Datasets:

MiliLab
/

AnesCorpus

task_categories:
  - text-generation
language:
  - zh
  - en
tags:
  - chemistry
  - medical
size_categories:
  - 1M<n<10M
viewer: true
configs:
  - config_name: default
    data_files:
      - split: AnesCorpus_en
        path:
          - AnesCorpus_en-*.parquet
      - split: AnesCorpus_zh
        path:
          - AnesCorpus_zh-*.parquet
license: c-uda

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.