Update README.md

README.md

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----
-license: cdla-permissive-2.0
----
+---
+license: cdla-permissive-2.0
+task_categories:
+- text-classification
+- token-classification
+language:
+- en
+tags:
+- clinical
+- doctor-patient
+- dialog
+size_categories:
+- n<1K
+---
+
+# Dataset Card: SIMORD (Simulated Medical Order Extraction Dataset)
+
+## 1. Dataset Summary
+
+- **Name**: SIMORD  
+- **Full name / acronym**: SIMulated ORDer Extraction  
+- **Purpose / use case**:  
+  SIMORD is intended to support research in extracting structured medical orders (e.g. medication orders, lab orders) from doctor-patient consultation transcripts. It complements the SYNUR dataset by focusing on the downstream task of converting spoken clinical dialogue into structured orders. :contentReference[oaicite:0]{index=0}  
+- **Version**: As released with the paper (2025)  
+- **License / usage terms**: CDLA-2.0-permissive  
+- **Contact / Maintainer**: jcorbeil@microsoft.com  
+
+## 4. Data Fields / Format
+
+- **Input fields**:  
+  - `transcript`: string, the doctor-patient consultation transcript (with disfluencies, interruptions, etc.)  
+  - `schema`: metadata of the target order schema (possible order types, attributes)  
+
+- **Output / label fields**:  
+  - A JSON (or list) of **order objects**  
+  - Each order object includes at least:  
+    * `order_type` (e.g. “medication”, “lab”)  
+    * `description` (string) — the order text (e.g. “lasix 40 milligrams a day”)  
+    * `reason` (string) — the clinical reason or indication for the order  
+    * `provenance` (e.g. list of token indices or spans) — mapping back to parts of the transcript  
+
+- **Annotation format constraints**: Outputs must conform to a parsable JSON format consistent with the schema defined in each example.  
+
+## Citation
+
+    @article{corbeil2025empowering,
+      title={Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications},
+      author={Corbeil, Jean-Philippe and Abacha, Asma Ben and Michalopoulos, George and Swazinna, Phillip and Del-Agua, Miguel and Tremblay, Jerome and Daniel, Akila Jeeson and Bader, Cari and Cho, Yu-Cheng and Krishnan, Pooja and others},
+      journal={arXiv preprint arXiv:2507.05517},
+      year={2025}
+    }