--- configs: - config_name: corpus data_files: - split: NanoARCChallenge path: corpus/NanoARCChallenge-00000-of-00001.parquet - split: NanoAlphaNLI path: corpus/NanoAlphaNLI-00000-of-00001.parquet - split: NanoHellaSwag path: corpus/NanoHellaSwag-00000-of-00001.parquet - split: NanoPIQA path: corpus/NanoPIQA-00000-of-00001.parquet - split: NanoQuail path: corpus/NanoQuail-00000-of-00001.parquet - split: NanoRARbCode path: corpus/NanoRARbCode-00000-of-00001.parquet - split: NanoRARbMath path: corpus/NanoRARbMath-00000-of-00001.parquet - split: NanoSIQA path: corpus/NanoSIQA-00000-of-00001.parquet - split: NanoSpartQA path: corpus/NanoSpartQA-00000-of-00001.parquet - split: NanoTempReasonL1 path: corpus/NanoTempReasonL1-00000-of-00001.parquet - split: NanoTempReasonL2Context path: corpus/NanoTempReasonL2Context-00000-of-00001.parquet - split: NanoTempReasonL2Fact path: corpus/NanoTempReasonL2Fact-00000-of-00001.parquet - split: NanoTempReasonL2Pure path: corpus/NanoTempReasonL2Pure-00000-of-00001.parquet - split: NanoTempReasonL3Context path: corpus/NanoTempReasonL3Context-00000-of-00001.parquet - split: NanoTempReasonL3Fact path: corpus/NanoTempReasonL3Fact-00000-of-00001.parquet - split: NanoTempReasonL3Pure path: corpus/NanoTempReasonL3Pure-00000-of-00001.parquet - split: NanoWinoGrande path: corpus/NanoWinoGrande-00000-of-00001.parquet - config_name: queries data_files: - split: NanoARCChallenge path: queries/NanoARCChallenge-00000-of-00001.parquet - split: NanoAlphaNLI path: queries/NanoAlphaNLI-00000-of-00001.parquet - split: NanoHellaSwag path: queries/NanoHellaSwag-00000-of-00001.parquet - split: NanoPIQA path: queries/NanoPIQA-00000-of-00001.parquet - split: NanoQuail path: queries/NanoQuail-00000-of-00001.parquet - split: NanoRARbCode path: queries/NanoRARbCode-00000-of-00001.parquet - split: NanoRARbMath path: queries/NanoRARbMath-00000-of-00001.parquet - split: NanoSIQA path: queries/NanoSIQA-00000-of-00001.parquet - split: NanoSpartQA path: queries/NanoSpartQA-00000-of-00001.parquet - split: NanoTempReasonL1 path: queries/NanoTempReasonL1-00000-of-00001.parquet - split: NanoTempReasonL2Context path: queries/NanoTempReasonL2Context-00000-of-00001.parquet - split: NanoTempReasonL2Fact path: queries/NanoTempReasonL2Fact-00000-of-00001.parquet - split: NanoTempReasonL2Pure path: queries/NanoTempReasonL2Pure-00000-of-00001.parquet - split: NanoTempReasonL3Context path: queries/NanoTempReasonL3Context-00000-of-00001.parquet - split: NanoTempReasonL3Fact path: queries/NanoTempReasonL3Fact-00000-of-00001.parquet - split: NanoTempReasonL3Pure path: queries/NanoTempReasonL3Pure-00000-of-00001.parquet - split: NanoWinoGrande path: queries/NanoWinoGrande-00000-of-00001.parquet default: true - config_name: qrels data_files: - split: NanoARCChallenge path: qrels/NanoARCChallenge-00000-of-00001.parquet - split: NanoAlphaNLI path: qrels/NanoAlphaNLI-00000-of-00001.parquet - split: NanoHellaSwag path: qrels/NanoHellaSwag-00000-of-00001.parquet - split: NanoPIQA path: qrels/NanoPIQA-00000-of-00001.parquet - split: NanoQuail path: qrels/NanoQuail-00000-of-00001.parquet - split: NanoRARbCode path: qrels/NanoRARbCode-00000-of-00001.parquet - split: NanoRARbMath path: qrels/NanoRARbMath-00000-of-00001.parquet - split: NanoSIQA path: qrels/NanoSIQA-00000-of-00001.parquet - split: NanoSpartQA path: qrels/NanoSpartQA-00000-of-00001.parquet - split: NanoTempReasonL1 path: qrels/NanoTempReasonL1-00000-of-00001.parquet - split: NanoTempReasonL2Context path: qrels/NanoTempReasonL2Context-00000-of-00001.parquet - split: NanoTempReasonL2Fact path: qrels/NanoTempReasonL2Fact-00000-of-00001.parquet - split: NanoTempReasonL2Pure path: qrels/NanoTempReasonL2Pure-00000-of-00001.parquet - split: NanoTempReasonL3Context path: qrels/NanoTempReasonL3Context-00000-of-00001.parquet - split: NanoTempReasonL3Fact path: qrels/NanoTempReasonL3Fact-00000-of-00001.parquet - split: NanoTempReasonL3Pure path: qrels/NanoTempReasonL3Pure-00000-of-00001.parquet - split: NanoWinoGrande path: qrels/NanoWinoGrande-00000-of-00001.parquet - config_name: bm25 data_files: - split: NanoARCChallenge path: bm25/NanoARCChallenge-00000-of-00001.parquet - split: NanoAlphaNLI path: bm25/NanoAlphaNLI-00000-of-00001.parquet - split: NanoHellaSwag path: bm25/NanoHellaSwag-00000-of-00001.parquet - split: NanoPIQA path: bm25/NanoPIQA-00000-of-00001.parquet - split: NanoQuail path: bm25/NanoQuail-00000-of-00001.parquet - split: NanoRARbCode path: bm25/NanoRARbCode-00000-of-00001.parquet - split: NanoRARbMath path: bm25/NanoRARbMath-00000-of-00001.parquet - split: NanoSIQA path: bm25/NanoSIQA-00000-of-00001.parquet - split: NanoSpartQA path: bm25/NanoSpartQA-00000-of-00001.parquet - split: NanoTempReasonL1 path: bm25/NanoTempReasonL1-00000-of-00001.parquet - split: NanoTempReasonL2Context path: bm25/NanoTempReasonL2Context-00000-of-00001.parquet - split: NanoTempReasonL2Fact path: bm25/NanoTempReasonL2Fact-00000-of-00001.parquet - split: NanoTempReasonL2Pure path: bm25/NanoTempReasonL2Pure-00000-of-00001.parquet - split: NanoTempReasonL3Context path: bm25/NanoTempReasonL3Context-00000-of-00001.parquet - split: NanoTempReasonL3Fact path: bm25/NanoTempReasonL3Fact-00000-of-00001.parquet - split: NanoTempReasonL3Pure path: bm25/NanoTempReasonL3Pure-00000-of-00001.parquet - split: NanoWinoGrande path: bm25/NanoWinoGrande-00000-of-00001.parquet - config_name: harrier_oss_v1_270m data_files: - split: NanoARCChallenge path: harrier_oss_v1_270m/NanoARCChallenge-00000-of-00001.parquet - split: NanoAlphaNLI path: harrier_oss_v1_270m/NanoAlphaNLI-00000-of-00001.parquet - split: NanoHellaSwag path: harrier_oss_v1_270m/NanoHellaSwag-00000-of-00001.parquet - split: NanoPIQA path: harrier_oss_v1_270m/NanoPIQA-00000-of-00001.parquet - split: NanoQuail path: harrier_oss_v1_270m/NanoQuail-00000-of-00001.parquet - split: NanoRARbCode path: harrier_oss_v1_270m/NanoRARbCode-00000-of-00001.parquet - split: NanoRARbMath path: