Update README.md

README.md

@@ -1,3 +1,141 @@
----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+language:
+- en
+- es
+- fr
+- it
+tags:
+- casimedicos
+- explainability
+- medical exams
+- medical question answering
+- multilinguality
+- LLMs
+- LLM
+pretty_name: MedExpQA
+configs:
+- config_name: en
+  data_files:
+  - split: train
+    path:
+    - en/train_en_ordered.jsonl
+  - split: validation
+    path:
+    - en/validation_en_ordered.jsonl
+  - split: test
+    path:
+    - en/test_en_ordered.jsonl
+- config_name: es
+  data_files:
+  - split: train
+    path:
+    - es/train_es_ordered.jsonl
+  - split: validation
+    path:
+    - es/validation_es_ordered.jsonl
+  - split: test
+    path:
+    - es/test_es_ordered.jsonl
+- config_name: fr
+  data_files:
+  - split: train
+    path:
+    - fr/train_fr_ordered.jsonl
+  - split: validation
+    path:
+    - fr/validation_fr_ordered.jsonl
+  - split: test
+    path:
+    - fr/test_fr_ordered.jsonl
+- config_name: it
+  data_files:
+  - split: train
+    path:
+    - it/train_it_ordered.jsonl
+  - split: validation
+    path:
+    - it/validation_it_ordered.jsonl
+  - split: test
+    path:
+    - it/test_it_ordered.jsonl
+task_categories:
+- text-generation
+- question-answering
+size_categories:
+- 1K<n<10K
+---
+
+<p align="center">
+    <br>
+    <img src="http://www.ixa.eus/sites/default/files/anitdote.png" style="height: 200px;">
+    <br>
+
+# CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures
+
+[CasiMedicos-Arg](https://huggingface.co/datasets/HiTZ/casimedicos-arg) is, to the best of our knowledge, the first 
+multilingual dataset for Medical Question Answering where correct and incorrect diagnoses for a clinical case are 
+enriched with a natural language explanation written by doctors. 
+The [casimedicos-exp](https://huggingface.co/datasets/HiTZ/casimedicos-exp) have been manually annotated with 
+argument components (i.e., premise, claim) and argument relations (i.e., attack, support). 
+Thus, Multilingual CasiMedicos-arg dataset consists of 558 clinical cases (English, Spanish, French, Italian) with explanations,
+where we annotated 5021 claims, 2313 premises, 2431 support relations, and 1106 attack relations.
+
+<table style="width:33%">
+    <tr>
+         <th>Antidote CasiMedicos-Arg splits</th>
+     <tr>
+         <td>train</td>
+         <td>434</td>
+     </tr>
+     <tr>
+         <td>validation</td>
+         <td>63</td>
+     </tr>
+     <tr>
+         <td>test</td>
+         <td>125</td>
+     </tr>
+ </table>
+
+- 📖 Paper:[CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures](https://aclanthology.org/2024.emnlp-main.1026/)
+- 💻 Github Repo (Data and Code): [https://github.com/ixa-ehu/antidote-casimedicos](https://github.com/ixa-ehu/antidote-casimedicos)
+- 🌐 Project Website: [https://univ-cotedazur.eu/antidote](https://univ-cotedazur.eu/antidote)
+- Funding: CHIST-ERA XAI 2019 call. Antidote (PCI2020-120717-2) funded by MCIN/AEI /10.13039/501100011033 and by European Union NextGenerationEU/PRTR
+
+
+## Example of Document in Antidote CasiMedicos Dataset
+
+<p align="center">
+<img src="https://github.com/ixa-ehu/antidote-casimedicos/blob/main/casimedicos-exp.png?raw=true" style="height: 600px;">
+</p>
+
+
+## Results of Argument Component Detection using LLMs
+
+<p align="left">
+<img src="https://github.com/antidote-casimedicos/blob/main/multilingual-data-transfer.png?raw=true" style="height: 300px;">
+</p>
+
+## Citation
+
+If you use CasiMedicos-Arg then please **cite the following paper**:
+
+```bibtex
+@inproceedings{sviridova-etal-2024-casimedicos,
+    title = {{CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures}},
+    author = "Sviridova, Ekaterina  and
+      Yeginbergen, Anar  and
+      Estarrona, Ainara  and
+      Cabrio, Elena  and
+      Villata, Serena  and
+      Agerri, Rodrigo",
+    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
+    year = "2024",
+    url = "https://aclanthology.org/2024.emnlp-main.1026",
+    pages = "18463--18475"
+}
+```
+
+**Contact**: [Rodrigo Agerri](https://ragerri.github.io/)
+HiTZ Center - Ixa, University of the Basque Country UPV/EHU