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IndicMedDialog: A Parallel Multi-Turn Medical Dialogue Dataset for Accessible Healthcare in Indic Languages

arXiv 2605.13292 ↗First posted 13 May 2026cs.CL cs.AI cs.IRcited by 0

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Abstract (arXiv)

Most existing medical dialogue systems operate in a single-turn question--answering paradigm or rely on template-based datasets, limiting conversational realism and multilingual applicability. We introduce IndicMedDialog, a parallel multi-turn medical dialogue dataset spanning English and nine Indic languages: Assamese, Bengali, Gujarati, Hindi, Marathi, Punjabi, Tamil, Telugu, and Urdu. The dataset extends MDDial with LLM-generated synthetic consultations, translated using TranslateGemma, verified by native speakers, and refined through a script-aware post-processing pipeline to correct phonetic, lexical, and character-spacing errors. Building on this dataset, we fine-tune IndicMedLM via parameter-efficient adaptation of a quantized small language model, incorporating optional patient pre-context to personalise multi-turn symptom elicitation. We evaluate against zero-shot multilingual baselines, conduct systematic error analysis across ten languages, and validate clinical plausibility through medical expert evaluation.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 12 of its 18 references that are in the map. First posted on arXiv 13 May 2026.

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References · 12

  1. 2024The Llama 3 Herd of Modelscited by 14,715
  2. 2021Calibrate Before Use: Improving Few-Shot Performance of Language Modelscited by 1,392
  3. 2023ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledgecited by 325
  4. 2020MedDialog: Two Large-scale Medical Dialogue Datasetscited by 161
  5. 2023Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-world Multi-turn Dialoguecited by 119
  6. 2023BianQue: Balancing the Questioning and Suggestion Ability of Health LLMs with Multi-turn Health Conversations Polished by ChatGPTcited by 65
  7. 2023NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notescited by 48
  8. 2020MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generationcited by 45
  9. 2024MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotationscited by 22
  10. 2024BiMediX: Bilingual Medical Mixture of Experts LLMcited by 21
  11. 2023MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluationcited by 10
  12. 2026MedAidDialog: A Multilingual Multi-Turn Medical Dialogue Dataset for Accessible Healthcarecited by 1

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