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---
dataset_info:
features:
- name: id
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: text
dtype: string
- name: text_normalised
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_length
dtype: float64
- name: date
dtype: string
- name: speaker_name
dtype: string
- name: speaker_gender
dtype: string
- name: speaker_birth
dtype: string
- name: speaker_party
dtype: string
- name: party_orientation
dtype: string
- name: party_status
dtype: string
splits:
- name: train
num_bytes: 61274022869.885
num_examples: 530773
download_size: 60791222740
dataset_size: 61274022869.885
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# The Polish Parliamentary Spoken Dataset ParlaSpeech-PL 1.0
http://hdl.handle.net/11356/1686
The ParlaSpeech-PL dataset is built from the transcripts of parliamentary proceedings available in the Polish part of the ParlaMint corpus, and the parliamentary recordings available from the Polish 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 (most segments are below 30 seconds).
Each segment has an identifier reference to the ParlaMint 4.0 corpus (http://hdl.handle.net/11356/1859) via utterance IDs and character offsets.
While in the original dataset all the speaker information from the ParlaMint corpus is available via the "speaker_info" key, in the HuggingFace version of the dataset 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 are given.
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",
}
```
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