datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
common-voice-17-en-age-gender-accentcommon-voice-17-en-age-genderEmilia-dataset-french-with-gender
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/AdrienB134/Emilia-dataset-french-with-gender.commonvoice_train_gender_accent_16k
Dataset Card for "commonvoice_train_gender_accent_16k"
More Information needed
gender-based-violence-datasetcommon-voice-17-en-age-gender-accent-sampledvoxceleb_gender_test@article{nagrani2020voxceleb,
title={Voxceleb: Large-scale speaker verification in the wild},
author={Nagrani, Arsha and Chung, Joon Son and Xie, Weidi and Zisserman, Andrew},
journal={Computer Speech \& Language},
volume={60},
pages={101027},
year={2020},
publisher={Elsevier}
}
@article{wang2024audiobench,
title={AudioBench: A Universal Benchmark for Audio Large Language Models},
author={Wang, Bin and Zou, Xunlong and Lin, Geyu and Sun, Shuo and Liu, Zhuohan and Zhang… See the full description on the dataset page: https://huggingface.co/datasets/AudioLLMs/voxceleb_gender_test.common-voice-17-en-age-gender-sampledglobe-v3-gender-miniiemocap_gender_recognition@article{busso2008iemocap,
title={IEMOCAP: Interactive emotional dyadic motion capture database},
author={Busso, Carlos and Bulut, Murtaza and Lee, Chi-Chun and Kazemzadeh, Abe and Mower, Emily and Kim, Samuel and Chang, Jeannette N and Lee, Sungbok and Narayanan, Shrikanth S},
journal={Language resources and evaluation},
volume={42},
pages={335--359},
year={2008},
publisher={Springer}
}
@article{wang2024audiobench,
title={AudioBench: A Universal Benchmark for Audio Large… See the full description on the dataset page: https://huggingface.co/datasets/AudioLLMs/iemocap_gender_recognition.ViSpeech-Gender-Dialect-Classificationimport datasets as hugDS
import pandas as pd
import os
os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
from df.io import resample
from df.enhance import enhance, init_df
import torch
import warnings
df_model, df_state, _ = init_df()
SAMPLING_RATE = 16_000
def normalize_vietmed(example):
global vietmed_info
example["gender"] = vietmed_info[vietmed_info["Speaker ID"] == example["Speaker ID"]]["Gender"].values[0].lower()
example["dialect"] = vietmed_info[vietmed_info["Speaker ID"] ==… See the full description on the dataset page: https://huggingface.co/datasets/hr16/ViSpeech-Gender-Dialect-Classification.qa_BBQ_trans_gender
Dataset Card for "qa_BBQ_trans_gender"
More Information needed
VoxCeleb-GenderGender_Classificationcstr-vctk-gender-miniGLOBE_V3_gender_N_allsplitsvoice-gender-clustering
Dataset Details
VoxCelebs Dataset separated by gender (https://dagshub.com/DagsHub/audio-datasets/src/main/voice_gender_detection)
Dataset Description
Celebrities voice recordings separated by their gender.
Dataset Sources [optional]
VoxCeleb dataset (https://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox2.html)
\Separation (https://dagshub.com/DagsHub/audio-datasets/src/main/voice_gender_detection)
qa_BBQ_bi_gender
Dataset Card for "qa_BBQ_bi_gender"
More Information needed
globe-v2-gender-miniIndicVoices_R_Hindi_Gender1_Age0qa_CBBQ_bi_gender
Dataset Card for "qa_CBBQ_bi_gender"
More Information needed
benchmark-genderspeech_commands_10labels_genderevenlabelsgender_audio_1080
Dataset Card for mcv_spk_emb
This is the speaker embeddings (xvectors) of mozilla common voice_11 speakers, -with the original audios-. Vectors are extracted with speechBrain's xvector model using this script
by concatinating 11 splits from MCV_11 making a set of 1080 different speakers and 30k audio samples using this script.
The main goal of this data was to train and test a voice gender detection classifier.
Dataset Details
Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/AsmaaQ/gender_audio_1080.GenderQA
Dataset Card for SAKURA-GenderQA
This dataset contains the audio and the single/multi-hop questions/answers of the gender track of the SAKURA benchmark from Interspeech 2025 paper, "SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information".
The fields of the dataset are:
file: The filename of the audio files.
audio: The audio recordings.
attribute_label: The attribute labels (i.e., gender of the speakers) of the audio files.… See the full description on the dataset page: https://huggingface.co/datasets/SLLM-multi-hop/GenderQA.GenderQA-gemini-1.5-flash
Dataset Card for "GenderQA-gemini-1.5-flash"
More Information needed
GenderQA-gemini-1.5-pro-caption
Dataset Card for "GenderQA-gemini-1.5-pro-caption"
More Information needed
speech_commands_with_genderGender_Emotion_FilteringGenderQA-LTUAS-caption
Dataset Card for "GenderQA-LTUAS-caption"
More Information needed