Update README.md

README.md

@@ -1,67 +1,67 @@
----
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: question
-    dtype: string
-  - name: opa
-    dtype: string
-  - name: opb
-    dtype: string
-  - name: opc
-    dtype: string
-  - name: opd
-    dtype: string
-  - name: cop
-    dtype:
-      class_label:
-        names:
-          '0': a
-          '1': b
-          '2': c
-          '3': d
-  - name: choice_type
-    dtype: string
-  - name: exp
-    dtype: string
-  - name: subject_name
-    dtype: string
-  - name: topic_name
-    dtype: string
-  splits:
-  - name: test
-    num_bytes: 1510301
-    num_examples: 6150
-  - name: validation
-    num_bytes: 2469102
-    num_examples: 4183
-  - name: train
-    num_bytes: 143781256
-    num_examples: 182822
-  download_size: 94116148
-  dataset_size: 147760659
-configs:
-- config_name: default
-  data_files:
-  - split: test
-    path: data/test-*
-  - split: validation
-    path: data/validation-*
-  - split: train
-    path: data/train-*
-task_categories:
-- question-answering
-language:
-- it
-tags:
-- medical
-pretty_name: MedMCQA-ITA
-size_categories:
-- 100K<n<1M
----
+---
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: question
+    dtype: string
+  - name: opa
+    dtype: string
+  - name: opb
+    dtype: string
+  - name: opc
+    dtype: string
+  - name: opd
+    dtype: string
+  - name: cop
+    dtype:
+      class_label:
+        names:
+          '0': a
+          '1': b
+          '2': c
+          '3': d
+  - name: choice_type
+    dtype: string
+  - name: exp
+    dtype: string
+  - name: subject_name
+    dtype: string
+  - name: topic_name
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 1510301
+    num_examples: 6150
+  - name: validation
+    num_bytes: 2469102
+    num_examples: 4183
+  - name: train
+    num_bytes: 143781256
+    num_examples: 182822
+  download_size: 94116148
+  dataset_size: 147760659
+configs:
+- config_name: default
+  data_files:
+  - split: test
+    path: data/test-*
+  - split: validation
+    path: data/validation-*
+  - split: train
+    path: data/train-*
+task_categories:
+- question-answering
+language:
+- it
+tags:
+- medical
+pretty_name: MedMCQA-ITA
+size_categories:
+- 100K<n<1M
+---
 
-MedMCQA-ITA is the Italian version, automatically translated, of a large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.
+**MedMCQA-ITA** is the **Italian version**, automatically translated, of a large-scale, **Multiple-Choice Question Answering (MCQA)** dataset designed to address realworld medical entrance exam questions.
 
 The MedMCQA task can be formulated as X = {Q, O} where Q represents the questions in the text, O represents the candidate options, multiple candidate answers are given for each question O = {O_1, O_2, ..., O_n}. The goal is to select the single or multiple answers from the option set.