Datasetpublic

mlfoundations-cua-dev/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… 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.

sourceHugging Faceupdated 1y agoView on Hugging Face

0likes95downloads

Dataset Card

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: intersection
—Samples after merge: 49769

Usage

python

from datasets import load_dataset
ds = load_dataset("easyr1-49k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt-ui-vision-grounding-4MP-add-5k-jedi")
split = ds["train"]
print(len(split))
print(split.column_names)