| --- |
| license: cc-by-nc-sa-4.0 |
| language: |
| - en |
| pretty_name: MedExAgent Data |
| tags: |
| - medical |
| - clinical-ai |
| - diagnosis |
| - dialogue |
| - reinforcement-learning |
| - medagent |
| configs: |
| - config_name: sft |
| data_files: |
| - split: train |
| path: sft/train.jsonl |
| - config_name: rl |
| data_files: |
| - split: train |
| path: rl/train_patients.csv |
| - config_name: eval_clean |
| data_files: |
| - split: validation |
| path: [eval/ddxplus_val.jsonl, eval/pmc_val.jsonl] |
| - split: test |
| path: [eval/ddxplus_test.jsonl, eval/pmc_test.jsonl] |
| - config_name: eval_all_noise |
| data_files: |
| - split: test |
| path: [eval/ddxplus_test_all_noise.jsonl, eval/pmc_test_all_noise.jsonl] |
| extra_gated_prompt: >- |
| The MedExAgent data contains synthetic doctor-patient conversations and patient |
| case tables derived from DDxPlus and PMC-Patients-v2. It is intended for research |
| on medical agents in simulated settings. It is not medical advice and must not be |
| used for clinical care, diagnosis, treatment decisions, emergency triage, patient |
| management, or any other real-world medical decision-making. By requesting access, |
| you agree to use the data for non-commercial research only and to comply with the |
| CC BY-NC-SA 4.0 license and the licenses of the source datasets. |
| extra_gated_fields: |
| Full name: text |
| Organization or affiliation: text |
| Intended research use: text |
| I will use this data for non-commercial research only and not for clinical care or other real-world medical decision-making: checkbox |
| extra_gated_button_content: Agree and request access |
| extra_gated_heading: Research-use acknowledgement required |
| extra_gated_description: Access requires agreement to the research-only, non-commercial terms below. |
| --- |
| |
| # MedExAgent Data |
|
|
| Data used to train and evaluate [MedExAgent-8B](https://huggingface.co/medagent/MedExAgent-8B), from the paper "MedExAgent: Training LLM Agents to Ask, Examine, and Diagnose in Noisy Clinical Environments" (NeurIPS 2026). |
|
|
| - Paper: https://openreview.net/forum?id=olngQeJA7J (arXiv: https://arxiv.org/abs/2605.07058) |
| - Code: https://github.com/EndlessCG/medexagent |
| - Model: https://huggingface.co/medagent/MedExAgent-8B |
|
|
| ## Files |
|
|
| | File | Rows | Used for | |
| |---|---|---| |
| | `sft/train.jsonl` | 5,984 | SFT stage: synthetic doctor-patient conversations | |
| | `rl/train_patients.csv` | 19,984 | RL stage: patient case tables (demographics, history, symptoms, recorded exams and findings) | |
| | `rl/train_verl.parquet` | 19,984 | The same RL cases in the verl format used for DAPO training, with per-case noise assignments | |
| | `eval/ddxplus_val.jsonl`, `eval/pmc_val.jsonl` | 2,497 / 2,499 | Validation | |
| | `eval/ddxplus_test.jsonl`, `eval/pmc_test.jsonl` | 2,497 / 2,498 | Test, clean | |
| | `eval/ddxplus_test_all_noise.jsonl`, `eval/pmc_test_all_noise.jsonl` | 2,499 / 2,498 | Test, with patient and exam noise | |
|
|
| Training cases come from DDxPlus and PMC-Patients-v2 in roughly equal parts. The paper reports results on 1,000 cases from each test file. |
|
|
| ## Conversation format |
|
|
| Each line of the `.jsonl` files is one patient: |
|
|
| - `patient_id`, `diagnosis`, `demographics`, `medical_history`, `self_reported_symptoms` |
| - `patient_persona`: personality, language proficiency, and medical history recall, each with a key, a label, and the instruction given to the patient simulator |
| - `conversation`: a list of messages with roles `system`, `assistant` (doctor), `user` (patient), and `tool` (exam results). Exams are ordered as tool calls |
| - `noise_metadata`: the patient and exam noise applied to this conversation and where it was applied |
|
|
| Conversations follow the five Calgary-Cambridge stages. They were generated with gpt-4o-mini as both doctor and patient, with patient noise applied to 30% of patients and exam noise to 10% of eligible exam results. |
|
|
| ## License and sources |
|
|
| This dataset is released under CC BY-NC-SA 4.0. It is derived from: |
|
|
| - DDxPlus (Fansi Tchango et al., 2022), CC BY 4.0 |
| - PMC-Patients-v2 (Zhao et al., 2023), CC BY-NC-SA 4.0 |
| - The patient persona axes follow PatientSim (Kyung et al., 2025), CC BY-NC-ND 4.0 |
|
|
| The data contains no exam price values. Exam costs used in training are computed by the code from cost and discomfort tiers. |
|
|
| ## Intended use |
|
|
| Research on medical agents in simulated, non-clinical settings only. The conversations are synthetic and may contain incorrect medical information. The data must not be used for clinical care or any other real-world medical decision-making. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{gao2026medexagenttrainingllmagents, |
| title={MedExAgent: Training LLM Agents to Ask, Examine, and Diagnose in Noisy Clinical Environments}, |
| author={Yicheng Gao and Xiaolin Zhou and Yahan Li and Yue Zhao and Ruishan Liu}, |
| year={2026}, |
| eprint={2605.07058}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL}, |
| url={https://arxiv.org/abs/2605.07058}, |
| } |
| ``` |
|
|
