--- 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: corpus data_files: - split: NanoDAPFAMAllTitlAbsClmToFullText path: - corpus/NanoDAPFAMAllTitlAbsClmToFullText-00000-of-00002.parquet - corpus/NanoDAPFAMAllTitlAbsClmToFullText-00001-of-00002.parquet - split: NanoDAPFAMAllTitlAbsClmToTitlAbs path: corpus/NanoDAPFAMAllTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm path: corpus/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToFullText path: - corpus/NanoDAPFAMAllTitlAbsToFullText-00000-of-00002.parquet - corpus/NanoDAPFAMAllTitlAbsToFullText-00001-of-00002.parquet - split: NanoDAPFAMAllTitlAbsToTitlAbs path: corpus/NanoDAPFAMAllTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToTitlAbsClm path: corpus/NanoDAPFAMAllTitlAbsToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToFullText path: - corpus/NanoDAPFAMInTitlAbsClmToFullText-00000-of-00002.parquet - corpus/NanoDAPFAMInTitlAbsClmToFullText-00001-of-00002.parquet - split: NanoDAPFAMInTitlAbsClmToTitlAbs path: corpus/NanoDAPFAMInTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToTitlAbsClm path: corpus/NanoDAPFAMInTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToFullText path: - corpus/NanoDAPFAMInTitlAbsToFullText-00000-of-00002.parquet - corpus/NanoDAPFAMInTitlAbsToFullText-00001-of-00002.parquet - split: NanoDAPFAMInTitlAbsToTitlAbs path: corpus/NanoDAPFAMInTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToTitlAbsClm path: corpus/NanoDAPFAMInTitlAbsToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToFullText path: - corpus/NanoDAPFAMOutTitlAbsClmToFullText-00000-of-00002.parquet - corpus/NanoDAPFAMOutTitlAbsClmToFullText-00001-of-00002.parquet - split: NanoDAPFAMOutTitlAbsClmToTitlAbs path: corpus/NanoDAPFAMOutTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm path: corpus/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToFullText path: - corpus/NanoDAPFAMOutTitlAbsToFullText-00000-of-00002.parquet - corpus/NanoDAPFAMOutTitlAbsToFullText-00001-of-00002.parquet - split: NanoDAPFAMOutTitlAbsToTitlAbs path: corpus/NanoDAPFAMOutTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToTitlAbsClm path: corpus/NanoDAPFAMOutTitlAbsToTitlAbsClm-00000-of-00001.parquet - config_name: queries data_files: - split: NanoDAPFAMAllTitlAbsClmToFullText path: queries/NanoDAPFAMAllTitlAbsClmToFullText-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsClmToTitlAbs path: queries/NanoDAPFAMAllTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm path: queries/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToFullText path: queries/NanoDAPFAMAllTitlAbsToFullText-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToTitlAbs path: queries/NanoDAPFAMAllTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToTitlAbsClm path: queries/NanoDAPFAMAllTitlAbsToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToFullText path: queries/NanoDAPFAMInTitlAbsClmToFullText-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToTitlAbs path: queries/NanoDAPFAMInTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToTitlAbsClm path: queries/NanoDAPFAMInTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToFullText path: queries/NanoDAPFAMInTitlAbsToFullText-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToTitlAbs path: queries/NanoDAPFAMInTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToTitlAbsClm path: queries/NanoDAPFAMInTitlAbsToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToFullText path: queries/NanoDAPFAMOutTitlAbsClmToFullText-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToTitlAbs path: queries/NanoDAPFAMOutTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm path: queries/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToFullText path: