Update

ELRC-Medical-V2.py

@@ -88,14 +88,14 @@ class ELRC_Medical_V2(datasets.GeneratorBasedBuilder):
 
         with open(filepath, encoding="utf-8") as f:
 
-            for i, row in enumerate(csv.reader(f, delimiter=',')):
+            for id_, row in enumerate(csv.reader(f, delimiter=',')):
 
-                if i == 0:
+                if id_ == 0:
                     continue
 
-                yield i-1, {
-                    "doc_id": row[0],
-                    "lang": row[1],
-                    "source_text": row[2],
-                    "target_text": row[3]
+                yield id_, {
+                    "doc_id": str(row[0]),
+                    "lang": str(row[1]),
+                    "source_text": str(row[2]),
+                    "target_text": str(row[3])
                 }

README.md

@@ -100,8 +100,17 @@ In our case, the corpora consists of a pair of source and target sentences for 2
 
 ```python
 from datasets import load_dataset
-dataset = load_dataset("qanastek/ELRC-Medical-V2")
+
+NAME = "qanastek/ELRC-Medical-V2"
+
+dataset = load_dataset(NAME, use_auth_token=True)
 print(dataset)
+
+dataset_train = load_dataset(NAME, "en-es", split='train[:90%]')
+dataset_test = load_dataset(NAME, "en-es", split='train[10%:]')
+print(dataset_train)
+print(dataset_train[0])
+print(dataset_test)
 ```
 
 ## Dataset Structure