harrier_oss_v1_270m/NanoRARbMath-00000-of-00001.parquet - split: NanoSIQA path: harrier_oss_v1_270m/NanoSIQA-00000-of-00001.parquet - split: NanoSpartQA path: harrier_oss_v1_270m/NanoSpartQA-00000-of-00001.parquet - split: NanoTempReasonL1 path: harrier_oss_v1_270m/NanoTempReasonL1-00000-of-00001.parquet - split: NanoTempReasonL2Context path: harrier_oss_v1_270m/NanoTempReasonL2Context-00000-of-00001.parquet - split: NanoTempReasonL2Fact path: harrier_oss_v1_270m/NanoTempReasonL2Fact-00000-of-00001.parquet - split: NanoTempReasonL2Pure path: harrier_oss_v1_270m/NanoTempReasonL2Pure-00000-of-00001.parquet - split: NanoTempReasonL3Context path: harrier_oss_v1_270m/NanoTempReasonL3Context-00000-of-00001.parquet - split: NanoTempReasonL3Fact path: harrier_oss_v1_270m/NanoTempReasonL3Fact-00000-of-00001.parquet - split: NanoTempReasonL3Pure path: harrier_oss_v1_270m/NanoTempReasonL3Pure-00000-of-00001.parquet - split: NanoWinoGrande path: harrier_oss_v1_270m/NanoWinoGrande-00000-of-00001.parquet - config_name: reranking_hybrid data_files: - split: NanoARCChallenge path: reranking_hybrid/NanoARCChallenge-00000-of-00001.parquet - split: NanoAlphaNLI path: reranking_hybrid/NanoAlphaNLI-00000-of-00001.parquet - split: NanoHellaSwag path: reranking_hybrid/NanoHellaSwag-00000-of-00001.parquet - split: NanoPIQA path: reranking_hybrid/NanoPIQA-00000-of-00001.parquet - split: NanoQuail path: reranking_hybrid/NanoQuail-00000-of-00001.parquet - split: NanoRARbCode path: reranking_hybrid/NanoRARbCode-00000-of-00001.parquet - split: NanoRARbMath path: reranking_hybrid/NanoRARbMath-00000-of-00001.parquet - split: NanoSIQA path: reranking_hybrid/NanoSIQA-00000-of-00001.parquet - split: NanoSpartQA path: reranking_hybrid/NanoSpartQA-00000-of-00001.parquet - split: NanoTempReasonL1 path: reranking_hybrid/NanoTempReasonL1-00000-of-00001.parquet - split: NanoTempReasonL2Context path: reranking_hybrid/NanoTempReasonL2Context-00000-of-00001.parquet - split: NanoTempReasonL2Fact path: reranking_hybrid/NanoTempReasonL2Fact-00000-of-00001.parquet - split: NanoTempReasonL2Pure path: reranking_hybrid/NanoTempReasonL2Pure-00000-of-00001.parquet - split: NanoTempReasonL3Context path: reranking_hybrid/NanoTempReasonL3Context-00000-of-00001.parquet - split: NanoTempReasonL3Fact path: reranking_hybrid/NanoTempReasonL3Fact-00000-of-00001.parquet - split: NanoTempReasonL3Pure path: reranking_hybrid/NanoTempReasonL3Pure-00000-of-00001.parquet - split: NanoWinoGrande path: reranking_hybrid/NanoWinoGrande-00000-of-00001.parquet language: - en tags: - information-retrieval - retrieval - nano - bm25 - dense-retrieval - reranking - hakari-bench dataset_info: - config_name: bm25 features: - name: query-id dtype: string - name: corpus-ids list: string splits: - name: NanoARCChallenge num_bytes: 2397141 num_examples: 200 - name: NanoAlphaNLI num_bytes: 1592820 num_examples: 200 - name: NanoHellaSwag num_bytes: 1992265 num_examples: 200 - name: NanoPIQA num_bytes: 1495378 num_examples: 200 - name: NanoQuail