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--- |
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language: |
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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 facilities. |
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|
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In total it contains 70,597 reviews. The detailed distribution on sentiment scale is: |
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- 41,419 positive reviews; |
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- 29,178 negative reviews. |
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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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- **category** category of medical facility (one of 48); |
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- **title**: review title; |
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- **content**: review text; |
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- **sentiment**: sentiment (<em>positive</em> or <em>negative</em>); |
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- **source_url**. |
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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('healthcare_facilities_reviews.jsonl', lines=True) |
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df.sample(5) |
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``` |
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