Datasets:
metadata
license: cc
multilinguality: multilingual
task_categories:
- multiple-choice
pretty_name: Tokenization Robustness
tags:
- multilingual
- tokenization
dataset_info:
- config_name: eng_latn_eng_latn_temporal_expressions_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: 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: 1273
num_examples: 6
download_size: 6365
dataset_size: 1273
- config_name: eng_latn_eng_latn_temporal_expressions_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: 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: 2107
num_examples: 10
download_size: 6613
dataset_size: 2107
- config_name: eng_latn_eng_latn_temporal_expressions_locality-dependent_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: 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: 219
num_examples: 1
download_size: 5748
dataset_size: 219
- config_name: eng_latn_eng_latn_temporal_expressions_relative_time_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: 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: 256
num_examples: 1
download_size: 5817
dataset_size: 256
- config_name: eng_latn_temporal_expressions_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: 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: 1273
num_examples: 6
download_size: 6387
dataset_size: 1273
- config_name: eng_latn_temporal_expressions_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: 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: 2107
num_examples: 10
download_size: 6634
dataset_size: 2107
- config_name: eng_latn_temporal_expressions_locality-dependent_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: 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: 219
num_examples: 1
download_size: 5748
dataset_size: 219
- config_name: eng_latn_temporal_expressions_relative_time_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: 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: 256
num_examples: 1
download_size: 5816
dataset_size: 256
configs:
- config_name: eng_latn_eng_latn_temporal_expressions_cannonical
data_files:
- split: test
path: eng_latn_eng_latn_temporal_expressions_cannonical/test-*
- config_name: eng_latn_eng_latn_temporal_expressions_date_formats
data_files:
- split: test
path: eng_latn_eng_latn_temporal_expressions_date_formats/test-*
- config_name: eng_latn_eng_latn_temporal_expressions_locality-dependent_formats
data_files:
- split: test
path: >-
eng_latn_eng_latn_temporal_expressions_locality-dependent_formats/test-*
- config_name: eng_latn_eng_latn_temporal_expressions_relative_time_expressions
data_files:
- split: test
path: >-
eng_latn_eng_latn_temporal_expressions_relative_time_expressions/test-*
- config_name: eng_latn_temporal_expressions_cannonical
data_files:
- split: test
path: eng_latn_temporal_expressions_cannonical/test-*
- config_name: eng_latn_temporal_expressions_date_formats
data_files:
- split: test
path: eng_latn_temporal_expressions_date_formats/test-*
- config_name: eng_latn_temporal_expressions_locality-dependent_formats
data_files:
- split: test
path: eng_latn_temporal_expressions_locality-dependent_formats/test-*
- config_name: eng_latn_temporal_expressions_relative_time_expressions
data_files:
- split: test
path: eng_latn_temporal_expressions_relative_time_expressions/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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