ViLegalTexts: A 16GB Vietnamese Legal Pre-training Corpus

This repository contains the pre-training corpus used to train ViLegalLM. The corpus was crawled from four publicly available Vietnamese legal repositories: Thư Viện Pháp Luật (TVPL), Văn Bản Pháp Luật (VBPL), LuatVietnam, and LawNet. For full details, please refer to the paper: Read paper

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📋 Overview

Property	Value
Language	Vietnamese
Domain	Legal
Corpus size	16 GB
Format	.zip containing multiple .txt files
Sources	4 public Vietnamese legal repositories
License	Apache 2.0

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🔧 Data Processing Pipeline

The raw corpus underwent a 4-stage preprocessing pipeline:

Content Extraction → Text Cleaning → Language Identification → Deduplication

For full details of each stage, please refer to the paper.

The final corpus is distributed as .zip files, each containing multiple .txt files (one document per file), with a total uncompressed size of 16 GB.

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🚀 Usage

Clone this repository

apt-get install -y git-lfs
git lfs install

git clone https://your_username:YOUR_HF_TOKEN@huggingface.co/datasets/ntphuc149/ViLegalText

Unzip pre-training corpus

import os

os.makedirs("/process", exist_ok=True)
zip_path = f"/ViLegalText/ViLegalText.zip"
print(f"📦 Giải nén: ViLegalText.zip")
os.system(f'unzip -q "{zip_path}" "*.txt" -d /process/')

print("✅ Xong!")

Preview a sample file

with open("/process/doc_0.txt", encoding="utf-8") as f:
    print(f.read())

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🤖 Models Trained on This Corpus

This corpus was used to continually pretrain the following models, all publicly available:

Model	Architecture	Parameters	Max Length	HuggingFace
ViLegalBERT	Encoder-only (MLM)	135M	256	ntphuc149/ViLegalBERT
ViLegalQwen2.5-1.5B-Base	Decoder-only (CLM)	1.54B	2,048	ntphuc149/ViLegalQwen2.5-1.5B-Base
ViLegalQwen3-1.7B-Base	Decoder-only (CLM)	1.72B	4,096	ntphuc149/ViLegalQwen3-1.7B-Base

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📄 Citation

If you use this corpus in your research, please cite:

UPDATE SOON!

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⚠️ Intended Use & Limitations

• This corpus is intended for research purposes in Vietnamese legal NLP.
• Documents are collected from publicly available Vietnamese legal repositories. No personally identifiable information is included.
• Models trained on this corpus are not intended to replace professional legal counsel. Users should not rely solely on model outputs for consequential legal decisions without qualified professional consultation.
• The corpus may inherit biases present in the source repositories, including temporal bias, regional variations, and domain coverage imbalances.

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🔗 Related Resources

• GitHub: ViLegalLM
• ViLegalLM Models: ViLegalBERT, ViLegalQwen2.5-1.5B-Base, ViLegalQwen3-1.7B-Base,
• Synthetic Datasets: ViLegalTF, ViLegalMCQ, ViLegalNLI