Vinyeh's picture
Update README.md
e181e64 verified
|
Raw History Blame Contribute Delete
4.01 kB
---
license: cc-by-nc-nd-4.0
---
# CASE: Clinical Agents for Seeking Evidence — Agent Trajectories & Benchmarks (De-identified)
**Partial, de-identified release** — companion data for the paper
*From Given to Gathered Evidence: Agentic Learning for Longitudinal Medical
Reasoning*: recorded agent trajectories, RL training prompts, benchmark banks
and example preview images for longitudinal medical imaging. Full imaging data
is not included (UK Biobank controlled); participant identifiers have been
replaced by uniform anonymous IDs (`case0001`–`case4739`); the ID mapping exists
but is not publicly disclosed, in accordance with UK Biobank requirements.
Rendered example/preview images are provided in `images_examples/` (figure
headers cropped).
The CASE project trains three cooperating clinical-agent personas on
longitudinal medical imaging through an agentic harness (multi-turn tool
calling; the model plans, calls tools, reads observations and answers):
- **Anatomist** — organ segmentation / volumetry across body stations
- **Radiologist** — cross-visit image comparison (multi-modality, multi-sequence)
- **Consultant** — report-grounded synthesis and claim verification
## Contents
| Path | What |
|---|---|
| `trajectories/{Anatomist_agent,Radiologist_agent,Consultant_agent}/` | recorded agent trajectories (`agent_caseNNNN.jsonl`) and per-patient annotations (`dense_caseNNNN.json`); Consultant additionally ships `skills_caseNNNN.jsonl` |
| `rl/verl_train_tool.parquet` | reinforcement-learning prompts (verl parquet, one row per patient-question; 30,604 rows) |
| `benchmark/` | evaluation question banks: `benchmark.parquet` = current bank (14,795 rows / 482 patients); `test.parquet` and `unified.parquet` = earlier banks; each bank ships its participant ID list |
| `images_examples/` | rendered preview slices for the benchmark set: per participant × six body stations × baseline/follow-up visits (4,938 images; figure headers cropped) |
## Formats
- **Trajectories** — JSONL, one question instance per line with the full message
list. Image content appears only as relative path references
(`images/<caseNNNN>/img_*.png`); the image files themselves are **not** included.
- **Parquet** (`rl/`, `benchmark/`) — one row per (patient, question); columns:
- `data_source` — task origin: `vista3d_opsd` (Anatomist), `medpanel_v2_opsd`
(Radiologist), `medboard_opsd` (Consultant)
- `prompt` — full chat template: system message (persona, tool definitions,
output-format rules) + user message (question, options, tool-use
instructions)
- `reward_model` — answer key, e.g. `{"ground_truth": "D"}`
- `extra_info` — JSON string with `patient_id` (anonymous case ID),
`question_idx`, `question`, `options`, `ground_truth`, `tools_kwargs`
(patient-scoped tool arguments) and `teacher_insight` (teacher reasoning
notes used for the OPSD distillation signal)
- `agent_name` — `tool_agent` (multi-turn tool-calling loop)
Row counts — `rl/verl_train_tool.parquet`: 30,604 (vista3d 9,788 / medpanel
10,408 / medboard 10,408); `benchmark.parquet`: 14,795.
**No images are embedded** in any parquet: image observations are served to
the tools at run time and are not part of this release.
## Licensing / data access
Built on UK Biobank-derived data under an access-controlled research agreement.
- **Participant IDs** — all participant references use uniform anonymous IDs
(`case0001`–`case4739`). An ID mapping to the original identifiers exists but
is **not disclosed on this platform**, in accordance with UK Biobank
requirements.
- **Images** (`images_examples/`) — rendered preview images are
provided for **academic display only**; redistribution and commercial use are
**prohibited**.
- **Complete dataset** — the full dataset is not redistributed here; access
must be requested through the **UK Biobank Access Management System (AMS)**
to obtain access permission for the returned data.