Update README.md

README.md

@@ -81,791 +81,10 @@ model-index:
       type: Retrieval
   - dataset:
       config: default
-      name: MTEB CQADupstackAndroidRetrieval
+      name: MTEB CQADupstackRetrieval
       revision: None
       split: test
-      type: mteb/cqadupstack-android
-    metrics:
-    - type: map_at_1
-      value: 34.577999999999996
-    - type: map_at_10
-      value: 47.308
-    - type: map_at_100
-      value: 49.014
-    - type: map_at_1000
-      value: 49.126999999999995
-    - type: map_at_3
-      value: 43.4
-    - type: map_at_5
-      value: 45.426
-    - type: mrr_at_1
-      value: 42.632
-    - type: mrr_at_10
-      value: 53.711
-    - type: mrr_at_100
-      value: 54.422000000000004
-    - type: mrr_at_1000
-      value: 54.452
-    - type: mrr_at_3
-      value: 51.097
-    - type: mrr_at_5
-      value: 52.535
-    - type: ndcg_at_1
-      value: 42.632
-    - type: ndcg_at_10
-      value: 54.408
-    - type: ndcg_at_100
-      value: 59.789
-    - type: ndcg_at_1000
-      value: 61.149
-    - type: ndcg_at_3
-      value: 49
-    - type: ndcg_at_5
-      value: 51.141000000000005
-    - type: precision_at_1
-      value: 42.632
-    - type: precision_at_10
-      value: 10.472
-    - type: precision_at_100
-      value: 1.6469999999999998
-    - type: precision_at_1000
-      value: 0.203
-    - type: precision_at_3
-      value: 23.701
-    - type: precision_at_5
-      value: 16.938
-    - type: recall_at_1
-      value: 34.577999999999996
-    - type: recall_at_10
-      value: 67.948
-    - type: recall_at_100
-      value: 89.642
-    - type: recall_at_1000
-      value: 97.597
-    - type: recall_at_3
-      value: 51.381
-    - type: recall_at_5
-      value: 57.855000000000004
-    - type: main_score
-      value: 54.408
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
-      name: MTEB CQADupstackEnglishRetrieval
-      revision: None
-      split: test
-      type: mteb/cqadupstack-english
-    metrics:
-    - type: map_at_1
-      value: 36.195
-    - type: map_at_10
-      value: 48.433
-    - type: map_at_100
-      value: 49.724000000000004
-    - type: map_at_1000
-      value: 49.842999999999996
-    - type: map_at_3
-      value: 44.940000000000005
-    - type: map_at_5
-      value: 46.992
-    - type: mrr_at_1
-      value: 45.669
-    - type: mrr_at_10
-      value: 54.627
-    - type: mrr_at_100
-      value: 55.186
-    - type: mrr_at_1000
-      value: 55.221
-    - type: mrr_at_3
-      value: 52.282
-    - type: mrr_at_5
-      value: 53.795
-    - type: ndcg_at_1
-      value: 45.669
-    - type: ndcg_at_10
-      value: 54.494
-    - type: ndcg_at_100
-      value: 58.582
-    - type: ndcg_at_1000
-      value: 60.305
-    - type: ndcg_at_3
-      value: 49.978
-    - type: ndcg_at_5
-      value: 52.251999999999995
-    - type: precision_at_1
-      value: 45.669
-    - type: precision_at_10
-      value: 10.255
-    - type: precision_at_100
-      value: 1.582
-    - type: precision_at_1000
-      value: 0.202
-    - type: precision_at_3
-      value: 24.352
-    - type: precision_at_5
-      value: 17.236
-    - type: recall_at_1
-      value: 36.195
-    - type: recall_at_10
-      value: 65.058
-    - type: recall_at_100
-      value: 81.972
-    - type: recall_at_1000
-      value: 92.527
-    - type: recall_at_3
-      value: 51.427
-    - type: recall_at_5
-      value: 57.915000000000006
-    - type: main_score
-      value: 54.494
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
-      name: MTEB CQADupstackGamingRetrieval
-      revision: None
-      split: test
-      type: mteb/cqadupstack-gaming
-    metrics:
-    - type: map_at_1
-      value: 44.521
-    - type: map_at_10
-      value: 58.418000000000006
-    - type: map_at_100
-      value: 59.447
-    - type: map_at_1000
-      value: 59.484
-    - type: map_at_3
