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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
configs:
  - config_name: cannonical
    data_files:
      - split: dev
        path: cannonical/dev-*
  - config_name: mathematical_scientific_notation
    data_files:
      - split: tokenizer_robustness_mathematical_scientific_notation
        path: >-
          mathematical_scientific_notation/tokenizer_robustness_mathematical_scientific_notation-*
      - split: dev
        path: mathematical_scientific_notation/dev-*
  - config_name: morphological_challenges
    data_files:
      - split: tokenizer_robustness_morphological_challenges
        path: >-
          morphological_challenges/tokenizer_robustness_morphological_challenges-*
      - split: dev
        path: morphological_challenges/dev-*
  - config_name: named_entities
    data_files:
      - split: tokenizer_robustness_named_entities
        path: named_entities/tokenizer_robustness_named_entities-*
      - split: dev
        path: named_entities/dev-*
  - config_name: orthographic_variations
    data_files:
      - split: tokenizer_robustness_orthographic_variations
        path: orthographic_variations/tokenizer_robustness_orthographic_variations-*
      - split: dev
        path: orthographic_variations/dev-*
  - config_name: social_media_informal_text
    data_files:
      - split: tokenizer_robustness_social_media_informal_text
        path: >-
          social_media_informal_text/tokenizer_robustness_social_media_informal_text-*
      - split: dev
        path: social_media_informal_text/dev-*
  - config_name: structural_text_elements
    data_files:
      - split: tokenizer_robustness_structural_text_elements
        path: >-
          structural_text_elements/tokenizer_robustness_structural_text_elements-*
      - split: dev
        path: structural_text_elements/dev-*
  - config_name: temporal_expressions
    data_files:
      - split: tokenizer_robustness_temporal_expressions
        path: temporal_expressions/tokenizer_robustness_temporal_expressions-*
      - split: dev
        path: temporal_expressions/dev-*
dataset_info:
  - config_name: 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: string
      - name: variation_id
        dtype: string
    splits:
      - name: dev
        num_bytes: 302
        num_examples: 1
    download_size: 5942
    dataset_size: 302
  - 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: string
      - name: variation_id
        dtype: string
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: tokenizer_robustness_mathematical_scientific_notation
        num_bytes: 45033
        num_examples: 202
      - name: dev
        num_bytes: 12435
        num_examples: 56
    download_size: 29407
    dataset_size: 57468
  - 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: string
      - name: variation_id
        dtype: string
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: tokenizer_robustness_morphological_challenges
        num_bytes: 16931
        num_examples: 57
      - name: dev
        num_bytes: 13554
        num_examples: 44
    download_size: 25727
    dataset_size: 30485
  - config_name: named_entities
    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: string
      - name: variation_id
        dtype: string
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: tokenizer_robustness_named_entities
        num_bytes: 13587
        num_examples: 51
      - name: dev
        num_bytes: 187
        num_examples: 1
    download_size: 17711
    dataset_size: 13774
  - 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: string
      - name: variation_id
        dtype: string
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: tokenizer_robustness_orthographic_variations
        num_bytes: 219
        num_examples: 1
      - name: dev
        num_bytes: 222
        num_examples: 1
    download_size: 12033
    dataset_size: 441
  - 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: string
      - name: variation_id
        dtype: string
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: tokenizer_robustness_social_media_informal_text
        num_bytes: 13202
        num_examples: 59
      - name: dev
        num_bytes: 10168
        num_examples: 47
    download_size: 22875
    dataset_size: 23370
  - 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: string
      - name: variation_id
        dtype: string
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: tokenizer_robustness_structural_text_elements
        num_bytes: 8250
        num_examples: 33
      - name: dev
        num_bytes: 238
        num_examples: 1
    download_size: 17007
    dataset_size: 8488
  - config_name: temporal_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: string
      - name: variation_id
        dtype: string
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: tokenizer_robustness_temporal_expressions
        num_bytes: 4603
        num_examples: 21
      - name: dev
        num_bytes: 1306
        num_examples: 6
    download_size: 15229
    dataset_size: 5909

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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  • 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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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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