Update files from the datasets library (from 1.6.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.6.0

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README.md

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+---
+annotations_creators:
+- found
+language_creators:
+- found
+languages:
+  SLR35:
+  - jv
+  SLR36:
+  - su
+  SLR41:
+  - jv
+  SLR42:
+  - km
+  SLR43:
+  - ne
+  SLR44:
+  - su
+  SLR63:
+  - ml
+  SLR64:
+  - mr
+  SLR65:
+  - ta
+  SLR66:
+  - te
+  SLR69:
+  - ca
+  SLR70:
+  - ng
+  SLR71:
+  - cl
+  SLR72:
+  - co
+  SLR73:
+  - pe
+  SLR74:
+  - pr
+  SLR75:
+  - ve
+  SLR76:
+  - eu
+  SLR77:
+  - gl
+  SLR78:
+  - gu
+  SLR79:
+  - kn
+  SLR80:
+  - my
+  SLR86:
+  - yo
+licenses:
+- cc-by-sa-4-0
+multilinguality:
+- multilingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- other
+task_ids:
+- other-other-automatic-speech-recognition
+---
+
+# Dataset Card for openslr
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [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://www.openslr.org/
+- **Repository:** [Needs More Information]
+- **Paper:** [Needs More Information]
+- **Leaderboard:** [Needs More Information]
+- **Point of Contact:** [Needs More Information]
+
+### Dataset Summary
+
+OpenSLR is a site devoted to hosting speech and language resources, such as training corpora for speech recognition, 
+and software related to speech recognition. Currently, following resources are available: 
+
+#### SLR35: Large Javanese ASR training data set.
+This data set contains transcribed audio data for Javanese (~185K utterances). The data set consists of wave files,
+and a TSV file. The file utt_spk_text.tsv contains a FileID, UserID and the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+This dataset was collected by Google in collaboration with Reykjavik University and Universitas Gadjah Mada 
+in Indonesia.
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/35/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2016, 2017 Google, Inc.
+
+#### SLR36: Large Sundanese ASR training data set.
+This data set contains transcribed audio data for Sundanese (~220K utterances). The data set consists of wave files,
+and a TSV file. The file utt_spk_text.tsv contains a FileID, UserID and the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+This dataset was collected by Google in Indonesia.
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/36/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2016, 2017 Google, Inc.
+
+#### SLR41: High quality TTS data for Javanese.
+This data set contains high-quality transcribed audio data for Javanese. The data set consists of wave files, 
+and a TSV file. The file line_index.tsv contains a filename and the transcription of audio in the file. Each 
+filename is prepended with a speaker identification number.
+
+The data set has been manually quality checked, but there might still be errors.
+
+This dataset was collected by Google in collaboration with Gadjah Mada University in Indonesia.
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/41/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2016, 2017, 2018 Google LLC
+
+#### SLR42: High quality TTS data for Khmer.
+This data set contains high-quality transcribed audio data for Khmer. The data set consists of wave files, 
+and a TSV file. The file line_index.tsv contains a filename and the transcription of audio in the file. 
+Each filename is prepended with a speaker identification number.
+
+The data set has been manually quality checked, but there might still be errors.
+
+This dataset was collected by Google.
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/42/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2016, 2017, 2018 Google LLC
+
+#### SLR43: High quality TTS data for Nepali.
+This data set contains high-quality transcribed audio data for Nepali. The data set consists of wave files, 
+and a TSV file. The file line_index.tsv contains a filename and the transcription of audio in the file. 
+Each filename is prepended with a speaker identification number.
+
+The data set has been manually quality checked, but there might still be errors.
+
+This dataset was collected by Google in Nepal.
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/43/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2016, 2017, 2018 Google LLC
+
+#### SLR44: High quality TTS data for Sundanese.
+This data set contains high-quality transcribed audio data for Sundanese. The data set consists of wave files, 
+and a TSV file. The file line_index.tsv contains a filename and the transcription of audio in the file. 
+Each filename is prepended with a speaker identification number.
+
+The data set has been manually quality checked, but there might still be errors.
+
+This dataset was collected by Google in collaboration with Universitas Pendidikan Indonesia.
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/44/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2016, 2017, 2018 Google LLC
+
+#### SLR63: Crowdsourced high-quality Malayalam multi-speaker speech data set
+This data set contains transcribed high-quality audio of Malayalam sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/63/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+
+#### SLR64: Crowdsourced high-quality Marathi multi-speaker speech data set
+This data set contains transcribed high-quality audio of Marathi sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/64/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+#### SLR65: Crowdsourced high-quality Tamil multi-speaker speech data set
+This data set contains transcribed high-quality audio of Tamil sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/65/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+
+#### SLR66: Crowdsourced high-quality Telugu multi-speaker speech data set
+This data set contains transcribed high-quality audio of Telugu sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/66/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+
+#### SLR69: Crowdsourced high-quality Catalan multi-speaker speech data set
+This data set contains transcribed high-quality audio of Catalan sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/69/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+
+#### SLR70: Crowdsourced high-quality Nigerian English speech data set
+This data set contains transcribed high-quality audio of Nigerian English sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/70/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+
+#### SLR71: Crowdsourced high-quality Chilean Spanish speech data set
+This data set contains transcribed high-quality audio of Chilean Spanish sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/71/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+
+#### SLR72: Crowdsourced high-quality Columbian Spanish speech data set
+This data set contains transcribed high-quality audio of Columbian Spanish sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/72/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+
+#### SLR73: Crowdsourced high-quality Peruvian Spanish speech data set
+This data set contains transcribed high-quality audio of Peruvian Spanish sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/73/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+
+#### SLR74: Crowdsourced high-quality Puerto Rico Spanish speech data set
+This data set contains transcribed high-quality audio of Puerto Rico Spanish sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/74/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+
+#### SLR75: Crowdsourced high-quality Venezuelan Spanish speech data set
+This data set contains transcribed high-quality audio of Venezuelan Spanish sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/75/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+
+#### SLR76: Crowdsourced high-quality Basque speech data set
+This data set contains transcribed high-quality audio of Basque sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/76/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+
+#### SLR77: Crowdsourced high-quality Galician speech data set
+This data set contains transcribed high-quality audio of Galician sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/77/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+
+#### SLR78: Crowdsourced high-quality Gujarati multi-speaker speech data set
+This data set contains transcribed high-quality audio of Gujarati sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/78/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+
+#### SLR79: Crowdsourced high-quality Kannada multi-speaker speech data set
+This data set contains transcribed high-quality audio of Kannada sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/79/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+
+#### SLR80: Crowdsourced high-quality Burmese speech data set
+This data set contains transcribed high-quality audio of Burmese sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/80/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019 Google, Inc.
