whatsnext-scores
<p>This dataset contains production variability scores as described in the following paper:</p><blockquote><p>Mario Giulianelli, Joris Baan, Wilker Aziz, Raquel Fernández, and Barbara Plank. 2023. <a href="https://arxiv.org/pdf/2305.11707.pdf"><strong>What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability</strong></a>. In <i>Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. A</i>ssociation for Computational Linguistics.</p></blockquote><p>We make these scores available to facilitate the reproducibility of our experiments, which can be found at <a href="https://github.com/dmg-illc/nlg-uncertainty-probes">https://github.com/dmg-illc/nlg-uncertainty-probes</a>.</p>
ShareScore
36/100
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
- 4