Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
sentiment-classification
Languages:
Russian
Size:
10K - 100K
License:
Create kinopoisk.py
Browse files- kinopoisk.py +13 -0
kinopoisk.py
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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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for n, row in enumerate(rows):
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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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