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nakulrampal/RetChemQA

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Permissive or share-alike

The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at 0d537c8
Licence files: LICENSE, detected as mitEvidence: LICENSE at 0d537c8
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

question-answering

Citation text from the card

More details about the RetChemQA dataset are given in the following [paper](https://pubs.acs.org/doi/full/10.1021/acs.jctc.4c00805):

**Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo** <br/>
Nakul Rampal, Kaiyu Wang, Matthew Burigana, Lingxiang Hou, Juri Al-Johani, Anna Sackmann, Hanan S. Murayshid, Walaa A. AlSumari, Arwa M. AlAbdulkarim, Nahla E. AlHazmi, Majed O. Alawad, Christian Borgs, Jennifer T. Chayes, Omar M. Yaghi, Journal of Chemical Theory and Computation, 2024 <br/>

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dataset_licence({ "id": "nakulrampal/RetChemQA" })
signal: "permissive"
stated_licence: "mit"
sources: 0