Datasets:

pelcra
/

pl-asr-pelcra-for-bigos

	---
	annotations_creators:
	- expert-generated
	language:
	- pl
	language_creators:
	- expert-generated
	license:
	- cc-by-nc-nd-4.0
	multilinguality:
	- monolingual
	pretty_name: pl-asr-pelcra-for-bigos
	size_categories:
	- 10K<n<100K
	source_datasets:
	- original
	tags:
	- benchmark
	- polish
	- asr
	- speech
	- clarin
	- pelcra
	task_categories:
	- automatic-speech-recognition
	task_ids: []
	extra_gated_prompt: \|-
	This is curated version of Spokes Mix, Spokes Biz and Diabiz Poleval subset corpora. Please get familiar with the specific terms of usage and make sure you understood and agreed to them before use. Below are the links to the license terms and datasets the specific license type applies to:
	* [Creative Commons By Attribution Non Commercial No Derivates](https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en) which applies to [SpokesMix](http://spokes.clarin-pl.eu/) and [SpokesBiz](http://docs.pelcra.pl/doku.php?id=spokesbiz") corpora.
	* Public domain license which applies to [PolEval DiaBiz sample](http://poleval.pl/tasks/task1) corpus.

	extra_gated_fields:
	I hereby confirm that I have read and accepted the license terms of datasets comprising aforementioned corpora: checkbox
	---

	# Dataset Card for PELCRA benchmark corpora

	## Table of Contents
	- [Table of Contents](#table-of-contents)
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage: https://huggingface.co/datasets/pelcra/pl-asr-bigos-pelcra-v2
	- Repository: https://github.com/goodmike31/pl-asr-bigos-tools
	- Paper: https://aclanthology.org/L18-1678.pdf, https://arxiv.org/abs/2312.12364
	- Leaderboard: https://huggingface.co/spaces/michaljunczyk/pl-asr-bigos-benchmark
	- Point of Contact: michal.junczyk@amu.edu.pl, piotr.pezik@uni.lodz.pl

	### Dataset Summary
	This repository contains subsets of the SpokesMix ([SpokesMix](http://docs.pelcra.pl/doku.php?id=spokes_documentation), [SpokesBiz](http://docs.pelcra.pl/doku.php?id=spokesbiz) and [Diabiz](http://docs.pelcra.pl/doku.php?id=diabiz)) corpora
	processed in the format of the [BIGOS](https://huggingface.co/datasets/amu-cai/pl-asr-bigos-v2) (Benchmark Intended Grouping of Open Speech) format.
	The main contribution of these corpora are a) spontaneous and conversional speech and b) phone-based customer interactions.
	The inclusion of the subsets in the [BIGOS](https://huggingface.co/datasets/amu-cai/pl-asr-bigos-v2) corpora, will hopefully result in
	the most comprehensive publicly available evaluation of Polish ASR systems in terms of number of speakers, devices and acoustic conditions.
	Further contributions to the benchmark datasets from the community are highly welcomed.
	<br>

	### Supported Tasks and Leaderboards
	The PELCRA test sets are intented for benchmarking Polish ASR systems under the 2024 PolEval challenge.

	### Languages
	Polish

	## Dataset Structure
	The datasets consist of audio recordings in the WAV format with corresponding metadata.<br>
	The audio and metadata can be used in a raw format (TSV) or via the hugging face datasets library.<br>
	References for the test split will only become available after the completion of the 2024 PolEval challenge.<br>

	### Data Instances


	### Data Fields
	Available fields:
	* `audioname` - file identifier
	* `split` - test, validation or train split
	* `dataset` - source dataset identifier
	* `audio` - HF dataset object with binary representation of audio file
	* `ref_orig` - original transcription of audio file
	* `samplingrate_orig` - sampling rate of the original recording
	* `sampling_rate` - sampling rate of recording in the release
	* `audio_duration_samples` - duration of recordings in samples
	* `audio_duration_seconds` - duration of recordings in seconds
	* `audiopath_bigos` - relative filepath to audio file extracted from tar.gz archive
	* `audiopath_local` - absolute filepath to audio file extracted with the build script
	* `speaker_gender` - gender (sex) of the speaker extracted from the source meta-data (N/A if not available)
	* `speaker_age` - age group of the speaker (in CommonVoice format) extracted from the source (N/A if not available)
	* `utt_length_words` - length of the utterance in words
	* `utt_length_chars` - length of the utterance in characters
	* `speech_rate_words` - ratio of words to recording duration.
	* `speech_rate_chars` - ratio of characters to recording duration.


