Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
sentiment-classification
Languages:
Russian
Size:
1M<n<10M
Tags:
metadata
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 institutions.
In total it contains 12,036 reviews. A review tagged with the general sentiment and sentiments on 5 aspects: quality, service, equipment, food, location.
Data Fields
Each sample contains the following fields:
- review_id;
- content: review text;
- general;
- quality;
- service;
- equipment;
- food;
- location.
Python
import pandas as pd
df = pd.read_json('medical_institutions_reviews.jsonl', lines=True)
df.sample(5)