metadata
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.
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. Intest
, 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. Intest
it accurately represents the speaker of the chunk.
Extent:
train
: 277 instancestest
: 95 instances
Authors:
- Nikola Ljubešić https://huggingface.co/nljubesi
- Peter Rupnik [https://huggingface.co/5roop][https://huggingface.co/5roop]
- Tea Perinčić