| pipeline_tag |
tags |
model-index |
license |
language |
base_model |
| sentence-similarity |
| sentence-transformers |
| feature-extraction |
| sentence-similarity |
| mteb |
| transformers.js |
|
| name |
results |
| binarize_False |
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB AmazonCounterfactualClassification (en) |
en |
test |
e8379541af4e31359cca9fbcf4b00f2671dba205 |
|
| type |
value |
| accuracy |
78.13432835820896 |
|
| type |
value |
| ap |
42.190424731303246 |
|
| type |
value |
| f1 |
72.34446401534811 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB AmazonPolarityClassification |
default |
test |
e2d317d38cd51312af73b3d32a06d1a08b442046 |
|
| type |
value |
| accuracy |
93.093825 |
|
| type |
value |
| ap |
90.03727505544286 |
|
| type |
value |
| f1 |
93.0874055138833 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB AmazonReviewsClassification (en) |
en |
test |
1399c76144fd37290681b995c656ef9b2e06e26d |
|
| type |
value |
| accuracy |
48.428000000000004 |
|
| type |
value |
| f1 |
47.74311520203536 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB ArguAna |
default |
test |
c22ab2a51041ffd869aaddef7af8d8215647e41a |
|
| type |
value |
| map_at_1 |
23.898 |
|
| type |
value |
| map_at_10 |
39.775 |
|
| type |
value |
| map_at_100 |
40.827000000000005 |
|
| type |
value |
| map_at_1000 |
40.837 |
|
| type |
value |
| map_at_20 |
40.604 |
|
| type |
value |
| map_at_3 |
34.519 |
|
| type |
value |
| map_at_5 |
37.307 |
|
| type |
value |
| mrr_at_1 |
24.395 |
|
| type |
value |
| mrr_at_10 |
39.963 |
|
| type |
value |
| mrr_at_100 |
41.014 |
|
| type |
value |
| mrr_at_1000 |
41.024 |
|
| type |
value |
| mrr_at_20 |
40.791 |
|
| type |
value |
| mrr_at_3 |
34.732 |
|
| type |
value |
| mrr_at_5 |
37.480999999999995 |
|
| type |
value |
| ndcg_at_1 |
23.898 |
|
| type |
value |
| ndcg_at_10 |
48.962 |
|
| type |
value |
| ndcg_at_100 |
53.386 |
|
| type |
value |
| ndcg_at_1000 |
53.634 |
|
| type |
value |
| ndcg_at_20 |
51.898999999999994 |
|
| type |
value |
| ndcg_at_3 |
38.034 |
|
| type |
value |
| ndcg_at_5 |
43.036 |
|
| type |
value |
| precision_at_1 |
23.898 |
|
| type |
value |
| precision_at_10 |
7.852 |
|
| type |
value |
| precision_at_100 |
0.9769999999999999 |
|
| type |
value |
| precision_at_1000 |
0.1 |
|
| type |
value |
| precision_at_20 |
4.4990000000000006 |
|
| type |
value |
| precision_at_3 |
16.073999999999998 |
|
| type |
value |
| precision_at_5 |
12.063 |
|
| type |
value |
| recall_at_1 |
23.898 |
|
| type |
value |
| recall_at_10 |
78.521 |
|
| type |
value |
| recall_at_100 |
97.724 |
|
| type |
value |
| recall_at_1000 |
99.644 |
|
| type |
value |
| recall_at_20 |
89.972 |
|
| type |
value |
| recall_at_3 |
48.222 |
|
| type |
value |
| recall_at_5 |
60.313 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB ArxivClusteringP2P |
default |
test |
a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
|
| type |
value |
| v_measure |
47.69067314293749 |
|
| type |
value |
| v_measures |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
| 0.5575029526712674 |
| 0.5574020390232136 |
| 0.5536066904942645 |
| 0.5536169413675474 |
| 0.5566938602585987 |
| 0.5561143054736898 |
| 0.561846457174852 |
| 0.5511643632282144 |
| 0.5514762015499715 |
| 0.551824471283655 |
| 0.5148077891863135 |
| 0.29015461701593837 |
| 0.4430422977323321 |
| 0.40857527197890686 |
| 0.3479983114229163 |
| 0.27582001934225003 |
| 0.29595564003512503 |
| 0.22528676611734755 |
| 0.3073271865740206 |
| 1.0 |
| 0.2749401557058413 |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
| 0.5575029526712674 |
| 0.5574020390232136 |
| 0.5536066904942645 |
| 0.5536169413675474 |
| 0.5566938602585987 |
| 0.5561143054736898 |
| 0.561846457174852 |
| 0.5511643632282144 |
| 0.5514762015499715 |
| 0.551824471283655 |
| 0.5148077891863135 |
| 0.29015461701593837 |
| 0.4430422977323321 |
| 0.40857527197890686 |
| 0.3479983114229163 |
| 0.27582001934225003 |
| 0.29595564003512503 |
| 0.22528676611734755 |
| 0.3073271865740206 |
| 1.0 |
| 0.2749401557058413 |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
| 0.5575029526712674 |
| 0.5574020390232136 |
| 0.5536066904942645 |
| 0.5536169413675474 |
| 0.5566938602585987 |
| 0.5561143054736898 |
| 0.561846457174852 |
| 0.5511643632282144 |
| 0.5514762015499715 |
| 0.551824471283655 |
| 0.5148077891863135 |
| 0.29015461701593837 |
| 0.4430422977323321 |
| 0.40857527197890686 |
| 0.3479983114229163 |
| 0.27582001934225003 |
| 0.29595564003512503 |
| 0.22528676611734755 |
| 0.3073271865740206 |
| 1.0 |
| 0.2749401557058413 |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
| 0.5575029526712674 |
| 0.5574020390232136 |
| 0.5536066904942645 |
| 0.5536169413675474 |
| 0.5566938602585987 |
| 0.5561143054736898 |
| 0.561846457174852 |
| 0.5511643632282144 |
| 0.5514762015499715 |
| 0.551824471283655 |
| 0.5148077891863135 |
| 0.29015461701593837 |
| 0.4430422977323321 |
| 0.40857527197890686 |
| 0.3479983114229163 |
| 0.27582001934225003 |
| 0.29595564003512503 |
| 0.22528676611734755 |
| 0.3073271865740206 |
| 1.0 |
| 0.2749401557058413 |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
| 0.5575029526712674 |
| 0.5574020390232136 |
| 0.5536066904942645 |
| 0.5536169413675474 |
| 0.5566938602585987 |
| 0.5561143054736898 |
| 0.561846457174852 |
| 0.5511643632282144 |
| 0.5514762015499715 |
| 0.551824471283655 |
| 0.5148077891863135 |
| 0.29015461701593837 |
| 0.4430422977323321 |
| 0.40857527197890686 |
| 0.3479983114229163 |
| 0.27582001934225003 |
| 0.29595564003512503 |
| 0.22528676611734755 |
| 0.3073271865740206 |
| 1.0 |
| 0.2749401557058413 |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
| 0.5575029526712674 |
| 0.5574020390232136 |
| 0.5536066904942645 |
| 0.5536169413675474 |
| 0.5566938602585987 |
| 0.5561143054736898 |
| 0.561846457174852 |
| 0.5511643632282144 |
| 0.5514762015499715 |
| 0.551824471283655 |
| 0.5148077891863135 |
| 0.29015461701593837 |
| 0.4430422977323321 |
| 0.40857527197890686 |
| 0.3479983114229163 |
| 0.27582001934225003 |
| 0.29595564003512503 |
| 0.22528676611734755 |
| 0.3073271865740206 |
| 1.0 |
| 0.2749401557058413 |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
| 0.5575029526712674 |
| 0.5574020390232136 |
| 0.5536066904942645 |
| 0.5536169413675474 |
| 0.5566938602585987 |
| 0.5561143054736898 |
| 0.561846457174852 |
| 0.5511643632282144 |
| 0.5514762015499715 |
| 0.551824471283655 |
| 0.5148077891863135 |
| 0.29015461701593837 |
| 0.4430422977323321 |
| 0.40857527197890686 |
| 0.3479983114229163 |
| 0.27582001934225003 |
| 0.29595564003512503 |
| 0.22528676611734755 |
| 0.3073271865740206 |
| 1.0 |
| 0.2749401557058413 |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
| 0.5575029526712674 |
| 0.5574020390232136 |
| 0.5536066904942645 |
| 0.5536169413675474 |
| 0.5566938602585987 |
| 0.5561143054736898 |
| 0.561846457174852 |
| 0.5511643632282144 |
| 0.5514762015499715 |
| 0.551824471283655 |
| 0.5148077891863135 |
| 0.29015461701593837 |
| 0.4430422977323321 |
| 0.40857527197890686 |
| 0.3479983114229163 |
| 0.27582001934225003 |
| 0.29595564003512503 |
| 0.22528676611734755 |
| 0.3073271865740206 |
| 1.0 |
| 0.2749401557058413 |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
| 0.5575029526712674 |
| 0.5574020390232136 |
| 0.5536066904942645 |
| 0.5536169413675474 |
| 0.5566938602585987 |
| 0.5561143054736898 |
| 0.561846457174852 |
| 0.5511643632282144 |
| 0.5514762015499715 |
| 0.551824471283655 |
| 0.5148077891863135 |
| 0.29015461701593837 |
| 0.4430422977323321 |
| 0.40857527197890686 |
| 0.3479983114229163 |
| 0.27582001934225003 |
| 0.29595564003512503 |
| 0.22528676611734755 |
| 0.3073271865740206 |
| 1.0 |
| 0.2749401557058413 |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
| 0.5575029526712674 |
| 0.5574020390232136 |
| 0.5536066904942645 |
| 0.5536169413675474 |
| 0.5566938602585987 |
| 0.5561143054736898 |
| 0.561846457174852 |
| 0.5511643632282144 |
| 0.5514762015499715 |
| 0.551824471283655 |
| 0.5148077891863135 |
| 0.29015461701593837 |
| 0.4430422977323321 |
| 0.40857527197890686 |
| 0.3479983114229163 |
| 0.27582001934225003 |
| 0.29595564003512503 |
| 0.22528676611734755 |
| 0.3073271865740206 |
| 1.0 |
| 0.2749401557058413 |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
| 0.5575029526712674 |
| 0.5574020390232136 |
| 0.5536066904942645 |
| 0.5536169413675474 |
| 0.5566938602585987 |
| 0.5561143054736898 |
| 0.561846457174852 |
| 0.5511643632282144 |
| 0.5514762015499715 |
| 0.551824471283655 |
| 0.5148077891863135 |
| 0.29015461701593837 |
| 0.4430422977323321 |
| 0.40857527197890686 |
| 0.3479983114229163 |
| 0.27582001934225003 |
| 0.29595564003512503 |
| 0.22528676611734755 |
| 0.3073271865740206 |
| 1.0 |
| 0.2749401557058413 |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
| 0.5575029526712674 |
| 0.5574020390232136 |
| 0.5536066904942645 |
| 0.5536169413675474 |
| 0.5566938602585987 |
| 0.5561143054736898 |
| 0.561846457174852 |
| 0.5511643632282144 |
| 0.5514762015499715 |
| 0.551824471283655 |
| 0.5148077891863135 |
| 0.29015461701593837 |
| 0.4430422977323321 |
| 0.40857527197890686 |
| 0.3479983114229163 |
| 0.27582001934225003 |
| 0.29595564003512503 |
| 0.22528676611734755 |
| 0.3073271865740206 |
| 1.0 |
| 0.2749401557058413 |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
| 0.5575029526712674 |
| 0.5574020390232136 |
| 0.5536066904942645 |
| 0.5536169413675474 |
| 0.5566938602585987 |
| 0.5561143054736898 |
| 0.561846457174852 |
| 0.5511643632282144 |
| 0.5514762015499715 |
| 0.551824471283655 |
| 0.5148077891863135 |
| 0.29015461701593837 |
| 0.4430422977323321 |
| 0.40857527197890686 |
| 0.3479983114229163 |
| 0.27582001934225003 |
| 0.29595564003512503 |
| 0.22528676611734755 |
| 0.3073271865740206 |
| 1.0 |
| 0.2749401557058413 |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
| 0.5575029526712674 |
| 0.5574020390232136 |
| 0.5536066904942645 |
| 0.5536169413675474 |
| 0.5566938602585987 |
| 0.5561143054736898 |
| 0.561846457174852 |
| 0.5511643632282144 |
| 0.5514762015499715 |
| 0.551824471283655 |
| 0.5148077891863135 |
| 0.29015461701593837 |
| 0.4430422977323321 |
| 0.40857527197890686 |
| 0.3479983114229163 |
| 0.27582001934225003 |
| 0.29595564003512503 |
| 0.22528676611734755 |
| 0.3073271865740206 |
| 1.0 |
| 0.2749401557058413 |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
| 0.5575029526712674 |
| 0.5574020390232136 |
| 0.5536066904942645 |
| 0.5536169413675474 |
| 0.5566938602585987 |
| 0.5561143054736898 |
| 0.561846457174852 |
| 0.5511643632282144 |
| 0.5514762015499715 |
| 0.551824471283655 |
| 0.5148077891863135 |
| 0.29015461701593837 |
| 0.4430422977323321 |
| 0.40857527197890686 |
| 0.3479983114229163 |
| 0.27582001934225003 |
| 0.29595564003512503 |
| 0.22528676611734755 |
| 0.3073271865740206 |
| 1.0 |
| 0.2749401557058413 |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
| 0.5575029526712674 |
| 0.5574020390232136 |
| 0.5536066904942645 |
| 0.5536169413675474 |
| 0.5566938602585987 |
| 0.5561143054736898 |
| 0.561846457174852 |
| 0.5511643632282144 |
| 0.5514762015499715 |
| 0.551824471283655 |
| 0.5148077891863135 |
| 0.29015461701593837 |
| 0.4430422977323321 |
| 0.40857527197890686 |
| 0.3479983114229163 |
| 0.27582001934225003 |
| 0.29595564003512503 |
| 0.22528676611734755 |
| 0.3073271865740206 |
| 1.0 |
| 0.2749401557058413 |
| 0.4953006738713271 |
| 0.500982950617211 |
| 0.490168788349858 |
| 0.4924060458428337 |
| 0.475176328561399 |
| 0.47446297663785564 |
| 0.46948807073019405 |
| 0.4772028638329531 |
| 0.48735189935310713 |
| 0.48641173887761663 |
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| 0.2749401557058413 |
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| 1.0 |
| 0.2749401557058413 |
|
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB ArxivClusteringS2S |