queries/NanoDAPFAMOutTitlAbsToFullText-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToTitlAbs path: queries/NanoDAPFAMOutTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToTitlAbsClm path: queries/NanoDAPFAMOutTitlAbsToTitlAbsClm-00000-of-00001.parquet default: true - config_name: qrels data_files: - split: NanoDAPFAMAllTitlAbsClmToFullText path: qrels/NanoDAPFAMAllTitlAbsClmToFullText-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsClmToTitlAbs path: qrels/NanoDAPFAMAllTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm path: qrels/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToFullText path: qrels/NanoDAPFAMAllTitlAbsToFullText-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToTitlAbs path: qrels/NanoDAPFAMAllTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToTitlAbsClm path: qrels/NanoDAPFAMAllTitlAbsToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToFullText path: qrels/NanoDAPFAMInTitlAbsClmToFullText-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToTitlAbs path: qrels/NanoDAPFAMInTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToTitlAbsClm path: qrels/NanoDAPFAMInTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToFullText path: qrels/NanoDAPFAMInTitlAbsToFullText-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToTitlAbs path: qrels/NanoDAPFAMInTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToTitlAbsClm path: qrels/NanoDAPFAMInTitlAbsToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToFullText path: qrels/NanoDAPFAMOutTitlAbsClmToFullText-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToTitlAbs path: qrels/NanoDAPFAMOutTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm path: qrels/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToFullText path: qrels/NanoDAPFAMOutTitlAbsToFullText-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToTitlAbs path: qrels/NanoDAPFAMOutTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToTitlAbsClm path: qrels/NanoDAPFAMOutTitlAbsToTitlAbsClm-00000-of-00001.parquet - config_name: bm25 data_files: - split: NanoDAPFAMAllTitlAbsClmToFullText path: bm25/NanoDAPFAMAllTitlAbsClmToFullText-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsClmToTitlAbs path: bm25/NanoDAPFAMAllTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm path: bm25/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToFullText path: bm25/NanoDAPFAMAllTitlAbsToFullText-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToTitlAbs path: bm25/NanoDAPFAMAllTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToTitlAbsClm path: bm25/NanoDAPFAMAllTitlAbsToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToFullText path: bm25/NanoDAPFAMInTitlAbsClmToFullText-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToTitlAbs path: bm25/NanoDAPFAMInTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToTitlAbsClm path: bm25/NanoDAPFAMInTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToFullText path: bm25/NanoDAPFAMInTitlAbsToFullText-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToTitlAbs path: bm25/NanoDAPFAMInTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToTitlAbsClm path: bm25/NanoDAPFAMInTitlAbsToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToFullText path: bm25/NanoDAPFAMOutTitlAbsClmToFullText-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToTitlAbs path: bm25/NanoDAPFAMOutTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm path: bm25/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToFullText path: bm25/NanoDAPFAMOutTitlAbsToFullText-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToTitlAbs path: bm25/NanoDAPFAMOutTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToTitlAbsClm path: bm25/NanoDAPFAMOutTitlAbsToTitlAbsClm-00000-of-00001.parquet - config_name: harrier_oss_v1_270m data_files: - split: NanoDAPFAMAllTitlAbsClmToFullText path: harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsClmToFullText-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsClmToTitlAbs path: harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm path: harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToFullText path: harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsToFullText-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToTitlAbs path: harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToTitlAbsClm path: harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToFullText path: harrier_oss_v1_270m/NanoDAPFAMInTitlAbsClmToFullText-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToTitlAbs path: harrier_oss_v1_270m/NanoDAPFAMInTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToTitlAbsClm path: harrier_oss_v1_270m/NanoDAPFAMInTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToFullText path: harrier_oss_v1_270m/NanoDAPFAMInTitlAbsToFullText-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToTitlAbs path: harrier_oss_v1_270m/NanoDAPFAMInTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToTitlAbsClm path: harrier_oss_v1_270m/NanoDAPFAMInTitlAbsToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToFullText path: harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsClmToFullText-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToTitlAbs path: harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm path: harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToFullText path: harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsToFullText-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToTitlAbs path: harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToTitlAbsClm path: harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsToTitlAbsClm-00000-of-00001.parquet - config_name: reranking_hybrid data_files: - split: NanoDAPFAMAllTitlAbsClmToFullText path: reranking_hybrid/NanoDAPFAMAllTitlAbsClmToFullText-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsClmToTitlAbs path: reranking_hybrid/NanoDAPFAMAllTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm path: reranking_hybrid/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToFullText path: reranking_hybrid/NanoDAPFAMAllTitlAbsToFullText-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToTitlAbs path: reranking_hybrid/NanoDAPFAMAllTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMAllTitlAbsToTitlAbsClm path: reranking_hybrid/NanoDAPFAMAllTitlAbsToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToFullText path: reranking_hybrid/NanoDAPFAMInTitlAbsClmToFullText-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToTitlAbs path: reranking_hybrid/NanoDAPFAMInTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsClmToTitlAbsClm path: reranking_hybrid/NanoDAPFAMInTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToFullText path: reranking_hybrid/NanoDAPFAMInTitlAbsToFullText-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToTitlAbs path: reranking_hybrid/NanoDAPFAMInTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMInTitlAbsToTitlAbsClm path: reranking_hybrid/NanoDAPFAMInTitlAbsToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToFullText path: reranking_hybrid/NanoDAPFAMOutTitlAbsClmToFullText-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToTitlAbs path: reranking_hybrid/NanoDAPFAMOutTitlAbsClmToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm path: reranking_hybrid/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToFullText path: reranking_hybrid/NanoDAPFAMOutTitlAbsToFullText-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToTitlAbs path: reranking_hybrid/NanoDAPFAMOutTitlAbsToTitlAbs-00000-of-00001.parquet - split: NanoDAPFAMOutTitlAbsToTitlAbsClm path: reranking_hybrid/NanoDAPFAMOutTitlAbsToTitlAbsClm-00000-of-00001.parquet tags: - information-retrieval - retrieval - nano - bm25 - dense-retrieval - reranking - hakari-bench --- # NanoDAPFAM This dataset is a Nano-style retrieval dataset for [HAKARI-bench](https://github.com/hakari-bench/hakari-bench). 