+
+#### SLR86: Crowdsourced high-quality  multi-speaker speech data set
+This data set contains transcribed high-quality audio of  sentences recorded by volunteers. The data set 
+consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and 
+the transcription of audio in the file.
+
+The data set has been manually quality checked, but there might still be errors.
+
+Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues
+
+The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
+See [LICENSE](https://www.openslr.org/resources/86/LICENSE) file and 
+https://github.com/google/language-resources#license for license information.
+
+Copyright 2018, 2019, 2020 Google, Inc.
+
+### Supported Tasks and Leaderboards
+
+[Needs More Information]
+
+### Languages
+
+Javanese, Khmer, Nepali, Sundanese, Malayalam, Marathi, Tamil, Telugu, Catalan
+
+## Dataset Structure
+
+### Data Instances
+
+A typical data point comprises the path to the audio file, called path and its sentence. 
+
+#### SLR35, SLR36, SLR41, SLR42, SLR43, SLR44, SLR63, SLR64, SLR65, SLR66, SLR69, SLR70, SLR71, SLR72, SLR73, SLR74, SLR75, SLR76, SLR77, SLR78, SLR79, SLR80, SLR86
+```
+{
+  'path': '/home/cahya/.cache/huggingface/datasets/downloads/extracted/4d9cf915efc21110199074da4d492566dee6097068b07a680f670fcec9176e62/su_id_female/wavs/suf_00297_00037352660.wav'
+  'sentence': 'Panonton ting haruleng ningali Kelly Clarkson keur nyanyi di tipi',
+}
+```
+
+### Data Fields
+
+path: The path to the audio file
+
+sentence: The sentence the user was prompted to speak
+
+### Data Splits
+
+The speech material has only train dataset.
+
+## Dataset Creation
+
+### Curation Rationale
+
+[Needs More Information]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[Needs More Information]
+
+#### Who are the source language producers?
+
+[Needs More Information]
+
+### Annotations
+
+#### Annotation process
+
+[Needs More Information]
+
+#### Who are the annotators?
+
+[Needs More Information]
+
+### Personal and Sensitive Information
+
+[Needs More Information]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[Needs More Information]
+
+### Discussion of Biases
+
+[More Information Needed] 
+
+### Other Known Limitations
+
+[More Information Needed] 
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed] 
+
+### Licensing Information
+
+[More Information Needed] 
+
+### Citation Information
+
+#### SLR35, SLR36
+```
+@inproceedings{kjartansson-etal-sltu2018,
+    title = {{Crowd-Sourced Speech Corpora for Javanese, Sundanese,  Sinhala, Nepali, and Bangladeshi Bengali}},
+    author = {Oddur Kjartansson and Supheakmungkol Sarin and Knot Pipatsrisawat and Martin Jansche and Linne Ha},
+    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},
+    year  = {2018},
+    address = {Gurugram, India},
+    month = aug,
+    pages = {52--55},
+    URL   = {https://dx.doi.org/10.21437/SLTU.2018-11},
+}
+```
+
+#### SLR41, SLR42, SLR43, SLR44 
+```
+@inproceedings{kjartansson-etal-tts-sltu2018,
+    title = {{A Step-by-Step Process for Building TTS Voices Using Open Source Data and Framework for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese}},
+    author = {Keshan Sodimana and Knot Pipatsrisawat and Linne Ha and Martin Jansche and Oddur Kjartansson and Pasindu De Silva and Supheakmungkol Sarin},
+    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},
+    year  = {2018},
+    address = {Gurugram, India},
+    month = aug,
+    pages = {66--70},
+    URL   = {https://dx.doi.org/10.21437/SLTU.2018-14}
+}
+```
+
+#### SLR63, SLR64, SLR65, SLR66, SLR78, SLR79
+```
+@inproceedings{he-etal-2020-open,
+  title = {{Open-source Multi-speaker Speech Corpora for Building Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu Speech Synthesis Systems}},
+  author = {He, Fei and Chu, Shan-Hui Cathy and Kjartansson, Oddur and Rivera, Clara and Katanova, Anna and Gutkin, Alexander and Demirsahin, Isin and Johny, Cibu and Jansche, Martin and Sarin, Supheakmungkol and Pipatsrisawat, Knot},
+  booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},
+  month = may,
+  year = {2020},
+  address = {Marseille, France},
+  publisher = {European Language Resources Association (ELRA)},
+  pages = {6494--6503},
+  url = {https://www.aclweb.org/anthology/2020.lrec-1.800},
+  ISBN = "{979-10-95546-34-4},
+}
+```
+
+#### SLR69, SLR76, SLR77
+```
+@inproceedings{kjartansson-etal-2020-open,
+    title = {{Open-Source High Quality Speech Datasets for Basque, Catalan and Galician}},
+    author = {Kjartansson, Oddur and Gutkin, Alexander and Butryna, Alena and Demirsahin, Isin and Rivera, Clara},
+    booktitle = {Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)},
+    year = {2020},
+    pages = {21--27},
+    month = may,
+    address = {Marseille, France},
+    publisher = {European Language Resources association (ELRA)},
+    url = {https://www.aclweb.org/anthology/2020.sltu-1.3},
+    ISBN = {979-10-95546-35-1},
+}
+```
+
+#### SLR71, SLR71, SLR72, SLR73, SLR74, SLR75
+```
+@inproceedings{guevara-rukoz-etal-2020-crowdsourcing,
+    title = {{Crowdsourcing Latin American Spanish for Low-Resource Text-to-Speech}},
+    author = {Guevara-Rukoz, Adriana and Demirsahin, Isin and He, Fei and Chu, Shan-Hui Cathy and Sarin, Supheakmungkol and Pipatsrisawat, Knot and Gutkin, Alexander and Butryna, Alena and Kjartansson, Oddur},
+    booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},
+    year = {2020},
+    month = may,
+    address = {Marseille, France},
+    publisher = {European Language Resources Association (ELRA)},
+    url = {https://www.aclweb.org/anthology/2020.lrec-1.801},
+    pages = {6504--6513},
+    ISBN = {979-10-95546-34-4},
+}
+```
+
+#### SLR80
+```
+@inproceedings{oo-etal-2020-burmese,
