General
This file contains data collected from the paper's full texts. - Id: Assigned paper id - Title: Paper title - Type: Summary of the paper's methodology - ML: Whether the paper uses classical learning, deep learning, both or none - # Algorithms: Number of machine learning experiments conducted by the paper's authors - Best Algorithm: Algorithm that lead to the best performance - Performance: Performance of the best algorithm - Perf. Metric: Metric respective to the described performance - Metrics: Whether the paper uses metrics or not - # Features: Number of features collected from the paper (should match information from Features.csv) / Number of features listed by the paper or that the paper claims to use. Different numbers indicate that some features mentioned in the paper were either not fully clear or not listed at all. - Dataset Size: Number of articles in the dataset used by the paper. In case there is more than one dataset, the 'Notes' column clarifies what this number means, but usually only the main dataset is considered. - Languages: Languages considered/analysed in the paper - Topic: If the paper explicitly focuses on a specific part of Wikipedia, we list the used topics. Otherwise this column shows 'Any' - Selection: Extra information about how the articles were obtained to create the dataset, if explicitly mentioned. - # Classes: If applicable, shows the number of quality labels considered in the dataset - Nmaj: Number of articles in the quality label with the most articles - Nmin: Number of articles in the quality label with the least articles - IR: Nmaj / Nmin - Output: Produced datasets, extensions, APIs, services, source code, etc. - Tools / Libraries: Third party libraries and tools used by the authors. **This column may be incomplete! - Notes: Clarifications regarding our method of collecting the paper's data are listed here. May sometimes mention some extra information about the topic of the paper, if deemed relevant.
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Papildus informācija
| Lauks | Vērtība |
|---|---|
| Data last updated | 2023. gada 11. septembris |
| Metadata last updated | 2024. gada 29. aprīlis |
| Izveidots | 2023. gada 11. septembris |
| Formāts | CSV |
| Licence | Creative Commons Attribution |
| Datastore active | False |
| Has views | False |
| Id | 98a26302-75ff-4271-b85b-f3a8f5fdf8b6 |
| Mimetype | text/csv |
| Package id | a6fcccb8-4227-4459-9d3d-270059c17ef2 |
| Position | 5 |
| State | active |
| Url type | upload |