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--- |
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pretty_name: Common Language |
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annotations_creators: |
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- crowdsourced |
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language_creators: |
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- crowdsourced |
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languages: |
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- ar |
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- br |
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- ca |
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- cnh |
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- cs |
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- cv |
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- cy |
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- de |
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- dv |
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- el |
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- en |
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- eo |
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- es |
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- et |
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- eu |
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- fa |
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- fr |
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- fy-NL |
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- ia |
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- id |
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- it |
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- ja |
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- ka |
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- kab |
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- ky |
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- lv |
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- mn |
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- mt |
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- nl |
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- pl |
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- pt |
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- rm-sursilv |
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- ro |
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- ru |
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- rw |
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- sah |
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- sl |
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- sv-SE |
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- ta |
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- tr |
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- tt |
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- uk |
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- zh-CN |
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- zh-HK |
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- zh-TW |
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licenses: |
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- cc-by-4-0 |
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multilinguality: |
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- multilingual |
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size_categories: |
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- 100K<n<1M |
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source_datasets: |
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- extended|common_voice |
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task_categories: |
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- audio-classification |
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task_ids: |
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- speaker-language-identification |
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--- |
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# Dataset Card for common_language |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** https://zenodo.org/record/5036977 |
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- **Repository:** https://github.com/speechbrain/speechbrain/tree/develop/recipes/CommonLanguage |
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- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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- **Leaderboard:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Dataset Summary |
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This dataset is composed of speech recordings from languages that were carefully selected from the CommonVoice database. The total duration of audio recordings is 45.1 hours (i.e., 1 hour of material for each language). The dataset has been extracted from CommonVoice to train language-id systems. |
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### Supported Tasks and Leaderboards |
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The baselines for language-id are available in the SpeechBrain toolkit (see recipes/CommonLanguage): |
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https://github.com/speechbrain/speechbrain |
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### Languages |
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List of included languages: |
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``` |
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Arabic, Basque, Breton, Catalan, Chinese_China, Chinese_Hongkong, Chinese_Taiwan, Chuvash, Czech, Dhivehi, Dutch, English, Esperanto, Estonian, French, Frisian, Georgian, German, Greek, Hakha_Chin, Indonesian, Interlingua, Italian, Japanese, Kabyle, Kinyarwanda, Kyrgyz, Latvian, Maltese, Mongolian, Persian, Polish, Portuguese, Romanian, Romansh_Sursilvan, Russian, Sakha, Slovenian, Spanish, Swedish, Tamil, Tatar, Turkish, Ukranian, Welsh |
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``` |
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## Dataset Structure |
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### Data Instances |
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A typical data point comprises the `path` to the audio file, and its label `language`. Additional fields include `age`, `client_id`, `gender` and `sentence`. |
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```python |
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{ |
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'client_id': 'itln_trn_sp_175', |
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'path': '/path/common_voice_kpd/Italian/train/itln_trn_sp_175/common_voice_it_18279446.wav', |
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'audio': {'path': '/path/common_voice_kpd/Italian/train/itln_trn_sp_175/common_voice_it_18279446.wav', |
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'array': array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32), |
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'sampling_rate': 48000}, |
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'sentence': 'Con gli studenti è leggermente simile.', |
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'age': 'not_defined', |
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'gender': 'not_defined', |
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'language': 22 |
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} |
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``` |
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### Data Fields |
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`client_id` (`string`): An id for which client (voice) made the recording |
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`path` (`string`): The path to the audio file |
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- `audio` (`dict`): A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, *i.e.* `dataset[0]["audio"]` should **always** be preferred over `dataset["audio"][0]`. |
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`language` (`ClassLabel`): The language of the recording (see the `Languages` section above) |
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`sentence` (`string`): The sentence the user was prompted to speak |
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`age` (`string`): The age of the speaker. |
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`gender` (`string`): The gender of the speaker |
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### Data Splits |
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The dataset is already balanced and split into train, dev (validation) and test sets. |
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| Name | Train | Dev | Test | |
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|:---------------------------------:|:------:|:------:|:-----:| |
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| **# of utterances** | 177552 | 47104 | 47704 | |
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| **# unique speakers** | 11189 | 1297 | 1322 | |
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| **Total duration, hr** | 30.04 | 7.53 | 7.53 | |
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| **Min duration, sec** | 0.86 | 0.98 | 0.89 | |
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| **Mean duration, sec** | 4.87 | 4.61 | 4.55 | |
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| **Max duration, sec** | 21.72 | 105.67 | 29.83 | |
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| **Duration per language, min** | ~40 | ~10 | ~10 | |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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#### Who are the source language producers? |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Annotations |
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#### Annotation process |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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#### Who are the annotators? |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Personal and Sensitive Information |
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The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in the Common Voice dataset. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in the Common Voice dataset. |
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### Discussion of Biases |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Other Known Limitations |
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The Mongolian and Ukrainian languages are spelled as "Mangolian" and "Ukranian" in this version of the dataset. |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Additional Information |
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### Dataset Curators |
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[Ganesh Sinisetty; Pavlo Ruban; Oleksandr Dymov; Mirco Ravanelli](https://zenodo.org/record/5036977#.YdTZ5hPMJ70) |
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### Licensing Information |
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[Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/legalcode) |
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### Citation Information |
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``` |
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@dataset{ganesh_sinisetty_2021_5036977, |
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author = {Ganesh Sinisetty and |
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Pavlo Ruban and |
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Oleksandr Dymov and |
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Mirco Ravanelli}, |
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title = {CommonLanguage}, |
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month = jun, |
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year = 2021, |
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publisher = {Zenodo}, |
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version = {0.1}, |
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doi = {10.5281/zenodo.5036977}, |
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url = {https://doi.org/10.5281/zenodo.5036977} |
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} |
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``` |
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### Contributions |
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Thanks to [@anton-l](https://github.com/anton-l) for adding this dataset. |
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