cow
Datasets
All datasets matching “cow”CoW-Bench
CoW-Bench
Dataset | Evaluation Code
Authors: OpenRaiser
CoW-Bench is a comprehensive benchmark for evaluating video and image generation models' understanding of Composition of World (CoW), focusing on spatial relationships, object interactions, and temporal dynamics in multi-modal content generation.
Associated Paper
This dataset is associated with the following paper:
The Trinity of Consistency as a Defining Principle for General World Models
arXiv:… See the full description on the dataset page: https://huggingface.co/datasets/OpenRaiser/CoW-Bench.AgiBotWorld-Beta_G1_task_773_milk_a_cow
agibot_task_773
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 挤牛奶
total_episodes: 690
total_tasks: 1
size: 68G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├── observation.images.back_left_fisheye… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_773_milk_a_cow.cownaueunslop-pairs
unslop-pairs
Paired human / AI-slop text samples for training a model to detect and
reverse "AI slop" (the tics of unedited LLM prose: hedging, bullet-itis,
corporate throat-clearing, inflated vocabulary) while preserving the original
meaning.
Each pair is a human-written passage from a public corpus alongside a
synthetic rewrite pushed toward a specific slop style, then fact-checked by an
independent judge model.
Ships in four formats: SFT chat pairs, Alpaca-format instructions… See the full description on the dataset page: https://huggingface.co/datasets/cowWhySo/unslop-pairs.sd-webui-configaerial-cows
Aerial Cows
This dataset is part of the Roboflow 100 benchmark, a diverse collection of 100 object detection datasets spanning 7 imagery domains.
Dataset Statistics
Split
Images
Train
1,084
Validation
340
Test
299
Total
1,723
Classes (1)
cow
Usage
With LibreYOLO
from libreyolo import LIBREYOLO
# Load a model
model = LIBREYOLO(model_path="libreyoloXnano.pt")
# Train on this dataset… See the full description on the dataset page: https://huggingface.co/datasets/LibreYOLO/aerial-cows.