Datasets:

r-three
/

tokenizer_robustness_completion_general

license: cc
multilinguality: multilingual
task_categories:
  - multiple-choice
pretty_name: Tokenization Robustness
tags:
  - multilingual
  - tokenization
dataset_info:
  - config_name: tokenizer_robustness_completion_general_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: 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: 10169
        num_examples: 18
    download_size: 33425
    dataset_size: 10169
  - config_name: tokenizer_robustness_completion_general_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: 1122
        num_examples: 2
    download_size: 28358
    dataset_size: 1122
  - config_name: tokenizer_robustness_completion_general_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
            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: 4498
        num_examples: 8
    download_size: 30562
    dataset_size: 4498
  - config_name: tokenizer_robustness_completion_general_currency_symbol
    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: 8300
        num_examples: 15
    download_size: 32265
    dataset_size: 8300
  - config_name: tokenizer_robustness_completion_general_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: 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: 13058
        num_examples: 24
    download_size: 34371
    dataset_size: 13058
  - config_name: tokenizer_robustness_completion_general_unusual_formatting
    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: 580
        num_examples: 1
    download_size: 27964
    dataset_size: 580
configs:
  - config_name: tokenizer_robustness_completion_general_abbreviations
    data_files:
      - split: test
        path: tokenizer_robustness_completion_general_abbreviations/test-*
  - config_name: tokenizer_robustness_completion_general_canonical
    data_files:
      - split: test
        path: tokenizer_robustness_completion_general_canonical/test-*
  - config_name: tokenizer_robustness_completion_general_character_deletion
    data_files:
      - split: test
        path: tokenizer_robustness_completion_general_character_deletion/test-*
  - config_name: tokenizer_robustness_completion_general_currency_symbol
    data_files:
      - split: test
        path: tokenizer_robustness_completion_general_currency_symbol/test-*
  - config_name: tokenizer_robustness_completion_general_date_formats
    data_files:
      - split: test
        path: tokenizer_robustness_completion_general_date_formats/test-*
  - config_name: tokenizer_robustness_completion_general_unusual_formatting
    data_files:
      - split: test
        path: tokenizer_robustness_completion_general_unusual_formatting/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

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Source Data

Data Collection and Processing

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Annotation process

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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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