{"url":"/dataset/supplementary-information-for-machine","name":"Supplementary Information for Machine Learning Applications in Archaeological Practices: A Review","full_name":null,"description_markdown":"This deposit is supplementary material to \"Machine Learning Applications in Archaeological Practices: A Review\". It contains six different files:\r\n\r\n1. A supplementary document (`1-Protocol for Machine Learning Applications in Archaeological Practices_ A Review.docx.docx`) describing the detailed protocol used to screen the reviewed articles. It also contains information on the different features of the data table.\r\n2. A data table (`2-Results.xlsx`) of all reviewed articles. This file contains the following sheets: `Automatic_queries`, `Metadata`, `Final_results`, `Models`, `Tasks`, `Subfields`.\r\n3. The code of the GitHub repository [ML_archaeology_review][2] used for screening and processing the automatic filtering and plotting of the figures in the compressed zip file named `3-Automatic Screening Protocol Code.zip`.\r\n4. The code of the GitHub repository [Google-Scholar-Scraper][1] used for screening the records on Google Scholar in the compressed zip file named `4-Manual Screening Protocol Code.zip`.\r\n5. A set of research Information Systems (`.ris`) files containing bibliographic records of all queried, excluded (with reason number), included, and reviewed items all compressed in a zip file named `5-RIS Files.zip`.\r\n6. The data table used for the manual screening protocol, outlining the justification of the exclusion of certain records (`6-Manual Screening.xslx`)\"\r\n\r\n\r\n\r\n  [1]: https://github.com/ac-jorellanaf/Google-Scholar-Scraper.git\r\n  [2]: https://github.com/mathias-bellat/ML_archaeology_review.git","description_withheld":null,"homepage":"https://doi.org/10.17605/OSF.IO/RUPGY","introduced_date":"2025-01-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/machine-learning-applications-in-1","title":"Machine learning applications in archaeological practices: a review","first_author":"Mathias Bellat","url":null},"license":{"name":"CC-By Attribution 4.0 International","url":null},"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Supplementary Information for Machine Learning Applications in Archaeological Practices: A Review"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}