--- dataset_info: - config_name: bm25 features: - name: query-id dtype: string - name: corpus-ids list: string splits: - name: NanoDAPFAMAllTitlAbsClmToFullText num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMAllTitlAbsClmToTitlAbs num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMAllTitlAbsClmToTitlAbsClm num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMAllTitlAbsToFullText num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMAllTitlAbsToTitlAbs num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMAllTitlAbsToTitlAbsClm num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMInTitlAbsClmToFullText num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMInTitlAbsClmToTitlAbs num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMInTitlAbsClmToTitlAbsClm num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMInTitlAbsToFullText num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMInTitlAbsToTitlAbs num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMInTitlAbsToTitlAbsClm num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMOutTitlAbsClmToFullText num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMOutTitlAbsClmToTitlAbs num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMOutTitlAbsClmToTitlAbsClm num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMOutTitlAbsToFullText num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMOutTitlAbsToTitlAbs num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMOutTitlAbsToTitlAbsClm num_bytes: 2305400 num_examples: 200 download_size: 41517852 dataset_size: 41497200 - config_name: corpus features: - name: _id dtype: string - name: text dtype: string splits: - name: NanoDAPFAMAllTitlAbsClmToFullText num_bytes: 711884881 num_examples: 10000 - name: NanoDAPFAMAllTitlAbsClmToTitlAbs num_bytes: 8050780 num_examples: 10000 - name: NanoDAPFAMAllTitlAbsClmToTitlAbsClm num_bytes: 72592289 num_examples: 10000 - name: NanoDAPFAMAllTitlAbsToFullText num_bytes: 712513366 num_examples: 10000 - name: NanoDAPFAMAllTitlAbsToTitlAbs num_bytes: 8051686 num_examples: 10000 - name: NanoDAPFAMAllTitlAbsToTitlAbsClm num_bytes: 72607584 num_examples: 10000 - name: NanoDAPFAMInTitlAbsClmToFullText num_bytes: 690386396 num_examples: 10000 - name: NanoDAPFAMInTitlAbsClmToTitlAbs num_bytes: 8050510 num_examples: 10000 - name: NanoDAPFAMInTitlAbsClmToTitlAbsClm num_bytes: 72554709 num_examples: 10000 - name: NanoDAPFAMInTitlAbsToFullText num_bytes: 690569290 num_examples: 10000 - name: NanoDAPFAMInTitlAbsToTitlAbs num_bytes: 8049306 num_examples: 10000 - name: NanoDAPFAMInTitlAbsToTitlAbsClm num_bytes: 72566466 num_examples: 10000 - name: NanoDAPFAMOutTitlAbsClmToFullText num_bytes: 720451050 num_examples: 10000 - name: NanoDAPFAMOutTitlAbsClmToTitlAbs num_bytes: 8051473 num_examples: 10000 - name: NanoDAPFAMOutTitlAbsClmToTitlAbsClm num_bytes: 72875740 num_examples: 10000 - name: NanoDAPFAMOutTitlAbsToFullText num_bytes: 720451050 num_examples: 10000 - name: NanoDAPFAMOutTitlAbsToTitlAbs num_bytes: 8051473 num_examples: 10000 - name: NanoDAPFAMOutTitlAbsToTitlAbsClm num_bytes: 72875740 num_examples: 10000 download_size: 1676266362 dataset_size: 4730633789 - config_name: harrier_oss_v1_270m features: - name: query-id dtype: string - name: corpus-ids list: string splits: - name: NanoDAPFAMAllTitlAbsClmToFullText num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMAllTitlAbsClmToTitlAbs