Datasets:
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
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: 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:
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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: 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
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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:
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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
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dtype: float64
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- name: facebook/xglm-564M
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dtype: float64
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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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- name: Qwen/Qwen3-8B
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- name: microsoft/Phi-3-mini-4k-instruct
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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: category
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dtype: string
- name: id
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- name: set_id
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- name: variation_id
dtype: string
- name: vanilla_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: trimmed_cos_sim_to_canonical
struct:
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- 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: tiktoken/gpt-4o
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- name: tokenmonster/englishcode-32000-consistent-v1
dtype: float64
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struct:
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dtype: float64
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splits:
- name: test
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num_examples: 40
download_size: 40840
dataset_size: 22322
- config_name: tokenizer_robustness_completion_english_character_substitution
features:
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- name: choices
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splits:
- name: test
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num_examples: 16
download_size: 32517
dataset_size: 8942
- config_name: tokenizer_robustness_completion_english_colloquial
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dataset_size: 21121
- config_name: tokenizer_robustness_completion_english_compounds
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splits:
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download_size: 41503
dataset_size: 23104
- config_name: tokenizer_robustness_completion_english_inflections
features:
- name: question
dtype: string
- name: choices
list: string
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- name: set_id
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configs:
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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-*
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
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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
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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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