How to load this dataset directly with the
π€/datasets
library:
from datasets import load_dataset dataset = load_dataset("event2Mind")
mrm8488/t5-base-finetuned-e2m-intent
In Event2Mind, we explore the task of understanding stereotypical intents and reactions to events. Through crowdsourcing, we create a large corpus with 25,000 events and free-form descriptions of their intents and reactions, both of the event's subject and (potentially implied) other participants.
We show detailed information for up to 5 configurations of the dataset.
An example of 'validation' looks as follows.
{
"Event": "It shrinks in the wash",
"Osent": "1",
"Otheremotion": "[\"upset\", \"angry\"]",
"Source": "it_events",
"Xemotion": "[\"none\"]",
"Xintent": "[\"none\"]",
"Xsent": ""
}
The data fields are the same among all splits.
Source
: a string
feature.Event
: a string
feature.Xintent
: a string
feature.Xemotion
: a string
feature.Otheremotion
: a string
feature.Xsent
: a string
feature.Osent
: a string
feature.name | train | validation | test |
---|---|---|---|
default | 46472 | 5401 | 5221 |
@inproceedings{event2Mind,
title={Event2Mind: Commonsense Inference on Events, Intents, and Reactions},
author={Hannah Rashkin and Maarten Sap and Emily Allaway and Noah A. Smithβ Yejin Choi},
year={2018}
}