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README.md

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+---
+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.