num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMAllTitlAbsClmToTitlAbsClm num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMAllTitlAbsToFullText num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMAllTitlAbsToTitlAbs num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMAllTitlAbsToTitlAbsClm num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMInTitlAbsClmToFullText num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMInTitlAbsClmToTitlAbs num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMInTitlAbsClmToTitlAbsClm num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMInTitlAbsToFullText num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMInTitlAbsToTitlAbs num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMInTitlAbsToTitlAbsClm num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMOutTitlAbsClmToFullText num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMOutTitlAbsClmToTitlAbs num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMOutTitlAbsClmToTitlAbsClm num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMOutTitlAbsToFullText num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMOutTitlAbsToTitlAbs num_bytes: 2305400 num_examples: 200 - name: NanoDAPFAMOutTitlAbsToTitlAbsClm num_bytes: 2305400 num_examples: 200 download_size: 41517957 dataset_size: 41497200 - config_name: qrels features: - name: query-id dtype: string - name: corpus-id dtype: string splits: - name: NanoDAPFAMAllTitlAbsClmToFullText num_bytes: 183494 num_examples: 3989 - name: NanoDAPFAMAllTitlAbsClmToTitlAbs num_bytes: 183126 num_examples: 3981 - name: NanoDAPFAMAllTitlAbsClmToTitlAbsClm num_bytes: 183494 num_examples: 3989 - name: NanoDAPFAMAllTitlAbsToFullText num_bytes: 183494 num_examples: 3989 - name: NanoDAPFAMAllTitlAbsToTitlAbs num_bytes: 183172 num_examples: 3982 - name: NanoDAPFAMAllTitlAbsToTitlAbsClm num_bytes: 183494 num_examples: 3989 - name: NanoDAPFAMInTitlAbsClmToFullText num_bytes: 141174 num_examples: 3069 - name: NanoDAPFAMInTitlAbsClmToTitlAbs num_bytes: 140852 num_examples: 3062 - name: NanoDAPFAMInTitlAbsClmToTitlAbsClm num_bytes: 141174 num_examples: 3069 - name: NanoDAPFAMInTitlAbsToFullText num_bytes: 141312 num_examples: 3072 - name: NanoDAPFAMInTitlAbsToTitlAbs num_bytes: 141036 num_examples: 3066 - name: NanoDAPFAMInTitlAbsToTitlAbsClm num_bytes: 141312 num_examples: 3072 - name: NanoDAPFAMOutTitlAbsClmToFullText num_bytes: 57914 num_examples: 1259 - name: NanoDAPFAMOutTitlAbsClmToTitlAbs num_bytes: 57822 num_examples: 1257 - name: NanoDAPFAMOutTitlAbsClmToTitlAbsClm num_bytes: 57914 num_examples: 1259 - name: NanoDAPFAMOutTitlAbsToFullText num_bytes: 57914 num_examples: 1259 - name: NanoDAPFAMOutTitlAbsToTitlAbs num_bytes: 57822 num_examples: 1257 - name: NanoDAPFAMOutTitlAbsToTitlAbsClm num_bytes: 57914 num_examples: 1259 download_size: 867924 dataset_size: 2294434 - config_name: queries features: - name: _id dtype: string - name: text dtype: string splits: - name: NanoDAPFAMAllTitlAbsClmToFullText num_bytes: 1673606 num_examples: 200 - name: NanoDAPFAMAllTitlAbsClmToTitlAbs num_bytes: 1673606 num_examples: 200 - name: NanoDAPFAMAllTitlAbsClmToTitlAbsClm num_bytes: 1673606 num_examples: 200 - name: NanoDAPFAMAllTitlAbsToFullText num_bytes: 160633 num_examples: 200 - name: NanoDAPFAMAllTitlAbsToTitlAbs num_bytes: 160633 num_examples: 200 - name: NanoDAPFAMAllTitlAbsToTitlAbsClm num_bytes: 160633 num_examples: 200 - name: