---
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. 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.

Extent:
* `train`: 277 instances
* `test`: 95 instances
## Authors:

* Nikola Ljubešić [https://huggingface.co/nljubesi](https://huggingface.co/nljubesi)
* Peter Rupnik [https://huggingface.co/5roop](https://huggingface.co/5roop)
* Tea Perinčić