| --- |
| configs: |
| - config_name: corpus |
| data_files: |
| - split: Nano2WikiMultihopQA |
| path: corpus/Nano2WikiMultihopQA-00000-of-00001.parquet |
| - split: NanoNarrativeQA |
| path: corpus/NanoNarrativeQA-00000-of-00001.parquet |
| - split: NanoNeedle |
| path: corpus/NanoNeedle-00000-of-00001.parquet |
| - split: NanoPasskey |
| path: corpus/NanoPasskey-00000-of-00001.parquet |
| - split: NanoQMSum |
| path: corpus/NanoQMSum-00000-of-00001.parquet |
| - split: NanoSummScreenFD |
| path: corpus/NanoSummScreenFD-00000-of-00001.parquet |
| - config_name: queries |
| data_files: |
| - split: Nano2WikiMultihopQA |
| path: queries/Nano2WikiMultihopQA-00000-of-00001.parquet |
| - split: NanoNarrativeQA |
| path: queries/NanoNarrativeQA-00000-of-00001.parquet |
| - split: NanoNeedle |
| path: queries/NanoNeedle-00000-of-00001.parquet |
| - split: NanoPasskey |
| path: queries/NanoPasskey-00000-of-00001.parquet |
| - split: NanoQMSum |
| path: queries/NanoQMSum-00000-of-00001.parquet |
| - split: NanoSummScreenFD |
| path: queries/NanoSummScreenFD-00000-of-00001.parquet |
| default: true |
| - config_name: qrels |
| data_files: |
| - split: Nano2WikiMultihopQA |
| path: qrels/Nano2WikiMultihopQA-00000-of-00001.parquet |
| - split: NanoNarrativeQA |
| path: qrels/NanoNarrativeQA-00000-of-00001.parquet |
| - split: NanoNeedle |
| path: qrels/NanoNeedle-00000-of-00001.parquet |
| - split: NanoPasskey |
| path: qrels/NanoPasskey-00000-of-00001.parquet |
| - split: NanoQMSum |
| path: qrels/NanoQMSum-00000-of-00001.parquet |
| - split: NanoSummScreenFD |
| path: qrels/NanoSummScreenFD-00000-of-00001.parquet |
| - config_name: bm25 |
| data_files: |
| - split: Nano2WikiMultihopQA |
| path: bm25/Nano2WikiMultihopQA-00000-of-00001.parquet |
| - split: NanoNarrativeQA |
| path: bm25/NanoNarrativeQA-00000-of-00001.parquet |
| - split: NanoNeedle |
| path: bm25/NanoNeedle-00000-of-00001.parquet |
| - split: NanoPasskey |
| path: bm25/NanoPasskey-00000-of-00001.parquet |
| - split: NanoQMSum |
| path: bm25/NanoQMSum-00000-of-00001.parquet |
| - split: NanoSummScreenFD |
| path: bm25/NanoSummScreenFD-00000-of-00001.parquet |
| - config_name: harrier_oss_v1_270m |
| data_files: |
| - split: Nano2WikiMultihopQA |
| path: harrier_oss_v1_270m/Nano2WikiMultihopQA-00000-of-00001.parquet |
| - split: NanoNarrativeQA |
| path: harrier_oss_v1_270m/NanoNarrativeQA-00000-of-00001.parquet |
| - split: NanoNeedle |
| path: harrier_oss_v1_270m/NanoNeedle-00000-of-00001.parquet |
| - split: NanoPasskey |
| path: harrier_oss_v1_270m/NanoPasskey-00000-of-00001.parquet |
| - split: NanoQMSum |
| path: harrier_oss_v1_270m/NanoQMSum-00000-of-00001.parquet |
| - split: NanoSummScreenFD |
| path: harrier_oss_v1_270m/NanoSummScreenFD-00000-of-00001.parquet |
| - config_name: reranking_hybrid |
| data_files: |
| - split: Nano2WikiMultihopQA |
| path: reranking_hybrid/Nano2WikiMultihopQA-00000-of-00001.parquet |
| - split: NanoNarrativeQA |
| path: reranking_hybrid/NanoNarrativeQA-00000-of-00001.parquet |
| - split: NanoNeedle |
| path: reranking_hybrid/NanoNeedle-00000-of-00001.parquet |
| - split: NanoPasskey |
