This repository contains the data and simulation results from the article "Don't stop me now, 'cause I'm having a good time screening: Evaluation of stopping methods for safe use of priority screening in systematic reviews". Tim Repke, Francesca Tinsdeall, Diana Danilenko, Sergio Graziosi, Finn Müller‐Hansen, Lena Schmidt, James Thomas, Gert van Valkenhoef. 2026. Don't Stop Me Now, `Cause I'm Having a Good Time Screening: Evaluation of Stopping Methods for Safe Use of Priority Screening in Systematic Reviews. Cochrane Evidence Synthesis and Methods https://doi.org/10.1002/cesm.70068 Code is available on GitHub: https://github.com/destiny-evidence/destiny-repository The `raw` directory contains raw labelled datasets, the `rankings` directory the pre-computed rankings, and the `results` directory the logs from the stopping method simulations. This version of the dataset is equivalent to the first version, but uses a more convenient/intuitive format.Each file contains all simulations and stopping decision for a specific dataset. name: Dataset name n_total: Overall size of dataset (number of records) n_incl: Number of relevant records simulations: Each simulation (typically, we pre-compute three rankings with different random initial set per dataset) ranking_info: Information on which ranking model was used for each batch and how large the batches were (this is dynamic) ranking: The ordered list of records id: row indices in the original raw dataset for reference labels: inclusion (1) /exclusion (0) annotations score: model score, -1 if part of random sample batch: which training batch this is part of stop_decisions: For each stopping method and set of parameters method: Name of the stopping method n_seen: How many records were screened before the method with these params said stop n_incl_seen: How many of those records were relevant Notes: The stopping decisions were computed on fixed batch sizes of 15 on the pre-computed ranking The params in the stop_decisions are repeated and duplicates, but might be more convenient to use this way