--- dataset_info: features: - name: query dtype: string - name: document dtype: string - name: negative sequence: string - name: dataset dtype: string splits: - name: msmarco_distillation_simlm_rescored_reranked_min15 num_bytes: 16562728203.994059 num_examples: 485721 - name: reddit_triples num_bytes: 6819852633.093508 num_examples: 200000 - name: medi_sts_flickr_sampled num_bytes: 1745404884.3876216 num_examples: 51186 - name: nq_cocondensor_hn_mine_reranked_min15 num_bytes: 2387016620.109059 num_examples: 70002 - name: nli_simcse_50negs_fixed num_bytes: 9397586432.087027 num_examples: 275595 - name: medi_sts_wiki_rephrasal num_bytes: 852481579.1366885 num_examples: 25000 - name: medi_supernli_sampled num_bytes: 6057359009.450488 num_examples: 177639 - name: fever_hn_mine num_bytes: 4776795280.53452 num_examples: 140085 - name: hotpotqa_hn_mine_shuffled num_bytes: 5796874738.129482 num_examples: 170000 - name: medi_sts_stackexchange_dupe num_bytes: 3430078981.0775456 num_examples: 100591 download_size: 29307519508 dataset_size: 57826178362.0 configs: - config_name: default data_files: - split: msmarco_distillation_simlm_rescored_reranked_min15 path: data/msmarco_distillation_simlm_rescored_reranked_min15-* - split: reddit_triples path: data/reddit_triples-* - split: medi_sts_flickr_sampled path: data/medi_sts_flickr_sampled-* - split: nq_cocondensor_hn_mine_reranked_min15 path: data/nq_cocondensor_hn_mine_reranked_min15-* - split: nli_simcse_50negs_fixed path: data/nli_simcse_50negs_fixed-* - split: medi_sts_wiki_rephrasal path: data/medi_sts_wiki_rephrasal-* - split: medi_supernli_sampled path: data/medi_supernli_sampled-* - split: fever_hn_mine path: data/fever_hn_mine-* - split: hotpotqa_hn_mine_shuffled path: data/hotpotqa_hn_mine_shuffled-* - split: medi_sts_stackexchange_dupe path: data/medi_sts_stackexchange_dupe-* ---