Multilingual & Voice
The same fake conversations, translated and read aloud in Hindi, Marathi, Tamil, Kannada and Gujarati.
- Rows
- 6,600
- Region
- India
- Labeled PII
- Yes
- Fraud labels
- No
What you can test with it
- Score a DLP, redaction or PII-detection system against the ground-truth answer key — every sensitive field is already labeled.
- Test OCR and document-extraction accuracy on India-shaped data rather than US-shaped placeholders.
- Populate a lower environment, demo or training set without touching real customer data.
Fields
- rendition_ref
- doc_ref
- subject_ref
- doc_type
- rendition_type
- language
- script
- scenario_key
- region_code
- country_code
- gcs_uri
- answer_key_uri
- pii_span_count
- char_count
- duration_seconds
- tts_voice
Related datasets
Is this data safe to use?
Yes. Every record is generated, never derived from or masked from real people, and every identifier is non-issuable by construction — correctly formatted, but failing checksum validation or using a reserved range so it can never match a real person or institution.