datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
playwright_with_chunk_google_map_huggingface_379_d4a19c_catalog
Derived: Product Catalog Insights
Aggregated product catalog statistics enriched with ticket-derived signals.
Attribution & Redistribution
This dataset is derived from the following upstream source(s):
Upstream Source
Repository
License
github_fetch_huggingface_terminal_9046_nxauzm_upstream_support_tickets
TianfuXinqu/github_fetch_huggingface_terminal_9046_nxauzm_upstream_support_tickets
apache-2.0
Redistribution is permitted under the apache-2.0… See the full description on the dataset page: https://huggingface.co/datasets/TianfuXinqu/playwright_with_chunk_google_map_huggingface_379_d4a19c_catalog.messengers-reviews-google-play
Reviews on Messengers Dataset - Review dataset
The Reviews on Messengers Dataset is a comprehensive collection of 200 the most recent customer reviews on 6 messengers obtained from the popular app store, Google Play. See the list of the apps below.
This dataset encompasses reviews written in 5 different languages: English, French, German, Italian, Japanese.
💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/messengers-reviews-google-play.GooglePlayStoreApps
📱 Google Play Store 2020 — What Made an App Go Viral?
A data-driven EDA of 9,436 apps released in 2020, exploring the patterns behind viral success on the Play Store.
🎬 Video Walkthrough
Can't see the video? Click here to watch
🔬 Research Question
"What made an app released in 2020 go viral?"
Defined as reaching 1M+ installs by June 2021 — within 6–18 months of launch.
2020 was chosen deliberately: the COVID-19 pandemic drove unprecedented mobile app… See the full description on the dataset page: https://huggingface.co/datasets/yonilev/GooglePlayStoreApps.google-play-reviewGoogle-Play-Reviews-for-Sentiment-Analysisgoogle_play_store_reviewsgoogle-play-reviewThis dataset is built as a playground for beginner to make a use case for creating sentiment analysis model.google-playstoregoogleplay-review-ind-classification
GooglePlayReview_ind_Classification
Deduplicated copy of kornwtp/googleplay-review-ind-classification.
Splits
split
rows
train
5,191
validation
2,320
google_play_apps
Dataset Card for Google Play App Data
Dataset Summary
This dataset contains the data I downloaded from Kaggle
and analyzed in a Jupyter Notebook to demonstrate my data science skills. You can find it in my Github repo.
GooglePlay_Reviews_of_Language_Learning_Apps针对谷歌市场上语言学习APP收集的评论数据集，包含正面情感数据与负面情感数据
Dataset of collected reviews for language learning apps on the Google Play Store, including both positive and negative sentiment data.
alhamdulliah123_google-play-store-apps-ratings-reviews
Google Play Store Apps – Ratings, Reviews
A comprehensive dataset to explore app performance, user ratings, installs
Dataset Info
Source: Kaggle
Original Size: 0.02 MB
Kaggle Downloads: 145
Files: 1
Files
google_play_store_apps_famous.csv
Mirrored from Kaggle
netflix-google-play-reviews-samplegoogle-play-data-api-sample-data
Google Play Data API Scraper
Unofficial REST-style API for Google Play Store. Search apps, get full details,
extract reviews, list category top charts, fetch developer profiles, get app
permissions. Built for developers, ASO tools, and app analytics platforms.
What the actor scrapes
📱 Google Play Data API — Unofficial Google Play Store Scraper (Apps, Reviews, Search & More) The fastest, most complete unofficial Google Play APIon Apify. One Actor, 10 endpoints:… See the full description on the dataset page: https://huggingface.co/datasets/logiover/google-play-data-api-sample-data.playwright_with_chunk_google_map_huggingface_379_d4a19c_reports
Derived: Quarterly Review Trend Report
Quarterly trend report derived from product review data.
Attribution & Redistribution
This dataset is derived from the following upstream source(s):
Upstream Source
Repository
License
github_fetch_huggingface_terminal_9046_nxauzm_upstream_product_reviews
TianfuXinqu/github_fetch_huggingface_terminal_9046_nxauzm_upstream_product_reviews
cc-by-nc-4.0
Redistribution is permitted under the cc-by-nc-4.0 license.… See the full description on the dataset page: https://huggingface.co/datasets/TianfuXinqu/playwright_with_chunk_google_map_huggingface_379_d4a19c_reports.playwright_with_chunk_google_map_huggingface_379_d4a19c_watchlist
Derived: Ticket Watchlist
A watchlist of high-priority topics derived from support ticket data.
Attribution & Redistribution
This dataset is derived from the following upstream source:
Upstream Source
Repository
License
Customer Support Ticket Log (2025)
TianfuXinqu/github_fetch_huggingface_terminal_9046_nxauzm_upstream_support_tickets
Apache-2.0
Redistribution is permitted under the Apache-2.0 license. Attribution to the
upstream source is… See the full description on the dataset page: https://huggingface.co/datasets/TianfuXinqu/playwright_with_chunk_google_map_huggingface_379_d4a19c_watchlist.googleplay-review-ind-classificationid_google_play_reviewIndonesian Google Play Review, dataset scrapped from e-commerce app on Google Play for sentiment analysis.
Total number of data: 10041 (train: 7028, validation: 3012). Provided by Jakarta AI Research.indonesian-googleplay-sentiment
Indonesian Google Play Review Sentiment Dataset
A sentiment classification dataset of 5,336 Indonesian-language Google Play reviews
collected from three widely used Indonesian applications: Gojek (on-demand transport
and delivery), Tokopedia, and Shopee (e-commerce).
The dataset accompanies the paper Sentiment Classification of Indonesian Google Play
Reviews: A Hybrid Evaluation of Random Forest, CNN, and IndoBERT (ICORIS 2026).
Collection
Reviews were retrieved… See the full description on the dataset page: https://huggingface.co/datasets/RimuruChan67/indonesian-googleplay-sentiment.googleplay-review-ind-classificationgoogleplaystoregoogleplay-reviews-ptbr
Google Play Reviews - PT-BR (particionado por app)
Dataset com ~40 GB de reviews do Google Play em português (Brasil), um arquivo por app, em formato JSONL (ou JSONL.GZ).
Estrutura
reviews/: *.jsonl (ou *.jsonl.gz) por aplicativo
metadata.csv: app, arquivo, nº de linhas, tamanho, sha256, primeira/última data detectadas
Googleplay_sentimentyoutube_filesystem_google_map_terminal_fetch_playwright_with_chunk_huggingface_1422_6726df634fgoogle-play-apps-review-pt
Google Play Apps Review PT (Teeny-Tiny Castle)
This dataset is part of a tutorial tied to the Teeny-Tiny Castle, an open-source repository containing educational tools for AI Ethics and Safety research.
How to Use
from datasets import load_dataset
dataset = load_dataset("AiresPucrs/google-play-apps-review-pt", split = 'train')
fetch_rail_12306_filesystem_huggingface_google_map_terminal_playwright_with_chunk_3373_s98oqsgoogleplay-bank-apps-indonesia
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/roniwahyu/googleplay-bank-apps-indonesia.