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flood_infrastructure_mapping
Hugging Face dataset ChidiAbajue/flood_infrastructure_mapping
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What's in it
- Data offered llm-inferred
- administrative boundary attributes (schema columns GID_0, COUNTRY, NAME_1, NAME_2, HASC_1, ISO_1); flood infrastructure content not verified
- Coverage llm-inferred
- Global (per ENTRY regions; not stated in DOCS)
- Formats llm-inferred
- JSON
- Access docs-verified
- Public and not gated (no login needed to view the dataset page); licence apache-2.0
Useful for
- Use cases llm-inferred
- Mapping admin-region codes (GID, HASC, ISO) to study-area names for flood risk assessment reporting · Joining region attributes to drainage or flood asset datasets by GID before a screening exercise · Checking region naming and code consistency across countries before a multi-country flood study
- Audience llm-inferred
- GIS analysts · flood consultants · hydrologists · drainage engineers
Limitations
- Constraints llm-inferred
- Dataset viewer is broken: StreamingRowsError, schema cast failure between files · Files have inconsistent schemas (one file's columns do not match the declared feature schema) · README is empty, so content and provenance are undocumented · No Parquet version (hasParquetFormat false) · Large download (13.9 GB total) · Flood-infrastructure content is not verified from DOCS; the name alone is not evidence
- Licence
- apache-2.0
- Authentication
- Unknown — review source docs
- GitHub stars
- Unknown
- Last commit
- Unknown
- Last successful page check
- 14/10/2026
- Page health
- healthy
- Package
- Not recorded
- Verification
- Not independently verified
Provenance & evidence
Verified 2026-10-15 via HF API: exists; 1720 downloads/30d, 1 likes.
Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face datasets)