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--- |
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license: cc0-1.0 |
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annotations_creators: [] |
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language_creators: |
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- crowdsourced |
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- expert-generated |
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- machine-generated |
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- found |
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- other |
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language: |
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- asm |
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- ben |
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- brx |
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- guj |
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- hin |
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- kan |
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- kas |
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- kok |
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- mai |
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- mal |
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- mar |
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- mni |
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- nep |
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- ori |
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- pan |
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- san |
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- sat |
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- sid |
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- snd |
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- tam |
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- tel |
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- urd |
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multilinguality: |
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- multilingual |
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pretty_name: Bhasha-Abhijnaanam |
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size_categories: [] |
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source_datasets: |
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- original |
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task_categories: |
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- text-generation |
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task_ids: [] |
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--- |
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# Dataset Card for Aksharantar |
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## Table of Contents |
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- [Table of Contents](#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:** |
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- **Repository:** https://github.com/AI4Bharat/IndicLID |
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- **Paper:** [Bhasha-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages](https://arxiv.org/abs/2305.15814) |
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- **Leaderboard:** |
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- **Point of Contact:** |
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### Dataset Summary |
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Bhasha-Abhijnaanam is a language identification test set for native-script as well as Romanized text which spans 22 Indic languages. |
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### Supported Tasks and Leaderboards |
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[More Information Needed] |
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### Languages |
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| <!-- --> | <!-- --> | <!-- --> | <!-- --> | <!-- --> | <!-- --> | |
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| -------------- | -------------- | -------------- | --------------- | -------------- | ------------- | |
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| Assamese (asm) | Hindi (hin) | Maithili (mai) | Nepali (nep) | Sanskrit (san) | Tamil (tam) | |
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| Bengali (ben) | Kannada (kan) | Malayalam (mal)| Oriya (ori) | Santali (sat) | Telugu (tel) | |
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| Bodo(brx) | Kashmiri (kas) | Manipuri (mni) | Punjabi (pan) | Sindhi (snd) | Urdu (urd) | |
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| Gujarati (guj) | Konkani (kok) | Marathi (mar) |
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## Dataset Structure |
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### Data Instances |
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``` |
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A random sample from Hindi (hin) Test dataset. |
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{ |
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"unique_identifier": "hin1", |
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"native sentence": "", |
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"romanized sentence": "", |
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"language": "Hindi", |
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"script": "Devanagari", |
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"source": "Dakshina", |
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} |
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``` |
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### Data Fields |
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- `unique_identifier` (string): 3-letter language code followed by a unique number in Test set. |
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- `native sentence` (string): A sentence in Indic language. |
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- `romanized sentence` (string): Transliteration of native sentence in English (Romanized sentence). |
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- `language` (string): Language of native sentence. |
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- `script` (string): Script in which native sentence is written. |
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- `source` (string): Source of the data. |
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For created data sources, depending on the destination/sampling method of a pair in a language, it will be one of: |
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- Dakshina Dataset |
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- Flores-200 |
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- Manually Romanized |
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- Manually generated |
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### Data Splits |
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| Subset | asm | ben | brx | guj | hin | kan | kas (Perso-Arabic) | kas (Devanagari) | kok | mai | mal | mni (Bengali) | mni (Meetei Mayek) | mar | nep | ori | pan | san | sid | tam | tel | urd | |
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|:------:|:---:|:---:|:---:|:---:|:---:|:---:|:------------------:|:----------------:|:---:|:---:|:---:|:-------------:|:------------------:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:| |
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| Native | 1012 | 5606 | 1500 | 5797 | 5617 | 5859 | 2511 | 1012 | 1500 | 2512 | 5628 | 1012 | 1500 | 5611 | 2512 | 1012 | 5776 | 2510 | 2512 | 5893 | 5779 | 5751 | 6883 | |
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| Romanized | 512 | 4595 | 433 | 4785 | 4606 | 4848 | 450 | 0 | 444 | 439 | 4617 | 0 | 442 | 4603 | 423 | 512 | 4765 | 448 | 0 | 4881 | 4767 | 4741 | 4371 | |
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## Dataset Creation |
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Information in the paper. [Bhasha-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages](https://arxiv.org/abs/2305.15814) |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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Information in the paper. [Bhasha-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages](https://arxiv.org/abs/2305.15814) |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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Information in the paper. [Bhasha-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages](https://arxiv.org/abs/2305.15814) |
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#### Who are the annotators? |
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Information in the paper. [Bhasha-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages](https://arxiv.org/abs/2305.15814) |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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<!-- <a rel="license" float="left" href="http://creativecommons.org/publicdomain/zero/1.0/"> |
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<img src="https://licensebuttons.net/p/zero/1.0/88x31.png" style="border-style: none;" alt="CC0" width="100" /> |
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<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/"/> |
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</a> |
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<br/> --> |
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This data is released under the following licensing scheme: |
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- Manually collected data: Released under CC0 license. |
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**CC0 License Statement** |
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<a rel="license" float="left" href="https://creativecommons.org/about/cclicenses/"> |
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<img src="https://licensebuttons.net/p/zero/1.0/88x31.png" style="border-style: none;" alt="CC0" width="100"/> |
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</a> |
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<br> |
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<br> |
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|
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- We do not own any of the text from which this data has been extracted. |
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- We license the actual packaging of manually collected data under the [Creative Commons CC0 license (“no rights reserved”)](http://creativecommons.org/publicdomain/zero/1.0). |
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- To the extent possible under law, <a rel="dct:publisher" href="https://indicnlp.ai4bharat.org/"> <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. |
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- This work is published from: India. |
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### Citation Information |
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``` |
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@misc{madhani2023bhashaabhijnaanam, |
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title={Bhasha-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages}, |
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author={Yash Madhani and Mitesh M. Khapra and Anoop Kunchukuttan}, |
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year={2023}, |
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eprint={2305.15814}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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### Contributions |
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|
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--- |
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|
