mahdiyehebrahimi commited on
Commit
325e07d
1 Parent(s): 449f840

Update Tc.py

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Files changed (1) hide show
  1. Tc.py +6 -5
Tc.py CHANGED
@@ -9,8 +9,8 @@ IUT Ticket Classification
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  _DOWNLOAD_URLS = {
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- "train": "https://huggingface.co/datasets/mahdiyehebrahimi/University_Ticket_Classification/raw/main/tc_train.csv",
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- "test": "https://huggingface.co/datasets/mahdiyehebrahimi/University_Ticket_Classification/raw/main/tc_test.csv"
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  }
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@@ -21,10 +21,10 @@ class SentimentDKSF(datasets.GeneratorBasedBuilder):
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  return datasets.DatasetInfo(
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  description=_DESCRIPTION,
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  features=datasets.Features(
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- {"label": datasets.features.ClassLabel(names=["drop_withdraw", "centralauthentication_email", "supervisor_seminar_proposal_defense", "registration"]), "text": datasets.Value("string")}
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  ),
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  supervised_keys=None,
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- homepage="https://huggingface.co/datasets/mahdiyehebrahimi/University_Ticket_Classification",
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  task_templates=[TextClassification(text_column="text", label_column="label")],
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  )
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@@ -46,6 +46,7 @@ class SentimentDKSF(datasets.GeneratorBasedBuilder):
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  # skip the first row if your csv file has a header row
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  next(csv_reader, None)
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  for id_, row in enumerate(csv_reader):
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- label, text = row
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  label = label2id(label)
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  yield id_, {"text": text, "label": label}
 
 
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  _DOWNLOAD_URLS = {
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+ "train": "https://huggingface.co/datasets/mahdiyehebrahimi/University_Ticket_Classification/raw/main/Tc_train.csv",
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+ "test": "https://huggingface.co/datasets/mahdiyehebrahimi/University_Ticket_Classification/raw/main/Tc_test.csv"
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  }
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  return datasets.DatasetInfo(
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  description=_DESCRIPTION,
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  features=datasets.Features(
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+ {"text": datasets.Value("string"), "label": datasets.features.ClassLabel(names=["drop_withdraw", "centralauthentication_email","supervisor_seminar_proposal_defense", "registration"])}
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  ),
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  supervised_keys=None,
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+ homepage="https://huggingface.co/datasets/hezarai/sentiment-dksf",
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  task_templates=[TextClassification(text_column="text", label_column="label")],
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  )
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  # skip the first row if your csv file has a header row
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  next(csv_reader, None)
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  for id_, row in enumerate(csv_reader):
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+ text, label = row
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  label = label2id(label)
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  yield id_, {"text": text, "label": label}
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+ yield id_, {"text": text, "label": label}