Datasets:
mteb
/

Artem Snegirev commited on
Commit
a3326d8
·
unverified ·
1 Parent(s): 45604e5

Update results for Russian models (#19)

Browse files

* add miracl results

* update results to v1.14.12

* update cedr and georeview

* update clustering

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Files changed (50) hide show
  1. paths.json +28 -8
  2. results.py +1 -1
  3. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/CEDRClassification.json +3 -3
  4. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/GeoreviewClassification.json +3 -3
  5. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/GeoreviewClusteringP2P.json +16 -16
  6. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/HeadlineClassification.json +3 -3
  7. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/InappropriatenessClassification.json +3 -3
  8. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/KinopoiskClassification.json +3 -3
  9. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/MIRACLReranking.json +130 -0
  10. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/MIRACLRetrieval.json +158 -0
  11. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/MassiveIntentClassification.json +3 -3
  12. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/MassiveScenarioClassification.json +3 -3
  13. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/RUParaPhraserSTS.json +13 -13
  14. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/RiaNewsRetrieval.json +96 -96
  15. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/RuBQReranking.json +8 -8
  16. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/RuBQRetrieval.json +72 -72
  17. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/RuReviewsClassification.json +3 -3
  18. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/RuSTSBenchmarkSTS.json +12 -12
  19. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/RuSciBenchGRNTIClassification.json +3 -3
  20. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/RuSciBenchGRNTIClusteringP2P.json +15 -15
  21. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/RuSciBenchOECDClassification.json +3 -3
  22. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/RuSciBenchOECDClusteringP2P.json +12 -12
  23. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/STS22.json +32 -0
  24. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/SensitiveTopicsClassification.json +37 -37
  25. results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/TERRa.json +13 -12
  26. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/CEDRClassification.json +3 -3
  27. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/GeoreviewClassification.json +24 -13
  28. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/GeoreviewClusteringP2P.json +16 -15
  29. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/HeadlineClassification.json +24 -13
  30. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/InappropriatenessClassification.json +35 -13
  31. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/KinopoiskClassification.json +24 -13
  32. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/MIRACLReranking.json +130 -0
  33. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/MIRACLRetrieval.json +158 -0
  34. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/MassiveIntentClassification.json +45 -23
  35. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/MassiveScenarioClassification.json +45 -23
  36. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/RUParaPhraserSTS.json +18 -16
  37. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/RiaNewsRetrieval.json +75 -75
  38. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/RuBQReranking.json +8 -8
  39. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/RuBQRetrieval.json +59 -59
  40. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/RuReviewsClassification.json +24 -13
  41. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/RuSTSBenchmarkSTS.json +17 -15
  42. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/RuSciBenchGRNTIClassification.json +24 -13
  43. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/RuSciBenchGRNTIClusteringP2P.json +16 -15
  44. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/RuSciBenchOECDClassification.json +24 -13
  45. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/RuSciBenchOECDClusteringP2P.json +16 -15
  46. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/STS22.json +17 -15
  47. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/SensitiveTopicsClassification.json +37 -37
  48. results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/TERRa.json +43 -44
  49. results/ai-forever__sbert_large_nlu_ru/af977d5dfa46a3635e29bf0ef383f2df2a08d47a/CEDRClassification.json +3 -3
  50. results/ai-forever__sbert_large_nlu_ru/af977d5dfa46a3635e29bf0ef383f2df2a08d47a/GeoreviewClassification.json +24 -13
paths.json CHANGED
@@ -360,7 +360,10 @@
360
  "results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/PublicHealthQA.json",
361
  "results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/TERRa.json",
362
  "results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/KinopoiskClassification.json",
363
- "results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/XNLI.json"
 
 
 
364
  ],
365
  "gtr-t5-large": [
366
  "results/gtr-t5-large/no_revision_available/MedrxivClusteringP2P.json",
@@ -1423,6 +1426,8 @@
1423
  "results/intfloat__multilingual-e5-small/e4ce9877abf3edfe10b0d82785e83bdcb973e22e/XNLI.json",
1424
  "results/intfloat__multilingual-e5-small/e4ce9877abf3edfe10b0d82785e83bdcb973e22e/InsurancePolicyInterpretationLegalBenchClassification.json",
1425
  "results/intfloat__multilingual-e5-small/e4ce9877abf3edfe10b0d82785e83bdcb973e22e/SentimentAnalysisHindi.json",
 