default |
test |
f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
|
| type |
value |
| v_measure |
38.0916537995626 |
|
| type |
value |
| v_measures |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
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| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
| 0.43410597641884624 |
| 0.43900908630646696 |
| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
| 0.43410597641884624 |
| 0.43900908630646696 |
| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
| 0.43410597641884624 |
| 0.43900908630646696 |
| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
| 0.43410597641884624 |
| 0.43900908630646696 |
| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
| 0.43410597641884624 |
| 0.43900908630646696 |
| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
| 0.43410597641884624 |
| 0.43900908630646696 |
| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
| 0.43410597641884624 |
| 0.43900908630646696 |
| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
| 0.43410597641884624 |
| 0.43900908630646696 |
| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
| 0.43410597641884624 |
| 0.43900908630646696 |
| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
| 0.43410597641884624 |
| 0.43900908630646696 |
| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
| 0.43410597641884624 |
| 0.43900908630646696 |
| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
| 0.43410597641884624 |
| 0.43900908630646696 |
| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
| 0.43410597641884624 |
| 0.43900908630646696 |
| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
| 0.43410597641884624 |
| 0.43900908630646696 |
| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
| 0.43410597641884624 |
| 0.43900908630646696 |
| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
| 0.37814352051854533 |
| 0.39235658929084877 |
| 0.3871170834588581 |
| 0.4042678213739614 |
| 0.3918486409557737 |
| 0.38473003463452093 |
| 0.35622070034791886 |
| 0.3911472272128115 |
| 0.3986923912337426 |
| 0.39040109467533013 |
| 0.4370949482641744 |
| 0.4414023630938724 |
| 0.4351473848532441 |
| 0.4401176389499172 |
| 0.4423731097742471 |
| 0.438309696145818 |
| 0.43410597641884624 |
| 0.43900908630646696 |
| 0.44081346534023286 |
| 0.4386000014888906 |
| 0.4047539306032343 |
| 0.21697191913450847 |
| 0.29241358200068185 |
| 0.3390740154458194 |
| 0.2793967439904601 |
| 0.20383792346854981 |
| 0.23904022437429004 |
| 0.14733601126565044 |
| 0.22946888289524586 |
| 1.0 |
| 0.19422067034794377 |
|
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB AskUbuntuDupQuestions |
default |
test |
2000358ca161889fa9c082cb41daa8dcfb161a54 |
|
| type |
value |
| map |
62.33195643912506 |
|
| type |
value |
| mrr |
76.43978366970057 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB BIOSSES |
default |
test |
d3fb88f8f02e40887cd149695127462bbcf29b4a |
|
| type |
value |
| cos_sim_pearson |
81.20285894915236 |
|
| type |
value |
| cos_sim_spearman |
78.16322678527897 |
|
| type |
value |
| euclidean_pearson |
80.6118408638417 |
|
| type |
value |
| euclidean_spearman |
78.19033583671204 |
|
| type |
value |
| manhattan_pearson |
80.41282660275819 |
|
| type |
value |
| manhattan_spearman |
77.98611431591628 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB Banking77Classification |
default |
test |
0fd18e25b25c072e09e0d92ab615fda904d66300 |
|
| type |
value |
| accuracy |
85.25324675324676 |
|
| type |
value |
| f1 |
85.19854235582687 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB BiorxivClusteringP2P |
default |
test |
65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
|
| type |
value |
| v_measure |
39.65216461057432 |
|
| type |
value |
| v_measures |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
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| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
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| 0.409550367831406 |
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| 0.38843873187080014 |
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| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
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| 0.40032616646112934 |
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| 0.3842865397042604 |
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| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
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| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
| 0.409550367831406 |
| 0.3943451642663655 |
| 0.38843873187080014 |
| 0.40032616646112934 |
| 0.3956833025503425 |
| 0.3842865397042604 |
| 0.3950585966936957 |
| 0.41669832667987455 |
| 0.39790986378306964 |
| 0.3829194012164885 |
|
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB BiorxivClusteringS2S |
default |
test |
258694dd0231531bc1fd9de6ceb52a0853c6d908 |
|
| type |
value |
| v_measure |
33.28787287895752 |
|
| type |
value |
| v_measures |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
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| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
| 0.3235019092705102 |
| 0.34053753555843735 |
| 0.32485572754337366 |
| 0.3149662563474906 |
| 0.3326837187664875 |
| 0.3229632335470733 |
| 0.33078383561261365 |
| 0.35111148393509534 |
| 0.33383133843449825 |
| 0.35355224888017306 |
|
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| BeIR/cqadupstack |
MTEB CQADupstackAndroidRetrieval |
default |
test |
f46a197baaae43b4f621051089b82a364682dfeb |
|
| type |
value |
| map_at_1 |
32.677 |
|
| type |
value |
| map_at_10 |
43.739 |
|
| type |
value |
| map_at_100 |
45.152 |
|
| type |
value |
| map_at_1000 |
45.279 |
|
| type |
value |
| map_at_20 |
44.553 |
|
| type |
value |
| map_at_3 |
40.321 |
|
| type |
value |
| map_at_5 |
42.201 |
|
|
|
| type |
value |
| mrr_at_10 |
49.755 |
|
| type |
value |
| mrr_at_100 |
50.468 |
|
| type |
value |
| mrr_at_1000 |
50.513 |
|
| type |
value |
| mrr_at_20 |
50.192 |
|
| type |
value |
| mrr_at_3 |
47.163 |
|
| type |
value |
| mrr_at_5 |
48.686 |
|
| type |
value |
| ndcg_at_1 |
40.2 |
|
| type |
value |
| ndcg_at_10 |
49.963 |
|
| type |
value |
| ndcg_at_100 |
54.978 |
|
| type |
value |
| ndcg_at_1000 |
56.979 |
|
| type |
value |
| ndcg_at_20 |
51.983000000000004 |
|
| type |
value |
| ndcg_at_3 |
45.086999999999996 |
|
| type |
value |
| ndcg_at_5 |
47.309 |
|
| type |
value |
| precision_at_1 |
40.2 |
|
| type |
value |
| precision_at_10 |
9.328 |
|
| type |
value |
| precision_at_100 |
1.443 |
|
| type |
value |
| precision_at_1000 |
0.19 |
|
| type |
value |
| precision_at_20 |
5.558 |
|
| type |
value |
| precision_at_3 |
21.364 |
|
| type |
value |
| precision_at_5 |
15.222 |
|
| type |
value |
| recall_at_1 |
32.677 |
|
| type |
value |
| recall_at_10 |
61.71 |
|
| type |
value |
| recall_at_100 |
82.431 |
|
| type |
value |
| recall_at_1000 |
94.896 |
|
| type |
value |
| recall_at_20 |
68.73700000000001 |
|
| type |
value |
| recall_at_3 |
47.431 |
|
| type |
value |
| recall_at_5 |
53.739000000000004 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| BeIR/cqadupstack |
MTEB CQADupstackEnglishRetrieval |
default |
test |
ad9991cb51e31e31e430383c75ffb2885547b5f0 |
|
| type |
value |
| map_at_1 |
32.71 |
|
| type |
value |
| map_at_10 |
43.297000000000004 |
|
| type |
value |
| map_at_100 |
44.607 |
|
| type |
value |
| map_at_1000 |
44.729 |
|
| type |
value |
| map_at_20 |
44.013999999999996 |
|
| type |
value |
| map_at_3 |
40.213 |
|
| type |
value |
| map_at_5 |
42.004000000000005 |
|
| type |
value |
| mrr_at_1 |
40.892 |
|
| type |
value |
| mrr_at_10 |
49.394 |
|
| type |
value |
| mrr_at_100 |
50.005 |
|
| type |
value |
| mrr_at_1000 |
50.043000000000006 |
|
| type |
value |
| mrr_at_20 |
49.764 |
|
| type |
value |
| mrr_at_3 |
47.134 |
|
| type |
value |
| mrr_at_5 |
48.522 |
|
| type |
value |
| ndcg_at_1 |
40.892 |
|
| type |
value |
| ndcg_at_10 |
49.047000000000004 |
|
| type |
value |
| ndcg_at_100 |
53.266999999999996 |
|
| type |
value |
| ndcg_at_1000 |
55.096999999999994 |
|
| type |
value |
| ndcg_at_20 |
50.707 |
|
| type |
value |
| ndcg_at_3 |
44.896 |
|
| type |
value |
| ndcg_at_5 |
46.983000000000004 |
|
| type |
value |
| precision_at_1 |
40.892 |
|
| type |
value |
| precision_at_10 |
9.293 |
|
| type |
value |
| precision_at_100 |
1.473 |
|
| type |
value |
| precision_at_1000 |
0.192 |
|
| type |
value |
| precision_at_20 |
5.446 |
|
| type |
value |
| precision_at_3 |
21.592 |
|
| type |
value |
| precision_at_5 |
15.540999999999999 |
|
| type |
value |
| recall_at_1 |
32.71 |
|
| type |
value |
| recall_at_10 |
58.592999999999996 |
|
| type |
value |
| recall_at_100 |
76.242 |
|
| type |
value |
| recall_at_1000 |
87.717 |
|
| type |
value |
| recall_at_20 |
64.646 |
|
| type |
value |
| recall_at_3 |
46.253 |
|
| type |
value |
| recall_at_5 |
51.946999999999996 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| BeIR/cqadupstack |
MTEB CQADupstackGamingRetrieval |
default |
test |
4885aa143210c98657558c04aaf3dc47cfb54340 |
|
| type |
value |
| map_at_1 |
41.644999999999996 |
|
| type |
value |
| map_at_10 |
53.825 |
|
| type |
value |
| map_at_100 |
54.82 |
|
| type |
value |
| map_at_1000 |
54.87499999999999 |
|
| type |
value |
| map_at_20 |
54.43 |
|
| type |
value |
| map_at_3 |
50.705 |
|
| type |
value |
| map_at_5 |
52.501 |
|
| type |
value |
| mrr_at_1 |
47.524 |
|
| type |
value |
| mrr_at_10 |
57.260999999999996 |
|
| type |
value |
| mrr_at_100 |
57.902 |
|
| type |
value |
| mrr_at_1000 |
57.931999999999995 |
|
| type |
value |
| mrr_at_20 |
57.689 |
|
| type |
value |
| mrr_at_3 |
55.089 |
|
| type |
value |
| mrr_at_5 |
56.38999999999999 |
|
| type |
value |
| ndcg_at_1 |
47.524 |
|
| type |
value |
| ndcg_at_10 |
59.41499999999999 |
|
| type |
value |
| ndcg_at_100 |
63.258 |
|
| type |
value |
| ndcg_at_1000 |
64.376 |
|
| type |
value |
| ndcg_at_20 |
61.149 |
|
| type |
value |
| ndcg_at_3 |
54.381 |
|
| type |
value |
| ndcg_at_5 |
56.89999999999999 |
|
| type |
value |
| precision_at_1 |
47.524 |
|
| type |
value |
| precision_at_10 |
9.386 |
|
| type |
value |
| precision_at_100 |
1.221 |
|
| type |
value |
| precision_at_1000 |
0.136 |
|
| type |
value |
| precision_at_20 |
5.223 |
|
| type |
value |
| precision_at_3 |
24.096 |
|
| type |
value |
| precision_at_5 |
16.364 |
|
| type |
value |
| recall_at_1 |
41.644999999999996 |
|
| type |
value |
| recall_at_10 |
72.386 |
|
| type |
value |
| recall_at_100 |
88.794 |
|
| type |
value |
| recall_at_1000 |
96.75399999999999 |
|
| type |
value |
| recall_at_20 |
78.74 |
|
| type |
value |
| recall_at_3 |
59.028000000000006 |
|
| type |
value |
| recall_at_5 |
65.197 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| BeIR/cqadupstack |
MTEB CQADupstackGisRetrieval |
default |
test |
5003b3064772da1887988e05400cf3806fe491f2 |
|
| type |
value |
| map_at_1 |
28.648 |
|
| type |
value |
| map_at_10 |
36.388999999999996 |
|
| type |
value |
| map_at_100 |
37.372 |
|
| type |
value |
| map_at_1000 |
37.457 |
|
| type |
value |
| map_at_20 |
36.912 |
|
| type |
value |
| map_at_3 |
34.076 |
|
| type |
value |
| map_at_5 |
35.415 |
|
| type |
value |
| mrr_at_1 |
30.508000000000003 |
|
| type |
value |
| mrr_at_10 |
38.132 |
|
| type |
value |
| mrr_at_100 |
39.04 |
|
| type |
value |
| mrr_at_1000 |
39.106 |
|
| type |
value |
| mrr_at_20 |
38.643 |
|
| type |
value |
| mrr_at_3 |
35.876000000000005 |
|
| type |
value |
| mrr_at_5 |
37.208999999999996 |
|
| type |
value |
| ndcg_at_1 |
30.508000000000003 |
|
| type |
value |
| ndcg_at_10 |
40.762 |
|
| type |
value |
| ndcg_at_100 |
45.732 |
|
| type |
value |
| ndcg_at_1000 |
47.799 |
|
| type |
value |
| ndcg_at_20 |
