Datasetpublic

mlfoundations-cua-dev/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… 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.

sourceHugging Faceupdated 1y agoView on Hugging Face

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Dataset Card

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

python

from datasets import load_dataset
ds = load_dataset("easyr1-44k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt-ui-vision-grounding-4MP")
split = ds["train"]
print(len(split))
print(split.column_names)