ViBidLQA: Vietnamese Bidding Law Question-Answering Dataset

ViBidLQA is a high-quality Vietnamese legal question-answering dataset curated from the Vietnamese Bidding Law (No. 22/2023/QH15) and its Implementation Decree (No. 24/2024/NĐ-CP). It was developed by author ntphuc149 to support extractive and abstractive QA tasks and serve as a benchmark for Vietnamese Legal QA systems. The dataset was last updated on Hugging Face on July 7, 2025.

Use Cases

• Train extractive question-answering models based on the legal text corpus.
• Benchmark abstractive question-answering systems for Vietnamese legal documents.
• Evaluate the performance of legal domain-specific language models on Vietnamese text.
• Support research in machine comprehension of structured legal regulations.

Strengths

• Dataset is specifically curated from two authoritative legal sources: Law No. 22/2023/QH15 and Decree No. 24/2024/NĐ-CP.
• Designed to support both extractive and abstractive QA tasks, providing a dual-purpose benchmark.
• Last update timestamp (2025-07-07) is provided, indicating recent maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• The description references a full page on Hugging Face, suggesting core metadata is incomplete here.

Provenance

Source

Vietnamese Bidding Law (No. 22/2023/QH15) and its Implementation Decree (No. 24/2024/NĐ-CP).

Collection Method

Curated from legal texts, likely for QA task construction.

Freshness

Last updated 2025-07-07 16:59:30

Geography

Vietnam