Hugging Face's logo

Datasets:
michaljunczyk
/
pl-asr-bigos

Tasks:
Automatic Speech Recognition
Languages:
Polish
Size:
1K<n<10K
Tags:
benchmark
polish
asr
speech
DOI:
License:
Dataset card Files Community
pl-asr-bigos / README.md
mj-new
Updated README
2ac5bf4
preview code
|
raw
history blame contribute delete
11.6 kB
metadata
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:
  - 1K<n<10K
source_datasets:
  - original
  - extended|librispeech_asr
  - extended|common_voice
tags:
  - benchmark
  - polish
  - asr
  - speech
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

Dataset Description

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.
The initial release consist of test split with 1900 recordings and original transcriptions extracted from 10 publicly available datasets.

Supported Tasks and Leaderboards

The leaderboard with benchmark of publicly available ASR systems supporting Polish is under construction.
Evaluation results of 3 commercial and 5 freely available can be found in the paper.

Languages

Polish

Dataset Structure

Dataset consists audio recordings in WAV format and corresponding metadata.
Audio and metadata can be used in raw format (TSV) or via hugging face datasets library.

Data Instances

1900 audio files with original transcriptions are available in "test" split.
This consitutes 1.6% of the total available transcribed speech in 10 source datasets considered in the initial release.

Data Fields

Available fields:

  • file_id - file identifier
  • dataset_id - source dataset identifier
  • audio - binary representation of audio file
  • ref_original - original transcription of audio file
  • hyp_whisper_cloud - ASR hypothesis (output) from Whisper Cloud system
  • hyp_google_default - ASR hypothesis (output) from Google ASR system, default model
  • hyp_azure_default - ASR hypothesis (output) from Azure ASR system, default model
  • hyp_whisper_tiny - ASR hypothesis (output) from Whisper tiny model
  • hyp_whisper_base - ASR hypothesis (output) from Whisper base model
  • hyp_whisper_small - ASR hypothesis (output) from Whisper small model
  • hyp_whisper_medium - ASR hypothesis (output) from Whisper medium model
  • hyp_whisper_large - ASR hypothesis (output) from Whisper large (V2) model

Fields to be added in the next release:

  • ref_spoken - manual transcription in a spoken format (without normalization)
  • ref_written - manual transcription in a written format (with normalization)

Data Splits

Initial release contains only "test" split.
"Dev" and "train" splits will be added in the next release.

Dataset Creation

Curation Rationale

Polish ASR Speech Data Catalog was used to identify suitable datasets which can be repurposed and included in the BIGOS corpora.
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.

Source Data

10 datasets that meet the criteria were chosen as sources for the BIGOS dataset.

  • The Common Voice dataset (mozilla-common-voice-19)
  • The Multilingual LibriSpeech (MLS) dataset (fair-mls-20)
  • The Clarin Studio Corpus (clarin-pjatk-studio-15)
  • The Clarin Mobile Corpus (clarin-pjatk-mobile-15)
  • The Jerzy Sas PWR datasets from Politechnika Wrocławska (pwr-viu-unk, pwr-shortwords-unk, pwr-maleset-unk). More info here
  • The Munich-AI Labs Speech corpus (mailabs-19)
  • The AZON Read and Spontaneous Speech Corpora (pwr-azon-spont-20, pwr-azon-read-20) More info here

Initial Data Collection and Normalization

Source text and audio files were extracted and encoded in a unified format.
Dataset-specific transcription norms are preserved, including punctuation and casing.
To strike a balance in the evaluation dataset and to facilitate the comparison of Word Error Rate (WER) scores across multiple datasets, 200 samples are randomly selected from each corpus.
The only exception is ’pwr-azon-spont-20’, which contains significantly longer recordings and utterances, therefore only 100 samples are selected.

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

Please refer to the paper for more details.

Annotations

Annotation process

Current release contains original transcriptions. Manual transcriptions 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 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.

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:

Citation Information

Please cite BIGOS V1 paper.

Contributions

Thanks to @goodmike31 for adding this dataset.