-      value: 54.954
-    - type: map_at_5
-      value: 56.940999999999995
-    - type: mrr_at_1
-      value: 51.097
-    - type: mrr_at_10
-      value: 61.751
-    - type: mrr_at_100
-      value: 62.373999999999995
-    - type: mrr_at_1000
-      value: 62.39
-    - type: mrr_at_3
-      value: 59.467000000000006
-    - type: mrr_at_5
-      value: 60.853
-    - type: ndcg_at_1
-      value: 51.097
-    - type: ndcg_at_10
-      value: 64.47699999999999
-    - type: ndcg_at_100
-      value: 68.162
-    - type: ndcg_at_1000
-      value: 68.807
-    - type: ndcg_at_3
-      value: 59.028000000000006
-    - type: ndcg_at_5
-      value: 61.75000000000001
-    - type: precision_at_1
-      value: 51.097
-    - type: precision_at_10
-      value: 10.313
-    - type: precision_at_100
-      value: 1.303
-    - type: precision_at_1000
-      value: 0.13899999999999998
-    - type: precision_at_3
-      value: 26.352999999999998
-    - type: precision_at_5
-      value: 17.931
-    - type: recall_at_1
-      value: 44.521
-    - type: recall_at_10
-      value: 78.81
-    - type: recall_at_100
-      value: 94.12899999999999
-    - type: recall_at_1000
-      value: 98.542
-    - type: recall_at_3
-      value: 64.363
-    - type: recall_at_5
-      value: 71.114
-    - type: main_score
-      value: 64.47699999999999
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
-      name: MTEB CQADupstackGisRetrieval
-      revision: None
-      split: test
-      type: mteb/cqadupstack-gis
-    metrics:
-    - type: map_at_1
-      value: 27.913
-    - type: map_at_10
-      value: 37.518
-    - type: map_at_100
-      value: 38.559
-    - type: map_at_1000
-      value: 38.635999999999996
-    - type: map_at_3
-      value: 34.304
-    - type: map_at_5
-      value: 36.142
-    - type: mrr_at_1
-      value: 30.056
-    - type: mrr_at_10
-      value: 39.493
-    - type: mrr_at_100
-      value: 40.411
-    - type: mrr_at_1000
-      value: 40.46
-    - type: mrr_at_3
-      value: 36.629
-    - type: mrr_at_5
-      value: 38.239000000000004
-    - type: ndcg_at_1
-      value: 30.056
-    - type: ndcg_at_10
-      value: 43.038
-    - type: ndcg_at_100
-      value: 48.254000000000005
-    - type: ndcg_at_1000
-      value: 49.94
-    - type: ndcg_at_3
-      value: 36.897000000000006
-    - type: ndcg_at_5
-      value: 39.918
-    - type: precision_at_1
-      value: 30.056
-    - type: precision_at_10
-      value: 6.701
-    - type: precision_at_100
-      value: 0.983
-    - type: precision_at_1000
-      value: 0.116
-    - type: precision_at_3
-      value: 15.518
-    - type: precision_at_5
-      value: 11.096
-    - type: recall_at_1
-      value: 27.913
-    - type: recall_at_10
-      value: 58.111999999999995
-    - type: recall_at_100
-      value: 82.133
-    - type: recall_at_1000
-      value: 94.388
-    - type: recall_at_3
-      value: 41.735
-    - type: recall_at_5
-      value: 48.929
-    - type: main_score
-      value: 43.038
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
-      name: MTEB CQADupstackMathematicaRetrieval
-      revision: None
-      split: test
-      type: mteb/cqadupstack-mathematica
-    metrics:
-    - type: map_at_1
-      value: 19.505
-    - type: map_at_10
-      value: 28.723
-    - type: map_at_100
-      value: 30.184
-    - type: map_at_1000
-      value: 30.298000000000002
-    - type: map_at_3
-      value: 25.317
-    - type: map_at_5
-      value: 27.247
-    - type: mrr_at_1
-      value: 24.254
-    - type: mrr_at_10
-      value: 33.743
-    - type: mrr_at_100
-      value: 34.8
-    - type: mrr_at_1000
-      value: 34.859
-    - type: mrr_at_3
-      value: 30.659
-    - type: mrr_at_5
-      value: 32.481
-    - type: ndcg_at_1
-      value: 24.254
-    - type: ndcg_at_10
-      value: 34.797
-    - type: ndcg_at_100
-      value: 41.074
-    - type: ndcg_at_1000
