Datasets for Effective Distributed Representations for Academic Expert Search
<p>Dataset for the "Effective Distributed Representations for Academic Expert Search" paper published at the <a href="https://ornlcda.github.io/SDProc/ ">SDP 2020 workshop</a> of the EMNLP conference.</p> <p>Two .zip archives are provided:</p> <p>1)<em><strong> papers_and_authors_source_csvs.zip : </strong></em>Contains <em>papers.csv </em>and <em>authors.csv</em>, which are CSV files with the source metadata for all the ~130k papers and ~68k authors used in the final version of the system.</p> <p>2) <em><strong>faiss_indexes.zip : </strong></em>Contains all the pre-populated FAISS indexes with all the embedding variations we used in our research.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 8