Datasets:

allenai
/

atomic

	---
	pretty_name: ATOMIC
	annotations_creators:
	- crowdsourced
	language_creators:
	- crowdsourced
	language:
	- en
	license:
	- cc-by-4.0
	multilinguality:
	- monolingual
	size_categories:
	- 100K<n<1M
	source_datasets:
	- original
	task_categories:
	- text2text-generation
	task_ids: []
	paperswithcode_id: atomic
	tags:
	- common-sense-if-then-reasoning
	dataset_info:
	features:
	- name: event
	dtype: string
	- name: oEffect
	sequence: string
	- name: oReact
	sequence: string
	- name: oWant
	sequence: string
	- name: xAttr
	sequence: string
	- name: xEffect
	sequence: string
	- name: xIntent
	sequence: string
	- name: xNeed
	sequence: string
	- name: xReact
	sequence: string
	- name: xWant
	sequence: string
	- name: prefix
	sequence: string
	- name: split
	dtype: string
	config_name: atomic
	splits:
	- name: train
	num_bytes: 32441878
	num_examples: 202271
	- name: test
	num_bytes: 3995624
	num_examples: 24856
	- name: validation
	num_bytes: 3629768
	num_examples: 22620
	download_size: 19083782
	dataset_size: 40067270
	---

	# Dataset Card for An Atlas of Machine Commonsense for If-Then Reasoning - Atomic Common Sense Dataset

	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage:
	https://homes.cs.washington.edu/~msap/atomic/
	- Repository:
	https://homes.cs.washington.edu/~msap/atomic/
	- Paper:
	Maarten Sap, Ronan LeBras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith & Yejin Choi (2019). ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. AAAI

	### Dataset Summary

	This dataset provides the template sentences and
	relationships defined in the ATOMIC common sense dataset. There are
	three splits - train, test, and dev.

	From the authors.

	Disclaimer/Content warning: the events in atomic have been
	automatically extracted from blogs, stories and books written at
	various times. The events might depict violent or problematic actions,
	which we left in the corpus for the sake of learning the (probably
	negative but still important) commonsense implications associated with
	the events. We removed a small set of truly out-dated events, but
	might have missed some so please email us (msap@cs.washington.edu) if
	you have any concerns.


	For more information, see: https://homes.cs.washington.edu/~msap/atomic/

	### Supported Tasks and Leaderboards

	[More Information Needed]

	### Languages
	en

	## Dataset Structure

	### Data Instances

	Here is one example from the atomic dataset:


	``
	{'event': "PersonX uses PersonX's ___ to obtain", 'oEffect': [], 'oReact': ['annoyed', 'angry', 'worried'], 'oWant': [], 'prefix': ['uses', 'obtain'], 'split': 'trn', 'xAttr': [], 'xEffect': [], 'xIntent': ['to have an advantage', 'to fulfill a desire', 'to get out of trouble'], 'xNeed': [], 'xReact': ['pleased', 'smug', 'excited'], 'xWant': []}
	``


	### Data Fields

	Notes from the authors:

	* event: just a string representation of the event.
	* oEffect,oReact,oWant,xAttr,xEffect,xIntent,xNeed,xReact,xWant: annotations for each of the dimensions, stored in a json-dumped string.
	Note: "none" means the worker explicitly responded with the empty response, whereas [] means the worker did not annotate this dimension.
	* prefix: json-dumped string that represents the prefix of content words (used to make a better trn/dev/tst split).
	* split: string rep of which split the event belongs to.

	### Data Splits

	The atomic dataset has three splits: test, train and dev of the form:

	## Dataset Creation

	### Curation Rationale

	This dataset was gathered and created over to assist in common sense reasoning.

	### Source Data

	#### Initial Data Collection and Normalization

	See the reaserch paper and website for more detail. The dataset was
	created by the University of Washington using crowd sourced data


	#### Who are the source language producers?

	The Atomic authors and crowd source.

	### Annotations

	#### Annotation process

	Human annotations directed by forms.

	#### Who are the annotators?

	Human annotations.

	### Personal and Sensitive Information

	Unkown, but likely none.

	## Considerations for Using the Data

	### Social Impact of Dataset

	The goal for the work is to help machines understand common sense.

	### Discussion of Biases

	Since the data is human annotators, there is likely to be baised. From the authors:


	Disclaimer/Content warning: the events in atomic have been automatically extracted from blogs, stories and books written at various times. The events might depict violent or problematic actions, which we left in the corpus for the sake of learning the (probably negative but still important) commonsense implications associated with the events. We removed a small set of truly out-dated events, but might have missed some so please email us (msap@cs.washington.edu) if you have any concerns.


	### Other Known Limitations

	While there are many relationships, the data is quite sparse. Also, each item of the dataset could be expanded into multiple sentences along the vsrious dimensions, oEffect, oRect, etc.

	For example, given event: "PersonX uses PersonX's ___ to obtain" and dimension oReact: "annoyed", this could be transformed into an entry:

	"PersonX uses PersonX's ___ to obtain => PersonY is annoyed"

	## Additional Information

	### Dataset Curators

	The authors of Aotmic at The University of Washington

	### Licensing Information

	The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/

	### Citation Information

	@article{Sap2019ATOMICAA,
	title={ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning},
	author={Maarten Sap and Ronan Le Bras and Emily Allaway and Chandra Bhagavatula and Nicholas Lourie and Hannah Rashkin and Brendan Roof and Noah A. Smith and Yejin Choi},
	journal={ArXiv},
	year={2019},
	volume={abs/1811.00146}
	}

	### Contributions

	Thanks to [@ontocord](https://github.com/ontocord) for adding this dataset.