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.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+license: mit
+language:
+- ja
+- en
+tags:
+- mathematics
+- synthetic
+- japanese
+- retrieval
+task_categories:
+- question-answering
+pretty_name: LongBook Math 1M (JA synthetic)
+size_categories:
+- 100K<n<1M
+---
+
+# LongBook Math 1M (Japanese synthetic mathematics dataset)
+
+1,000,000 deterministic synthetic Japanese mathematics documents for retrieval evaluation
+and generic-model RAG, built for [LongBook](https://github.com/Summer110622/LongBook).
+
+- Format: JSONL, one document per line: `{id, namespace, text, metadata{domain, difficulty, lang, kind, index}}`
+- `id` = `math-{domain}-{index:07d}`, unique and sortable.
+- `text` structure (Japanese): 【分野】/【問題 id】/【解法】/【答え】/【キーワード】/【確認】
+- Answers are **computed in Python by the generator, not hallucinated**.
+- 8 domains × 3 difficulties: `arithmetic / algebra / calculus / linear_algebra / probability / geometry / number_theory / logic_sets`
+- Generator: `dataset/build_math_dataset.py` (`--seed 42`), FTS5 ingest via `dataset/bulk_ingest_math_dataset.py`.
+- Reading guide for sub-agents: `dataset/MATH_SUBAGENT.md` (model-agnostic, default `Qwen/Qwen3.5-9B`).
+
+## Usage (datasets)
+
+```python
+from datasets import load_dataset
+ds = load_dataset("summerMC/LongBook-math-1M", split="train")
+print(ds[0])
+```
+
+## Usage (LongBook retrieval)
+
+```bash
+python3 dataset/ingest_math_dataset.py --input <downloaded dir> --namespace math --db ./data/longbook.sqlite3
+curl http://127.0.0.1:30000/v1/longbook/search \
+  -H 'Content-Type: application/json' \
+  -d '{"query":"二次方程式 因数分解","namespace":"math","top_k":5}'
+```

manifest.json

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+  "count": 1000000,
+  "start": 0,
+  "shards": 32,
+  "seed": 42,
+  "total_chars_approx": 429129566,
+  "domains": [
+    "arithmetic",
+    "algebra",
+    "calculus",
+    "linear_algebra",
+    "probability",
+    "geometry",
+    "number_theory",
+    "logic_sets"
+  ],
+  "format": "jsonl(id,namespace,text,metadata)"
+}

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