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.easyr1-49k-hard-qwen7b-easy-gta1-stacked-pro-apps-no-resolution-in-prompt-ui-vision-5k-jedi-4MP
easyr1-49k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt-ui-vision-grounding-4MP-add-5k-jedi
Merged dataset composed of the following sources:
datasets/easyr1-44k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt-ui-vision-grounding-4MP (44769 samples in split train)
datasets/easyr1-21k-jedi-grounding-4MP-gta1-nores-fixed (18032 samples in split train)
Summary
Generated on: 2025-09-14 03:24:59 UTC
Split: train
Column strategy:… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-49k-hard-qwen7b-easy-gta1-stacked-pro-apps-no-resolution-in-prompt-ui-vision-5k-jedi-4MP.easyr1-44k-hard-qwen7b-easy-gta1-stacked-pro-apps-no-resolution-in-prompt-ui-vision-4MP
easyr1-44k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt-ui-vision-grounding-4MP
Merged dataset composed of the following sources:
datasets/easyr1-38k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt (38979 samples in split train)
datasets/ui-vision-grounding-4MP (5790 samples in split train)
Summary
Generated on: 2025-09-13 22:23:37 UTC
Split: train
Column strategy: intersection
Samples after merge: 44769
Usage
from… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-44k-hard-qwen7b-easy-gta1-stacked-pro-apps-no-resolution-in-prompt-ui-vision-4MP.nasa_space_apps_2024_seismic_detection
Welcome, Space Apps challengers, to “Seismic Detection across the Solar System”.
Today, we challenge YOU to parse through seismic data collected on the Moon and Mars and figure out how to detect moonquakes and marsquakes!
To get you started on the data, we present to you a training set containing the following:
A catalog of quakes identified in the data
Seismic data collected by the Apollo (one day segments) or InSight (one hour segments) missions in miniseed and CSV format.… See the full description on the dataset page: https://huggingface.co/datasets/MH0386/nasa_space_apps_2024_seismic_detection.professional-apps-grounding-with-filteringeasyr1-10k-hard-qwen7b-easy-gta1-4MP-professional-apps-grounding-only-no-resolution-in-prompt
easyr1-10k-hard-qwen7b-easy-gta1-4MP-professional-apps-grounding-only-no-resolution-in-prompt
This dataset was generated using the EasyR1 grounding dataset pipeline.
Generation Details
Generated on: 2025-08-26 12:16:32 UTC
Script: push_easyr1_to_hf.py
Data directory: /lustre/fsw/portfolios/nvr/users/aawadalla/LLaMA-Factory/data
Parameters Used
Maximum samples: 10000
Image resize (max megapixels): 4.0 MP
Minimum native image resolution: 0.0 MP
Prompt format:… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-10k-hard-qwen7b-easy-gta1-4MP-professional-apps-grounding-only-no-resolution-in-prompt.appsdelajuste1easyr1-38k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt
easyr1-38k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt
This dataset was generated using the EasyR1 grounding dataset pipeline.
Generation Details
Generated on: 2025-08-24 18:17:24 UTC
Script: push_easyr1_to_hf.py
Data directory: /lustre/fsw/portfolios/nvr/users/aawadalla/LLaMA-Factory/data
Parameters Used
Maximum samples: 50000
Image resize (max megapixels): 4.0 MP
Minimum native image resolution: 0.0 MP
Prompt format: gta1
Output… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-38k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt.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.easyr1-v2-pro-apps-with-electron-data-plus-icon-data-from-yt-2k-4MP
easyr1-v2-pro-apps-with-electron-data-plus-icon-data-from-yt-2k-4MP
This dataset was generated using the EasyR1 grounding dataset pipeline.