num_bytes: 1585660 num_examples: 200 - name: NanoRARbCode num_bytes: 1655666 num_examples: 200 - name: NanoRARbMath num_bytes: 1566078 num_examples: 200 - name: NanoSIQA num_bytes: 1493669 num_examples: 200 - name: NanoSpartQA num_bytes: 1720733 num_examples: 200 - name: NanoTempReasonL1 num_bytes: 1394908 num_examples: 200 - name: NanoTempReasonL2Context num_bytes: 1388048 num_examples: 200 - name: NanoTempReasonL2Fact num_bytes: 1386249 num_examples: 200 - name: NanoTempReasonL2Pure num_bytes: 1400672 num_examples: 200 - name: NanoTempReasonL3Context num_bytes: 1388349 num_examples: 200 - name: NanoTempReasonL3Fact num_bytes: 1386720 num_examples: 200 - name: NanoTempReasonL3Pure num_bytes: 1396035 num_examples: 200 - name: NanoWinoGrande num_bytes: 1502057 num_examples: 200 download_size: 26744275 dataset_size: 26742448 - config_name: corpus features: - name: _id dtype: string - name: text dtype: string splits: - name: NanoARCChallenge num_bytes: 550089 num_examples: 9350 - name: NanoAlphaNLI num_bytes: 637339 num_examples: 10000 - name: NanoHellaSwag num_bytes: 860409 num_examples: 10000 - name: NanoPIQA num_bytes: 1169438 num_examples: 10000 - name: NanoQuail num_bytes: 449092 num_examples: 10000 - name: NanoRARbCode num_bytes: 2756968 num_examples: 10000 - name: NanoRARbMath num_bytes: 5023939 num_examples: 10000 - name: NanoSIQA num_bytes: 403986 num_examples: 10000 - name: NanoSpartQA num_bytes: 113191 num_examples: 1592 - name: NanoTempReasonL1 num_bytes: 268865 num_examples: 10000 - name: NanoTempReasonL2Context num_bytes: 380065 num_examples: 10000 - name: NanoTempReasonL2Fact num_bytes: 380065 num_examples: 10000 - name: NanoTempReasonL2Pure num_bytes: 380065 num_examples: 10000 - name: NanoTempReasonL3Context num_bytes: 379782 num_examples: 10000 - name: NanoTempReasonL3Fact num_bytes: 379782 num_examples: 10000 - name: NanoTempReasonL3Pure num_bytes: 379782 num_examples: 10000 - name: NanoWinoGrande num_bytes: 134837 num_examples: 5095 download_size: 7668654 dataset_size: 14647694 - config_name: harrier_oss_v1_270m features: - name: query-id dtype: string - name: corpus-ids list: string splits: - name: NanoARCChallenge num_bytes: 2393245 num_examples: 200 - name: NanoAlphaNLI num_bytes: 1591628 num_examples: 200 - name: NanoHellaSwag num_bytes: 1992262 num_examples: 200 - name: NanoPIQA num_bytes: 1491910 num_examples: 200 - name: NanoQuail num_bytes: 1580730 num_examples: 200 - name: NanoRARbCode num_bytes: 1510235 num_examples: 200 - name: NanoRARbMath num_bytes: 1501950 num_examples: 200 - name: NanoSIQA num_bytes: 1493251 num_examples: 200 - name: NanoSpartQA num_bytes: 1737541 num_examples: 200 - name: NanoTempReasonL1 num_bytes: 1391940 num_examples: 200 - name: NanoTempReasonL2Context num_bytes: 1387736 num_examples: 200 - name: NanoTempReasonL2Fact num_bytes: 1388225 num_examples: 200 - name: NanoTempReasonL2Pure num_bytes: 1388790 num_examples: 200 - name: NanoTempReasonL3Context num_bytes: 1388367 num_examples: 