-      value: 43.639
-    - type: ndcg_at_3
-      value: 28.823
-    - type: ndcg_at_5
-      value: 31.679000000000002
-    - type: precision_at_1
-      value: 24.254
-    - type: precision_at_10
-      value: 6.691999999999999
-    - type: precision_at_100
-      value: 1.127
-    - type: precision_at_1000
-      value: 0.147
-    - type: precision_at_3
-      value: 14.179
-    - type: precision_at_5
-      value: 10.647
-    - type: recall_at_1
-      value: 19.505
-    - type: recall_at_10
-      value: 48.495
-    - type: recall_at_100
-      value: 74.888
-    - type: recall_at_1000
-      value: 93.04599999999999
-    - type: recall_at_3
-      value: 31.96
-    - type: recall_at_5
-      value: 39.183
-    - type: main_score
-      value: 34.797
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
-      name: MTEB CQADupstackPhysicsRetrieval
-      revision: None
-      split: test
-      type: mteb/cqadupstack-physics
-    metrics:
-    - type: map_at_1
-      value: 32.565
-    - type: map_at_10
-      value: 45.793
-    - type: map_at_100
-      value: 47.22
-    - type: map_at_1000
-      value: 47.309
-    - type: map_at_3
-      value: 42.164
-    - type: map_at_5
-      value: 44.114
-    - type: mrr_at_1
-      value: 40.038000000000004
-    - type: mrr_at_10
-      value: 51.086
-    - type: mrr_at_100
-      value: 51.867
-    - type: mrr_at_1000
-      value: 51.897000000000006
-    - type: mrr_at_3
-      value: 48.396
-    - type: mrr_at_5
-      value: 49.921
-    - type: ndcg_at_1
-      value: 40.038000000000004
-    - type: ndcg_at_10
-      value: 52.329
-    - type: ndcg_at_100
-      value: 57.788
-    - type: ndcg_at_1000
-      value: 59.199999999999996
-    - type: ndcg_at_3
-      value: 46.861000000000004
-    - type: ndcg_at_5
-      value: 49.318
-    - type: precision_at_1
-      value: 40.038000000000004
-    - type: precision_at_10
-      value: 9.702
-    - type: precision_at_100
-      value: 1.4500000000000002
-    - type: precision_at_1000
-      value: 0.172
-    - type: precision_at_3
-      value: 22.842000000000002
-    - type: precision_at_5
-      value: 16.014999999999997
-    - type: recall_at_1
-      value: 32.565
-    - type: recall_at_10
-      value: 66.178
-    - type: recall_at_100
-      value: 88.568
-    - type: recall_at_1000
-      value: 97.419
-    - type: recall_at_3
-      value: 50.604000000000006
-    - type: recall_at_5
-      value: 57.247
-    - type: main_score
-      value: 52.329
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
-      name: MTEB CQADupstackProgrammersRetrieval
-      revision: None
-      split: test
-      type: mteb/cqadupstack-programmers
-    metrics:
-    - type: map_at_1
-      value: 29.395
-    - type: map_at_10
-      value: 41.93
-    - type: map_at_100
-      value: 43.364999999999995
-    - type: map_at_1000
-      value: 43.461
-    - type: map_at_3
-      value: 38.076
-    - type: map_at_5
-      value: 40.099000000000004
-    - type: mrr_at_1
-      value: 36.644
-    - type: mrr_at_10
-      value: 47.336
-    - type: mrr_at_100
-      value: 48.132000000000005
-    - type: mrr_at_1000
-      value: 48.169000000000004
-    - type: mrr_at_3
-      value: 44.196999999999996
-    - type: mrr_at_5
-      value: 45.972
-    - type: ndcg_at_1
-      value: 36.644
-    - type: ndcg_at_10
-      value: 48.768
-    - type: ndcg_at_100
-      value: 54.177
-    - type: ndcg_at_1000
-      value: 55.923
-    - type: ndcg_at_3
-      value: 42.663000000000004
-    - type: ndcg_at_5
-      value: 45.308
-    - type: precision_at_1
-      value: 36.644
-    - type: precision_at_10
-      value: 9.212
-    - type: precision_at_100
-      value: 1.4000000000000001
-    - type: precision_at_1000
-      value: 0.172
-    - type: precision_at_3
-      value: 20.776
-    - type: precision_at_5
-      value: 14.954
