dataset_info:
features:
- name: id
dtype: string
- name: words
list:
- name: char_e
dtype: int64
- name: char_s
dtype: int64
- name: time_e
dtype: float64
- name: time_s
dtype: float64
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: audio_length
dtype: float64
- name: text
dtype: string
- name: text_start
dtype: int64
- name: text_end
dtype: int64
- name: audio_start
dtype: float64
- name: audio_end
dtype: float64
splits:
- name: train
num_bytes: 215400871056.775
num_examples: 867581
download_size: 179012100678
dataset_size: 215400871056.775
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
The Croatian Parliamentary Spoken Dataset ParlaSpeech-HR 2.0
http://hdl.handle.net/11356/1914
The ParlaSpeech-HR dataset is built from the transcripts of parliamentary proceedings available in the Croatian part of the ParlaMint corpus, and the parliamentary recordings available from the Croatian Parliament's YouTube channel.
The corpus consists of audio segments that correspond to specific sentences in the transcripts. The transcript contains word-level alignments to the recordings, each instance consisting of character and millisecond start and end offsets, allowing for simple further segmentation of long sentences into shorter segments for ASR and other memory-sensitive applications. There is also an audio length attribute, allowing for simple discarding of too long segments (80% of the content is below 30 seconds).
Each segment has an identifier reference to the ParlaMint 4.0 corpus (http://hdl.handle.net/11356/1859) via the utterance ID and character offsets.
While in the original dataset all the speaker information from the ParlaMint corpus is available via the speaker_info attribute, in the HuggingFace version only a subset of metadata is available, namely: the date, the name of the speaker, their gender, year of birth, party affiliation at that point in time, status of the party at that point in time (coalition or opposition), and party orientation (left, right, centre etc.).
Different to the original dataset, this version has also a text_normalised attribute, which contains the text with parliamentary comments ([[Applause]] and similar) removed.
If you use the dataset, please cite the following paper:
@inproceedings{ljubesic-etal-2022-parlaspeech,
title = "{P}arla{S}peech-{HR} - a Freely Available {ASR} Dataset for {C}roatian Bootstrapped from the {P}arla{M}int Corpus",
author = "Ljube{\v{s}}i{\'c}, Nikola and
Kor{\v{z}}inek, Danijel and
Rupnik, Peter and
Jazbec, Ivo-Pavao",
editor = "Fi{\v{s}}er, Darja and
Eskevich, Maria and
Lenardi{\v{c}}, Jakob and
de Jong, Franciska",
booktitle = "Proceedings of the Workshop ParlaCLARIN III within the 13th Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.parlaclarin-1.16",
pages = "111--116",
}