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yashmadhani
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license: cc0-1.0
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---
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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:** [paper name](link)
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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 | 512 | 4785 | 4606 | 4848 | 450 | 0 | 444 | 439 | 4617 | 442 | 0 | 4603 | 423 | 512 | 4765 | 448 | 0 | 4881 | 4767 | 4741 | 4371 |
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## Dataset Creation
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Information in the paper. [paper name](link)
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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. [paper name](link)
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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. [paper name](link)
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#### Annotation process
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Information in the paper. [paper name](link)
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#### Who are the annotators?
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Information in the paper. [paper name](link)
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### Personal and Sensitive Information
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[More Information Needed]
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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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- 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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```
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### Contributions
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---
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