15 datasets found

ImageMonkey proposed another method for acquiring visual data.

The dataset used in the GravitySpy project, which is a crowdsourcing experiment for glitch detection in LIGO data.

The Annotated Enron Subject Line Corpus (AESLC) is a dataset for email subject line generation. It is built by leveraging the Enron Corpus and crowdsourcing.

Structured crowdsourcing enables convolutional segmentation of histology images.

The dataset used in this paper is a binary classification task on a multi-class crowdsourcing platform.

A crowd-sourced frame disambiguation corpus with ambiguity.

The dataset contains 4952 labeled statements with 1843 (37%) labeled as biased and 3109 (62%) labeled as neutral.

The dataset used in the paper is a crowdsourcing dataset with 200 workers and 10 tasks. Each worker has a set of skills and each task has a set of required skills. The dataset...

A POAPS program for finding-fix-verify

A POAPS program for iterative improvement on descriptions for images

A POAPS program for labeling that manages uncertainty without exposing it to the user

A programming language with a POMDP inside

Reputation Agent is a tool that detects unfair reviews on gig markets and prompts fairer assessments by presenting micro-information about gig workers’ conditions and policies.

A crowdsourced dialogue dataset for emergency response tasks, using a Wizard-of-Oz approach.

A Deep Reinforcement Learning framework for task arrangement in crowdsourcing platforms.