datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mac-app-store-apps-metadata
Dataset Card for Macappstore Applications Metadata
📌 Dataset status: static snapshot (no scheduled updates). The data was collected from the public iTunes Search API between December 2023 and January 2024 and reflects the Mac App Store as of that period. The dataset is stable and remains available for research use; it is not refreshed on a schedule.
Mac App Store Applications Metadata sourced by the public API.
Curated by: MacPaw Way Ltd.
Language(s) (NLP): Mostly EN, DE… See the full description on the dataset page: https://huggingface.co/datasets/macpaw-research/mac-app-store-apps-metadata.CodeContests_apps_format
Dataset Card for "CodeContests_apps_format"
More Information needed
cash-advance-apps
Overdraft Apps Cash Advance Directory
Structured comparison of US cash advance and earned-wage access apps maintained by Overdraft Apps.
This Hub listing mirrors the public machine-readable exports published at:
Dataset JSON / CSV: https://overdraftapps.com/data/
cash-advance-apps.json
cash-advance-apps.csv
Interactive directory homepage: https://overdraftapps.com/
Scoring methodology: https://overdraftapps.com/methodology/
Full markdown dump:… See the full description on the dataset page: https://huggingface.co/datasets/overdraftapps/cash-advance-apps.app-store-apps-charts-reviews-sample
App Store Apps, Charts & Review Sentiment — Free Sample
Free samples from a mobile-app intelligence dataset of 6,384 chart apps built entirely from Apple's official public APIs (iTunes RSS charts, Search & Lookup) plus Google Play public pages: app metadata, chart-rank snapshots, review-derived sentiment metrics, and a unique "Category Opportunity Index" that ranks every US App Store category by high demand × low rating — where the most underserved app markets are.
➡️ Full… See the full description on the dataset page: https://huggingface.co/datasets/zalizedata/app-store-apps-charts-reviews-sample.ai-companion-apps-directory
AI Companion Apps Directory (2026)
A maintained dataset of AI companion / AI girlfriend / NSFW AI chat applications with published monthly pricing, free-tier availability, and editorial scores. Compiled from each app's published pricing pages and the research library at AI Companion Desk — scores follow the methodology described at aicompaniondesk.com/methodology.
Last updated: 2026-09-25 · Apps tracked: 21
Files
apps.csv — one row per application: name, monthly… See the full description on the dataset page: https://huggingface.co/datasets/aicompaniondesk/ai-companion-apps-directory.APPS-verified
Introduction
This dataset contains verified solutions from the APPS dataset's training set. Solutions that fail to pass all the test cases are removed. Problems with no correct solution are also removed.
The solutions were executed on Intel E5-2620 v3 CPUs with the execution timeout set to 10 seconds.
Statistics in the training set
Dataset
# Problems
# Solutions
TACO
5000
117232
TACO-verified
4211
93921
Correct Ratio
84.22%
80.12%
mobile-apps-user-sentiment-reviews
Top Mobile Apps User Sentiment & Review Corpus (Google Play)
Overview
This dataset contains clean, structured public data exported directly from production runs of Apify actors.
It serves as a benchmark and sample for lead qualification, market intelligence, research, and machine learning pipelines.
Source Actor: captainhandsome/google-play-reviews-scraper
Dataset Page: Public sample and schema
Preconfigured Run Task: captainhandsome/instagram-1star-reviews… See the full description on the dataset page: https://huggingface.co/datasets/joeygambino/mobile-apps-user-sentiment-reviews.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
apps_pnyx
PNYX - Apps
This is a splitted and tested version of APPS dataset, refer to it for further information on the original dataset construction.
This version is designed to be compatible with the hf_evaluate code_eval package and to be executed with lm-eval code_eval package.
This dataset does not include all the original fields. Some are modified and some are completely new:
id: Same as the original APPS dataset.
difficulty: Difficulty of the problem. Same as the original APPS… See the full description on the dataset page: https://huggingface.co/datasets/PNYX/apps_pnyx.app-store-reviews-scraper
App Store Reviews Scraper
Scrape Apple App Store reviews, star ratings and app version history for any iOS app in any country storefront. No login, no API key.
Rows in this dataset
23,048
Fields
43
Collector runs behind it
88
Most recent observation
2026-08-04
Browsable presentation
https://reapx.dev/data/app-store-reviews-scraper/ — 176 entity pages
Run the collector yourself
https://apify.com/reapx/app-store-reviews-scraper
What this is… See the full description on the dataset page: https://huggingface.co/datasets/reapxdev/app-store-reviews-scraper.appsec-router-pairs-r5
appsec-router-pairs-r5
Training data for pratikamin/appsec-router-deberta-r5:
pairs of an application-security interview answer and a hypothesis about the speaker, labelled
1 when the answer expresses the point and 0 when it does not.
