datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
reachy-mini-emotions-library
Reachy Mini Emotions Library
Curated emotion recordings for the Reachy Mini robot, maintained by
Pollen Robotics. Each move is a JSON trajectory (head pose, antennas,
body yaw, sampled over time) paired with an Opus audio track.
Motion is sampled at 50 Hz; audio is mono Ogg/Opus (decoded natively by
the robot). Requires reachy_mini ≥ v1.8.4 (its move loader resolves
non-.wav audio sidecars).
File layout
Files live at the root of the dataset, named <emotion>.json +… See the full description on the dataset page: https://huggingface.co/datasets/pollen-robotics/reachy-mini-emotions-library.microduck-emotions
Microduck Emotions
A collection of emotions for the Microduck robot. Each one is a motion and a sound designed together, beat by
beat, with the beak opening on the sound, rendered in the physics simulation and validated on the real robot. Every
emotion is three files: the motion (emotions/<name>.json, keyframes at 30 fps: head and body offsets played on
top of whichever trained policy is active, plus the policy hand-overs, such as the sit that devastated and play dead
start)… See the full description on the dataset page: https://huggingface.co/datasets/pollen-robotics/microduck-emotions.AffectDF_EmotionSDD
AffectDF: Emotionally Expressive Speech Deepfake Benchmark
Overview
AffectDF is a large-scale benchmark for speech deepfake detection under emotionally expressive spoofing conditions. The dataset is designed to evaluate whether current speech deepfake detection (SDD) systems can generalize beyond conventional neutral-speech benchmarks to modern emotional and expressive speech attacks.
AffectDF contains approximately 260 hours of audio generated using 21 spoofing… See the full description on the dataset page: https://huggingface.co/datasets/AffectDF/AffectDF_EmotionSDD.urdu-emotions
URDU-Dataset
1. General information
URDU dataset contains emotional utterances of Urdu speech gathered from Urdu talk shows. It contains 300 utterances of four basic emotions: Angry, Happy, and Neutral. There are 38 speakers (27 male and 11 female). This data is created from YouTube. Speakers are selected randomly.
For more details about dataset, please refer the complete paper "Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages".… See the full description on the dataset page: https://huggingface.co/datasets/2DamnWav/urdu-emotions.talromur3_without_emotions
Overview
This corpus is an emotion-less version of Talromur3_with_prompts. talromur_3_without_emotions is a prompt-labelled corpus that can be used for fine-tuning models, such as ParlerTTS.The corpus consists of approximately 15,000 utterances, spoken by 7 named speakers in 6 different emotions (see more info here).
The dataset is an expanded version of Talromur-3: an Icelandic emotional speech corpus.We have added natural-language descriptions of utterance-level pitch, speech… See the full description on the dataset page: https://huggingface.co/datasets/atlithor/talromur3_without_emotions.emotions-test
Test Version of humair025/TTS-Dataset-Batched
TTS-Dataset-Batched
Dataset Overview
TTS-Dataset-Batched is a large-scale, multi-speaker English text-to-speech dataset optimized for efficient processing and training. The Original dataset contains 556,667 high-quality audio samples across 30 unique speakers, totaling over 1,024 hours of speech data.
This is a batched version of a larger consolidated dataset, split into manageable chunks for easier downloading… See the full description on the dataset page: https://huggingface.co/datasets/humair025/emotions-test.english_emotionsmusic-berkeley-emotions
Dataset Card for "music-berkeley-emotions"
More Information needed
ravdess-singing-emotions
Dataset Card for "ravdess-singing-emotions"
More Information needed
emotion-speech-data13-dimensions-music-emotions
Dataset Card for Music Emotion Ratings Across Cultures
This dataset captures the mean emotional category ratings for 1,841 music samples based on subjective experiences reported by participants from the United States and China. The ratings were collected as part of the study to uncover the universal and nuanced emotions evoked by instrumental music.
Dataset Details
Dataset Sources
Paper: What music makes us feel: At least 13 dimensions organize subjective… See the full description on the dataset page: https://huggingface.co/datasets/baobaoh/13-dimensions-music-emotions.processed_audio_tr-with-emotions
Dataset Card for "processed_audio_tr-with-emotions"
More Information needed
reachy-mini-emotions-library-50hz-opus
Reachy Mini Emotions Library — 50 Hz + Opus (compressed test build)
Compressed variant of the
Reachy Mini Emotions Library,
produced to evaluate a smaller on-disk / faster-to-upload move format. Same 81
moves, same choreography and audio content — only the encoding changed:
Motion re-sampled to 50 Hz (was 100 Hz) using the SDK's own
interpolation, with float precision rounded to 6 decimals
(1 micron / 1 microradian — physically lossless for this hardware).
Audio transcoded from… See the full description on the dataset page: https://huggingface.co/datasets/RemiFabre/reachy-mini-emotions-library-50hz-opus.english_emotions_taggedprocessed_english_emotions_taggedVibeCheckAudio_EmotionSpeech13-dimensions-music-emotions
Dataset Card for Music Emotion Ratings Across Cultures
This dataset captures the mean emotional category ratings for 1,841 music samples based on subjective experiences reported by participants from the United States and China. The ratings were collected as part of the study to uncover the universal and nuanced emotions evoked by instrumental music.
Dataset Details
Dataset Sources
Paper: What music makes us feel: At least 13 dimensions organize subjective… See the full description on the dataset page: https://huggingface.co/datasets/JJBoy-09/13-dimensions-music-emotions.audio-emotions-collectionAI-Emotionsprocessed_english_emotionsemotionsenglish_emotionsVibeCheckRandomSamples_VibeCheckAudio_EmotionSpeechsongs_dataset_with_emotionsRAVDESS_5_emotionsASR-Emotions-HiASR-Emotions-En