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README.md
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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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data_files:
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path: data/test-*
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path: data/train-*
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---
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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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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.
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This version is split into chunks of [0, 30] seconds for ASR experiments.
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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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## 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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