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- value: 12.884821567496274
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- - type: nauc_mrr_at_3_max
3773
- value: -3.525142776490721
3774
- - type: nauc_mrr_at_5_diff1
3775
- value: 16.445959124792818
3776
- - type: nauc_mrr_at_5_max
3777
- value: -4.207329992983104
3778
- - type: nauc_ndcg_at_1000_diff1
3779
- value: 0.4954475160997072
3780
- - type: nauc_ndcg_at_1000_max
3781
- value: -1.4515711306568682
3782
- - type: nauc_ndcg_at_100_diff1
3783
- value: -1.6562434532753776
3784
- - type: nauc_ndcg_at_100_max
3785
- value: -6.035088636127411
3786
- - type: nauc_ndcg_at_10_diff1
3787
- value: 3.1506688231790245
3788
- - type: nauc_ndcg_at_10_max
3789
- value: -4.450428581751591
3790
- - type: nauc_ndcg_at_1_diff1
3791
- value: 10.902788071421643
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- - type: nauc_ndcg_at_1_max
3793
- value: -3.5983043940028026
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- - type: nauc_ndcg_at_20_diff1
3795
- value: -4.129634334760348
3796
- - type: nauc_ndcg_at_20_max
3797
- value: -10.377695853633671
3798
- - type: nauc_ndcg_at_3_diff1
3799
- value: 3.7390054194490463
3800
- - type: nauc_ndcg_at_3_max
3801
- value: -3.6474213357431866
3802
- - type: nauc_ndcg_at_5_diff1
3803
- value: 7.729725342433009
3804
- - type: nauc_ndcg_at_5_max
3805
- value: -1.9704467553539173
3806
- - type: nauc_precision_at_1000_diff1
3807
- value: 2.2605086242588257
3808
- - type: nauc_precision_at_1000_max
3809
- value: 29.68572927933118
3810
- - type: nauc_precision_at_100_diff1
3811
- value: -3.57573889882659
3812
- - type: nauc_precision_at_100_max
3813
- value: 15.778240365801496
3814
- - type: nauc_precision_at_10_diff1
3815
- value: 2.426461390379187
3816
- - type: nauc_precision_at_10_max
3817
- value: 3.4608738145262774
3818
- - type: nauc_precision_at_1_diff1
3819
- value: 15.745291718170254
3820
- - type: nauc_precision_at_1_max
3821
- value: 1.3133671227650265
3822
- - type: nauc_precision_at_20_diff1
3823
- value: -11.920848565711506
3824
- - type: nauc_precision_at_20_max
3825
- value: 2.934435397727988
3826
- - type: nauc_precision_at_3_diff1
3827
- value: 3.3909557257855236
3828
- - type: nauc_precision_at_3_max
3829
- value: -1.3530477456840486
3830
- - type: nauc_precision_at_5_diff1
3831
- value: 12.077987725517026
3832
- - type: nauc_precision_at_5_max
3833
- value: 2.598194203393377
3834
- - type: nauc_recall_at_1000_diff1
3835
- value: -12.47820280756162
3836
- - type: nauc_recall_at_1000_max
3837
- value: 0.18378111872041458
3838
- - type: nauc_recall_at_100_diff1
3839
- value: -11.648421171539056
3840
- - type: nauc_recall_at_100_max
3841
- value: -8.54128043246034
3842
- - type: nauc_recall_at_10_diff1
3843
- value: -4.3154087171431845
3844
- - type: nauc_recall_at_10_max
3845
- value: -12.972050661141497
3846
- - type: nauc_recall_at_1_diff1
3847
- value: 11.58796950076508
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- - type: nauc_recall_at_1_max
3849
- value: -13.815104268329259
3850
- - type: nauc_recall_at_20_diff1
3851
- value: -14.949511913924157
3852
- - type: nauc_recall_at_20_max
3853
- value: -13.18158214788764
3854
- - type: nauc_recall_at_3_diff1
3855
- value: -2.997234767804952
3856
- - type: nauc_recall_at_3_max
3857
- value: -12.691132477531994
3858
- - type: nauc_recall_at_5_diff1
3859
- value: -1.0621644830340549
3860
- - type: nauc_recall_at_5_max
3861
- value: -13.702527975951215
3862
  - type: ndcg_at_1
3863
  value: 35.714
3864
  - type: ndcg_at_10
@@ -4085,7 +1953,7 @@ SFR-Embedding Team (∗indicates equal contributors, † indicates co-leaders).
