Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
languages:
|
| 3 |
+
- ru
|
| 4 |
+
multilinguality:
|
| 5 |
+
- monolingual
|
| 6 |
+
size_categories:
|
| 7 |
+
- 10K<n<100K
|
| 8 |
+
task_categories:
|
| 9 |
+
- text-classification
|
| 10 |
+
- sentiment-analysis
|
| 11 |
+
task_ids:
|
| 12 |
+
- sentiment-classification
|
| 13 |
+
---
|
| 14 |
+
### Dataset Summary
|
| 15 |
+
The dataset contains user reviews about medical facilities.
|
| 16 |
+
|
| 17 |
+
In total it contains 70,597 reviews. The detailed distribution on sentiment scale is:
|
| 18 |
+
- 41,419 positive reviews;
|
| 19 |
+
- 29,178 negative reviews.
|
| 20 |
+
### Data Fields
|
| 21 |
+
Each sample contains the following fields:
|
| 22 |
+
- **review_id**;
|
| 23 |
+
- **category** category of medical facility (one of 48);
|
| 24 |
+
- **title**: review title;
|
| 25 |
+
- **content**: review text;
|
| 26 |
+
- **sentiment**: sentiment (<em>positive</em> or <em>negative</em>);
|
| 27 |
+
- **source_url**.
|
| 28 |
+
### Python
|
| 29 |
+
```python3
|
| 30 |
+
import pandas as pd
|
| 31 |
+
df = pd.read_json('hfreviews.jsonl', lines=True)
|
| 32 |
+
df.sample(5)
|
| 33 |
+
```
|