| --- |
| annotations_creators: [] |
| language_creators: |
| - crowdsourced |
| - expert-generated |
| - machine-generated |
| - found |
| - other |
| language: |
| - asm |
| - ben |
| - brx |
| - doi |
| - guj |
| - hin |
| - kan |
| - kas |
| - kok |
| - mai |
| - mal |
| - mar |
| - mni |
| - nep |
| - ori |
| - pan |
| - san |
| - sid |
| - tam |
| - tel |
| - urd |
| license: cc |
| multilinguality: |
| - multilingual |
| pretty_name: Aksharantar |
| source_datasets: |
| - original |
| task_categories: |
| - text-generation |
| task_ids: [] |
| --- |
| |
| # Dataset Card for Aksharantar |
|
|
| ## Table of Contents |
| - [Table of Contents](#table-of-contents) |
| - [Dataset Description](#dataset-description) |
| - [Dataset Summary](#dataset-summary) |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
| - [Languages](#languages) |
| - [Dataset Structure](#dataset-structure) |
| - [Data Instances](#data-instances) |
| - [Data Fields](#data-fields) |
| - [Data Splits](#data-splits) |
| - [Dataset Creation](#dataset-creation) |
| - [Curation Rationale](#curation-rationale) |
| - [Source Data](#source-data) |
| - [Annotations](#annotations) |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) |
| - [Considerations for Using the Data](#considerations-for-using-the-data) |
| - [Social Impact of Dataset](#social-impact-of-dataset) |
| - [Discussion of Biases](#discussion-of-biases) |
| - [Other Known Limitations](#other-known-limitations) |
| - [Additional Information](#additional-information) |
| - [Dataset Curators](#dataset-curators) |
| - [Licensing Information](#licensing-information) |
| - [Citation Information](#citation-information) |
| - [Contributions](#contributions) |
|
|
| ## Dataset Description |
|
|
| - **Homepage:** https://indicnlp.ai4bharat.org/indic-xlit/ |
| - **Repository:** https://github.com/AI4Bharat/IndicXlit/ |
| - **Paper:** [Aksharantar: Towards building open transliteration tools for the next billion users](https://arxiv.org/abs/2205.03018) |
| - **Leaderboard:** |
| - **Point of Contact:** |
|
|
| ### Dataset Summary |
|
|
| Aksharantar is the largest publicly available transliteration dataset for 20 Indic languages. The corpus has 26M Indic language-English transliteration pairs. |
|
|
| ### Supported Tasks and Leaderboards |
|
|
| [More Information Needed] |
|
|
| ### Languages |
|
|
| | <!-- --> | <!-- --> | <!-- --> | <!-- --> | <!-- --> | <!-- --> | |
| | -------------- | -------------- | -------------- | --------------- | -------------- | ------------- | |
| | Assamese (asm) | Hindi (hin) | Maithili (mai) | Marathi (mar) | Punjabi (pan) | Tamil (tam) | |
| | Bengali (ben) | Kannada (kan) | Malayalam (mal)| Nepali (nep) | Sanskrit (san) | Telugu (tel) | |
| | Bodo(brx) | Kashmiri (kas) | Manipuri (mni) | Oriya (ori) | Sindhi (snd) | Urdu (urd) | |
| | Gujarati (guj) | Konkani (kok) | Dogri (doi) | |
|
|
|
|
| ## Dataset Structure |
|
|
|
|
| ### Data Instances |
|
|
| ``` |
| A random sample from Hindi (hin) Train dataset. |
| |
| { |
| 'unique_identifier': 'hin1241393', |
| 'native word': 'स्वाभिमानिक', |
| 'english word': 'swabhimanik', |
| 'source': 'IndicCorp', |
| 'score': -0.1028788579 |
| } |
| |
| ``` |
|
|
| ### Data Fields |
|
|
| - `unique_identifier` (string): 3-letter language code followed by a unique number in each set (Train, Test, Val). |
| - `native word` (string): A word in Indic language. |
| - `english word` (string): Transliteration of native word in English (Romanised word). |
| - `source` (string): Source of the data. |
| - `score` (num): Character level log probability of indic word given roman word by IndicXlit (model). Pairs with average threshold of the 0.35 are considered. |
|
|
| For created data sources, depending on the destination/sampling method of a pair in a language, it will be one of: |
| - Dakshina Dataset |
| - IndicCorp |
| - Samanantar |
| - Wikidata |
| - Existing sources |
| - Named Entities Indian (AK-NEI) |
| - Named Entities Foreign (AK-NEF) |
| - Data from Uniform Sampling method. (Ak-Uni) |
| - Data from Most Frequent words sampling method. (Ak-Freq) |
| |
| |
| |
| |
| ### Data Splits |
|
|
| | Subset | asm-en | ben-en | brx-en | guj-en | hin-en | kan-en | kas-en | kok-en | mai-en | mal-en | mni-en | mar-en | nep-en | ori-en | pan-en | san-en | sid-en | tam-en | tel-en | urd-en | |
| |:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:| |
