Malaysian Semantic Transaction Dataset for NLP Finance Chatbots

Malaysian Semantic Transaction Dataset is an NLP dataset designed for finance chatbot and transaction analysis. The dataset's size, specific contents, and creation details are not provided. Its last update date and licensing information are unknown.

Use Cases

• Train a finance chatbot based on transaction-related language patterns.
• Analyze transaction semantics for financial services based on textual descriptions.
• Benchmark NLP models for financial text understanding in Malaysian language contexts.

Strengths

• Dataset is explicitly designed for NLP tasks in the finance domain.
• Focuses on Malaysian language and transaction context, which may fill a niche.

Limitations

• Row count, column definitions, and file formats are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Last update date is unknown; freshness unverified.

Provenance

Geography

Malaysia