+    title = {{Burmese Speech Corpus, Finite-State Text Normalization and Pronunciation Grammars with an Application to Text-to-Speech}},
+    author = {Oo, Yin May and Wattanavekin, Theeraphol and Li, Chenfang and De Silva, Pasindu and Sarin, Supheakmungkol and Pipatsrisawat, Knot and Jansche, Martin and Kjartansson, Oddur and Gutkin, Alexander},
+    booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},
+    month = may,
+    year = {2020},
+    pages = "6328--6339",
+    address = {Marseille, France},
+    publisher = {European Language Resources Association (ELRA)},
+    url = {https://www.aclweb.org/anthology/2020.lrec-1.777},
+    ISBN = {979-10-95546-34-4},
+}
+```
+
+#### SLR86
+```
+@inproceedings{gutkin-et-al-yoruba2020,
+    title = {{Developing an Open-Source Corpus of Yoruba Speech}},
+    author = {Alexander Gutkin and I{\c{s}}{\i}n Demir{\c{s}}ahin and Oddur Kjartansson and Clara Rivera and K\d{\'o}lá Túb\d{\`o}sún},
+    booktitle = {Proceedings of Interspeech 2020},
+    pages = {404--408},
+    month = {October},
+    year = {2020},
+    address = {Shanghai, China},
+    publisher = {International Speech and Communication Association (ISCA)},
+    doi = {10.21437/Interspeech.2020-1096},
+    url = {https://dx.doi.org/10.21437/Interspeech.2020-1096},
+}
+```
+### Contributions
+
+Thanks to [@cahya-wirawan](https://github.com/cahya-wirawan) for adding this dataset.

dataset_infos.json

@@ -0,0 +1 @@
+{"SLR41": {"description": "OpenSLR is a site devoted to hosting speech and language resources, such as training corpora for speech recognition,\nand software related to speech recognition. We intend to be a convenient place for anyone to put resources that\nthey have created, so that they can be downloaded publicly.\n", "citation": "SLR35, SLR36:\n@inproceedings{kjartansson-etal-sltu2018,\n    title = {{Crowd-Sourced Speech Corpora for Javanese, Sundanese,  Sinhala, Nepali, and Bangladeshi Bengali}},\n    author = {Oddur Kjartansson and Supheakmungkol Sarin and Knot Pipatsrisawat and Martin Jansche and Linne Ha},\n    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},\n    year  = {2018},\n    address = {Gurugram, India},\n    month = aug,\n    pages = {52--55},\n    URL   = {http://dx.doi.org/10.21437/SLTU.2018-11},\n}\n\nSLR41, SLR42, SLR43, SLR44:\n@inproceedings{kjartansson-etal-tts-sltu2018,\n    title = {{A Step-by-Step Process for Building TTS Voices Using Open Source Data and Framework for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese}},\n    author = {Keshan Sodimana and Knot Pipatsrisawat and Linne Ha and Martin Jansche and Oddur Kjartansson and Pasindu De Silva and Supheakmungkol Sarin},\n    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},\n    year  = {2018},\n    address = {Gurugram, India},\n    month = aug,\n    pages = {66--70},\n    URL   = {http://dx.doi.org/10.21437/SLTU.2018-14}\n}\n\nSLR63, SLR64, SLR65, SLR66:\n@inproceedings{he-etal-2020-open,\n  title = {{Open-source Multi-speaker Speech Corpora for Building Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu Speech Synthesis Systems}},\n  author = {He, Fei and Chu, Shan-Hui Cathy and Kjartansson, Oddur and Rivera, Clara and Katanova, Anna and Gutkin, Alexander and Demirsahin, Isin and Johny, Cibu and Jansche, Martin and Sarin, Supheakmungkol and Pipatsrisawat, Knot},\n  booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},\n  month = may,\n  year = {2020},\n  address = {Marseille, France},\n  publisher = {European Language Resources Association (ELRA)},\n  pages = {6494--6503},\n  url = {https://www.aclweb.org/anthology/2020.lrec-1.800},\n  ISBN = \"{979-10-95546-34-4},\n}\n\nSLR69:\n@inproceedings{kjartansson-etal-2020-open,\n    title = {{Open-Source High Quality Speech Datasets for Basque, Catalan and Galician}},\n    author = {Kjartansson, Oddur and Gutkin, Alexander and Butryna, Alena and Demirsahin, Isin and Rivera, Clara},\n    booktitle = {Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)},\n    year = {2020},\n    pages = {21--27},\n    month = may,\n    address = {Marseille, France},\n    publisher = {European Language Resources association (ELRA)},\n    url = {https://www.aclweb.org/anthology/2020.sltu-1.3},\n    ISBN = {979-10-95546-35-1},\n}\n", "homepage": "https://openslr.org/", "license": "", "features": {"path": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "open_slr", "config_name": "SLR41", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1298174, "num_examples": 5822, "dataset_name": "open_slr"}}, "download_checksums": {"https://openslr.org/resources/41/jv_id_female.zip": {"num_bytes": 967179448, "checksum": "6fd795a441b3ddd62d6131d4bbd9231151af89f5d9ce5ac7d8ecb370a49576c7"}, "https://openslr.org/resources/41/jv_id_male.zip": {"num_bytes": 923612912, "checksum": "6ee23916b7489420a538e7032f58d7be088a615fb67ec3e7043414d436bb5c1a"}}, "download_size": 1890792360, "post_processing_size": null, "dataset_size": 1298174, "size_in_bytes": 1892090534}, "SLR42": {"description": "OpenSLR is a site devoted to hosting speech and language resources, such as training corpora for speech recognition,\nand software related to speech recognition. We intend to be a convenient place for anyone to put resources that\nthey have created, so that they can be downloaded publicly.