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README.md
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## Description
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BAI-SCIEVAL is an evaluation benchmark for large language models in the scientific domain. It consists of approximately 18,000 objective evaluation questions and few subjective questions, covering the fundamental scientific fields of chemistry, physics, and biology. This benchmark assesses the understanding and generation capabilities of large language models in scientific content from four aspects: basic knowledge, knowledge application, scientific calculation, and research ability.
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* *dynamic_chem.json* and *dynamic_phy.json* is the dynamic data, which is a re-generated version and is different from the data we used in the leaderboard. We will update it regularly.
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* *eval_dynamic.py* is the evalution code for the dynamic data. To use this script, you need to add *"pred"* key directly to the original dynamic data.
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<p align="center"> <img src="assets/title.png" style="width: 85%;" id="title-icon"> </p>
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<p align="center">
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🌐 <a href="https://bai-scieval.duiopen.com/#/" target="_blank">Website</a> • 🤗 <a href="https://huggingface.co/datasets/OpenDFM/BAI-SciEval" target="_blank">Hugging Face</a>
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</p>
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## Description
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BAI-SCIEVAL is an evaluation benchmark for large language models in the scientific domain. It consists of approximately 18,000 objective evaluation questions and few subjective questions, covering the fundamental scientific fields of chemistry, physics, and biology. This benchmark assesses the understanding and generation capabilities of large language models in scientific content from four aspects: basic knowledge, knowledge application, scientific calculation, and research ability.
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}]
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```
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* *dynamic_chem.json* and *dynamic_phy.json* is the dynamic data, which is a re-generated version and is different from the data we used in the leaderboard. We will update it regularly.
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* *eval_dynamic.py* is the evalution code for the dynamic data. To use this script, you need to add *"pred"* key directly to the original dynamic data.
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assets/title.png
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Git LFS Details
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