Datasets:
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https://huggingface.co/datasets/ByteDance/Traverse-AutoGen/resolve/main/README.md
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1.38 kB
| pretty_name: Traverse-AutoGen | |
| language: | |
| - en | |
| - zh | |
| license: cc-by-4.0 | |
| task_categories: | |
| - question-answering | |
| size_categories: | |
| - 1K<n<10K | |
| # Traverse-AutoGen | |
| Traverse-AutoGen is a publicly released subset of the automatically generated information-seeking question-answer pairs used in the Traverse training pipeline. It contains 8,617 examples. | |
| The dataset is provided in `data/train.jsonl`. Each JSON object contains: | |
| - `id`: unique example identifier | |
| - `question`: question text | |
| - `ground_truth`: list of reference answers | |
| - `difficulty`: difficulty label (`easy`, `medium`, or `hard`) | |
| Automatically generated questions and reference answers may contain errors, ambiguity, or outdated information. | |
| ## Citation | |
| If you use Traverse-AutoGen, please cite: | |
| ```bibtex | |
| @misc{ma2026traverselearningrememberreset, | |
| title={Traverse: Learning When to Remember, Reset, and Redirect for Long-Horizon Web Search}, | |
| author={Jingyuan Ma and Lynx Aster and He Zhang and Siyao Song and Weijie Yuan and Zhe Zhang and Kai Jia and Zhifang Sui}, | |
| year={2026}, | |
| eprint={2609.37082}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL}, | |
| url={https://arxiv.org/abs/2609.37082}, | |
| } | |
| ``` | |
| ## License | |
| This dataset is released under the [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/) license (CC BY 4.0). | |