\n", "citation": "SLR35, SLR36:\n@inproceedings{kjartansson-etal-sltu2018,\n    title = {{Crowd-Sourced Speech Corpora for Javanese, Sundanese,  Sinhala, Nepali, and Bangladeshi Bengali}},\n    author = {Oddur Kjartansson and Supheakmungkol Sarin and Knot Pipatsrisawat and Martin Jansche and Linne Ha},\n    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},\n    year  = {2018},\n    address = {Gurugram, India},\n    month = aug,\n    pages = {52--55},\n    URL   = {http://dx.doi.org/10.21437/SLTU.2018-11},\n}\n\nSLR41, SLR42, SLR43, SLR44:\n@inproceedings{kjartansson-etal-tts-sltu2018,\n    title = {{A Step-by-Step Process for Building TTS Voices Using Open Source Data and Framework for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese}},\n    author = {Keshan Sodimana and Knot Pipatsrisawat and Linne Ha and Martin Jansche and Oddur Kjartansson and Pasindu De Silva and Supheakmungkol Sarin},\n    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},\n    year  = {2018},\n    address = {Gurugram, India},\n    month = aug,\n    pages = {66--70},\n    URL   = {http://dx.doi.org/10.21437/SLTU.2018-14}\n}\n\nSLR63, SLR64, SLR65, SLR66:\n@inproceedings{he-etal-2020-open,\n  title = {{Open-source Multi-speaker Speech Corpora for Building Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu Speech Synthesis Systems}},\n  author = {He, Fei and Chu, Shan-Hui Cathy and Kjartansson, Oddur and Rivera, Clara and Katanova, Anna and Gutkin, Alexander and Demirsahin, Isin and Johny, Cibu and Jansche, Martin and Sarin, Supheakmungkol and Pipatsrisawat, Knot},\n  booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},\n  month = may,\n  year = {2020},\n  address = {Marseille, France},\n  publisher = {European Language Resources Association (ELRA)},\n  pages = {6494--6503},\n  url = {https://www.aclweb.org/anthology/2020.lrec-1.800},\n  ISBN = \"{979-10-95546-34-4},\n}\n\nSLR69:\n@inproceedings{kjartansson-etal-2020-open,\n    title = {{Open-Source High Quality Speech Datasets for Basque, Catalan and Galician}},\n    author = {Kjartansson, Oddur and Gutkin, Alexander and Butryna, Alena and Demirsahin, Isin and Rivera, Clara},\n    booktitle = {Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)},\n    year = {2020},\n    pages = {21--27},\n    month = may,\n    address = {Marseille, France},\n    publisher = {European Language Resources association (ELRA)},\n    url = {https://www.aclweb.org/anthology/2020.sltu-1.3},\n    ISBN = {979-10-95546-35-1},\n}\n", "homepage": "https://openslr.org/", "license": "", "features": {"path": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "open_slr", "config_name": "SLR42", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 874760, "num_examples": 2906, "dataset_name": "open_slr"}}, "download_checksums": {"https://openslr.org/resources/42/km_kh_male.zip": {"num_bytes": 866086951, "checksum": "c0ec9c0494c57f04cf1f2d8d2668d517598375f24e34de07272ecd637c332591"}}, "download_size": 866086951, "post_processing_size": null, "dataset_size": 874760, "size_in_bytes": 866961711}, "SLR43": {"description": "OpenSLR is a site devoted to hosting speech and language resources, such as training corpora for speech recognition,\nand software related to speech recognition. We intend to be a convenient place for anyone to put resources that\nthey have created, so that they can be downloaded publicly.\n", "citation": "SLR35, SLR36:\n@inproceedings{kjartansson-etal-sltu2018,\n    title = {{Crowd-Sourced Speech Corpora for Javanese, Sundanese,  Sinhala, Nepali, and Bangladeshi Bengali}},\n    author = {Oddur Kjartansson and Supheakmungkol Sarin and Knot Pipatsrisawat and Martin Jansche and Linne Ha},\n    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},\n    year  = {2018},\n    address = {Gurugram, India},\n    month = aug,\n    pages = {52--55},\n    URL   = {http://dx.doi.org/10.21437/SLTU.2018-11},\n}\n\nSLR41, SLR42, SLR43, SLR44:\n@inproceedings{kjartansson-etal-tts-sltu2018,\n    title = {{A Step-by-Step Process for Building TTS Voices Using Open Source Data and Framework for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese}},\n    author = {Keshan Sodimana and Knot Pipatsrisawat and Linne Ha and Martin Jansche and Oddur Kjartansson and Pasindu De Silva and Supheakmungkol Sarin},\n    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},\n    year  = {2018},\n    address = {Gurugram, India},\n    month = aug,\n    pages = {66--70},\n    URL   = {http://dx.doi.org/10.21437/SLTU.2018-14}\n}\n\nSLR63, SLR64, SLR65, SLR66:\n@inproceedings{he-etal-2020-open,\n  title = {{Open-source Multi-speaker Speech Corpora for Building Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu Speech Synthesis Systems}},\n  author = {He, Fei and Chu, Shan-Hui Cathy and Kjartansson, Oddur and Rivera, Clara and Katanova, Anna and Gutkin, Alexander and Demirsahin, Isin and Johny, Cibu and Jansche, Martin and Sarin, Supheakmungkol and Pipatsrisawat, Knot},\n  booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},\n  month = may,\n  year = {2020},\n  address = {Marseille, France},\n  publisher = {European Language Resources Association (ELRA)},\n  pages = {6494--6503},\n  url = {https://www.aclweb.org/anthology/2020.lrec-1.800},\n  ISBN = \"{979-10-95546-34-4},\n}\n\nSLR69:\n@inproceedings{kjartansson-etal-2020-open,\n    title = {{Open-Source High Quality Speech Datasets for Basque, Catalan and Galician}},\n    author = {Kjartansson, Oddur and Gutkin, Alexander and Butryna, Alena and Demirsahin, Isin and Rivera, Clara},\n    booktitle = {Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)},\n    year = {2020},\n    pages = {21--27},\n    month = may,\n    address = {Marseille, France},\n    publisher = {European Language Resources association (ELRA)},\n    url = {https://www.aclweb.org/anthology/2020.sltu-1.3},\n    ISBN = {979-10-95546-35-1},\n}\n", "homepage": "https://openslr.org/", "license": "", "features": {"path": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "open_slr", "config_name": "SLR43", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 676945, "num_examples": 2064, "dataset_name": "open_slr"}}, "download_checksums": {"https://openslr.org/resources/43/ne_np_female.zip": {"num_bytes": 800375645, "checksum": "3f355b543e1fad7af5e63116db871fac8e0a2d2f1a2c8f6ebc742270819da101"}}, "download_size": 800375645, "post_processing_size": null, "dataset_size": 676945, "size_in_bytes": 801052590}, "SLR44": {"description": "OpenSLR is a site devoted to hosting speech and language resources, such as training corpora for speech recognition,\nand software related to speech recognition. We intend to be a convenient place for anyone to put resources that\nthey have created, so that they can be downloaded publicly.