-    - type: recall_at_1
-      value: 29.395
-    - type: recall_at_10
-      value: 63.653000000000006
-    - type: recall_at_100
-      value: 85.488
-    - type: recall_at_1000
-      value: 97.235
-    - type: recall_at_3
-      value: 46.64
-    - type: recall_at_5
-      value: 53.604
-    - type: main_score
-      value: 48.768
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
-      name: MTEB CQADupstackStatsRetrieval
-      revision: None
-      split: test
-      type: mteb/cqadupstack-stats
-    metrics:
-    - type: map_at_1
-      value: 27.642
-    - type: map_at_10
-      value: 35.988
-    - type: map_at_100
-      value: 37.016
-    - type: map_at_1000
-      value: 37.102000000000004
-    - type: map_at_3
-      value: 33.016
-    - type: map_at_5
-      value: 34.598
-    - type: mrr_at_1
-      value: 30.828
-    - type: mrr_at_10
-      value: 38.866
-    - type: mrr_at_100
-      value: 39.732
-    - type: mrr_at_1000
-      value: 39.789
-    - type: mrr_at_3
-      value: 36.35
-    - type: mrr_at_5
-      value: 37.653
-    - type: ndcg_at_1
-      value: 30.828
-    - type: ndcg_at_10
-      value: 41.134
-    - type: ndcg_at_100
-      value: 46.169
-    - type: ndcg_at_1000
-      value: 48.157
-    - type: ndcg_at_3
-      value: 35.674
-    - type: ndcg_at_5
-      value: 38.104
-    - type: precision_at_1
-      value: 30.828
-    - type: precision_at_10
-      value: 6.61
-    - type: precision_at_100
-      value: 1.0030000000000001
-    - type: precision_at_1000
-      value: 0.125
-    - type: precision_at_3
-      value: 15.235000000000001
-    - type: precision_at_5
-      value: 10.706
-    - type: recall_at_1
-      value: 27.642
-    - type: recall_at_10
-      value: 54.142
-    - type: recall_at_100
-      value: 76.988
-    - type: recall_at_1000
-      value: 91.282
-    - type: recall_at_3
-      value: 39.128
-    - type: recall_at_5
-      value: 45.117000000000004
-    - type: main_score
-      value: 41.134
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
-      name: MTEB CQADupstackTexRetrieval
-      revision: None
-      split: test
-      type: mteb/cqadupstack-tex
-    metrics:
-    - type: map_at_1
-      value: 20.505000000000003
-    - type: map_at_10
-      value: 28.921000000000003
-    - type: map_at_100
-      value: 30.165999999999997
-    - type: map_at_1000
-      value: 30.293
-    - type: map_at_3
-      value: 26.251
-    - type: map_at_5
-      value: 27.669
-    - type: mrr_at_1
-      value: 25.224000000000004
-    - type: mrr_at_10
-      value: 33.4
-    - type: mrr_at_100
-      value: 34.347
-    - type: mrr_at_1000
-      value: 34.418
-    - type: mrr_at_3
-      value: 31.028
-    - type: mrr_at_5
-      value: 32.33
-    - type: ndcg_at_1
-      value: 25.224000000000004
-    - type: ndcg_at_10
-      value: 34.202
-    - type: ndcg_at_100
-      value: 39.757
-    - type: ndcg_at_1000
-      value: 42.481
-    - type: ndcg_at_3
-      value: 29.656
-    - type: ndcg_at_5
-      value: 31.643
-    - type: precision_at_1
-      value: 25.224000000000004
-    - type: precision_at_10
-      value: 6.256
-    - type: precision_at_100
-      value: 1.054
-    - type: precision_at_1000
-      value: 0.148
-    - type: precision_at_3
-      value: 14.12
-    - type: precision_at_5
-      value: 10.103
-    - type: recall_at_1
-      value: 20.505000000000003
-    - type: recall_at_10
-      value: 45.578
-    - type: recall_at_100
-      value: 70.226
-    - type: recall_at_1000
-      value: 89.242
-    - type: recall_at_3
-      value: 32.446999999999996
-    - type: recall_at_5
-      value: 37.842
-    - type: main_score
-      value: 34.202
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
-      name: MTEB CQADupstackUnixRetrieval
-      revision: None
-      split: test
-      type: mteb/cqadupstack-unix
-    metrics:
-    - type: map_at_1
