Datasets:

tzzte
/

TalkingFaceDataset

license: cc-by-nc-4.0
task_categories:
  - automatic-speech-recognition
language:
  - en
tags:
  - talking-face
  - speech
  - demographics
size_categories:
  - 10K<n<100K

Talking Face Dataset

Dataset Description

This dataset contains short audio clips of people speaking, along with demographic information. It is intended for tasks related to speech analysis, speaker identification.

Dataset Structure

The dataset contains the following columns:

id: Unique identifier for each audio sample.
speech_caption: Transcription of the spoken content.
race: Speaker's race (Black, White, Asian, Unknown).
age: Speaker's age group.
gender: Speaker's gender (Male, Female).
audio: The audio data, loaded from the corresponding file.

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("tzzte/TalkingFaceDataset")

# Access a sample
sample = dataset["train"][0]
print(f"Caption: {sample['speech_caption']}")
print(f"Gender: {sample['gender']}")
print(f"Audio: {sample['audio']}")