Entirely synthetic. Answers were generated by openai/gpt-oss-120b (Apache 2.0) to 86 authored
interview questions and their 378 follow-ups from appsecinterview.com, in several registers; labels
come from the same model judging each answer against… See the full description on the dataset page: https://huggingface.co/datasets/pratikamin/appsec-router-pairs-r5.control-apps-cleaned
control-apps-cleaned
A curated subset of the APPS dataset (Hendrycks et al., NeurIPS 2021), pre-filtered for use in the ARENA AI Control chapter — a teaching replication of Greenblatt et al. 2023 (arXiv:2312.06942).
What's in here
cleaned_apps.jsonl — 1,202 problems from the APPS "interview" split, filtered to a uniform I/O schema (inputs and outputs are each one of list[str], list[int], list[list[str]], list[list[int]]). Each line is a JSON record with the… See the full description on the dataset page: https://huggingface.co/datasets/styme3279/control-apps-cleaned.apps-control-arena-high-qualityafrica-synth-mhealth-mobile-apps-all
MHealth & Mobile Health Apps | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: technology_digital - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public datasets… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-mhealth-mobile-apps-all.answers-with-reasoning-apps
answers-with-reasoning-apps
Self-distillation SFT corpus: Qwen3-8B-Instruct's own all-tests-pass
chain-of-thought rollouts on APPS interview tier (code domain).
Generation
Source problems: codeparrot/apps, difficulty == "interview" filter on both train (2000 problems) and test (3000 problems) splits = 5000 candidate problems. Problems with empty / malformed input_output are dropped (~6%), leaving 4692 candidates. LCB-v5 (our held-out code benchmark) does not overlap APPS… See the full description on the dataset page: https://huggingface.co/datasets/abhayesian/answers-with-reasoning-apps.apps-rl-ds-7b-inst-labeledapps-rl-ds-7b-base-labeledaitw-gmail-major-apps-classified
AiTW Gmail and Major App Classified Index
This dataset is a processed, app-labeled subset/index built from the public
jacklishufan/aitw Hugging Face mirror of Android in the Wild (AiTW), with
official Google Research AiTW split files applied by episode_id.
The goal is to make AiTW easier to use for GUI-agent training by adding readable
app labels, package/activity summaries, major-app proportions, and a ready-to-use
Gmail training subset.
Compatibility
The source… See the full description on the dataset page: https://huggingface.co/datasets/KMK040412/aitw-gmail-major-apps-classified.2and3_apps_30k_v4_tag5_sameprompt_processedoutputs-apps
How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code
This dataset contains model generated solutions for the apps test dataset. We use this outputs for our experiments.Feel free to analyze this solutions and cite our paper if this dataset helps your research.We are pleased to announce that our work will appear in EMNLP 2025.
Here is our preprint, and we recommend you to read our paper if you are interested in evaluating the… See the full description on the dataset page: https://huggingface.co/datasets/sh0416/outputs-apps.apps_reshuffled2and3_apps_76_v6_processedapp-store-data-api-sample-data
Apple App Store API — Apps, Reviews, Ratings & ASO
Unofficial Apple App Store API in one Apify actor. 10 endpoints: app details, search, reviews, top charts, similar apps, developer profiles, autocomplete, rating histograms, privacy labels, version history. Pure HTTP, sub-3s cold start, batch & parallel. For iOS devs, ASO and AI tools.
What the actor scrapes
🍎 Apple App Store API — Scrape iOS Apps, Reviews, Ratings & ASO Data Unofficial Apple App Store API in a… See the full description on the dataset page: https://huggingface.co/datasets/logiover/app-store-data-api-sample-data.a1_code_apps_qwen3_annotatedapps_500_qwen7b_att_iter0_att10_sol5a1_code_apps_qwen3apps-taco-code-solve-rate2and3_apps_3k_v3_processed2and3_apps_40k_v7_processedarena-control-apps-v5-dataset
Arena Control Apps V5 Dataset
A curated dataset for training and evaluating models on collusion signal detection in code.
Dataset Overview
Metric
Value
Total samples
1,793
Train split
1,493
Test split
300
Label 0 (clean)
765
Label 1 (backdoor)
1,028
Bucket Distribution
Bucket
Count
Label
Description
clean
465
0
Clean code, no backdoor, no signal
clean_signal_a
100
0
Clean code + Signal A
clean_signal_b
100
0
Clean code +… See the full description on the dataset page: https://huggingface.co/datasets/jprivera44/arena-control-apps-v5-dataset.