Dataset · Hugging Face

AIML-VU/MEDLINE-S1-LT

Name: MEDLINE-S1-LT
Creator: AIML-VU
License: cc-by-4.0
Keywords: task_categories:text-classification, language:lt, license:cc-by-4.0, size_categories:10K<n<100K, format:json, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2610.02486, arxiv:2207.04672, region:us, biomedical

MEDLINE-S1-LT MEDLINE-S1-LT is a Lithuanian translation of pritamdeka/MEDLINE-S1. MEDLINE-S1 is a set of typed decisions over PubMed abstracts. Each abstract has several questions about it: the study design, the main disease area, and yes/no questions about humans, animals, adverse effects, drug therapy and two age or sex groups. Every label comes from NLM's MeSH indexing and publication types, so no language model was involved in labelling. It is the training and evaluation set… See the full description on the dataset page: https://huggingface.co/datasets/AIML-VU/MEDLINE-S1-LT.

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Author / organization	AIML-VU
License (as declared)	cc-by-4.0
Downloads	0 (as reported by Hugging Face)
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Created	18 October 2026
Last updated at source	18 October 2026

biomedicalpubmedmeshtyped-decisionscalibrationlithuaniantranslation

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AIML-VU/laya-multilingual-lt-medModel · used to train
From Retrieval to Typed Decisions: Calibrated System One Models from Biomedical Sentence EncodersPaper · cites
AIML-VU/medgemma-1.5-4b-it-decitions-lt-medModel · used to train

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Related papers

From Retrieval to Typed Decisions: Calibrated System One Models from Biomedical Sentence EncodersPaper

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