metadata
license: mit
multilinguality: multilingual
task_categories:
- multiple-choice
pretty_name: Tokenization Robustness
tags:
- multilingual
- tokenization
- robustness
dataset_info:
- config_name: tokenizer_robustness_completion_general_abbreviations
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path: tokenizer_robustness_completion_general_abbreviations/test-*
- config_name: tokenizer_robustness_completion_general_canonical
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path: tokenizer_robustness_completion_general_canonical/test-*
- config_name: tokenizer_robustness_completion_general_character_deletion
data_files:
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path: tokenizer_robustness_completion_general_character_deletion/test-*
- config_name: tokenizer_robustness_completion_general_currency_symbol
data_files:
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path: tokenizer_robustness_completion_general_currency_symbol/test-*
- config_name: tokenizer_robustness_completion_general_date_formats
data_files:
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path: tokenizer_robustness_completion_general_date_formats/test-*
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data_files:
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path: tokenizer_robustness_completion_general_unusual_formatting/test-*
language:
- en
size_categories:
- n<1K
Dataset Card for Tokenization Robustness
TokSuite Bonus Benchmarks (General Collection)
This is a bonus TokSuite dataset containing a small set of high-signal examples that highlight surface-form variations known to affect tokenization robustness. It includes canonical questions alongside perturbations such as abbreviations, character deletion, currency symbols, diverse date formats, and unusual formatting. These examples focus on tokenization challenges that commonly arise in real-world text, providing a compact complement to the main TokSuite benchmarks.
Additional Information
Dataset Curators
The dataset was curated by the TokSuite research team at R3.
Licensing Information
MIT License
Citation Information
If you use this dataset in your research, please cite the TokSuite paper:
@inproceedings{toksuite2026, title={TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior}, author={Altıntaş, Gül Sena and Ehghaghi, Malikeh and Lester, Brian and Liu, Fengyuan and Zhao, Wanru and Ciccone, Marco and Raffel, Colin}, booktitle={Preprint}, year={2026},, arxiv={https://arxiv.org/abs/2512.20757}, url={TBD} }
Paper: TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior
Contributions
This dataset is part of TokSuite, which includes:
- 14 language models with identical architectures but different tokenizers
- Multilingual benchmark datasets (English, Turkish, Italian, Farsi, Chinese)
- Comprehensive analysis of tokenization's impact on model behavior
Contact
For questions or issues related to this dataset, please refer to the TokSuite project or contact the authors of the paper.
Part of the TokSuite Project
Understanding Tokenization's Role in Language Model Behavior