ragerri commited on
Commit
a89ed98
1 Parent(s): 0e79d5f

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -2
README.md CHANGED
@@ -74,9 +74,9 @@ size_categories:
74
  # MexExpQA: Multilingual Benchmarking of Medical QA with reference gold explanations and Retrieval Augmented Generation (RAG)
75
 
76
  We present a new multilingual parallel medical benchmark, MedExpQA, for the evaluation of LLMs on Medical Question Answering.
77
- This dataset can be used for various NLP tasks including: **Medical Question Answering**, **Explanatory Argument Extraction** or **Explanation Generation**.
78
 
79
- Although the design of MedExpQA is independent of the specific dataset, for the first version of the MedExpQA benchmark we leverage the commented MIR exams,
80
  from the [Antidote CasiMedicos dataset which includes gold reference explanations](https://huggingface.co/datasets/HiTZ/casimedicos-exp), which is currently
81
  available for 4 languages: **English, French, Italian and Spanish**.
82
 
 
74
  # MexExpQA: Multilingual Benchmarking of Medical QA with reference gold explanations and Retrieval Augmented Generation (RAG)
75
 
76
  We present a new multilingual parallel medical benchmark, MedExpQA, for the evaluation of LLMs on Medical Question Answering.
77
+ This benchmark can be used for various NLP tasks including: **Medical Question Answering** or **Explanation Generation**.
78
 
79
+ Although the design of MedExpQA is independent of any specific dataset, for the first version of the MedExpQA benchmark we leverage the commented MIR exams
80
  from the [Antidote CasiMedicos dataset which includes gold reference explanations](https://huggingface.co/datasets/HiTZ/casimedicos-exp), which is currently
81
  available for 4 languages: **English, French, Italian and Spanish**.
82