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README.md

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 # MedGen: Clinical Data Synthesis for Medical NLP
 
-<p align="left">
-    📑 <a href="https://huggingface.co/papers/xxxx.xxxxx" target="_blank">Paper</a> &nbsp&nbsp | &nbsp&nbsp 🌐 <a href="https://medgen.github.io/" target="_blank">Project Page</a> &nbsp&nbsp | &nbsp&nbsp 💾 <a href="https://huggingface.co/collections/toolevalxm/medgen-67b978e28fd926b56a4f55a3" target="_blank">Released Resources</a> &nbsp&nbsp | &nbsp&nbsp 📦 <a href="https://github.com/xmhtoolathlon/MedGen-DataLab" target="_blank">Repo</a> 
+📑 [Paper](https://huggingface.co/papers/xxxx.xxxxx)    |    🌐 [Project Page](https://medgen.github.io/)    |    💾 [Released Resources](https://huggingface.co/collections/toolevalxm/medgen-67b978e28fd926b56a4f55a3)    |    📦 [Repo](https://github.com/xmhtoolathlon/MedGen-DataLab)
 
 We release the raw clinical notes data for our MedGen project, derived from the MIMIC-III clinical database maintained by PhysioNet.
 
 The data format for each line in the `clinical_notes_processed.jsonl` is as follows:
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 ```
 {
   "note_id": <unique identifier for the clinical note>,
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 ```
 
 *Note: All data has been de-identified following HIPAA Safe Harbor guidelines. Original patient information has been removed or replaced with synthetic equivalents.
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+**License**
+
+The license for this dataset is PhysioNet Credentialed Health Data License 1.5.0.