---
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-*
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
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    num_examples: 4
  - name: test
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    num_examples: 90
  download_size: 20916
  dataset_size: 35874
- config_name: context-dependent_ambiguities
  features:
  - name: question
    dtype: string
  - name: choices
    sequence: string
  - name: answer
    dtype: int64
  - name: answer_label
    dtype: string
  - name: split
    dtype: string
  - name: subcategories
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  - name: lang
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  - name: second_lang
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  - 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: 2691
    num_examples: 8
  - name: test
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    num_examples: 20
  download_size: 17480
  dataset_size: 8689
- config_name: mathematical_scientific_notation
  features:
  - name: question
    dtype: string
  - name: choices
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  - name: answer
    dtype: int64
  - 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
    dtype: string
  - name: notes
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  - name: id
    dtype: string
  - name: set_id
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  - name: variation_id
    dtype: string
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: dev
    num_bytes: 13033
    num_examples: 58
  - name: test
    num_bytes: 48194
    num_examples: 211
  download_size: 29704
  dataset_size: 61227
- config_name: morphological_challenges
  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:
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    num_examples: 44
  - name: test
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  download_size: 25621
  dataset_size: 30887
- config_name: multi-linguality
  features:
  - name: question
    dtype: string
  - name: choices
    sequence: string
  - 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
    dtype: string
  - name: coding_lang
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  - name: notes
    dtype: string
  - name: id
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  - name: set_id
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  - name: variation_id
    dtype: string
  - name: __index_level_0__
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  splits:
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    num_examples: 23
  - name: test
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  download_size: 20043
  dataset_size: 20228
- config_name: named_entities
  features:
  - name: question
    dtype: string
  - name: choices
    sequence: string
  - name: answer
    dtype: int64
  - name: answer_label
    dtype: string
  - name: split
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  - 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
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    num_examples: 3
  - name: test
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  download_size: 18612
  dataset_size: 15962
---

# 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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[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

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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

<!-- 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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