Datasets:

hakari-bench
/

NanoRARb

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.

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

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.