KGeN
commited on
Update README.md
Browse files
README.md
CHANGED
|
@@ -12,7 +12,6 @@ This dataset comprises high-quality audio recordings of a standardized 50-word p
|
|
| 12 |
- Audio signal processing
|
| 13 |
- Voice synthesis (secondary use)
|
| 14 |
- Natural language processing (NLP) applications (secondary use)
|
| 15 |
-
- **Leaderboards**: None currently established.
|
| 16 |
|
| 17 |
### Languages
|
| 18 |
- **Primary Language**: English (en)
|
|
@@ -22,20 +21,15 @@ This dataset comprises high-quality audio recordings of a standardized 50-word p
|
|
| 22 |
|
| 23 |
### Data Instances
|
| 24 |
Each instance consists of an audio file and corresponding metadata:
|
| 25 |
-
- **Audio**: Stored in the `audio/` directory with filenames like `
|
| 26 |
- **Formats**: MP3, WAV, or M4A
|
| 27 |
- **Duration**: 20–25 seconds per recording
|
| 28 |
|
| 29 |
### Data Fields
|
| 30 |
The `metadata.csv` file includes:
|
| 31 |
-
- `file_name`: Path to the audio file (e.g., `audio
|
| 32 |
- `text`: The transcribed 50-word paragraph: "AI is transforming our world, from voice assistants to self-driving cars. Good AI needs quality data. Your voice helps train speech recognition. Speak clearly, naturally, without noise. Be yourself. Thanks for improving AI!"
|
| 33 |
-
- `duration`: Audio length in seconds (e.g., 22)
|
| 34 |
-
- `license`: License information (e.g., "CC BY 4.0")
|
| 35 |
|
| 36 |
-
### Data Splits
|
| 37 |
-
- **Default Split**: `train` (all data assigned to this split)
|
| 38 |
-
- **Future Splits**: `validation` and `test` splits may be added as the dataset grows.
|
| 39 |
|
| 40 |
## Dataset Creation
|
| 41 |
|
|
@@ -63,22 +57,3 @@ This dataset aims to advance AI speech recognition by providing diverse, high-qu
|
|
| 63 |
- **Size**: The dataset is small (<1,000 samples), limiting its robustness for large-scale ASR training.
|
| 64 |
- **Language**: Currently English-only; multilingual expansion is planned.
|
| 65 |
- **Out-of-Scope Use**: Not designed for real-time speech applications or commercial use without adhering to the CC BY 4.0 license.
|
| 66 |
-
|
| 67 |
-
## Additional Information
|
| 68 |
-
|
| 69 |
-
### Dataset Curators
|
| 70 |
-
- Maintained by the dataset creator (please add your name or organization if applicable).
|
| 71 |
-
- Contact: Use the Hugging Face Discussions tab for inquiries or contributions.
|
| 72 |
-
|
| 73 |
-
### Licensing Information
|
| 74 |
-
- **License**: CC BY 4.0, permitting use, distribution, and modification with attribution. See [Creative Commons](https://creativecommons.org/licenses/by/4.0/) for details.
|
| 75 |
-
|
| 76 |
-
### Citation Information
|
| 77 |
-
```bibtex
|
| 78 |
-
@dataset{audio_speech_recognition_2025,
|
| 79 |
-
author = {Dataset Creator},
|
| 80 |
-
title = {Audio Speech Recognition Dataset},
|
| 81 |
-
year = {2025},
|
| 82 |
-
publisher = {Hugging Face},
|
| 83 |
-
license = {CC BY 4.0}
|
| 84 |
-
}
|
|
|
|
| 12 |
- Audio signal processing
|
| 13 |
- Voice synthesis (secondary use)
|
| 14 |
- Natural language processing (NLP) applications (secondary use)
|
|
|
|
| 15 |
|
| 16 |
### Languages
|
| 17 |
- **Primary Language**: English (en)
|
|
|
|
| 21 |
|
| 22 |
### Data Instances
|
| 23 |
Each instance consists of an audio file and corresponding metadata:
|
| 24 |
+
- **Audio**: Stored in the `audio/` directory with filenames like `audio1.mp3`, `audio2.mp3`, etc.
|
| 25 |
- **Formats**: MP3, WAV, or M4A
|
| 26 |
- **Duration**: 20–25 seconds per recording
|
| 27 |
|
| 28 |
### Data Fields
|
| 29 |
The `metadata.csv` file includes:
|
| 30 |
+
- `file_name`: Path to the audio file (e.g., `audio.mp3`)
|
| 31 |
- `text`: The transcribed 50-word paragraph: "AI is transforming our world, from voice assistants to self-driving cars. Good AI needs quality data. Your voice helps train speech recognition. Speak clearly, naturally, without noise. Be yourself. Thanks for improving AI!"
|
|
|
|
|
|
|
| 32 |
|
|
|
|
|
|
|
|
|
|
| 33 |
|
| 34 |
## Dataset Creation
|
| 35 |
|
|
|
|
| 57 |
- **Size**: The dataset is small (<1,000 samples), limiting its robustness for large-scale ASR training.
|
| 58 |
- **Language**: Currently English-only; multilingual expansion is planned.
|
| 59 |
- **Out-of-Scope Use**: Not designed for real-time speech applications or commercial use without adhering to the CC BY 4.0 license.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|