42.591 |
|
| type |
value |
| ndcg_at_3 |
36.266999999999996 |
|
| type |
value |
| ndcg_at_5 |
38.58 |
|
| type |
value |
| precision_at_1 |
30.508000000000003 |
|
| type |
value |
| precision_at_10 |
6.010999999999999 |
|
| type |
value |
| precision_at_100 |
0.897 |
|
| type |
value |
| precision_at_1000 |
0.11100000000000002 |
|
| type |
value |
| precision_at_20 |
3.412 |
|
| type |
value |
| precision_at_3 |
14.991 |
|
| type |
value |
| precision_at_5 |
10.328 |
|
| type |
value |
| recall_at_1 |
28.648 |
|
| type |
value |
| recall_at_10 |
52.342999999999996 |
|
| type |
value |
| recall_at_100 |
75.268 |
|
| type |
value |
| recall_at_1000 |
90.641 |
|
| type |
value |
| recall_at_20 |
59.303 |
|
| type |
value |
| recall_at_3 |
40.447 |
|
| type |
value |
| recall_at_5 |
46.117000000000004 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| BeIR/cqadupstack |
MTEB CQADupstackMathematicaRetrieval |
default |
test |
90fceea13679c63fe563ded68f3b6f06e50061de |
|
| type |
value |
| map_at_1 |
18.476 |
|
| type |
value |
| map_at_10 |
27.148 |
|
| type |
value |
| map_at_100 |
28.317999999999998 |
|
| type |
value |
| map_at_1000 |
28.427999999999997 |
|
| type |
value |
| map_at_20 |
27.764 |
|
| type |
value |
| map_at_3 |
24.801000000000002 |
|
| type |
value |
| map_at_5 |
26.133 |
|
| type |
value |
| mrr_at_1 |
22.886 |
|
| type |
value |
| mrr_at_10 |
31.741000000000003 |
|
| type |
value |
| mrr_at_100 |
32.708 |
|
| type |
value |
| mrr_at_1000 |
32.769 |
|
| type |
value |
| mrr_at_20 |
32.296 |
|
| type |
value |
| mrr_at_3 |
29.498 |
|
| type |
value |
| mrr_at_5 |
30.773 |
|
| type |
value |
| ndcg_at_1 |
22.886 |
|
| type |
value |
| ndcg_at_10 |
32.265 |
|
| type |
value |
| ndcg_at_100 |
37.829 |
|
| type |
value |
| ndcg_at_1000 |
40.558 |
|
| type |
value |
| ndcg_at_20 |
34.372 |
|
| type |
value |
| ndcg_at_3 |
28.105000000000004 |
|
| type |
value |
| ndcg_at_5 |
30.04 |
|
| type |
value |
| precision_at_1 |
22.886 |
|
| type |
value |
| precision_at_10 |
5.808 |
|
| type |
value |
| precision_at_100 |
0.985 |
|
| type |
value |
| precision_at_1000 |
0.13699999999999998 |
|
| type |
value |
| precision_at_20 |
3.495 |
|
| type |
value |
| precision_at_3 |
13.639999999999999 |
|
| type |
value |
| precision_at_5 |
9.577 |
|
| type |
value |
| recall_at_1 |
18.476 |
|
| type |
value |
| recall_at_10 |
43.442 |
|
| type |
value |
| recall_at_100 |
67.376 |
|
| type |
value |
| recall_at_1000 |
86.874 |
|
| type |
value |
| recall_at_20 |
51.038 |
|
| type |
value |
| recall_at_3 |
31.785999999999998 |
|
| type |
value |
| recall_at_5 |
36.858999999999995 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| BeIR/cqadupstack |
MTEB CQADupstackPhysicsRetrieval |
default |
test |
79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 |
|
| type |
value |
| map_at_1 |
29.098000000000003 |
|
| type |
value |
| map_at_10 |
38.97 |
|
| type |
value |
| map_at_100 |
40.293 |
|
| type |
value |
| map_at_1000 |
40.397 |
|
| type |
value |
| map_at_20 |
39.778999999999996 |
|
| type |
value |
| map_at_3 |
35.723 |
|
| type |
value |
| map_at_5 |
37.519999999999996 |
|
| type |
value |
| mrr_at_1 |
35.515 |
|
| type |
value |
| mrr_at_10 |
44.55 |
|
| type |
value |
| mrr_at_100 |
45.37 |
|
| type |
value |
| mrr_at_1000 |
45.412 |
|
| type |
value |
| mrr_at_20 |
45.054 |
|
| type |
value |
| mrr_at_3 |
41.835 |
|
| type |
value |
| mrr_at_5 |
43.356 |
|
| type |
value |
| ndcg_at_1 |
35.515 |
|
| type |
value |
| ndcg_at_10 |
44.91 |
|
| type |
value |
| ndcg_at_100 |
50.27700000000001 |
|
| type |
value |
| ndcg_at_1000 |
52.215 |
|
| type |
value |
| ndcg_at_20 |
47.235 |
|
| type |
value |
| ndcg_at_3 |
39.505 |
|
| type |
value |
| ndcg_at_5 |
42.016 |
|
| type |
value |
| precision_at_1 |
35.515 |
|
| type |
value |
| precision_at_10 |
8.152 |
|
| type |
value |
| precision_at_100 |
1.262 |
|
| type |
value |
| precision_at_1000 |
0.16 |
|
| type |
value |
| precision_at_20 |
4.851 |
|
| type |
value |
| precision_at_3 |
18.447 |
|
| type |
value |
| precision_at_5 |
13.321 |
|
| type |
value |
| recall_at_1 |
29.098000000000003 |
|
| type |
value |
| recall_at_10 |
57.115 |
|
| type |
value |
| recall_at_100 |
79.467 |
|
| type |
value |
| recall_at_1000 |
92.162 |
|
| type |
value |
| recall_at_20 |
65.161 |
|
| type |
value |
| recall_at_3 |
42.254000000000005 |
|
| type |
value |
| recall_at_5 |
48.415 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| BeIR/cqadupstack |
MTEB CQADupstackProgrammersRetrieval |
default |
test |
6184bc1440d2dbc7612be22b50686b8826d22b32 |
|
| type |
value |
| map_at_1 |
27.372000000000003 |
|
| type |
value |
| map_at_10 |
37.781 |
|
| type |
value |
| map_at_100 |
39.128 |
|
| type |
value |
| map_at_1000 |
39.238 |
|
| type |
value |
| map_at_20 |
38.592 |
|
| type |
value |
| map_at_3 |
34.782999999999994 |
|
| type |
value |
| map_at_5 |
36.466 |
|
| type |
value |
| mrr_at_1 |
33.904 |
|
| type |
value |
| mrr_at_10 |
43.15 |
|
| type |
value |
| mrr_at_100 |
44.049 |
|
| type |
value |
| mrr_at_1000 |
44.107 |
|
| type |
value |
| mrr_at_20 |
43.721 |
|
| type |
value |
| mrr_at_3 |
40.677 |
|
| type |
value |
| mrr_at_5 |
42.19 |
|
| type |
value |
| ndcg_at_1 |
33.904 |
|
| type |
value |
| ndcg_at_10 |
43.527 |
|
| type |
value |
| ndcg_at_100 |
49.004999999999995 |
|
| type |
value |
| ndcg_at_1000 |
51.276999999999994 |
|
| type |
value |
| ndcg_at_20 |
45.988 |
|
| type |
value |
| ndcg_at_3 |
38.824999999999996 |
|
| type |
value |
| ndcg_at_5 |
41.04 |
|
| type |
value |
| precision_at_1 |
33.904 |
|
| type |
value |
| precision_at_10 |
7.854 |
|
| type |
value |
| precision_at_100 |
1.2309999999999999 |
|
| type |
value |
| precision_at_1000 |
0.16 |
|
| type |
value |
| precision_at_20 |
4.692 |
|
| type |
value |
| precision_at_3 |
18.531 |
|
| type |
value |
| precision_at_5 |
13.150999999999998 |
|
| type |
value |
| recall_at_1 |
27.372000000000003 |
|
| type |
value |
| recall_at_10 |
55.245999999999995 |
|
| type |
value |
| recall_at_100 |
78.278 |
|
| type |
value |
| recall_at_1000 |
93.718 |
|
| type |
value |
| recall_at_20 |
64.095 |
|
| type |
value |
| recall_at_3 |
41.665 |
|
| type |
value |
| recall_at_5 |
47.632000000000005 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| BeIR/cqadupstack |
MTEB CQADupstackRetrieval |
default |
test |
f46a197baaae43b4f621051089b82a364682dfeb |
|
| type |
value |
| map_at_1 |
27.734166666666667 |
|
| type |
value |
| map_at_10 |
36.858 |
|
| type |
value |
| map_at_100 |
38.043833333333325 |
|
| type |
value |
| map_at_1000 |
38.15541666666667 |
|
| type |
value |
| map_at_20 |
37.521249999999995 |
|
| type |
value |
| map_at_3 |
34.07658333333333 |
|
| type |
value |
| map_at_5 |
35.62683333333333 |
|
| type |
value |
| mrr_at_1 |
32.676249999999996 |
|
| type |
value |
| mrr_at_10 |
40.999 |
|
| type |
value |
| mrr_at_100 |
41.835 |
|
| type |
value |
| mrr_at_1000 |
41.8895 |
|
| type |
value |
| mrr_at_20 |
41.4865 |
|
| type |
value |
| mrr_at_3 |
38.645 |
|
| type |
value |
| mrr_at_5 |
39.99725000000001 |
|
| type |
value |
| ndcg_at_1 |
32.676249999999996 |
|
| type |
value |
| ndcg_at_10 |
42.08016666666666 |
|
| type |
value |
| ndcg_at_100 |
47.082750000000004 |
|
| type |
value |
| ndcg_at_1000 |
49.276583333333335 |
|
| type |
value |
| ndcg_at_20 |
44.04808333333334 |
|
| type |
value |
| ndcg_at_3 |
37.43375 |
|
| type |
value |
| ndcg_at_5 |
39.623000000000005 |
|
| type |
value |
| precision_at_1 |
32.676249999999996 |
|
| type |
value |
| precision_at_10 |
7.271 |
|
| type |
value |
| precision_at_100 |
1.1458333333333333 |
|
| type |
value |
| precision_at_1000 |
0.152 |
|
| type |
value |
| precision_at_20 |
4.282916666666667 |
|
| type |
value |
| precision_at_3 |
17.061416666666666 |
|
| type |
value |
| precision_at_5 |
12.05466666666667 |
|
| type |
value |
| recall_at_1 |
27.734166666666667 |
|
| type |
value |
| recall_at_10 |
53.33574999999999 |
|
| type |
value |
| recall_at_100 |
75.16275 |
|
| type |
value |
| recall_at_1000 |
90.34891666666665 |
|
| type |
value |
| recall_at_20 |
60.4935 |
|
| type |
value |
| recall_at_3 |
40.377916666666664 |
|
| type |
value |
| recall_at_5 |
46.0195 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| BeIR/cqadupstack |
MTEB CQADupstackStatsRetrieval |
default |
test |
65ac3a16b8e91f9cee4c9828cc7c335575432a2a |
|
| type |
value |
| map_at_1 |
25.653 |
|
| type |
value |
| map_at_10 |
32.151 |
|
| type |
value |
| map_at_100 |
33.152 |
|
| type |
value |
| map_at_1000 |
33.243 |
|
| type |
value |
| map_at_20 |
32.717 |
|
| type |
value |
| map_at_3 |
30.287 |
|
| type |
value |
| map_at_5 |
31.25 |
|
| type |
value |
| mrr_at_1 |
28.988000000000003 |
|
| type |
value |
| mrr_at_10 |
35.131 |
|
| type |
value |
| mrr_at_100 |
36.002 |
|
| type |
value |
| mrr_at_1000 |
36.069 |
|
| type |
value |
| mrr_at_20 |
35.61 |
|
| type |
value |
| mrr_at_3 |
33.308 |
|
| type |
value |
| mrr_at_5 |
34.259 |
|
| type |
value |
| ndcg_at_1 |
28.988000000000003 |
|
| type |
value |
| ndcg_at_10 |
35.988 |
|
| type |
value |
| ndcg_at_100 |
40.764 |
|
| type |
value |
| ndcg_at_1000 |
43.112 |
|
| type |
value |
| ndcg_at_20 |
37.852999999999994 |
|
| type |
value |
| ndcg_at_3 |
32.562000000000005 |
|
| type |
value |
| ndcg_at_5 |
33.983000000000004 |
|
| type |
value |
| precision_at_1 |
28.988000000000003 |
|
| type |
value |
| precision_at_10 |
5.475 |
|
| type |
value |
| precision_at_100 |
0.8500000000000001 |
|
| type |
value |
| precision_at_1000 |
0.11199999999999999 |
|
| type |
value |
| precision_at_20 |
3.229 |
|
| type |
value |
| precision_at_3 |
13.905999999999999 |
|
| type |
value |
| precision_at_5 |
9.386999999999999 |
|
| type |
value |
| recall_at_1 |
25.653 |
|
| type |
value |
| recall_at_10 |
44.962 |
|
| type |
value |
| recall_at_100 |
66.405 |
|
| type |
value |
| recall_at_1000 |
83.88799999999999 |
|
| type |
value |
| recall_at_20 |
51.79899999999999 |
|
| type |
value |
| recall_at_3 |
35.144999999999996 |
|
| type |
value |
| recall_at_5 |
38.814 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| BeIR/cqadupstack |
MTEB CQADupstackTexRetrieval |
default |
test |
46989137a86843e03a6195de44b09deda022eec7 |
|
| type |
value |
| map_at_1 |
17.825 |
|
| type |
value |
| map_at_10 |
25.592 |
|
| type |
value |
| map_at_100 |
26.613999999999997 |
|
| type |
value |
| map_at_1000 |
26.734 |
|
| type |
value |
| map_at_20 |
26.115 |
|
| type |
value |
| map_at_3 |
23.119 |
|
| type |
value |
| map_at_5 |
24.54 |
|
| type |
value |
| mrr_at_1 |
21.335 |
|
| type |
value |
| mrr_at_10 |
29.165000000000003 |
|
| type |
value |
| mrr_at_100 |
30.049 |
|
| type |
value |
| mrr_at_1000 |
30.121 |
|
| type |
value |
| mrr_at_20 |
29.639 |
|
| type |
value |
| mrr_at_3 |
26.863999999999997 |
|
| type |
value |
| mrr_at_5 |
28.185 |
|
| type |
value |
| ndcg_at_1 |
21.335 |
|
| type |
value |
| ndcg_at_10 |
30.357 |
|
| type |
value |
| ndcg_at_100 |
35.410000000000004 |
|
| type |
value |
| ndcg_at_1000 |
38.24 |
|
| type |
value |
| ndcg_at_20 |
32.08 |
|
| type |
value |
| ndcg_at_3 |
25.95 |
|
| type |
value |
| ndcg_at_5 |
28.081 |
|
| type |
value |
| precision_at_1 |
21.335 |
|
| type |
value |
| precision_at_10 |
5.506 |
|
| type |
value |
| precision_at_100 |
0.928 |
|
| type |
value |
| precision_at_1000 |
0.135 |
|
| type |
value |
| precision_at_20 |
3.2550000000000003 |
|
| type |
value |
| precision_at_3 |
12.239 |
|
| type |
value |
| precision_at_5 |
8.885 |
|
| type |
value |
| recall_at_1 |
17.825 |
|
| type |
value |
| recall_at_10 |
41.105999999999995 |
|
| type |
value |
| recall_at_100 |
64.17 |
|
| type |
value |
| recall_at_1000 |
84.19200000000001 |
|
| type |
value |
| recall_at_20 |
47.497 |
|
| type |
value |
| recall_at_3 |
28.862 |
|
| type |
value |
| recall_at_5 |
