--- license: mit multilinguality: multilingual task_categories: - multiple-choice pretty_name: Tokenization Robustness tags: - multilingual - tokenization - robustness dataset_info: - config_name: tokenizer_robustness_completion_english_abbreviations 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 19544 num_examples: 37 download_size: 36121 dataset_size: 19544 - config_name: tokenizer_robustness_completion_english_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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 21874 num_examples: 40 download_size: 32721 dataset_size: 21874 - config_name: tokenizer_robustness_completion_english_capitalization 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 21413 num_examples: 40 download_size: 40005 dataset_size: 21413 - config_name: tokenizer_robustness_completion_english_character_deletion 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 22322 num_examples: 40 download_size: 40840 dataset_size: 22322 - config_name: tokenizer_robustness_completion_english_character_substitution 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 8942 num_examples: 16 download_size: 32517 dataset_size: 8942 - config_name: tokenizer_robustness_completion_english_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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 21121 num_examples: 40 download_size: 39755 dataset_size: 21121 - config_name: tokenizer_robustness_completion_english_compounds 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 22635 num_examples: 42 download_size: 40728 dataset_size: 22635 - config_name: tokenizer_robustness_completion_english_contractions 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 21918 num_examples: 41 download_size: 38651 dataset_size: 21918 - config_name: tokenizer_robustness_completion_english_date_formats 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 9868 num_examples: 18 download_size: 32012 dataset_size: 9868 - config_name: tokenizer_robustness_completion_english_emoji_substitution 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 23967 num_examples: 44 download_size: 40562 dataset_size: 23967 - config_name: tokenizer_robustness_completion_english_grammatical_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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 21411 num_examples: 40 download_size: 39734 dataset_size: 21411 - config_name: tokenizer_robustness_completion_english_historical_spelling 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 21962 num_examples: 40 download_size: 40045 dataset_size: 21962 - config_name: tokenizer_robustness_completion_english_homoglyphs 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 22689 num_examples: 40 download_size: 39100 dataset_size: 22689 - config_name: tokenizer_robustness_completion_english_hyphenated_spelling 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 23104 num_examples: 40 download_size: 41503 dataset_size: 23104 - config_name: tokenizer_robustness_completion_english_inflections 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 7330 num_examples: 14 download_size: 31848 dataset_size: 7330 - config_name: tokenizer_robustness_completion_english_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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 21709 num_examples: 41 download_size: 39820 dataset_size: 21709 - config_name: tokenizer_robustness_completion_english_letter_repetition_for_emphasis 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 23047 num_examples: 41 download_size: 40349 dataset_size: 23047 - config_name: tokenizer_robustness_completion_english_lowercase 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 20307 num_examples: 38 download_size: 37855 dataset_size: 20307 - config_name: tokenizer_robustness_completion_english_macron_diacritic 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 25871 num_examples: 40 download_size: 42278 dataset_size: 25871 - config_name: tokenizer_robustness_completion_english_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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 22235 num_examples: 42 download_size: 40820 dataset_size: 22235 - config_name: tokenizer_robustness_completion_english_orthographic_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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 43643 num_examples: 80 download_size: 49627 dataset_size: 43643 - config_name: tokenizer_robustness_completion_english_scripted_text 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 27700 num_examples: 40 download_size: 42142 dataset_size: 27700 - config_name: tokenizer_robustness_completion_english_similar_words 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 42951 num_examples: 74 download_size: 47994 dataset_size: 42951 - config_name: tokenizer_robustness_completion_english_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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 20441 num_examples: 40 download_size: 39744 dataset_size: 20441 - config_name: tokenizer_robustness_completion_english_spaced_styling 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 23738 num_examples: 40 download_size: 41512 dataset_size: 23738 - config_name: tokenizer_robustness_completion_english_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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 8091 num_examples: 15 download_size: 30689 dataset_size: 8091 - config_name: tokenizer_robustness_completion_english_superscript_subscript_styling 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 25705 num_examples: 40 download_size: 41912 dataset_size: 25705 - config_name: tokenizer_robustness_completion_english_web_search_query 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 18991 num_examples: 37 download_size: 38294 dataset_size: 18991 - config_name: tokenizer_robustness_completion_english_word_reordering 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 - name: vanilla_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: trimmed_cos_sim_to_canonical struct: - name: CohereLabs/aya-expanse-8b dtype: float64 - name: Qwen/Qwen3-8B dtype: float64 - name: bigscience/bloom dtype: float64 - name: common-pile/comma-v0.1-1t dtype: float64 - name: facebook/xglm-564M dtype: float64 - name: google-bert/bert-base-multilingual-cased dtype: float64 - name: google/byt5-small dtype: float64 - name: google/gemma-2-2b dtype: float64 - name: gpt2 dtype: float64 - name: meta-llama/Llama-3.2-1B dtype: float64 - name: microsoft/Phi-3-mini-4k-instruct dtype: float64 - name: mistralai/tekken dtype: float64 - name: tiktoken/gpt-4o dtype: float64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: float64 - name: token_counts struct: - name: CohereLabs/aya-expanse-8b dtype: int64 - name: Qwen/Qwen3-8B dtype: int64 - name: bigscience/bloom dtype: int64 - name: common-pile/comma-v0.1-1t dtype: int64 - name: facebook/xglm-564M dtype: int64 - name: google-bert/bert-base-multilingual-cased dtype: int64 - name: google/byt5-small dtype: int64 - name: google/gemma-2-2b dtype: int64 - name: gpt2 dtype: int64 - name: meta-llama/Llama-3.2-1B dtype: int64 - name: microsoft/Phi-3-mini-4k-instruct dtype: int64 - name: mistralai/tekken dtype: int64 - name: tiktoken/gpt-4o dtype: int64 - name: tokenmonster/englishcode-32000-consistent-v1 dtype: int64 splits: - name: test num_bytes: 21498 num_examples: 40 download_size: 39384 dataset_size: 21498 configs: - config_name: tokenizer_robustness_completion_english_abbreviations data_files: - split: test path: tokenizer_robustness_completion_english_abbreviations/test-* - config_name: tokenizer_robustness_completion_english_canonical data_files: - split: test path: tokenizer_robustness_completion_english_canonical/test-* - config_name: tokenizer_robustness_completion_english_capitalization data_files: - split: test path: tokenizer_robustness_completion_english_capitalization/test-* - config_name: tokenizer_robustness_completion_english_character_deletion data_files: - split: test path: tokenizer_robustness_completion_english_character_deletion/test-* - config_name: tokenizer_robustness_completion_english_character_substitution data_files: - split: test path: tokenizer_robustness_completion_english_character_substitution/test-* - config_name: tokenizer_robustness_completion_english_colloquial data_files: - split: test path: tokenizer_robustness_completion_english_colloquial/test-* - config_name: tokenizer_robustness_completion_english_compounds data_files: - split: test path: tokenizer_robustness_completion_english_compounds/test-* - config_name: tokenizer_robustness_completion_english_contractions data_files: - split: test path: tokenizer_robustness_completion_english_contractions/test-* - config_name: tokenizer_robustness_completion_english_date_formats data_files: - split: test path: tokenizer_robustness_completion_english_date_formats/test-* - config_name: tokenizer_robustness_completion_english_emoji_substitution data_files: - split: test path: tokenizer_robustness_completion_english_emoji_substitution/test-* - config_name: tokenizer_robustness_completion_english_grammatical_errors data_files: - split: test path: tokenizer_robustness_completion_english_grammatical_errors/test-* - config_name: tokenizer_robustness_completion_english_historical_spelling data_files: - split: test path: tokenizer_robustness_completion_english_historical_spelling/test-* - config_name: tokenizer_robustness_completion_english_homoglyphs data_files: - split: test path: tokenizer_robustness_completion_english_homoglyphs/test-* - config_name: tokenizer_robustness_completion_english_hyphenated_spelling data_files: - split: test path: tokenizer_robustness_completion_english_hyphenated_spelling/test-* - config_name: tokenizer_robustness_completion_english_inflections data_files: - split: test path: tokenizer_robustness_completion_english_inflections/test-* - config_name: tokenizer_robustness_completion_english_keyboard_proximity_errors data_files: - split: test path: tokenizer_robustness_completion_english_keyboard_proximity_errors/test-* - config_name: tokenizer_robustness_completion_english_letter_repetition_for_emphasis data_files: - split: test path: >- tokenizer_robustness_completion_english_letter_repetition_for_emphasis/test-* - config_name: tokenizer_robustness_completion_english_lowercase data_files: - split: test path: tokenizer_robustness_completion_english_lowercase/test-* - config_name: tokenizer_robustness_completion_english_macron_diacritic data_files: - split: test path: tokenizer_robustness_completion_english_macron_diacritic/test-* - config_name: tokenizer_robustness_completion_english_ocr_errors data_files: - split: test path: tokenizer_robustness_completion_english_ocr_errors/test-* - config_name: tokenizer_robustness_completion_english_orthographic_errors data_files: - split: test path: tokenizer_robustness_completion_english_orthographic_errors/test-* - config_name: tokenizer_robustness_completion_english_scripted_text data_files: - split: test path: tokenizer_robustness_completion_english_scripted_text/test-* - config_name: tokenizer_robustness_completion_english_similar_words data_files: - split: test path: tokenizer_robustness_completion_english_similar_words/test-* - config_name: tokenizer_robustness_completion_english_space_removal data_files: - split: test path: tokenizer_robustness_completion_english_space_removal/test-* - config_name: tokenizer_robustness_completion_english_spaced_styling data_files: - split: test path: tokenizer_robustness_completion_english_spaced_styling/test-* - config_name: tokenizer_robustness_completion_english_spelled_out data_files: - split: test path: tokenizer_robustness_completion_english_spelled_out/test-* - config_name: tokenizer_robustness_completion_english_superscript_subscript_styling data_files: - split: test path: >- tokenizer_robustness_completion_english_superscript_subscript_styling/test-* - config_name: tokenizer_robustness_completion_english_web_search_query data_files: - split: test path: tokenizer_robustness_completion_english_web_search_query/test-* - config_name: tokenizer_robustness_completion_english_word_reordering data_files: - split: test path: tokenizer_robustness_completion_english_word_reordering/test-* language: - en size_categories: - n<1K --- # Dataset Card for Tokenization Robustness TokSuite Logo # TokSuite Benchmark (English Collection) ## Dataset Description This dataset is part of **TokSuite**, a comprehensive benchmark designed to measure how different tokenization strategies affect language model performance and robustness in isolation. This specific collection contains **English multiple-choice text completion questions** paired with a wide range of **real-world surface-form perturbations** that are known to interact strongly with tokenization. - **Curated by:** R3 Research Team - **Language(s):** English (`en`) - **License:** MIT License ### Dataset Summary TokSuite addresses a core challenge in language model research: isolating and measuring the impact of **tokenizer choice** on model behavior. The English collection serves as the **reference and anchor language** for TokSuite, providing a high-resource baseline with diverse perturbations that generalize across domains and writing styles. **Key Features:** - 40 canonical English questions with high baseline accuracy - Extensive perturbation coverage spanning typography, formatting, morphology, noise, and stylistic variation - Parallel structure with TokSuite benchmarks in Turkish, Italian, Farsi, and Chinese - Controlled design enabling clean measurement of performance degradation under perturbations ### Supported Tasks - **Multiple-Choice Question Answering**: Text completion with four answer options - **Tokenizer Robustness Evaluation**: Measuring accuracy drop under token-altering perturbations - **Benchmarking Tokenization Effects**: Isolating tokenizer behavior independent of model architecture or scale ### Languages The dataset contains text exclusively in **English** (language code: `en`). --- ## Dataset Structure ### Data Fields | Field | Type | Description | |------|------|-------------| | `question` | `string` | The question text in English | | `choices` | `list[string]` | Four multiple-choice answer options | | `answer` | `int64` | Index of the correct answer | | `answer_label` | `string` | Letter label of the correct answer | | `split` | `string` | Dataset split identifier | | `subcategories` | `string` | Perturbation category | | `lang` | `string` | Language code (`en`) | | `second_lang` | `string` | Optional paraphrase or descriptive reference | | `notes` | `string` | Additional context about the perturbation | | `id` | `string` | Unique question identifier | | `set_id` | `float64` | Question set grouping identifier | | `variation_id` | `float64` | Variation number within a question set | | `vanilla_cos_sim_to_canonical` | `dict[string, float]` | Cosine similarity to canonical form (raw tokens) | | `trimmed_cos_sim_to_canonical` | `dict[string, float]` | Cosine