---
license: other
language:
- en
task_categories:
- text-retrieval
pretty_name: NanoRTEB
size_categories:
- 10K<n<100K
configs:
- config_name: corpus
  data_files:
  - split: NanoAILACasedocs
    path: corpus/NanoAILACasedocs-00000-of-00001.parquet
  - split: NanoAILAStatutes
    path: corpus/NanoAILAStatutes-00000-of-00001.parquet
  - split: NanoApps
    path: corpus/NanoApps-00000-of-00001.parquet
  - split: NanoCUREv1
    path: corpus/NanoCUREv1-00000-of-00001.parquet
  - split: NanoChatDoctor
    path: corpus/NanoChatDoctor-00000-of-00001.parquet
  - split: NanoDS1000
    path: corpus/NanoDS1000-00000-of-00001.parquet
  - split: NanoFinQA
    path: corpus/NanoFinQA-00000-of-00001.parquet
  - split: NanoFinanceBench
    path: corpus/NanoFinanceBench-00000-of-00001.parquet
  - split: NanoFreshStack
    path: corpus/NanoFreshStack-00000-of-00001.parquet
  - split: NanoHC3Finance
    path: corpus/NanoHC3Finance-00000-of-00001.parquet
  - split: NanoHumanEval
    path: corpus/NanoHumanEval-00000-of-00001.parquet
  - split: NanoLegalSummarization
    path: corpus/NanoLegalSummarization-00000-of-00001.parquet
  - split: NanoMBPP
    path: corpus/NanoMBPP-00000-of-00001.parquet
  - split: NanoWikiSQL
    path: corpus/NanoWikiSQL-00000-of-00001.parquet
- config_name: queries
  data_files:
  - split: NanoAILACasedocs
    path: queries/NanoAILACasedocs-00000-of-00001.parquet
  - split: NanoAILAStatutes
    path: queries/NanoAILAStatutes-00000-of-00001.parquet
  - split: NanoApps
    path: queries/NanoApps-00000-of-00001.parquet
  - split: NanoCUREv1
    path: queries/NanoCUREv1-00000-of-00001.parquet
  - split: NanoChatDoctor
    path: queries/NanoChatDoctor-00000-of-00001.parquet
  - split: NanoDS1000
    path: queries/NanoDS1000-00000-of-00001.parquet
  - split: NanoFinQA
    path: queries/NanoFinQA-00000-of-00001.parquet
  - split: NanoFinanceBench
    path: queries/NanoFinanceBench-00000-of-00001.parquet
  - split: NanoFreshStack
    path: queries/NanoFreshStack-00000-of-00001.parquet
  - split: NanoHC3Finance
    path: queries/NanoHC3Finance-00000-of-00001.parquet
  - split: NanoHumanEval
    path: queries/NanoHumanEval-00000-of-00001.parquet
  - split: NanoLegalSummarization
    path: queries/NanoLegalSummarization-00000-of-00001.parquet
  - split: NanoMBPP
    path: queries/NanoMBPP-00000-of-00001.parquet
  - split: NanoWikiSQL
    path: queries/NanoWikiSQL-00000-of-00001.parquet
  default: true
- config_name: qrels
  data_files:
  - split: NanoAILACasedocs
    path: qrels/NanoAILACasedocs-00000-of-00001.parquet
  - split: NanoAILAStatutes
    path: qrels/NanoAILAStatutes-00000-of-00001.parquet
  - split: NanoApps
    path: qrels/NanoApps-00000-of-00001.parquet
  - split: NanoCUREv1
    path: qrels/NanoCUREv1-00000-of-00001.parquet
  - split: NanoChatDoctor
    path: qrels/NanoChatDoctor-00000-of-00001.parquet
  - split: NanoDS1000
    path: qrels/NanoDS1000-00000-of-00001.parquet
  - split: NanoFinQA
    path: qrels/NanoFinQA-00000-of-00001.parquet
  - split: NanoFinanceBench
    path: qrels/NanoFinanceBench-00000-of-00001.parquet
  - split: NanoFreshStack
    path: qrels/NanoFreshStack-00000-of-00001.parquet
  - split: NanoHC3Finance
    path: qrels/NanoHC3Finance-00000-of-00001.parquet
  - split: NanoHumanEval
    path: qrels/NanoHumanEval-00000-of-00001.parquet
  - split: NanoLegalSummarization
    path: qrels/NanoLegalSummarization-00000-of-00001.parquet
  - split: NanoMBPP
    path: qrels/NanoMBPP-00000-of-00001.parquet
  - split: NanoWikiSQL
    path: qrels/NanoWikiSQL-00000-of-00001.parquet
- config_name: bm25
  data_files:
  - split: NanoAILACasedocs
    path: bm25/NanoAILACasedocs-00000-of-00001.parquet
  - split: NanoAILAStatutes
    path: bm25/NanoAILAStatutes-00000-of-00001.parquet
  - split: NanoApps
    path: bm25/NanoApps-00000-of-00001.parquet
  - split: NanoCUREv1
    path: bm25/NanoCUREv1-00000-of-00001.parquet
  - split: NanoChatDoctor
    path: bm25/NanoChatDoctor-00000-of-00001.parquet
  - split: NanoDS1000
