Datasets:

Modalities:
Audio
Languages:
Polish
ArXiv:
DOI:
License:
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---
annotations_creators:
- crowdsourced
- expert-generated
- other
- machine-generated
language:
- pl
language_creators:
- crowdsourced
- expert-generated
- other
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: pl-asr-bigos
size_categories:
- 10K<n<100K
source_datasets:
- original
- extended|multilingual_librispeech
- extended|common_voice
- extended|minds14
- extended|fleurs
tags:
- benchmark
- polish
- asr
- speech
- dataset
- audio
task_categories:
- automatic-speech-recognition
task_ids: []
extra_gated_prompt: |-
Original datasets used for curation of BIGOS have specific terms of usage that must be understood and agreed to before use. Below are the links to the license terms and datasets the specific license type applies to:
* [Creative Commons 0](https://creativecommons.org/share-your-work/public-domain/cc0) which applies to [Common Voice](https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0)
* [Creative Commons By Attribution Share Alike 4.0](https://creativecommons.org/licenses/by-sa/4.0/), which applies to [Clarin Cyfry](https://clarin-pl.eu/dspace/handle/11321/317), [Azon acoustic speech resources corpus](https://zasobynauki.pl/zasoby/korpus-nagran-probek-mowy-do-celow-budowy-modeli-akustycznych-dla-automatycznego-rozpoznawania-mowy,53293/).
* [Creative Commons By Attribution 3.0](https://creativecommons.org/licenses/by/3.0/), which applies to [CLARIN Mobile database](https://clarin-pl.eu/dspace/handle/11321/237), [CLARIN Studio database](https://clarin-pl.eu/dspace/handle/11321/236), [PELCRA Spelling and Numbers Voice Database](http://pelcra.pl/new/snuv) and [FLEURS dataset](https://huggingface.co/datasets/google/fleurs)
* [Creative Commons By Attribution 4.0](https://creativecommons.org/licenses/by/4.0/), which applies to [Multilingual Librispeech](https://huggingface.co/datasets/facebook/multilingual_librispeech) and [Poly AI Minds 14](https://huggingface.co/datasets/PolyAI/minds14)
* [Proprietiary License of Munich AI Labs dataset](https://www.caito.de/2019/01/03/the-m-ailabs-speech-dataset)
* Public domain mark, which applies to [PWR datasets](https://www.ii.pwr.edu.pl/~sas/ASR/)
To use selected dataset, you also need to fill in the access forms on the specific datasets pages:
* Common Voice: https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0
extra_gated_fields:
I hereby confirm that I have read and accepted the license terms of datasets comprising BIGOS corpora: checkbox
I hereby confirm that I have registered on the original Common Voice page and agree to not attempt to determine the identity of speakers in the Common Voice dataset: checkbox
---
# Dataset Card for Polish ASR BIGOS 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/amu-cai/pl-asr-bigos-v2
- **Repository:** https://github.com/goodmike31/pl-asr-bigos-tools
- **Paper:** https://annals-csis.org/proceedings/2023/drp/1609.html
- **Leaderboard:** https://huggingface.co/spaces/michaljunczyk/pl-asr-bigos-benchmark
- **Point of Contact:** [email protected]
### Dataset Summary
The BIGOS (Benchmark Intended Grouping of Open Speech) corpora aims at simplifying the access and use of publicly available ASR speech datasets for Polish.<br>
### Supported Tasks and Leaderboards
* Open Polish ASR challenge [PolEval](http://poleval.pl/) using BIGOS V2 and [PELCRA for BIGOS](https://huggingface.co/datasets/pelcra/pl-asr-pelcra-for-bigos) datasets
* Evaluation of 3 commercial and 5 freely available on [BIGOS V1](https://huggingface.co/datasets/michaljunczyk/pl-asr-bigos) [(paper)](https://annals-csis.org/proceedings/2023/drp/1609.html).
Continous benchmark and leaderboard of PL ASR systems using BIGOS corpora is planned for 2024.<br>
### 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
The train set consists of 82 025 samples.
The dev set consists of 14 254 samples
The test set consists of 14 993 samples.
### Data Fields
Available fields:
* `audioname` - file identifier
* `split` - test, validation or train split
* `dataset` - source dataset identifier
* `ref_orig` - original transcription of audio file
* `audio` - HF dataset object with binary representation 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 |
| -------------------------- | ------ | ---------- | ----- |
| fair-mls-20 | 25 042 | 511 | 519 |
| google-fleurs-22 | 2 841 | 338 | 758 |
| mailabs-corpus_librivox-19 | 11 834 | 1 527 | 1 501 |
| mozilla-common_voice_15-23 | 19 119 | 8 895 | 8 896 |
| pjatk-clarin_studio-15 | 10 999 | 1 407 | 1 404 |
| pjatk-clarin_mobile-15 | 2 861 | 242 | 392 |
| polyai-minds14-21 | 462 | 47 | 53 |
| pwr-maleset-unk | 3 783 | 478 | 477 |
| pwr-shortwords-unk | 761 | 86 | 92 |
| pwr-viu-unk | 2 146 | 290 | 267 |
| pwr-azon_read-20 | 1 820 | 382 | 586 |
| pwr-azon_spont-20 | 357 | 51 | 48 |
## Dataset Creation
### Curation Rationale
[Polish ASR Speech Data Catalog](https://github.com/goodmike31/pl-asr-speech-data-survey) was used to identify suitable datasets which can be repurposed and included in the BIGOS corpora.<br>
The following mandatory criteria were considered:
* Dataset must be downloadable.