34.348 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| BeIR/cqadupstack |
MTEB CQADupstackUnixRetrieval |
default |
test |
6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 |
|
| type |
value |
| map_at_1 |
29.435 |
|
| type |
value |
| map_at_10 |
38.261 |
|
| type |
value |
| map_at_100 |
39.242 |
|
| type |
value |
| map_at_1000 |
39.347 |
|
| type |
value |
| map_at_20 |
38.742 |
|
| type |
value |
| map_at_3 |
35.457 |
|
| type |
value |
| map_at_5 |
37.043 |
|
| type |
value |
| mrr_at_1 |
34.235 |
|
| type |
value |
| mrr_at_10 |
42.24 |
|
| type |
value |
| mrr_at_100 |
42.988 |
|
| type |
value |
| mrr_at_1000 |
43.043 |
|
| type |
value |
| mrr_at_20 |
42.613 |
|
| type |
value |
| mrr_at_3 |
39.832 |
|
| type |
value |
| mrr_at_5 |
41.227000000000004 |
|
| type |
value |
| ndcg_at_1 |
34.235 |
|
| type |
value |
| ndcg_at_10 |
43.384 |
|
| type |
value |
| ndcg_at_100 |
48.14 |
|
| type |
value |
| ndcg_at_1000 |
50.414 |
|
| type |
value |
| ndcg_at_20 |
44.913 |
|
| type |
value |
| ndcg_at_3 |
38.454 |
|
| type |
value |
| ndcg_at_5 |
40.776 |
|
| type |
value |
| precision_at_1 |
34.235 |
|
| type |
value |
| precision_at_10 |
7.164 |
|
| type |
value |
| precision_at_100 |
1.065 |
|
| type |
value |
| precision_at_1000 |
0.13699999999999998 |
|
| type |
value |
| precision_at_20 |
4.021 |
|
| type |
value |
| precision_at_3 |
17.226 |
|
| type |
value |
| precision_at_5 |
12.071 |
|
| type |
value |
| recall_at_1 |
29.435 |
|
| type |
value |
| recall_at_10 |
54.93900000000001 |
|
| type |
value |
| recall_at_100 |
76.176 |
|
| type |
value |
| recall_at_1000 |
91.989 |
|
| type |
value |
| recall_at_20 |
60.451 |
|
| type |
value |
| recall_at_3 |
41.332 |
|
| type |
value |
| recall_at_5 |
47.316 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| BeIR/cqadupstack |
MTEB CQADupstackWebmastersRetrieval |
default |
test |
160c094312a0e1facb97e55eeddb698c0abe3571 |
|
| type |
value |
| map_at_1 |
25.605 |
|
| type |
value |
| map_at_10 |
34.162 |
|
| type |
value |
| map_at_100 |
35.827999999999996 |
|
| type |
value |
| map_at_1000 |
36.04 |
|
| type |
value |
| map_at_20 |
35.016000000000005 |
|
| type |
value |
| map_at_3 |
30.984 |
|
| type |
value |
| map_at_5 |
32.717 |
|
| type |
value |
| mrr_at_1 |
30.435000000000002 |
|
| type |
value |
| mrr_at_10 |
38.681 |
|
| type |
value |
| mrr_at_100 |
39.656000000000006 |
|
| type |
value |
| mrr_at_1000 |
39.71 |
|
| type |
value |
| mrr_at_20 |
39.208999999999996 |
|
| type |
value |
| mrr_at_3 |
35.903 |
|
| type |
value |
| mrr_at_5 |
37.454 |
|
| type |
value |
| ndcg_at_1 |
30.435000000000002 |
|
| type |
value |
| ndcg_at_10 |
39.916000000000004 |
|
| type |
value |
| ndcg_at_100 |
45.958 |
|
| type |
value |
| ndcg_at_1000 |
48.449999999999996 |
|
| type |
value |
| ndcg_at_20 |
42.085 |
|
| type |
value |
| ndcg_at_3 |
34.696 |
|
| type |
value |
| ndcg_at_5 |
37.147000000000006 |
|
| type |
value |
| precision_at_1 |
30.435000000000002 |
|
| type |
value |
| precision_at_10 |
7.767 |
|
| type |
value |
| precision_at_100 |
1.547 |
|
| type |
value |
| precision_at_1000 |
0.23800000000000002 |
|
| type |
value |
| precision_at_20 |
4.941 |
|
| type |
value |
| precision_at_3 |
16.073999999999998 |
|
| type |
value |
| precision_at_5 |
11.937000000000001 |
|
| type |
value |
| recall_at_1 |
25.605 |
|
| type |
value |
| recall_at_10 |
50.654999999999994 |
|
| type |
value |
| recall_at_100 |
77.609 |
|
| type |
value |
| recall_at_1000 |
93.518 |
|
| type |
value |
| recall_at_20 |
58.845000000000006 |
|
| type |
value |
| recall_at_3 |
36.272 |
|
| type |
value |
| recall_at_5 |
42.596000000000004 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| BeIR/cqadupstack |
MTEB CQADupstackWordpressRetrieval |
default |
test |
4ffe81d471b1924886b33c7567bfb200e9eec5c4 |
|
| type |
value |
| map_at_1 |
23.666 |
|
| type |
value |
| map_at_10 |
30.980999999999998 |
|
| type |
value |
| map_at_100 |
32.0 |
|
| type |
value |
| map_at_1000 |
32.098 |
|
| type |
value |
| map_at_20 |
31.621 |
|
| type |
value |
| map_at_3 |
28.449999999999996 |
|
| type |
value |
| map_at_5 |
29.731999999999996 |
|
| type |
value |
| mrr_at_1 |
25.692999999999998 |
|
| type |
value |
| mrr_at_10 |
32.788000000000004 |
|
| type |
value |
| mrr_at_100 |
33.783 |
|
| type |
value |
| mrr_at_1000 |
33.849000000000004 |
|
| type |
value |
| mrr_at_20 |
33.408 |
|
| type |
value |
| mrr_at_3 |
30.561 |
|
| type |
value |
| mrr_at_5 |
31.716 |
|
| type |
value |
| ndcg_at_1 |
25.692999999999998 |
|
| type |
value |
| ndcg_at_10 |
35.428 |
|
| type |
value |
| ndcg_at_100 |
40.375 |
|
| type |
value |
| ndcg_at_1000 |
42.802 |
|
| type |
value |
| ndcg_at_20 |
37.621 |
|
| type |
value |
| ndcg_at_3 |
30.476999999999997 |
|
| type |
value |
| ndcg_at_5 |
32.621 |
|
| type |
value |
| precision_at_1 |
25.692999999999998 |
|
| type |
value |
| precision_at_10 |
5.508 |
|
| type |
value |
| precision_at_100 |
0.848 |
|
| type |
value |
| precision_at_1000 |
0.116 |
|
| type |
value |
| precision_at_20 |
3.272 |
|
| type |
value |
| precision_at_3 |
12.631 |
|
| type |
value |
| precision_at_5 |
8.872 |
|
| type |
value |
| recall_at_1 |
23.666 |
|
| type |
value |
| recall_at_10 |
47.532000000000004 |
|
| type |
value |
| recall_at_100 |
69.73700000000001 |
|
| type |
value |
| recall_at_1000 |
87.83800000000001 |
|
| type |
value |
| recall_at_20 |
55.61000000000001 |
|
| type |
value |
| recall_at_3 |
34.06 |
|
| type |
value |
| recall_at_5 |
39.254 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB ClimateFEVER |
default |
test |
47f2ac6acb640fc46020b02a5b59fdda04d39380 |
|
| type |
value |
| map_at_1 |
16.337 |
|
| type |
value |
| map_at_10 |
26.488 |
|
| type |
value |
| map_at_100 |
28.415000000000003 |
|
| type |
value |
| map_at_1000 |
28.584 |
|
| type |
value |
| map_at_20 |
27.557 |
|
| type |
value |
| map_at_3 |
22.665 |
|
| type |
value |
| map_at_5 |
24.542 |
|
| type |
value |
| mrr_at_1 |
36.417 |
|
| type |
value |
| mrr_at_10 |
48.001 |
|
| type |
value |
| mrr_at_100 |
48.784 |
|
| type |
value |
| mrr_at_1000 |
48.809000000000005 |
|
| type |
value |
| mrr_at_20 |
48.507 |
|
| type |
value |
| mrr_at_3 |
45.103 |
|
| type |
value |
| mrr_at_5 |
46.843 |
|
| type |
value |
| ndcg_at_1 |
36.417 |
|
| type |
value |
| ndcg_at_10 |
35.67 |
|
| type |
value |
| ndcg_at_100 |
42.716 |
|
| type |
value |
| ndcg_at_1000 |
45.639 |
|
| type |
value |
| ndcg_at_20 |
38.471 |
|
| type |
value |
| ndcg_at_3 |
30.444 |
|
| type |
value |
| ndcg_at_5 |
32.004 |
|
| type |
value |
| precision_at_1 |
36.417 |
|
| type |
value |
| precision_at_10 |
10.73 |
|
| type |
value |
| precision_at_100 |
1.833 |
|
| type |
value |
| precision_at_1000 |
0.23800000000000002 |
|
| type |
value |
| precision_at_20 |
6.596 |
|
| type |
value |
| precision_at_3 |
22.302 |
|
| type |
value |
| precision_at_5 |
16.521 |
|
| type |
value |
| recall_at_1 |
16.337 |
|
| type |
value |
| recall_at_10 |
40.671 |
|
| type |
value |
| recall_at_100 |
64.55300000000001 |
|
| type |
value |
| recall_at_1000 |
80.934 |
|
| type |
value |
| recall_at_20 |
48.381 |
|
| type |
value |
| recall_at_3 |
27.279999999999998 |
|
| type |
value |
| recall_at_5 |
32.621 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB DBPedia |
default |
test |
c0f706b76e590d620bd6618b3ca8efdd34e2d659 |
|
| type |
value |
| map_at_1 |
9.056000000000001 |
|
| type |
value |
| map_at_10 |
19.419 |
|
| type |
value |
| map_at_100 |
27.069 |
|
| type |
value |
| map_at_1000 |
28.666000000000004 |
|
| type |
value |
| map_at_20 |
22.434 |
|
| type |
value |
| map_at_3 |
13.895 |
|
| type |
value |
| map_at_5 |
16.121 |
|
|
|
| type |
value |
| mrr_at_10 |
75.804 |
|
| type |
value |
| mrr_at_100 |
76.117 |
|
| type |
value |
| mrr_at_1000 |
76.125 |
|
| type |
value |
| mrr_at_20 |
76.009 |
|
| type |
value |
| mrr_at_3 |
74.375 |
|
|
|
| type |
value |
| ndcg_at_1 |
57.49999999999999 |
|
| type |
value |
| ndcg_at_10 |
41.495 |
|
| type |
value |
| ndcg_at_100 |
45.208 |
|
| type |
value |
| ndcg_at_1000 |
52.221 |
|
| type |
value |
| ndcg_at_20 |
40.617999999999995 |
|
| type |
value |
| ndcg_at_3 |
46.592 |
|
| type |
value |
| ndcg_at_5 |
43.559 |
|
| type |
value |
| precision_at_1 |
69.0 |
|
| type |
value |
| precision_at_10 |
32.574999999999996 |
|
| type |
value |
| precision_at_100 |
10.205 |
|
| type |
value |
| precision_at_1000 |
2.036 |
|
| type |
value |
| precision_at_20 |
24.687 |
|
| type |
value |
| precision_at_3 |
49.75 |
|
| type |
value |
| precision_at_5 |
42.0 |
|
| type |
value |
| recall_at_1 |
9.056000000000001 |
|
| type |
value |
| recall_at_10 |
24.866 |
|
| type |
value |
| recall_at_100 |
50.097 |
|
| type |
value |
| recall_at_1000 |
72.038 |
|
| type |
value |
| recall_at_20 |
31.858999999999998 |
|
| type |
value |
| recall_at_3 |
15.096000000000002 |
|
| type |
value |
| recall_at_5 |
18.548000000000002 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB EmotionClassification |
default |
test |
4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
| type |
value |
| accuracy |
48.259999999999984 |
|
| type |
value |
| f1 |
43.1498589523159 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB FEVER |
default |
test |
bea83ef9e8fb933d90a2f1d5515737465d613e12 |
|
| type |
value |
| map_at_1 |
74.798 |
|
| type |
value |
| map_at_10 |
83.454 |
|
| type |
value |
| map_at_100 |
83.623 |
|
| type |
value |
| map_at_1000 |
83.635 |
|
| type |
value |
| map_at_20 |
83.55 |
|
| type |
value |
| map_at_3 |
82.392 |
|
| type |
value |
| map_at_5 |
83.167 |
|
| type |
value |
| mrr_at_1 |
80.708 |
|
| type |
value |
| mrr_at_10 |
88.377 |
|
| type |
value |
| mrr_at_100 |
88.411 |
|
| type |
value |
| mrr_at_1000 |
88.411 |
|
| type |
value |
| mrr_at_20 |
88.402 |
|
| type |
value |
| mrr_at_3 |
87.646 |
|
| type |
value |
| mrr_at_5 |
88.232 |
|
| type |
value |
| ndcg_at_1 |
80.708 |
|
| type |
value |
| ndcg_at_10 |
87.35199999999999 |
|
| type |
value |
| ndcg_at_100 |
87.91600000000001 |
|
| type |
value |
| ndcg_at_1000 |
88.12299999999999 |
|
| type |
value |
| ndcg_at_20 |
87.593 |
|
| type |
value |
| ndcg_at_3 |
85.738 |
|
| type |
value |
| ndcg_at_5 |
86.845 |
|
| type |
value |
| precision_at_1 |
80.708 |
|
| type |
value |
| precision_at_10 |
10.432 |
|
| type |
value |
| precision_at_100 |
1.091 |
|
| type |
value |
| precision_at_1000 |
0.11299999999999999 |
|
| type |
value |
| precision_at_20 |
5.296 |
|
| type |
value |
| precision_at_3 |
32.778 |
|
| type |
value |
| precision_at_5 |
20.399 |
|
| type |
value |
| recall_at_1 |
74.798 |
|
| type |
value |
| recall_at_10 |
94.459 |
|
| type |
value |
| recall_at_100 |
96.614 |
|
| type |
value |
| recall_at_1000 |
97.868 |
|
| type |
value |
| recall_at_20 |
95.254 |
|
| type |
value |
| recall_at_3 |
90.144 |
|
| type |
value |
| recall_at_5 |
92.965 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB FiQA2018 |
default |
test |
27a168819829fe9bcd655c2df245fb19452e8e06 |
|
| type |
value |
| map_at_1 |
20.008 |
|
| type |
value |
| map_at_10 |
32.731 |
|
| type |
value |
| map_at_100 |
34.467999999999996 |
|
| type |
value |
| map_at_1000 |
34.643 |
|
| type |
value |
| map_at_20 |
33.717000000000006 |
|
| type |
value |
| map_at_3 |
28.427999999999997 |
|
| type |
value |
| map_at_5 |
30.788 |
|
| type |
value |
| mrr_at_1 |
40.586 |
|
| type |
value |
| mrr_at_10 |
49.056 |
|
| type |
value |
| mrr_at_100 |
49.887 |
|
| type |
value |
| mrr_at_1000 |
49.929 |
|
| type |
value |
| mrr_at_20 |
49.552 |
|
| type |
value |
| mrr_at_3 |
46.785 |
|
| type |
value |
| mrr_at_5 |
48.004000000000005 |
|
| type |
value |
| ndcg_at_1 |
40.586 |
|
| type |
value |
| ndcg_at_10 |
40.589999999999996 |
|
| type |
value |
| ndcg_at_100 |
47.03 |
|
| type |
value |
| ndcg_at_1000 |
49.994 |
|
| type |
value |
