| --- |
| dataset_info: |
| - config_name: portuguese |
| features: |
| - name: text |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 21307799396 |
| num_examples: 2000000 |
| download_size: 7981082403 |
| dataset_size: 21307799396 |
| - config_name: bengali |
| features: |
| - name: text |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 13222913829 |
| num_examples: 2000000 |
| download_size: 3804453185 |
| dataset_size: 13222913829 |
| - config_name: code |
| features: |
| - name: text |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 6854288242 |
| num_examples: 975000 |
| download_size: 2194755063 |
| dataset_size: 6854288242 |
| - config_name: english |
| features: |
| - name: text |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 15670768606 |
| num_examples: 2000000 |
| download_size: 5700592325 |
| dataset_size: 15670768606 |
| - config_name: hindi |
| features: |
| - name: text |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 22579216927 |
| num_examples: 2000000 |
| download_size: 6194810350 |
| dataset_size: 22579216927 |
| configs: |
| - config_name: portuguese |
| data_files: |
| - split: train |
| path: portuguese/train-* |
| - config_name: bengali |
| data_files: |
| - split: train |
| path: bengali/train-* |
| - config_name: code |
| data_files: |
| - split: train |
| path: code/train-* |
| - config_name: english |
| default: true |
| data_files: |
| - split: train |
| path: english/train-* |
| - config_name: hindi |
| data_files: |
| - split: train |
| path: hindi/train-* |
| language: |
| - hi |
| - bn |
| - en |
| - pt |
| license: other |
| task_categories: |
| - text-generation |
| tags: |
| - tokenizer |
| - tokenization |
| - english |
| - code |
| - bengali |
| - hindi |
| - portuguese |
| pretty_name: Polygl0t tokenizers |
| size_categories: |
| - 1M<n<10M |
| --- |
| # Polygl0t Tokenizers |
|
|
| ## 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) |
| - [Subsets and Splits](#subsets-and-splits) |
| - [Dataset Creation](#dataset-creation) |
| - [Source Data](#source-data) |
| - [Additional Information](#additional-information) |
| - [Dataset Maintainers](#dataset-maintainers) |
| - [Licensing Information](#licensing-information) |
| - [Citation Information](#citation-information) |
| - [Acknowledgments](#acknowledgments) |
| - [Contributions](#contributions) |
|
|
| ## Dataset Description |
|
|
| - **Homepage:** https://huggingface.co/datasets/Polygl0t/tokenizers |
| - **Repository:** https://huggingface.co/datasets/Polygl0t/tokenizers |
| - **Point of Contact:** [Polyg0t](mailto:kluge@uni-bonn.de) |
|
|
| ### Dataset Summary |
|
|
| This dataset contains several subsets for training multilingual tokenizers. Every subset possesses a collection of curated text samples in different languages. |
|
|
| ### Supported Tasks and Leaderboards |
|
|
| This dataset can be used for the task of text generation, specifically for training and evaluating tokenizers in multiple languages. |
|
|
| ### Languages |
|
|
| Hindi, Bengali, English, Portuguese, and Code (a mixture of 36 programming languages). |
|
|
| <details> |
| <summary><b>All programming languages</b></summary> |
| <code> |
| fortran, jupyter, cpp, solidity, python, cmake, assembly, ruby, perl, lua, typescript, c, java, html, powershell, php, haskell, shell, scala, sql, visual_basic, ada, julia, markdown, batchfile, rust, cuda, json, kotlin, go, r, javascript, pascal, yaml, css, c_sharp |
| </code> |
| </details> |
|
|
| ## Dataset Structure |
|
|
| ### Data Instances |
|
|
| The dataset consists of the following features: |
|
|
| - **text:** a string of text in the respective language of the subset. |
|
|
| ### Data Fields |
|
|
| ```json |
| { |
| "text": "Olá, como vai você?" |
| } |
| ``` |
|
|
