datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
yelp_review_full
Dataset Card for YelpReviewFull
Dataset Summary
The Yelp reviews dataset consists of reviews from Yelp.
It is extracted from the Yelp Dataset Challenge 2015 data.
Supported Tasks and Leaderboards
text-classification, sentiment-classification: The dataset is mainly used for text classification: given the text, predict the sentiment.
Languages
The reviews were mainly written in english.
Dataset Structure
Data Instances
A… See the full description on the dataset page: https://huggingface.co/datasets/Yelp/yelp_review_full.yelp_polarity
Dataset Card for "yelp_polarity"
Dataset Summary
Large Yelp Review Dataset.
This is a dataset for binary sentiment classification. We provide a set of 560,000 highly polar yelp reviews for training, and 38,000 for testing.
ORIGIN
The Yelp reviews dataset consists of reviews from Yelp. It is extracted
from the Yelp Dataset Challenge 2015 data. For more information, please
refer to http://www.yelp.com/dataset_challenge
The Yelp reviews polarity dataset is constructed by… See the full description on the dataset page: https://huggingface.co/datasets/fancyzhx/yelp_polarity.yelp_review_fullfiltered_yelp_restaurant_reviews
Dataset Card for "filtered_yelp_restaurant_reviews"
More Information needed
yelp-open-dataset-businessyelp-open-dataset-reviewsyelp_restaurant_review_labelled
Dataset Card for "yelp_restaurant_review_labelled"
More Information needed
More info about the dataset
dataset downloaded from Yelp
labelling
if review star < 3 is 0 (negative)else if review star == 3 is 1 (neutral)else if review star > 3 is 2 (positive)
YelpTokenized
Dataset Card for "YelpTokenized"
More Information needed
yelp_restaurant_reviews_5kyelp_food_business_review_dataset_2Myelp2018
Samsoup/yelp2018 (Regression)
A sentiment regression dataset derived from the Kaggle Yelp Reviews Dataset
(https://www.kaggle.com/datasets/omkarsabnis/yelp-reviews-dataset), split into 70% train / 15% validation / 15% test.
Fields
text – review text
label – float in [1.0, 5.0] (the original star rating)
Preparation
We kept only text and stars, renamed the target to label (kept in 1..5 as float),
and created a stratified 70/15/15 split by the discrete star bins (1..5).
Citation… See the full description on the dataset page: https://huggingface.co/datasets/Samsoup/yelp2018.Yelp18_m1
Yelp18_m1
Dataset description:
The data statistics are summarized as follows:
Dataset ID
#Users
#Items
#Interactions
#Train
#Test
Density
Yelp18_m1
31,668
38,048
1,561,406
1,237,259
324,147
0.00130
Data format:user_id item1 item2 ...
Source: https://www.yelp.com/dataset
Download: https://huggingface.co/datasets/reczoo/Yelp18_m1/tree/main
RecZoo Datasets: https://github.com/reczoo/Datasets
Used by papers:
Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong… See the full description on the dataset page: https://huggingface.co/datasets/reczoo/Yelp18_m1.Yelpdata_663
Dataset Card for Yelp Resturant Dataset
Dataset Description
Dataset Access
Yelp Raw Data Download Link
Raw Dataset Summary
Yelp raw data encompasses a wealth of information from the Yelp platform, detailing user reviews, business ratings, and operational specifics across a diverse array of local establishments.
To be more specific, yelp raw dataset contains five different JSON datasets:
yelp_academic_dataset_business.json (118.9MB)
This file… See the full description on the dataset page: https://huggingface.co/datasets/Johnnyeee/Yelpdata_663.task475_yelp_polarity_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task475_yelp_polarity_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task475_yelp_polarity_classification.task746_yelp_restaurant_review_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task746_yelp_restaurant_review_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task746_yelp_restaurant_review_classification.task1292_yelp_review_full_text_categorization
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1292_yelp_review_full_text_categorization
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1292_yelp_review_full_text_categorization.yelp_academic_dataset_reviewtask927_yelp_negative_to_positive_style_transfer
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task927_yelp_negative_to_positive_style_transfer
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task927_yelp_negative_to_positive_style_transfer.yelp_2013Dataset used in the paper:
A thorough benchmark of automatic text classification
From traditional approaches to large language models
https://github.com/waashk/atcBench
To guarantee the reproducibility of the obtained results, the dataset and its respective CV train-test partitions is available here.
Each dataset contains the following files:
data.parquet: pandas DataFrame with texts and associated encoded labels for each document.
split_<k>.pkl: pandas DataFrame with k-cross validation… See the full description on the dataset page: https://huggingface.co/datasets/waashk/yelp_2013.yelp-open-dataset-businessyelp_polarity
Dataset Card for "yelp_polarity"
Dataset Summary
Large Yelp Review Dataset.
This is a dataset for binary sentiment classification. We provide a set of 560,000 highly polar yelp reviews for training, and 38,000 for testing.
ORIGIN
The Yelp reviews dataset consists of reviews from Yelp. It is extracted
from the Yelp Dataset Challenge 2015 data. For more information, please
refer to http://www.yelp.com/dataset_challenge
The Yelp reviews polarity dataset is constructed by… See the full description on the dataset page: https://huggingface.co/datasets/ajay232/yelp_polarity.yelp_reviewitalian-yelp-reviews-datasetyelp_review_sampledYelp_for_seq_classification
Dataset Card for "Yelp_for_seq_classification"
More Information needed
Sentiment-Analysis-Text-from-Yelp-Imdb-AmazonYelp-Restaurant-DatasetDPL-Yelpyelp-open-dataset-top-businessesYelp_Reviews_for_Sentiment_Analysis_fine_grained_5_classes
Dataset Card for Dataset Name
The Yelp reviews full star dataset is constructed by randomly taking 130,000 training samples and 10,000 testing samples for each review star from 1 to 5. In total there are 650,000 trainig samples and 50,000 testing samples.
Dataset Description
The files train.csv and test.csv contain all the training samples as comma-sparated values. There are 2 columns in them, corresponding to class index (1 to 5) and review text. The review texts are… See the full description on the dataset page: https://huggingface.co/datasets/yassiracharki/Yelp_Reviews_for_Sentiment_Analysis_fine_grained_5_classes.