 
1426
  "results/intfloat__multilingual-e5-small/0a68dcd3dad5b4962a78daa930087728292b241d/NusaParagraphEmotionClassification.json",
1427
  "results/intfloat__multilingual-e5-small/0a68dcd3dad5b4962a78daa930087728292b241d/NusaXBitextMining.json",
1428
  "results/intfloat__multilingual-e5-small/0a68dcd3dad5b4962a78daa930087728292b241d/CEDRClassification.json",
@@ -4368,7 +4373,9 @@
4368
  "results/intfloat__multilingual-e5-large/4dc6d853a804b9c8886ede6dda8a073b7dc08a81/ContractNLIPermissibleCopyLegalBenchClassification.json",
4369
  "results/intfloat__multilingual-e5-large/4dc6d853a804b9c8886ede6dda8a073b7dc08a81/XNLI.json",
4370
  "results/intfloat__multilingual-e5-large/4dc6d853a804b9c8886ede6dda8a073b7dc08a81/InsurancePolicyInterpretationLegalBenchClassification.json",
4371
- "results/intfloat__multilingual-e5-large/4dc6d853a804b9c8886ede6dda8a073b7dc08a81/SentimentAnalysisHindi.json"
 
 
4372
  ],
4373
  "sgpt-bloom-1b7-nli": [
4374
  "results/sgpt-bloom-1b7-nli/no_revision_available/AmazonReviewsClassification.json",
@@ -9643,7 +9650,9 @@
9643
  "results/intfloat__multilingual-e5-large-instruct/baa7be480a7de1539afce709c8f13f833a510e0a/ContractNLIPermissibleCopyLegalBenchClassification.json",
9644
  "results/intfloat__multilingual-e5-large-instruct/baa7be480a7de1539afce709c8f13f833a510e0a/XNLI.json",
9645
  "results/intfloat__multilingual-e5-large-instruct/baa7be480a7de1539afce709c8f13f833a510e0a/InsurancePolicyInterpretationLegalBenchClassification.json",
9646
- "results/intfloat__multilingual-e5-large-instruct/baa7be480a7de1539afce709c8f13f833a510e0a/SentimentAnalysisHindi.json"
 
 
9647
  ],
9648
  "glove.6B.300d": [
9649
  "results/glove.6B.300d/no_revision_available/MedrxivClusteringP2P.json",
@@ -9738,7 +9747,9 @@
9738
  "results/ai-forever__sbert_large_nlu_ru/af977d5dfa46a3635e29bf0ef383f2df2a08d47a/GeoreviewClassification.json",
9739
  "results/ai-forever__sbert_large_nlu_ru/af977d5dfa46a3635e29bf0ef383f2df2a08d47a/TERRa.json",
9740
  "results/ai-forever__sbert_large_nlu_ru/af977d5dfa46a3635e29bf0ef383f2df2a08d47a/KinopoiskClassification.json",
9741
- "results/ai-forever__sbert_large_nlu_ru/af977d5dfa46a3635e29bf0ef383f2df2a08d47a/XNLI.json"
 
 
9742
  ],
9743
  "OpenSearch-text-hybrid": [
9744
  "results/OpenSearch-text-hybrid/no_revision_available/ThuNewsClusteringP2P.json",
@@ -11998,7 +12009,9 @@
11998
  "results/intfloat__multilingual-e5-base/d13f1b27baf31030b7fd040960d60d909913633f/ContractNLIPermissibleCopyLegalBenchClassification.json",
11999
  "results/intfloat__multilingual-e5-base/d13f1b27baf31030b7fd040960d60d909913633f/XNLI.json",
12000
  "results/intfloat__multilingual-e5-base/d13f1b27baf31030b7fd040960d60d909913633f/InsurancePolicyInterpretationLegalBenchClassification.json",
12001
- "results/intfloat__multilingual-e5-base/d13f1b27baf31030b7fd040960d60d909913633f/SentimentAnalysisHindi.json"
 
 
12002
  ],
12003
  "intfloat__e5-base-v2": [
12004
  "results/intfloat__e5-base-v2/1c644c92ad3ba1efdad3f1451a637716616a20e8/TwentyNewsgroupsClustering.v2.json",
@@ -13302,7 +13315,9 @@
13302
  "results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/GeoreviewClassification.json",
13303
  "results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/TERRa.json",
13304
  "results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/KinopoiskClassification.json",
13305
- "results/ai-forever__sbert_large_mt_nlu_ru/05300876c2b83f46d3ddd422a7f17e45cf633bb0/XNLI.json"
 
 
13306
  ],
13307
  "Cohere-embed-english-v3.0": [
13308
  "results/Cohere-embed-english-v3.0/no_revision_available/GerDaLIRSmall.json",
@@ -15374,7 +15389,10 @@
15374
  "results/intfloat__e5-mistral-7b-instruct/07163b72af1488142a360786df853f237b1a3ca1/ContractNLIPermissibleCopyLegalBenchClassification.json",
15375
  "results/intfloat__e5-mistral-7b-instruct/07163b72af1488142a360786df853f237b1a3ca1/XNLI.json",
15376
  "results/intfloat__e5-mistral-7b-instruct/07163b72af1488142a360786df853f237b1a3ca1/InsurancePolicyInterpretationLegalBenchClassification.json",
15377
- "results/intfloat__e5-mistral-7b-instruct/07163b72af1488142a360786df853f237b1a3ca1/SentimentAnalysisHindi.json"
 
