Update README.md

README.md

@@ -187,4 +187,97 @@ configs:
     path: source/dev-*
   - split: test
     path: source/test-*
+license: cc-by-sa-4.0
+task_categories:
+- text-classification
+language:
+- en
+tags:
+- medical
+pretty_name: NLI4PR
+size_categories:
+- 10K<n<100K
 ---
+
+
+# Natural Language Inference for Patient Recruitment (NLI4PR)
+
+## Dataset Description
+
+|                                 | Links         | 
+|:-------------------------------:|:-------------:|
+| **Homepage:**                   |  [Github.io](https://paperswithcode.com/paper/what-disease-does-this-patient-have-a-large)  | 
+| **Repository:**                 |  [Github](https://aclanthology.org/2025.cl4health-1.21/)  | 
+| **Paper:**                      |  [arXiv](https://arxiv.org/abs/2503.15718)  | 
+| **Contact (Original Authors):** |  Mathilde Aguiar (mathilde.aguiar@lisn.fr) |
+| **Contact (Curator):**          |  [Artur Guimarães](https://araag2.netlify.app/) (artur.guimas@gmail.com) |
+
+  
+### Dataset Summary
+
+`MedQA is a large-scale multiple-choice question-answering dataset designed to mimic the style of professional medical board exams, particularly the USMLE (United States Medical Licensing Examination). Introduced by Jin et al. in 2020 under the title “What Disease Does This Patient Have? A Large‑scale Open‑Domain Question Answering Dataset from Medical Exams”, the dataset supports open-domain QA via retrieval from medical textbooks`
+
+### Data Instances
+
+#### Source Format
+
+```json
+{
+        "id": "5088",
+        "topic_id": "39",
+        "statement_medical": "A 55-year-old white woman comes for a routine checkup.  She has no significant medical history and does not use tobacco, alcohol, or illicit drugs.  The patient's only medication is an over-the-counter multivitamin.  Family history is notable for a hip fracture in her mother.  Blood pressure is 130\/80 mm Hg and pulse is 112\/min. She has occasional back pain and lives a sedentary lifestyle with the BMI of 24 Kg\/m2. Plain X-ray of the spine shows mild compression fracture at the level of T10. X-ray absorptiometry studies demonstrate abnormally low bone density in the lumbar vertebrae and T-score values below -2.5, which confirms the diagnosis of osteoporosis.",
+        "statement_pol": "I'm a 55-year-old white woman and I recently visited my family doctor. I don't smoke anything or drink. I don't have any remarkable medical history. I only use over-the-counter multivitamins to keep myself fresh and energized. My mom had a hip fracture. The doctor took my blood pressure and it was 130\/80 and my pulse was 112\/min. I have annoying back pain from time to time and to be honest I don't exercise much or move much. My BMI is 24. I did a spine X-ray a while ago and my doctor showed me that I have a fracture on one of my vertebrae. I also have a low bone density in my lumbar vertebrae and T-score values below -2.5. The doctor diagnosed me with osteoporosis.",
+        "premise": "Inclusion Criteria:\n\n          -  Postmenopausal women and men referred for bone density examination.\n\n        Exclusion Criteria:\n\n          -  Patients unable to sign consent for participation.\nNo condition on gender to be admitted to the trial.\nAccepts Healthy Volunteers\nSubject must be at least 20 Years old.\nSubject must be at most 90 Years",
+        "NCT_title": "Bindex Ultrasonometer for Osteoporosis Diagnostics",
+        "NCT_id": "NCT01935232",
+        "label": "Contradiction"
+}
+```
+
+### Data Fields
+
+#### Source Format
+
+TO:DO
+
+### Data Splits
+
+TO:DO
+
+## Additional Information
+
+### Dataset Curators
+
+#### Original Paper
+
+- Mathilde Aguiar (mathilde.aguiar@lisn.fr) - Université Paris-Saclay, CNRS, Laboratoire Interdisciplinaire des Sciences du Numérique
+- Pierre Zweigenbaum - Université Paris-Saclay, CNRS, Laboratoire Interdisciplinaire des Sciences du Numérique
+- Nona Naderi - Université Paris-Saclay, CNRS, Laboratoire Interdisciplinaire des Sciences du Numérique
+
+#### Huggingface Curator
+
+- [Artur Guimarães](https://araag2.netlify.app/) (artur.guimas@gmail.com) - INESC-ID / University of Lisbon - Instituto Superior Técnico
+
+### Licensing Information
+
+[CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/deed.en)
+
+### Citation Information
+
+```bibtex
+  @misc{aguiar2025ieligiblenaturallanguage,
+        title={Am I eligible? Natural Language Inference for Clinical Trial Patient Recruitment: the Patient's Point of View}, 
+        author={Mathilde Aguiar and Pierre Zweigenbaum and Nona Naderi},
+        year={2025},
+        eprint={2503.15718},
+        archivePrefix={arXiv},
+        primaryClass={cs.CL},
+        url={https://arxiv.org/abs/2503.15718}, 
+  }
+```
+
+[10.18653/v1/2025.cl4health-1.21](http://doi.org/10.18653/v1/2025.cl4health-1.21)
+
+### Contributions
+
+Thanks to [araag2](https://github.com/araag2) for adding this dataset.