Generation Details
Generated on: 2025-09-03 08:32:38 UTC
Script: push_easyr1_to_hf.py
Data directory: datasets
Parameters Used
Maximum samples: 2000
Image resize (max megapixels): 4.0 MP
Minimum native image resolution: 0.0 MP
Prompt format: gta1
Output format: coordinates
Random seed: 42
Resampling enabled: False
Icon… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-v2-pro-apps-with-electron-data-plus-icon-data-from-yt-2k-4MP.os-bench-multiple_appsafrica-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.easyr1-10k-hard-qwen7b-easy-gta1-4MP-add-pro-apps-with-qwen7b-not-grounded-filter
easyr1-10k-hard-qwen7b-easy-gta1-4MP-add-pro-apps-with-qwen7b-not-grounded-filter
This dataset was generated using the EasyR1 grounding dataset pipeline.
Generation Details
Generated on: 2025-08-24 09:50:39 UTC
Script: push_easyr1_to_hf.py
Data directory: /lustre/fsw/portfolios/nvr/users/aawadalla/LLaMA-Factory/data
Parameters Used
Maximum samples: 10000
Image resize (max megapixels): 4.0 MP
Minimum native image resolution: 0.0 MP
Prompt format:… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-10k-hard-qwen7b-easy-gta1-4MP-add-pro-apps-with-qwen7b-not-grounded-filter.easyr1-v2-pro-apps-plus-icon-data-from-yt-1k-4MP-composed
easyr1-v2-pro-apps-plus-icon-data-from-yt-1k-4MP-composed
This dataset was generated using the enhanced EasyR1 grounding dataset pipeline with composition capabilities.
Generation Details
Generated on: 2025-09-04 00:43:47 UTC
Script: push_easyr1_composed_to_hf.py
Data directory: /p/project1/synthlaion/awadalla1/datasets
Parameters Used
Maximum samples: 1000
Image resize (max megapixels): 4.0 MP
Minimum native image resolution: 0.0 MP
Prompt format: gta1… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-v2-pro-apps-plus-icon-data-from-yt-1k-4MP-composed.easyr1-10k-hard-qwen7b-easy-gta1-4MP-resampled-add-in-house-pro-apps
easyr1-10k-hard-qwen7b-easy-gta1-4MP-resampled-add-in-house-pro-apps
This dataset was generated using the EasyR1 grounding dataset pipeline.
Generation Details
Generated on: 2025-08-21 22:25:05 UTC
Script: push_easyr1_to_hf.py
Data directory: /lustre/fsw/portfolios/nvr/users/aawadalla/LLaMA-Factory/data
Parameters Used
Maximum samples: 10000
Image resize (max megapixels): 4.0 MP
Prompt format: gta1_with_resolution
Output format: coordinates
Random seed: 42… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-10k-hard-qwen7b-easy-gta1-4MP-resampled-add-in-house-pro-apps.easyr1-10k-hard-qwen7b-easy-gta1-4MP-in-house-pro-apps-remove-worst-data-sources
easyr1-10k-hard-qwen7b-easy-gta1-4MP-in-house-pro-apps-remove-worst-data-sources
This dataset was generated using the EasyR1 grounding dataset pipeline.
Generation Details
Generated on: 2025-08-22 17:10:38 UTC
Script: push_easyr1_to_hf.py
Data directory: /lustre/fsw/portfolios/nvr/users/aawadalla/LLaMA-Factory/data
Parameters Used
Maximum samples: 10000
Image resize (max megapixels): 4.0 MP
Prompt format: gta1_with_resolution
Output format: coordinates… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-10k-hard-qwen7b-easy-gta1-4MP-in-house-pro-apps-remove-worst-data-sources.google_apps_step3000_historyimageFalseeasyr1-v2-pro-apps-manually-labeled-icon-data-from-yt-4MP
easyr1-v2-pro-apps-manually-labeled-icon-data-from-yt-4MP
This dataset was generated using the EasyR1 grounding dataset pipeline.