    path: bm25/NanoDS1000-00000-of-00001.parquet
  - split: NanoFinQA
    path: bm25/NanoFinQA-00000-of-00001.parquet
  - split: NanoFinanceBench
    path: bm25/NanoFinanceBench-00000-of-00001.parquet
  - split: NanoFreshStack
    path: bm25/NanoFreshStack-00000-of-00001.parquet
  - split: NanoHC3Finance
    path: bm25/NanoHC3Finance-00000-of-00001.parquet
  - split: NanoHumanEval
    path: bm25/NanoHumanEval-00000-of-00001.parquet
  - split: NanoLegalSummarization
    path: bm25/NanoLegalSummarization-00000-of-00001.parquet
  - split: NanoMBPP
    path: bm25/NanoMBPP-00000-of-00001.parquet
  - split: NanoWikiSQL
    path: bm25/NanoWikiSQL-00000-of-00001.parquet
- config_name: harrier_oss_v1_270m
  data_files:
  - split: NanoAILACasedocs
    path: harrier_oss_v1_270m/NanoAILACasedocs-00000-of-00001.parquet
  - split: NanoAILAStatutes
    path: harrier_oss_v1_270m/NanoAILAStatutes-00000-of-00001.parquet
  - split: NanoApps
    path: harrier_oss_v1_270m/NanoApps-00000-of-00001.parquet
  - split: NanoCUREv1
    path: harrier_oss_v1_270m/NanoCUREv1-00000-of-00001.parquet
  - split: NanoChatDoctor
    path: harrier_oss_v1_270m/NanoChatDoctor-00000-of-00001.parquet
  - split: NanoDS1000
    path: harrier_oss_v1_270m/NanoDS1000-00000-of-00001.parquet
  - split: NanoFinQA
    path: harrier_oss_v1_270m/NanoFinQA-00000-of-00001.parquet
  - split: NanoFinanceBench
    path: harrier_oss_v1_270m/NanoFinanceBench-00000-of-00001.parquet
  - split: NanoFreshStack
    path: harrier_oss_v1_270m/NanoFreshStack-00000-of-00001.parquet
  - split: NanoHC3Finance
    path: harrier_oss_v1_270m/NanoHC3Finance-00000-of-00001.parquet
  - split: NanoHumanEval
    path: harrier_oss_v1_270m/NanoHumanEval-00000-of-00001.parquet
  - split: NanoLegalSummarization
    path: harrier_oss_v1_270m/NanoLegalSummarization-00000-of-00001.parquet
  - split: NanoMBPP
    path: harrier_oss_v1_270m/NanoMBPP-00000-of-00001.parquet
  - split: NanoWikiSQL
    path: harrier_oss_v1_270m/NanoWikiSQL-00000-of-00001.parquet
- config_name: reranking_hybrid
  data_files:
  - split: NanoAILACasedocs
    path: reranking_hybrid/NanoAILACasedocs-00000-of-00001.parquet
  - split: NanoAILAStatutes
    path: reranking_hybrid/NanoAILAStatutes-00000-of-00001.parquet
  - split: NanoApps
    path: reranking_hybrid/NanoApps-00000-of-00001.parquet
  - split: NanoCUREv1
    path: reranking_hybrid/NanoCUREv1-00000-of-00001.parquet
  - split: NanoChatDoctor
    path: reranking_hybrid/NanoChatDoctor-00000-of-00001.parquet
  - split: NanoDS1000
    path: reranking_hybrid/NanoDS1000-00000-of-00001.parquet
  - split: NanoFinQA
    path: reranking_hybrid/NanoFinQA-00000-of-00001.parquet
  - split: NanoFinanceBench
    path: reranking_hybrid/NanoFinanceBench-00000-of-00001.parquet
  - split: NanoFreshStack
    path: reranking_hybrid/NanoFreshStack-00000-of-00001.parquet
  - split: NanoHC3Finance
    path: reranking_hybrid/NanoHC3Finance-00000-of-00001.parquet
  - split: NanoHumanEval
    path: reranking_hybrid/NanoHumanEval-00000-of-00001.parquet
  - split: NanoLegalSummarization
    path: reranking_hybrid/NanoLegalSummarization-00000-of-00001.parquet
  - split: NanoMBPP
    path: reranking_hybrid/NanoMBPP-00000-of-00001.parquet
  - split: NanoWikiSQL
    path: reranking_hybrid/NanoWikiSQL-00000-of-00001.parquet
dataset_info:
- config_name: bm25
  features:
  - name: query-id
    dtype: string
  - name: corpus-ids
    list: string
  splits:
  - name: NanoAILACasedocs
    num_bytes: 130850
    num_examples: 50
  - name: NanoAILAStatutes
    num_bytes: 58050
    num_examples: 50
  - name: NanoApps
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    num_examples: 200
  - name: NanoCUREv1
    num_bytes: 3648008
    num_examples: 182
  - name: NanoChatDoctor
    num_bytes: 1302600
    num_examples: 200
  - name: NanoDS1000
    num_bytes: 1302600
    num_examples: 200
  - name: NanoFinQA
    num_bytes: 990600
    num_examples: 200
  - name: NanoFinanceBench
    num_bytes: 284700
    num_examples: 150
  - name: NanoFreshStack
