README.md

metadata

license: cc
multilinguality: multilingual
task_categories:
  - multiple-choice
pretty_name: Tokenization Robustness
tags:
  - multilingual
  - tokenization
dataset_info:
  - config_name: ita_latn_named_entities_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: 261
        num_examples: 1
    download_size: 5891
    dataset_size: 261
  - config_name: ita_latn_named_entities_place_names_with_apostrophes
    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: 190
        num_examples: 1
    download_size: 5509
    dataset_size: 190
  - config_name: ita_latn_named_entities_special_names_across_cultures
    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: 284
        num_examples: 1
    download_size: 5970
    dataset_size: 284
configs:
  - config_name: ita_latn_named_entities_cannonical
    data_files:
      - split: test
        path: ita_latn_named_entities_cannonical/test-*
  - config_name: ita_latn_named_entities_place_names_with_apostrophes
    data_files:
      - split: test
        path: ita_latn_named_entities_place_names_with_apostrophes/test-*
  - config_name: ita_latn_named_entities_special_names_across_cultures
    data_files:
      - split: test
        path: ita_latn_named_entities_special_names_across_cultures/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]

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• 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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