 
 
15378
  ],
15379
  "cointegrated__rubert-tiny2": [
15380
  "results/cointegrated__rubert-tiny2/dad72b8f77c5eef6995dd3e4691b758ba56b90c3/GeoreviewClusteringP2P.json",
@@ -15398,7 +15416,9 @@
15398
  "results/cointegrated__rubert-tiny2/dad72b8f77c5eef6995dd3e4691b758ba56b90c3/GeoreviewClassification.json",
15399
  "results/cointegrated__rubert-tiny2/dad72b8f77c5eef6995dd3e4691b758ba56b90c3/TERRa.json",
15400
  "results/cointegrated__rubert-tiny2/dad72b8f77c5eef6995dd3e4691b758ba56b90c3/KinopoiskClassification.json",
15401
- "results/cointegrated__rubert-tiny2/dad72b8f77c5eef6995dd3e4691b758ba56b90c3/XNLI.json"
 
 
15402
  ],
15403
  "allenai-specter": [
15404
  "results/allenai-specter/no_revision_available/MedrxivClusteringP2P.json",
 
360
  "results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/PublicHealthQA.json",
361
  "results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/TERRa.json",
362
  "results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/KinopoiskClassification.json",
363
+ "results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/XNLI.json",
364
+ "results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/MIRACLReranking.json",
365
+ "results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/MIRACLRetrieval.json",
366
+ "results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/STS22.json"
367
  ],
368
  "gtr-t5-large": [
369
  "results/gtr-t5-large/no_revision_available/MedrxivClusteringP2P.json",
 
1426
  "results/intfloat__multilingual-e5-small/e4ce9877abf3edfe10b0d82785e83bdcb973e22e/XNLI.json",
1427
  "results/intfloat__multilingual-e5-small/e4ce9877abf3edfe10b0d82785e83bdcb973e22e/InsurancePolicyInterpretationLegalBenchClassification.json",
1428
  "results/intfloat__multilingual-e5-small/e4ce9877abf3edfe10b0d82785e83bdcb973e22e/SentimentAnalysisHindi.json",
1429
+ "results/intfloat__multilingual-e5-small/e4ce9877abf3edfe10b0d82785e83bdcb973e22e/MIRACLReranking.json",
1430
+ "results/intfloat__multilingual-e5-small/e4ce9877abf3edfe10b0d82785e83bdcb973e22e/MIRACLRetrieval.json",
1431
  "results/intfloat__multilingual-e5-small/0a68dcd3dad5b4962a78daa930087728292b241d/NusaParagraphEmotionClassification.json",
1432
  "results/intfloat__multilingual-e5-small/0a68dcd3dad5b4962a78daa930087728292b241d/NusaXBitextMining.json",
1433
  "results/intfloat__multilingual-e5-small/0a68dcd3dad5b4962a78daa930087728292b241d/CEDRClassification.json",
 
4373
  "results/intfloat__multilingual-e5-large/4dc6d853a804b9c8886ede6dda8a073b7dc08a81/ContractNLIPermissibleCopyLegalBenchClassification.json",
4374
  "results/intfloat__multilingual-e5-large/4dc6d853a804b9c8886ede6dda8a073b7dc08a81/XNLI.json",
4375
  "results/intfloat__multilingual-e5-large/4dc6d853a804b9c8886ede6dda8a073b7dc08a81/InsurancePolicyInterpretationLegalBenchClassification.json",
4376
+ "results/intfloat__multilingual-e5-large/4dc6d853a804b9c8886ede6dda8a073b7dc08a81/SentimentAnalysisHindi.json",
4377
+ "results/intfloat__multilingual-e5-large/4dc6d853a804b9c8886ede6dda8a073b7dc08a81/MIRACLReranking.json",
4378
+ "results/intfloat__multilingual-e5-large/4dc6d853a804b9c8886ede6dda8a073b7dc08a81/MIRACLRetrieval.json"
4379
  ],
4380
  "sgpt-bloom-1b7-nli": [
4381
  "results/sgpt-bloom-1b7-nli/no_revision_available/AmazonReviewsClassification.json",
 
