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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: 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: 5944
    dataset_size: 302
  - 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: dev
        num_bytes: 13554
        num_examples: 44
      - name: test
        num_bytes: 17159
        num_examples: 57
    download_size: 25763
    dataset_size: 30713
  - 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: string
      - name: variation_id
        dtype: string
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: dev
        num_bytes: 4881
        num_examples: 22
      - name: test
        num_bytes: 14811
        num_examples: 60
    download_size: 19992
    dataset_size: 19692
  - 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: dev
        num_bytes: 187
        num_examples: 1
      - name: test
        num_bytes: 13791
        num_examples: 51
    download_size: 17759
    dataset_size: 13978
  - 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: dev
        num_bytes: 10168
        num_examples: 47
      - name: test
        num_bytes: 13438
        num_examples: 59
    download_size: 22918
    dataset_size: 23606
  - 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: dev
        num_bytes: 238
        num_examples: 1
      - name: test
        num_bytes: 8382
        num_examples: 33
    download_size: 17027
    dataset_size: 8620
  - 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: dev
        num_bytes: 1306
        num_examples: 6
      - name: test
        num_bytes: 4687
        num_examples: 21
    download_size: 15250
    dataset_size: 5993
configs:
  - config_name: cannonical
    data_files:
      - split: dev
        path: cannonical/dev-*
  - 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-*
  - config_name: social_media_informal_text
    data_files:
      - split: dev
        path: social_media_informal_text/dev-*
      - split: test
        path: social_media_informal_text/test-*
  - config_name: structural_text_elements
    data_files:
      - split: dev
        path: structural_text_elements/dev-*
      - split: test
        path: structural_text_elements/test-*
  - config_name: temporal_expressions
    data_files:
      - split: dev
        path: temporal_expressions/dev-*
      - split: test
        path: temporal_expressions/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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