| | Training | 179K | 1231K | 36K | 1143K | 1299K | 2907K | 47K | 613K | 283K | 4101K | 10K | 1453K | 2397K | 346K | 515K | 1813K | 60K | 3231K | 2430K | 699K | |
| | Validation | 4K | 11K | 3K | 12K | 6K | 7K | 4K | 4K | 4K | 8K | 3K | 8K | 3K | 3K | 9K | 3K | 8K | 9K | 8K | 12K | |
| | Test | 5531 | 5009 | 4136 | 7768 | 5693 | 6396 | 7707 | 5093 | 5512 | 6911 | 4925 | 6573 | 4133 | 4256 | 4316 | 5334 | - | 4682 | 4567 | 4463 | |
|
|
|
|
| ## Dataset Creation |
|
|
| Information in the paper. [Aksharantar: Towards building open transliteration tools for the next billion users](https://arxiv.org/abs/2205.03018) |
|
|
| ### Curation Rationale |
|
|
| [More Information Needed] |
|
|
| ### Source Data |
|
|
| #### Initial Data Collection and Normalization |
|
|
| Information in the paper. [Aksharantar: Towards building open transliteration tools for the next billion users](https://arxiv.org/abs/2205.03018) |
|
|
| #### Who are the source language producers? |
|
|
| [More Information Needed] |
|
|
| ### Annotations |
|
|
| Information in the paper. [Aksharantar: Towards building open transliteration tools for the next billion users](https://arxiv.org/abs/2205.03018) |
|
|
| #### Annotation process |
|
|
| Information in the paper. [Aksharantar: Towards building open transliteration tools for the next billion users](https://arxiv.org/abs/2205.03018) |
|
|
| #### Who are the annotators? |
|
|
| Information in the paper. [Aksharantar: Towards building open transliteration tools for the next billion users](https://arxiv.org/abs/2205.03018) |
|
|
| ### Personal and Sensitive Information |
|
|
| [More Information Needed] |
|
|
| ## Considerations for Using the Data |
|
|
| ### Social Impact of Dataset |
|
|
| [More Information Needed] |
|
|
| ### Discussion of Biases |
|
|
| [More Information Needed] |
|
|
| ### Other Known Limitations |
|
|
| [More Information Needed] |
|
|
| ## Additional Information |
|
|
| ### Dataset Curators |
|
|
| [More Information Needed] |
|
|
| ### Licensing Information |
|
|
| <!-- <a rel="license" float="left" href="http://creativecommons.org/publicdomain/zero/1.0/"> |
| <img src="https://licensebuttons.net/p/zero/1.0/88x31.png" style="border-style: none;" alt="CC0" width="100" /> |
| <img src="https://mirrors.creativecommons.org/presskit/buttons/88x31/png/by.png" style="border-style: none;" alt="CC-BY" width="100" href="http://creativecommons.org/publicdomain/zero/1.0/"/> |
| </a> |
| <br/> --> |
|
|
|
|
| This data is released under the following licensing scheme: |
|
|
| - Manually collected data: Released under CC-BY license. |
| - Mined dataset (from Samanantar and IndicCorp): Released under CC0 license. |
| - Existing sources: Released under CC0 license. |
|
|
| **CC-BY License** |
|
|
| <a rel="license" float="left" href="https://creativecommons.org/about/cclicenses/"> |
| <img src="https://mirrors.creativecommons.org/presskit/buttons/88x31/png/by.png" style="border-style: none;" alt="CC-BY" width="100"/> |
| </a> |
|
|
| <br> |
| <br> |
| <!-- |
| and the Aksharantar benchmark and all manually transliterated data under the [Creative Commons CC-BY license (“no rights reserved”)](https://creativecommons.org/licenses/by/4.0/). --> |
|
|
|
|
| **CC0 License Statement** |
|
|
| <a rel="license" float="left" href="https://creativecommons.org/about/cclicenses/"> |
| <img src="https://licensebuttons.net/p/zero/1.0/88x31.png" style="border-style: none;" alt="CC0" width="100"/> |
| </a> |
|
|
| <br> |
| <br> |
|
|
| - We do not own any of the text from which this data has been extracted. |
| - We license the actual packaging of the mined data under the [Creative Commons CC0 license (“no rights reserved”)](http://creativecommons.org/publicdomain/zero/1.0). |
| - To the extent possible under law, <a rel="dct:publisher" href="https://indicnlp.ai4bharat.org/aksharantar/"> <span property="dct:title">AI4Bharat</span></a> has waived all copyright and related or neighboring rights to <span property="dct:title">Aksharantar</span> manually collected data and existing sources. |
| - This work is published from: India. |
|
|
| ### Citation Information |
|
|
| ``` |
| @misc{madhani2022aksharantar, |
| title={Aksharantar: Towards Building Open Transliteration Tools for the Next Billion Users}, |
| author={Yash Madhani and Sushane Parthan and Priyanka Bedekar and Ruchi Khapra and Anoop Kunchukuttan and Pratyush Kumar and Mitesh Shantadevi Khapra}, |
| year={2022}, |
| eprint={}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL} |
| } |
| ``` |
|
|
| ### Contributions |
