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_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
splits:
- name: test
num_bytes: 8225
num_examples: 40
download_size: 9396
dataset_size: 8225
- 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: string
- name: variation_id
dtype: string
splits:
- name: test
num_bytes: 8136
num_examples: 40
download_size: 8261
dataset_size: 8136
- 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: string
- name: variation_id
dtype: string
splits:
- name: test
num_bytes: 7442
num_examples: 39
download_size: 8111
dataset_size: 7442
- 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: string
- name: variation_id
dtype: string
splits:
- name: test
num_bytes: 7907
num_examples: 40
download_size: 8383
dataset_size: 7907
- 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: string
- name: variation_id
dtype: string
splits:
- name: test
num_bytes: 7340
num_examples: 40
download_size: 8251
dataset_size: 7340
- config_name: tokenizer_robustness_completion_chinese_ocr_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: string
- name: variation_id
dtype: string
splits:
- name: test
num_bytes: 8441
num_examples: 40
download_size: 8307
dataset_size: 8441
- config_name: tokenizer_robustness_completion_chinese_optional_diacritics
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
splits:
- name: test
num_bytes: 10200
num_examples: 40
download_size: 8835
dataset_size: 10200
- config_name: tokenizer_robustness_completion_chinese_partially_romanized
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
splits:
- name: test
num_bytes: 7680
num_examples: 40
download_size: 8217
dataset_size: 7680
- config_name: tokenizer_robustness_completion_chinese_romanization
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
splits:
- name: test
num_bytes: 7859
num_examples: 40
download_size: 8285
dataset_size: 7859
configs:
- config_name: tokenizer_robustness_completion_chinese_canonical
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_canonical/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_equivalent_expressions
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_equivalent_expressions/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_ocr_errors
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_ocr_errors/test-*
- config_name: tokenizer_robustness_completion_chinese_optional_diacritics
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_optional_diacritics/test-*
- config_name: tokenizer_robustness_completion_chinese_partially_romanized
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_partially_romanized/test-*
- config_name: tokenizer_robustness_completion_chinese_romanization
data_files:
- split: test
path: tokenizer_robustness_completion_chinese_romanization/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]
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- Demo [optional]: [More Information Needed]
Uses
Direct Use
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Out-of-Scope 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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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
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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