\n", "citation": "SLR35, SLR36:\n@inproceedings{kjartansson-etal-sltu2018,\n    title = {{Crowd-Sourced Speech Corpora for Javanese, Sundanese,  Sinhala, Nepali, and Bangladeshi Bengali}},\n    author = {Oddur Kjartansson and Supheakmungkol Sarin and Knot Pipatsrisawat and Martin Jansche and Linne Ha},\n    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},\n    year  = {2018},\n    address = {Gurugram, India},\n    month = aug,\n    pages = {52--55},\n    URL   = {http://dx.doi.org/10.21437/SLTU.2018-11},\n}\n\nSLR41, SLR42, SLR43, SLR44:\n@inproceedings{kjartansson-etal-tts-sltu2018,\n    title = {{A Step-by-Step Process for Building TTS Voices Using Open Source Data and Framework for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese}},\n    author = {Keshan Sodimana and Knot Pipatsrisawat and Linne Ha and Martin Jansche and Oddur Kjartansson and Pasindu De Silva and Supheakmungkol Sarin},\n    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},\n    year  = {2018},\n    address = {Gurugram, India},\n    month = aug,\n    pages = {66--70},\n    URL   = {http://dx.doi.org/10.21437/SLTU.2018-14}\n}\n\nSLR63, SLR64, SLR65, SLR66:\n@inproceedings{he-etal-2020-open,\n  title = {{Open-source Multi-speaker Speech Corpora for Building Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu Speech Synthesis Systems}},\n  author = {He, Fei and Chu, Shan-Hui Cathy and Kjartansson, Oddur and Rivera, Clara and Katanova, Anna and Gutkin, Alexander and Demirsahin, Isin and Johny, Cibu and Jansche, Martin and Sarin, Supheakmungkol and Pipatsrisawat, Knot},\n  booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},\n  month = may,\n  year = {2020},\n  address = {Marseille, France},\n  publisher = {European Language Resources Association (ELRA)},\n  pages = {6494--6503},\n  url = {https://www.aclweb.org/anthology/2020.lrec-1.800},\n  ISBN = \"{979-10-95546-34-4},\n}\n\nSLR69:\n@inproceedings{kjartansson-etal-2020-open,\n    title = {{Open-Source High Quality Speech Datasets for Basque, Catalan and Galician}},\n    author = {Kjartansson, Oddur and Gutkin, Alexander and Butryna, Alena and Demirsahin, Isin and Rivera, Clara},\n    booktitle = {Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)},\n    year = {2020},\n    pages = {21--27},\n    month = may,\n    address = {Marseille, France},\n    publisher = {European Language Resources association (ELRA)},\n    url = {https://www.aclweb.org/anthology/2020.sltu-1.3},\n    ISBN = {979-10-95546-35-1},\n}\n", "homepage": "https://openslr.org/", "license": "", "features": {"path": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "open_slr", "config_name": "SLR44", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 961553, "num_examples": 4213, "dataset_name": "open_slr"}}, "download_checksums": {"https://openslr.org/resources/44/su_id_female.zip": {"num_bytes": 861425671, "checksum": "aa75bdef23b7bf0b980431d68df6bb32f695f3be365eb379d4c22516d2d11c5a"}, "https://openslr.org/resources/44/su_id_male.zip": {"num_bytes": 610827081, "checksum": "cabed03a45d4ce0f76e2de4d34b82d6876cd00d5ad6a5349629359028460652d"}}, "download_size": 1472252752, "post_processing_size": null, "dataset_size": 961553, "size_in_bytes": 1473214305}, "SLR63": {"description": "OpenSLR is a site devoted to hosting speech and language resources, such as training corpora for speech recognition,\nand software related to speech recognition. 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openslr.py

@@ -0,0 +1,489 @@
+# coding=utf-8
+# Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+""" OpenSLR Dataset"""
+
+from __future__ import absolute_import, division, print_function
+
+import os
+import re
+from pathlib import Path
+
+import datasets
+
+
+_DATA_URL = "https://openslr.org/resources/{}"
+
+_CITATION = """\
+SLR35, SLR36:
+@inproceedings{kjartansson-etal-sltu2018,
+    title = {{Crowd-Sourced Speech Corpora for Javanese, Sundanese,  Sinhala, Nepali, and Bangladeshi Bengali}},
+    author = {Oddur Kjartansson and Supheakmungkol Sarin and Knot Pipatsrisawat and Martin Jansche and Linne Ha},
+    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},
+    year  = {2018},
+    address = {Gurugram, India},
+    month = aug,
+    pages = {52--55},
+    URL   = {http://dx.doi.org/10.21437/SLTU.2018-11},
+}
+
+SLR41, SLR42, SLR43, SLR44:
+@inproceedings{kjartansson-etal-tts-sltu2018,
+    title = {{A Step-by-Step Process for Building TTS Voices Using Open Source Data and Framework for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese}},
+    author = {Keshan Sodimana and Knot Pipatsrisawat and Linne Ha and Martin Jansche and Oddur Kjartansson and Pasindu De Silva and Supheakmungkol Sarin},
+    booktitle = {Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU)},
+    year  = {2018},
+    address = {Gurugram, India},
+    month = aug,
+    pages = {66--70},
+    URL   = {http://dx.doi.org/10.21437/SLTU.2018-14}
+}
+
+SLR63, SLR64, SLR65, SLR66, SLR78, SLR79:
+@inproceedings{he-etal-2020-open,
+  title = {{Open-source Multi-speaker Speech Corpora for Building Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu Speech Synthesis Systems}},
+  author = {He, Fei and Chu, Shan-Hui Cathy and Kjartansson, Oddur and Rivera, Clara and Katanova, Anna and Gutkin, Alexander and Demirsahin, Isin and Johny, Cibu and Jansche, Martin and Sarin, Supheakmungkol and Pipatsrisawat, Knot},
