Update loading script

tamilmixsentiment.py

@@ -16,6 +16,7 @@
 
 
 import csv
+import os.path
 
 import datasets
 from datasets.tasks import TextClassification
@@ -47,11 +48,12 @@ The first gold standard Tamil-English code-switched, sentiment-annotated corpus
 
 _LICENSE = ""
 
-_TRAIN_DOWNLOAD_URL = "https://drive.google.com/u/0/uc?id=1hDHeoFIfQzJec1NgZNXh3CTNbchiIvuG&export=download"
-_VALIDATION_DOWNLOAD_URL = "https://drive.google.com/u/0/uc?id=1lyCxkDwZyvKLaF5NZhS3JE2ftMmHAKBT&export=download"
-_TEST_DOWNLOAD_URL = (
-    "https://docs.google.com/spreadsheets/d/1_6HJWkOuD76pQ6M_RVoP4FOsUK22zPl1IMpq1atLhl4/export?format=tsv"
-)
+_URL = "data/tamil.zip"
+_FILENAMES = {
+    "train": "tamil_train.tsv",
+    "validation": "tamil_dev.tsv",
+    "test": "tamil_test.tsv",
+}
 
 
 class Tamilmixsentiment(datasets.GeneratorBasedBuilder):
@@ -74,50 +76,22 @@ class Tamilmixsentiment(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL)
-        validation_path = dl_manager.download_and_extract(_VALIDATION_DOWNLOAD_URL)
-        test_path = dl_manager.download_and_extract(_TEST_DOWNLOAD_URL)
+        data_dir = dl_manager.download_and_extract(_URL)
         return [
             datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": train_path,
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
+                name=split,
                 gen_kwargs={
-                    "filepath": validation_path,
-                    "split": "validation",
+                    "filepath": os.path.join(data_dir, _FILENAMES[split]),
                 },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": test_path,
-                    "split": "test",
-                },
-            ),
+            )
+            for split in (datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST)
         ]
 
-    def _generate_examples(self, filepath, split):
+    def _generate_examples(self, filepath):
         """Generate Tamilmixsentiment examples."""
         with open(filepath, encoding="utf-8") as csv_file:
-            csv_reader = csv.reader(
+            csv_reader = csv.DictReader(
                 csv_file, quotechar='"', delimiter="\t", quoting=csv.QUOTE_ALL, skipinitialspace=True
             )
-            # skip header
-            next(csv_reader)
-
             for id_, row in enumerate(csv_reader):
-
-                # test - has a first column indicating sentence number
-                if split == "test":
-                    idcol, text, label = row
-
-                # train, validation
-                else:
-                    text, label = row
-
-                yield id_, {"text": text, "label": label}
+                yield id_, {"text": row["text"], "label": row["category"]}