Datasets:
File size: 1,680 Bytes
c45a08e f76a412 0aa6320 f76a412 c19574e 0aa6320 f76a412 c19574e 0087d84 ee4fd5d f1020ba 93de3bb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | ---
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](https://huggingface.co/datasets/HuggingFaceFW/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. |