README.md

---
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: sts
    num_bytes: 22807166
    num_examples: 2006
  - 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: 56723381989
  dataset_size: 101800150903
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: sts
    path: data/sts-*
  - 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-*
---