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--- |
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dataset_info: |
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features: |
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num_examples: 1727 |
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download_size: 427925747 |
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dataset_size: 422983034.212 |
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- config_name: EGY |
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features: |
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splits: |
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num_bytes: 248454696.488 |
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num_examples: 1024 |
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download_size: 247782272 |
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dataset_size: 248454696.488 |
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- config_name: IRQ |
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features: |
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dtype: audio |
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dtype: string |
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dtype: float64 |
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dtype: int64 |
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splits: |
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num_examples: 2198 |
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dataset_size: 697811072.846 |
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- config_name: MAR |
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features: |
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num_examples: 1083 |
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dataset_size: 201561364.32 |
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- config_name: MSA |
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features: |
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num_examples: 2902 |
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- config_name: SAU |
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features: |
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dtype: int64 |
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splits: |
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num_examples: 1375 |
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download_size: 267593891 |
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dataset_size: 266749969.375 |
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- config_name: UAE |
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features: |
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- name: audio |
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dtype: audio |
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dtype: string |
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dtype: string |
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dtype: int64 |
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splits: |
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- name: test |
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num_bytes: 339792881.448 |
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num_examples: 1048 |
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download_size: 336006078 |
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dataset_size: 339792881.448 |
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configs: |
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- config_name: ALG |
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data_files: |
|
|
- split: test |
|
|
path: ALG/test-* |
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- config_name: EGY |
|
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data_files: |
|
|
- split: test |
|
|
path: EGY/test-* |
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|
- config_name: IRQ |
|
|
data_files: |
|
|
- split: test |
|
|
path: IRQ/test-* |
|
|
- config_name: MAR |
|
|
data_files: |
|
|
- split: test |
|
|
path: MAR/test-* |
|
|
- config_name: MSA |
|
|
data_files: |
|
|
- split: test |
|
|
path: MSA/test-* |
|
|
- config_name: SAU |
|
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data_files: |
|
|
- split: test |
|
|
path: SAU/test-* |
|
|
- config_name: UAE |
|
|
data_files: |
|
|
- split: test |
|
|
path: UAE/test-* |
|
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license: apache-2.0 |
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task_categories: |
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- text-to-speech |
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- automatic-speech-recognition |
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language: |
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- ar |
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size_categories: |
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- 10K<n<100K |
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--- |
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# A systematic and standardized benchmark for the multi-dialect Arabic zero-shot TTS task |
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Paper: "Habibi: Laying the Open-Source Foundation of Unified-Dialectal Arabic Speech Synthesis" |
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Github: https://github.com/SWivid/Habibi-TTS |
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> [!NOTE] |
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> Most subsets are licensed under Apache 2.0, except for SAU sourced from the CC-BY-NC-SA-4.0 [SADA](https://www.kaggle.com/datasets/sdaiancai/sada2022). |
