README.md

metadata

annotations_creators:
  - crowdsourced
language_creators:
  - crowdsourced
language:
  - en
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - extended|commonsense_qa
task_categories:
  - question-answering
task_ids:
  - open-domain-qa
paperswithcode_id: cos-e
pretty_name: Commonsense Explanations
dataset_info:
  - config_name: v1.0
    features:
      - name: id
        dtype: string
      - name: question
        dtype: string
      - name: choices
        sequence: string
      - name: answer
        dtype: string
      - name: abstractive_explanation
        dtype: string
      - name: extractive_explanation
        dtype: string
    splits:
      - name: train
        num_bytes: 2067971
        num_examples: 7610
      - name: validation
        num_bytes: 260669
        num_examples: 950
    download_size: 1588340
    dataset_size: 2328640
  - config_name: v1.11
    features:
      - name: id
        dtype: string
      - name: question
        dtype: string
      - name: choices
        sequence: string
      - name: answer
        dtype: string
      - name: abstractive_explanation
        dtype: string
      - name: extractive_explanation
        dtype: string
    splits:
      - name: train
        num_bytes: 2702777
        num_examples: 9741
      - name: validation
        num_bytes: 329897
        num_examples: 1221
    download_size: 1947552
    dataset_size: 3032674
configs:
  - config_name: v1.0
    data_files:
      - split: train
        path: v1.0/train-*
      - split: validation
        path: v1.0/validation-*
  - config_name: v1.11
    data_files:
      - split: train
        path: v1.11/train-*
      - split: validation
        path: v1.11/validation-*

Dataset Card for "cos_e"

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:
• Repository: https://github.com/salesforce/cos-e
• Paper: Explain Yourself! Leveraging Language Models for Commonsense Reasoning
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 10.83 MB
• Size of the generated dataset: 5.39 MB
• Total amount of disk used: 16.22 MB

Dataset Summary

Common Sense Explanations (CoS-E) allows for training language models to automatically generate explanations that can be used during training and inference in a novel Commonsense Auto-Generated Explanation (CAGE) framework.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

v1.0

• Size of downloaded dataset files: 4.30 MB
• Size of the generated dataset: 2.34 MB
• Total amount of disk used: 6.64 MB

An example of 'train' looks as follows.

{
    "abstractive_explanation": "this is open-ended",
    "answer": "b",
    "choices": ["a", "b", "c"],
    "extractive_explanation": "this is selected train",
    "id": "42",
    "question": "question goes here."
}

v1.11

• Size of downloaded dataset files: 6.53 MB
• Size of the generated dataset: 3.05 MB
• Total amount of disk used: 9.58 MB

An example of 'train' looks as follows.

{
    "abstractive_explanation": "this is open-ended",
    "answer": "b",
    "choices": ["a", "b", "c"],
    "extractive_explanation": "this is selected train",
    "id": "42",
    "question": "question goes here."
}

Data Fields

The data fields are the same among all splits.

v1.0

• id: a string feature.
• question: a string feature.
• choices: a list of string features.
• answer: a string feature.
• abstractive_explanation: a string feature.
• extractive_explanation: a string feature.

v1.11

• id: a string feature.
• question: a string feature.
• choices: a list of string features.
• answer: a string feature.
• abstractive_explanation: a string feature.
• extractive_explanation: a string feature.

Data Splits

name	train	validation
v1.0	7610	950
v1.11	9741	1221

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

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

Unknown.

Citation Information

@inproceedings{rajani2019explain,
     title = "Explain Yourself! Leveraging Language models for Commonsense Reasoning",
    author = "Rajani, Nazneen Fatema  and
      McCann, Bryan  and
      Xiong, Caiming  and
      Socher, Richard",
      year="2019",
    booktitle = "Proceedings of the 2019 Conference of the Association for Computational Linguistics (ACL2019)",
    url ="https://arxiv.org/abs/1906.02361"
}

Contributions

Thanks to @lewtun, @thomwolf, @mariamabarham, @patrickvonplaten, @albertvillanova, @lhoestq for adding this dataset.