Update labels.py
Browse files
labels.py
CHANGED
@@ -18,9 +18,9 @@
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import csv
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import os
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import datasets
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_DESCRIPTION = """\
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}
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"""
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_TRAIN_DOWNLOAD_URL = "https://github.com/edubrigham/data/blob/
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_TEST_DOWNLOAD_URL = "https://github.com/edubrigham/data/blob/
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"Society & Culture",
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"Science & Mathematics",
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"Health",
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@@ -61,35 +71,12 @@ _TOPICS = [
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"Business & Finance",
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"Entertainment & Music",
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"Family & Relationships",
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"Politics & Government",
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class YahooAnswersTopics(datasets.GeneratorBasedBuilder):
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"Yahoo! Answers Topic Classification Dataset"
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VERSION = datasets.Version("1.0.0")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name="yahoo_answers_topics",
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version=datasets.Version("1.0.0", ""),
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),
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]
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"id": datasets.Value("int32"),
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"topic": datasets.features.ClassLabel(names=_TOPICS),
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"question_title": datasets.Value("string"),
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"question_content": datasets.Value("string"),
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"best_answer": datasets.Value("string"),
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},
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),
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)
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def _split_generators(self, dl_manager):
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]
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def _generate_examples(self, filepath):
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import csv
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import datasets
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from datasets.tasks import TextClassification
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_DESCRIPTION = """\
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}
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"""
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_TRAIN_DOWNLOAD_URL = "https://github.com/edubrigham/data/blob/a43e2eb61d49a7c5f9b7856de2538dc1a7712e47/ag_news_csv/train.csv"
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_TEST_DOWNLOAD_URL = "https://github.com/edubrigham/data/blob/a43e2eb61d49a7c5f9b7856de2538dc1a7712e47/ag_news_csv/test.csv"
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class AGNews(datasets.GeneratorBasedBuilder):
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"""AG News topic classification dataset."""
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"text": datasets.Value("string"),
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"label": datasets.features.ClassLabel(names=[
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"Society & Culture",
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"Science & Mathematics",
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"Health",
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"Business & Finance",
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"Entertainment & Music",
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"Family & Relationships",
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"Politics & Government"]),
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}
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),
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homepage="http://groups.di.unipi.it/~gulli/AG_corpus_of_news_articles.html",
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citation=_CITATION,
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task_templates=[TextClassification(text_column="text", label_column="label")],
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)
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def _split_generators(self, dl_manager):
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]
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def _generate_examples(self, filepath):
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"""Generate AG News examples."""
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with open(filepath, encoding="utf-8") as csv_file:
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csv_reader = csv.reader(
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csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
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)
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for id_, row in enumerate(csv_reader):
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label, title, description = row
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# Original labels are [1, 2, 3, 4] ->
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# ['World', 'Sports', 'Business', 'Sci/Tech']
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# Re-map to [0, 1, 2, 3].
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label = int(label) - 1
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text = " ".join((title, description))
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yield id_, {"text": text, "label": label}
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