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--- |
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dataset_info: |
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features: |
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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: text |
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dtype: string |
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- name: normalized_text |
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dtype: string |
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- name: speaker |
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dtype: string |
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splits: |
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- name: test |
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num_bytes: 7993646 |
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num_examples: 95 |
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- name: train |
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num_bytes: 68421127 |
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num_examples: 277 |
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download_size: 76394317 |
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dataset_size: 76414773 |
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configs: |
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- config_name: default |
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data_files: |
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- split: test |
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path: data/test-* |
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- split: train |
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path: data/train-* |
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language: |
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- hr |
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pretty_name: Mići Princ |
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size_categories: |
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- n<1K |
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--- |
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# Mići Princ - Chakavian ASR Dataset |
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Antoine de Saint-Exupéry's _The Little Prince_, translated into Chakavian dialect of Croatian and read by native speakers. Full dataset (with all metadata and structure) is published at http://hdl.handle.net/11356/1765. |
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## Dataset composition |
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Attributes: |
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* audio: audio chunk. In `train`, the audio can include multiple speakers and has a duration in [0, 30] seconds for easier ASR training. In `test`, only one speaker is present in an instance. |
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* text: Text with punctuation, newlines, bullets, and special characters. |
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* normalized_text: Text with some punctuation removed and special characters remapped for easier training. Characters, not present in standard Croatian (ȅ,é,ȋ,ȉ,ȃ,ȁ), are substituted with non-special characters (e,i,a). Bullets, newlines, and quotation marks are removed. |
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* speaker: In `train`, this attribute is always an empty string. In `test` it accurately represents the speaker of the chunk. |
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Extent: |
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* `train`: 277 instances |
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* `test`: 95 instances |
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## Authors: |
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* Nikola Ljubešić [https://huggingface.co/nljubesi](https://huggingface.co/nljubesi) |
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* Peter Rupnik [https://huggingface.co/5roop](https://huggingface.co/5roop) |
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* Tea Perinčić |
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