Datasets:
license: cc
multilinguality: multilingual
task_categories:
- multiple-choice
pretty_name: Tokenization Robustness
tags:
- multilingual
- tokenization
dataset_info:
- config_name: code_technical_content_buggy_code
features:
- name: question
dtype: string
- name: choices
sequence: 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: coding_lang
dtype: string
- name: notes
dtype: string
- name: id
dtype: string
- name: set_id
dtype: float64
- name: variation_id
dtype: string
splits:
- name: test
num_bytes: 7633
num_examples: 21
download_size: 8410
dataset_size: 7633
- config_name: code_technical_content_cannonical
features:
- name: question
dtype: string
- name: choices
sequence: 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: coding_lang
dtype: string
- name: notes
dtype: string
- name: id
dtype: string
- name: set_id
dtype: float64
- name: variation_id
dtype: string
splits:
- name: test
num_bytes: 1632
num_examples: 5
download_size: 6961
dataset_size: 1632
- config_name: code_technical_content_comments_across_languages
features:
- name: question
dtype: string
- name: choices
sequence: 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: coding_lang
dtype: string
- name: notes
dtype: string
- name: id
dtype: string
- name: set_id
dtype: float64
- name: variation_id
dtype: string
splits:
- name: test
num_bytes: 6024
num_examples: 15
download_size: 7966
dataset_size: 6024
- config_name: code_technical_content_string_literals
features:
- name: question
dtype: string
- name: choices
sequence: 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: coding_lang
dtype: string
- name: notes
dtype: string
- name: id
dtype: string
- name: set_id
dtype: float64
- name: variation_id
dtype: string
splits:
- name: test
num_bytes: 3557
num_examples: 10
download_size: 6997
dataset_size: 3557
- config_name: code_technical_content_syntax_and_punctuation_variations
features:
- name: question
dtype: string
- name: choices
sequence: 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: coding_lang
dtype: string
- name: notes
dtype: string
- name: id
dtype: string
- name: set_id
dtype: float64
- name: variation_id
dtype: string
splits:
- name: test
num_bytes: 5475
num_examples: 16
download_size: 7298
dataset_size: 5475
- config_name: code_technical_content_variable_naming_conventions
features:
- name: question
dtype: string
- name: choices
sequence: 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: coding_lang
dtype: string
- name: notes
dtype: string
- name: id
dtype: string
- name: set_id
dtype: float64
- name: variation_id
dtype: string
splits:
- name: test
num_bytes: 5087
num_examples: 12
download_size: 7702
dataset_size: 5087
- config_name: code_technical_content_whitespace_variations
features:
- name: question
dtype: string
- name: choices
sequence: 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: coding_lang
dtype: string
- name: notes
dtype: string
- name: id
dtype: string
- name: set_id
dtype: float64
- name: variation_id
dtype: string
splits:
- name: test
num_bytes: 5053
num_examples: 15
download_size: 7544
dataset_size: 5053
configs:
- config_name: code_technical_content_buggy_code
data_files:
- split: test
path: code_technical_content_buggy_code/test-*
- config_name: code_technical_content_cannonical
data_files:
- split: test
path: code_technical_content_cannonical/test-*
- config_name: code_technical_content_comments_across_languages
data_files:
- split: test
path: code_technical_content_comments_across_languages/test-*
- config_name: code_technical_content_string_literals
data_files:
- split: test
path: code_technical_content_string_literals/test-*
- config_name: code_technical_content_syntax_and_punctuation_variations
data_files:
- split: test
path: code_technical_content_syntax_and_punctuation_variations/test-*
- config_name: code_technical_content_variable_naming_conventions
data_files:
- split: test
path: code_technical_content_variable_naming_conventions/test-*
- config_name: code_technical_content_whitespace_variations
data_files:
- split: test
path: code_technical_content_whitespace_variations/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 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]
- Repository: [More Information Needed]
- Paper [optional]: [More Information Needed]
- 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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Who are the source data producers?
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Annotations [optional]
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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