| ndcg_at_20 |
43.229 |
|
| type |
value |
| ndcg_at_3 |
37.061 |
|
| type |
value |
| ndcg_at_5 |
37.992 |
|
| type |
value |
| precision_at_1 |
40.586 |
|
| type |
value |
| precision_at_10 |
11.219 |
|
| type |
value |
| precision_at_100 |
1.781 |
|
| type |
value |
| precision_at_1000 |
0.232 |
|
| type |
value |
| precision_at_20 |
6.705 |
|
| type |
value |
| precision_at_3 |
24.743000000000002 |
|
| type |
value |
| precision_at_5 |
18.086 |
|
| type |
value |
| recall_at_1 |
20.008 |
|
| type |
value |
| recall_at_10 |
47.412 |
|
| type |
value |
| recall_at_100 |
71.274 |
|
| type |
value |
| recall_at_1000 |
88.898 |
|
| type |
value |
| recall_at_20 |
55.706999999999994 |
|
| type |
value |
| recall_at_3 |
33.346 |
|
| type |
value |
| recall_at_5 |
39.112 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB HotpotQA |
default |
test |
ab518f4d6fcca38d87c25209f94beba119d02014 |
|
| type |
value |
| map_at_1 |
41.789 |
|
| type |
value |
| map_at_10 |
57.898 |
|
| type |
value |
| map_at_100 |
58.632 |
|
| type |
value |
| map_at_1000 |
58.693 |
|
| type |
value |
| map_at_20 |
58.314 |
|
| type |
value |
| map_at_3 |
55.236 |
|
| type |
value |
| map_at_5 |
56.852999999999994 |
|
| type |
value |
| mrr_at_1 |
83.57900000000001 |
|
| type |
value |
| mrr_at_10 |
87.631 |
|
| type |
value |
| mrr_at_100 |
87.764 |
|
| type |
value |
| mrr_at_1000 |
87.77000000000001 |
|
| type |
value |
| mrr_at_20 |
87.70700000000001 |
|
| type |
value |
| mrr_at_3 |
87.02499999999999 |
|
| type |
value |
| mrr_at_5 |
87.34100000000001 |
|
| type |
value |
| ndcg_at_1 |
83.57900000000001 |
|
| type |
value |
| ndcg_at_10 |
67.11399999999999 |
|
| type |
value |
| ndcg_at_100 |
69.686 |
|
| type |
value |
| ndcg_at_1000 |
70.926 |
|
| type |
value |
| ndcg_at_20 |
68.119 |
|
| type |
value |
| ndcg_at_3 |
63.402 |
|
| type |
value |
| ndcg_at_5 |
65.354 |
|
| type |
value |
| precision_at_1 |
83.57900000000001 |
|
| type |
value |
| precision_at_10 |
13.333 |
|
| type |
value |
| precision_at_100 |
1.537 |
|
| type |
value |
| precision_at_1000 |
0.16999999999999998 |
|
| type |
value |
| precision_at_20 |
6.988999999999999 |
|
| type |
value |
| precision_at_3 |
38.929 |
|
| type |
value |
| precision_at_5 |
24.897 |
|
| type |
value |
| recall_at_1 |
41.789 |
|
| type |
value |
| recall_at_10 |
66.664 |
|
| type |
value |
| recall_at_100 |
76.833 |
|
| type |
value |
| recall_at_1000 |
85.14500000000001 |
|
| type |
value |
| recall_at_20 |
69.892 |
|
| type |
value |
| recall_at_3 |
58.392999999999994 |
|
| type |
value |
| recall_at_5 |
62.242 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB ImdbClassification |
default |
test |
3d86128a09e091d6018b6d26cad27f2739fc2db7 |
|
| type |
value |
| accuracy |
86.6108 |
|
| type |
value |
| ap |
81.63890253106925 |
|
| type |
value |
| f1 |
86.54585789538082 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB MSMARCO |
default |
dev |
c5a29a104738b98a9e76336939199e264163d4a0 |
|
| type |
value |
| map_at_1 |
22.407 |
|
| type |
value |
| map_at_10 |
34.603 |
|
| type |
value |
| map_at_100 |
35.808 |
|
| type |
value |
| map_at_1000 |
35.855 |
|
| type |
value |
| map_at_20 |
35.368 |
|
| type |
value |
| map_at_3 |
30.764000000000003 |
|
| type |
value |
| map_at_5 |
32.964 |
|
| type |
value |
| mrr_at_1 |
23.009 |
|
| type |
value |
| mrr_at_10 |
35.136 |
|
| type |
value |
| mrr_at_100 |
36.284 |
|
| type |
value |
| mrr_at_1000 |
36.325 |
|
| type |
value |
| mrr_at_20 |
35.869 |
|
| type |
value |
| mrr_at_3 |
31.351000000000003 |
|
| type |
value |
| mrr_at_5 |
33.54 |
|
| type |
value |
| ndcg_at_1 |
23.009 |
|
| type |
value |
| ndcg_at_10 |
41.471999999999994 |
|
| type |
value |
| ndcg_at_100 |
47.211999999999996 |
|
| type |
value |
| ndcg_at_1000 |
48.361 |
|
| type |
value |
| ndcg_at_20 |
44.169000000000004 |
|
| type |
value |
| ndcg_at_3 |
33.646 |
|
| type |
value |
| ndcg_at_5 |
37.580000000000005 |
|
| type |
value |
| precision_at_1 |
23.009 |
|
| type |
value |
| precision_at_10 |
6.54 |
|
| type |
value |
| precision_at_100 |
0.941 |
|
| type |
value |
| precision_at_1000 |
0.104 |
|
| type |
value |
| precision_at_20 |
3.832 |
|
| type |
value |
| precision_at_3 |
14.283999999999999 |
|
| type |
value |
| precision_at_5 |
10.564 |
|
| type |
value |
| recall_at_1 |
22.407 |
|
| type |
value |
| recall_at_10 |
62.678999999999995 |
|
| type |
value |
| recall_at_100 |
89.09700000000001 |
|
| type |
value |
| recall_at_1000 |
97.822 |
|
| type |
value |
| recall_at_20 |
73.116 |
|
| type |
value |
| recall_at_3 |
41.4 |
|
| type |
value |
| recall_at_5 |
50.855 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB MTOPDomainClassification (en) |
en |
test |
d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
| type |
value |
| accuracy |
92.94573643410853 |
|
| type |
value |
| f1 |
92.73148878666994 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB MTOPIntentClassification (en) |
en |
test |
ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
| type |
value |
| accuracy |
77.86137710898313 |
|
| type |
value |
| f1 |
60.360562463738724 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB MassiveIntentClassification (en) |
en |
test |
31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
|
| type |
value |
| accuracy |
73.83322125084062 |
|
| type |
value |
| f1 |
71.61864304680206 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB MassiveScenarioClassification (en) |
en |
test |
7d571f92784cd94a019292a1f45445077d0ef634 |
|
| type |
value |
| accuracy |
77.50504371217215 |
|
| type |
value |
| f1 |
77.52039268347185 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB MedrxivClusteringP2P |
default |
test |
e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
| type |
value |
| v_measure |
34.346952648910225 |
|
| type |
value |
| v_measures |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
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| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
| 0.3246964225451952 |
| 0.33269208719245646 |
| 0.3355911472371345 |
| 0.32978655133380147 |
| 0.3275090874657499 |
| 0.3752583186941529 |
| 0.3494711327267592 |
| 0.36636134409497156 |
| 0.3538734420417993 |
| 0.3394557315590024 |
|
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB MedrxivClusteringS2S |
default |
test |
35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
| type |
value |
| v_measure |
32.19992734583148 |
|
| type |
value |
| v_measures |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
| 0.31564501718268645 |
| 0.34772968477866795 |
| 0.32522623268021805 |
| 0.3410158265159116 |
| 0.33581770403870503 |
| 0.31539111636001027 |
| 0.31100967211136193 |
| 0.31302897733611235 |
| 0.3126922134381441 |
| 0.30243629014133017 |
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|
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB MindSmallReranking |
default |
test |
3bdac13927fdc888b903db93b2ffdbd90b295a69 |
|
| type |
value |
| map |
30.62309561205373 |
|
| type |
value |
| mrr |
31.707879717902554 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB NFCorpus |
default |
test |
ec0fa4fe99da2ff19ca1214b7966684033a58814 |
|
| type |
value |
| map_at_1 |
5.668 |
|
| type |
value |
| map_at_10 |
12.225999999999999 |
|
| type |
value |
| map_at_100 |
15.122 |
|
| type |
value |
| map_at_1000 |
16.422 |
|
| type |
value |
| map_at_20 |
13.361999999999998 |
|
| type |
value |
| map_at_3 |
9.083 |
|
|
|
| type |
value |
| mrr_at_1 |
46.44 |
|
| type |
value |
| mrr_at_10 |
53.553 |
|
| type |
value |
| mrr_at_100 |
54.15 |
|
| type |
value |
| mrr_at_1000 |
54.193000000000005 |
|
| type |
value |
| mrr_at_20 |
53.837 |
|
| type |
value |
| mrr_at_3 |
51.702999999999996 |
|
| type |
value |
| mrr_at_5 |
52.647 |
|
| type |
value |
| ndcg_at_1 |
44.272 |
|
| type |
value |
| ndcg_at_10 |
33.395 |
|
| type |
value |
| ndcg_at_100 |
29.976999999999997 |
|
| type |
value |
| ndcg_at_1000 |
38.388 |
|
| type |
value |
| ndcg_at_20 |
30.606 |
|
| type |
value |
| ndcg_at_3 |
39.212 |
|
| type |
value |
| ndcg_at_5 |
36.611 |
|
| type |
value |
| precision_at_1 |
46.129999999999995 |
|
| type |
value |
| precision_at_10 |
24.334 |
|
| type |
value |
| precision_at_100 |
7.553999999999999 |
|
| type |
value |
| precision_at_1000 |
1.994 |
|
| type |
value |
| precision_at_20 |
17.678 |
|
| type |
value |
| precision_at_3 |
36.326 |
|
| type |
value |
| precision_at_5 |
31.330999999999996 |
|
| type |
value |
| recall_at_1 |
5.668 |
|
| type |
value |
| recall_at_10 |
15.837000000000002 |
|
| type |
value |
| recall_at_100 |
29.845 |
|
| type |
value |
| recall_at_1000 |
60.563 |
|
| type |
value |
| recall_at_20 |
18.587999999999997 |
|
| type |
value |
| recall_at_3 |
10.096 |
|
| type |
value |
| recall_at_5 |
12.261 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB NQ |
default |
test |
b774495ed302d8c44a3a7ea25c90dbce03968f31 |
|
| type |
value |
| map_at_1 |
39.335 |
|
| type |
value |
| map_at_10 |
54.932 |
|
| type |
value |
| map_at_100 |
55.742000000000004 |
|
| type |
value |
| map_at_1000 |
55.766000000000005 |
|
| type |
value |
| map_at_20 |
55.504 |
|
| type |
value |
| map_at_3 |
50.904 |
|
| type |
value |
| map_at_5 |
53.388999999999996 |
|
| type |
value |
| mrr_at_1 |
44.003 |
|
| type |
value |
| mrr_at_10 |
57.419 |
|
| type |
value |
| mrr_at_100 |
57.963 |
|
| type |
value |
| mrr_at_1000 |
57.981 |
|
| type |
value |
| mrr_at_20 |
57.80499999999999 |
|
| type |
value |
| mrr_at_3 |
54.30199999999999 |
|
| type |
value |
| mrr_at_5 |
56.257000000000005 |
|
| type |
value |
| ndcg_at_1 |
43.974999999999994 |
|
| type |
value |
| ndcg_at_10 |
62.153999999999996 |
|
| type |
value |
| ndcg_at_100 |
65.326 |
|
| type |
value |
| ndcg_at_1000 |
65.862 |
|
| type |
value |
| ndcg_at_20 |
63.922999999999995 |
|
| type |
value |
| ndcg_at_3 |
54.834 |
|
| type |
value |
| ndcg_at_5 |
58.857000000000006 |
|
| type |
value |
| precision_at_1 |
43.974999999999994 |
|
| type |
value |
| precision_at_10 |
9.722 |
|
| type |
value |
| precision_at_100 |
1.153 |
|
| type |
value |
| precision_at_1000 |
0.12 |
|
| type |
value |
| precision_at_20 |
5.3 |
|
| type |
value |
| precision_at_3 |
24.392 |
|
| type |
value |
| precision_at_5 |
16.993 |
|
| type |
value |
| recall_at_1 |
39.335 |
|
| type |
value |
| recall_at_10 |
81.501 |
|
| type |
value |
| recall_at_100 |
94.851 |
|
| type |
value |
| recall_at_1000 |
98.817 |
|
| type |
value |
| recall_at_20 |
87.968 |
|
| type |
value |
| recall_at_3 |
62.795 |
|
| type |
value |
| recall_at_5 |
71.985 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB QuoraRetrieval |
default |
test |
e4e08e0b7dbe3c8700f0daef558ff32256715259 |
|
| type |
value |
| map_at_1 |
71.222 |
|
| type |
value |
| map_at_10 |
85.193 |
|
| type |
value |
| map_at_100 |
85.802 |
|
| type |
value |
| map_at_1000 |
85.81800000000001 |
|
| type |
value |
| map_at_20 |
85.587 |
|
| type |
value |
| map_at_3 |
82.253 |
|
| type |
value |
| map_at_5 |
84.142 |
|
| type |
value |
| mrr_at_1 |
82.04 |
|
| type |
value |
| mrr_at_10 |
88.101 |
|
| type |
value |
| mrr_at_100 |
88.196 |
|
| type |
value |
| mrr_at_1000 |
88.196 |
|
| type |
value |
| mrr_at_20 |
88.175 |
|
| type |
value |
| mrr_at_3 |
87.145 |
|
| type |
value |
| mrr_at_5 |
87.825 |
|
| type |
value |
| ndcg_at_1 |
82.04 |
|
| type |
value |
| ndcg_at_10 |
88.849 |
|
| type |
value |
| ndcg_at_100 |
89.992 |
|
| type |
value |
| ndcg_at_1000 |
90.089 |
|
| type |
value |
| ndcg_at_20 |
89.468 |
|
| type |
value |
| ndcg_at_3 |
86.06899999999999 |
|
| type |
value |
| ndcg_at_5 |
87.669 |
|
| type |
value |
| precision_at_1 |
82.04 |
|
| type |
value |
| precision_at_10 |
13.447000000000001 |
|
| type |
value |
| precision_at_100 |
1.528 |
|
| type |
value |
| precision_at_1000 |
0.157 |
|
| type |
value |