    num_bytes: 1002800
    num_examples: 200
  - name: NanoHC3Finance
    num_bytes: 1081600
    num_examples: 200
  - name: NanoHumanEval
    num_bytes: 326586
    num_examples: 158
  - name: NanoLegalSummarization
    num_bytes: 1229000
    num_examples: 200
  - name: NanoMBPP
    num_bytes: 1302600
    num_examples: 200
  - name: NanoWikiSQL
    num_bytes: 1302600
    num_examples: 200
  download_size: 14867380
  dataset_size: 14851499
- config_name: corpus
  features:
  - name: _id
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: NanoAILACasedocs
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    num_examples: 186
  - name: NanoAILAStatutes
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    num_examples: 82
  - name: NanoApps
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    num_examples: 8754
  - name: NanoCUREv1
    num_bytes: 6483997
    num_examples: 10000
  - name: NanoChatDoctor
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    num_examples: 5545
  - name: NanoDS1000
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    num_examples: 997
  - name: NanoFinQA
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    num_examples: 380
  - name: NanoFinanceBench
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    num_examples: 145
  - name: NanoFreshStack
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    num_examples: 3770
  - name: NanoHC3Finance
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    num_examples: 415
  - name: NanoHumanEval
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    num_examples: 158
  - name: NanoLegalSummarization
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    num_examples: 438
  - name: NanoMBPP
    num_bytes: 192265
    num_examples: 972
  - name: NanoWikiSQL
    num_bytes: 160672
    num_examples: 2022
  download_size: 18902638
  dataset_size: 42634088
- config_name: harrier_oss_v1_270m
  features:
  - name: query-id
    dtype: string
  - name: corpus-ids
    list: string
  splits:
  - name: NanoAILACasedocs
    num_bytes: 130850
    num_examples: 50
  - name: NanoAILAStatutes
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    num_examples: 50
  - name: NanoApps
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    num_examples: 200
  - name: NanoCUREv1
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    num_examples: 182
  - name: NanoChatDoctor
    num_bytes: 1302600
    num_examples: 200
  - name: NanoDS1000
    num_bytes: 1302600
    num_examples: 200
  - name: NanoFinQA
    num_bytes: 990600
    num_examples: 200
  - name: NanoFinanceBench
    num_bytes: 284700
    num_examples: 150
  - name: NanoFreshStack
    num_bytes: 1002800
    num_examples: 200
  - name: NanoHC3Finance
    num_bytes: 1081600
    num_examples: 200
  - name: NanoHumanEval
    num_bytes: 326586
    num_examples: 158
  - name: NanoLegalSummarization
    num_bytes: 1229000
    num_examples: 200
  - name: NanoMBPP
    num_bytes: 1302600
    num_examples: 200
  - name: NanoWikiSQL
    num_bytes: 1302600
    num_examples: 200
  download_size: 14860235
  dataset_size: 14844454
- config_name: qrels
  features:
  - name: query-id
    dtype: string
  - name: corpus-id
    dtype: string
  - name: score
    dtype: int64
  splits:
  - name: NanoAILACasedocs
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    num_examples: 195
  - name: NanoAILAStatutes
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    num_examples: 217
  - name: NanoApps
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    num_examples: 200
  - name: NanoCUREv1
    num_bytes: 454344
    num_examples: 5163
  - name: NanoChatDoctor
    num_bytes: 6000
    num_examples: 200
  - name: NanoDS1000
    num_bytes: 6000
    num_examples: 200
  - name: NanoFinQA
    num_bytes: 6000
    num_examples: 200
  - name: NanoFinanceBench
    num_bytes: 4500
    num_examples: 150
  - name: NanoFreshStack
    num_bytes: 42616
    num_examples: 1522
  - name: NanoHC3Finance
    num_bytes: 6000
