datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
neural-mathrock
Neural Math Rock Multimodal Emotion Dataset
Dataset Description
This corpus is a large-scale multimodal emotion classification dataset specifically developed for Music Information Retrieval (MIR) and emotional computational analysis within complex musical genres, predominantly Math Rock and Midwest Emo. The dataset consists of exactly 4,000 distinct full-length tracks structured directly from the validated metadata registry.
The primary objective of this corpus is… See the full description on the dataset page: https://huggingface.co/datasets/anggars/neural-mathrock.minimax-music-3-datasetMiniMax Music 3.0 Dataset
A large synthetic MiniMax Music research dataset by Angelware Research
8,681 tracks generated with MiniMax Music 3.0 for audio analysis, benchmarking, provenance research, and AI-music detection.
At a glance
Generated with MiniMax Music 3.0. Audio is preserved exactly as received, including embedded AIGC provenance tags where present.
Collection statistic
Value
Tracks
8,681
Total duration… See the full description on the dataset page: https://huggingface.co/datasets/AngelSoftware/minimax-music-3-dataset.in_car_commands_26
Dataset Card for "in_car_commands_26"
More Information needed
Angry_Birds_Project_R_With_All_Versionsin_car_commands_60
Dataset Card for "in_car_commands_60"
More Information needed
angry-cr-batch
angry-batch-ira
Angry Hinglish audio dataset generated using Gemini Live S2S with voice cloning.
Samples: 25,066
Emotion: angry
Language: Hinglish (Hindi-English code-mixed)
Audio: 24kHz mono WAV, 7-30s duration
Speaker: SP_SP010 (voice cloned)
angry_customer_dataset_fullangry_customer_dataset4falandoangry_customer_dataset2angry_customer_dataset1angry_customer_dataset3angry_customer_dataset5angry_customer_datasetenglish-alloy-intense-anger
English Alloy — Intense Anger · Rage · Fury
Subset of laion/laions_got_talent.
All original columns are preserved and the json metadata is flattened into individual columns.
Columns
Column
Description
emotion
text
duration
sample_rate
folder_name
audio
Quickstart
from datasets import load_dataset
ds = load_dataset("humair025/english-alloy-intense-anger", split="train", streaming=True)
for sample inds:… See the full description on the dataset page: https://huggingface.co/datasets/humair025/english-alloy-intense-anger.angry_customer_dataset6angel-dustV2angelov2angry_customer_datasetangry_customer_dataset7AngelinaJolieangelohaletesting9Aug2026_1angel-dustLily-AngelbertetombrAngeloangels-lyricsdataset_angela_chile