datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
oven-grpo-training-data
OVEN GRPO Training Data
Training data behind my MSc thesis GRPO experiments on OVEN open-domain visual
entity recognition with Qwen3-VL-4B. This is the companion to the published
GRPO adapters: the parquets,
taxonomy oracle, and self-aggregation traces they were trained on.
Layout
path
contents
taxonomy/chains_labels.jsonl
Wikidata P279 (subclass-of) chains per OVEN entity: the label hierarchy used by every hierarchical metric… See the full description on the dataset page: https://huggingface.co/datasets/jucamohedano/oven-grpo-training-data.football-dataset_training
Dataset Description
This dataset contains football (soccer) field images captured from a tactical camera perspective. The dataset contains two images per frame;
One image highlights only the green color, while all other colors are grayed out.
The other image grays out the green color, while all other colors remain in full color.
The dataset is designed for computer vision research in sports analytics, including player tracking, field understanding, and tactical analysis.
Field… See the full description on the dataset page: https://huggingface.co/datasets/chimp-ll/football-dataset_training.Experiment-SLAM-6c-custom-training-dataTemporary ad-hoc dataset for use in private training experiment.
herislab-ca-training-data
CA_Training_Data -- Convolutional Autoencoder (Track A)
Curated dataset for training and evaluating the Convolutional Autoencoder anomaly detection model.
Approach
The autoencoder is trained only on normal (no-fault) images. At inference, high reconstruction error indicates an anomaly/fault.
Structure
train/normal/ -- Normal images for autoencoder training
electric_motor/ -- 168 PNG (Electric Motor Thermal Fault Diagnosis, no_fault class)… See the full description on the dataset page: https://huggingface.co/datasets/Ryanflash/herislab-ca-training-data.autotrain-data-hannah-training-demo
AutoTrain Dataset for project: hannah-training-demo
Dataset Description
This dataset has been automatically processed by AutoTrain for project hannah-training-demo.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<842x1392 RGBA PIL image>",
"target": 0
},
{
"image": "<1004x1516 RGBA PIL image>",
"target": 0
}
]… See the full description on the dataset page: https://huggingface.co/datasets/slushily/autotrain-data-hannah-training-demo.