Datasets:

r-three
/

tokenizer_robustness_completion_stem

license: cc
multilinguality: multilingual
task_categories:
  - multiple-choice
pretty_name: Tokenization Robustness
tags:
  - multilingual
  - tokenization
dataset_info:
  - config_name: tokenizer_robustness_completion_stem_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: 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: question_general_category
        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: 23517
        num_examples: 44
    download_size: 32406
    dataset_size: 23517
  - config_name: tokenizer_robustness_completion_stem_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: 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: question_general_category
        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
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          - 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:
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            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: 22723
        num_examples: 41
    download_size: 40680
    dataset_size: 22723
  - config_name: tokenizer_robustness_completion_stem_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: 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: question_general_category
        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
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          - 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
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          - name: tiktoken/gpt-4o
            dtype: float64
          - name: tokenmonster/englishcode-32000-consistent-v1
            dtype: float64
      - name: trimmed_cos_sim_to_canonical
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            dtype: float64
          - name: Qwen/Qwen3-8B
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          - 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
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          - name: mistralai/tekken
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          - name: tiktoken/gpt-4o
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          - name: tokenmonster/englishcode-32000-consistent-v1
            dtype: float64
      - name: token_counts
        struct:
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            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: 7820
        num_examples: 15
    download_size: 32313
    dataset_size: 7820
  - config_name: tokenizer_robustness_completion_stem_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: 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: question_general_category
        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:
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            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: 566
        num_examples: 1
    download_size: 27881
    dataset_size: 566
  - config_name: tokenizer_robustness_completion_stem_diacriticized_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: 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: question_general_category
        dtype: string
      - name: vanilla_cos_sim_to_canonical
        struct:
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            dtype: float64
          - name: Qwen/Qwen3-8B
            dtype: float64
          - name: bigscience/bloom
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          - 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
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          - name: meta-llama/Llama-3.2-1B
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          - name: microsoft/Phi-3-mini-4k-instruct
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          - name: tiktoken/gpt-4o
            dtype: float64
          - name: tokenmonster/englishcode-32000-consistent-v1
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      - name: trimmed_cos_sim_to_canonical
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          - name: gpt2
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          - name: microsoft/Phi-3-mini-4k-instruct
            dtype: float64
          - name: mistralai/tekken
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          - name: tiktoken/gpt-4o
            dtype: float64
          - name: tokenmonster/englishcode-32000-consistent-v1
            dtype: float64
      - name: token_counts
        struct:
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            dtype: int64
          - name: Qwen/Qwen3-8B
            dtype: int64
          - name: bigscience/bloom
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          - 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: 32623
        num_examples: 55
    download_size: 33837
    dataset_size: 32623
  - config_name: tokenizer_robustness_completion_stem_double_struck
    features:
      - name: question
        dtype: string
      - name: choices
        list: string
      - name: answer
        dtype: int64
      - name: answer_label
        dtype: string
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      - name: subcategories
        dtype: string
      - name: lang
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        dtype: string
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        dtype: string
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        dtype: string
      - name: question_general_category
        dtype: string
      - name: vanilla_cos_sim_to_canonical
        struct:
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            dtype: float64
          - name: Qwen/Qwen3-8B
            dtype: float64
          - name: bigscience/bloom
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          - name: common-pile/comma-v0.1-1t
            dtype: float64
          - name: facebook/xglm-564M
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          - name: google-bert/bert-base-multilingual-cased
            dtype: float64
          - name: google/byt5-small
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          - name: google/gemma-2-2b
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          - name: gpt2
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          - name: meta-llama/Llama-3.2-1B
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          - name: microsoft/Phi-3-mini-4k-instruct
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          - name: mistralai/tekken
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          - name: tiktoken/gpt-4o
            dtype: float64
          - name: tokenmonster/englishcode-32000-consistent-v1
            dtype: float64
      - name: trimmed_cos_sim_to_canonical
        struct:
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            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: 11237
        num_examples: 18
    download_size: 31336
    dataset_size: 11237
  - config_name: tokenizer_robustness_completion_stem_enclosed_characters
    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: 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: question_general_category
        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: 25460
        num_examples: 42
    download_size: 32767
    dataset_size: 25460
configs:
  - config_name: tokenizer_robustness_completion_stem_canonical
    data_files:
      - split: test
        path: tokenizer_robustness_completion_stem_canonical/test-*
  - config_name: tokenizer_robustness_completion_stem_character_deletion
    data_files:
      - split: test
        path: tokenizer_robustness_completion_stem_character_deletion/test-*
  - config_name: tokenizer_robustness_completion_stem_colloquial
    data_files:
      - split: test
        path: tokenizer_robustness_completion_stem_colloquial/test-*
  - config_name: tokenizer_robustness_completion_stem_compounds
    data_files:
      - split: test
        path: tokenizer_robustness_completion_stem_compounds/test-*
  - config_name: tokenizer_robustness_completion_stem_diacriticized_styling
    data_files:
      - split: test
        path: tokenizer_robustness_completion_stem_diacriticized_styling/test-*
  - config_name: tokenizer_robustness_completion_stem_double_struck
    data_files:
      - split: test
        path: tokenizer_robustness_completion_stem_double_struck/test-*
  - config_name: tokenizer_robustness_completion_stem_enclosed_characters
    data_files:
      - split: test
        path: tokenizer_robustness_completion_stem_enclosed_characters/test-*
Dataset Card for Tokenization Robustness

A comprehensive evaluation dataset for testing robustness of different tokenization strategies.
Dataset Details

Dataset Description

This dataset evaluates how robust language models are to different tokenization strategies and edge cases. It includes text completion questions with multiple choice answers designed to test various aspects of tokenization handling.
Curated by: R3
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License: cc
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Uses

Direct Use

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Dataset Structure

The dataset contains multiple-choice questions with associated metadata about tokenization types and categories.
Dataset Creation

Curation Rationale

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Source Data

Data Collection and Processing

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Personal and Sensitive Information

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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.
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