Duplicate from ai4bharat/Aksharantar

Co-authored-by: Satya <[email protected]>

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README.md

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+---
+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

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