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Evaluating a Semantic-based Automated Approach to Task-Relevant Text Identification: Supporting Material

<p>This is the supplementary material for the evaluation of a semantic-based automated approach to task-relevant text identification.</p> <p>&nbsp;</p> <p><strong>Where:</strong></p> <ul> <li><strong>ds-python:</strong> contains the dataset produced as part of this study</li> <li><strong>output:</strong> contains the results from our data analysis</li> <li><strong>responses:</strong> contains the participants&#39; responses to each of the major questions we asked them during our experiment</li> </ul>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

Dataset details

Repository
zenodo
Published
May 12, 2022
License
cc-by-4.0
DOI
10.5281/zenodo.6547589

Scored with release 0.9.0

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