YuITC/Vietnamese-Legal-Documents

Vietnamese Legal Documents Dataset

1. Dataset Summary

Raw data: tmnam20/BKAI-Legal-Retrieval

The Vietnamese Legal Documents Dataset is a benchmark dataset designed for legal information retrieval in the Vietnamese language. It consists of:

• —A corpus of legal documents.
• —Train/test splits containing natural language queries and their corresponding relevant documents.

This dataset is intended to support research and development in:

• —Information Retrieval (IR)
• —Retrieval-Augmented Generation (RAG)
• —Vietnamese Legal NLP

2. Supported Tasks and Use Cases

The dataset can be used for the following tasks:

• —Information Retrieval (IR) Retrieve relevant legal documents given a natural-language query.

• —Question Answering over Documents Serve as a retrieval component in QA systems, where retrieved documents are used as grounding context for downstream models (e.g., LLMs).

• —Legal NLP Research Benchmark and evaluate models in a domain-specific, Vietnamese legal setting.

3. Dataset Structure

3.1 Corpus

corpus.parquet

3.2 Train / Test Splits

train.parquet / test.parquet

4. Example Usuage:

from datasets import load_dataset

ds = load_dataset("YuITC/Vietnamese-Legal-Doc-Retrieval-Data")

print(ds["train"][0])
# {
#   "qid": 72600,
#   "question": "Liên đoàn Luật sư Việt Nam là tổ chức ...",
#   "context_list": ["Điều 2. Địa vị pháp lý của Liên đoàn Luật sư Việt Nam\n1. Liên đoàn Luật sư ..."]
#   "cid": [142820]
# }

5. Limitations

• —The dataset does not fully cover the entire Vietnamese legal system.
• —Legal texts contain domain-specific terminology, which may be challenging for non-expert users and models.