Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
License:
Add link to paper
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by
nielsr
HF Staff
- opened
README.md
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This dataset contains 50k real-world literature synthesis queries from [our public demo](https://openscilm.allen.ai/).
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### Dataset Summary
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This dataset contains real-world literature synthesis questions collected from users of a scientific question-answering system.
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Each entry includes:
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This dataset contains 50k real-world literature synthesis queries from [our public demo](https://openscilm.allen.ai/).
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The demo was introduced in the paper [OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs](https://huggingface.co/papers/2411.14199).
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### Dataset Summary
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This dataset contains real-world literature synthesis questions collected from users of a scientific question-answering system.
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Each entry includes:
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