Large Vietnamese Legal Queries for Document Retrieval

A dataset of Vietnamese legal queries, likely for improving document retrieval systems. It was created by the authors cited in the 2025 Springer conference paper 'Improving Vietnamese Legal Document Retrieval Using Synthetic Data' and is hosted on Hugging Face. The dataset's specific scale and content details are available on its platform page.

Use Cases

• Train or fine-tune legal document retrieval models based on Vietnamese queries.
• Benchmark the performance of information retrieval systems on Vietnamese legal text.
• Generate or augment synthetic training data for legal NLP tasks as suggested by the paper's title.
• Study the characteristics of legal information-seeking queries in Vietnamese.

Strengths

• Associated with a peer-reviewed publication from a 2025 academic conference.
• Focuses on a specific, high-value domain (Vietnamese legal text).

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Authors: Pham Tien Son, Nguyen Doan Hieu, Nguyen Dai An, Dinh Viet Sang.

Collection Method

Likely created for the research described in the 2025 Springer conference paper.

Time Range

null

Freshness

Last updated 2025-07-07 07:47:18; freshness should be verified.

Geography

Vietnam (implied by language focus).