| precision_at_20 |
7.116 |
|
| type |
value |
| precision_at_3 |
37.617 |
|
| type |
value |
| precision_at_5 |
24.776 |
|
| type |
value |
| recall_at_1 |
71.222 |
|
| type |
value |
| recall_at_10 |
95.73899999999999 |
|
| type |
value |
| recall_at_100 |
99.572 |
|
| type |
value |
| recall_at_1000 |
99.988 |
|
| type |
value |
| recall_at_20 |
97.725 |
|
| type |
value |
| recall_at_3 |
87.742 |
|
| type |
value |
| recall_at_5 |
92.23400000000001 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB RedditClustering |
default |
test |
24640382cdbf8abc73003fb0fa6d111a705499eb |
|
| type |
value |
| v_measure |
56.502005725283524 |
|
| type |
value |
| v_measures |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
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| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
| 0.5845673186673394 |
| 0.648423996059595 |
| 0.5081078446363154 |
| 0.577059582267051 |
| 0.5449838765447135 |
| 0.5255305026550916 |
| 0.6001776953894321 |
| 0.5075448301528861 |
| 0.5238448212279936 |
| 0.5329001795025329 |
| 0.5112306232092642 |
| 0.6002807353254037 |
| 0.5525285295615835 |
| 0.56281813563348 |
| 0.6722346506108504 |
| 0.5293879728430999 |
| 0.5972632642217942 |
| 0.6345018102197326 |
| 0.515945887049231 |
| 0.5291998092690363 |
| 0.5250323799432043 |
| 0.538426398169316 |
| 0.6954213901632498 |
| 0.580008522375662 |
| 0.5280806756230237 |
|
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB RedditClusteringP2P |
default |
test |
385e3cb46b4cfa89021f56c4380204149d0efe33 |
|
| type |
value |
| v_measure |
63.14989421688691 |
|
| type |
value |
| v_measures |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
| 0.673210410652684 |
| 0.6825035243902045 |
| 0.6275126414823813 |
| 0.40001836573261074 |
| 0.711458797825346 |
| 0.6212317163461291 |
| 0.4113635660304527 |
| 0.7394060043565659 |
| 0.6969073197749642 |
| 0.7513770750973534 |
|
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB SCIDOCS |
default |
test |
f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88 |
|
| type |
value |
| map_at_1 |
4.4830000000000005 |
|
| type |
value |
| map_at_10 |
11.04 |
|
| type |
value |
| map_at_100 |
12.764000000000001 |
|
| type |
value |
| map_at_1000 |
13.04 |
|
| type |
value |
| map_at_20 |
11.953 |
|
| type |
value |
| map_at_3 |
8.125 |
|
| type |
value |
| map_at_5 |
9.565999999999999 |
|
|
|
| type |
value |
| mrr_at_10 |
32.494 |
|
| type |
value |
| mrr_at_100 |
33.525 |
|
| type |
value |
| mrr_at_1000 |
33.596 |
|
| type |
value |
| mrr_at_20 |
33.089 |
|
| type |
value |
| mrr_at_3 |
29.416999999999998 |
|
| type |
value |
| mrr_at_5 |
31.267 |
|
| type |
value |
| ndcg_at_1 |
22.1 |
|
| type |
value |
| ndcg_at_10 |
18.587 |
|
| type |
value |
| ndcg_at_100 |
25.482 |
|
| type |
value |
| ndcg_at_1000 |
30.581999999999997 |
|
| type |
value |
| ndcg_at_20 |
21.077 |
|
| type |
value |
| ndcg_at_3 |
18.165 |
|
| type |
value |
| ndcg_at_5 |
15.676000000000002 |
|
| type |
value |
| precision_at_1 |
22.1 |
|
| type |
value |
| precision_at_10 |
9.48 |
|
| type |
value |
| precision_at_100 |
1.942 |
|
| type |
value |
| precision_at_1000 |
0.316 |
|
| type |
value |
| precision_at_20 |
6.175 |
|
| type |
value |
| precision_at_3 |
17.033 |
|
| type |
value |
| precision_at_5 |
13.719999999999999 |
|
| type |
value |
| recall_at_1 |
4.4830000000000005 |
|
| type |
value |
| recall_at_10 |
19.208 |
|
| type |
value |
| recall_at_100 |
39.417 |
|
| type |
value |
| recall_at_1000 |
64.235 |
|
| type |
value |
| recall_at_20 |
25.057000000000002 |
|
| type |
value |
| recall_at_3 |
10.348 |
|
| type |
value |
| recall_at_5 |
13.893 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB SICK-R |
default |
test |
20a6d6f312dd54037fe07a32d58e5e168867909d |
|
| type |
value |
| cos_sim_pearson |
83.50181312649208 |
|
| type |
value |
| cos_sim_spearman |
79.92900705478993 |
|
| type |
value |
| euclidean_pearson |
81.13482128094503 |
|
| type |
value |
| euclidean_spearman |
79.92732266864367 |
|
| type |
value |
| manhattan_pearson |
81.06702121654993 |
|
| type |
value |
| manhattan_spearman |
79.86983106619135 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB STS12 |
default |
test |
a0d554a64d88156834ff5ae9920b964011b16384 |
|
| type |
value |
| cos_sim_pearson |
83.85431681906961 |
|
| type |
value |
| cos_sim_spearman |
77.61671419416626 |
|
| type |
value |
| euclidean_pearson |
81.30538320520961 |
|
| type |
value |
| euclidean_spearman |
77.62096481461272 |
|
| type |
value |
| manhattan_pearson |
81.2306021173407 |
|
| type |
value |
| manhattan_spearman |
77.58386300715222 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB STS13 |
default |
test |
7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
| type |
value |
| cos_sim_pearson |
84.98057702322754 |
|
| type |
value |
| cos_sim_spearman |
86.13305071688859 |
|
| type |
value |
| euclidean_pearson |
85.70903555966376 |
|
| type |
value |
| euclidean_spearman |
86.13150222328171 |
|
| type |
value |
| manhattan_pearson |
85.69380834788831 |
|
| type |
value |
| manhattan_spearman |
86.10784739081191 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB STS14 |
default |
test |
6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
| type |
value |
| cos_sim_pearson |
83.43368314724589 |
|
| type |
value |
| cos_sim_spearman |
81.26767916144169 |
|
| type |
value |
| euclidean_pearson |
83.23234690932492 |
|
| type |
value |
| euclidean_spearman |
81.2671726214706 |
|
| type |
value |
| manhattan_pearson |
83.2381239261109 |
|
| type |
value |
| manhattan_spearman |
81.27674961470714 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB STS15 |
default |
test |
ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
| type |
value |
| cos_sim_pearson |
86.8637546411748 |
|
| type |
value |
| cos_sim_spearman |
88.25330888676139 |
|
| type |
value |
| euclidean_pearson |
87.81194589390417 |
|
| type |
value |
| euclidean_spearman |
88.25258669625579 |
|
| type |
value |
| manhattan_pearson |
87.8131866998459 |
|
| type |
value |
| manhattan_spearman |
88.26523268929576 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB STS16 |
default |
test |
4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
| type |
value |
| cos_sim_pearson |
83.83129743147286 |
|
| type |
value |
| cos_sim_spearman |
85.73732687732624 |
|
| type |
value |
| euclidean_pearson |
85.18051277328075 |
|
| type |
value |
| euclidean_spearman |
85.73565846174445 |
|
| type |
value |
| manhattan_pearson |
85.179029651079 |
|
| type |
value |
| manhattan_spearman |
85.75709685404729 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB STS17 (en-en) |
en-en |
test |
af5e6fb845001ecf41f4c1e033ce921939a2a68d |
|
| type |
value |
| cos_sim_pearson |
87.04715794253148 |
|
| type |
value |
| cos_sim_spearman |
87.61577496386343 |
|
| type |
value |
| euclidean_pearson |
88.34713614361046 |
|
| type |
value |
| euclidean_spearman |
87.56541901567275 |
|
| type |
value |
| manhattan_pearson |
88.26010824585985 |
|
| type |
value |
| manhattan_spearman |
87.35211736948182 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB STS22 (en) |
en |
test |
eea2b4fe26a775864c896887d910b76a8098ad3f |
|
| type |
value |
| cos_sim_pearson |
62.36160793264433 |
|
| type |
value |
| cos_sim_spearman |
66.07767480051893 |
|
| type |
value |
| euclidean_pearson |
66.4716471304865 |
|
| type |
value |
| euclidean_spearman |
66.03999286501872 |
|
| type |
value |
| manhattan_pearson |
66.46197824372902 |
|
| type |
value |
| manhattan_spearman |
65.82936468127227 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB STSBenchmark |
default |
test |
b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
| type |
value |
| cos_sim_pearson |
85.27768996785856 |
|
| type |
value |
| cos_sim_spearman |
86.96704639052885 |
|
| type |
value |
| euclidean_pearson |
86.48753189555983 |
|
| type |
value |
| euclidean_spearman |
86.96981285751171 |
|
| type |
value |
| manhattan_pearson |
86.49262465015401 |
|
| type |
value |
| manhattan_spearman |
86.95378609580054 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB SciDocsRR |
default |
test |
d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
|
| type |
value |
| map |
81.52012853393428 |
|
| type |
value |
| mrr |
94.70817671798063 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB SciFact |
default |
test |
0228b52cf27578f30900b9e5271d331663a030d7 |
|
| type |
value |
| map_at_1 |
55.344 |
|
| type |
value |
| map_at_10 |
64.82900000000001 |
|
| type |
value |
| map_at_100 |
65.42 |
|
| type |
value |
| map_at_1000 |
65.443 |
|
| type |
value |
| map_at_20 |
65.2 |
|
|
|
| type |
value |
| map_at_5 |
63.510999999999996 |
|
| type |
value |
| mrr_at_1 |
58.333 |
|
| type |
value |
| mrr_at_10 |
66.24600000000001 |
|
| type |
value |
| mrr_at_100 |
66.742 |
|
| type |
value |
| mrr_at_1000 |
66.762 |
|
| type |
value |
| mrr_at_20 |
66.549 |
|
| type |
value |
| mrr_at_3 |
64.056 |
|
| type |
value |
| mrr_at_5 |
65.372 |
|
| type |
value |
| ndcg_at_1 |
58.333 |
|
| type |
value |
| ndcg_at_10 |
69.626 |
|
| type |
value |
| ndcg_at_100 |
72.236 |
|
| type |
value |
| ndcg_at_1000 |
72.872 |
|
| type |
value |
| ndcg_at_20 |
70.864 |
|
| type |
value |
| ndcg_at_3 |
64.50399999999999 |
|
| type |
value |
| ndcg_at_5 |
67.07600000000001 |
|
| type |
value |
| precision_at_1 |
58.333 |
|
| type |
value |
| precision_at_10 |
9.4 |
|
| type |
value |
| precision_at_100 |
1.073 |
|
| type |
value |
| precision_at_1000 |
0.11299999999999999 |
|
| type |
value |
| precision_at_20 |
4.983 |
|
| type |
value |
| precision_at_3 |
25.222 |
|
| type |
value |
| precision_at_5 |
16.8 |
|
| type |
value |
| recall_at_1 |
55.344 |
|
| type |
value |
| recall_at_10 |
82.789 |
|
| type |
value |
| recall_at_100 |
94.6 |
|
| type |
value |
| recall_at_1000 |
99.667 |
|
| type |
value |
| recall_at_20 |
87.533 |
|
| type |
value |
| recall_at_3 |
69.18299999999999 |
|
| type |
value |
| recall_at_5 |
75.622 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB SprintDuplicateQuestions |
default |
test |
d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
| type |
value |
| cos_sim_accuracy |
99.69405940594059 |
|
| type |
value |
| cos_sim_ap |
92.03642221694545 |
|
| type |
value |
| cos_sim_f1 |
84.06395048994327 |
|
| type |
value |
| cos_sim_precision |
86.79446219382322 |
|
| type |
value |
| cos_sim_recall |
81.5 |
|
| type |
value |
| dot_accuracy |
99.6930693069307 |
|
| type |
value |
| dot_ap |
91.9971441434875 |
|
| type |
value |
| dot_f1 |
83.8006230529595 |
|
| type |
value |
| dot_precision |
87.14902807775377 |
|
| type |
value |
| dot_recall |
80.7 |
|
| type |
value |
| euclidean_accuracy |
99.69504950495049 |
|
| type |
value |
| euclidean_ap |
92.03626548389335 |
|
| type |
value |
| euclidean_f1 |
84.10732714138285 |
|
| type |
value |
| euclidean_precision |
86.88699360341151 |
|
| type |
value |
| euclidean_recall |
81.5 |
|
| type |
value |
| manhattan_accuracy |
99.69504950495049 |
|
| type |
value |
| manhattan_ap |
92.02049659660081 |
|
| type |
value |
| manhattan_f1 |
84.34959349593495 |
|
| type |
value |
| manhattan_precision |
85.74380165289256 |
|
| type |
value |
| manhattan_recall |
83.0 |
|
| type |
value |
| max_accuracy |
99.69504950495049 |
|
| type |
value |
| max_ap |
92.03642221694545 |
|
| type |
value |
| max_f1 |
84.34959349593495 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB StackExchangeClustering |
default |
test |
6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
| type |
value |
| v_measure |
67.04916654680977 |
|
| type |
value |
| v_measures |
| 0.707614120277991 |
| 0.694974842783697 |
| 0.5756359888519659 |
| 0.6964499615297283 |
| 0.6547764033608466 |
| 0.6448470247319567 |
| 0.6263766967145058 |
| 0.7139286894225703 |
| 0.6737195749489034 |
