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The AnesBench Datasets Collection comprises three distinct datasets: AnesBench, an anesthesiology reasoning benchmark; AnesQA, an SFT dataset; and AnesCorpus, a continual pre-training dataset. This repository pertains to AnesCorpus. For AnesBench and AnesQA, please refer to their respective links: https://huggingface.co/datasets/MiliLab/AnesBench and https://huggingface.co/datasets/MiliLab/AnesQA.
AnesCorpus
AnesCorpus is a large-scale, domain-specific corpus constructed for Continuous Pre-training (CPT) in the field of anesthesiology. It is built from two primary sources:
- Domain-specific filtering from large-scale corpora such as FineWeb, using keyword-based heuristics.
- PubMed research articles related to anesthesiology, processed through rigorous cleaning and formatting to ensure high relevance and quality.
| Language | Rows | Tokens |
|---|---|---|
| English | ~1.59M | ~3B |
| Chinese | ~593K | ~0.2B |
This curated dataset provides a rich foundation for pretraining language models to understand anesthesiology-related concepts, terminology, and clinical context.
Recommended Usage
This dataset and AnesQA are compatible with a wide range of instruction-tuned language models and popular training frameworks.
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