---
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

```python
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']}")
```