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README.md
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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 medical institutions.
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In total it contains 12,036 reviews. A review tagged with the <em>general</em> sentiment and sentiments on 5 aspects: <em>quality, service, equipment, food, location</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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- **content**: review text;
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- **general**;
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- **quality**;
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- **service**;
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- **equipment**;
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- **food**;
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- **location**.
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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('medical_institutions_reviews.jsonl', lines=True)
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df.sample(5)
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```
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