Published February 14, 2021 | Version V1
Dataset Open

CrowdEEG Dataset: Expert Adjudication Discussions for Medical Time Series Data

  • 1. University of Waterloo
  • 2. University of Toronto


This repository contains a dataset for a medical time series classification task acquired using CrowdEEG. Beyond classification labels, the dataset includes structured arguments from adjudication discussions of 3 medical experts per contentious classification decision.

The corpus has been referenced in the following papers:

This repository only contains classification labels and adjudication arguments, not the raw medical time series records. Please reach out to Mike Schaekermann ( to request access to the underlying raw time series data. A statement of purpose and proof of your institutional ethics clearance may be required.

If you find this data useful in your research, please consider citing:

  Author = {Schaekermann, Mike and Beaton, Graeme and Sanoubari, Elaheh and Lim, Andrew and Larson, Kate and Law, Edith},
  Title = {Ambiguity-Aware AI Assistants for Medical Data Analysis},
  Year = {2020},
  ISBN = {9781450367080},
  Publisher = {Association for Computing Machinery},
  Address = {New York, NY, USA},
  DOI = {10.1145/3313831.3376506},
  Pages = {1–14},
  Numpages = {14},
  Location = {Honolulu, HI, USA},
  Series = {CHI '20}



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Additional details

Related works

Is referenced by
Conference paper: 10.1145/3313831.3376506 (DOI)
Journal article: 10.1145/3359178 (DOI)
Is supplement to
Dataset: (URL)