| ### Subsets and Splits |
|
|
| The dataset includes the following subsets: |
|
|
| - **Portuguese:** This subset contains 2,000,000 text samples in Portuguese. |
| - **Hindi:** This subset contains 2,000,000 text samples in Hindi. |
| - **Bengali:** This subset contains 2,000,000 text samples in Bengali |
| - **English:** This subset contains 2,000,000 text samples in English. |
| - **Code:** This subset contains 975,000 text samples in various programming languages. |
|
|
| The `txt` files (e.g., [`hindi_test.txt`](hindi_test.txt)) are for testing/evaluation purposes. |
|
|
| ### Dataset Creation |
|
|
| ### Source Data |
|
|
| - **Bengali:** The Bengali text samples were sourced from [Polygl0t/gigakriya-v1](https://huggingface.co/datasets/Polygl0t/gigakriya-v1). |
| - **English:** The English text samples were sourced from [HuggingFaceFW/fineweb-edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu). |
| - **Hindi:** The Hindi text samples were sourced from [Polygl0t/gigalekh-v1](https://huggingface.co/datasets/Polygl0t/gigalekh-v1). |
| - **Portuguese:** The Portuguese text samples were sourced from [Polygl0t/gigaverbo-v2](https://huggingface.co/datasets/Polygl0t/gigaverbo-v2). |
| - **Code:** The code samples were sourced from [bigcode/starcoderdata](https://huggingface.co/datasets/bigcode/starcoderdata). |
|
|
| ## Additional Information |
|
|
| ### Dataset Maintainers |
|
|
| - [Nicholas Kluge Corrêa](mailto:kluge@uni-bonn.de). |
| - [Shiza Fatimah](mailto:shizafatimah15@gmail.com). |
| - [Aniket Sen](mailto:sen@hiskp.uni-bonn.de). |
|
|
| ### Licensing Information |
|
|
| Please refer to the individual licenses of the source datasets used to create this corpus, as listed in the "Source Data" section above. The combined dataset does not have a single unified license, and users should ensure compliance with the terms of each source dataset when utilizing this corpus. |
|
|
| ### Citation Information |
|
|
| ```latex |
| @misc{correa2026tucano2cool, |
| title={{Tucano 2 Cool: Better Open Source LLMs for Portuguese}}, |
| author={Nicholas Kluge Corr{\^e}a and Aniket Sen and Shiza Fatimah and Sophia Falk and Lennard Landgraf and Julia Kastner and Lucie Flek}, |
| year={2026}, |
| eprint={2603.03543}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL}, |
| url={https://arxiv.org/abs/2603.03543}, |
| } |
| |
| @misc{shiza2026lilmoo, |
| title={{Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi}}, |
| author={Shiza Fatimah and Aniket Sen and Sophia Falk and Florian Mai and Lucie Flek and Nicholas Kluge Corr{\^e}a}, |
| year={2026}, |
| eprint={2603.03508}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL}, |
| url={https://arxiv.org/abs/2603.03508}, |
| } |
| |
| @misc{fatimah2026liltii, |
| title={{LilTii: A 0.6B Bengali Language Model that Outperforms Qwen}}, |
| author={Shiza Fatimah and Aniket Sen and Sophia Falk and Florian Mai and Lucie Flek and Nicholas Kluge Corr{\^e}a}, |
| year={2026}, |
| howpublished={\url{https://hf.co/blog/Polygl0t/liltii}} |
| } |
| ``` |
|
|
| ### Acknowledgments |
|
|
| Polyglot is a project funded by the Federal Ministry of Education and Research (BMBF) and the Ministry of Culture and Science of the State of North Rhine-Westphalia (MWK) as part of TRA Sustainable Futures (University of Bonn) and the Excellence Strategy of the federal and state governments. |
|
|
| We also gratefully acknowledge the granted access to the [Marvin cluster](https://www.hpc.uni-bonn.de/en/systems/marvin) hosted by [University of Bonn](https://www.uni-bonn.de/en) along with the support provided by its High Performance Computing & Analytics Lab. |
|
|
|
|
| ### Contributions |
|
|
| If you want to contribute, contact us at [polyglot@uni-bonn.de](mailto:polyglot@uni-bonn.de)! |
