---
license: cc
multilinguality: multilingual
task_categories:
- multiple-choice
pretty_name: Tokenization Robustness
tags:
- multilingual
- tokenization
configs:
- config_name: script_orthography_abbreviations_(with_periods)
  data_files:
  - split: test
    path: script_orthography_abbreviations_(with_periods)/test-*
- config_name: script_orthography_brand_names_with_punctuation
  data_files:
  - split: test
    path: script_orthography_brand_names_with_punctuation/test-*
- config_name: script_orthography_cannonical
  data_files:
  - split: test
    path: script_orthography_cannonical/test-*
- config_name: script_orthography_code_language_script_switching
  data_files:
  - split: test
    path: script_orthography_code_language_script_switching/test-*
- config_name: script_orthography_diacritics_presence_absence
  data_files:
  - split: test
    path: script_orthography_diacritics_presence_absence/test-*
- config_name: script_orthography_equivalent_expressions
  data_files:
  - split: test
    path: script_orthography_equivalent_expressions/test-*
- config_name: script_orthography_homoglyphs
  data_files:
  - split: test
    path: script_orthography_homoglyphs/test-*
- config_name: script_orthography_regional_spelling_variations
  data_files:
  - split: test
    path: script_orthography_regional_spelling_variations/test-*
dataset_info:
- config_name: script_orthography_abbreviations_(with_periods)
  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: 2077
    num_examples: 10
  download_size: 6172
  dataset_size: 2077
- config_name: script_orthography_brand_names_with_punctuation
  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: 972
    num_examples: 4
  download_size: 6148
  dataset_size: 972
- config_name: script_orthography_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: 8926
    num_examples: 40
  download_size: 10362
  dataset_size: 8926
- config_name: script_orthography_code_language_script_switching
  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: 1851
    num_examples: 6
  download_size: 6796
  dataset_size: 1851
- config_name: script_orthography_diacritics_presence_absence
  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: 6529
    num_examples: 24
  download_size: 8107
  dataset_size: 6529
- config_name: script_orthography_equivalent_expressions
  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: 870
    num_examples: 3
  download_size: 6103
  dataset_size: 870
- config_name: script_orthography_homoglyphs
  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: 5655
    num_examples: 28
  download_size: 7604
  dataset_size: 5655
- config_name: script_orthography_regional_spelling_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: 2405
    num_examples: 11
  download_size: 6759
  dataset_size: 2405
---

# 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?

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### 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. -->

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#### Who are the annotators?

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#### 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:**

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**APA:**

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## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

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## More Information [optional]

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## Dataset Card Authors [optional]

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## Dataset Card Contact

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