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---
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: text
dtype: string
- name: normalized_text
dtype: string
- name: speaker
dtype: string
splits:
- name: test
num_bytes: 7993646
num_examples: 95
- name: train
num_bytes: 68421127
num_examples: 277
download_size: 76394317
dataset_size: 76414773
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
- split: train
path: data/train-*
language:
- hr
pretty_name: Mići Princ
size_categories:
- n<1K
---
# Mići Princ - Chakavian ASR Dataset
Antoine de Saint-Exupéry's _The Little Prince_, translated into Chakavian dialect of Croatian and read by native speakers.
This version is split into chunks of [0, 30] seconds for ASR experiments.
## Dataset composition
Attributes:
* 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.
* text: Text with punctuation, newlines, bullets, and special characters.
* 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.
* speaker: In `train`, this attribute is always an empty string. In `test` it accurately represents the speaker of the chunk.
## Authors:
* Nikola Ljubešić [https://huggingface.co/nljubesi](https://huggingface.co/nljubesi)
* Peter Rupnik [https://huggingface.co/5roop][https://huggingface.co/5roop]
* Tea Perinčić
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