bge-full-data / README.md
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metadata
dataset_info:
  features:
    - name: query
      dtype: string
    - name: pos
      sequence: string
    - name: neg
      sequence: string
    - name: category
      dtype: string
    - name: type
      dtype: string
    - name: prompt
      dtype: string
    - name: pos_scores
      sequence: float32
    - name: neg_scores
      sequence: float32
  splits:
    - name: twenty_news_groups
      num_bytes: 10644197
      num_examples: 11854
    - name: biorxiv_abstract
      num_bytes: 182788819
      num_examples: 4070
    - name: medrxiv_abstract
      num_bytes: 58248376
      num_examples: 1157
    - name: arxiv_title
      num_bytes: 35663445
      num_examples: 20000
    - name: arXiv_abstract
      num_bytes: 449471879
      num_examples: 20000
    - name: biorxiv_title
      num_bytes: 12121283
      num_examples: 4070
    - name: medrxiv_title
      num_bytes: 3803783
      num_examples: 1157
    - name: toxic_conversations_classification
      num_bytes: 11499650
      num_examples: 25000
    - name: amazon_counterfactual_classification
      num_bytes: 1557984
      num_examples: 3907
    - name: emotion_classification
      num_bytes: 8286968
      num_examples: 14341
    - name: banking_classification
      num_bytes: 13922645
      num_examples: 10003
    - name: amazon_reviews_classification
      num_bytes: 14374654
      num_examples: 20000
    - name: mtop_intent_classification
      num_bytes: 15275262
      num_examples: 15667
    - name: tweet_sentiment_extraction_classification
      num_bytes: 15024620
      num_examples: 27481
    - name: imdb_classification
      num_bytes: 39517198
      num_examples: 25000
    - name: msmarco_passage
      num_bytes: 4895731956
      num_examples: 485823
    - name: hotpotqa
      num_bytes: 767453695
      num_examples: 84516
    - name: msmarco_document
      num_bytes: 81313699404
      num_examples: 367013
    - name: nli
      num_bytes: 73300719
      num_examples: 275601
    - name: eli5
      num_bytes: 3355861720
      num_examples: 325475
    - name: squad
      num_bytes: 669246050
      num_examples: 87599
    - name: fiqa
      num_bytes: 100997705
      num_examples: 5500
    - name: nq
      num_bytes: 3722757937
      num_examples: 58568
    - name: arguana
      num_bytes: 71238399
      num_examples: 4065
    - name: trivial
      num_bytes: 3872346604
      num_examples: 60315
    - name: fever
      num_bytes: 763259063
      num_examples: 29096
    - name: quora
      num_bytes: 125998058
      num_examples: 60202
    - name: stack_overflow_dup_questions
      num_bytes: 31569385
      num_examples: 19847
    - name: stack_exchange_clusteringP2P
      num_bytes: 396904176
      num_examples: 20000
    - name: reddit_clustering
      num_bytes: 33503316
      num_examples: 20000
    - name: reddit_clusteringP2P
      num_bytes: 356250663
      num_examples: 20000
    - name: stack_exchange_clustering
      num_bytes: 31565041
      num_examples: 20000
    - name: scidocsrr
      num_bytes: 323459083
      num_examples: 12655
  download_size: 56711582026
  dataset_size: 101777343737
configs:
  - config_name: default
    data_files:
      - split: twenty_news_groups
        path: data/twenty_news_groups-*
      - split: biorxiv_abstract
        path: data/biorxiv_abstract-*
      - split: medrxiv_abstract
        path: data/medrxiv_abstract-*
      - split: arxiv_title
        path: data/arxiv_title-*
      - split: arXiv_abstract
        path: data/arXiv_abstract-*
      - split: biorxiv_title
        path: data/biorxiv_title-*
      - split: medrxiv_title
        path: data/medrxiv_title-*
      - split: toxic_conversations_classification
        path: data/toxic_conversations_classification-*
      - split: amazon_counterfactual_classification
        path: data/amazon_counterfactual_classification-*
      - split: emotion_classification
        path: data/emotion_classification-*
      - split: banking_classification
        path: data/banking_classification-*
      - split: amazon_reviews_classification
        path: data/amazon_reviews_classification-*
      - split: mtop_intent_classification
        path: data/mtop_intent_classification-*
      - split: tweet_sentiment_extraction_classification
        path: data/tweet_sentiment_extraction_classification-*
      - split: imdb_classification
        path: data/imdb_classification-*
      - split: msmarco_passage
        path: data/msmarco_passage-*
      - split: hotpotqa
        path: data/hotpotqa-*
      - split: msmarco_document
        path: data/msmarco_document-*
      - split: nli
        path: data/nli-*
      - split: eli5
        path: data/eli5-*
      - split: squad
        path: data/squad-*
      - split: fiqa
        path: data/fiqa-*
      - split: nq
        path: data/nq-*
      - split: arguana
        path: data/arguana-*
      - split: trivial
        path: data/trivial-*
      - split: fever
        path: data/fever-*
      - split: quora
        path: data/quora-*
      - split: stack_overflow_dup_questions
        path: data/stack_overflow_dup_questions-*
      - split: stack_exchange_clusteringP2P
        path: data/stack_exchange_clusteringP2P-*
      - split: reddit_clustering
        path: data/reddit_clustering-*
      - split: reddit_clusteringP2P
        path: data/reddit_clusteringP2P-*
      - split: stack_exchange_clustering
        path: data/stack_exchange_clustering-*
      - split: scidocsrr
        path: data/scidocsrr-*