Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
sentiment-classification
Languages:
Russian
Size:
100K<n<1M
Tags:
language: | |
- ru | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 10K<n<100K | |
task_categories: | |
- text-classification | |
task_ids: | |
- sentiment-classification | |
### 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) | |
``` | |