Add training set

.gitattributes

@@ -52,3 +52,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+*.csv filter=lfs diff=lfs merge=lfs -text

ag_news_pt.py

@@ -49,12 +49,12 @@ _CITATION = """\
 }
 """
 
-_TRAIN_DOWNLOAD_URL = "https://huggingface.co/datasets/hugo/ag_news_pt/raw/main/test.csv"
+_TRAIN_DOWNLOAD_URL = "https://huggingface.co/datasets/hugo/ag_news_pt/raw/main/train.csv"
 _TEST_DOWNLOAD_URL = "https://huggingface.co/datasets/hugo/ag_news_pt/raw/main/test.csv"
 
 
 class AGNews(datasets.GeneratorBasedBuilder):
-    """AG News topic classification dataset."""
+    """AG News topic classification dataset (translated to Portuguese)."""
 
     def _info(self):
         return datasets.DatasetInfo(
@@ -87,10 +87,9 @@ class AGNews(datasets.GeneratorBasedBuilder):
             for id_, row in enumerate(csv_reader):
                 if id_ == 0:
                   continue
-                label, title, description = row
+                label, title, text = row
                 # Original labels are [1, 2, 3, 4] ->
                 #                   ['World', 'Sports', 'Business', 'Sci/Tech']
                 # Re-map to [0, 1, 2, 3].
                 label = int(label) - 1
-                text = " ".join((title, description))
-                yield id_, {"text": text, "label": label}
+                yield id_, {"title": title, "text": text, "label": label}

train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9aed46c3e508a4d7efd747ed36cc89297c3f65b24897ff18d3dfcfecdc265976
+size 32500955