* The license must allow for free, noncommercial use.
* Transcriptions must be available and align with the recordings.
* The sampling rate of audio recordings must be at least 8 kHz.
* Audio encoding using a minimum of 16 bits per sample.
Recordings which either lacked transcriptions or were too short to be useful for training or evaluation were removed during curation.
### Source Data
12 datasets that meet the criteria were chosen as sources for the BIGOS dataset.
* The Common Voice dataset version 15 (mozilla-common_voice_15-23)
* The Multilingual LibriSpeech (MLS) dataset (fair-mls-20)
* The Clarin Studio Corpus (pjatk-clarin_studio-15)
* The Clarin Mobile Corpus (pjatk-clarin_mobile-15)
* The Jerzy Sas PWR datasets from Politechnika Wrocławska (pwr-viu-unk, pwr-shortwords-unk, pwr-maleset-unk). More info [here](https://www.ii.pwr.edu.pl/)
* The Munich-AI Labs Speech corpus (mailabs-corpus-librivox-19)
* The AZON Read and Spontaneous Speech Corpora (pwr-azon_spont-20, pwr-azon_read-20) More info [here](https://zasobynauki.pl/zasoby/korpus-nagran-probek-mowy-do-celow-budowy-modeli-akustycznych-dla-automatycznego-rozpoznawania-mowy)
* The Google FLEURS dataset (google-fleurs-22)
* The PolyAI minds14 dataset (polyai-minds14-21)
<br>
#### Initial Data Collection and Normalization
Source text and audio files were extracted and encoded in a unified format.<br>
Dataset-specific transcription norms are preserved, including punctuation and casing. <br>
In case of original dataset does not have test, dev, train splits provided, the splits were generated pseudorandomly during curation. <br>
<br>
#### Who are the source language producers?
1. Clarin corpora - Polish Japanese Academy of Technology
2. Common Voice - Mozilla foundation
3. Multlingual librispeech - Facebook AI research lab
4. Jerzy Sas and AZON datasets - Politechnika Wrocławska
5. Google - FLEURS
6. PolyAI London - Minds14
Please refer to the [BIGOS V1 paper](https://annals-csis.org/proceedings/2023/drp/1609.html) for more details.
### Annotations
#### Annotation process
Current release contains original transcriptions.
Manual transcriptions of subsets and release of diagnostic dataset are planned for subsequent releases.
#### Who are the annotators?
Depends on the source dataset.
### Personal and Sensitive Information
This corpus does not contain PII or Sensitive Information.
All IDs pf speakers are anonymized.
## Considerations for Using the Data
### Social Impact of Dataset
To be updated.
### Discussion of Biases
To be updated.
### Other Known Limitations
The dataset in the initial release contains only a subset of recordings from original datasets.
## Additional Information
### Dataset Curators
Original authors of the source datasets - please refer to [source-data](#source-data) for details.
Michał Junczyk ([email protected]) - curator of BIGOS corpora.
### Licensing Information
The BIGOS corpora is available under [Creative Commons By Attribution Share Alike 4.0 license.](https://creativecommons.org/licenses/by-sa/4.0/)
Original datasets used for curation of BIGOS have specific terms of usage that must be understood and agreed to before use. Below are the links to the license terms and datasets the specific license type applies to:
* [Creative Commons 0](https://creativecommons.org/share-your-work/public-domain/cc0) which applies to [Common Voice](https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0)
* [Creative Commons By Attribution Share Alike 4.0](https://creativecommons.org/licenses/by-sa/4.0/), which applies to [Clarin Cyfry](https://clarin-pl.eu/dspace/handle/11321/317), [Azon acoustic speech resources corpus](https://zasobynauki.pl/zasoby/korpus-nagran-probek-mowy-do-celow-budowy-modeli-akustycznych-dla-automatycznego-rozpoznawania-mowy,53293/).
* [Creative Commons By Attribution 3.0](https://creativecommons.org/licenses/by/3.0/), which applies to [CLARIN Mobile database](https://clarin-pl.eu/dspace/handle/11321/237), [CLARIN Studio database](https://clarin-pl.eu/dspace/handle/11321/236), [PELCRA Spelling and Numbers Voice Database](http://pelcra.pl/new/snuv) and [FLEURS dataset](https://huggingface.co/datasets/google/fleurs)
* [Creative Commons By Attribution 4.0](https://creativecommons.org/licenses/by/4.0/), which applies to [Multilingual Librispeech](https://huggingface.co/datasets/facebook/multilingual_librispeech) and [Poly AI Minds 14](https://huggingface.co/datasets/PolyAI/minds14)
* [Proprietiary License of Munich AI Labs dataset](https://www.caito.de/2019/01/03/the-m-ailabs-speech-dataset)
* Public domain mark, which applies to [PWR datasets](https://www.ii.pwr.edu.pl/~sas/ASR/)
### Citation Information
Please cite using [Bibtex](https://dblp.org/rec/conf/fedcsis/Junczyk23.html?view=bibtex)
### Contributions
Thanks to [@goodmike31](https://github.com/goodmike31) for adding this dataset.