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eng_latn_morphological_challenges

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multilingual
tokenization
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metadata
license: cc
multilinguality: multilingual
task_categories:
  - multiple-choice
pretty_name: Tokenization Robustness
tags:
  - multilingual
  - tokenization
dataset_info:
  - config_name: eng_latn_eng_latn_morphological_challenges_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: 10142
        num_examples: 33
    download_size: 10396
    dataset_size: 10142
  - config_name: eng_latn_eng_latn_morphological_challenges_compounds
    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: 9936
        num_examples: 29
    download_size: 10241
    dataset_size: 9936
  - config_name: eng_latn_eng_latn_morphological_challenges_contractions
    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: 3014
        num_examples: 13
    download_size: 7227
    dataset_size: 3014
  - config_name: eng_latn_morphological_challenges_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: 10142
        num_examples: 33
    download_size: 10411
    dataset_size: 10142
  - config_name: eng_latn_morphological_challenges_compounds
    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: 9936
        num_examples: 29
    download_size: 10241
    dataset_size: 9936
  - config_name: eng_latn_morphological_challenges_contractions
    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: 3014
        num_examples: 13
    download_size: 7229
    dataset_size: 3014
configs:
  - config_name: eng_latn_eng_latn_morphological_challenges_cannonical
    data_files:
      - split: test
        path: eng_latn_eng_latn_morphological_challenges_cannonical/test-*
  - config_name: eng_latn_eng_latn_morphological_challenges_compounds
    data_files:
      - split: test
        path: eng_latn_eng_latn_morphological_challenges_compounds/test-*
  - config_name: eng_latn_eng_latn_morphological_challenges_contractions
    data_files:
      - split: test
        path: eng_latn_eng_latn_morphological_challenges_contractions/test-*
  - config_name: eng_latn_morphological_challenges_cannonical
    data_files:
      - split: test
        path: eng_latn_morphological_challenges_cannonical/test-*
  - config_name: eng_latn_morphological_challenges_compounds
    data_files:
      - split: test
        path: eng_latn_morphological_challenges_compounds/test-*
  - config_name: eng_latn_morphological_challenges_contractions
    data_files:
      - split: test
        path: eng_latn_morphological_challenges_contractions/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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  • 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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