Datasets:
| 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']}") | |
| ``` | |