    num_examples: 200
  - name: NanoHumanEval
    num_bytes: 4740
    num_examples: 158
  - name: NanoLegalSummarization
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    num_examples: 345
  - name: NanoMBPP
    num_bytes: 6000
    num_examples: 200
  - name: NanoWikiSQL
    num_bytes: 6000
    num_examples: 200
  download_size: 179705
  dataset_size: 570867
- config_name: queries
  features:
  - name: _id
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: NanoAILACasedocs
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    num_examples: 50
  - name: NanoAILAStatutes
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    num_examples: 50
  - name: NanoApps
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    num_examples: 200
  - name: NanoCUREv1
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    num_examples: 182
  - name: NanoChatDoctor
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    num_examples: 200
  - name: NanoDS1000
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    num_examples: 200
  - name: NanoFinQA
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    num_examples: 200
  - name: NanoFinanceBench
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    num_examples: 150
  - name: NanoFreshStack
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    num_examples: 200
  - name: NanoHC3Finance
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    num_examples: 200
  - name: NanoHumanEval
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    num_examples: 158
  - name: NanoLegalSummarization
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    num_examples: 200
  - name: NanoMBPP
    num_bytes: 18282
    num_examples: 200
  - name: NanoWikiSQL
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    num_examples: 200
  download_size: 854737
  dataset_size: 1799552
- config_name: reranking_hybrid
  features:
  - name: query-id
    dtype: string
  - name: corpus-ids
    list: string
  splits:
  - name: NanoAILACasedocs
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    num_examples: 50
  - name: NanoAILAStatutes
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    num_examples: 50
  - name: NanoApps
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    num_examples: 200
  - name: NanoCUREv1
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    num_examples: 182
  - name: NanoChatDoctor
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    num_examples: 200
  - name: NanoDS1000
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    num_examples: 200
  - name: NanoFinQA
    num_bytes: 262600
    num_examples: 200
  - name: NanoFinanceBench
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    num_examples: 150
  - name: NanoFreshStack
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    num_examples: 200
  - name: NanoHC3Finance
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    num_examples: 200
  - name: NanoHumanEval
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    num_examples: 158
  - name: NanoLegalSummarization
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    num_examples: 200
  - name: NanoMBPP
    num_bytes: 262704
    num_examples: 200
  - name: NanoWikiSQL
    num_bytes: 262600
    num_examples: 200
  download_size: 3524235
  dataset_size: 3510344
tags:
- information-retrieval
- retrieval
- nano
- bm25
- dense-retrieval
- reranking
- hakari-bench
---
# NanoRTEB

This dataset is a Nano-style retrieval dataset for [HAKARI-bench](https://github.com/hakari-bench/hakari-bench).

NanoRTEB samples open English RTEB tasks for compact evaluation across practical domain search settings, including legal case and statute retrieval, finance question answering, healthcare and medical question answering, and code-oriented retrieval.

It keeps the Nano query-corpus-qrels layout while providing BM25, dense `harrier_oss_v1_270m`, and `reranking_hybrid` candidate subsets for first-stage retrieval and reranking diagnostics.

