Datasets:

harvardairobotics
/

MedConclusion-Compact

Tasks:

Text Generation

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ArXiv:

Tags:

conclusion-generation

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 **MedConclusion** is a large-scale dataset of 5.7M PubMed structured abstracts for biomedical conclusion generation. Each instance pairs the non-conclusion sections of an abstract with the original author-written conclusion, providing naturally occurring supervision for evidence-to-conclusion reasoning. MedConclusion also includes journal-level metadata such as biomedical category and SJR, enabling subgroup analysis across biomedical domains.
-This repository contains the **Compact** version of the dataset, designed for faster evaluation and model prototyping.
 - **Train**: 100,000 instances
 - **Validation**: 10,000 instances

 **MedConclusion** is a large-scale dataset of 5.7M PubMed structured abstracts for biomedical conclusion generation. Each instance pairs the non-conclusion sections of an abstract with the original author-written conclusion, providing naturally occurring supervision for evidence-to-conclusion reasoning. MedConclusion also includes journal-level metadata such as biomedical category and SJR, enabling subgroup analysis across biomedical domains.
+This repository contains the **Compact** version of the dataset, designed for faster evaluation and model prototyping. For the full dataset (5.7M instances), please check out the [**Full Version**](https://huggingface.co/datasets/harvardairobotics/MedConclusion).
 - **Train**: 100,000 instances
 - **Validation**: 10,000 instances