Datasets:
metadata
license: mit
task_categories:
- text-retrieval
- question-answering
- sentence-similarity
- text-generation
- text-classification
language:
- vi
tags:
- sentence-transformers
- transformers
- PyTorch
- law
- dense-retrieval
- semantic-search
- benchmark
- domain-specific
- mteb
size_categories:
- 100K<n<1M
pretty_name: Vietnamese Legal Documents Dataset
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
| column | type | description |
|---|---|---|
cid |
int | Unique identifier for each document |
text |
string | Full text of a legal document (Vietnamese) |
3.2 Train / Test Splits
train.parquet / test.parquet
| column | type | description |
|---|---|---|
qid |
int | Unique query identifier |
question |
string | Natural-language legal query in Vietnamese |
cid |
list | List of relevant document IDs (subset of corpus.cid) |
context_list |
list | List of text passages mapped from cid (aligned by index with cid field) |
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.