NanoDAPFAMInTitlAbsClmToFullText num_bytes: 1686804 num_examples: 200 - name: NanoDAPFAMInTitlAbsClmToTitlAbs num_bytes: 1686804 num_examples: 200 - name: NanoDAPFAMInTitlAbsClmToTitlAbsClm num_bytes: 1686804 num_examples: 200 - name: NanoDAPFAMInTitlAbsToFullText num_bytes: 159690 num_examples: 200 - name: NanoDAPFAMInTitlAbsToTitlAbs num_bytes: 159690 num_examples: 200 - name: NanoDAPFAMInTitlAbsToTitlAbsClm num_bytes: 159690 num_examples: 200 - name: NanoDAPFAMOutTitlAbsClmToFullText num_bytes: 1868815 num_examples: 200 - name: NanoDAPFAMOutTitlAbsClmToTitlAbs num_bytes: 1868815 num_examples: 200 - name: NanoDAPFAMOutTitlAbsClmToTitlAbsClm num_bytes: 1868815 num_examples: 200 - name: NanoDAPFAMOutTitlAbsToFullText num_bytes: 162752 num_examples: 200 - name: NanoDAPFAMOutTitlAbsToTitlAbs num_bytes: 162752 num_examples: 200 - name: NanoDAPFAMOutTitlAbsToTitlAbsClm num_bytes: 162752 num_examples: 200 download_size: 5450175 dataset_size: 17136900 - config_name: reranking_hybrid features: - name: query-id dtype: string - name: corpus-ids list: string splits: - name: NanoDAPFAMAllTitlAbsClmToFullText num_bytes: 465538 num_examples: 200 - name: NanoDAPFAMAllTitlAbsClmToTitlAbs num_bytes: 465584 num_examples: 200 - name: NanoDAPFAMAllTitlAbsClmToTitlAbsClm num_bytes: 465561 num_examples: 200 - name: NanoDAPFAMAllTitlAbsToFullText num_bytes: 465492 num_examples: 200 - name: NanoDAPFAMAllTitlAbsToTitlAbs num_bytes: 465584 num_examples: 200 - name: NanoDAPFAMAllTitlAbsToTitlAbsClm num_bytes: 465538 num_examples: 200 - name: NanoDAPFAMInTitlAbsClmToFullText num_bytes: 465561 num_examples: 200 - name: NanoDAPFAMInTitlAbsClmToTitlAbs num_bytes: 465630 num_examples: 200 - name: NanoDAPFAMInTitlAbsClmToTitlAbsClm num_bytes: 465561 num_examples: 200 - name: NanoDAPFAMInTitlAbsToFullText num_bytes: 465515 num_examples: 200 - name: NanoDAPFAMInTitlAbsToTitlAbs num_bytes: 465607 num_examples: 200 - name: NanoDAPFAMInTitlAbsToTitlAbsClm num_bytes: 465515 num_examples: 200 - name: NanoDAPFAMOutTitlAbsClmToFullText num_bytes: 466895 num_examples: 200 - name: NanoDAPFAMOutTitlAbsClmToTitlAbs num_bytes: 467171 num_examples: 200 - name: NanoDAPFAMOutTitlAbsClmToTitlAbsClm num_bytes: 467056 num_examples: 200 - name: NanoDAPFAMOutTitlAbsToFullText num_bytes: 467102 num_examples: 200 - name: NanoDAPFAMOutTitlAbsToTitlAbs num_bytes: 467148 num_examples: 200 - name: NanoDAPFAMOutTitlAbsToTitlAbsClm num_bytes: 467148 num_examples: 200 download_size: 8403151 dataset_size: 8389206 configs: - config_name: bm25 data_files: - split: NanoDAPFAMAllTitlAbsClmToFullText path: bm25/NanoDAPFAMAllTitlAbsClmToFullText-* - split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm path: bm25/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMAllTitlAbsClmToTitlAbs path: bm25/NanoDAPFAMAllTitlAbsClmToTitlAbs-* - split: NanoDAPFAMAllTitlAbsToFullText path: bm25/NanoDAPFAMAllTitlAbsToFullText-* - split: NanoDAPFAMAllTitlAbsToTitlAbsClm path: bm25/NanoDAPFAMAllTitlAbsToTitlAbsClm-* - split: NanoDAPFAMAllTitlAbsToTitlAbs path: bm25/NanoDAPFAMAllTitlAbsToTitlAbs-* - split: NanoDAPFAMInTitlAbsClmToFullText path: bm25/NanoDAPFAMInTitlAbsClmToFullText-* - split: NanoDAPFAMInTitlAbsClmToTitlAbsClm path: bm25/NanoDAPFAMInTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMInTitlAbsClmToTitlAbs path: bm25/NanoDAPFAMInTitlAbsClmToTitlAbs-* - split: NanoDAPFAMInTitlAbsToFullText path: bm25/NanoDAPFAMInTitlAbsToFullText-* - split: NanoDAPFAMInTitlAbsToTitlAbsClm path: bm25/NanoDAPFAMInTitlAbsToTitlAbsClm-* - split: NanoDAPFAMInTitlAbsToTitlAbs path: bm25/NanoDAPFAMInTitlAbsToTitlAbs-* - split: NanoDAPFAMOutTitlAbsClmToFullText path: bm25/NanoDAPFAMOutTitlAbsClmToFullText-* - split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm path: bm25/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMOutTitlAbsClmToTitlAbs path: bm25/NanoDAPFAMOutTitlAbsClmToTitlAbs-* - split: NanoDAPFAMOutTitlAbsToFullText path: bm25/NanoDAPFAMOutTitlAbsToFullText-* - split: NanoDAPFAMOutTitlAbsToTitlAbsClm path: bm25/NanoDAPFAMOutTitlAbsToTitlAbsClm-* - split: NanoDAPFAMOutTitlAbsToTitlAbs path: bm25/NanoDAPFAMOutTitlAbsToTitlAbs-* - config_name: corpus data_files: - split: NanoDAPFAMAllTitlAbsClmToFullText path: corpus/NanoDAPFAMAllTitlAbsClmToFullText-* - split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm path: corpus/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMAllTitlAbsClmToTitlAbs path: corpus/NanoDAPFAMAllTitlAbsClmToTitlAbs-* - split: NanoDAPFAMAllTitlAbsToFullText path: corpus/NanoDAPFAMAllTitlAbsToFullText-* - split: NanoDAPFAMAllTitlAbsToTitlAbsClm path: corpus/NanoDAPFAMAllTitlAbsToTitlAbsClm-* - split: NanoDAPFAMAllTitlAbsToTitlAbs path: corpus/NanoDAPFAMAllTitlAbsToTitlAbs-* - split: NanoDAPFAMInTitlAbsClmToFullText path: corpus/NanoDAPFAMInTitlAbsClmToFullText-* - split: NanoDAPFAMInTitlAbsClmToTitlAbsClm path: corpus/NanoDAPFAMInTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMInTitlAbsClmToTitlAbs path: corpus/NanoDAPFAMInTitlAbsClmToTitlAbs-* - split: NanoDAPFAMInTitlAbsToFullText path: corpus/NanoDAPFAMInTitlAbsToFullText-* - split: NanoDAPFAMInTitlAbsToTitlAbsClm path: corpus/NanoDAPFAMInTitlAbsToTitlAbsClm-* - split: NanoDAPFAMInTitlAbsToTitlAbs path: corpus/NanoDAPFAMInTitlAbsToTitlAbs-* - split: NanoDAPFAMOutTitlAbsClmToFullText path: corpus/NanoDAPFAMOutTitlAbsClmToFullText-* - split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm path: corpus/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMOutTitlAbsClmToTitlAbs path: corpus/NanoDAPFAMOutTitlAbsClmToTitlAbs-* - split: NanoDAPFAMOutTitlAbsToFullText path: corpus/NanoDAPFAMOutTitlAbsToFullText-* - split: NanoDAPFAMOutTitlAbsToTitlAbsClm path: corpus/NanoDAPFAMOutTitlAbsToTitlAbsClm-* - split: NanoDAPFAMOutTitlAbsToTitlAbs path: corpus/NanoDAPFAMOutTitlAbsToTitlAbs-* - config_name: harrier_oss_v1_270m data_files: - split: NanoDAPFAMAllTitlAbsClmToFullText path: harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsClmToFullText-* - split: NanoDAPFAMAllTitlAbsClmToTitlAbs path: harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsClmToTitlAbs-* - split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm path: harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMAllTitlAbsToFullText path: harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsToFullText-* - split: NanoDAPFAMAllTitlAbsToTitlAbs path: harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsToTitlAbs-* - split: NanoDAPFAMAllTitlAbsToTitlAbsClm path: harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsToTitlAbsClm-* - split: NanoDAPFAMInTitlAbsClmToFullText path: harrier_oss_v1_270m/NanoDAPFAMInTitlAbsClmToFullText-* - split: NanoDAPFAMInTitlAbsClmToTitlAbs path: harrier_oss_v1_270m/NanoDAPFAMInTitlAbsClmToTitlAbs-* - split: NanoDAPFAMInTitlAbsClmToTitlAbsClm path: harrier_oss_v1_270m/NanoDAPFAMInTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMInTitlAbsToFullText path: harrier_oss_v1_270m/NanoDAPFAMInTitlAbsToFullText-* - split: NanoDAPFAMInTitlAbsToTitlAbs path: harrier_oss_v1_270m/NanoDAPFAMInTitlAbsToTitlAbs-* - split: NanoDAPFAMInTitlAbsToTitlAbsClm path: harrier_oss_v1_270m/NanoDAPFAMInTitlAbsToTitlAbsClm-* - split: NanoDAPFAMOutTitlAbsClmToFullText path: harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsClmToFullText-* - split: NanoDAPFAMOutTitlAbsClmToTitlAbs path: harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsClmToTitlAbs-* - split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm path: harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMOutTitlAbsToFullText path: harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsToFullText-* - split: NanoDAPFAMOutTitlAbsToTitlAbs path: harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsToTitlAbs-* - split: NanoDAPFAMOutTitlAbsToTitlAbsClm path: harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsToTitlAbsClm-* - config_name: qrels data_files: - split: NanoDAPFAMAllTitlAbsClmToFullText path: qrels/NanoDAPFAMAllTitlAbsClmToFullText-* - split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm path: qrels/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMAllTitlAbsClmToTitlAbs path: qrels/NanoDAPFAMAllTitlAbsClmToTitlAbs-* - split: NanoDAPFAMAllTitlAbsToFullText path: qrels/NanoDAPFAMAllTitlAbsToFullText-* - split: NanoDAPFAMAllTitlAbsToTitlAbsClm path: qrels/NanoDAPFAMAllTitlAbsToTitlAbsClm-* - split: NanoDAPFAMAllTitlAbsToTitlAbs path: qrels/NanoDAPFAMAllTitlAbsToTitlAbs-* - split: NanoDAPFAMInTitlAbsClmToFullText path: qrels/NanoDAPFAMInTitlAbsClmToFullText-* - split: NanoDAPFAMInTitlAbsClmToTitlAbsClm path: qrels/NanoDAPFAMInTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMInTitlAbsClmToTitlAbs path: qrels/NanoDAPFAMInTitlAbsClmToTitlAbs-* - split: NanoDAPFAMInTitlAbsToFullText path: qrels/NanoDAPFAMInTitlAbsToFullText-* - split: NanoDAPFAMInTitlAbsToTitlAbsClm path: qrels/NanoDAPFAMInTitlAbsToTitlAbsClm-* - split: NanoDAPFAMInTitlAbsToTitlAbs path: qrels/NanoDAPFAMInTitlAbsToTitlAbs-* - split: NanoDAPFAMOutTitlAbsClmToFullText path: qrels/NanoDAPFAMOutTitlAbsClmToFullText-* - split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm path: qrels/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMOutTitlAbsClmToTitlAbs path: qrels/NanoDAPFAMOutTitlAbsClmToTitlAbs-* - split: NanoDAPFAMOutTitlAbsToFullText path: qrels/NanoDAPFAMOutTitlAbsToFullText-* - split: NanoDAPFAMOutTitlAbsToTitlAbsClm path: qrels/NanoDAPFAMOutTitlAbsToTitlAbsClm-* - split: NanoDAPFAMOutTitlAbsToTitlAbs path: qrels/NanoDAPFAMOutTitlAbsToTitlAbs-* - config_name: queries data_files: - split: NanoDAPFAMAllTitlAbsClmToFullText path: queries/NanoDAPFAMAllTitlAbsClmToFullText-* - split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm path: queries/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMAllTitlAbsClmToTitlAbs path: queries/NanoDAPFAMAllTitlAbsClmToTitlAbs-* - split: NanoDAPFAMAllTitlAbsToFullText path: queries/NanoDAPFAMAllTitlAbsToFullText-* - split: NanoDAPFAMAllTitlAbsToTitlAbsClm path: queries/NanoDAPFAMAllTitlAbsToTitlAbsClm-* - split: NanoDAPFAMAllTitlAbsToTitlAbs path: queries/NanoDAPFAMAllTitlAbsToTitlAbs-* - split: NanoDAPFAMInTitlAbsClmToFullText path: queries/NanoDAPFAMInTitlAbsClmToFullText-* - split: NanoDAPFAMInTitlAbsClmToTitlAbsClm path: queries/NanoDAPFAMInTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMInTitlAbsClmToTitlAbs