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+ type: mteb/sprintduplicatequestions-pairclassification
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+ name: MTEB SprintDuplicateQuestions
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2269
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+ name: MTEB StackExchangeClusteringP2P
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2289
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+ name: MTEB StackOverflowDupQuestions
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+ config: default
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+ split: test
2293
+ revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
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+ type: Summarization
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+ dataset:
2302
+ type: mteb/summeval
2303
+ name: MTEB SummEval
2304
+ config: default
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+ split: test
2306
+ revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
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+ - type: dot_spearman
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+ type: Retrieval
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+ dataset:
2319
+ type: trec-covid
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+ name: MTEB TRECCOVID
2321
+ config: default
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+ split: test
2323
+ revision: None
2324
+ metrics:
2325
+ - type: map_at_1
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+ - type: map_at_10
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+ - type: recall_at_5
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+ - task:
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+ type: Retrieval
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+ dataset:
2388
+ type: webis-touche2020
2389
+ name: MTEB Touche2020
2390
+ config: default
2391
+ split: test
2392
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2393
+ metrics:
2394
+ - type: map_at_1
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+ - type: map_at_10
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+ - type: recall_at_100
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+ - type: recall_at_5
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+ - task:
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+ type: Classification
2456
+ dataset:
2457
+ type: mteb/toxic_conversations_50k
2458
+ name: MTEB ToxicConversationsClassification
2459
+ config: default
2460
+ split: test
2461
+ revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
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+ metrics:
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/tweet_sentiment_extraction
2473
+ name: MTEB TweetSentimentExtractionClassification
2474
+ config: default
2475
+ split: test
2476
+ revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
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+ metrics:
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+ - task:
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+ type: Clustering
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+ dataset:
2485
+ type: mteb/twentynewsgroups-clustering
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+ name: MTEB TwentyNewsgroupsClustering
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+ metrics:
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+ - type: v_measure
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+ dataset:
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+ type: mteb/twittersemeval2015-pairclassification
2497
+ name: MTEB TwitterSemEval2015
2498
+ config: default
2499
+ split: test
2500
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+ type: PairClassification
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+ dataset:
2551
+ type: mteb/twitterurlcorpus-pairclassification
2552
+ name: MTEB TwitterURLCorpus
2553
+ config: default
2554
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2555
+ revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
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+ metrics:
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+ - type: cos_sim_precision
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+ value: 73.60967184801382
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+ - type: cos_sim_recall
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+ value: 82.03726516784724
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+ - type: dot_accuracy
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+ - type: dot_ap
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+ - type: dot_f1
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+ - type: dot_precision
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+ value: 74.02440754931176
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+ - type: dot_recall
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+ value: 80.3279950723745
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+ - type: euclidean_accuracy
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+ value: 88.63080684596576
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+ - type: euclidean_ap
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+ - type: euclidean_f1
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+ - type: manhattan_accuracy
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+ - type: max_f1
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+ value: 77.59531005352656
2603
  license: mit
2604
  language:
2605
  - en