README.md

metadata

annotations_creators:
  - crowdsourced
language_creators:
  - crowdsourced
language:
  - en
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - question-answering
task_ids:
  - multiple-choice-qa
paperswithcode_id: codah
pretty_name: COmmonsense Dataset Adversarially-authored by Humans
dataset_info:
  - config_name: codah
    features:
      - name: id
        dtype: int32
      - name: question_category
        dtype:
          class_label:
            names:
              '0': Idioms
              '1': Reference
              '2': Polysemy
              '3': Negation
              '4': Quantitative
              '5': Others
      - name: question_propmt
        dtype: string
      - name: candidate_answers
        sequence: string
      - name: correct_answer_idx
        dtype: int32
    splits:
      - name: train
        num_bytes: 571196
        num_examples: 2776
    download_size: 352902
    dataset_size: 571196
  - config_name: fold_0
    features:
      - name: id
        dtype: int32
      - name: question_category
        dtype:
          class_label:
            names:
              '0': Idioms
              '1': Reference
              '2': Polysemy
              '3': Negation
              '4': Quantitative
              '5': Others
      - name: question_propmt
        dtype: string
      - name: candidate_answers
        sequence: string
      - name: correct_answer_idx
        dtype: int32
    splits:
      - name: train
        num_bytes: 344900
        num_examples: 1665
      - name: validation
        num_bytes: 114199
        num_examples: 556
      - name: test
        num_bytes: 112097
        num_examples: 555
    download_size: 379179
    dataset_size: 571196
  - config_name: fold_1
    features:
      - name: id
        dtype: int32
      - name: question_category
        dtype:
          class_label:
            names:
              '0': Idioms
              '1': Reference
              '2': Polysemy
              '3': Negation
              '4': Quantitative
              '5': Others
      - name: question_propmt
        dtype: string
      - name: candidate_answers
        sequence: string
      - name: correct_answer_idx
        dtype: int32
    splits:
      - name: train
        num_bytes: 340978
        num_examples: 1665
      - name: validation
        num_bytes: 114199
        num_examples: 556
      - name: test
        num_bytes: 116019
        num_examples: 555
    download_size: 379728
    dataset_size: 571196
  - config_name: fold_2
    features:
      - name: id
        dtype: int32
      - name: question_category
        dtype:
          class_label:
            names:
              '0': Idioms
              '1': Reference
              '2': Polysemy
              '3': Negation
              '4': Quantitative
              '5': Others
      - name: question_propmt
        dtype: string
      - name: candidate_answers
        sequence: string
      - name: correct_answer_idx
        dtype: int32
    splits:
      - name: train
        num_bytes: 342281
        num_examples: 1665
      - name: validation
        num_bytes: 114199
        num_examples: 556
      - name: test
        num_bytes: 114716
        num_examples: 555
    download_size: 379126
    dataset_size: 571196
  - config_name: fold_3
    features:
      - name: id
        dtype: int32
      - name: question_category
        dtype:
          class_label:
            names:
              '0': Idioms
              '1': Reference
              '2': Polysemy
              '3': Negation
              '4': Quantitative
              '5': Others
      - name: question_propmt
        dtype: string
      - name: candidate_answers
        sequence: string
      - name: correct_answer_idx
        dtype: int32
    splits:
      - name: train
        num_bytes: 342832
        num_examples: 1665
      - name: validation
        num_bytes: 114199
        num_examples: 556
      - name: test
        num_bytes: 114165
        num_examples: 555
    download_size: 379178
    dataset_size: 571196
  - config_name: fold_4
    features:
      - name: id
        dtype: int32
      - name: question_category
        dtype:
          class_label:
            names:
              '0': Idioms
              '1': Reference
              '2': Polysemy
              '3': Negation
              '4': Quantitative
              '5': Others
      - name: question_propmt
        dtype: string
      - name: candidate_answers
        sequence: string
      - name: correct_answer_idx
        dtype: int32
    splits:
      - name: train
        num_bytes: 342832
        num_examples: 1665
      - name: validation
        num_bytes: 114165
        num_examples: 555
      - name: test
        num_bytes: 114199
        num_examples: 556
    download_size: 379178
    dataset_size: 571196
configs:
  - config_name: codah
    data_files:
      - split: train
        path: codah/train-*
  - config_name: fold_0
    data_files:
      - split: train
        path: fold_0/train-*
      - split: validation
        path: fold_0/validation-*
      - split: test
        path: fold_0/test-*
  - config_name: fold_1
    data_files:
      - split: train
        path: fold_1/train-*
      - split: validation
        path: fold_1/validation-*
      - split: test
        path: fold_1/test-*
  - config_name: fold_2
    data_files:
      - split: train
        path: fold_2/train-*
      - split: validation
        path: fold_2/validation-*
      - split: test
        path: fold_2/test-*
  - config_name: fold_3
    data_files:
      - split: train
        path: fold_3/train-*
      - split: validation
        path: fold_3/validation-*
      - split: test
        path: fold_3/test-*
  - config_name: fold_4
    data_files:
      - split: train
        path: fold_4/train-*
      - split: validation
        path: fold_4/validation-*
      - split: test
        path: fold_4/test-*

Dataset Card for COmmonsense Dataset Adversarially-authored by Humans

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: Add homepage URL here if available (unless it's a GitHub repository)
• Repository: If the dataset is hosted on github or has a github homepage, add URL here
• Paper: If the dataset was introduced by a paper or there was a paper written describing the dataset, add URL here (landing page for Arxiv paper preferred)
• Leaderboard: If the dataset supports an active leaderboard, add link here
• Point of Contact: If known, name and email of at least one person the reader can contact for questions about the dataset.

Dataset Summary

[More Information Needed]

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

[More Information Needed]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

Thanks to @patil-suraj for adding this dataset.