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README.md

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-license: cc-by-4.0
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+# Audio Speech Recognition Dataset
+
+## Dataset Card
+
+### Dataset Summary
+This dataset comprises high-quality audio recordings of a standardized 50-word paragraph, designed for training and evaluating automatic speech recognition (ASR) models. Each recording captures the text: "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!" The dataset supports the development of robust speech recognition systems by providing clear, unedited voice samples contributed by individuals worldwide.
+
+### Supported Tasks and Leaderboards
+- **Task Categories**: Automatic Speech Recognition (ASR)
+- **Supported Tasks**: 
+  - Speech-to-text transcription
+  - Audio signal processing
+  - Voice synthesis (secondary use)
+  - Natural language processing (NLP) applications (secondary use)
+- **Leaderboards**: None currently established.
+
+### Languages
+- **Primary Language**: English (en)
+- **Future Potential**: Multilingual recordings may be added in future versions.
+
+## Dataset Structure
+
+### Data Instances
+Each instance consists of an audio file and corresponding metadata:
+- **Audio**: Stored in the `audio/` directory with filenames like `voice_recording1.mp3`, `voice_recording2.mp3`, etc.
+- **Formats**: MP3, WAV, or M4A
+- **Duration**: 20–25 seconds per recording
+
+### Data Fields
+The `metadata.csv` file includes:
+- `file_name`: Path to the audio file (e.g., `audio/voice_recording1.mp3`)
+- `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!"
+- `duration`: Audio length in seconds (e.g., 22)
+- `license`: License information (e.g., "CC BY 4.0")
+
+### Data Splits
+- **Default Split**: `train` (all data assigned to this split)
+- **Future Splits**: `validation` and `test` splits may be added as the dataset grows.
+
+## Dataset Creation
+
+### Curation Rationale
+This dataset was created to provide high-quality, standardized audio data for training and evaluating ASR models. The consistent 50-word paragraph ensures uniformity while allowing diversity in accents and speaking styles, making it ideal for improving speech-to-text accuracy.
+
+### Source Data
+- **Contributors**: Individuals worldwide who recorded the standardized paragraph.
+- **Recording Guidelines**: Contributors record in a quiet environment, using their natural speaking style, without background noise, music, or other speakers. Recordings are original, unedited, and 20–25 seconds long.
+
+### Annotations
+- **Annotation Process**: The `metadata.csv` file includes manual transcriptions (the fixed 50-word paragraph) and metadata such as file name, duration, and license.
+- **Annotators**: Dataset maintainers and contributors.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+This dataset aims to advance AI speech recognition by providing diverse, high-quality voice samples, potentially improving accessibility and usability of voice-driven technologies. However, care should be taken to ensure fair representation across demographics to avoid bias in trained models.
+
+### Discussion of Biases
+- **Current Limitation**: With fewer than 1,000 samples, the dataset may lack sufficient diversity in age, gender, and accents.
+- **Mitigation**: Encouraging contributions from varied demographics to enhance representativeness.
+
+### Other Known Limitations
+- **Size**: The dataset is small (<1,000 samples), limiting its robustness for large-scale ASR training.
+- **Language**: Currently English-only; multilingual expansion is planned.
+- **Out-of-Scope Use**: Not designed for real-time speech applications or commercial use without adhering to the CC BY 4.0 license.
+
+## Additional Information
+
+### Dataset Curators
+- Maintained by the dataset creator (please add your name or organization if applicable).
+- Contact: Use the Hugging Face Discussions tab for inquiries or contributions.
+
+### Licensing Information
+- **License**: CC BY 4.0, permitting use, distribution, and modification with attribution. See [Creative Commons](https://creativecommons.org/licenses/by/4.0/) for details.
+
+### Citation Information
+```bibtex
+@dataset{audio_speech_recognition_2025,
+  author = {Dataset Creator},
+  title = {Audio Speech Recognition Dataset},
+  year = {2025},
+  publisher = {Hugging Face},
+  license = {CC BY 4.0}
+}