Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
English
Size:
1K<n<10K
Tags:
License:
metadata
language:
- en
license:
- unknown
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
dataset_info:
features:
- name: text
dtype: string
- name: inputs
struct:
- name: text
dtype: string
- name: prediction
list:
- name: label
dtype: string
- name: score
dtype: float64
- name: prediction_agent
dtype: string
- name: annotation
dtype: 'null'
- name: annotation_agent
dtype: 'null'
- name: multi_label
dtype: bool
- name: explanation
dtype: 'null'
- name: id
dtype: string
- name: metadata
dtype: 'null'
- name: status
dtype: string
- name: event_timestamp
dtype: timestamp[us]
- name: metrics
struct:
- name: text_length
dtype: int64
splits:
- name: train
num_bytes: 2761597
num_examples: 2347
download_size: 1691346
dataset_size: 2761597
Dataset Card for "uber-reviews"
Dataset Description
- Homepage: Kaggle Challenge
- Repository: https://www.kaggle.com/datasets/jschne61701/uber-rides-costumer-reviews-dataset
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A.
Dataset Summary
Using Python's Beautiful Soup library and Scrappy framework, scraped date, star rating, and comment from all reviews from 2013 - 2019.
Languages
english
Citation Information
https://www.kaggle.com/datasets/jschne61701/uber-rides-costumer-reviews-dataset https://www.sitejabber.com/reviews/uber.com https://www.consumeraffairs.com/travel/uber.html https://www.kaggle.com/purvank/uber-rider-reviews-dataset
Contributions
Thanks to @davidberenstein1957 for adding this dataset.