README.md

metadata

license: cc
multilinguality: multilingual
task_categories:
  - multiple-choice
pretty_name: Tokenization Robustness
tags:
  - multilingual
  - tokenization
dataset_info:
  - config_name: zho_hans_script_orthography_abbreviations_with_periods
    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: 379
        num_examples: 2
    download_size: 5569
    dataset_size: 379
  - config_name: zho_hans_script_orthography_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: 444
        num_examples: 2
    download_size: 5884
    dataset_size: 444
  - config_name: zho_hans_script_orthography_diacritics_presence_absence
    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: 217
        num_examples: 1
    download_size: 5636
    dataset_size: 217
  - config_name: zho_hans_script_orthography_homoglyphs
    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: 212
        num_examples: 1
    download_size: 5719
    dataset_size: 212
configs:
  - config_name: zho_hans_script_orthography_abbreviations_with_periods
    data_files:
      - split: test
        path: zho_hans_script_orthography_abbreviations_with_periods/test-*
  - config_name: zho_hans_script_orthography_cannonical
    data_files:
      - split: test
        path: zho_hans_script_orthography_cannonical/test-*
  - config_name: zho_hans_script_orthography_diacritics_presence_absence
    data_files:
      - split: test
        path: zho_hans_script_orthography_diacritics_presence_absence/test-*
  - config_name: zho_hans_script_orthography_homoglyphs
    data_files:
      - split: test
        path: zho_hans_script_orthography_homoglyphs/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

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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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Annotation process

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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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