200 - name: NanoTempReasonL3Fact num_bytes: 1388985 num_examples: 200 - name: NanoTempReasonL3Pure num_bytes: 1388855 num_examples: 200 - name: NanoWinoGrande num_bytes: 1480614 num_examples: 200 download_size: 26498499 dataset_size: 26496264 - config_name: qrels features: - name: query-id dtype: string - name: corpus-id dtype: string splits: - name: NanoARCChallenge num_bytes: 9063 num_examples: 200 - name: NanoAlphaNLI num_bytes: 5835 num_examples: 200 - name: NanoHellaSwag num_bytes: 7463 num_examples: 200 - name: NanoPIQA num_bytes: 5435 num_examples: 200 - name: NanoQuail num_bytes: 5810 num_examples: 200 - name: NanoRARbCode num_bytes: 8980 num_examples: 200 - name: NanoRARbMath num_bytes: 5380 num_examples: 200 - name: NanoSIQA num_bytes: 5450 num_examples: 200 - name: NanoSpartQA num_bytes: 12383 num_examples: 384 - name: NanoTempReasonL1 num_bytes: 4979 num_examples: 200 - name: NanoTempReasonL2Context num_bytes: 4975 num_examples: 200 - name: NanoTempReasonL2Fact num_bytes: 4975 num_examples: 200 - name: NanoTempReasonL2Pure num_bytes: 4975 num_examples: 200 - name: NanoTempReasonL3Context num_bytes: 5004 num_examples: 200 - name: NanoTempReasonL3Fact num_bytes: 5004 num_examples: 200 - name: NanoTempReasonL3Pure num_bytes: 5004 num_examples: 200 - name: NanoWinoGrande num_bytes: 5343 num_examples: 200 download_size: 60606 dataset_size: 106058 - config_name: queries features: - name: _id dtype: string - name: text dtype: string splits: - name: NanoARCChallenge num_bytes: 30628 num_examples: 200 - name: NanoAlphaNLI num_bytes: 24448 num_examples: 200 - name: NanoHellaSwag num_bytes: 27426 num_examples: 200 - name: NanoPIQA num_bytes: 11068 num_examples: 200 - name: NanoQuail num_bytes: 366441 num_examples: 200 - name: NanoRARbCode num_bytes: 99388 num_examples: 200 - name: NanoRARbMath num_bytes: 43755 num_examples: 200 - name: NanoSIQA num_bytes: 28878 num_examples: 200 - name: NanoSpartQA num_bytes: 135064 num_examples: 200 - name: NanoTempReasonL1 num_bytes: 13265 num_examples: 200 - name: NanoTempReasonL2Context num_bytes: 5788304 num_examples: 200 - name: NanoTempReasonL2Fact num_bytes: 354146 num_examples: 200 - name: NanoTempReasonL2Pure num_bytes: 13905 num_examples: 200 - name: NanoTempReasonL3Context num_bytes: 6401050 num_examples: 200 - name: NanoTempReasonL3Fact num_bytes: 401694 num_examples: 200 - name: NanoTempReasonL3Pure num_bytes: 16394 num_examples: 200 - name: NanoWinoGrande num_bytes: 25885 num_examples: 200 download_size: 6772280 dataset_size: 13781739 - config_name: reranking_hybrid features: - name: query-id dtype: string - name: corpus-ids list: string splits: - name: NanoARCChallenge num_bytes: 485686 num_examples: 200 - name: NanoAlphaNLI num_bytes: 321131 num_examples: 200 - name: NanoHellaSwag num_bytes: 403060 num_examples: 200 - name: NanoPIQA num_bytes: 301849 num_examples: 200 - name: NanoQuail num_bytes: 315624 num_examples: 200 - name: NanoRARbCode num_bytes: 318915 num_examples: 200 - name: