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CrowdED : a Crowdsourcing Evaluation Dataset

CrowdED is a crowdsourcing evaluation dataset. It consists of 300K+ contributions collected from 400 workers for 1000+ questions distributed over 500+ tasks. It also contains a declarative profiles for each worker, a self evaluation (1-5 rating) in different knowledge domains and a crowdsource consistency relevance of this profile. Tasks belong to various domains such as sport, fashion, economy, politics etc., and have different types, relevance judgment, data annotation, image labelling etc.

Data Structure

CrowdED
|-- Core : contains the payload of CrowdED
|   |-- Contributions.csv : contains the contributions
|   |-- Workers.csv : contains the worker profiles
|   |-- Ratings.csv : contains the profile ratings
|   `-- Task.zip : contains the task data
|	   |-- [Task_Set_ID]_auto : contains the HITs of the task set
|	   `-- [Task_Set_ID]_desc : contains the task set description data
|-- More : contains additonal data
|   `-- Task_IDs_Dict.csv : a translation dict from structured task ID to numerical ID
`-- Stats : contains statistical plots of CrowdED
    `-- [Stats].png : one file per statistical entry

Data Description

  • Contributions.csv : contains the contributions

    • Header : Worker_ID, Task_ID, Contributions
    • Note : Task_ID is numerical, the Task_ID_Dict can be used to retrieve the structured task ID.

  • Workers.csv : contains the worker profiles

    • Header :
      • Worker_ID, Age, Gender, Education_l, Education_d, Work_experience, Work_domain, Country : self explanatory
      • Language_n,Language_o, : native language and other spoken language
      • Interests_1,Interests_2 : two interest entries
      • V_1, V_2, V_3, V_4, V_5, V_6, V_7: self evaluation votes for knowledge in Sport, Technology, Fashion, Natural Sciences, Politics, Social Media and Humanitarian Work respectively.
      • Full_time_worker : [Binary] whether or not the worker is a full time crowdsourcing contributor
      • Version : The order with which the task set were completed
      • Time_to_complete : the time to fill the profile

  • Ratings.csv : contains the profile ratings

    • The raw file (from Figure Eight) of ratings for all the profiles found in Workers.csv

  • Task.zip : contains the task data

    • Both files are Javascript dict shaped entries

References

Temporarily private Figshare, DOI and reference:

  • URL: https://figshare.com/s/c03d6b8b0df781b864ff
  • Reference to cite:

    • [1] Tarek Awwad, Nadia Bennani, Veronika Rehn-Sonigo, Lionel Brunie and Harald Kosch CrowdED and CREX : Towards Easy Crowdsourcing Quality Control Evaluation ADBIS 2019, Bled - Slovenia

    • [2] Tarek AWWAD. 2018. CrowdED : Crowdsourcing Evaluation Dataset.