	<br><br>

	### Data Splits
	Train split contains recordings intendend for training.
	Validation split contains recordings for validation during training procedure.
	Test split contains recordings intended for evaluation only.
	References for test split are not available until the completion of 2024 PolEval challenge.

	\| Subset \| train \| validation \| test \|
	\| --------------------- \| ------ \| ---------- \| ----- \|
	\| ul-diabiz_poleval-22 \| 7 719 \| 284 \| 947 \|
	\| ul-spokes_biz_bio-23 \| 45 488 \| 3 910 \| 5 519 \|
	\| ul-spokes_biz_int-23 \| 726 \| 82 \| 301 \|
	\| ul-spokes_biz_luz-23 \| 32 539 \| 5 528 \| 3 899 \|
	\| ul-spokes_biz_pod-23 \| 19 511 \| 2 260 \| 1 036 \|
	\| ul-spokes_biz_pres-23 \| 14 165 \| 1 780 \| 1 229 \|
	\| ul-spokes_biz_vc-23 \| 36 897 \| 2 819 \| 5 556 \|
	\| ul-spokes_biz_vc2-23 \| 20 187 \| 2 384 \| 3 231 \|
	\| ul-spokes_biz_wyw-23 \| 9 711 \| 1 501 \| 145 \|
	\| ul-spokes_mix_emo-18 \| 20 186 \| 3 147 \| 996 \|
	\| ul-spokes_mix_luz-18 \| 14 840 \| 4 324 \| 1 755 \|
	\| ul-spokes_mix_parl-18 \| 7 181 \| 513 \| 962 \|

	## Dataset Creation

	### Curation Rationale
	The dataset was curated in order to enable convenient use of training, validation and test corpora across all publically available ASR speech datasets for Polish. Thanks to similar format of PELCRA and BIGOS corpora and convenient access via hugging face platform ASR practioners are able to leverage vast amount of diverse set of recordings with reduced overhead.
	Recordings which either lacked transcriptions or were too short to be useful for training or evaluation were removed during curation.

	### Source Data
	Data was sourced from the below original datasets with the original authors' permission:
	* [SpokesMix](http://docs.pelcra.pl/doku.php?id=spoken_offline_corpora) corpus
	* [SpokesBiz](http://docs.pelcra.pl/doku.php?id=spokesbiz") corpus.
	* [PolEval DiaBiz sample](http://docs.pelcra.pl/doku.php?id=diabiz) corpus.

	#### Initial Data Collection and Normalization
	Source text and audio files were extracted and encoded in a unified format.<br>
	Original dataset-specific transcription norms are preserved, including punctuation and casing. <br>

	#### Who are the source language producers?
	The PELCRA SpokesMix, SpokesBiz and DiaBiz datasets were created by:<br>
	Piotr Pęzik, Michał Adamczyk, Małgorzata Krawentek, Paweł Wilk, Sylwia Karasińska, Angelika Peljak-Łapińska, Karolina Adamczyk, Monika Garnys, Karolina Walkusz, Anna Cichosz, Anna Kwiatkowska, Mikołaj Deckert, Paulina Rybińska, Izabela Grabarczyk, Maciej Grabski, Karol Ługowski, Michał Koźmiński, Zuzanna Deckert, Piotr Górniak, Konrad Kaczyński, Łukasz Jałowiecki and others. <br>