+  booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},
+  month = may,
+  year = {2020},
+  address = {Marseille, France},
+  publisher = {European Language Resources Association (ELRA)},
+  pages = {6494--6503},
+  url = {https://www.aclweb.org/anthology/2020.lrec-1.800},
+  ISBN = "{979-10-95546-34-4},
+}
+
+SLR69, SLR76, SLR77:
+@inproceedings{kjartansson-etal-2020-open,
+    title = {{Open-Source High Quality Speech Datasets for Basque, Catalan and Galician}},
+    author = {Kjartansson, Oddur and Gutkin, Alexander and Butryna, Alena and Demirsahin, Isin and Rivera, Clara},
+    booktitle = {Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)},
+    year = {2020},
+    pages = {21--27},
+    month = may,
+    address = {Marseille, France},
+    publisher = {European Language Resources association (ELRA)},
+    url = {https://www.aclweb.org/anthology/2020.sltu-1.3},
+    ISBN = {979-10-95546-35-1},
+}
+
+SLR71, SLR71, SLR72, SLR73, SLR74, SLR75:
+@inproceedings{guevara-rukoz-etal-2020-crowdsourcing,
+    title = {{Crowdsourcing Latin American Spanish for Low-Resource Text-to-Speech}},
+    author = {Guevara-Rukoz, Adriana and Demirsahin, Isin and He, Fei and Chu, Shan-Hui Cathy and Sarin, Supheakmungkol and Pipatsrisawat, Knot and Gutkin, Alexander and Butryna, Alena and Kjartansson, Oddur},
+    booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},
+    year = {2020},
+    month = may,
+    address = {Marseille, France},
+    publisher = {European Language Resources Association (ELRA)},
+    url = {https://www.aclweb.org/anthology/2020.lrec-1.801},
+    pages = {6504--6513},
+    ISBN = {979-10-95546-34-4},
+}
+
+SLR80
+@inproceedings{oo-etal-2020-burmese,
+    title = {{Burmese Speech Corpus, Finite-State Text Normalization and Pronunciation Grammars with an Application to Text-to-Speech}},
+    author = {Oo, Yin May and Wattanavekin, Theeraphol and Li, Chenfang and De Silva, Pasindu and Sarin, Supheakmungkol and Pipatsrisawat, Knot and Jansche, Martin and Kjartansson, Oddur and Gutkin, Alexander},
+    booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},
+    month = may,
+    year = {2020},
+    pages = "6328--6339",
+    address = {Marseille, France},
+    publisher = {European Language Resources Association (ELRA)},
+    url = {https://www.aclweb.org/anthology/2020.lrec-1.777},
+    ISBN = {979-10-95546-34-4},
+}
+
+SLR86
+@inproceedings{gutkin-et-al-yoruba2020,
+    title = {{Developing an Open-Source Corpus of Yoruba Speech}},
+    author = {Alexander Gutkin and Işın Demirşahin and Oddur Kjartansson and Clara Rivera and Kọ́lá Túbọ̀sún},
+    booktitle = {Proceedings of Interspeech 2020},
+    pages = {404--408},
+    month = {October},
+    year = {2020},
+    address = {Shanghai, China},
+    publisher = {International Speech and Communication Association (ISCA)},
+    doi = {10.21437/Interspeech.2020-1096},
+    url = {https://dx.doi.org/10.21437/Interspeech.2020-1096},
+}
+"""
+
+_DESCRIPTION = """\
+OpenSLR is a site devoted to hosting speech and language resources, such as training corpora for speech recognition,
+and software related to speech recognition. We intend to be a convenient place for anyone to put resources that
+they have created, so that they can be downloaded publicly.
+"""
+
+_HOMEPAGE = "https://openslr.org/"
+
+_LICENSE = ""
+
+_RESOURCES = {
+    "SLR35": {
+        "Language": "Javanese",
+        "LongName": "Large Javanese ASR training data set",
+        "Category": "Speech",
+        "Summary": "Javanese ASR training data set containing ~185K utterances",
+        "Files": [
+            "asr_javanese_0.zip",
+            "asr_javanese_1.zip",
+            "asr_javanese_2.zip",
+            "asr_javanese_3.zip",
+            "asr_javanese_4.zip",
+            "asr_javanese_5.zip",
+            "asr_javanese_6.zip",
+            "asr_javanese_7.zip",
+            "asr_javanese_8.zip",
+            "asr_javanese_9.zip",
+            "asr_javanese_a.zip",
+            "asr_javanese_b.zip",
+            "asr_javanese_c.zip",
+            "asr_javanese_d.zip",
+            "asr_javanese_e.zip",
+            "asr_javanese_f.zip",
+        ],
+        "IndexFiles": ["asr_javanese/utt_spk_text.tsv"] * 16,
+        "DataDirs": ["asr_javanese/data"] * 16,
+    },
+    "SLR36": {
+        "Language": "Sundanese",
+        "LongName": "Large Sundanese ASR training data set",
+        "Category": "Speech",
+        "Summary": "Sundanese ASR training data set containing ~220K utterances",
+        "Files": [
+            "asr_sundanese_0.zip",
+            "asr_sundanese_1.zip",
+            "asr_sundanese_2.zip",
+            "asr_sundanese_3.zip",
+            "asr_sundanese_4.zip",
+            "asr_sundanese_5.zip",
+            "asr_sundanese_6.zip",
+            "asr_sundanese_7.zip",
+            "asr_sundanese_8.zip",
+            "asr_sundanese_9.zip",
+            "asr_sundanese_a.zip",
+            "asr_sundanese_b.zip",
+            "asr_sundanese_c.zip",
+            "asr_sundanese_d.zip",
+            "asr_sundanese_e.zip",
+            "asr_sundanese_f.zip",
+        ],
+        "IndexFiles": ["asr_sundanese/utt_spk_text.tsv"] * 16,
+        "DataDirs": ["asr_sundanese/data"] * 16,
+    },
+    "SLR41": {
+        "Language": "Javanese",
+        "LongName": "High quality TTS data for Javanese",
+        "Category": "Speech",
+        "Summary": "Multi-speaker TTS data for Javanese (jv-ID)",
+        "Files": ["jv_id_female.zip", "jv_id_male.zip"],
+        "IndexFiles": ["jv_id_female/line_index.tsv", "jv_id_male/line_index.tsv"],
+        "DataDirs": ["jv_id_female/wavs", "jv_id_male/wavs"],
+    },
+    "SLR42": {
+        "Language": "Khmer",
