datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
siglip-doc-understanding-classifier
SigLIP Doc Understanding — Unanswerable Question Detection Dataset
A mixed answerable / unanswerable benchmark dataset built from DocVQA and MP-DocVQA, used to
train and evaluate the siglip-doc-understanding-classifier
unanswerable-question detector.
Each row pairs a document image with a question. Half of the questions are the original,
answerable DocVQA/MP-DocVQA questions; the other half are corrupted versions of those same
questions — modified so the document image no longer… See the full description on the dataset page: https://huggingface.co/datasets/giacolees/siglip-doc-understanding-classifier.Safe_Unsafe_Test-Understanding-output-labels-qwen
Dataset Card for Safe-Unsafe-Video_Understanding
This is a FiftyOne dataset with 40 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("pjramg/Safe_Unsafe_Test-Understanding-output-labels-qwen")
# Launch the App
session =… See the full description on the dataset page: https://huggingface.co/datasets/pjramg/Safe_Unsafe_Test-Understanding-output-labels-qwen.