datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
physical-ai-bench-understanding
Physical AI Bench - Understanding
PAI-Bench (Physical AI Bench) is a comprehensive benchmark designed to evaluate physical AI generation and understanding capabilities across various real-world scenarios. This particular dataset, PAI-Bench-U, focuses specifically on Video Understanding tasks, comprising 2,808 real-world cases with task-aligned metrics.
Paper: PAI-Bench: A Comprehensive Benchmark For Physical AI
Code: GitHub Repository
Citation
If you use Physical AI… See the full description on the dataset page: https://huggingface.co/datasets/shi-labs/physical-ai-bench-understanding.Safe_Unsafe_Test-Understanding-text-qwen-embs
Dataset Card for pjramg/Safe_Unsafe_Test
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-text-qwen-embs")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/pjramg/Safe_Unsafe_Test-Understanding-text-qwen-embs.Safe_Unsafe_Test-Understanding
Dataset Card for pjramg/Safe_Unsafe_Test
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")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/pjramg/Safe_Unsafe_Test-Understanding.agenticvbench-understanding-materialsagentic_vbench_understanding_reconSafe_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.Safe_Unsafe_Test-Understanding-output-labels
Dataset Card for pjramg/Safe_Unsafe_Test
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")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/pjramg/Safe_Unsafe_Test-Understanding-output-labels.skillsbench-audio-video-understanding