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. ## Usage ```python from datasets import load_dataset dataset_id = "hakari-bench/NanoDAPFAM" split = "NanoDAPFAMAllTitlAbsClmToFullText" queries = load_dataset(dataset_id, "queries", split=split) corpus = load_dataset(dataset_id, "corpus", split=split) qrels = load_dataset(dataset_id, "qrels", split=split) reranking_candidates = load_dataset(dataset_id, "reranking_hybrid", split=split) ``` ## Data Layout This dataset uses six 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` - `harrier_oss_v1_270m`: dense candidate lists from `microsoft/harrier-oss-v1-270m` - `reranking_hybrid`: RRF candidate lists built from `bm25` and `harrier_oss_v1_270m` Each config has the same Nano split names. ## Candidate Construction - `bm25`: local BM25 top-500 with automatic language-aware tokenization. The resolved tokenizer is shown in the Candidate Quality table, for example `wordseg@ja`. - `harrier_oss_v1_270m`: dense top-500 from `microsoft/harrier-oss-v1-270m`. In tables this is shown as `Dense`; Dense means `microsoft/harrier-oss-v1-270m` with the `web_search_query` prompt for queries and cosine similarity over normalized embeddings. - `reranking_hybrid`: RRF over `bm25` and `harrier_oss_v1_270m` using `rrf_k=100`, keeping the RRF top-100. Safeguard means rank 101 is appended only when RRF top-100 contains no qrels-positive document. ## Split Statistics Length statistics are character counts computed with `len(str(text))`. | Nano split | Queries | Corpus | Qrels | Query chars avg | Query chars p50 | Query chars p75 | Doc chars avg | Doc chars p50 | Doc chars p75 | |---|---:|---:|---:|---:|---:|---:|---:|---:|---:| | NanoDAPFAMAllTitlAbsClmToFullText | 200 | 10000 | 3989 | 8339.5 | 6741.0 | 9976.2 | 71050.6 | 46456.5 | 79059.8 | | NanoDAPFAMAllTitlAbsClmToTitlAbs | 200 | 10000 | 3981 | 8339.5 | 6741.0 | 9976.2 | 777.9 | 766.0 | 958.2 | | NanoDAPFAMAllTitlAbsClmToTitlAbsClm | 200 | 10000 | 3989 | 8339.5 | 6741.0 | 9976.2 | 7229.1 | 6155.5 | 8658.5 | | NanoDAPFAMAllTitlAbsToFullText | 200 | 10000 | 3989 | 776.0 | 774.0 | 934.5 | 71113.4 | 46505.5 | 79214.5 | | NanoDAPFAMAllTitlAbsToTitlAbs | 200 | 10000 | 3982 | 776.0 | 774.0 | 934.5 | 778.0 | 766.0 | 958.2 | | NanoDAPFAMAllTitlAbsToTitlAbsClm | 200 | 10000 | 3989 | 776.0 | 774.0 | 934.5 | 7230.6 | 6157.5 | 8658.5 | | NanoDAPFAMInTitlAbsClmToFullText | 200 | 10000 | 3069 | 8405.5 | 6835.5 | 9976.2 | 68906.0 | 46012.0 | 77773.5 | | NanoDAPFAMInTitlAbsClmToTitlAbs | 200 | 10000 | 3062 | 8405.5 | 6835.5 | 9976.2 | 777.9 | 766.0 | 960.0 | | NanoDAPFAMInTitlAbsClmToTitlAbsClm | 200 | 10000 | 3069 | 8405.5 | 6835.5 | 9976.2 | 7225.2 | 6141.0 | 8658.5 | | NanoDAPFAMInTitlAbsToFullText | 200 | 10000 | 3072 | 771.3 | 771.5 | 934.5 | 68924.3 | 46024.5 | 77773.5 | | NanoDAPFAMInTitlAbsToTitlAbs | 200 | 10000 | 3066 | 771.3 | 771.5 | 934.5 | 777.7 | 766.0 | 959.2 | | NanoDAPFAMInTitlAbsToTitlAbsClm | 200 | 10000 | 3072 | 771.3 | 771.5 | 934.5 | 7226.4 | 6144.5 | 8658.0 | | NanoDAPFAMOutTitlAbsClmToFullText | 200 | 10000 | 1259 | 9315.7 | 7026.0 | 10653.0 | 71902.3 | 46121.0 | 79984.2 | | NanoDAPFAMOutTitlAbsClmToTitlAbs | 200 | 10000 | 1257 | 9315.7 | 7026.0 | 10653.0 | 777.9 | 769.0 | 962.0 | | NanoDAPFAMOutTitlAbsClmToTitlAbsClm | 200 | 10000 | 1259 | 9315.7 | 7026.0 | 10653.0 | 7257.2 | 6126.5 | 8623.8 | | NanoDAPFAMOutTitlAbsToFullText | 200 | 10000 | 1259 | 786.6 | 780.0 | 957.5 | 71902.3 | 46121.0 | 79984.2 | | NanoDAPFAMOutTitlAbsToTitlAbs | 200 | 10000 | 1257 | 786.6 | 780.0 | 957.5 | 777.9 | 769.0 | 962.0 | | NanoDAPFAMOutTitlAbsToTitlAbsClm | 200 | 10000 | 1259 | 786.6 | 780.0 | 957.5 | 7257.2 | 6126.5 | 8623.8 | ## Candidate Quality `nDCG@10` and `Recall@100` are computed from the included candidate rankings against the included qrels, then reported as 0-100 scores such as `52.45`. `Recall@100` uses only the top 100 candidates; an optional rank-101 safeguard positive is not counted in `Recall@100`. Dense means `microsoft/harrier-oss-v1-270m` with the `web_search_query` prompt and cosine similarity. | Nano split | BM25 tokenizer | BM25 nDCG@10 | Dense nDCG@10 | Hybrid nDCG@10 | BM25 Recall@100 | Dense Recall@100 | Hybrid Recall@100 | Hybrid candidates | Safeguard positives | |---|---|---:|---:|---:|---:|---:|---:|---:|---:| | Mean | - | 24.30 | 30.73 | 29.81 | 39.01 | 50.85 | 50.81 | - | 522 | | NanoDAPFAMAllTitlAbsClmToFullText | english_porter_stop | 33.65 | 43.52 | 42.15 | 46.14 | 58.02 | 58.39 | 100-101 | 6 | | NanoDAPFAMAllTitlAbsClmToTitlAbs | english_porter_stop | 28.64 | 39.97 | 37.67 | 35.98 | 52.80 | 50.57 | 100-101 | 8 | | NanoDAPFAMAllTitlAbsClmToTitlAbsClm | english_porter_stop | 33.60 | 41.56 | 39.89 | 44.24 | 55.39 | 54.72 | 100-101 | 7 | | NanoDAPFAMAllTitlAbsToFullText | english_porter_stop | 34.89 | 41.49 | 41.75 | 46.74 | 56.22 | 57.09 | 100-101 | 4 | | NanoDAPFAMAllTitlAbsToTitlAbs | english_porter_stop | 32.81 | 37.86 | 37.90 | 39.22 | 50.69 | 50.31 | 100-101 | 8 | | NanoDAPFAMAllTitlAbsToTitlAbsClm | english_porter_stop | 35.10 | 40.56 | 40.88 | 43.07 | 53.79 | 53.77 | 100-101 | 6 | | NanoDAPFAMInTitlAbsClmToFullText | english_porter_stop | 35.05 | 44.84 | 43.75 | 56.66 | 70.85 | 70.58 | 100-101 | 7 | | NanoDAPFAMInTitlAbsClmToTitlAbs | english_porter_stop | 29.70 | 41.35 | 38.05 | 42.87 | 64.36 | 61.04 | 100-101 | 10 | | NanoDAPFAMInTitlAbsClmToTitlAbsClm | english_porter_stop | 34.73 | 43.25 | 41.57 | 53.62 | 67.64 | 66.06 | 100-101 | 7 | | NanoDAPFAMInTitlAbsToFullText | english_porter_stop | 34.90 | 42.55 | 42.28 | 57.79 | 68.35 | 69.05 | 100-101 | 5 | | NanoDAPFAMInTitlAbsToTitlAbs | english_porter_stop | 33.86 | 39.23 | 39.42 | 47.15 | 61.77 | 60.92 | 100-101 | 9 | | NanoDAPFAMInTitlAbsToTitlAbsClm | english_porter_stop | 35.93 | 41.25 | 42.20 | 52.99 | 65.55 | 65.21 | 100-101 | 5 | | NanoDAPFAMOutTitlAbsClmToFullText | english_porter_stop | 4.61 | 10.10 | 8.69 | 27.55 | 35.19 | 38.30 | 100-101 | 65 | | NanoDAPFAMOutTitlAbsClmToTitlAbs | english_porter_stop | 4.39 | 8.72 | 7.14 | 16.84 | 28.40 | 29.56 | 100-101 | 77 | | NanoDAPFAMOutTitlAbsClmToTitlAbsClm | english_porter_stop | 6.40 | 9.52 | 8.11 | 23.21 | 34.39 | 33.16 | 100-101 | 72 | | NanoDAPFAMOutTitlAbsToFullText | english_porter_stop | 6.38 | 9.52 | 8.58 | 25.34 | 32.96 | 35.30 | 100-101 | 74 | | NanoDAPFAMOutTitlAbsToTitlAbs | english_porter_stop | 5.83 | 8.72 | 7.62 | 20.24 | 27.29 | 30.05 | 100-101 | 76 | | NanoDAPFAMOutTitlAbsToTitlAbsClm | english_porter_stop | 6.99 | 9.09 | 9.01 | 22.55 | 31.68 | 30.59 | 100-101 | 76 | ## Hybrid Safeguard Summary - Safeguard positives: 522 - Rows limited by corpus size: 0 - Metadata file: `reranking_hybrid_metadata.json` ## Source Links - Source benchmark: `DAPFAM` - Source benchmark repository: https://github.com/embeddings-benchmark/mteb - `datalyes/DAPFAM_patent`: https://huggingface.co/datasets/datalyes/DAPFAM_patent ## License NanoDAPFAM is a derived dataset. Users must comply with the licenses, terms, and attribution requirements of the upstream datasets and benchmarks.