	If you use this dataset, please cite the data curator, as well the original authors:
	```
	@misc {pelcra_2024,
	author = { {Piotr Pęzik, Michał Junczyk} },
	title = { pl-asr-pelcra-for-bigos (Revision 4205ec7) },
	year = 2024,
	url = { https://huggingface.co/datasets/pelcra/pl-asr-pelcra-for-bigos },
	doi = { 10.57967/hf/2387 },
	publisher = { Hugging Face }
	}

	@misc{pęzik2023spokesbizopencorpus,
	title={SpokesBiz -- an Open Corpus of Conversational Polish},
	author={Piotr Pęzik and Sylwia Karasińska and Anna Cichosz and Łukasz Jałowiecki and Konrad Kaczyński and Małgorzata Krawentek and Karolina Walkusz and Paweł Wilk and Mariusz Kleć and Krzysztof Szklanny and Szymon Marszałkowski},
	year={2023},
	eprint={2312.12364},
	archivePrefix={arXiv},
	primaryClass={cs.CL},
	url={https://arxiv.org/abs/2312.12364},
	}

	@InProceedings{PĘZIK18.888,
	author = {Piotr Pęzik},
	title = "{Increasing the Accessibility of Time-Aligned Speech Corpora with Spokes Mix}",
	booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
	year = {2018},
	month = {May 7-12, 2018},
	address = {Miyazaki, Japan},
	editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
	publisher = {European Language Resources Association (ELRA)},
	isbn = {979-10-95546-00-9},
	language = {english}
	}

	@inproceedings{Pezik2022,
	abstract = {This paper introduces DiaBiz, a large, annotated, multimodal corpus of Polish telephone conversations conducted in varied business settings, comprising 4036 call centre interactions from nine different domains, i.e. banking, energy services, telecommunications, insurance, medical care, debt collection, tourism, retail and car rental. The corpus was developed to boost the development of third-party speech recognition engines, dialog systems and conversational intelligence tools for Polish. Its current size amounts to nearly 410 hours of recordings and over 3 million words of transcribed speech. We present the structure of the corpus, data collection and transcription procedures, challenges of punctuating and truecasing speech transcripts, dialog structure annotation and discuss some of the ecological validity considerations involved in the development of such resources.},
	author = {Piotr Pezik and Gosia Krawentek and Sylwia Karasińska and Paweł Wilk and Paulina Rybińska and Anna Cichosz and Angelika Peljak-Łapińska and Mikołaj Deckert and Michał Adamczyk},
	city = {Marseille, France},
	editor = {Nicoletta Calzolari and Frédéric Béchet and Philippe Blache and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Jan Odijk and Stelios Piperidis},
	booktitle = {Proceedings of the Thirteenth Language Resources and Evaluation Conference},
	month = {6},
	pages = {723-726},
	publisher = {European Language Resources Association},
	title = {DiaBiz – an Annotated Corpus of Polish Call Center Dialogs},
	url = {https://aclanthology.org/2022.lrec-1.76},
	year = {2022},
	}
	```

	The curation and inclusion of subsets of these corpora into the BIGOS format was done by Michał Junczyk from Adam Mickiewicz University.

	### Annotations

	#### Annotation process
	Current release contains original, manually performed transcriptions.

	#### Who are the annotators?
	Participants of the original projects.

	### Personal and Sensitive Information
	This corpus does not contain PII or Sensitive Information.
	All IDs of speakers are anonymized.

	## Considerations for Using the Data

	### Social Impact of Dataset
	To be updated.
	### Discussion of Biases
	To be updated.

	### Other Known Limitations
	Some metadata avaiable in the original releases is not available in the initial HF release e.g. speaker age, gender etc.

	## Additional Information

	### Dataset Curators
	Original authors of the source datasets: Piotr Pęzik (piotr.pezik@uni.lodz.pl) et al. please refer to [source-data](#source-data) for details.
	Michał Junczyk (michal.junczyk@amu.edu.pl) - curator of PELCRA corpora in the BIGOS format.

	### Licensing Information
	The BIGOS benchmark is available under [Creative Commons By Attribution Non Commercial No Derivates](https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en)


	### Citation Information
	Please cite all papers enlisted on the original authors pages.<br>
	* [SpokesMix](https://aclanthology.org/L18-1678) corpus
	* [SpokesBiz](http://docs.pelcra.pl/doku.php?id=spokesbiz") corpus.
	* [PolEval DiaBiz sample](https://aclanthology.org/2022.lrec-1.76/) corpus.


	### Contributions
	Thanks to [@goodmike31](https://github.com/goodmike31) for adding this dataset.