---
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
    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:
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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
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    - name: facebook/xglm-564M
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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: trimmed_cos_sim_to_canonical
    struct:
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      dtype: float64
    - 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
      dtype: float64
    - name: google/byt5-small
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    - 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
      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
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    - name: common-pile/comma-v0.1-1t
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    - 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
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      dtype: float64
    - 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/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
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    - name: tokenmonster/englishcode-32000-consistent-v1
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  - name: trimmed_cos_sim_to_canonical
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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: 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
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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
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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/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
      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
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  - name: split
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  - name: subcategories
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  - name: category
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  - name: lang
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  - 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
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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
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    - name: tokenmonster/englishcode-32000-consistent-v1
      dtype: float64
  - name: trimmed_cos_sim_to_canonical
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    - 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
      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
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    - name: tokenmonster/englishcode-32000-consistent-v1
      dtype: float64
  - name: token_counts
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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
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    - name: facebook/xglm-564M
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    - name: google-bert/bert-base-multilingual-cased
      dtype: int64
    - 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
      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
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  - name: split
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    - name: common-pile/comma-v0.1-1t
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    - name: tokenmonster/englishcode-32000-consistent-v1
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    - name: tiktoken/gpt-4o
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    - name: tokenmonster/englishcode-32000-consistent-v1
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  - name: token_counts
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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: int64
  splits:
  - name: test
    num_bytes: 8942
    num_examples: 16
  download_size: 32517
  dataset_size: 8942
- config_name: tokenizer_robustness_completion_english_colloquial
  features:
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  - name: choices
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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: 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/byt5-small
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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
      dtype: int64
    - name: mistralai/tekken
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    - 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:
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  - name: choices
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  - name: answer
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- config_name: tokenizer_robustness_completion_english_hyphenated_spelling
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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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configs:
- config_name: tokenizer_robustness_completion_english_abbreviations
  data_files:
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    path: tokenizer_robustness_completion_english_abbreviations/test-*
- config_name: tokenizer_robustness_completion_english_canonical
  data_files:
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    path: tokenizer_robustness_completion_english_canonical/test-*
- config_name: tokenizer_robustness_completion_english_capitalization
  data_files:
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    path: tokenizer_robustness_completion_english_capitalization/test-*
- config_name: tokenizer_robustness_completion_english_character_deletion
  data_files:
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    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:
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    path: tokenizer_robustness_completion_english_colloquial/test-*
- config_name: tokenizer_robustness_completion_english_compounds
  data_files:
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    path: tokenizer_robustness_completion_english_compounds/test-*
- config_name: tokenizer_robustness_completion_english_contractions
  data_files:
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    path: tokenizer_robustness_completion_english_contractions/test-*
- config_name: tokenizer_robustness_completion_english_date_formats
  data_files:
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    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-*
---

# Dataset Card for Tokenization Robustness

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

## Dataset Details

### Dataset Description

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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]

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- **Repository:** [More Information Needed]
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## Uses

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### Direct Use

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### Out-of-Scope Use

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## Dataset Structure

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

## Dataset Creation

### Curation Rationale

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### Source Data

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#### Data Collection and Processing

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#### Who are the source data producers?

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### Annotations [optional]

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#### Annotation process

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#### Who are the annotators?

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#### Personal and Sensitive Information

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## Bias, Risks, and Limitations

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

### Recommendations

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

## Citation [optional]

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## Glossary [optional]

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## Dataset Card Authors [optional]

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## Dataset Card Contact

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