## Usage

```python
from datasets import load_dataset

dataset_id = "hakari-bench/NanoRTEB"
split = "NanoAILACasedocs"

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 |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| NanoAILACasedocs | 50 | 186 | 195 | 3038.4 | 3063.0 | 3867.0 | 26947.3 | 18958.0 | 30734.0 |
| NanoAILAStatutes | 50 | 82 | 217 | 3038.4 | 3063.0 | 3867.0 | 1972.6 | 898.0 | 1976.0 |
| NanoApps | 200 | 8754 | 200 | 1675.4 | 1589.0 | 2058.2 | 573.1 | 331.0 | 640.0 |
| NanoCUREv1 | 182 | 10000 | 5163 | 77.2 | 79.0 | 91.8 | 604.0 | 511.0 | 756.2 |
| NanoChatDoctor | 200 | 5545 | 200 | 441.1 | 361.0 | 518.8 | 605.1 | 558.0 | 707.0 |
| NanoDS1000 | 200 | 997 | 200 | 1154.2 | 1080.5 | 1388.0 | 687.8 | 547.0 | 757.0 |
| NanoFinQA | 200 | 380 | 200 | 101.5 | 92.0 | 116.2 | 3918.5 | 3887.5 | 4728.2 |
| NanoFinanceBench | 150 | 145 | 150 | 161.1 | 137.5 | 210.8 | 1677.0 | 1323.0 | 2208.0 |
| NanoFreshStack | 200 | 3770 | 1522 | 1660.2 | 1251.5 | 2258.0 | 4983.0 | 5505.5 | 7485.0 |
| NanoHC3Finance | 200 | 415 | 200 | 61.4 | 59.5 | 75.2 | 991.3 | 693.0 | 1262.5 |
| NanoHumanEval | 158 | 158 | 158 | 291.2 | 251.0 | 391.0 | 177.0 | 145.0 | 239.5 |
| NanoLegalSummarization | 200 | 438 | 345 | 103.1 | 82.5 | 121.2 | 606.2 | 340.5 | 602.2 |
| NanoMBPP | 200 | 972 | 200 | 78.4 | 77.0 | 90.0 | 180.8 | 144.5 | 218.0 |
| NanoWikiSQL | 200 | 2022 | 200 | 1551.5 | 1207.5 | 2109.5 | 62.3 | 59.0 | 69.0 |

## 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 | - | 35.53 | 55.37 | 48.43 | 75.95 | 89.16 | 89.88 | - | 174 |
| NanoAILACasedocs | english_porter_stop | 28.05 | 40.03 | 36.67 | 91.54 | 90.04 | 93.09 | 100-101 | 2 |
| NanoAILAStatutes | english_porter_stop | 20.70 | 27.11 | 25.64 | 100.00 | 100.00 | 100.00 | 82 | 0 |
| NanoApps | regex | 0.84 | 25.28 | 16.55 | 7.50 | 67.00 | 54.00 | 100-101 | 92 |
| NanoCUREv1 | english_porter_stop | 51.02 | 54.79 | 56.88 | 63.67 | 70.17 | 72.45 | 100-101 | 1 |
| NanoChatDoctor | english_porter_stop | 29.52 | 55.33 | 46.71 | 66.00 | 81.50 | 83.00 | 100-101 | 34 |
| NanoDS1000 | regex | 44.24 | 68.35 | 60.53 | 87.50 | 95.50 | 97.00 | 100-101 | 6 |
| NanoFinQA | english_porter_stop | 73.30 | 60.51 | 73.09 | 100.00 | 97.00 | 100.00 | 100 | 0 |
| NanoFinanceBench | english_porter_stop | 42.67 | 76.94 | 66.13 | 94.67 | 99.33 | 100.00 | 100 | 0 |
| NanoFreshStack | english_porter_stop | 27.68 | 33.96 | 34.82 | 64.13 | 73.95 | 78.26 | 100-101 | 4 |
| NanoHC3Finance | english_porter_stop | 30.79 | 46.54 | 41.77 | 78.00 | 91.50 | 93.50 | 100-101 | 13 |
| NanoHumanEval | regex | 34.05 | 56.66 | 57.70 | 90.51 | 99.37 | 99.37 | 100-101 | 1 |
| NanoLegalSummarization | english_porter_stop | 56.78 | 58.61 | 60.85 | 88.30 | 91.36 | 91.71 | 100-101 | 13 |
| NanoMBPP | regex | 8.75 | 75.99 | 23.05 | 37.00 | 94.00 | 96.00 | 100-101 | 8 |
| NanoWikiSQL | regex | 48.98 | 95.07 | 77.63 | 94.50 | 97.50 | 100.00 | 100 | 0 |

## Hybrid Safeguard Summary

- Safeguard positives: 174
- Rows limited by corpus size: 50
- Metadata file: `reranking_hybrid_metadata.json`

## Source Links

- Source benchmark: `RTEB`
- [RTEB benchmark announcement](https://huggingface.co/blog/rteb)
- [MTEB project](https://github.com/embeddings-benchmark/mteb)

## License

NanoRTEB is a derived dataset. Users must comply with the licenses, terms, and
attribution requirements of the upstream datasets listed above.