README.md

metadata

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

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.

Citation [optional]

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