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metadata
languages:
  - ru
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
task_categories:
  - text-classification
  - sentiment-analysis
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)