| path: reranking_hybrid/NanoPasskey-00000-of-00001.parquet |
| - split: NanoQMSum |
| path: reranking_hybrid/NanoQMSum-00000-of-00001.parquet |
| - split: NanoSummScreenFD |
| path: reranking_hybrid/NanoSummScreenFD-00000-of-00001.parquet |
| language: |
| - en |
| tags: |
| - Long Context |
| - retrieval |
| - nano |
| - information-retrieval |
| - bm25 |
| - dense-retrieval |
| - reranking |
| - hakari-bench |
| dataset_info: |
| - config_name: bm25 |
| features: |
| - name: query-id |
| dtype: string |
| - name: corpus-ids |
| list: string |
| splits: |
| - name: Nano2WikiMultihopQA |
| num_bytes: 641290 |
| num_examples: 200 |
| - name: NanoNarrativeQA |
| num_bytes: 762290 |
| num_examples: 200 |
| - name: NanoNeedle |
| num_bytes: 832482 |
| num_examples: 98 |
| - name: NanoPasskey |
| num_bytes: 837165 |
| num_examples: 100 |
| - name: NanoQMSum |
| num_bytes: 414690 |
| num_examples: 200 |
| - name: NanoSummScreenFD |
| num_bytes: 720490 |
| num_examples: 200 |
| download_size: 4210841 |
| dataset_size: 4208407 |
| - config_name: corpus |
| features: |
| - name: _id |
| dtype: string |
| - name: text |
| dtype: string |
| splits: |
| - name: Nano2WikiMultihopQA |
| num_bytes: 11283128 |
| num_examples: 300 |
| - name: NanoNarrativeQA |
| num_bytes: 116191265 |
| num_examples: 355 |
| - name: NanoNeedle |
| num_bytes: 28226538 |
| num_examples: 800 |
| - name: NanoPasskey |
| num_bytes: 23182064 |
| num_examples: 800 |
| - name: NanoQMSum |
| num_bytes: 10515610 |
| num_examples: 197 |
| - name: NanoSummScreenFD |
| num_bytes: 10373940 |
| num_examples: 336 |
| download_size: 95954462 |
| dataset_size: 199772545 |
| - config_name: harrier_oss_v1_270m |
| features: |
| - name: query-id |
| dtype: string |
| - name: corpus-ids |
| list: string |
| splits: |
| - name: Nano2WikiMultihopQA |
| num_bytes: 641290 |
| num_examples: 200 |
| - name: NanoNarrativeQA |
| num_bytes: 762290 |
| num_examples: 200 |
| - name: NanoNeedle |
| num_bytes: 842815 |
| num_examples: 98 |
| - name: NanoPasskey |
| num_bytes: 831334 |
| num_examples: 100 |
| - name: NanoQMSum |
| num_bytes: 414690 |
| num_examples: 200 |
| - name: NanoSummScreenFD |
| num_bytes: 720490 |
| num_examples: 200 |
| download_size: 4215430 |
| dataset_size: 4212909 |
| - config_name: qrels |
| features: |
| - name: query-id |
| dtype: string |
| - name: corpus-id |
| dtype: string |
| splits: |
| - name: Nano2WikiMultihopQA |
| num_bytes: 4614 |
| num_examples: 200 |
| - name: NanoNarrativeQA |
| num_bytes: 4616 |
| num_examples: 200 |
| - name: NanoNeedle |
| num_bytes: 3362 |
| num_examples: 98 |
| - name: NanoPasskey |
| num_bytes: 3434 |
| num_examples: 100 |
| - name: NanoQMSum |
| num_bytes: 4576 |
| num_examples: 200 |
| - name: NanoSummScreenFD |
| num_bytes: 4631 |
| num_examples: 200 |
| download_size: 18531 |
| dataset_size: 25233 |
| - config_name: queries |
| features: |
| - name: _id |
| dtype: string |
| - name: text |
| dtype: string |
| splits: |
| - name: Nano2WikiMultihopQA |
| num_bytes: 16812 |
| num_examples: 200 |
| - name: NanoNarrativeQA |
| num_bytes: 13155 |
| num_examples: 200 |
| - name: NanoNeedle |
| num_bytes: 7953 |
