{"url":"/dataset/amfds","name":"AMFDS","full_name":"Arabic  Multi-Fonts  Dataset","description_markdown":"# Arabic Multi Fonts Dataset\r\nA multi-word multi-font Arabic word-image dataset. \r\n\r\nAMDS is a dataset of Arabic word images.\r\nThe dataset was generated using the TextImagesToolkit\r\nhttps://github.com/msfasha/TextImagesToolkit.\r\n\r\nThe database of comprised of a number of binary files and text files.\r\nThe binary files stores all the image files in binary format.\\\r\nThe text file include information about the image word and the location of that image in the binary file.\r\nThe binary file format is suitable for transferring images to the cloud, in addition to faster loading process which is suitable for large number of images.\r\n\r\nMore information about the dataset can be found at:\r\nhttps://github.com/msfasha/Arabic-Multi-Fonts-Dataset/edit/main/README.md","description_withheld":null,"homepage":"https://github.com/msfasha/Arabic-Multi-Fonts-Dataset","introduced_date":"2020-09-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-hybrid-deep-learning-model-for-arabic-text","title":"A Hybrid Deep Learning Model for Arabic Text Recognition","first_author":"Mohammad Fasha","url":null},"license":{"name":"MIT","url":"https://github.com/msfasha/Arabic-Multi-Fonts-Dataset/blob/main/LICENSE"},"modalities":[],"tasks":[],"languages":[{"name":"Arabic","url":"/datasets/language/arabic"}],"variants":["AMFDS"],"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":"2026-09-24T18:15:14+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."}