데이터셋 탐색

The dataset contains 3 million attribute-value annotations across 1257 unique categories created from 2.2 million cleaned Amazon product profiles. It is a large, multi-sourced, diverse dataset for product attribute extraction study.

Contains 4,480 Wikipedia documents, 118,732 event mention instances, and 168 event types. Source: MAVEN: A Massive General Domain Event Detection Dataset

MAVEN-ERE is a dataset designed for event relation extraction tasks containing 103,193 event coreference chains, 1,216,217 temporal relations, 57,992 causal relations, and 15,841 subevent relations. Source: MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction Image Source: https://arxiv.org/pdf/2211.07342v1.pdf

The dataset contains 3 million attribute-value annotations across 1257 unique categories created from 2.2 million cleaned Amazon product profiles. It is a large, multi-sourced, diverse dataset for product attribute extraction study.

MAVEN-Arg is an advanced event argument extraction dataset, which offers three main advantages: * A comprehensive schema covering 162 event types and 612 argument roles, all with expert-written definitions and examples. * A large data scale, containing 98,591 events and 290,613 arguments obtained with laborious human annotation. * The exhaustive annotation supporting all task variants of EAE, which annotates both entity and non-entity event arguments at the document level.

Manually vAlidated Vq2a Examples fRom Image/Caption datasetS (MAVERICS) is a suite of test-only visual question answering datasets.