path: queries/NanoDAPFAMInTitlAbsClmToTitlAbs-* - split: NanoDAPFAMInTitlAbsToFullText path: queries/NanoDAPFAMInTitlAbsToFullText-* - split: NanoDAPFAMInTitlAbsToTitlAbsClm path: queries/NanoDAPFAMInTitlAbsToTitlAbsClm-* - split: NanoDAPFAMInTitlAbsToTitlAbs path: queries/NanoDAPFAMInTitlAbsToTitlAbs-* - split: NanoDAPFAMOutTitlAbsClmToFullText path: queries/NanoDAPFAMOutTitlAbsClmToFullText-* - split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm path: queries/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMOutTitlAbsClmToTitlAbs path: queries/NanoDAPFAMOutTitlAbsClmToTitlAbs-* - split: NanoDAPFAMOutTitlAbsToFullText path: queries/NanoDAPFAMOutTitlAbsToFullText-* - split: NanoDAPFAMOutTitlAbsToTitlAbsClm path: queries/NanoDAPFAMOutTitlAbsToTitlAbsClm-* - split: NanoDAPFAMOutTitlAbsToTitlAbs path: queries/NanoDAPFAMOutTitlAbsToTitlAbs-* default: true - config_name: reranking_hybrid data_files: - split: NanoDAPFAMAllTitlAbsClmToFullText path: reranking_hybrid/NanoDAPFAMAllTitlAbsClmToFullText-* - split: NanoDAPFAMAllTitlAbsClmToTitlAbs path: reranking_hybrid/NanoDAPFAMAllTitlAbsClmToTitlAbs-* - split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm path: reranking_hybrid/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMAllTitlAbsToFullText path: reranking_hybrid/NanoDAPFAMAllTitlAbsToFullText-* - split: NanoDAPFAMAllTitlAbsToTitlAbs path: reranking_hybrid/NanoDAPFAMAllTitlAbsToTitlAbs-* - split: NanoDAPFAMAllTitlAbsToTitlAbsClm path: reranking_hybrid/NanoDAPFAMAllTitlAbsToTitlAbsClm-* - split: NanoDAPFAMInTitlAbsClmToFullText path: reranking_hybrid/NanoDAPFAMInTitlAbsClmToFullText-* - split: NanoDAPFAMInTitlAbsClmToTitlAbs path: reranking_hybrid/NanoDAPFAMInTitlAbsClmToTitlAbs-* - split: NanoDAPFAMInTitlAbsClmToTitlAbsClm path: reranking_hybrid/NanoDAPFAMInTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMInTitlAbsToFullText path: reranking_hybrid/NanoDAPFAMInTitlAbsToFullText-* - split: NanoDAPFAMInTitlAbsToTitlAbs path: reranking_hybrid/NanoDAPFAMInTitlAbsToTitlAbs-* - split: NanoDAPFAMInTitlAbsToTitlAbsClm path: reranking_hybrid/NanoDAPFAMInTitlAbsToTitlAbsClm-* - split: NanoDAPFAMOutTitlAbsClmToFullText path: reranking_hybrid/NanoDAPFAMOutTitlAbsClmToFullText-* - split: NanoDAPFAMOutTitlAbsClmToTitlAbs path: reranking_hybrid/NanoDAPFAMOutTitlAbsClmToTitlAbs-* - split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm path: reranking_hybrid/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-* - split: NanoDAPFAMOutTitlAbsToFullText path: reranking_hybrid/NanoDAPFAMOutTitlAbsToFullText-* - split: NanoDAPFAMOutTitlAbsToTitlAbs path: reranking_hybrid/NanoDAPFAMOutTitlAbsToTitlAbs-* - split: NanoDAPFAMOutTitlAbsToTitlAbsClm path: reranking_hybrid/NanoDAPFAMOutTitlAbsToTitlAbsClm-* --- # NanoDAPFAM This dataset is a Nano-style retrieval dataset. Nano-series evaluation can be run easily with [HAKARI-Bench](https://github.com/hotchpotch/hakari-bench). NanoDAPFAM is derived from DAPFAM. It follows the Hugging Face Datasets layout convention used by [sentence-transformers/NanoBEIR-en](https://huggingface.co/datasets/sentence-transformers/NanoBEIR-en): each Nano split has separate `corpus`, `queries`, and `qrels` tables, and BM25 candidates are provided separately in a `bm25` table. This layout follows the NanoBEIR-style evaluation approach summarized in [NanoBEIR](https://huggingface.co/blog/sionic-ai/eval-sionic-nano-beir). NanoDAPFAM