|
|
---
|
|
|
license: mit
|
|
|
task_categories:
|
|
|
- automatic-speech-recognition
|
|
|
language:
|
|
|
- en
|
|
|
tags:
|
|
|
- audio
|
|
|
- speech
|
|
|
- transcription
|
|
|
- asr
|
|
|
size_categories:
|
|
|
- n<1K
|
|
|
---
|
|
|
|
|
|
# Audio Transcription Dataset
|
|
|
|
|
|
This dataset contains audio file paths and their corresponding transcriptions for automatic speech recognition (ASR) tasks.
|
|
|
|
|
|
## Dataset Description
|
|
|
|
|
|
This dataset is structured for audio transcription tasks with two main columns:
|
|
|
- `audio`: Audio file paths (type: audio)
|
|
|
- `transcript`: Text transcriptions (type: text)
|
|
|
|
|
|
## Files
|
|
|
|
|
|
- `audio_dataset.csv`: Main dataset file containing audio paths and transcriptions
|
|
|
|
|
|
## Dataset Structure
|
|
|
|
|
|
```
|
|
|
audio,transcript
|
|
|
audio_file_1.wav,"my name is Rocky."
|
|
|
audio_file_2.wav,"Hello world, this is a test."
|
|
|
audio_file_3.wav,"This is an audio transcription example."
|
|
|
```
|
|
|
|
|
|
## Usage
|
|
|
|
|
|
You can load this dataset using the Hugging Face datasets library:
|
|
|
|
|
|
```python
|
|
|
from datasets import load_dataset
|
|
|
|
|
|
# Load the dataset
|
|
|
dataset = load_dataset("Aashish17405/my-audio-dataset")
|
|
|
|
|
|
# Access the data
|
|
|
print(dataset['train'][0]) # First example
|
|
|
print(dataset['train']['audio'][0]) # Audio file path
|
|
|
print(dataset['train']['transcript'][0]) # Transcription
|
|
|
```
|
|
|
|
|
|
Or with pandas:
|
|
|
|
|
|
```python
|
|
|
import pandas as pd
|
|
|
|
|
|
df = pd.read_csv("audio_dataset.csv")
|
|
|
print(df.head())
|
|
|
```
|
|
|
|
|
|
## Use Cases
|
|
|
|
|
|
- Automatic Speech Recognition (ASR)
|
|
|
- Speech-to-Text model training
|
|
|
- Audio transcription tasks
|
|
|
- Voice recognition systems
|
|
|
|
|
|
## License
|
|
|
|
|
|
This dataset is released under the MIT License.
|
|
|
|