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tokenization_robustness

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metadata
license: cc
multilinguality: multilingual
task_categories:
  - multiple-choice
pretty_name: Tokenization Robustness
tags:
  - multilingual
  - tokenization
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
    splits:
      - name: test
        num_bytes: 35122
        num_examples: 94
    download_size: 12689
    dataset_size: 35122
  - config_name: mathematical_scientific_notation
    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: 59495
        num_examples: 272
    download_size: 18595
    dataset_size: 59495
  - 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
    splits:
      - name: test
        num_bytes: 30079
        num_examples: 101
    download_size: 15193
    dataset_size: 30079
  - config_name: multi-linguality
    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: 19570
        num_examples: 84
    download_size: 11461
    dataset_size: 19570
  - config_name: named_entities
    features:
      - name: question
        dtype: string
      - name: choices
        sequence: string
      - name: answer
        dtype: int64
      - name: answer_label
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      - 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: 15490
        num_examples: 59
    download_size: 11632
    dataset_size: 15490
  - config_name: orthographic_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: 6730
        num_examples: 30
    download_size: 7706
    dataset_size: 6730
  - config_name: social_media_informal_text
    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: 22868
        num_examples: 106
    download_size: 13077
    dataset_size: 22868
  - config_name: structural_text_elements
    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: 18761
        num_examples: 81
    download_size: 13120
    dataset_size: 18761
configs:
  - config_name: code_technical_content
    data_files:
      - split: test
        path: code_technical_content/test-*
  - config_name: mathematical_scientific_notation
    data_files:
      - split: test
        path: mathematical_scientific_notation/test-*
  - config_name: morphological_challenges
    data_files:
      - split: test
        path: morphological_challenges/test-*
  - config_name: multi-linguality
    data_files:
      - split: test
        path: multi-linguality/test-*
  - config_name: named_entities
    data_files:
      - split: test
        path: named_entities/test-*
  - config_name: orthographic_variations
    data_files:
      - split: test
        path: orthographic_variations/test-*
  - config_name: social_media_informal_text
    data_files:
      - split: test
        path: social_media_informal_text/test-*
  - config_name: structural_text_elements
    data_files:
      - split: test
        path: structural_text_elements/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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