Data · dataset · 2018
Automated Essay Grading Pre-Processed Dataset
Listed in DataCite
The dataset is for the work “An Empirical Analysis of Machine Learning Models for Automated Essay Grading” - The dataset is a pre-processed version of the used publically available Hewlett Foundation’s Automated Student Assessment Prize (ASAP) dataset for experimental evaluation.
Description
Users can freely sign-up on Kaggle and download the raw dataset. This dataset has been extensively used in literature for evaluating automatic grading techniques (Dong and Zhang, 2016)(Cummins et al., 2016).
We process the raw data and provide the processed data. Details in our paper titled: An Empirical Analysis of Machine Learning Models for Automated Essay Grading.
Links
Where it is published
- Repository landing page figshare.com/articles/Automated_Essay_Grading_Pre-Processed_Dataset/5765727 ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.5765727 ↗
DOI / persistent id · from DataCite
Documentation and papers
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.5765727 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.5765727 ↗
catalogue entry · from DataCite
Topics
Related
- Inverse of same asAutomated Essay Grading Pre-Processed Dataset
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.5765727 | 13 d ago | JSON v1 |
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