| 0.6824504575459811 |
| 0.7667603743275774 |
| 0.7595788549615426 |
| 0.7086156082505461 |
| 0.6624140136843005 |
| 0.6136884209896801 |
| 0.6717953455355791 |
| 0.6494834308652331 |
| 0.6507885275711466 |
| 0.6382769468968572 |
| 0.6556052416453325 |
| 0.6700496626301571 |
| 0.6424264693175464 |
| 0.6400679099051025 |
| 0.7118398877792876 |
| 0.6501271821744096 |
| 0.707614120277991 |
| 0.694974842783697 |
| 0.5756359888519659 |
| 0.6964499615297283 |
| 0.6547764033608466 |
| 0.6448470247319567 |
| 0.6263766967145058 |
| 0.7139286894225703 |
| 0.6737195749489034 |
| 0.6824504575459811 |
| 0.7667603743275774 |
| 0.7595788549615426 |
| 0.7086156082505461 |
| 0.6624140136843005 |
| 0.6136884209896801 |
| 0.6717953455355791 |
| 0.6494834308652331 |
| 0.6507885275711466 |
| 0.6382769468968572 |
| 0.6556052416453325 |
| 0.6700496626301571 |
| 0.6424264693175464 |
| 0.6400679099051025 |
| 0.7118398877792876 |
| 0.6501271821744096 |
| 0.707614120277991 |
| 0.694974842783697 |
| 0.5756359888519659 |
| 0.6964499615297283 |
| 0.6547764033608466 |
| 0.6448470247319567 |
| 0.6263766967145058 |
| 0.7139286894225703 |
| 0.6737195749489034 |
| 0.6824504575459811 |
| 0.7667603743275774 |
| 0.7595788549615426 |
| 0.7086156082505461 |
| 0.6624140136843005 |
| 0.6136884209896801 |
| 0.6717953455355791 |
| 0.6494834308652331 |
| 0.6507885275711466 |
| 0.6382769468968572 |
| 0.6556052416453325 |
| 0.6700496626301571 |
| 0.6424264693175464 |
| 0.6400679099051025 |
| 0.7118398877792876 |
| 0.6501271821744096 |
| 0.707614120277991 |
| 0.694974842783697 |
| 0.5756359888519659 |
| 0.6964499615297283 |
| 0.6547764033608466 |
| 0.6448470247319567 |
| 0.6263766967145058 |
| 0.7139286894225703 |
| 0.6737195749489034 |
| 0.6824504575459811 |
| 0.7667603743275774 |
| 0.7595788549615426 |
| 0.7086156082505461 |
| 0.6624140136843005 |
| 0.6136884209896801 |
| 0.6717953455355791 |
| 0.6494834308652331 |
| 0.6507885275711466 |
| 0.6382769468968572 |
| 0.6556052416453325 |
| 0.6700496626301571 |
| 0.6424264693175464 |
| 0.6400679099051025 |
| 0.7118398877792876 |
| 0.6501271821744096 |
| 0.707614120277991 |
| 0.694974842783697 |
| 0.5756359888519659 |
| 0.6964499615297283 |
| 0.6547764033608466 |
| 0.6448470247319567 |
| 0.6263766967145058 |
| 0.7139286894225703 |
| 0.6737195749489034 |
| 0.6824504575459811 |
| 0.7667603743275774 |
| 0.7595788549615426 |
| 0.7086156082505461 |
| 0.6624140136843005 |
| 0.6136884209896801 |
| 0.6717953455355791 |
| 0.6494834308652331 |
| 0.6507885275711466 |
| 0.6382769468968572 |
| 0.6556052416453325 |
| 0.6700496626301571 |
| 0.6424264693175464 |
| 0.6400679099051025 |
| 0.7118398877792876 |
| 0.6501271821744096 |
| 0.707614120277991 |
| 0.694974842783697 |
| 0.5756359888519659 |
| 0.6964499615297283 |
| 0.6547764033608466 |
| 0.6448470247319567 |
| 0.6263766967145058 |
| 0.7139286894225703 |
| 0.6737195749489034 |
| 0.6824504575459811 |
| 0.7667603743275774 |
| 0.7595788549615426 |
| 0.7086156082505461 |
| 0.6624140136843005 |
| 0.6136884209896801 |
| 0.6717953455355791 |
| 0.6494834308652331 |
| 0.6507885275711466 |
| 0.6382769468968572 |
| 0.6556052416453325 |
| 0.6700496626301571 |
| 0.6424264693175464 |
| 0.6400679099051025 |
| 0.7118398877792876 |
| 0.6501271821744096 |
| 0.707614120277991 |
| 0.694974842783697 |
| 0.5756359888519659 |
| 0.6964499615297283 |
| 0.6547764033608466 |
| 0.6448470247319567 |
| 0.6263766967145058 |
| 0.7139286894225703 |
| 0.6737195749489034 |
| 0.6824504575459811 |
| 0.7667603743275774 |
| 0.7595788549615426 |
| 0.7086156082505461 |
| 0.6624140136843005 |
| 0.6136884209896801 |
| 0.6717953455355791 |
| 0.6494834308652331 |
| 0.6507885275711466 |
| 0.6382769468968572 |
| 0.6556052416453325 |
| 0.6700496626301571 |
| 0.6424264693175464 |
| 0.6400679099051025 |
| 0.7118398877792876 |
| 0.6501271821744096 |
| 0.707614120277991 |
| 0.694974842783697 |
| 0.5756359888519659 |
| 0.6964499615297283 |
| 0.6547764033608466 |
| 0.6448470247319567 |
| 0.6263766967145058 |
| 0.7139286894225703 |
| 0.6737195749489034 |
| 0.6824504575459811 |
| 0.7667603743275774 |
| 0.7595788549615426 |
| 0.7086156082505461 |
| 0.6624140136843005 |
| 0.6136884209896801 |
| 0.6717953455355791 |
| 0.6494834308652331 |
| 0.6507885275711466 |
| 0.6382769468968572 |
| 0.6556052416453325 |
| 0.6700496626301571 |
| 0.6424264693175464 |
| 0.6400679099051025 |
| 0.7118398877792876 |
| 0.6501271821744096 |
| 0.707614120277991 |
| 0.694974842783697 |
| 0.5756359888519659 |
| 0.6964499615297283 |
| 0.6547764033608466 |
| 0.6448470247319567 |
| 0.6263766967145058 |
| 0.7139286894225703 |
| 0.6737195749489034 |
| 0.6824504575459811 |
| 0.7667603743275774 |
| 0.7595788549615426 |
| 0.7086156082505461 |
| 0.6624140136843005 |
| 0.6136884209896801 |
| 0.6717953455355791 |
| 0.6494834308652331 |
| 0.6507885275711466 |
| 0.6382769468968572 |
| 0.6556052416453325 |
| 0.6700496626301571 |
| 0.6424264693175464 |
| 0.6400679099051025 |
| 0.7118398877792876 |
| 0.6501271821744096 |
| 0.707614120277991 |
| 0.694974842783697 |
| 0.5756359888519659 |
| 0.6964499615297283 |
| 0.6547764033608466 |
| 0.6448470247319567 |
| 0.6263766967145058 |
| 0.7139286894225703 |
| 0.6737195749489034 |
| 0.6824504575459811 |
| 0.7667603743275774 |
| 0.7595788549615426 |
| 0.7086156082505461 |
| 0.6624140136843005 |
| 0.6136884209896801 |
| 0.6717953455355791 |
| 0.6494834308652331 |
| 0.6507885275711466 |
| 0.6382769468968572 |
| 0.6556052416453325 |
| 0.6700496626301571 |
| 0.6424264693175464 |
| 0.6400679099051025 |
| 0.7118398877792876 |
| 0.6501271821744096 |
| 0.707614120277991 |
| 0.694974842783697 |
| 0.5756359888519659 |
| 0.6964499615297283 |
| 0.6547764033608466 |
| 0.6448470247319567 |
| 0.6263766967145058 |
| 0.7139286894225703 |
| 0.6737195749489034 |
| 0.6824504575459811 |
| 0.7667603743275774 |
| 0.7595788549615426 |
| 0.7086156082505461 |
| 0.6624140136843005 |
| 0.6136884209896801 |
| 0.6717953455355791 |
| 0.6494834308652331 |
| 0.6507885275711466 |
| 0.6382769468968572 |
| 0.6556052416453325 |
| 0.6700496626301571 |
| 0.6424264693175464 |
| 0.6400679099051025 |
| 0.7118398877792876 |
| 0.6501271821744096 |
| 0.707614120277991 |
| 0.694974842783697 |
| 0.5756359888519659 |
| 0.6964499615297283 |
| 0.6547764033608466 |
| 0.6448470247319567 |
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| 0.7118398877792876 |
| 0.6501271821744096 |
|
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB StackExchangeClusteringP2P |
default |
test |
815ca46b2622cec33ccafc3735d572c266efdb44 |
|
| type |
value |
| v_measure |
33.36641413495258 |
|
| type |
value |
| v_measures |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
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| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
| 0.3245963448931168 |
| 0.31882294716748927 |
| 0.31975204745764507 |
| 0.30752650651575314 |
| 0.3191185767616115 |
| 0.35880812225202774 |
| 0.3427515820677152 |
| 0.344097881083346 |
| 0.35390675395072985 |
| 0.3472606513458235 |
|
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB StackOverflowDupQuestions |
default |
test |
e185fbe320c72810689fc5848eb6114e1ef5ec69 |
|
| type |
value |
| map |
51.19282080158746 |
|
| type |
value |
| mrr |
51.871100713012474 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB SummEval |
default |
test |
cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
|
| type |
value |
| cos_sim_pearson |
31.437664703708485 |
|
| type |
value |
| cos_sim_spearman |
31.391119208581575 |
|
| type |
value |
| dot_pearson |
31.19925970504054 |
|
| type |
value |
| dot_spearman |
31.38087224016694 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB TRECCOVID |
default |
test |
bb9466bac8153a0349341eb1b22e06409e78ef4e |
|
| type |
value |
| map_at_1 |
0.249 |
|
| type |
value |
| map_at_10 |
2.163 |
|
| type |
value |
| map_at_100 |
13.242999999999999 |
|
| type |
value |
| map_at_1000 |
30.866 |
|
| type |
value |
| map_at_20 |
3.9539999999999997 |
|
| type |
value |
| map_at_3 |
0.718 |
|
| type |
value |
| map_at_5 |
1.169 |
|
|
|
| type |
value |
| mrr_at_10 |
98.0 |
|
| type |
value |
| mrr_at_100 |
98.0 |
|
| type |
value |
| mrr_at_1000 |
98.0 |
|
| type |
value |
| mrr_at_20 |
98.0 |
|
|
|
|
|
| type |
value |
| ndcg_at_1 |
92.0 |
|
| type |
value |
| ndcg_at_10 |
84.147 |
|
| type |
value |
| ndcg_at_100 |
65.143 |
|
| type |
value |
| ndcg_at_1000 |
56.038 |
|
| type |
value |
| ndcg_at_20 |
80.869 |
|
| type |
value |
| ndcg_at_3 |
89.11200000000001 |
|
| type |
value |
| ndcg_at_5 |
87.199 |
|
| type |
value |
| precision_at_1 |
96.0 |
|
| type |
value |
| precision_at_10 |
87.8 |
|
| type |
value |
| precision_at_100 |
66.72 |
|
| type |
value |
| precision_at_1000 |
24.684 |
|
| type |
value |
| precision_at_20 |
84.3 |
|
| type |
value |
| precision_at_3 |
94.0 |
|
| type |
value |
| precision_at_5 |
91.2 |
|
| type |
value |
| recall_at_1 |
0.249 |
|
| type |
value |
| recall_at_10 |
2.284 |
|
| type |
value |
| recall_at_100 |
16.025 |
|
| type |
value |
| recall_at_1000 |
52.068999999999996 |
|
| type |
value |
| recall_at_20 |
4.3180000000000005 |
|
| type |
value |
| recall_at_3 |
0.738 |
|
| type |
value |
| recall_at_5 |
1.212 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB Touche2020 |
default |
test |
a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f |
|
| type |
value |
| map_at_1 |
3.4520000000000004 |
|
| type |
value |
| map_at_10 |
13.045000000000002 |
|
| type |
value |
| map_at_100 |
19.442 |
|
| type |
value |
| map_at_1000 |
21.09 |
|
| type |
value |
| map_at_20 |
15.667 |
|
| type |
value |
| map_at_3 |
7.409000000000001 |
|
|
|
| type |
value |
| mrr_at_1 |
46.939 |
|
| type |
value |
| mrr_at_10 |
60.295 |
|
| type |
value |
| mrr_at_100 |
60.904 |
|
| type |
value |
| mrr_at_1000 |
60.919000000000004 |
|
| type |
value |
| mrr_at_20 |
60.77 |
|
| type |
value |
| mrr_at_3 |
58.50300000000001 |
|
| type |
value |
| mrr_at_5 |
59.014 |
|
| type |
value |
| ndcg_at_1 |
44.897999999999996 |
|
| type |
value |
| ndcg_at_10 |
31.911 |
|
| type |
value |
| ndcg_at_100 |
41.945 |
|
| type |
value |
| ndcg_at_1000 |
53.181999999999995 |
|
| type |
value |
| ndcg_at_20 |
31.505 |
|
| type |
value |
| ndcg_at_3 |
39.745000000000005 |
|
| type |
value |
| ndcg_at_5 |
35.528999999999996 |
|
| type |
value |
| precision_at_1 |
46.939 |
|
| type |
value |
| precision_at_10 |
26.531 |
|
| type |
value |
| precision_at_100 |
8.163 |
|
| type |
value |
| precision_at_1000 |
1.559 |
|
| type |
value |
| precision_at_20 |
19.387999999999998 |
|
| type |
value |
| precision_at_3 |
40.136 |
|
| type |
value |
| precision_at_5 |
33.878 |
|
| type |
value |
| recall_at_1 |
3.4520000000000004 |
|
| type |
value |
| recall_at_10 |
18.899 |
|
| type |
value |
| recall_at_100 |
50.207 |
|
| type |
value |
| recall_at_1000 |
83.871 |
|
| type |
value |
| recall_at_20 |
26.756999999999998 |
|
| type |
value |
| recall_at_3 |
8.729000000000001 |
|
| type |
value |
| recall_at_5 |
12.084999999999999 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB ToxicConversationsClassification |
default |
test |
edfaf9da55d3dd50d43143d90c1ac476895ae6de |
|
| type |
value |
| accuracy |
67.4560546875 |
|
| type |
value |
| ap |
12.720403845355294 |
|
| type |
value |
| f1 |
51.76062666567839 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB TweetSentimentExtractionClassification |
default |
test |
d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
| type |
value |
| accuracy |
62.36276174306734 |
|
| type |
value |
| f1 |
62.69956906934332 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB TwentyNewsgroupsClustering |
default |
test |
6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
| type |
value |
| v_measure |
49.473492910233965 |
|
| type |
value |
| v_measures |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
