datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
emotionsemova-alignment-7m
EMOVA-Alignment-7M
🤗 EMOVA-Models | 🤗 EMOVA-Datasets | 🤗 EMOVA-Demo
📄 Paper | 🌐 Project-Page | 💻 Github | 💻 EMOVA-Speech-Tokenizer-Github
Overview
EMOVA-Alignment-7M is a comprehensive dataset curated for omni-modal pre-training, including vision-language and speech-language alignment.
This dataset is created using open-sourced image-text pre-training datasets, OCR datasets, and 2,000 hours of ASR and TTS data.
This dataset is part of the EMOVA-Datasets… See the full description on the dataset page: https://huggingface.co/datasets/Emova-ollm/emova-alignment-7m.emova-sft-4m
EMOVA-SFT-4M
🤗 EMOVA-Models | 🤗 EMOVA-Datasets | 🤗 EMOVA-Demo
📄 Paper | 🌐 Project-Page | 💻 Github | 💻 EMOVA-Speech-Tokenizer-Github
Overview
EMOVA-SFT-4M is a comprehensive dataset curated for omni-modal instruction tuning, including textual, visual, and audio interactions. This dataset is created by gathering open-sourced multi-modal instruction datasets and synthesizing high-quality omni-modal conversation data to enhance user experience. This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Emova-ollm/emova-sft-4m.Robot-EQ
RobotEQ-Data
Official dataset release for RobotEQ.
Evaluation & Scripts
For inference scripts, evaluation scripts, and data production tooling, see the RobotEQ code repository.
Dataset Statistics
Item
Count
Behavior judgment scenarios (synthetic)
1,812
Behavior judgment scenarios (real POV)
223
Behavior judgment scenarios (total)
2,035
Behavior judgment behavior annotations
3,171
Spatial grounding questions
825… See the full description on the dataset page: https://huggingface.co/datasets/Tongji-Emotion/Robot-EQ.emotion6-testemojis
Dataset Card for Emojis
This is a FiftyOne dataset with 1816 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("jamarks/emojis")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/jamarks/emojis.dolma-v1_7-305B-tokenized-llama2-nanosetEmoSet-118KEMID-Emotion-Matching
EMID-Emotion-Matching
orrzohar/EMID-Emotion-Matching is a derived dataset built on top of
the Emotionally paired Music and Image Dataset (EMID) from ECNU (ecnu-aigc/EMID).
It is designed for music ↔ image emotion matching with Qwen-Omni–style models.
Each example contains:
audio: mono waveform stored as datasets.Audio (HF Hub preview can play it)
sampling_rate: sampling rate used when decoding (typically 16 kHz)
image: a single image (datasets.Image)
same: bool, whether the audio… See the full description on the dataset page: https://huggingface.co/datasets/orrzohar/EMID-Emotion-Matching.child-emotion-drawings-pilot
Children's Emotional Drawings Pilot Dataset
A small balanced derived pilot dataset for experimental classification of emotional patterns in children's drawings.
Dataset
204 unique original drawings
492 total image instances
3 target classes: happiness, anxiety_depression, anger_aggression
Splits:
train: 432 images
validation: 30 images
test: 30 images
The dataset was created from the public anamelClassification dataset.
Original… See the full description on the dataset page: https://huggingface.co/datasets/stanislav-dykyi/child-emotion-drawings-pilot.emova-sft-speech-231k
EMOVA-SFT-Speech-231K
🤗 EMOVA-Models | 🤗 EMOVA-Datasets | 🤗 EMOVA-Demo
📄 Paper | 🌐 Project-Page | 💻 Github | 💻 EMOVA-Speech-Tokenizer-Github
Overview
EMOVA-SFT-Speech-231K is a comprehensive dataset curated for omni-modal instruction tuning and emotional spoken dialogue. This dataset is created by converting existing text and visual instruction datasets via Text-to-Speech (TTS) tools. EMOVA-SFT-Speech-231K is part of EMOVA-Datasets collection and is used in… See the full description on the dataset page: https://huggingface.co/datasets/Emova-ollm/emova-sft-speech-231k.emonet-face-big
EmoNet-Face: A Fine-Grained, Expert-Annotated Benchmark for Facial Emotion Recognition
Dataset Summary
EmoNet-Face is a comprehensive benchmark suite designed to address critical gaps in facial emotion recognition (FER). Current benchmarks often have a narrow emotional spectrum, lack demographic diversity, and use uncontrolled imagery. EmoNet-Face provides a robust foundation for developing and evaluating AI systems with a deeper, more nuanced understanding of human… See the full description on the dataset page: https://huggingface.co/datasets/laion/emonet-face-big.EmoArt-130k
EmoArt: A Large-Scale Emotion-Annotated Artistic Dataset
Overview
EmoArt is a comprehensive, large-scale emotion-annotated artistic dataset containing 132,664 high-resolution artworks spanning 56 painting styles across 7 thematic categories. This dataset bridges the gap between visual art and emotional computing, enabling groundbreaking research in emotion-aware AI systems.
Key Statistics
📊 132,664 artworks with rich emotional annotations
🎨 56 distinct… See the full description on the dataset page: https://huggingface.co/datasets/printblue/EmoArt-130k.ukr-emotions-binary
EmoBench-UA: Emotions Detection Dataset in Ukrainian Texts
EmoBench-UA: the first of its kind emotions detection dataset in Ukrainian texts. This dataset covers the detection of basic emotions: Joy, Anger, Fear, Disgust, Surprise, Sadness, or None.
