Update README.md

README.md

@@ -41,7 +41,11 @@ size_categories:
 We present a new multilingual parallel medical dataset of commented medical exams which includes not only explanatory arguments
 for the correct answer but also arguments to explain why the remaining possible answers are incorrect.
 
-This dataset can be used for various NLP tasks including: **Medical Question Answering**, **Explanatory Argument Extraction** or **Explanation Generation**.
+Furthermore, this dataset allows us to setup a **novel extractive task**
+which consists of **identifying the explanation of the correct answer written by
+medical doctors**. In order to do so we leverage the
+SQuAD extractive QA paradigm to automatically evaluate performance of language models to identify the explanation of the correct answer
+in medical exams without relying on costly manual evaluation by medical experts.
 
 The data source consists of Resident Medical Intern or Médico Interno Residente (MIR) exams, originally
 created by [CasiMedicos](https://www.casimedicos.com), a Spanish community of medical professionals who collaboratively, voluntarily, 
@@ -49,25 +53,26 @@ and free of charge, publishes written explanations about the possible answers in
 helps future medical doctors to study towards the MIR examinations. The commented MIR exams, including the explanations, are published in the [CasiMedicos 
 Project MIR 2.0 website](https://www.casimedicos.com/mir-2-0/).
 
-We have extracted, clean, structure and annotated the available data so that each document in **casimedicos-raw** dataset includes the clinical case, the correct answer, 
-the multiple-choice questions and the annotated explanations written by native Spanish medical doctors.
+We have extracted, clean, structure and annotated the available data so that each document in **casimedicos-squad** includes the clinical case, the correct answer, 
+the multiple-choice questions and the commented exam written by native Spanish medical doctors. The comments have been annotated with the span in the text that
+corresponds to the explanation of the correct answer (see example below).
 
 Furthermore, the original Spanish data has been translated to create a **parallel multilingual dataset** in 4 languages: **English, French, Italian and Spanish**.
 
 <table style="width:33%">
     <tr>
-         <th>Antidote CasiMedicos splits</th>
+         <th>casimedicos-squad splits</th>
      <tr>
          <td>train</td>
-         <td>434</td>
+         <td>404</td>
      </tr>
      <tr>
          <td>validation</td>
-         <td>63</td>
+         <td>56</td>
      </tr>
      <tr>
          <td>test</td>
-         <td>125</td>
+         <td>119</td>
      </tr>
  </table>
 
@@ -83,9 +88,8 @@ Furthermore, the original Spanish data has been translated to create a **paralle
 <img src="https://github.com/ixa-ehu/antidote-casimedicos/blob/main/casimedicos-exp.png?raw=true" style="height: 650px;">
 </p>
 
-In this repository you can find the following data:
-
-- **casimedicos-squad**: The textual content including Clinical Case (C), Question (Q), Possible Answers (P), and Explanation (E) as shown in the example above.
+The example above shows a document in CasiMedicos containing the textual content, including Clinical Case (C), Question (Q), Possible Answers (P), 
+and Explanation (E). Furthermore, for **casimedicos-squad** we annotated the span in the explanation (E) that corresponds to the correct answer (A).
 
 ## Data Explanation