similarity after token normalization | | `token_counts` | `dict[string, integer]` | Token counts per tokenizer | --- ## Dataset Creation ### Curation Rationale The English benchmark was created to: 1. Serve as a **high-resource reference language** for tokenizer robustness studies 2. Systematically probe tokenizer sensitivity to formatting, noise, and stylistic variation 3. Enable controlled comparisons across tokenizers under identical model conditions 4. Provide a reusable evaluation suite for studying tokenization effects in isolation All canonical questions are intentionally simple, ensuring high baseline accuracy so that observed performance changes are attributable to perturbations rather than reasoning difficulty. ### Source Data #### Data Collection and Processing - **Canonical Questions:** 40 English questions authored by the TokSuite team - **Perturbations:** Targeted surface-form transformations applied per question - **Validation:** Model-in-the-loop verification to ensure canonical solvability --- ## Perturbation Categories (English) Each perturbation represents a distinct, realistic transformation of English text that can alter token boundaries or distributions. 1. **Canonical** Standard, grammatically correct English text with no perturbations. Serves as the reference condition. 2. **Abbreviations** Introduces common English abbreviations and shortened forms (e.g., `Dr.`, `etc.`, `vs.`). 3. **Capitalization** Alters casing patterns through random capitalization, lowercasing, or mixed case. 4. **Character Deletion** Removes characters within words, simulating typing omissions. 5. **Character Substitution** Replaces characters with visually or keyboard-adjacent alternatives. 6. **Colloquial** Applies informal spoken English forms and casual phrasing. 7. **Compounds** Merges multi-word expressions into compound forms (e.g., `notebook` vs. `note book`). 8. **Contractions** Uses contracted forms such as `don’t`, `it’s`, and `they’re`. 9. **Date Formats** Varies date representations (e.g., `March 12, 2022`, `12/03/22`, `2022-03-12`). 10. **Emoji Substitution** Replaces words with semantically related emojis. 11. **Grammatical Errors** Injects plausible agreement, tense, or syntactic errors. 12. **Historical Spelling** Uses archaic or historical English spellings. 13. **Homoglyphs** Substitutes characters with visually similar Unicode glyphs. 14. **Hyphenated Spelling** Introduces or removes hyphens in compound words. 15. **Inflections** Alters tense, plurality, or derivational morphology. 16. **Keyboard Proximity Errors** Simulates typos from adjacent keyboard keys. 17. **Letter Repetition for Emphasis** Repeats letters for expressive emphasis (e.g., `soooo`). 18. **Lowercase** Converts all text to lowercase. 19. **Macron / Diacritic Styling** Adds diacritics uncommon in modern English. 20. **OCR Errors** Introduces character confusions typical of optical character recognition. 21. **Orthographic Errors** Applies plausible spelling mistakes. 22. **Scripted Text** Uses decorative or stylized Unicode script characters. 23. **Similar Words** Substitutes near-synonyms or easily confusable words. 24. **Space Removal** Removes spaces between words. 25. **Spaced Styling** Inserts extra spacing between characters or words. 26. **Spelled-Out Forms** Replaces numerals or symbols with fully spelled-out equivalents. 27. **Superscript / Subscript Styling** Uses Unicode superscripts or subscripts. 28. **Web Search Query** Rewrites questions in keyword-heavy search-engine style. 29. **Word Reordering** Alters word order while preserving overall meaning. --- ## Annotations ### Annotation Process All canonical questions and perturbations were manually created and reviewed by the TokSuite team. Perturbations were designed to reflect **realistic surface-form variations** encountered in English text processing. ### Annotators Researchers and contributors involved in the TokSuite project with expertise in NLP and tokenizer behavior. --- ## Personal and Sensitive Information The dataset contains **no personal, sensitive, or identifying information**. All questions are general-knowledge based. --- ## Considerations for Using the Data ### Social Impact This dataset supports research into more robust and equitable language technologies by highlighting how tokenization choices affect model behavior, even in high-resource languages like English. ### Biases and Limitations - Focuses on Standard English - Evaluation-only dataset with limited size - Multiple-choice format - Does not cover domain-specific or conversational tasks --- ## Additional Information ### Dataset Curators TokSuite Research Team (R3). ### Licensing MIT License. ### Citation If you use this dataset, please cite the TokSuite paper: ```bibtex @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](TBD) ### 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](TBD)** *Understanding Tokenization's Role in Language Model Behavior*