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feat: build production-ready Khmer Document Corpus v0.2.0 with Typer CLI, PyMuPDF, Polars, and DI architecture
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Dataset Card – Khmer Document Corpus

This document provides additional technical detail for the HuggingFace Dataset Card.

Dataset Summary

The Khmer Document Corpus is an open-source collection of PDF documents targeting Document AI research for Khmer and multilingual Khmer-English documents.

Supported Tasks

  • Document Classification
  • OCR / Text Recognition
  • Document Layout Analysis
  • Table Recognition
  • Font Recognition
  • Information Extraction
  • Vision-Language Modelling

Languages

Code Language
km Khmer
en English
mixed Mixed Khmer-English

Dataset Structure

khmer-document-corpus/
├── metadata/          # JSON metadata per document
├── pdf/               # Raw PDF files (tracked via Git LFS)
├── preview/           # Page preview PNG images
├── datasets/          # HuggingFace loading script
└── scripts/           # Utility scripts

Source Data

Documents are collected from publicly available government publications, universities, open-access research, and legal public forms.

Annotations

Currently, only raw PDFs and metadata stubs are included (v0.1). Future versions will include OCR, layout, table, and font annotations.

Licensing

The dataset organization and metadata are licensed under CC BY 4.0.
Individual documents retain their original licenses; see each document's license metadata field.

Citation

@dataset{khmer_document_corpus_2026,
  title={Khmer Document Corpus},
  author={Darachhat},
  year={2026},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/Darachhat/khmer-document-corpus}
}