--- license: cc multilinguality: multilingual task_categories: - multiple-choice pretty_name: Tokenization Robustness tags: - multilingual - tokenization dataset_info: - config_name: tokenizer_robustness_completion_chinese_canonical features: - name: question dtype: string - name: choices list: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: category dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string splits: - name: test num_bytes: 8225 num_examples: 40 download_size: 9396 dataset_size: 8225 - config_name: tokenizer_robustness_completion_chinese_code_language_script_switching features: - name: question dtype: string - name: choices list: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: category dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string splits: - name: test num_bytes: 8136 num_examples: 40 download_size: 8261 dataset_size: 8136 - config_name: tokenizer_robustness_completion_chinese_colloquial features: - name: question dtype: string - name: choices list: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: category dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string splits: - name: test num_bytes: 7442 num_examples: 39 download_size: 8111 dataset_size: 7442 - config_name: tokenizer_robustness_completion_chinese_equivalent_expressions features: - name: question dtype: string - name: choices list: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: category dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string splits: - name: test num_bytes: 7907 num_examples: 40 download_size: 8383 dataset_size: 7907 - config_name: tokenizer_robustness_completion_chinese_keyboard_proximity_errors features: - name: question dtype: string - name: choices list: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: category dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string splits: - name: test num_bytes: 7340 num_examples: 40 download_size: 8251 dataset_size: 7340 - config_name: tokenizer_robustness_completion_chinese_ocr_errors features: - name: question dtype: string - name: choices list: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: category dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string splits: - name: test num_bytes: 8441 num_examples: 40 download_size: 8307 dataset_size: 8441 - config_name: tokenizer_robustness_completion_chinese_optional_diacritics features: - name: question dtype: string - name: choices list: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: category dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string splits: - name: test num_bytes: 10200 num_examples: 40 download_size: 8835 dataset_size: 10200 - config_name: tokenizer_robustness_completion_chinese_partially_romanized features: - name: question dtype: string - name: choices list: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: category dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string splits: - name: test num_bytes: 7680 num_examples: 40 download_size: 8217 dataset_size: 7680 - config_name: tokenizer_robustness_completion_chinese_romanization features: - name: question dtype: string - name: choices list: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: category dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string splits: - name: test num_bytes: 7859 num_examples: 40 download_size: 8285 dataset_size: 7859 - config_name: tokenizer_robustness_completion_chinese_space_removal features: - name: question dtype: string - name: choices list: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: category dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string splits: - name: test num_bytes: 10554 num_examples: 40 download_size: 8618 dataset_size: 10554 - config_name: tokenizer_robustness_completion_chinese_spelled_out features: - name: question dtype: string - name: choices list: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: category dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string splits: - name: test num_bytes: 2583 num_examples: 13 download_size: 6308 dataset_size: 2583 - config_name: tokenizer_robustness_completion_chinese_traditional features: - name: question dtype: string - name: choices list: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: category dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string splits: - name: test num_bytes: 6125 num_examples: 33 download_size: 7768 dataset_size: 6125 configs: - config_name: tokenizer_robustness_completion_chinese_canonical data_files: - split: test path: tokenizer_robustness_completion_chinese_canonical/test-* - config_name: tokenizer_robustness_completion_chinese_code_language_script_switching data_files: - split: test path: tokenizer_robustness_completion_chinese_code_language_script_switching/test-* - config_name: tokenizer_robustness_completion_chinese_colloquial data_files: - split: test path: tokenizer_robustness_completion_chinese_colloquial/test-* - config_name: tokenizer_robustness_completion_chinese_equivalent_expressions data_files: - split: test path: tokenizer_robustness_completion_chinese_equivalent_expressions/test-* - config_name: tokenizer_robustness_completion_chinese_keyboard_proximity_errors data_files: - split: test path: tokenizer_robustness_completion_chinese_keyboard_proximity_errors/test-* - config_name: tokenizer_robustness_completion_chinese_ocr_errors data_files: - split: test path: tokenizer_robustness_completion_chinese_ocr_errors/test-* - config_name: tokenizer_robustness_completion_chinese_optional_diacritics data_files: - split: test path: tokenizer_robustness_completion_chinese_optional_diacritics/test-* - config_name: tokenizer_robustness_completion_chinese_partially_romanized data_files: - split: test path: tokenizer_robustness_completion_chinese_partially_romanized/test-* - config_name: tokenizer_robustness_completion_chinese_romanization data_files: - split: test path: tokenizer_robustness_completion_chinese_romanization/test-* - config_name: tokenizer_robustness_completion_chinese_space_removal data_files: - split: test path: tokenizer_robustness_completion_chinese_space_removal/test-* - config_name: tokenizer_robustness_completion_chinese_spelled_out data_files: - split: test path: tokenizer_robustness_completion_chinese_spelled_out/test-* - config_name: tokenizer_robustness_completion_chinese_traditional data_files: - split: test path: tokenizer_robustness_completion_chinese_traditional/test-* --- # Dataset Card for Tokenization Robustness A comprehensive evaluation dataset for testing robustness of different tokenization strategies. ## Dataset Details ### Dataset Description This dataset evaluates how robust language models are to different tokenization strategies and edge cases. It includes text completion questions with multiple choice answers designed to test various aspects of tokenization handling. - **Curated by:** R3 - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** cc ### Dataset Sources [optional] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses ### Direct Use [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Dataset Structure The dataset contains multiple-choice questions with associated metadata about tokenization types and categories. ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Data Collection and Processing [More Information Needed] #### Who are the source data producers? [More Information Needed] ### Annotations [optional] #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] #### Personal and Sensitive Information [More Information Needed] ## Bias, Risks, and Limitations The dataset focuses primarily on English text and may not generalize to other languages or tokenization schemes not covered in the evaluation. ### Recommendations Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]