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--- |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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- split: test |
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path: data/test-* |
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dataset_info: |
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features: |
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- name: id |
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dtype: int32 |
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- name: num_samples |
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dtype: int32 |
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- name: path |
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dtype: string |
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- name: audio |
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dtype: |
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audio: |
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sampling_rate: 16000 |
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- name: transcription |
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dtype: string |
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- name: raw_transcription |
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dtype: string |
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- name: gender |
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dtype: |
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class_label: |
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names: |
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'0': male |
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'1': female |
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'2': other |
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- name: language |
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dtype: string |
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- name: lang_group_id |
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splits: |
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- name: train |
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num_bytes: 1910030202.243 |
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num_examples: 2283 |
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- name: validation |
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num_bytes: 299915580 |
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num_examples: 368 |
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- name: test |
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num_bytes: 732875657 |
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num_examples: 838 |
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download_size: 2915269155 |
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dataset_size: 2942821439.243 |
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license: mit |
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task_categories: |
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- automatic-speech-recognition |
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language: |
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- kn |
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size_categories: |
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- 1K<n<10K |
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--- |
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This is a filtered version of the [Fleurs](https://huggingface.co/datasets/google/fleurs) dataset only containing samples of Kannada language. |
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The dataset contains total of 2283 training, 368 validation and 838 test samples. |
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|
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### Data Sample: |
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```python |
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{'id': 1053, |
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'num_samples': 226560, |
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'path': '/home/ravi.naik/.cache/huggingface/datasets/downloads/extracted/e7c8b501d4e6892673b6dc291d42de48e7987b0d2aa6471066a671f686224ed1/10000267636955490843.wav', |
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'audio': {'path': 'train/10000267636955490843.wav', |
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'array': array([ 0. , 0. , 0. , ..., -0.00100893, |
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-0.00109982, -0.00118315]), |
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'sampling_rate': 16000}, |
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'transcription': 'ವಿದೇಶದಲ್ಲಿ ವಾಸಿಸಿದ ನಂತರ ನೀವು ನಿಮ್ಮಊರಿಗೆ ಮರಳಿದಾಗ ನೀವು ಹೊಸ ಸಂಸ್ಕೃತಿಗೆ ಹೊಂದಿಕೊಂಡಿದ್ದೀರಿ ಮತ್ತು ನಿಮ್ಮ ಕುಟುಂಬ ಸಂಸ್ಕೃತಿಯಿಂದ ಕೆಲವು ಅಭ್ಯಾಸಗಳನ್ನು ಕಳೆದುಕೊಂಡಿದ್ದೀರಿ', |
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'raw_transcription': 'ವಿದೇಶದಲ್ಲಿ ವಾಸಿಸಿದ ನಂತರ ನೀವು ನಿಮ್ಮಊರಿಗೆ ಮರಳಿದಾಗ, ನೀವು ಹೊಸ ಸಂಸ್ಕೃತಿಗೆ ಹೊಂದಿಕೊಂಡಿದ್ದೀರಿ ಮತ್ತು ನಿಮ್ಮ ಕುಟುಂಬ ಸಂಸ್ಕೃತಿಯಿಂದ ಕೆಲವು ಅಭ್ಯಾಸಗಳನ್ನು ಕಳೆದುಕೊಂಡಿದ್ದೀರಿ.', |
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'gender': 1, |
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'lang_id': 47, |
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'language': 'Kannada', |
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'lang_group_id': 4} |
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``` |
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### Data Fields |
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The data fields are the same among all splits. |
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- **id** (int): ID of audio sample |
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- **num_samples** (int): Number of float values |
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- **path** (str): Path to the audio file |
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- **audio** (dict): Audio object including loaded audio array, sampling rate and path ot audio |
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- **raw_transcription** (str): The non-normalized transcription of the audio file |
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- **transcription** (str): Transcription of the audio file |
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- **gender** (int): Class id of gender |
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- **lang_id** (int): Class id of language |
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- **lang_group_id** (int): Class id of language group |
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### Use with Datasets |
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```python |
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from datasets import load_dataset |
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fleurs_kn = load_dataset("Kannada-LLM-Labs/Fleurs-Kn", split="train", streaming=True) |
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print(next(iter(fleurs_kn))) |
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``` |