--- license: cc multilinguality: multilingual task_categories: - multiple-choice pretty_name: Tokenization Robustness tags: - multilingual - tokenization dataset_info: - config_name: code_technical_content 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: __index_level_0__ dtype: int64 splits: - name: dev num_bytes: 438 num_examples: 2 - name: test num_bytes: 5895 num_examples: 27 download_size: 12626 dataset_size: 6333 - config_name: multi-linguality 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 splits: - name: test num_bytes: 17975 num_examples: 87 download_size: 10122 dataset_size: 17975 - 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 splits: - name: test num_bytes: 18991 num_examples: 102 download_size: 10495 dataset_size: 18991 - 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 splits: - name: test num_bytes: 4675 num_examples: 25 download_size: 6540 dataset_size: 4675 configs: - config_name: code_technical_content data_files: - split: dev path: code_technical_content/dev-* - split: test path: code_technical_content/test-* - config_name: multi-linguality data_files: - split: test path: multi-linguality/test-* - config_name: social_media_informal_text data_files: - split: test path: social_media_informal_text/test-* - config_name: temporal_expressions data_files: - split: test path: temporal_expressions/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 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]