{"url":"/dataset/isi-ppt","name":"ISI-PPT","full_name":null,"description_markdown":"This is a Dataset for Arabic/English text detection and optical character recognition. All image data are text-slides extracted from PowerPoint files downloaded from Internet through the Google API.\nAll annotations are automatically generated mainly through the WinCom32 Python API. Postprocess is also applied to place a more accurate text bounding box or to suppress false-alarms, e.g. a text box only containing spaces. Finally, all annotation results are briefly reviewed by human to reject extreme bad samples, e.g. a slide with a large portion of copied table as image. In summary, this dataset contains 10,692 images, and roughly 100K line samples.\n\nSource: [https://gitlab.com/rex-yue-wu/ISI-PPT-Dataset](https://gitlab.com/rex-yue-wu/ISI-PPT-Dataset)\nImage Source: [https://gitlab.com/rex-yue-wu/ISI-PPT-Dataset](https://gitlab.com/rex-yue-wu/ISI-PPT-Dataset)","description_withheld":null,"homepage":"https://gitlab.com/rex-yue-wu/ISI-PPT-Dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Arabic","url":"/datasets/language/arabic"}],"variants":["ISI-PPT"],"data_loaders":[{"repo":"https://gitlab.com/rex-yue-wu/ISI-PPT-Dataset","url":"https://gitlab.com/rex-yue-wu/ISI-PPT-Dataset","frameworks":[]}],"num_papers_in_archive":0,"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":"2026-09-24T18:15:14+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."}