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README.md

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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.
+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.
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+### AnesCorpus
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+**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:
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+- **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.
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+| Language | Rows    | Tokens   |
+|----------|---------|----------|
+| English  | ~1.59M  | ~3B      |
+| Chinese  | ~593K   | ~0.2B    |
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+This curated dataset provides a rich foundation for pretraining language models to understand anesthesiology-related concepts, terminology, and clinical context.