gsaltintas's picture
Uploading farsi_tokenizer_robustness_colloquial subset
f7f531a verified
metadata
license: cc
multilinguality: multilingual
task_categories:
  - multiple-choice
pretty_name: Tokenization Robustness
tags:
  - multilingual
  - tokenization
configs:
  - config_name: farsi_tokenizer_robustness_cannonical
    data_files:
      - split: test
        path: farsi_tokenizer_robustness_cannonical/test-*
  - config_name: farsi_tokenizer_robustness_code_language_script_switching
    data_files:
      - split: test
        path: farsi_tokenizer_robustness_code_language_script_switching/test-*
  - config_name: farsi_tokenizer_robustness_colloquial
    data_files:
      - split: test
        path: farsi_tokenizer_robustness_colloquial/test-*
  - config_name: farsi_tokenizer_robustness_diacritics_presence_absence
    data_files:
      - split: test
        path: farsi_tokenizer_robustness_diacritics_presence_absence/test-*
  - config_name: farsi_tokenizer_robustness_keyboard_proximity_errors
    data_files:
      - split: test
        path: farsi_tokenizer_robustness_keyboard_proximity_errors/test-*
  - config_name: farsi_tokenizer_robustness_romanization
    data_files:
      - split: test
        path: farsi_tokenizer_robustness_romanization/test-*
  - config_name: farsi_tokenizer_robustness_word_reordering
    data_files:
      - split: test
        path: farsi_tokenizer_robustness_word_reordering/test-*
  - config_name: farsi_tokenizer_robustness_word_spacing_zero-width_characters_extra_space
    data_files:
      - split: test
        path: >-
          farsi_tokenizer_robustness_word_spacing_zero-width_characters_extra_space/test-*
dataset_info:
  - config_name: farsi_tokenizer_robustness_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: float64
    splits:
      - name: test
        num_bytes: 12118
        num_examples: 45
    download_size: 10753
    dataset_size: 12118
  - config_name: farsi_tokenizer_robustness_code_language_script_switching
    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: float64
    splits:
      - name: test
        num_bytes: 10823
        num_examples: 45
    download_size: 9238
    dataset_size: 10823
  - config_name: farsi_tokenizer_robustness_colloquial
    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: float64
    splits:
      - name: test
        num_bytes: 9788
        num_examples: 45
    download_size: 9247
    dataset_size: 9788
  - config_name: farsi_tokenizer_robustness_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: float64
    splits:
      - name: test
        num_bytes: 12047
        num_examples: 45
    download_size: 10143
    dataset_size: 12047
  - config_name: farsi_tokenizer_robustness_keyboard_proximity_errors
    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: float64
    splits:
      - name: test
        num_bytes: 10835
        num_examples: 45
    download_size: 9474
    dataset_size: 10835
  - config_name: farsi_tokenizer_robustness_romanization
    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: float64
    splits:
      - name: test
        num_bytes: 8399
        num_examples: 45
    download_size: 8953
    dataset_size: 8399
  - config_name: farsi_tokenizer_robustness_word_reordering
    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: float64
    splits:
      - name: test
        num_bytes: 10883
        num_examples: 45
    download_size: 9556
    dataset_size: 10883
  - config_name: farsi_tokenizer_robustness_word_spacing_zero-width_characters_extra_space
    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: float64
    splits:
      - name: test
        num_bytes: 12666
        num_examples: 45
    download_size: 10010
    dataset_size: 12666

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 text completion 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

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Dataset Structure

The dataset contains multiple-choice questions with associated metadata about tokenization types and categories.

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Data Collection and Processing

[More Information Needed]

Who are the source data producers?

[More Information Needed]

Annotations [optional]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

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.

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Dataset Card Authors [optional]

[More Information Needed]

Dataset Card Contact

[More Information Needed]