Sri Lankan Statutory Law Question Answering Dataset

1,000 text entries form a question-answering dataset focused on Sri Lankan statutory law. Created by a Hugging Face user, this collection was last updated in July 2025. It is designed for training and evaluating models on legal text comprehension.

Use Cases

• Fine-tuning a BERT model to answer legal questions based on statutory text passages.
• Evaluating the accuracy of large language models on domain-specific legal question-answering tasks.
• Training a retrieval-augmented generation (RAG) system to find relevant law sections for user queries.

Strengths

• Contains 1,000 entries as indicated by the title.
• Focuses on a specific legal domain (Sri Lankan statutory law).
• Hosted on a major platform with a recent update in July 2025.

Limitations

• Small scale with only 1,000 entries, limiting model training potential.
• Unknown column structure and lack of sample data hinders immediate usability.
• Potential geographic bias, being focused solely on Sri Lankan law.

Provenance

Source

Hugging Face user 'hasinthakapiyumal'.

Collection Method

Assembled for legal question answering, specific methodology unknown.

Freshness

Last updated on 2025-07-08.

Geography

SOUTH ASIA, specifically Sri Lanka (implied by 'Sl Law').