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Add dataset card

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+ ---
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+ license: cc-by-sa-3.0
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+ task_categories:
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+ - question-answering
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+ - text-retrieval
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+ language:
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+ - en
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+ tags:
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+ - wikipedia
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+ - agentic-search
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+ - retrieval
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+ - offline-index
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+ pretty_name: SimpleWikiSearch
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+ size_categories:
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+ - 10M<n<100M
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+ ---
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+
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+ # SimpleWikiSearch Indexes
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+
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+ Offline Wikipedia indexes for [SimpleWikiSearch](https://github.com/JimXiongGM/simple_wiki_search) (arXiv:[2607.26070](https://arxiv.org/abs/2607.26070)).
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+
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+ These files are **binary search indexes** (not row-oriented tables). Download and extract them locally; they are not intended for `load_dataset()`.
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+
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+ Paper page: https://huggingface.co/papers/2607.26070
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+
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+ ## Files
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+
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+ | Archive | Size (approx.) | Contents |
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+ |---------|----------------:|----------|
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+ | `enwiki-20260601-tantivy-chunk-1536.tar.zst` | ~22 GB | Tantivy keyword index + chunk text store |
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+ | `enwiki-20260601-faiss-hnsw-Qwen3-Embedding-0.6B.tar.zst` | ~19 GB | FAISS HNSW dense index (`Qwen3-Embedding-0.6B`, dim=1024, fp16) |
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+
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+ Corpus snapshot: `enwiki-20260601` — **7,189,602** articles / **10,837,506** section-aware chunks (target 1536 tokens).
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+
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+ ## Extract
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+
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+ ```bash
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+ tar -I zstd -xf enwiki-20260601-faiss-hnsw-Qwen3-Embedding-0.6B.tar.zst
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+ tar -I zstd -xf enwiki-20260601-tantivy-chunk-1536.tar.zst
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+ ```
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+
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+ Expected layout:
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+
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+ ```text
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+ data/database/wikipedia-index/enwiki-20260601/
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+ faiss/hnsw-Qwen3-Embedding-0.6B-chunk-1536-fp16/
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+ index.faiss
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+ ids.pkl
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+ tantivy/chunk-1536/
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+ chunks/
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+ titles/
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+ ```
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+
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+ Full setup (embedding server, MCP tools, QA agent): see [deploy.md](https://github.com/JimXiongGM/simple_wiki_search/blob/main/deploy.md) in the GitHub repo.
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+
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+ ## License
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+
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+ Wikipedia text is available under [CC BY-SA 3.0](https://creativecommons.org/licenses/by-sa/3.0/). Indexes derived from that dump inherit the same license obligations.
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{xiong2026simplewikisearchcleanofflinewikipedia,
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+ title={SimpleWikiSearch: A Clean Offline Wikipedia Environment for Agentic Search},
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+ author={Guanming Xiong and Penghui Zhang},
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+ year={2026},
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+ eprint={2607.26070},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.IR},
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+ url={https://arxiv.org/abs/2607.26070},
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+ }
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+ ```