zenodoopen
Word2Vec model - Czech wikipedia
<p>Word2Vec embedding model trained on Czech wikipedia (from April 2020) corpus using gensim implementation with the following parameters in addition to default settings:</p> <ul> <li>vector dimension = <span class="math-tex">\(400\)</span>,</li> <li>window size = <span class="math-tex">\(10\)</span>,</li> <li>word minimum count = <span class="math-tex">\(10\)</span>,</li> <li>sample = <span class="math-tex">\(10^{-5}\)</span>.</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
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4