Healthcare AI Training Datasets — De-identified & Indic
Patients don't speak textbook — they describe symptoms code-mixed, in regional terms, in accented speech. Our healthcare datasets are consented, de-identified and clinically reviewed: patient–clinician dialogue, clinical NLP and medical speech across Indian languages, DPDP-aligned and India-resident.
Healthcare datasets in the catalog
Showing 2 of 41 datasets.
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HealthcareHealthcare Multimodal 🇮🇳 Sovereign
Indic Healthcare Patient–Clinician Dialogue Set
De-identified, consented patient–clinician dialogues across four languages, with intent, symptom, and clinical-entity annotations for health AI.
- Languages:
- Hindi, Telugu, Bengali, Kannada
- Size:
- 120 hrs audio · 42,000 turns
- IAA:
- 0.86
Rights-clearedLicence from
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HealthcareHealthcare Text 🇮🇳 Sovereign
Indic Radiology Report NLP Set (De-identified)
De-identified radiology reports with finding, impression and negation annotations — for clinical NLP, report generation and evaluation.
- Languages:
- English, Hindi
- Size:
- 180,000 reports
- IAA:
- 0.87
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Services & industry for Healthcare
When the data you need doesn't exist yet, we build it — collection, annotation, alignment and evaluation, all rights-cleared and documented.
Multilingual Data Collection
Native-speaker audio, video, image and text collection across Indic, African and low-resource languages — field-grade, consented, documented.
Explore the serviceData Annotation
Speech, NLP, CV and multimodal annotation at IAA ≥ 0.85 with two-pass QA — built for foundation-model SLAs.
Explore the serviceContent Moderation & Safety
PII filtering, harmful-content taxonomies and culturally-aware safety pipelines — calibrated for Indian context.
Explore the serviceHealthcare industry
De-identified Indic clinical dialogue, medical NLP and speech data — consented and DPDP-aligned for healthcare AI you can deploy safely.
Explore the industryCommon questions
- How is patient data protected in these healthcare datasets?
Every dialogue is collected with explicit written consent and rigorously de-identified to remove direct and quasi-identifiers, with collection, de-identification and storage performed entirely within India in line with the DPDP Act, 2023.
- Are clinical labels reviewed by medical experts?
Yes — clinical entities are annotated against a curated ontology with clinician sign-off and two-pass QA.
Need Healthcare data your model can train on?
License what's in the catalog, or tell us exactly what you need — we build proprietary, rights-cleared datasets to spec, with India data residency.