Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
sentiment-classification
Languages:
Russian
Size:
10K - 100K
License:
Update kinopoisk.py
Browse files- kinopoisk.py +8 -31
kinopoisk.py
CHANGED
@@ -28,37 +28,14 @@ class Kinopoisk(datasets.GeneratorBasedBuilder):
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citation='',
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)
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def _split_generators(self, dl_manager):
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"split": "train",
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},
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)
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)
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splits.append(
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={
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"data_file": data_files["dev"],
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"split": "dev",
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},
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)
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)
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splits.append(
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"data_file": data_files["test"],
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"split": "test",
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},
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)
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)
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return splits
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def _generate_examples(self, filepath):
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df = pd.read_json(filepath, lines=True)
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citation='',
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)
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
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urls_to_download = self._URLS
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
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]
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def _generate_examples(self, filepath):
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df = pd.read_json(filepath, lines=True)
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