9650
  "results/intfloat__multilingual-e5-large-instruct/baa7be480a7de1539afce709c8f13f833a510e0a/ContractNLIPermissibleCopyLegalBenchClassification.json",
9651
  "results/intfloat__multilingual-e5-large-instruct/baa7be480a7de1539afce709c8f13f833a510e0a/XNLI.json",
9652
  "results/intfloat__multilingual-e5-large-instruct/baa7be480a7de1539afce709c8f13f833a510e0a/InsurancePolicyInterpretationLegalBenchClassification.json",
9653
+ "results/intfloat__multilingual-e5-large-instruct/baa7be480a7de1539afce709c8f13f833a510e0a/SentimentAnalysisHindi.json",
9654
+ "results/intfloat__multilingual-e5-large-instruct/baa7be480a7de1539afce709c8f13f833a510e0a/MIRACLReranking.json",
9655
+ "results/intfloat__multilingual-e5-large-instruct/baa7be480a7de1539afce709c8f13f833a510e0a/MIRACLRetrieval.json"
9656
  ],
9657
  "glove.6B.300d": [
9658
  "results/glove.6B.300d/no_revision_available/MedrxivClusteringP2P.json",
 
9747
  "results/ai-forever__sbert_large_nlu_ru/af977d5dfa46a3635e29bf0ef383f2df2a08d47a/GeoreviewClassification.json",
9748
  "results/ai-forever__sbert_large_nlu_ru/af977d5dfa46a3635e29bf0ef383f2df2a08d47a/TERRa.json",
9749
  "results/ai-forever__sbert_large_nlu_ru/af977d5dfa46a3635e29bf0ef383f2df2a08d47a/KinopoiskClassification.json",
9750
+ "results/ai-forever__sbert_large_nlu_ru/af977d5dfa46a3635e29bf0ef383f2df2a08d47a/XNLI.json",
9751
+ "results/ai-forever__sbert_large_nlu_ru/af977d5dfa46a3635e29bf0ef383f2df2a08d47a/MIRACLReranking.json",
9752
+ "results/ai-forever__sbert_large_nlu_ru/af977d5dfa46a3635e29bf0ef383f2df2a08d47a/MIRACLRetrieval.json"
9753
  ],
9754
  "OpenSearch-text-hybrid": [
9755
  "results/OpenSearch-text-hybrid/no_revision_available/ThuNewsClusteringP2P.json",
 
12009
  "results/intfloat__multilingual-e5-base/d13f1b27baf31030b7fd040960d60d909913633f/ContractNLIPermissibleCopyLegalBenchClassification.json",
12010
  "results/intfloat__multilingual-e5-base/d13f1b27baf31030b7fd040960d60d909913633f/XNLI.json",
12011
  "results/intfloat__multilingual-e5-base/d13f1b27baf31030b7fd040960d60d909913633f/InsurancePolicyInterpretationLegalBenchClassification.json",
12012
+ "results/intfloat__multilingual-e5-base/d13f1b27baf31030b7fd040960d60d909913633f/SentimentAnalysisHindi.json",
12013
+ "results/intfloat__multilingual-e5-base/d13f1b27baf31030b7fd040960d60d909913633f/MIRACLReranking.json",
12014
+ "results/intfloat__multilingual-e5-base/d13f1b27baf31030b7fd040960d60d909913633f/MIRACLRetrieval.json"
12015
  ],
12016
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12017
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13315
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13318
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15389
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results.py CHANGED
@@ -33,7 +33,7 @@ TRAIN_SPLIT = ["DanishPoliticalCommentsClassification"]
33
  # Use "validation" split instead
34
  VALIDATION_SPLIT = ["AFQMC", "Cmnli", "IFlyTek", "LEMBSummScreenFDRetrieval", "MSMARCO", "MSMARCO-PL", "MultilingualSentiment", "Ocnli", "TNews"]
35
  # Use "dev" split instead
36
- DEV_SPLIT = ["CmedqaRetrieval", "CovidRetrieval", "DuRetrieval", "EcomRetrieval", "MedicalRetrieval", "MMarcoReranking", "MMarcoRetrieval", "MSMARCO", "MSMARCO-PL", "T2Reranking", "T2Retrieval", "VideoRetrieval", "TERRa",]
37
  # Use "test.full" split
38
  TESTFULL_SPLIT = ["OpusparcusPC"]
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  # Use "standard" split
 
33
  # Use "validation" split instead
34
  VALIDATION_SPLIT = ["AFQMC", "Cmnli", "IFlyTek", "LEMBSummScreenFDRetrieval", "MSMARCO", "MSMARCO-PL", "MultilingualSentiment", "Ocnli", "TNews"]
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  # Use "dev" split instead
36
+ DEV_SPLIT = ["CmedqaRetrieval", "CovidRetrieval", "DuRetrieval", "EcomRetrieval", "MedicalRetrieval", "MMarcoReranking", "MMarcoRetrieval", "MSMARCO", "MSMARCO-PL", "T2Reranking", "T2Retrieval", "VideoRetrieval", "TERRa", "MIRACLReranking", "MIRACLRetrieval"]
37
  # Use "test.full" split
38
  TESTFULL_SPLIT = ["OpusparcusPC"]
39
  # Use "standard" split
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