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+ ---
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+ languages:
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+ - ru
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 10K<n<100K
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+ task_categories:
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+ - text-classification
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+ - sentiment-analysis
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+ task_ids:
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+ - sentiment-classification
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+ ---
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+ ### Dataset Summary
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+ The dataset contains user reviews about restaurants.
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+ In total it contains 47,303 reviews. A review tagged with the <em>general</em> sentiment and sentiments on 3 aspects: <em>food, interior, service</em>.
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+ ### Data Fields
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+ Each sample contains the following fields:
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+ - **review_id**;
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+ - **general**;
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+ - **food**;
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+ - **interior**;
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+ - **service**;
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+ - **text** review text.
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+ ### Python
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+ ```python3
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+ import pandas as pd
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+ df = pd.read_json('restaurants_reviews.jsonl', lines=True)
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+ df.sample(5)
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+ ```