Paper-to-Field Training Dataset (200K DeepSeek-annotated Scientific Abstracts)
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资源简介：
~200K domain-balanced scientific paper abstracts with DeepSeek-verified field labels, sourced from OpenAlex bulk data. Used to train the paper-to-field topic classifier for the NIH S-Index Challenge. Records include: title, abstract, DeepSeek-assigned field/domain labels, confidence scores, and original OpenAlex labels for comparison.
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Zenodo创建时间：
2026-05-16
