Renamed label to labels

dataset_infos.json

@@ -29,7 +29,7 @@
             {
                 "task": "text-classification",
                 "text_column": "text",
-                "label_column": "label",
+                "label_column": "labels",
                 "labels": [
                     "business",
                     "entertainment",
@@ -50,26 +50,26 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 29817351,
-                "num_examples": 120000,
+                "num_bytes": 15384,
+                "num_examples": 4800,
                 "dataset_name": "malayalam_news"
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 29817351,
-                "num_examples": 120000,
+                "num_bytes": 1943,
+                "num_examples": 600,
                 "dataset_name": "malayalam_news"
             },
             "test": {
                 "name": "test",
-                "num_bytes": 1879478,
-                "num_examples": 7600,
+                "num_bytes": 1959,
+                "num_examples": 600,
                 "dataset_name": "malayalam_news"
             }
         },
         "download_checksums": {
             "https://storage.googleapis.com/ai4bharat-public-indic-nlp-corpora/evaluations/classification/indicnlp-news-articles.tgz": {
-                "num_bytes": null,
+                "num_bytes": 511268261,
                 "checksum": ""
             }
         },

malayalam_news.py

@@ -54,7 +54,7 @@ class MalayalamNews(datasets.GeneratorBasedBuilder):
             features=datasets.Features(
                 {
                     "text": datasets.Value("string"),
-                    "label": datasets.features.ClassLabel(names=["business", "entertainment", "sports", "technology"]),
+                    "labels": datasets.features.ClassLabel(names=["business", "entertainment", "sports", "technology"]),
                 }
             ),
             homepage="https://github.com/AI4Bharat/indicnlp_corpus#indicnlp-news-article-classification-dataset",
@@ -105,4 +105,4 @@ class MalayalamNews(datasets.GeneratorBasedBuilder):
                 #label = int(label) - 1
                 #text = " ".join((title, description))
                 text = description
-                yield id_, {"text": text, "label": label}
+                yield id_, {"text": text, "labels": label}