NanoRARbMath num_bytes: 298826 num_examples: 200 - name: NanoSIQA num_bytes: 303240 num_examples: 200 - name: NanoSpartQA num_bytes: 345385 num_examples: 200 - name: NanoTempReasonL1 num_bytes: 282785 num_examples: 200 - name: NanoTempReasonL2Context num_bytes: 278517 num_examples: 200 - name: NanoTempReasonL2Fact num_bytes: 277515 num_examples: 200 - name: NanoTempReasonL2Pure num_bytes: 281848 num_examples: 200 - name: NanoTempReasonL3Context num_bytes: 278630 num_examples: 200 - name: NanoTempReasonL3Fact num_bytes: 277450 num_examples: 200 - name: NanoTempReasonL3Pure num_bytes: 280858 num_examples: 200 - name: NanoWinoGrande num_bytes: 300624 num_examples: 200 download_size: 5350649 dataset_size: 5351943 --- # NanoRARb This dataset is a Nano-style retrieval dataset for [HAKARI-bench](https://github.com/hakari-bench/hakari-bench). NanoRARb contains 17 Nano retrieval splits derived from RAR-b. 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/NanoRARb" split = "NanoARCChallenge" 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 | |---|---:|---:|---:|---:|---:|---:|---:|---:|---:| | NanoARCChallenge | 200 | 9350 | 200 | 126.7 | 108.5 | 171.2 | 30.9 | 30.0 | 43.0 | | NanoAlphaNLI | 200 | 10000 | 200 | 103.8 | 102.5 | 119.0 | 43.8 | 42.0 | 51.0 | | NanoHellaSwag | 200 | 10000 | 200 | 114.7 | 115.5 | 148.2 | 62.2 | 55.0 | 77.0 | | NanoPIQA | 200 | 10000 | 200 | 37.9 | 37.0 | 46.0 | 98.0 | 65.0 | 124.0 | | NanoQuail | 200 | 10000 | 200 | 1813.8 | 1823.5 | 1861.0 | 25.0 | 22.0 | 33.0 | | NanoRARbCode | 200 | 10000 | 200 | 470.1 | 430.5 | 542.0 | 256.0 | 244.0 | 333.0 | | NanoRARbMath | 200 | 10000 | 200 | 201.3 | 166.5 | 256.8 | 481.3 | 386.5 | 603.0 | | NanoSIQA | 200 | 10000 | 200 | 126.9 | 124.0 | 137.2 | 21.5 | 19.0 | 27.0 | | NanoSpartQA | 200 | 1592 | 384 | 654.9 | 621.0 | 727.5 | 49.8 | 55.0 | 62.0 | | NanoTempReasonL1 | 200 | 10000 | 200 | 49.9 | 51.0 | 52.0 | 9.0 | 9.0 | 9.0 | | NanoTempReasonL2Context | 200 | 10000 | 200 | 28755.2 | 6562.0 | 75421.0 | 19.9 | 17.0 | 23.0 | | NanoTempReasonL2Fact | 200 | 10000 | 200 | 1744.4 | 672.0 | 4822.0 | 19.9 | 17.0 | 23.0 | | NanoTempReasonL2Pure | 200 | 10000 | 200 | 53.0 | 53.0 | 61.0 | 19.9 | 17.0 | 23.0 | | NanoTempReasonL3Context | 200 | 10000 | 200 | 31804.1 | 7032.0 | 75374.0 | 19.9 | 17.0 | 23.0 | | NanoTempReasonL3Fact | 200 | 10000 | 200 | 1981.1 | 836.0 | 4775.0 | 19.9 | 17.0 | 23.0 | | NanoTempReasonL3Pure | 200 | 10000 | 200 | 65.1 | 62.0 | 76.0 | 19.9 | 17.0 | 23.0 | | NanoWinoGrande | 200 | 5095 | 200 | 112.0 | 110.0 | 122.2 | 7.7 | 7.0 | 9.0 | ## 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 | - | 15.36 | 24.69 | 23.10 | 46.01 | 65.99 | 64.45 | - | 1170 | | NanoARCChallenge | english_porter_stop | 3.86 | 11.13 | 6.42 | 22.50 | 36.00 | 35.50 | 100-101 | 129 | | NanoAlphaNLI | english_porter_stop | 32.88 | 58.98 | 47.77 | 67.50 | 91.50 | 89.50 | 100-101 | 21 | | NanoHellaSwag | english_porter_stop | 13.93 | 12.53 | 15.51 | 52.50 | 52.50 | 59.50 | 100-101 | 81 | | NanoPIQA | english_porter_stop | 24.43 | 40.17 | 37.41 | 59.50 | 68.00 | 67.50 | 100-101 | 65 | | NanoQuail | english_porter_stop | 5.22 | 11.74 | 9.82 | 28.50 | 46.00 | 46.50 | 100-101 | 107 | | NanoRARbCode | regex | 13.18 | 11.73 | 17.73 | 44.50 | 43.50 | 57.50 | 100-101 | 85 | | NanoRARbMath | english_porter_stop | 61.47 | 78.18 | 73.50 | 94.50 | 94.00 | 97.50 | 100-101 | 5 | | NanoSIQA | english_porter_stop | 2.39 | 6.18 | 4.05 | 18.50 | 38.50 | 33.50 | 100-101 | 133 | | NanoSpartQA | english_porter_stop | 18.88 | 26.34 | 34.19 | 60.67 | 54.83 | 62.17 | 100-101 | 37 | | NanoTempReasonL1 | english_porter_stop | 1.25 | 4.88 | 1.29 | 3.50 | 64.50 | 37.00 | 100-101 | 126 | | NanoTempReasonL2Context | english_porter_stop | 11.14 | 21.71 | 20.49 | 46.00 | 79.50 | 77.00 | 100-101 | 46 | | NanoTempReasonL2Fact | english_porter_stop | 6.15 | 30.05 | 25.13 | 72.00 | 89.50 | 92.50 | 100-101 | 15 | | NanoTempReasonL2Pure | english_porter_stop | 0.00 | 4.83 | 0.33 | 0.50 | 48.50 | 33.00 | 100-101 | 134 | | NanoTempReasonL3Context | english_porter_stop | 9.45 | 19.26 | 16.68 | 36.00 | 76.00 | 73.00 | 100-101 | 54 | | NanoTempReasonL3Fact | english_porter_stop | 5.47 | 25.49 | 19.81 | 66.00 | 87.00 | 92.50 | 100-101 | 15 | | NanoTempReasonL3Pure | english_porter_stop | 0.74 | 7.07 | 2.38 | 9.50 | 54.00 | 41.50 | 100-101 | 117 | | NanoWinoGrande | english_porter_stop | 50.67 | 49.46 | 60.20 | 100.00 | 98.00 | 100.00 | 100 | 0 | ## Hybrid Safeguard Summary - Safeguard positives: 1170 - Rows limited by corpus size: 0 - Metadata file: `reranking_hybrid_metadata.json` ## Source Links - Source benchmark: `RAR-b` - `mteb/ARCChallenge`: https://huggingface.co/datasets/mteb/ARCChallenge - `mteb/AlphaNLI`: https://huggingface.co/datasets/mteb/AlphaNLI - `mteb/HellaSwag`: https://huggingface.co/datasets/mteb/HellaSwag - `mteb/PIQA`: https://huggingface.co/datasets/mteb/PIQA - `mteb/Quail`: https://huggingface.co/datasets/mteb/Quail - `mteb/RARbCode`: https://huggingface.co/datasets/mteb/RARbCode - `mteb/RARbMath`: https://huggingface.co/datasets/mteb/RARbMath - `mteb/SIQA`: https://huggingface.co/datasets/mteb/SIQA - `mteb/SpartQA`: https://huggingface.co/datasets/mteb/SpartQA - `mteb/TempReasonL1`: https://huggingface.co/datasets/mteb/TempReasonL1 - `mteb/TempReasonL2Context`: https://huggingface.co/datasets/mteb/TempReasonL2Context - `mteb/TempReasonL2Fact`: https://huggingface.co/datasets/mteb/TempReasonL2Fact - `mteb/TempReasonL2Pure`: https://huggingface.co/datasets/mteb/TempReasonL2Pure - `mteb/TempReasonL3Context`: https://huggingface.co/datasets/mteb/TempReasonL3Context - `mteb/TempReasonL3Fact`: https://huggingface.co/datasets/mteb/TempReasonL3Fact - `mteb/TempReasonL3Pure`: https://huggingface.co/datasets/mteb/TempReasonL3Pure - `mteb/WinoGrande`: https://huggingface.co/datasets/mteb/WinoGrande ## License NanoRARb is a derived dataset. Users must comply with the licenses, terms, and attribution requirements of the upstream datasets and benchmarks.