datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Egocentric_10K_Evaluation
Dataset Card for Egocentric_10K_Evaluation
This is a FiftyOne dataset with 30000 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("Voxel51/Egocentric_10K_Evaluation")
# Launch the App
session = fo.launch_app(dataset)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/Egocentric_10K_Evaluation.WEIRD
WEIRD
Описание задачи
WEIRD – это расширенная версия подзадачи бинарной классификации оригинального английского бенчмарка WHOOPS!. Датасет оценивает, способна ли мультимодальная модель обнаруживать нарушения здравого смысла в изображениях. Здесь нарушение здравого смысла – это ситуации, противоречащие типичным нормам реальности. Например, пингвины не могут летать, дети не водят автомобили, посетители не накладывают еду официантам, и так далее. В датасете поровну… See the full description on the dataset page: https://huggingface.co/datasets/MERA-evaluation/WEIRD.CLIP-FMoE-Evaluation
CLIP-FMoE Evaluation Data
Evaluation datasets used by the CLIP-FMoE repository.
Large raw image directories are stored as uncompressed .tar files. This avoids uploading millions of individual image files and makes download/extraction substantially faster.
Repository layout
clip_benchmark/wds_<dataset>/ Existing CLIP_benchmark WebDataset shards
retrieval/docci_iiw/ Metadata + docci_arr_new/images_aar.tar
retrieval/dci/ Annotations +… See the full description on the dataset page: https://huggingface.co/datasets/moneyzz432/CLIP-FMoE-Evaluation.japanese-image-classification-evaluation-dataset
recruit-jp/japanese-image-classification-evaluation-dataset
Overview
Developed by: Recruit Co., Ltd.
Dataset type: Image Classification
Language(s): Japanese
LICENSE: CC-BY-4.0
More details are described in our tech blog post.
日本語CLIP学習済みモデルとその評価用データセットの公開
Dataset Details
This dataset is comprised of four image classification tasks related to concepts and things unique to Japan. Specifically, is consists of the following tasks.
jafood101: Image… See the full description on the dataset page: https://huggingface.co/datasets/recruit-jp/japanese-image-classification-evaluation-dataset.evaluation-dataset
DeepSafe Evaluation Dataset
Evaluation set for DeepSafe,
a deepfake detection benchmark.
Tiers
Tier
Samples
Generators
Size
Use
master_eval_small/
198
116
1.7 GB
smoke test, under 2 min
master_eval/
15,454
411
10 GB
the standard benchmark
master_eval_full/
45,954
411
25 GB
complete set
Medium tier composition: 9,954 image, 3,500 audio, 2,000 video.
from huggingface_hub import snapshot_download
snapshot_download("deepsafe/evaluation-dataset"… See the full description on the dataset page: https://huggingface.co/datasets/deepsafe/evaluation-dataset.chest-xrays-evaluation_cnn-cls
🩻 Chest X-Ray: Detección de Anomalías
Dataset de imágenes de radiografías de tórax procesadas para tareas de clasificación binaria (Normal vs Anomalía). Este dataset forma parte del curso de Deep Learning de inGeniia, utilizado para enseñar Redes Convolucionales (CNN) y Transfer Learning con modelos como YOLO11 (modo clasificación).
🖼️ Descripción del Dataset
Las imágenes han sido extraídas originalmente de Kaggle y procesadas con técnicas de Data Augmentation para… See the full description on the dataset page: https://huggingface.co/datasets/inGeniia/chest-xrays-evaluation_cnn-cls.chest-xrays-evaluation_cnn-cls
🩻 Chest X-Ray: Detección de Anomalías
Dataset de imágenes de radiografías de tórax procesadas para tareas de clasificación binaria (Normal vs Anomalía). Este dataset forma parte del curso de Deep Learning de inGeniia, utilizado para enseñar Redes Convolucionales (CNN) y Transfer Learning con modelos como YOLO11 (modo clasificación).
🖼️ Descripción del Dataset
Las imágenes han sido extraídas originalmente de Kaggle y procesadas con técnicas de Data Augmentation para… See the full description on the dataset page: https://huggingface.co/datasets/edgardoporto/chest-xrays-evaluation_cnn-cls.evaluation
Skill-Aligned Annotation for Text-to-Image Evaluation
Companion dataset for the NeurIPS 2026 paper "Towards Objective Evaluation".
The dataset contains generated images from 7 text-to-image models, evaluated
by 6 human annotators (anonymized) plus an LLM judge across 9 skill-aligned
annotation strategies.
Configs
Config
Rows
Description
images
621
Generated images (621 WebP) with embedded bytes; one row per (prompt_id, generator).
prompts
179
Per-prompt… See the full description on the dataset page: https://huggingface.co/datasets/Skill-Aigned/evaluation.