+        "LongName": "High quality TTS data for Khmer",
+        "Category": "Speech",
+        "Summary": "Multi-speaker TTS data for Khmer (km-KH)",
+        "Files": ["km_kh_male.zip"],
+        "IndexFiles": ["km_kh_male/line_index.tsv"],
+        "DataDirs": ["km_kh_male/wavs"],
+    },
+    "SLR43": {
+        "Language": "Nepali",
+        "LongName": "High quality TTS data for Nepali",
+        "Category": "Speech",
+        "Summary": "Multi-speaker TTS data for Nepali (ne-NP)",
+        "Files": ["ne_np_female.zip"],
+        "IndexFiles": ["ne_np_female/line_index.tsv"],
+        "DataDirs": ["ne_np_female/wavs"],
+    },
+    "SLR44": {
+        "Language": "Sundanese",
+        "LongName": "High quality TTS data for Sundanese",
+        "Category": "Speech",
+        "Summary": "Multi-speaker TTS data for Javanese Sundanese (su-ID)",
+        "Files": ["su_id_female.zip", "su_id_male.zip"],
+        "IndexFiles": ["su_id_female/line_index.tsv", "su_id_male/line_index.tsv"],
+        "DataDirs": ["su_id_female/wavs", "su_id_male/wavs"],
+    },
+    "SLR63": {
+        "Language": "Malayalam",
+        "LongName": "Crowdsourced high-quality Malayalam multi-speaker speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of native speakers of Malayalam",
+        "Files": ["ml_in_female.zip", "ml_in_male.zip"],
+        "IndexFiles": ["line_index.tsv", "line_index.tsv"],
+        "DataDirs": ["", ""],
+    },
+    "SLR64": {
+        "Language": "Marathi",
+        "LongName": "Crowdsourced high-quality Marathi multi-speaker speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of native speakers of Marathi",
+        "Files": ["mr_in_female.zip"],
+        "IndexFiles": ["line_index.tsv"],
+        "DataDirs": ["", ""],
+    },
+    "SLR65": {
+        "Language": "Tamil",
+        "LongName": "Crowdsourced high-quality Tamil multi-speaker speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of native speakers of Tamil",
+        "Files": ["ta_in_female.zip", "ta_in_male.zip"],
+        "IndexFiles": ["line_index.tsv", "line_index.tsv"],
+        "DataDirs": ["", ""],
+    },
+    "SLR66": {
+        "Language": "Telugu",
+        "LongName": "Crowdsourced high-quality Telugu multi-speaker speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of native speakers of Telugu",
+        "Files": ["te_in_female.zip", "te_in_male.zip"],
+        "IndexFiles": ["line_index.tsv", "line_index.tsv"],
+        "DataDirs": ["", ""],
+    },
+    "SLR69": {
+        "Language": "Catalan",
+        "LongName": "Crowdsourced high-quality Catalan speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of Catalan",
+        "Files": ["ca_es_female.zip", "ca_es_male.zip"],
+        "IndexFiles": ["line_index.tsv", "line_index.tsv"],
+        "DataDirs": ["", ""],
+    },
+    "SLR70": {
+        "Language": "Nigerian English",
+        "LongName": "Crowdsourced high-quality Nigerian English speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of Nigerian English",
+        "Files": ["en_ng_female.zip", "en_ng_male.zip"],
+        "IndexFiles": ["line_index.tsv", "line_index.tsv"],
+        "DataDirs": ["", ""],
+    },
+    "SLR71": {
+        "Language": "Chilean Spanish",
+        "LongName": "Crowdsourced high-quality Chilean Spanish speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of Chilean Spanish",
+        "Files": ["es_cl_female.zip", "es_cl_male.zip"],
+        "IndexFiles": ["line_index.tsv", "line_index.tsv"],
+        "DataDirs": ["", ""],
+    },
+    "SLR72": {
+        "Language": "Columbian Spanish",
+        "LongName": "Crowdsourced high-quality Columbian Spanish speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of Columbian Spanish",
+        "Files": ["es_co_female.zip", "es_co_male.zip"],
+        "IndexFiles": ["line_index.tsv", "line_index.tsv"],
+        "DataDirs": ["", ""],
+    },
+    "SLR73": {
+        "Language": "Peruvian Spanish",
+        "LongName": "Crowdsourced high-quality Peruvian Spanish speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of Peruvian Spanish",
+        "Files": ["es_pe_female.zip", "es_pe_male.zip"],
+        "IndexFiles": ["line_index.tsv", "line_index.tsv"],
+        "DataDirs": ["", ""],
+    },
+    "SLR74": {
+        "Language": "Puerto Rico Spanish",
+        "LongName": "Crowdsourced high-quality Puerto Rico Spanish speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of Puerto Rico Spanish",
+        "Files": ["es_pr_female.zip"],
+        "IndexFiles": ["line_index.tsv"],
+        "DataDirs": [""],
+    },
+    "SLR75": {
+        "Language": "Venezuelan Spanish",
+        "LongName": "Crowdsourced high-quality Venezuelan Spanish speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of Venezuelan Spanish",
+        "Files": ["es_ve_female.zip", "es_ve_male.zip"],
+        "IndexFiles": ["line_index.tsv", "line_index.tsv"],
+        "DataDirs": ["", ""],
+    },
+    "SLR76": {
+        "Language": "Basque",
+        "LongName": "Crowdsourced high-quality Basque speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of Basque",
+        "Files": ["eu_es_female.zip", "eu_es_male.zip"],
+        "IndexFiles": ["line_index.tsv", "line_index.tsv"],
+        "DataDirs": ["", ""],
+    },
+    "SLR77": {
+        "Language": "Galician",
+        "LongName": "Crowdsourced high-quality Galician speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of Galician",
+        "Files": ["gl_es_female.zip", "gl_es_male.zip"],
+        "IndexFiles": ["line_index.tsv", "line_index.tsv"],
+        "DataDirs": ["", ""],
+    },
+    "SLR78": {
+        "Language": "Gujarati",
+        "LongName": "Crowdsourced high-quality Gujarati multi-speaker speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of native speakers of Gujarati",
