Datasets:
Modalities:
Text
Formats:
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Languages:
English
Size:
100K - 1M
ArXiv:
Tags:
multi-hop-question-answering
hotpotqa
evidence-selection
question-decomposition
chain-of-thought
supervised-fine-tuning
License:
Polish dataset card and add centered project artwork
Browse files- README.md +21 -15
- assets/data.png +3 -0
README.md
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</div>
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## At a glance
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"bactrianus/bactrainus-hotpotqa",
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"cot-reader-sft",
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split="train",
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)
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print(dataset.num_rows) # 90447
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print(dataset[0]["messages"])
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```
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For a reproducible experiment, pin the
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```python
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dataset = load_dataset(
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"bactrianus/bactrainus-hotpotqa",
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"structured",
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split="train",
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revision="
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)
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```
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```python
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reader = load_dataset(
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"bactrianus/bactrainus-hotpotqa",
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)
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decomposer = load_dataset(
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"bactrianus/bactrainus-hotpotqa",
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)
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assert set(reader["source_id"]) == set(decomposer["source_id"])
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## Citation
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If you use this training suite, cite
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```bibtex
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@article{barati2025bactrainus,
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year = {2025},
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url = {https://arxiv.org/abs/2501.06286}
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}
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@inproceedings{yang2018hotpotqa,
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title = {{HotpotQA}: A Dataset for Diverse, Explainable Multi-hop Question Answering},
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author = {Yang, Zhilin and Qi, Peng and Zhang, Saizheng and Bengio, Yoshua and Cohen, William W. and Salakhutdinov, Ruslan and Manning, Christopher D.},
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booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
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year = {2018},
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pages = {2369--2380},
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doi = {10.18653/v1/D18-1259}
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}
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```
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## Links
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</div>
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</div>
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<p align="center">
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<img src="assets/data.png" alt="Bactrainus HotpotQA training-data artwork" width="760">
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</p>
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<p align="center">
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<img src="architecture.svg" alt="Bactrainus modular architecture" width="960">
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</p>
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## At a glance
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"bactrianus/bactrainus-hotpotqa",
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"cot-reader-sft",
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split="train",
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revision="v1.0.0",
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)
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print(dataset.num_rows) # 90447
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print(dataset[0]["messages"])
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```
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For a reproducible experiment, pin the immutable release tag:
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```python
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dataset = load_dataset(
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"bactrianus/bactrainus-hotpotqa",
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"structured",
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split="train",
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revision="v1.0.0",
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)
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```
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```python
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reader = load_dataset(
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"bactrianus/bactrainus-hotpotqa",
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"reader-sft",
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split="train",
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revision="v1.0.0",
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)
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decomposer = load_dataset(
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"bactrianus/bactrainus-hotpotqa",
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"question-decomposer-sft",
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split="train",
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revision="v1.0.0",
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)
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assert set(reader["source_id"]) == set(decomposer["source_id"])
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## Citation
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If you use this training suite, cite the Bactrainus article. Retain the
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upstream HotpotQA attribution described in [`ATTRIBUTION.md`](ATTRIBUTION.md)
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when redistributing or adapting the data.
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```bibtex
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@article{barati2025bactrainus,
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year = {2025},
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url = {https://arxiv.org/abs/2501.06286}
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}
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```
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## Links
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assets/data.png
ADDED
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Git LFS Details
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