contains 18 Nano retrieval splits derived from DAPFAM. Each split keeps up to 200 eligible queries and up to 10000 corpus documents, with exact duplicate query and document text removed where the generator records that policy. ## Source Links - Source benchmark: `DAPFAM` - Source benchmark repository: https://github.com/embeddings-benchmark/mteb - `datalyes/DAPFAM_patent`: https://huggingface.co/datasets/datalyes/DAPFAM_patent ## Data Layout This dataset uses four Hugging Face Datasets configs: - `corpus`: documents with `_id` and `text` - `queries`: queries with `_id` and `text` - `qrels`: positive relevance labels with `query-id` and `corpus-id` - `bm25`: BM25 candidate lists with `query-id` and `corpus-ids` Each config uses the same Nano split names. If the actual generated dataset uses a different schema, config name, path layout, or field name, revise this section before publishing the README. ## Construction Steps This dataset was built as follows. If the actual generation procedure differs, revise this section before publishing the README. 1. Use DAPFAM as the upstream benchmark or dataset family. 2. Load the source datasets recorded in `manifest.json` and per-split metadata files. 3. Use the evaluation splits selected by `scripts/create_mteb_nano_series_local.py` as the source evaluation split policy. 4. Create one Nano split for each selected source retrieval task. 5. Keep up to 200 eligible queries per Nano split. 6. Include qrels-positive documents for the selected queries. For graded qrels, only rows with `score > 0` are treated as positive. 7. Fill the corpus from source corpus order up to 10000 documents. 8. Remove exact duplicate document text within each split. If a removed duplicate was referenced by qrels, rewrite qrels to the kept document id when the generator records that policy. 9. Store document title and body as a single `text` field when the source provides both. 10. Generate BM25 top-100 candidates with the tokenization policy recorded per split. 11. If a qrels-positive document is missing from the raw BM25 result, insert it into the final `bm25` candidate list by replacing a tail non-positive candidate. ## BM25 Subset Policy The `bm25` config is a candidate subset for first-stage retrieval and reranking. It is not a separate source dataset. Each row contains one query id and a ranked list of corpus ids. BM25 candidates are generated from the selected corpus for each split. The configured candidate cap is top-100. When a qrels-positive document is not present in the raw BM25 result, the missing positive is forced into the final candidate list by replacing a tail candidate that is not positive for that query. Candidate ids are kept unique after replacement. ## Split Mapping | Nano split | Source task | Source dataset | Queries | Corpus | Qrels | |---|---|---|---:|---:|---:| | `NanoDAPFAMAllTitlAbsClmToFullText` | `DAPFAMAllTitlAbsClmToFullTextRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 3989 | | `NanoDAPFAMAllTitlAbsClmToTitlAbsClm` | `DAPFAMAllTitlAbsClmToTitlAbsClmRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 3989 | | `NanoDAPFAMAllTitlAbsClmToTitlAbs` | `DAPFAMAllTitlAbsClmToTitlAbsRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 3981 | | `NanoDAPFAMAllTitlAbsToFullText` | `DAPFAMAllTitlAbsToFullTextRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 3989 | | `NanoDAPFAMAllTitlAbsToTitlAbsClm` | `DAPFAMAllTitlAbsToTitlAbsClmRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 3989 | | `NanoDAPFAMAllTitlAbsToTitlAbs` | `DAPFAMAllTitlAbsToTitlAbsRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 3982 | | `NanoDAPFAMInTitlAbsClmToFullText` | `DAPFAMInTitlAbsClmToFullTextRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 3069 | | `NanoDAPFAMInTitlAbsClmToTitlAbsClm` | `DAPFAMInTitlAbsClmToTitlAbsClmRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 3069 | | `NanoDAPFAMInTitlAbsClmToTitlAbs` | `DAPFAMInTitlAbsClmToTitlAbsRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 3062 | | `NanoDAPFAMInTitlAbsToFullText` | `DAPFAMInTitlAbsToFullTextRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 3072 | | `NanoDAPFAMInTitlAbsToTitlAbsClm` | `DAPFAMInTitlAbsToTitlAbsClmRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 3072 | | `NanoDAPFAMInTitlAbsToTitlAbs` | `DAPFAMInTitlAbsToTitlAbsRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 3066 | | `NanoDAPFAMOutTitlAbsClmToFullText` | `DAPFAMOutTitlAbsClmToFullTextRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 1259 | | `NanoDAPFAMOutTitlAbsClmToTitlAbsClm` | `DAPFAMOutTitlAbsClmToTitlAbsClmRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 1259 | | `NanoDAPFAMOutTitlAbsClmToTitlAbs` | `DAPFAMOutTitlAbsClmToTitlAbsRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 1257 | | `NanoDAPFAMOutTitlAbsToFullText` | `DAPFAMOutTitlAbsToFullTextRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 1259 | | `NanoDAPFAMOutTitlAbsToTitlAbsClm` | `DAPFAMOutTitlAbsToTitlAbsClmRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 1259 | | `NanoDAPFAMOutTitlAbsToTitlAbs` | `DAPFAMOutTitlAbsToTitlAbsRetrieval` | `datalyes/DAPFAM_patent` | 200 | 10000 | 1257 | ## BM25 nDCG@10 `nDCG@10` is computed from the included BM25 ranking against the included qrels. Tokenizer policy summary: `stemmer:en`. | Nano split | Tokenizer | Forced BM25 positives | BM25 nDCG@10 | |---|---|---:|---:| | `NanoDAPFAMAllTitlAbsClmToFullText` | `stemmer:en` | 2219 | 0.3431 | | `NanoDAPFAMAllTitlAbsClmToTitlAbsClm` | `stemmer:en` | 2361 | 0.3228 | | `NanoDAPFAMAllTitlAbsClmToTitlAbs` | `stemmer:en` | 2667 | 0.2468 | | `NanoDAPFAMAllTitlAbsToFullText` | `stemmer:en` | 2155 | 0.3538 | | `NanoDAPFAMAllTitlAbsToTitlAbsClm` | `stemmer:en` | 2330 | 0.3319 | | `NanoDAPFAMAllTitlAbsToTitlAbs` | `stemmer:en` | 2512 | 0.3053 | | `NanoDAPFAMInTitlAbsClmToFullText` | `stemmer:en` | 1393 | 0.3549 | | `NanoDAPFAMInTitlAbsClmToTitlAbsClm` | `stemmer:en` | 1539 | 0.3329 | | `NanoDAPFAMInTitlAbsClmToTitlAbs` | `stemmer:en` | 1828 | 0.2588 | | `NanoDAPFAMInTitlAbsToFullText` | `stemmer:en` | 1363 | 0.3622 | | `NanoDAPFAMInTitlAbsToTitlAbsClm` | `stemmer:en` | 1538 | 0.3397 | | `NanoDAPFAMInTitlAbsToTitlAbs` | `stemmer:en` | 1710 | 0.3142 | | `NanoDAPFAMOutTitlAbsClmToFullText` | `stemmer:en` | 1029 | 0.0464 | | `NanoDAPFAMOutTitlAbsClmToTitlAbsClm` | `stemmer:en` | 1067 | 0.0582 | | `NanoDAPFAMOutTitlAbsClmToTitlAbs` | `stemmer:en` | 1120 | 0.0331 | | `NanoDAPFAMOutTitlAbsToFullText` | `stemmer:en` | 1023 | 0.0555 | | `NanoDAPFAMOutTitlAbsToTitlAbsClm` | `stemmer:en` | 1055 | 0.0692 | | `NanoDAPFAMOutTitlAbsToTitlAbs` | `stemmer:en` | 1077 | 0.0517 | ## Skipped Tasks No source tasks were skipped. ## License NanoDAPFAM is a derived dataset. Users must comply with the licenses, terms, and attribution requirements of the upstream datasets and benchmarks.