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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 47,139 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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``` |
