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Improve dataset card: Add task category, tags, and paper link

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by nielsr HF Staff - opened
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  ---
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  language:
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  - en
 
 
 
 
 
 
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- CosmoPaperQA is an evaluation dataset, designed to serve as a benchmark for RAG applications with cosmology papers, with an emphasis on testing for fetching, interprative and explanatory skills.
 
 
 
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  The information sources for the questions and ideal answers are these 5 papers:
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  1) [Planck Collaboration, Planck 2018 results. VI. Cosmological parameters, Astron.Astrophys. 641 (2020) A6](https://arxiv.org/abs/1807.06209v4)
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  2) [Villaescusa-Navarro et al., The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations, Astrophys.J. 915 (2021) 71](https://arxiv.org/abs/2010.00619v2)
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  3) [Villaescusa-Navarro et al., Cosmology with one galaxy? Astrophys.J. 929 (2022) 2, 132](https://arxiv.org/abs/2201.02202v1)
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- 4) [Riess et al., A 2.4% Determination of the Local Value of the Hubble Constant, Astrophys.J. 826 (2016) 1, 56](https://arxiv.org/abs/1604.01424v3)
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- 5) [Calabrese et al., The Atacama Cosmology Telescope: DR6 Constraints on Extended Cosmological Models, arXiv:2503.14454v1 (2025)](https://arxiv.org/abs/2503.14454v1)
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  language:
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  - en
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+ task_categories:
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+ - question-answering
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+ tags:
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+ - astrophysics
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+ - cosmology
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+ - rag
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  ---
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+ This repository contains CosmoPaperQA, an evaluation dataset presented in the paper [Evaluating Retrieval-Augmented Generation Agents for Autonomous Scientific Discovery in Astrophysics](https://huggingface.co/papers/2507.07155).
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+ CosmoPaperQA is an evaluation dataset, designed to serve as a benchmark for RAG applications with cosmology papers, with an emphasis on testing for fetching, interpretive and explanatory skills.
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  The information sources for the questions and ideal answers are these 5 papers:
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  1) [Planck Collaboration, Planck 2018 results. VI. Cosmological parameters, Astron.Astrophys. 641 (2020) A6](https://arxiv.org/abs/1807.06209v4)
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  2) [Villaescusa-Navarro et al., The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations, Astrophys.J. 915 (2021) 71](https://arxiv.org/abs/2010.00619v2)
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  3) [Villaescusa-Navarro et al., Cosmology with one galaxy? Astrophys.J. 929 (2022) 2, 132](https://arxiv.org/abs/2201.02202v1)
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+ 4) [Riess et al., A 2.4% Determination of the Local Value of the Hubble Constant, Astrophys.J. 826 (2016) 1, 56](https://arxiv.org/abs/1604.01424v3)
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+ 5) [Calabrese et al., The Atacama Cosmology Telescope: DR6 Constraints on Extended Cosmological Models, arXiv:2503.14454v1 (2025)](https://arxiv.org/abs/2503.14454v1)