BharatCRIC: Indian Climate Disaster Data with Heatwave Advisories and Scam Pairs

BharatCRIC is an Indian climate disaster dataset generated by scripts/grade_a_rebuild.py with blueprint grade_a_2026_04_30. It contains 1680 rows of structured instruction data and mirrored genuine-vs-scam preference pairs, as described by author sahilmaniyar888. The dataset was last updated on 30 April 2026.

Use Cases

• Training instruction-following models based on structured climate advisories.
• Analyzing patterns in climate-related scam communications mentioned in the description.
• Developing preference-tuning datasets for distinguishing genuine from scam content.
• Conducting multilingual analysis using the 5-language smoke test data.

Strengths

• Contains 1680 rows of structured instruction data.
• Includes a 50-row multilingual smoke test covering 5 languages.
• Last update timestamp is explicitly provided: 2026-04-30 10:26:58.

Limitations

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

Provenance

Source

huggingface, author sahilmaniyar888

Collection Method

Generated by scripts/grade_a_rebuild.py with blueprint grade_a_2026_04_30.

Time Range

Blueprint dated 2026-04-30.

Freshness

Last updated 2026-04-30 10:26:58.

Geography

India