datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MARVEL
Dataset Details
Dataset Description
MARVEL is a new comprehensive benchmark dataset that evaluates multi-modal large language models' abstract reasoning abilities in six patterns across five different task configurations, revealing significant performance gaps between humans and SoTA MLLMs.
Dataset Sources [optional]
Repository: https://github.com/1171-jpg/MARVEL_AVR
Paper [optional]: https://arxiv.org/abs/2404.13591
Demo [optional]:… See the full description on the dataset page: https://huggingface.co/datasets/kianasun/MARVEL.marvel-masterpieces-with-3dmesh
Dataset Card for reconstructions
Wait! Before you go, ❤️ the dataset! Let's get this trending!
This is a FiftyOne dataset with 255 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 =… See the full description on the dataset page: https://huggingface.co/datasets/harpreetsahota/marvel-masterpieces-with-3dmesh.marvel-masterpieces
Dataset Card for marvel_masterpieces
Wait! Before you go, ❤️ the dataset! Let's get this trending!
This is a FiftyOne dataset with 255 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("harpreetsahota/marvel-masterpieces")
#… See the full description on the dataset page: https://huggingface.co/datasets/harpreetsahota/marvel-masterpieces.