spadeMIA/BioMedical_Corpus_1024_2040

PMC 1024-2040 Biomedical Fine-Tuning Corpus Summary This is a cleaned biomedical long-text corpus for autoregressive language-model fine-tuning, held-out evaluation, and membership-inference experiments. split rows role train 10,000 fine-tuning (membership-positive population) test 1,000 held-out (membership-negative population) evaluation 700 balanced membership-inference set: 350 members and 350 non-members The test split is the full 1… See the full description on the dataset page: https://huggingface.co/datasets/spadeMIA/BioMedical_Corpus_1024_2040.

<iframe src="https://silytics.si/embed/item/aacfb6df-eb7e-4e89-8407-edf4e4f5fc85" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.