datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wds_fer2013QtMeshEditor-motion-corpus
QtMeshEditor Motion Corpus
A permissively-licensed animated-humanoid corpus: rigged 3D characters
with skeletal animation clips, harvested for
QtMeshEditor's text-to-motion
v2 work (epic #837)
— the template clip library and the training set for a from-scratch
flow-matching motion model.
Every asset is CC0 or CC-BY — nothing here derives from Mixamo, LAFAN1,
Bandai-Namco, AMASS/HumanML3D, or game rips (all license-poisoned for
commercial redistribution). That makes this corpus —… See the full description on the dataset page: https://huggingface.co/datasets/fernandotonon/QtMeshEditor-motion-corpus.fer2013fer2013_train_publicTest_privateTest
Dataset Card for "fer2013_train_publicTest_privateTest"
More Information needed
bne-hemeroteca-ocr-xix
BNE Hemeroteca OCR Dataset (19th Century)
This dataset provides full-text OCR and high-resolution page images for 19th-century Spanish publications sourced from the Biblioteca Nacional de España (BNE) - Hemeroteca Digital. It consists of over 830,000 pages from approximately 40,000 documents, totaling roughly 800 million text tokens.
Note on Temporal Coverage: Although the selected publications originated in the 19th century, some long-running titles extend into the early 20th… See the full description on the dataset page: https://huggingface.co/datasets/ferjorosa/bne-hemeroteca-ocr-xix.ferma-camera-yolo
Ferma Camera YOLO
Dataset Summary
Цель датасета — обучить YOLO распознавать людей, собак, коров и хищников на камерах в ферме.
Data Sources
Данные собраны из нескольких источников:
часть изображений взята из OIDv6
часть изображений взята из датасета 8 calves
часть изображений взята с YouTube и размечена вручную
Data Structure
images/ — изображения .jpg
labels/ — разметка YOLO .txt (same stem)
Annotation Format
Формат YOLO: class_id… See the full description on the dataset page: https://huggingface.co/datasets/I77/ferma-camera-yolo.spectralwaste-segmentation
SpectralWaste Segmentation
SpectralWaste Segmentation is the RGB-hyperspectral dataset used for the segmentation experiments in:
SpectralWaste Dataset: Multimodal Data for Waste Sorting Automation
Sara Casao, Fernando Peña, Alberto Sabater, Rosa Castillón, Darío Suárez, Eduardo Montijano, and Ana C. Murillo
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.
It contains synchronized RGB and hyperspectral images, semantic segmentation masks for the… See the full description on the dataset page: https://huggingface.co/datasets/ferpb/spectralwaste-segmentation.FerganaFER2025
FER2025 – Facial Expression Recognition Dataset
Overview
FER2025 is a large-scale, balanced facial emotion dataset designed for deep learning and computer vision research. It contains 1,589,810 images across 7 emotion classes:
Class
Images
Angry
224,624
Disgust
239,366
Fear
223,466
Happy
222,082
Neutral
234,230
Sad
217,884
Surprise
228,158
Image formats: jpg, jpeg, png
Balanced: Maximum class difference ≈ 1.3%
FER2025 is suitable for… See the full description on the dataset page: https://huggingface.co/datasets/imadhavan/FER2025.cats-dogs-IA-26FERMAT
🧮📐 Can VLMs Evaluate Handwritten Math? ✏️✨
🎉 We present FERMAT, a benchmark designed to rigorously test the multimodal reasoning and auto-evaluation capabilities of Vision-Language Models (VLMs) using real-world handwritten math problems! 📝🧠
🎯 What’s Inside FERMAT?
2,244 handwritten math solutions, carefully annotated across core mathematical domains:
🔢 Arithmetic | 📏 Algebra | 📐 Geometry | 📏 Mensuration | 🎲 Probability | 📊 Statistics | 📐 Trigonometry | 📈… See the full description on the dataset page: https://huggingface.co/datasets/ai4bharat/FERMAT.fer2013_preprocessfer2013vision_auto_rubricFernNature-Landscape
Synthetic Nature Landscape Dataset
This dataset contains synthetic images only, generated using a text-to-image diffusion model.No real photographs or human subjects are included.
Prompt Used for Generation
Positive prompt:realistic nature landscape
Negative prompt:ugly, blurry, poor quality, text, watermark
Hardware
Generated on an NVIDIA RTX 2060 Super (8 GB VRAM)Total generation time: approximately 1.5 hours
Generation Details
Total images: 1… See the full description on the dataset page: https://huggingface.co/datasets/ferrariedhgs/Nature-Landscape.Ferret-Bench
Large-scale Multi-modality Models Evaluation Suite
Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval
🏠 Homepage | 📚 Documentation | 🤗 Huggingface Datasets
This Dataset
This is a formatted version of FerretBench. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@article{you2023ferret,
title={Ferret: Refer and Ground Anything Anywhere at Any Granularity}… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/Ferret-Bench.Fundus_imagesferplus-7clsFer2013
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/3una/Fer2013.vision-imagesfer2013AMBERRetinopathy_1dataset-affecthqnet-fer2013
Dataset Card for "dataset-affecthqnet-fer2013"
More Information needed
genimage-midjourney-10kneuro_cnn_meningioma_39c
Neuro CNN Project - Fernando Feltrin
Brain Meningioma images (39 classes) for image classification
Dataset Summary
A collection of T1, contrast-enhanced, and T2-weighted MRI images of meningiomas sorted according to location in the brain. Images without any type of marking or patient identification, interpreted by radiologists and provided for study purposes.
Images are separated by clivus / petroclival, sphenoid / cavernous sinus, anterior cranial fossa… See the full description on the dataset page: https://huggingface.co/datasets/fernando2rad/neuro_cnn_meningioma_39c.snake-testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 56,
"total_frames": 1904,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:56"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/F-Fer/snake-test.fer2013test
Dataset Card for "fer2013test"
More Information needed
Ferret-Bench