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| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
| 0.48829262296803855 |
| 0.49853262011854643 |
| 0.48457750518082765 |
| 0.5020774116970983 |
| 0.5001897357021557 |
| 0.4702417082210781 |
| 0.4763216048226018 |
| 0.49932879417585735 |
| 0.5129628835129124 |
| 0.514824404624281 |
|
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB TwitterSemEval2015 |
default |
test |
70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
| type |
value |
| cos_sim_accuracy |
85.75430649102938 |
|
| type |
value |
| cos_sim_ap |
73.62842656477649 |
|
| type |
value |
| cos_sim_f1 |
67.76023680315738 |
|
| type |
value |
| cos_sim_precision |
63.61741547012506 |
|
| type |
value |
| cos_sim_recall |
72.4802110817942 |
|
| type |
value |
| dot_accuracy |
85.7423854085951 |
|
| type |
value |
| dot_ap |
73.59147637253723 |
|
| type |
value |
| dot_f1 |
67.69498693867396 |
|
| type |
value |
| dot_precision |
64.03859731701577 |
|
| type |
value |
| dot_recall |
71.79419525065963 |
|
| type |
value |
| euclidean_accuracy |
85.7423854085951 |
|
| type |
value |
| euclidean_ap |
73.6288990409654 |
|
| type |
value |
| euclidean_f1 |
67.80415430267064 |
|
| type |
value |
| euclidean_precision |
63.79711493718009 |
|
| type |
value |
| euclidean_recall |
72.34828496042216 |
|
| type |
value |
| manhattan_accuracy |
85.69470107885796 |
|
| type |
value |
| manhattan_ap |
73.49219614602531 |
|
| type |
value |
| manhattan_f1 |
67.60809797550613 |
|
| type |
value |
| manhattan_precision |
64.22127255460589 |
|
| type |
value |
| manhattan_recall |
71.37203166226914 |
|
| type |
value |
| max_accuracy |
85.75430649102938 |
|
| type |
value |
| max_ap |
73.6288990409654 |
|
| type |
value |
| max_f1 |
67.80415430267064 |
|
|
|
| task |
dataset |
metrics |
|
|
| type |
name |
config |
split |
revision |
| None |
MTEB TwitterURLCorpus |
default |
test |
8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
| type |
value |
| cos_sim_accuracy |
89.08293553770326 |
|
| type |
value |
| cos_sim_ap |
86.21246419992926 |
|
| type |
value |
| cos_sim_f1 |
78.49922526377924 |
|
| type |
value |
| cos_sim_precision |
75.35769939084857 |
|
| type |
value |
| cos_sim_recall |
81.9140745303357 |
|
| type |
value |
| dot_accuracy |
89.08681647067955 |
|
| type |
value |
| dot_ap |
86.19733517196862 |
|
| type |
value |
| dot_f1 |
78.51132446157838 |
|
| type |
value |
| dot_precision |
75.70233755093287 |
|
| type |
value |
| dot_recall |
81.53680320295658 |
|
| type |
value |
| euclidean_accuracy |
89.07517367175069 |
|
| type |
value |
| euclidean_ap |
86.21198725320203 |
|
| type |
value |
| euclidean_f1 |
78.49867139061116 |
|
| type |
value |
| euclidean_precision |
75.38276155372839 |
|
| type |
value |
| euclidean_recall |
81.88327687095781 |
|
| type |
value |
| manhattan_accuracy |
89.0538285403811 |
|
| type |
value |
| manhattan_ap |
86.17785515765131 |
|
| type |
value |
| manhattan_f1 |
78.48184098593084 |
|
| type |
value |
| manhattan_precision |
74.34396308285694 |
|
| type |
value |
| manhattan_recall |
83.10748383122882 |
|
| type |
value |
| max_accuracy |
89.08681647067955 |
|
| type |
value |
| max_ap |
86.21246419992926 |
|
| type |
value |
| max_f1 |
78.51132446157838 |
|
|
|
|
|
|
apache-2.0 |
|
| answerdotai/ModernBERT-base |
| nomic-ai/modernbert-embed-unsupervised |
|
ModernBERT Embed
ModernBERT Embed is an embedding model trained from ModernBERT-base, bringing the new advances of ModernBERT to embeddings!
Trained on the Nomic Embed weakly-supervised and supervised datasets, modernbert-embed also supports Matryoshka Representation Learning dimensions of 256, reducing memory by 3x with minimal performance loss.
Performance
| Model |
Dimensions |
Average (56) |
Classification (12) |
Clustering (11) |
Pair Classification (3) |
Reranking (4) |
Retrieval (15) |
STS (10) |
Summarization (1) |
| nomic-embed-text-v1 |
768 |
62.4 |
74.1 |
43.9 |
85.2 |
55.7 |
52.8 |
82.1 |
30.1 |
| nomic-embed-text-v1.5 |
768 |
62.28 |
73.55 |
43.93 |
84.61 |
55.78 |
53.01 |
81.94 |
30.4 |
| modernbert-embed-base |
768 |
62.62 |
74.31 |
44.98 |
83.96 |
56.42 |
52.89 |
81.78 |
31.39 |
| nomic-embed-text-v1.5 |
256 |
61.04 |
72.1 |
43.16 |
84.09 |
55.18 |
50.81 |
81.34 |
30.05 |
| modernbert-embed-base |
256 |
61.17 |
72.40 |
43.82 |
83.45 |
55.69 |
50.62 |
81.12 |
31.27 |
Usage
You can use these models directly with the transformers library. Until the next transformers release, doing so requires installing transformers from main:
pip install git+https://github.com/huggingface/transformers.git
Reminder, this model is trained similarly to Nomic Embed and REQUIRES prefixes to be added to the input. For more information, see the instructions in Nomic Embed.
Most use cases, adding search_query: to the query and search_document: to the documents will be sufficient.
Sentence Transformers
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("nomic-ai/modernbert-embed-base")
query_embeddings = model.encode([
"search_query: What is TSNE?",
"search_query: Who is Laurens van der Maaten?",
])
doc_embeddings = model.encode([
"search_document: TSNE is a dimensionality reduction algorithm created by Laurens van Der Maaten",
])
print(query_embeddings.shape, doc_embeddings.shape)
# (2, 768) (1, 768)
similarities = model.similarity(query_embeddings, doc_embeddings)
print(similarities)
# tensor([[0.7214],
# [0.3260]])
Click to see Sentence Transformers usage with Matryoshka Truncation
In Sentence Transformers, you can truncate embeddings to a smaller dimension by using the truncate_dim parameter when loading the SentenceTransformer model.
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("nomic-ai/modernbert-embed-base", truncate_dim=256)
query_embeddings = model.encode([
"search_query: What is TSNE?",
"search_query: Who is Laurens van der Maaten?",
])
doc_embeddings = model.encode([
"search_document: TSNE is a dimensionality reduction algorithm created by Laurens van Der Maaten",
])
print(query_embeddings.shape, doc_embeddings.shape)
# (2, 256) (1, 256)
similarities = model.similarity(query_embeddings, doc_embeddings)
print(similarities)
# tensor([[0.7759],
# [0.3419]])
Note the small differences compared to the full 768-dimensional similarities.
Transformers
import torch
import torch.nn.functional as F
from transformers import AutoTokenizer, AutoModel
def mean_pooling(model_output, attention_mask):
token_embeddings = model_output[0]
input_mask_expanded = (
attention_mask.unsqueeze(-1).expand(token_embeddings.size()).float()
)
return torch.sum(token_embeddings * input_mask_expanded, 1) / torch.clamp(
input_mask_expanded.sum(1), min=1e-9
)
queries = ["search_query: What is TSNE?", "search_query: Who is Laurens van der Maaten?"]
documents = ["search_document: TSNE is a dimensionality reduction algorithm created by Laurens van Der Maaten"]
tokenizer = AutoTokenizer.from_pretrained("nomic-ai/modernbert-embed-base")
model = AutoModel.from_pretrained("nomic-ai/modernbert-embed-base")
encoded_queries = tokenizer(queries, padding=True, truncation=True, return_tensors="pt")
encoded_documents = tokenizer(documents, padding=True, truncation=True, return_tensors="pt")
with torch.no_grad():
queries_outputs = model(**encoded_queries)
documents_outputs = model(**encoded_documents)
query_embeddings = mean_pooling(queries_outputs, encoded_queries["attention_mask"])
query_embeddings = F.normalize(query_embeddings, p=2, dim=1)
doc_embeddings = mean_pooling(documents_outputs, encoded_documents["attention_mask"])
doc_embeddings = F.normalize(doc_embeddings, p=2, dim=1)
print(query_embeddings.shape, doc_embeddings.shape)
# torch.Size([2, 768]) torch.Size([1, 768])
similarities = query_embeddings @ doc_embeddings.T
print(similarities)
# tensor([[0.7214],
# [0.3260]])
Click to see Transformers usage with Matryoshka Truncation
In transformers, you can truncate embeddings to a smaller dimension by slicing the mean pooled embeddings, prior to normalization.
import torch
import torch.nn.functional as F
from transformers import AutoTokenizer, AutoModel
def mean_pooling(model_output, attention_mask):
token_embeddings = model_output[0]
input_mask_expanded = (
attention_mask.unsqueeze(-1).expand(token_embeddings.size()).float()
)
return torch.sum(token_embeddings * input_mask_expanded, 1) / torch.clamp(
input_mask_expanded.sum(1), min=1e-9
)
queries = ["search_query: What is TSNE?", "search_query: Who is Laurens van der Maaten?"]
documents = ["search_document: TSNE is a dimensionality reduction algorithm created by Laurens van Der Maaten"]
tokenizer = AutoTokenizer.from_pretrained(".")
model = AutoModel.from_pretrained(".")
truncate_dim = 256
encoded_queries = tokenizer(queries, padding=True, truncation=True, return_tensors="pt")
encoded_documents = tokenizer(documents, padding=True, truncation=True, return_tensors="pt")
with torch.no_grad():
queries_outputs = model(**encoded_queries)
documents_outputs = model(**encoded_documents)
query_embeddings = mean_pooling(queries_outputs, encoded_queries["attention_mask"])
query_embeddings = query_embeddings[:, :truncate_dim]
query_embeddings = F.normalize(query_embeddings, p=2, dim=1)
doc_embeddings = mean_pooling(documents_outputs, encoded_documents["attention_mask"])
doc_embeddings = doc_embeddings[:, :truncate_dim]
doc_embeddings = F.normalize(doc_embeddings, p=2, dim=1)
print(query_embeddings.shape, doc_embeddings.shape)
# torch.Size([2, 256]) torch.Size([1, 256])
similarities = query_embeddings @ doc_embeddings.T
print(similarities)
# tensor([[0.7759],
# [0.3419]])
Note the small differences compared to the full 768-dimensional similarities.
Transformers.js
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @huggingface/transformers
Then, you can compute embeddings as follows:
import { pipeline, matmul } from '@huggingface/transformers';
// Create a feature extraction pipeline
const extractor = await pipeline(
"feature-extraction",
"nomic-ai/modernbert-embed-base",
{ dtype: "fp32" }, // Supported options: "fp32", "fp16", "q8", "q4", "q4f16"
);
// Embed queries and documents
const query_embeddings = await extractor([
"search_query: What is TSNE?",
"search_query: Who is Laurens van der Maaten?",
], { pooling: "mean", normalize: true },
);
const doc_embeddings = await extractor([
"search_document: TSNE is a dimensionality reduction algorithm created by Laurens van Der Maaten",
], { pooling: "mean", normalize: true },
);
// Compute similarity scores
const similarities = await matmul(query_embeddings, doc_embeddings.transpose(1, 0));
console.log(similarities.tolist()); // [[0.721383273601532], [0.3259955644607544]]
Training
Click the Nomic Atlas map below to visualize a 5M sample of our contrastive pretraining data!
We train our embedder using a multi-stage training pipeline. Starting from a long-context BERT model,
the first unsupervised contrastive stage trains on a dataset generated from weakly related text pairs, such as question-answer pairs from forums like StackExchange and Quora, title-body pairs from Amazon reviews, and summarizations from news articles.
In the second finetuning stage, higher quality labeled datasets such as search queries and answers from web searches are leveraged. Data curation and hard-example mining is crucial in this stage.
For more details, see the Nomic Embed Technical Report and corresponding blog post.
Training data to train the models is released in its entirety. For more details, see the contrastors repository
Citation
If you find the model, dataset, or training code useful, please cite our work
@misc{nussbaum2024nomic,
title={Nomic Embed: Training a Reproducible Long Context Text Embedder},
author={Zach Nussbaum and John X. Morris and Brandon Duderstadt and Andriy Mulyar},
year={2024},
eprint={2402.01613},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
3d656e81d9
