Datasets:
Formats:
parquet
Size:
1K - 10K
Tags:
audio
text
speech-translation
text-translation
machine-translation
automatic-speech-recognition
License:
Update README.md
Browse files
README.md
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* target_audio (datasets.Audio): An audio feature containing the recorded speech in the target language. When loaded, provides the path, decoded audio array, and sampling rate (16000 Hz).
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* [Optional Fields]: Currently, the only additional/ optional field here is "Speaker" denoting the name of the speaker.
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Below is a bird's eye view of the directory structure for this repository:
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```
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Hypa_Fleurs/
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└── load_dataset.py
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```
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> **Note:** Adjust file names and structures based on your actual implementation.
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---
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## Usage
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print(dataset[0])
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```
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### Example Code
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A sample script to load and inspect the dataset is provided in the `examples/load_dataset.py` file:
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```python
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import datasets
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def main():
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# Load text dataset
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text_ds = datasets.load_dataset("your-username/Hypa_Fleurs", split="train")
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print("Text Sample:", text_ds[0])
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# Load audio dataset (if configured as a separate configuration)
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audio_ds = datasets.load_dataset("your-username/Hypa_Fleurs", name="audio", split="train")
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print("Audio Sample:", audio_ds[0])
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if __name__ == "__main__":
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main()
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```
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---
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## Data Preparation
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* target_audio (datasets.Audio): An audio feature containing the recorded speech in the target language. When loaded, provides the path, decoded audio array, and sampling rate (16000 Hz).
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* [Optional Fields]: Currently, the only additional/ optional field here is "Speaker" denoting the name of the speaker.
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> Below is a bird's eye view of the directory structure for this repository:
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```
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Hypa_Fleurs/
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└── load_dataset.py
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```
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---
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## Usage
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print(dataset[0])
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```
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---
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## Data Preparation
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