mlfoundations-cua-dev/easyr1-114k-hard-qwen7b-easy-gta1-4MP-nores-jedi-fix-synced-aug-jitter-coord-grid
easyr1-114k-hard-qwen7b-easy-gta1-4MP-nores-jedi-fix-synced-aug-jitter-coord-grid Augmented version of easyr1-114k-hard-qwen7b-easy-gta1-4MP-nores-jedi-fix-synced-aug-jitter with a fixed 100px coordinate grid overlay. Each image is overlaid with vertical and horizontal grid lines every 100 pixels at native resolution. Major ticks (every 1 steps) are emphasized and axis labels show pixel values to help models localize precise coordinates. Summary Generated on:… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-114k-hard-qwen7b-easy-gta1-4MP-nores-jedi-fix-synced-aug-jitter-coord-grid.
easyr1-114k-hard-qwen7b-easy-gta1-4MP-nores-jedi-fix-synced-aug-jitter-coord-grid
Augmented version of easyr1-114k-hard-qwen7b-easy-gta1-4MP-nores-jedi-fix-synced-aug-jitter with a fixed 100px coordinate grid overlay.
Each image is overlaid with vertical and horizontal grid lines every 100 pixels at native resolution. Major ticks (every 1 steps) are emphasized and axis labels show pixel values to help models localize precise coordinates.
Summary
- Generated on: 2025-09-10 19:44:59 UTC
- Source dataset:
easyr1-114k-hard-qwen7b-easy-gta1-4MP-nores-jedi-fix-synced-aug-jitter - Split:
train - Grid pixel step: 100
- Label every N steps: 1
- Images column behavior: replaced in-place
- Samples before: 114022
- Samples after: 114022
Usage
from datasets import load_dataset
ds = load_dataset("mlfoundations-cua-dev/easyr1-114k-hard-qwen7b-easy-gta1-4MP-nores-jedi-fix-synced-aug-jitter-coord-grid")
train = ds["train"]
print(len(train))
print(train.column_names)