+        "Files": ["gu_in_female.zip", "gu_in_male.zip"],
+        "IndexFiles": ["line_index.tsv", "line_index.tsv"],
+        "DataDirs": ["", ""],
+    },
+    "SLR79": {
+        "Language": "Kannada",
+        "LongName": "Crowdsourced high-quality Kannada multi-speaker speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of native speakers of Kannada",
+        "Files": ["kn_in_female.zip", "kn_in_male.zip"],
+        "IndexFiles": ["line_index.tsv", "line_index.tsv"],
+        "DataDirs": ["", ""],
+    },
+    "SLR80": {
+        "Language": "Burmese",
+        "LongName": "Crowdsourced high-quality Burmese speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of Burmese",
+        "Files": ["my_mm_female.zip"],
+        "IndexFiles": ["line_index.tsv"],
+        "DataDirs": [""],
+    },
+    "SLR86": {
+        "Language": "Yoruba",
+        "LongName": "Crowdsourced high-quality Yoruba speech data set",
+        "Category": "Speech",
+        "Summary": "Data set which contains recordings of Yoruba",
+        "Files": ["yo_ng_female.zip", "yo_ng_male.zip"],
+        "IndexFiles": ["line_index.tsv", "line_index.tsv"],
+        "DataDirs": ["", ""],
+    },
+}
+
+
+class OpenSlrConfig(datasets.BuilderConfig):
+    """BuilderConfig for OpenSlr."""
+
+    def __init__(self, name, **kwargs):
+        """
+        Args:
+          data_dir: `string`, the path to the folder containing the files in the
+            downloaded .tar
+          citation: `string`, citation for the data set
+          url: `string`, url for information about the data set
+          **kwargs: keyword arguments forwarded to super.
+        """
+        self.language = kwargs.pop("language", None)
+        self.long_name = kwargs.pop("long_name", None)
+        self.category = kwargs.pop("category", None)
+        self.summary = kwargs.pop("summary", None)
+        self.files = kwargs.pop("files", None)
+        self.index_files = kwargs.pop("index_files", None)
+        self.data_dirs = kwargs.pop("data_dirs", None)
+        description = f"Open Speech and Language Resources dataset in {self.language}. Name: {self.name}, Summary: {self.summary}."
+        super(OpenSlrConfig, self).__init__(name=name, description=description, **kwargs)
+
+
+class OpenSlr(datasets.GeneratorBasedBuilder):
+
+    BUILDER_CONFIGS = [
+        OpenSlrConfig(
+            name=resource_id,
+            language=_RESOURCES[resource_id]["Language"],
+            long_name=_RESOURCES[resource_id]["LongName"],
+            category=_RESOURCES[resource_id]["Category"],
+            summary=_RESOURCES[resource_id]["Summary"],
+            files=_RESOURCES[resource_id]["Files"],
+            index_files=_RESOURCES[resource_id]["IndexFiles"],
+            data_dirs=_RESOURCES[resource_id]["DataDirs"],
+        )
+        for resource_id in _RESOURCES.keys()
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "path": datasets.Value("string"),
+                "sentence": datasets.Value("string"),
+            }
+        )
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        resource_number = self.config.name.replace("SLR", "")
+        urls = [f"{_DATA_URL.format(resource_number)}/{file}" for file in self.config.files]
+        dl_paths = dl_manager.download_and_extract(urls)
+        abs_path_to_indexs = [os.path.join(path, f"{self.config.index_files[i]}") for i, path in enumerate(dl_paths)]
+        abs_path_to_datas = [os.path.join(path, f"{self.config.data_dirs[i]}") for i, path in enumerate(dl_paths)]
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "path_to_indexs": abs_path_to_indexs,
+                    "path_to_datas": abs_path_to_datas,
+                },
+            ),
+        ]
+
+    def _generate_examples(self, path_to_indexs, path_to_datas):
+        """ Yields examples. """
+
+        counter = -1
+        if self.config.name in ["SLR35", "SLR36"]:
+            sentence_index = {}
+            for i, path_to_index in enumerate(path_to_indexs):
+                with open(path_to_index, encoding="utf-8") as f:
+                    lines = f.readlines()
+                    for id_, line in enumerate(lines):
+                        field_values = re.split(r"\t\t?", line.strip())
+                        filename, user_id, sentence = field_values
+                        sentence_index[filename] = sentence
+                for path_to_data in sorted(Path(path_to_datas[i]).rglob("*.flac")):
+                    filename = path_to_data.stem
+                    if path_to_data.stem not in sentence_index:
+                        continue
+                    path = str(path_to_data.resolve())
+                    sentence = sentence_index[filename]
+                    counter += 1
+                    yield counter, {"path": path, "sentence": sentence}
+        else:
+            for i, path_to_index in enumerate(path_to_indexs):
+                with open(path_to_index, encoding="utf-8") as f:
+                    lines = f.readlines()
+                    for id_, line in enumerate(lines):
+                        # Following regexs are needed to normalise the lines, since the datasets
+                        # are not always consistent and have bugs:
+                        line = re.sub(r"\t[^\t]*\t", "\t", line.strip())
+                        field_values = re.split(r"\t\t?", line)
+                        if len(field_values) != 2:
+                            continue
+                        filename, sentence = field_values
+                        # set absolute path for audio file
+                        path = os.path.join(path_to_datas[i], f"{filename}.wav")
+                        counter += 1
+                        yield counter, {"path": path, "sentence": sentence}