---
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

<!-- 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]

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- **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

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[More Information Needed]

### Out-of-Scope Use

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[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

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[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

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[More Information Needed]

#### 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

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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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