4085
 
4086
  ## How to run
4087
 
4088
- ### Transformers
4089
  The models can be used as follows:
4090
  ```python
4091
  import torch
 
84
  value: 49.71550497866294
85
  - type: mrr_at_5
86
  value: 52.247510668563436
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
87
  - type: ndcg_at_1
88
  value: 37.767
89
  - type: ndcg_at_10
 
161
  value: 66.71478959728732
162
  - type: mrr
163
  value: 79.07202216066482
 
 
 
 
 
 
 
 
164
  - task:
165
  type: STS
166
  dataset:
 
220
  - task:
221
  type: Retrieval
222
  dataset:
223
+ type: mteb/cqadupstack
224
+ name: MTEB CQADupstackRetrieval
225
  config: default
226
  split: test
227
  revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
 
254
  value: 41.247253732468415
255
  - type: mrr_at_5
256
  value: 42.84859071071954
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
257
  - type: ndcg_at_1
258
  value: 33.739666666666665
259
  - type: ndcg_at_10
 
333
  value: 42.85559174809991
334
  - type: mrr_at_5
335
  value: 44.65038002171556
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
336
  - type: ndcg_at_1
337
  value: 34.984
338
  - type: ndcg_at_10
 
412
  value: 81.41666666666667
413
  - type: mrr_at_5
414
  value: 82.26666666666667
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
415
  - type: ndcg_at_1
416
  value: 63.625
417
  - type: ndcg_at_10
 
504
  value: 92.98679867986787
505
  - type: mrr_at_5
506
  value: 93.16906690669056
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
507
  - type: ndcg_at_1
508
  value: 88.239
509
  - type: ndcg_at_10
 
583
  value: 66.76954732510285
584
  - type: mrr_at_5
585
  value: 67.95781893004109
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
586
  - type: ndcg_at_1
587
  value: 60.956999999999994
588
  - type: ndcg_at_10
 
662
  value: 89.67364393427842
663
  - type: mrr_at_5
664
  value: 90.02408282691847
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
665
  - type: ndcg_at_1
666
  value: 85.483
667
  - type: ndcg_at_10
 
756
  value: 31.81232091690535
757
  - type: mrr_at_5
758
  value: 34.096704871060155
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
759
  - type: ndcg_at_1
760
  value: 23.152
761
  - type: ndcg_at_10
 
885
  value: 31.260919294024603
886
  - type: mrr
887
  value: 32.37049108835034
 
 
 
 
 
 
 
 
888
  - task:
889
  type: Retrieval
890
  dataset:
 
922
  value: 60.31991744066049
923
  - type: mrr_at_5
924
  value: 61.27966976264191
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
925
  - type: ndcg_at_1
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  value: 50.929
927
  - type: ndcg_at_10
 
1001
  value: 67.46813441483191
1002
  - type: mrr_at_5
1003
  value: 68.93105446118189
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1004
  - type: ndcg_at_1
1005
  value: 57.010000000000005
1006
  - type: ndcg_at_10
 
1080
  value: 87.85833333333316
1081
  - type: mrr_at_5
1082
  value: 88.43933333333311
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1083
  - type: ndcg_at_1
1084
  value: 82.74000000000001
1085
  - type: ndcg_at_10
 
1181
  value: 36.84999999999998
1182
  - type: mrr_at_5
1183
  value: 39.19999999999995
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1184
  - type: ndcg_at_1
1185
  value: 28.599999999999998
1186
  - type: ndcg_at_10
 
1425
  value: 87.28566757174322
1426
  - type: mrr
1427
  value: 96.63827639317836
 
 
 
 
 
 
 
 
1428
  - task:
1429
  type: Retrieval
1430
  dataset:
 
1462
  value: 81.8888888888889
1463
  - type: mrr_at_5
1464
  value: 82.65555555555557
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1465
  - type: ndcg_at_1
1466
  value: 74.333
1467
  - type: ndcg_at_10
 
1594
  value: 55.3190739691685
1595
  - type: mrr
1596
  value: 56.40441972243442
 
 
 
 
 
 
 
 
1597
  - task:
1598
  type: Summarization
1599
  dataset:
 
1648
  value: 96.66666666666667
1649
  - type: mrr_at_5
1650
  value: 96.66666666666667
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1651
  - type: ndcg_at_1
1652
  value: 92.0
1653
  - type: ndcg_at_10
 
1727
  value: 48.63945578231292
1728
  - type: mrr_at_5
1729
  value: 51.29251700680272
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1730
  - type: ndcg_at_1
1731
  value: 35.714
1732
  - type: ndcg_at_10
 
1953
 
1954
  ## How to run
1955
 
1956
+ #### Transformers
1957
  The models can be used as follows:
1958
  ```python
1959
  import torch