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 +12 -1
kinopoisk.py
CHANGED
@@ -2,6 +2,17 @@ import datasets
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import pandas as pd
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class Kinopoisk(datasets.GeneratorBasedBuilder):
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def _generate_examples():
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df = pd.read_json('kinopoisk.jsonl', lines=True)
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rows = df.to_dict(orient="records")
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@@ -10,4 +21,4 @@ class Kinopoisk(datasets.GeneratorBasedBuilder):
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example = row
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example["Idx"] = n
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-
yield example["Idx"], example
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import pandas as pd
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class Kinopoisk(datasets.GeneratorBasedBuilder):
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def _info(self):
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return datasets.DatasetInfo(
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description='Kinopoisk movie reviews dataset.',
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features=datasets.Features(
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{"content": datasets.Value("string"), "title": datasets.Value("string"), "grade3": datasets.Value("string"), "movie_name": datasets.Value("string")}
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),
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supervised_keys=None,
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homepage='',
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citation='',
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)
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def _generate_examples():
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df = pd.read_json('kinopoisk.jsonl', lines=True)
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rows = df.to_dict(orient="records")
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example = row
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example["Idx"] = n
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yield example["Idx"], example
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