Generation Details
Generated on: 2025-09-06 00:30:03 UTC
Script: push_easyr1_to_hf.py
Data directory: datasets
Parameters Used
Maximum samples: 2000
Image resize (max megapixels): 4.0 MP
Minimum native image resolution: 0.0 MP
Prompt format: gta1
Output format: coordinates
Random seed: 42
Resampling enabled: False
Icon upsampling… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-v2-pro-apps-manually-labeled-icon-data-from-yt-4MP.google_apps_step3000_historyimageFalse_uitars_actionspacespace_apps_2024_seismic_detectionWindows_Appsappsdelajusteshopify-abandoned-cart-apps-market-intelligence
Shopify Abandoned Cart Apps Market Intelligence Dataset
This dataset packages 281 current Shopify App Store abandoned-cart apps into one analysis-ready table for ecommerce tooling research, merchant screening, pricing analysis, and competitive intelligence.
It starts from Shopify's live Abandoned cart category and enriches each app with pricing-plan structure, review volume, Built for Shopify flags, languages, integrations, category feature labels, developer metadata, and… See the full description on the dataset page: https://huggingface.co/datasets/Karmane/shopify-abandoned-cart-apps-market-intelligence.apps_gimp_vscode
Promo Assets Task - Revised Files
Files Included
task.json - The revised task definition with humanized instruction
evaluator_2181657e.py - Standalone Python evaluator script for HuggingFace
How to Use
Step 1: Upload Evaluator to HuggingFace
Create a HuggingFace dataset (or use existing one)
Upload evaluator_2181657e.py to the dataset
Get the raw URL, which should look… See the full description on the dataset page: https://huggingface.co/datasets/oluwafikayo/apps_gimp_vscode.shopify-returns-protection-apps-market-intelligence
Shopify Returns & Protection Apps Market Intelligence Dataset
This dataset packages 237 current Shopify App Store returns, exchanges, warranty, and shipping-protection apps into one analysis-ready table for ecommerce tooling research, merchant screening, pricing analysis, and competitive intelligence.
It starts from Shopify's live returns-and-exchanges and warranties-and-insurance lanes and enriches each app with pricing-plan structure, review volume, Built for Shopify flags… See the full description on the dataset page: https://huggingface.co/datasets/Karmane/shopify-returns-protection-apps-market-intelligence.shopify-back-in-stock-preorder-apps-market-intelligence
Shopify Back-in-Stock & Preorder Apps Market Intelligence Dataset
This dataset packages 280 current Shopify App Store back-in-stock and preorder apps into one analysis-ready table for ecommerce tooling research, merchant screening, pricing analysis, and competitive intelligence.
It starts from Shopify's live stock-alerts and pre-orders lanes and enriches each app with pricing-plan structure, review volume, Built for Shopify flags, languages, integrations, category feature labels… See the full description on the dataset page: https://huggingface.co/datasets/Karmane/shopify-back-in-stock-preorder-apps-market-intelligence.shopify-cash-on-delivery-apps-market-intelligence
Shopify Cash on Delivery Apps Market Intelligence Dataset
This dataset packages 68 current Shopify App Store COD-focused apps into one analysis-ready table for checkout-operations research, merchant screening, pricing analysis, and competitive intelligence.
It starts from Shopify's live Pay later lane, filters for COD-focused listings, and enriches each app with pricing-plan structure, review volume, Built for Shopify flags, languages, integrations, category feature labels… See the full description on the dataset page: https://huggingface.co/datasets/Karmane/shopify-cash-on-delivery-apps-market-intelligence.shopify-wholesale-b2b-apps-market-intelligence
Shopify Wholesale & B2B Apps Market Intelligence Dataset
This dataset packages 179 current Shopify App Store wholesale and B2B apps into one analysis-ready table for B2B commerce tooling research, merchant screening, pricing analysis, and competitive intelligence.
It starts from Shopify's live Wholesale category and enriches each app with pricing-plan structure, review volume, Built for Shopify flags, languages, integrations, category feature labels, developer metadata, and… See the full description on the dataset page: https://huggingface.co/datasets/Karmane/shopify-wholesale-b2b-apps-market-intelligence.