-      value: 30.446
-    - type: map_at_10
-      value: 41.296
-    - type: map_at_100
-      value: 42.620000000000005
-    - type: map_at_1000
-      value: 42.703
-    - type: map_at_3
-      value: 37.969
-    - type: map_at_5
-      value: 39.878
-    - type: mrr_at_1
-      value: 35.821
-    - type: mrr_at_10
-      value: 45.395
-    - type: mrr_at_100
-      value: 46.308
-    - type: mrr_at_1000
-      value: 46.354
-    - type: mrr_at_3
-      value: 42.553000000000004
-    - type: mrr_at_5
-      value: 44.352999999999994
-    - type: ndcg_at_1
-      value: 35.821
-    - type: ndcg_at_10
-      value: 47.176
-    - type: ndcg_at_100
-      value: 52.827999999999996
-    - type: ndcg_at_1000
-      value: 54.56100000000001
-    - type: ndcg_at_3
-      value: 41.695
-    - type: ndcg_at_5
-      value: 44.424
-    - type: precision_at_1
-      value: 35.821
-    - type: precision_at_10
-      value: 8.106
-    - type: precision_at_100
-      value: 1.2269999999999999
-    - type: precision_at_1000
-      value: 0.147
-    - type: precision_at_3
-      value: 19.403000000000002
-    - type: precision_at_5
-      value: 13.730999999999998
-    - type: recall_at_1
-      value: 30.446
-    - type: recall_at_10
-      value: 60.704
-    - type: recall_at_100
-      value: 84.73
-    - type: recall_at_1000
-      value: 96.531
-    - type: recall_at_3
-      value: 45.615
-    - type: recall_at_5
-      value: 52.683
-    - type: main_score
-      value: 47.176
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
-      name: MTEB CQADupstackWebmastersRetrieval
-      revision: None
-      split: test
-      type: mteb/cqadupstack-webmasters
-    metrics:
-    - type: map_at_1
-      value: 27.889000000000003
-    - type: map_at_10
-      value: 38.676
-    - type: map_at_100
-      value: 40.448
-    - type: map_at_1000
-      value: 40.689
-    - type: map_at_3
-      value: 35.13
-    - type: map_at_5
-      value: 37.058
-    - type: mrr_at_1
-      value: 34.19
-    - type: mrr_at_10
-      value: 43.532
-    - type: mrr_at_100
-      value: 44.504
-    - type: mrr_at_1000
-      value: 44.554
-    - type: mrr_at_3
-      value: 40.679
-    - type: mrr_at_5
-      value: 42.22
-    - type: ndcg_at_1
-      value: 34.19
-    - type: ndcg_at_10
-      value: 45.335
-    - type: ndcg_at_100
-      value: 51.196
-    - type: ndcg_at_1000
-      value: 53.337
-    - type: ndcg_at_3
-      value: 39.782000000000004
-    - type: ndcg_at_5
-      value: 42.24
-    - type: precision_at_1
-      value: 34.19
-    - type: precision_at_10
-      value: 8.834
-    - type: precision_at_100
-      value: 1.7229999999999999
-    - type: precision_at_1000
-      value: 0.255
-    - type: precision_at_3
-      value: 18.775
-    - type: precision_at_5
-      value: 13.715
-    - type: recall_at_1
-      value: 27.889000000000003
-    - type: recall_at_10
-      value: 58.391000000000005
-    - type: recall_at_100
-      value: 83.94200000000001
-    - type: recall_at_1000
-      value: 96.736
-    - type: recall_at_3
-      value: 42.208
-    - type: recall_at_5
-      value: 48.947
-    - type: main_score
-      value: 45.335
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
-      name: MTEB CQADupstackWordpressRetrieval
-      revision: None
-      split: test
-      type: mteb/cqadupstack-wordpress
+      type: mteb/cqadupstack
     metrics:
     - type: map_at_1
       value: 24.75
@@ -894,7 +113,7 @@ model-index:
     - type: ndcg_at_1
       value: 27.357
     - type: ndcg_at_10
-      value: 38.97
+      value: 46.593999999999997
     - type: ndcg_at_100
       value: 44.317
     - type: ndcg_at_1000
@@ -928,7 +147,7 @@ model-index:
     - type: recall_at_5
       value: 44.639
     - type: main_score
-      value: 38.97
+      value: 46.593999999999997
     task:
       type: Retrieval
   - dataset: