--- license: cc multilinguality: multilingual task_categories: - multiple-choice pretty_name: Tokenization Robustness tags: - multilingual - tokenization configs: - config_name: cannonical data_files: - split: dev path: cannonical/dev-* - config_name: morphological_challenges data_files: - split: tokenizer_robustness_morphological_challenges path: morphological_challenges/tokenizer_robustness_morphological_challenges-* - split: dev path: morphological_challenges/dev-* - config_name: named_entities data_files: - split: tokenizer_robustness_named_entities path: named_entities/tokenizer_robustness_named_entities-* - split: dev path: named_entities/dev-* - config_name: orthographic_variations data_files: - split: tokenizer_robustness_orthographic_variations path: orthographic_variations/tokenizer_robustness_orthographic_variations-* - split: dev path: orthographic_variations/dev-* - config_name: social_media_informal_text data_files: - split: tokenizer_robustness_social_media_informal_text path: social_media_informal_text/tokenizer_robustness_social_media_informal_text-* - split: dev path: social_media_informal_text/dev-* - config_name: structural_text_elements data_files: - split: tokenizer_robustness_structural_text_elements path: structural_text_elements/tokenizer_robustness_structural_text_elements-* - split: dev path: structural_text_elements/dev-* - config_name: temporal_expressions data_files: - split: tokenizer_robustness_temporal_expressions path: temporal_expressions/tokenizer_robustness_temporal_expressions-* - split: dev path: temporal_expressions/dev-* dataset_info: - config_name: cannonical features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: coding_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string splits: - name: dev num_bytes: 302 num_examples: 1 download_size: 5942 dataset_size: 302 - config_name: morphological_challenges features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: coding_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string - name: __index_level_0__ dtype: int64 splits: - name: tokenizer_robustness_morphological_challenges num_bytes: 16931 num_examples: 57 - name: dev num_bytes: 13554 num_examples: 44 download_size: 25727 dataset_size: 30485 - config_name: named_entities features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: coding_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string - name: __index_level_0__ dtype: int64 splits: - name: tokenizer_robustness_named_entities num_bytes: 13587 num_examples: 51 - name: dev num_bytes: 187 num_examples: 1 download_size: 17711 dataset_size: 13774 - config_name: orthographic_variations features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: coding_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string - name: __index_level_0__ dtype: int64 splits: - name: tokenizer_robustness_orthographic_variations num_bytes: 219 num_examples: 1 - name: dev num_bytes: 222 num_examples: 1 download_size: 12033 dataset_size: 441 - config_name: social_media_informal_text features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: coding_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string - name: __index_level_0__ dtype: int64 splits: - name: tokenizer_robustness_social_media_informal_text num_bytes: 13202 num_examples: 59 - name: dev num_bytes: 10168 num_examples: 47 download_size: 22875 dataset_size: 23370 - config_name: structural_text_elements features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: coding_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string - name: __index_level_0__ dtype: int64 splits: - name: tokenizer_robustness_structural_text_elements num_bytes: 8250 num_examples: 33 - name: dev num_bytes: 238 num_examples: 1 download_size: 17007 dataset_size: 8488 - config_name: temporal_expressions features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 - name: answer_label dtype: string - name: split dtype: string - name: subcategories dtype: string - name: lang dtype: string - name: second_lang dtype: string - name: coding_lang dtype: string - name: notes dtype: string - name: id dtype: string - name: set_id dtype: string - name: variation_id dtype: string - name: __index_level_0__ dtype: int64 splits: - name: tokenizer_robustness_temporal_expressions num_bytes: 4603 num_examples: 21 - name: dev num_bytes: 1306 num_examples: 6 download_size: 15229 dataset_size: 5909 --- # 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 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]