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Data · dataset · 2022

blinoff/medical_institutions_reviews

Listed in Hugging Face Datasets

Dataset

Description

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.

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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'… See the full description on the dataset page: huggingface.co/datasets/blinoff/medical_institutions_reviews.

Links

Topics

Stated by source
text classification
Inferred from text
Text 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsblinoff/medical_institutions_reviews14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0