Datasets:
metadata
license: cc
multilinguality: multilingual
task_categories:
- multiple-choice
pretty_name: Tokenization Robustness
tags:
- multilingual
- tokenization
dataset_info:
- config_name: tokenizer_robustness_completion_chinese_borrowing
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: float64
- name: variation_id
dtype: float64
splits:
- name: test
num_bytes: 350
num_examples: 2
download_size: 5563
dataset_size: 350
- config_name: tokenizer_robustness_completion_chinese_cannonical
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: float64
- name: variation_id
dtype: float64
splits:
- name: test
num_bytes: 7872
num_examples: 40
download_size: 9498
dataset_size: 7872
- config_name: >-
tokenizer_robustness_completion_chinese_chinese-character-selection-proximity_error
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: float64
- name: variation_id
dtype: float64
splits:
- name: test
num_bytes: 2086
num_examples: 11
download_size: 6348
dataset_size: 2086
- config_name: tokenizer_robustness_completion_chinese_classifier_addition
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: float64
- name: variation_id
dtype: float64
splits:
- name: test
num_bytes: 152
num_examples: 1
download_size: 5438
dataset_size: 152
- config_name: tokenizer_robustness_completion_chinese_classifier_variations
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: float64
- name: variation_id
dtype: float64
splits:
- name: test
num_bytes: 137
num_examples: 1
download_size: 5387
dataset_size: 137
- config_name: tokenizer_robustness_completion_chinese_code_language_script_switching
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: float64
- name: variation_id
dtype: float64
splits:
- name: test
num_bytes: 6889
num_examples: 38
download_size: 8204
dataset_size: 6889
- config_name: tokenizer_robustness_completion_chinese_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: category
dtype: string
- name: lang
dtype: string
- name: second_lang
dtype: string
- name: notes
dtype: string
- name: id
dtype: string
- name: set_id
dtype: float64
- name: variation_id
dtype: float64
splits:
- name: test
num_bytes: 2159
num_examples: 11
download_size: 6564
dataset_size: 2159
- config_name: tokenizer_robustness_completion_chinese_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: category
dtype: string
- name: lang
dtype: string
- name: second_lang
dtype: string
- name: notes
dtype: string
- name: id
dtype: string
- name: set_id
dtype: float64
- name: variation_id
dtype: float64
splits:
- name: test
num_bytes: 947
num_examples: 3
download_size: 6322
dataset_size: 947
- config_name: tokenizer_robustness_completion_chinese_cultural_references
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: float64
- name: variation_id
dtype: float64
splits:
- name: test
num_bytes: 472
num_examples: 3
download_size: 5617
dataset_size: 472
- config_name: tokenizer_robustness_completion_chinese_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: category
dtype: string
- name: lang
dtype: string
- name: second_lang
dtype: string
- name: notes
dtype: string
- name: id
dtype: string
- name: set_id
dtype: float64
- name: variation_id
dtype: float64
splits:
- name: test
num_bytes: 386
num_examples: 2
download_size: 5588
dataset_size: 386
- config_name: tokenizer_robustness_completion_chinese_equivalent_expressions
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: float64
- name: variation_id
dtype: float64
splits:
- name: test
num_bytes: 1920
num_examples: 11
download_size: 6441
dataset_size: 1920
- config_name: tokenizer_robustness_completion_chinese_homoglyphs
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: float64
- name: variation_id
dtype: float64
splits:
- name: test
num_bytes: 4251
num_examples: 24
download_size: 7378
dataset_size: 4251
- config_name: tokenizer_robustness_completion_chinese_keyboard_proximity_errors
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: float64
- name: variation_id
dtype: float64
splits:
- name: test
num_bytes: 4339
num_examples: 25
download_size: 7358
dataset_size: 4339
- config_name: tokenizer_robustness_completion_chinese_numerical_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: category
dtype: string
- name: lang
dtype: string
- name: second_lang
dtype: string
- name: notes
dtype: string
- name: id
dtype: string
- name: set_id
dtype: float64
- name: variation_id
dtype: float64
splits:
- name: test
num_bytes: 1104
num_examples: 7
download_size: 5945
dataset_size: 1104
configs:
- config_name: tokenizer_robustness_completion_chinese_borrowing
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_borrowing/test-*
- config_name: tokenizer_robustness_completion_chinese_cannonical
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_cannonical/test-*
- config_name: >-
tokenizer_robustness_completion_chinese_chinese-character-selection-proximity_error
data_files:
- split: test
path: >-
tokenizer_robustness_completion_chinese_chinese-character-selection-proximity_error/test-*
- config_name: tokenizer_robustness_completion_chinese_classifier_addition
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_classifier_addition/test-*
- config_name: tokenizer_robustness_completion_chinese_classifier_variations
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_classifier_variations/test-*
- config_name: tokenizer_robustness_completion_chinese_code_language_script_switching
data_files:
- split: test
path: >-
tokenizer_robustness_completion_chinese_code_language_script_switching/test-*
- config_name: tokenizer_robustness_completion_chinese_colloquial
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_colloquial/test-*
- config_name: tokenizer_robustness_completion_chinese_compounds
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_compounds/test-*
- config_name: tokenizer_robustness_completion_chinese_cultural_references
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_cultural_references/test-*
- config_name: tokenizer_robustness_completion_chinese_date_formats
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_date_formats/test-*
- config_name: tokenizer_robustness_completion_chinese_equivalent_expressions
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_equivalent_expressions/test-*
- config_name: tokenizer_robustness_completion_chinese_homoglyphs
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_homoglyphs/test-*
- config_name: tokenizer_robustness_completion_chinese_keyboard_proximity_errors
data_files:
- split: test
path: >-
tokenizer_robustness_completion_chinese_keyboard_proximity_errors/test-*
- config_name: tokenizer_robustness_completion_chinese_numerical_formats
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_numerical_formats/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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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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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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