| num_examples: 98 |
| - name: NanoPasskey |
| num_bytes: 5997 |
| num_examples: 100 |
| - name: NanoQMSum |
| num_bytes: 92566 |
| num_examples: 200 |
| - name: NanoSummScreenFD |
| num_bytes: 123428 |
| num_examples: 200 |
| download_size: 165197 |
| dataset_size: 259911 |
| - config_name: reranking_hybrid |
| features: |
| - name: query-id |
| dtype: string |
| - name: corpus-ids |
| list: string |
| splits: |
| - name: Nano2WikiMultihopQA |
| num_bytes: 215691 |
| num_examples: 200 |
| - name: NanoNarrativeQA |
| num_bytes: 217014 |
| num_examples: 200 |
| - name: NanoNeedle |
| num_bytes: 170732 |
| num_examples: 98 |
| - name: NanoPasskey |
| num_bytes: 167789 |
| num_examples: 100 |
| - name: NanoQMSum |
| num_bytes: 211758 |
| num_examples: 200 |
| - name: NanoSummScreenFD |
| num_bytes: 216907 |
| num_examples: 200 |
| download_size: 1202006 |
| dataset_size: 1199891 |
| --- |
| # NanoLongEmbed |
|
|
| This dataset is a Nano-style retrieval dataset for [HAKARI-bench](https://github.com/hakari-bench/hakari-bench). |
|
|
| NanoLongEmbed contains Nano-style long-context retrieval splits derived from LongEmbed tasks. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset_id = "hakari-bench/NanoLongEmbed" |
| split = "Nano2WikiMultihopQA" |
| |
| 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 | |
| |---|---:|---:|---:|---:|---:|---:|---:|---:|---:| |
| | Nano2WikiMultihopQA | 200 | 300 | 200 | 67.5 | 65.5 | 79.2 | 37445.6 | 31645.5 | 55443.0 | |
| | NanoNarrativeQA | 200 | 355 | 200 | 49.3 | 47.5 | 60.0 | 326753.0 | 252633.0 | 371460.0 | |
| | NanoNeedle | 98 | 800 | 98 | 59.0 | 60.5 | 67.0 | 35246.1 | 12934.5 | 44460.5 | |
| | NanoPasskey | 100 | 800 | 100 | 37.8 | 38.0 | 39.0 | 28956.7 | 10883.0 | 36355.8 | |
| | NanoQMSum | 200 | 197 | 200 | 446.3 | 410.5 | 577.2 | 53335.8 | 50063.0 | 67575.0 | |
| | NanoSummScreenFD | 200 | 336 | 200 | 600.7 | 507.0 | 776.2 | 30854.3 | 29210.0 | 37969.8 | |
|
|
| ## 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 | - | 82.17 | 61.91 | 73.15 | 97.66 | 93.40 | 98.83 | - | 13 | |
| | Nano2WikiMultihopQA | english_porter_stop | 95.03 | 84.00 | 91.11 | 99.00 | 96.50 | 100.00 | 100 | 0 | |
| | NanoNarrativeQA | english_porter_stop | 76.19 | 33.15 | 51.20 | 90.00 | 75.00 | 94.50 | 100-101 | 11 | |
| | NanoNeedle | english_porter_stop | 72.07 | 60.99 | 68.23 | 96.94 | 95.92 | 98.98 | 100-101 | 1 | |
| | NanoPasskey | english_porter_stop | 77.17 | 64.73 | 72.94 | 100.00 | 100.00 | 100.00 | 100 | 0 | |
| | NanoQMSum | english_porter_stop | 74.40 | 36.60 | 60.97 | 100.00 | 96.00 | 99.50 | 100-101 | 1 | |
| | NanoSummScreenFD | english_porter_stop | 98.13 | 91.98 | 94.43 | 100.00 | 97.00 | 100.00 | 100 | 0 | |
|
|
| ## Hybrid Safeguard Summary |
|
|
| - Safeguard positives: 13 |
| - Rows limited by corpus size: 0 |
| - Metadata file: `reranking_hybrid_metadata.json` |
|
|
| ## Source Links |
|
|
| - [LongEmbed source dataset](https://huggingface.co/datasets/dwzhu/LongEmbed) |
|
|
| ## License |
|
|
| NanoLongEmbed is a derived dataset. Users must comply with the licenses, terms, and |
| attribution requirements of the upstream datasets listed above. |
|
|
