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Uploading tokenizer_robustness_completion_english_word_reordering subset
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metadata
license: cc
multilinguality: multilingual
task_categories:
  - multiple-choice
pretty_name: Tokenization Robustness
tags:
  - multilingual
  - tokenization
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
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          - name: facebook/xglm-564M
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          - name: google-bert/bert-base-multilingual-cased
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          - name: tiktoken/gpt-4o
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          - name: tokenmonster/englishcode-32000-consistent-v1
            dtype: float64
      - name: trimmed_cos_sim_to_canonical
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          - name: tiktoken/gpt-4o
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          - name: tokenmonster/englishcode-32000-consistent-v1
            dtype: float64
      - name: token_counts
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            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:
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        dtype: string
      - name: choices
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      - name: answer
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      - name: lang
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      - name: notes
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      - name: id
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      - name: set_id
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      - name: trimmed_cos_sim_to_canonical
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            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
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      - name: split
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      - name: subcategories
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      - name: lang
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      - name: notes
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    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
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      - name: answer
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      - name: answer_label
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      - name: lang
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      - name: token_counts
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            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
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    splits:
      - name: test
        num_bytes: 8942
        num_examples: 16
    download_size: 32517
    dataset_size: 8942
  - config_name: tokenizer_robustness_completion_english_colloquial
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    splits:
      - name: test
        num_bytes: 21121
        num_examples: 40
    download_size: 39755
    dataset_size: 21121
  - config_name: tokenizer_robustness_completion_english_compounds
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  - config_name: tokenizer_robustness_completion_english_date_formats
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  - config_name: tokenizer_robustness_completion_english_emoji_substitution
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  - config_name: tokenizer_robustness_completion_english_grammatical_errors
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  - config_name: tokenizer_robustness_completion_english_historical_spelling
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  - config_name: tokenizer_robustness_completion_english_homoglyphs
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  - config_name: tokenizer_robustness_completion_english_inflections
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  - config_name: tokenizer_robustness_completion_english_keyboard_proximity_errors
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  - config_name: tokenizer_robustness_completion_english_letter_repetition_for_emphasis
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  - config_name: tokenizer_robustness_completion_english_lowercase
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  - config_name: tokenizer_robustness_completion_english_macron_diacritic
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          - 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
            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: token_counts
        struct:
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            dtype: int64
          - name: Qwen/Qwen3-8B
            dtype: int64
          - name: bigscience/bloom
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          - name: facebook/xglm-564M
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          - name: gpt2
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          - name: microsoft/Phi-3-mini-4k-instruct
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          - 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
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      - name: subcategories
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      - name: category
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      - name: lang
        dtype: string
      - name: second_lang
        dtype: string
      - name: notes
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      - name: id
        dtype: string
      - name: set_id
        dtype: string
      - name: variation_id
        dtype: string
      - name: vanilla_cos_sim_to_canonical
        struct:
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          - name: Qwen/Qwen3-8B
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          - name: bigscience/bloom
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          - name: common-pile/comma-v0.1-1t
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          - name: facebook/xglm-564M
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          - name: google-bert/bert-base-multilingual-cased
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          - name: google/gemma-2-2b
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          - name: gpt2
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          - name: microsoft/Phi-3-mini-4k-instruct
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          - name: tokenmonster/englishcode-32000-consistent-v1
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          - name: Qwen/Qwen3-8B
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          - name: common-pile/comma-v0.1-1t
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          - name: facebook/xglm-564M
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          - name: google-bert/bert-base-multilingual-cased
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          - name: google/byt5-small
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          - name: gpt2
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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
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          - name: tokenmonster/englishcode-32000-consistent-v1
            dtype: float64
      - name: token_counts
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          - name: Qwen/Qwen3-8B
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          - name: bigscience/bloom
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          - name: common-pile/comma-v0.1-1t
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          - name: facebook/xglm-564M
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            dtype: int64
          - name: google/byt5-small
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          - name: google/gemma-2-2b
            dtype: int64
          - name: gpt2
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          - 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
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      - 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
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          - name: common-pile/comma-v0.1-1t
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          - name: facebook/xglm-564M
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          - name: google-bert/bert-base-multilingual-cased
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          - name: google/byt5-small
            dtype: float64
          - 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: common-pile/comma-v0.1-1t
            dtype: int64
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            dtype: int64
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            dtype: int64
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            dtype: int64
          - name: gpt2
            dtype: int64
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            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
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          - 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: trimmed_cos_sim_to_canonical
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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
            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: 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
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            dtype: int64
          - name: google/byt5-small
            dtype: int64
          - name: google/gemma-2-2b
            dtype: int64
          - name: gpt2
            dtype: int64
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            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:
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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: mistralai/tekken
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          - name: tokenmonster/englishcode-32000-consistent-v1
            dtype: float64
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            dtype: float64
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          - name: google/gemma-2-2b
            dtype: float64
          - name: gpt2
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            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
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            dtype: int64
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            dtype: int64
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            dtype: int64
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            dtype: int64
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            dtype: int64
          - name: gpt2
            dtype: int64
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            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-*

Dataset Card for Tokenization Robustness

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

Dataset Details

Dataset Description

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

  • Curated by: R3
  • Funded by [optional]: [More Information Needed]
  • Shared by [optional]: [More Information Needed]
  • Language(s) (NLP): [More Information Needed]
  • License: cc

Dataset Sources [optional]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Dataset Structure

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

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Data Collection and Processing

[More Information Needed]

Who are the source data producers?

[More Information Needed]

Annotations [optional]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Bias, Risks, and Limitations

The dataset focuses primarily on English text and may not generalize to other languages or tokenization schemes not covered in the evaluation.

Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

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