Dataset Card for "common_gen"

Dataset Description
Dataset Structure
Dataset Creation
Considerations for Using the Data
Additional Information

Dataset Description

Homepage: https://inklab.usc.edu/CommonGen/index.html
Repository: More Information Needed
Paper: More Information Needed
Point of Contact: More Information Needed
Size of downloaded dataset files: 1.76 MB
Size of the generated dataset: 6.88 MB
Total amount of disk used: 8.64 MB

CommonGen is a constrained text generation task, associated with a benchmark dataset, to explicitly test machines for the ability of generative commonsense reasoning. Given a set of common concepts; the task is to generate a coherent sentence describing an everyday scenario using these concepts.

CommonGen is challenging because it inherently requires 1) relational reasoning using background commonsense knowledge, and 2) compositional generalization ability to work on unseen concept combinations. Our dataset, constructed through a combination of crowd-sourcing from AMT and existing caption corpora, consists of 30k concept-sets and 50k sentences in total.

default

Size of downloaded dataset files: 1.76 MB
Size of the generated dataset: 6.88 MB
Total amount of disk used: 8.64 MB

An example of 'train' looks as follows.

{
    "concept_set_idx": 0,
    "concepts": ["ski", "mountain", "skier"],
    "target": "Three skiers are skiing on a snowy mountain."
}

Data Fields

The data fields are the same among all splits.

default

concept_set_idx: a int32 feature.
concepts: a list of string features.
target: a string feature.

Data Splits Sample Size

name	train	validation	test
default	67389	4018	1497

@inproceedings{lin-etal-2020-commongen,
    title = "{C}ommon{G}en: A Constrained Text Generation Challenge for Generative Commonsense Reasoning",
    author = "Lin, Bill Yuchen  and
      Zhou, Wangchunshu  and
      Shen, Ming  and
      Zhou, Pei  and
      Bhagavatula, Chandra  and
      Choi, Yejin  and
      Ren, Xiang",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.findings-emnlp.165",
    doi = "10.18653/v1/2020.findings-emnlp.165",
    pages = "1823--1840"
}

Contributions

Thanks to @JetRunner, @yuchenlin, @thomwolf, @lhoestq for adding this dataset.

Datasets:

allenai
/

common_gen

Dataset Card for "common_gen"

Table of Contents

Dataset Description

Dataset Summary

Supported Tasks

Languages

Dataset Structure

Data Instances

default

Data Fields

default

Data Splits Sample Size

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