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Publish the source multi-hop QA corpora used by ToolForge

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - question-answering
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+ - text-generation
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+ language:
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+ - en
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+ tags:
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+ - multi-hop-qa
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+ - tool-calling
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+ - agent
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+ - data-synthesis
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+ pretty_name: ToolForge Source QA
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+ size_categories:
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+ - 100K<n<1M
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+ configs:
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+ - config_name: bridge_hp
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+ data_files: original_data/HotpotQA/bridge_hp.parquet
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+ - config_name: comparison_hp
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+ data_files: original_data/HotpotQA/comparison_hp.parquet
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+ - config_name: bridge_comparison_wiki
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+ data_files: original_data/2WikiMultihopQA/bridge_comparison_wiki.parquet
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+ - config_name: comparison_wiki
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+ data_files: original_data/2WikiMultihopQA/comparison_wiki.parquet
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+ - config_name: compositional_wiki
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+ data_files: original_data/2WikiMultihopQA/compositional_wiki.parquet
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+ - config_name: inference_wiki
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+ data_files: original_data/2WikiMultihopQA/inference_wiki.parquet
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+ ---
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+
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+ # ToolForge — Source QA
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+
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+ The multi-hop question answering corpora that **[ToolForge](https://github.com/Buycar-arb/ToolForge)**
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+ takes as input, in the exact slices used in the paper.
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+
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+ 📄 **Paper** — [arXiv:2512.16149](https://arxiv.org/abs/2512.16149)
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+ 💻 **Code** — [github.com/Buycar-arb/ToolForge](https://github.com/Buycar-arb/ToolForge)
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+
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+ ```bash
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+ git clone https://github.com/Buycar-arb/ToolForge.git && cd ToolForge
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+ pip install -e ".[all]"
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+ python download_data.py
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+ ```
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+
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+ ## Contents
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+
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+ 257,901 questions across six corpora, drawn from HotpotQA and 2WikiMultihopQA.
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+
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+ | corpus | questions | size | question shape |
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+ |---|---:|---:|---|
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+ | `HotpotQA/bridge_hp` | 72,991 | 246.5 MB | bridge: the answer to hop 1 identifies the subject of hop 2 |
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+ | `HotpotQA/comparison_hp` | 17,456 | 52.5 MB | comparison: "which of X and Y…" |
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+ | `2WikiMultihopQA/compositional_wiki` | 76,481 | 134.9 MB | compositional: "the Z of the Y of X" |
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+ | `2WikiMultihopQA/comparison_wiki` | 51,963 | 92.4 MB | comparison |
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+ | `2WikiMultihopQA/bridge_comparison_wiki` | 34,631 | 70.8 MB | bridge *and* comparison combined |
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+ | `2WikiMultihopQA/inference_wiki` | 4,379 | 9.7 MB | inference over family relations |
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+
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+ ## Record schema
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+
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+ ```json
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+ {
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+ "_id": "5a8b57f25542995d1e6f1371",
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+ "question": "Were Scott Derrickson and Ed Wood of the same nationality?",
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+ "answer": "yes",
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+ "type": "comparison",
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+ "context": [
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+ ["Scott Derrickson", ["Scott Derrickson (born 1966) is an American director."]],
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+ ["Ed Wood", ["Edward Davis Wood Jr. was an American director and screenwriter."]]
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+ ],
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+ "supporting_facts": [["Scott Derrickson", 0], ["Ed Wood", 0]]
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+ }
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+ ```
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+
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+ `supporting_facts` is what makes the pipeline work: it splits `context` into the
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+ passages that contain the answer and everything else. ToolForge treats the first
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+ as the evidence a tool call should surface, and runs BM25 over the second to
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+ produce realistic distractors — which is how a *failed* tool call in the
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+ generated data can be genuinely, plausibly unhelpful.
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+
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+ Nested columns are stored as JSON strings so they fit in Parquet. Convert to the
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+ JSONL the pipeline reads with:
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+
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+ ```bash
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+ toolforge convert to-jsonl original_data/HotpotQA
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+ ```
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+
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+ ## Which corpus for which dialogue shape
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+
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+ ToolForge generates 29 dialogue cases in four families, and a corpus can only
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+ produce the families its questions are shaped for. Measured by sampling and
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+ labelling each corpus:
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+
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+ | corpus | → A | → B | → C | → D | good for |
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+ |---|---:|---:|---:|---:|---|
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+ | `inference_wiki` | 93% | 7% | — | — | **A** |
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+ | `comparison_wiki` | — | 100% | — | — | **B** |
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+ | `comparison_hp` | 16% | 84% | — | — | A, **B** |
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+ | `compositional_wiki` | 13% | — | 83% | 3% | **C** |
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+ | `bridge_hp` | 76% | 4% | 20% | — | **A**, C |
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+ | `bridge_comparison_wiki` | 4% | 44% | 36% | 16% | **B, C, D** |
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+
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+ `bridge_comparison_wiki` is the only corpus that reliably yields **D** — label
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+ roughly six times as much of it to get a comparable number of D samples.
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+ Details in [`docs/choosing-source-data.md`](https://github.com/Buycar-arb/ToolForge/blob/main/docs/choosing-source-data.md).
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{chen2025toolforge,
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+ title={ToolForge: A Data Synthesis Pipeline for Multi-Hop Search without Real-World APIs},
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+ author={Chen, Hao and Hu, Zhexin and Chai, Jiajun and Yang, Haocheng and He, Hang and Wang, Xiaohan and Lin, Wei and Wang, Luhang and Yin, Guojun and others},
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+ journal={arXiv preprint arXiv:2512.16149},
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+ year={2025}
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+ }
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+ ```
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+
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+ Please also cite the original datasets:
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+ [HotpotQA](https://arxiv.org/abs/1809.09600) ·
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+ [2WikiMultihopQA](https://arxiv.org/abs/2011.01060)
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