Datasets:
File size: 13,880 Bytes
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---
license: cc
multilinguality: multilingual
task_categories:
- multiple-choice
pretty_name: Tokenization Robustness
tags:
- multilingual
- tokenization
configs:
- config_name: code_technical_content
data_files:
- split: dev
path: code_technical_content/dev-*
- split: test
path: code_technical_content/test-*
- config_name: context-dependent_ambiguities
data_files:
- split: dev
path: context-dependent_ambiguities/dev-*
- split: test
path: context-dependent_ambiguities/test-*
- config_name: mathematical_scientific_notation
data_files:
- split: dev
path: mathematical_scientific_notation/dev-*
- split: test
path: mathematical_scientific_notation/test-*
- config_name: morphological_challenges
data_files:
- split: dev
path: morphological_challenges/dev-*
- split: test
path: morphological_challenges/test-*
- config_name: multi-linguality
data_files:
- split: dev
path: multi-linguality/dev-*
- split: test
path: multi-linguality/test-*
- config_name: named_entities
data_files:
- split: dev
path: named_entities/dev-*
- split: test
path: named_entities/test-*
- config_name: orthographic_variations
data_files:
- split: dev
path: orthographic_variations/dev-*
- split: test
path: orthographic_variations/test-*
- config_name: social_media_informal_text
data_files:
- split: dev
path: social_media_informal_text/dev-*
- split: test
path: social_media_informal_text/test-*
- config_name: structural_text_elements
data_files:
- split: dev
path: structural_text_elements/dev-*
- split: test
path: structural_text_elements/test-*
- config_name: temporal_expressions
data_files:
- split: dev
path: temporal_expressions/dev-*
- split: test
path: temporal_expressions/test-*
dataset_info:
- config_name: code_technical_content
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
- name: __index_level_0__
dtype: int64
splits:
- name: dev
num_bytes: 1424
num_examples: 4
- name: test
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num_examples: 90
download_size: 20916
dataset_size: 35874
- config_name: context-dependent_ambiguities
features:
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dtype: string
- name: choices
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- name: answer
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- name: answer_label
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- name: subcategories
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- name: lang
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- name: second_lang
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- name: coding_lang
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- name: notes
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- name: id
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- name: set_id
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- name: variation_id
dtype: string
- name: __index_level_0__
dtype: int64
splits:
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- name: test
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download_size: 17480
dataset_size: 8689
- config_name: mathematical_scientific_notation
features:
- name: question
dtype: string
- name: choices
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- name: answer
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- name: answer_label
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- name: split
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- name: subcategories
dtype: string
- name: lang
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- 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
- name: __index_level_0__
dtype: int64
splits:
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- name: test
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download_size: 29704
dataset_size: 61227
- config_name: morphological_challenges
features:
- name: question
dtype: string
- name: choices
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- name: answer
dtype: int64
- name: answer_label
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- name: split
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- name: subcategories
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- name: lang
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- name: second_lang
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- name: coding_lang
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- name: notes
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- name: id
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- name: __index_level_0__
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- name: test
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- config_name: multi-linguality
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dtype: string
- name: choices
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- name: answer
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- name: answer_label
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- name: split
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- name: subcategories
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- name: lang
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- name: second_lang
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- name: coding_lang
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- name: notes
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- name: id
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- name: variation_id
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dtype: int64
splits:
- name: dev
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- name: test
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dataset_size: 20228
- config_name: named_entities
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dtype: string
- name: choices
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- name: test
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- config_name: orthographic_variations
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- name: test
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dataset_size: 2447
- config_name: social_media_informal_text
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- name: choices
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- name: test
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- config_name: structural_text_elements
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- name: test
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- config_name: temporal_expressions
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- name: test
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download_size: 15173
dataset_size: 6050
---
# Dataset Card for Tokenization Robustness
<!-- Provide a quick summary of the dataset. -->
A comprehensive evaluation dataset for testing robustness of different tokenization strategies.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
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]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
The dataset contains multiple-choice questions with associated metadata about tokenization types and categories.
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
The dataset focuses primarily on English text and may not generalize to other languages or tokenization schemes not covered in the evaluation.
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Dataset Card Authors [optional]
[More Information Needed]
## Dataset Card Contact
[More Information Needed] |