Any text can contain any amount of emotion -- only one, several, or none at all. The texts with None emotions are the ones where the labels per emotions classes are 0.
Binary: specifically this dataset contains binary labels… See the full description on the dataset page: https://huggingface.co/datasets/ukr-detect/ukr-emotions-binary.Emotion.Intelligenceim2vec-svg-emoji
im2vec-svg-emoji
Rendered (SVG, PNG) pairs for training Im2Vec,
a raster-logo-to-SVG model. This is a pre-rendered version of
starvector/svg-emoji:
each .svg file is paired with a same-stem .png rendered at 256x256 via
cairosvg, matching this project's training pipeline
(im2vec/data/render.py).
Why this dataset
The project's original training data, FIGR-8,
turned out to contain zero color information — every sampled training
SVG relies on the SVG default fill… See the full description on the dataset page: https://huggingface.co/datasets/R1l3y-w/im2vec-svg-emoji.Visual_Emotional_AnalysisEmoSet-118Kemonet-face-hq
EmoNet-Face: A Fine-Grained, Expert-Annotated Benchmark for Facial Emotion Recognition
Dataset Summary
EmoNet-Face is a comprehensive benchmark suite designed to address critical gaps in facial emotion recognition (FER). Current benchmarks often have a narrow emotional spectrum, lack demographic diversity, and use uncontrolled imagery. EmoNet-Face provides a robust foundation for developing and evaluating AI systems with a deeper, more nuanced understanding of human… See the full description on the dataset page: https://huggingface.co/datasets/laion/emonet-face-hq.facial_emotion_images
Facial Emotion Images
Dataset Summary
facial_emotion_images contains 15,109 grayscale facial images categorized into four distinct facial expressions: happy, neutral, sad, and surprise. It is structured for image classification and emotion recognition tasks.
Dataset Structure
Data Fields
image: PIL Image object containing the cropped face photo.
label: Class label corresponding to the emotion expression.
Class Labels &… See the full description on the dataset page: https://huggingface.co/datasets/gabriellidenor/facial_emotion_images.emoji-liif
Dataset Card for emoji-liif
This dataset contains 3,165 high-resolution emoji images that have been upscaled using the LIIF (Learning Implicit Image Function) method. The images were generated from original Apple emoji assets and are provided for research and academic purposes under fair use.
Dataset Details
Dataset Description
The emoji-liif dataset consists of upscaled emoji images generated from Apple's emoji assets. Each image has been enlarged to 2000x2000… See the full description on the dataset page: https://huggingface.co/datasets/permutans/emoji-liif.emoji-assets
Twinkle AI — Mascot Emoji Collection
A collection of emoji-style stickers featuring the Twinkle AI mascot, hosted on Hugging Face and stored via Git LFS.
Available Emojis
File
Preview
images/Twinkle-emoji.png
images/Twinkle-emoji-heart.png
images/Twinkle-tearsofjoy.png
images/Twinkle-respect.png
images/Twinkle-firefirefire.png
images/Twinkle-birthdayhat.png
images/Twinkle-christmas.png
吉祥物故事：台灣石虎 (Formosan Leopard Cat)
創作者：… See the full description on the dataset page: https://huggingface.co/datasets/twinkle-ai/emoji-assets.Dog_Emotion_Dataset_v2
Dataset Card for "Dog_Emotion_Dataset_v2"
The Dataset is based on a kaggle dataset
Label and its Meaning
0 : sad"
1 : angry"
2 : relaxed"
3 : happy"
emojis
Dataset Card for Emojis.com
Dataset Summary
This dataset contains metadata for 3,264,372 AI-generated emoji images from Emojis.com. Each entry represents an emoji with associated metadata including prompt text and image URLs.
Languages
The dataset is primarily in English (en).
Dataset Structure
Data Fields
This dataset includes the following fields:
slug: Unique identifier for the emoji (string)
id: Internal ID (string)
noBackgroundUrl:… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/emojis.emoji-datasetEmotionClassEmoji_Dataset-Openmoji
Dataset Card for "Emoji_Dataset-Openmoji"
All data is 618*618 size *.png + text(4083 couple).
All emojis designed by OpenMoji(https://openmoji.org/) - the open-source emoji and icon project.
License: CC BY-SA 4.0
More Information needed
Human-Face_Images_for_Emotion_Recognitionukr-emotions-intensity
EmoBench-UA: Emotions Detection Dataset in Ukrainian Texts
EmoBench-UA: the first of its kind emotions detection dataset in Ukrainian texts. This dataset covers the detection of basic emotions: Joy, Anger, Fear, Disgust, Surprise, Sadness, or None.
Any text can contain any amount of emotion -- only one, several, or none at all. The texts with None emotions are the ones where the labels per emotions classes are 0.
Intensity: specifically this dataset contains intensity labels… See the full description on the dataset page: https://huggingface.co/datasets/ukr-detect/ukr-emotions-intensity.ZJU-Children-Emotion
ZJU Children Emotion Dataset
Dataset Description
ZJU Children Emotion Dataset (ZCED) is a multi-modal multi-group children emotion dataset aimed for the research of disease classification and emotion recognition in children with neurodevelopmental disorders.
The ZCED dataset contains both behavioral and physiological recordings based on a video-based emotional stimulation paradigm for four groups of children including 19 TD, 15 ASD, 20 ADHD, and 18 ASD+ADHD.
Data are… See the full description on the dataset page: https://huggingface.co/datasets/Jiaheng-Wang/ZJU-Children-Emotion.