### Dataset Summary
The dataset contains user reviews about medical facilities.

In total it contains 70,597 reviews. The detailed distribution on sentiment scale is:
- 41,419 positive reviews;
- 29,178 negative reviews.
### Data Fields
Each sample contains the following fields:
- **review_id**;
- **category** category of medical facility (one of 48);
- **title**: review title;
- **content**: review text;
- **sentiment**: sentiment (<em>positive</em> or <em>negative</em>);
- **source_url**.
### Python
```python3
import pandas as pd
df = pd.read_json('healthcare_facilities_reviews.jsonl', lines=True)
df.sample(5)
```

task_categories:text-classification task_ids:sentiment-classification multilinguality:monolingual size_categories:10K<n<100K language:ru region:us
{"language": ["ru"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"]}
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-10K<n<100K #language-Russian #region-us 

### Dataset Summary
The dataset contains user reviews about medical facilities.

In total it contains 70,597 reviews. The detailed distribution on sentiment scale is:
- 41,419 positive reviews;
- 29,178 negative reviews.
### Data Fields
Each sample contains the following fields:
- review_id;
- category category of medical facility (one of 48);
- title: review title;
- content: review text;
- sentiment: sentiment (<em>positive</em> or <em>negative</em>);
- source_url.
### Python


### Dataset Summary
The dataset contains user reviews about medical facilities.

In total it contains 70,597 reviews. The detailed distribution on sentiment scale is:
- 41,419 positive reviews;
- 29,178 negative reviews. ### Data Fields
Each sample contains the following fields:
- review_id;
- category category of medical facility (one of 48);
- title: review title;
- content: review text;
- sentiment: sentiment (<em>positive</em> or <em>negative</em>);
- source_url. ### Python
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-10K<n<100K #language-Russian #region-us 
 ### Dataset Summary
The dataset contains user reviews about medical facilities.

In total it contains 70,597 reviews. The detailed distribution on sentiment scale is:
- 41,419 positive reviews;
- 29,178 negative reviews. ### Data Fields
Each sample contains the following fields:
- review_id;
- category category of medical facility (one of 48);
- title: review title;
- content: review text;
- sentiment: sentiment (<em>positive</em> or <em>negative</em>);
- source_url. ### Python
passage: TAGS
#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-monolingual #size_categories-10K<n<100K #language-Russian #region-us 
### Dataset Summary
The dataset contains user reviews about medical facilities.

In total it contains 70,597 reviews. The detailed distribution on sentiment scale is:
- 41,419 positive reviews;
- 29,178 negative reviews.### Data Fields
Each sample contains the following fields:
- review_id;
- category category of medical facility (one of 48);
- title: review title;
- content: review text;
- sentiment: sentiment (<em>positive</em> or <em>negative</em>);
- source_url.### Python