| --- |
| license: apache-2.0 |
| task_categories: |
| - question-answering |
| language: |
| - en |
| tags: |
| - rag |
| - cacheblend |
| - multi-hop |
| - kv-cache |
| size_categories: |
| - n<1K |
| --- |
| |
| # CacheBlend RAG Extended |
|
|
| Multi-hop QA splits derived from MuSiQue and 2WikiMQA (as bundled in the |
| [official CacheBlend repo](https://github.com/YaoJiayi/CacheBlend)), augmented |
| with extra distractor chunks per query so that each example carries **20 |
| context passages** instead of the original 10. |
|
|
| Designed to amplify the contrast between `full_reuse` (no cross-chunk |
| attention -> quality drop) and `cacheblend` (selective KV recompute -> |
| quality recovers) while preserving the multi-hop questions and gold |
| short answers. |
|
|
| ## Splits |
|
|
| | split | n | chunks/query | ~tokens/chunk | gold preserved vs source | structural preservation | CacheBlend ready | |
| |---|---|---|---|---|---|---| |
| | `musique` | 150 | 20 | 598 | 100.00% | 100% | PASS | |
| | `wikimqa` | 200 | 20 | 560 | 103.81% | 100% | PASS | |
|
|
| ## Schema |
|
|
| Each row matches the bundled CacheBlend JSON format: |
|
|
| ```json |
| { |
| "question": "Where was the author of Hannibal and Scipio educated at?", |
| "ctxs": [ |
| {"title": "<wiki title>", "text": "<512-token passage>"}, |
| ... // 20 entries |
| ], |
| "answers": ["Exeter College"] |
| } |
| ``` |
|
|
| ## How it was built |
|
|
| 1. Start from `musique_s.json` (150 ex) and `wikimqa_s.json` (200 ex) — both |
| already have the multi-hop questions and 10 gold/distractor passages |
| per query that the CacheBlend paper used. |
| 2. For each query, sample 10 additional chunks from OTHER queries in the |
| same source (no chunk is reused twice within a query; titles deduped). |
| 3. Shuffle the resulting 20 chunks so gold evidence is not always first. |
| 4. Verify (per row): (i) chunks/query == 20, (ii) at least one gold-answer |
| substring is preserved across the 20 chunks. |
|
|
| Reproduce with `scripts/build_cacheblend_dataset.py --extra 10` in |
| [mkim0628/experiment-reproducer](https://github.com/mkim0628/experiment-reproducer). |
|
|
| ## Suitability gates |
|
|
| The build script runs three CacheBlend-relevance checks. All splits must |
| pass before upload: |
|
|
| - `chunks_per_query_ge_10`: at least 10 passages so KV reuse pays off |
| - `gold_preservation_ratio_ge_0.95`: ≥95 % of queries still have the |
| gold-answer substring after distractor injection |
| - `chunk_size_within_paper_range_300_800_tokens`: chunk length matches |
| the paper's 512-token spec |
|
|
| See `suitability_report.json` for the per-split numbers. |
|
|
