{ "data_id": "1501", "name": "semeion", "exact_name": "semeion", "version": 1, "version_label": null, "description": "**Author**: Semeion Research Center of Sciences of Communication \r\n**Source**: [UCI](http:\/\/archive.ics.uci.edu\/ml\/datasets\/semeion+handwritten+digit) \r\n**Please cite**: Semeion Research Center of Sciences of Communication, via Sersale 117, 00128 Rome, Italy \r\nTattile Via Gaetano Donizetti, 1-3-5,25030 Mairano (Brescia), Italy. \r\n\r\n### Dataset Description\r\n\r\nSemeion Handwritten Digit Data Set, where 1593 handwritten digits from around 80 persons were scanned and documented. The each of the 256 variables V1 - V256 describe one of the pixels and their corresponding values. \r\n\r\n### Sources\r\n\r\nThe dataset was created by Tactile Srl, Brescia, Italy (http:\/\/www.tattile.it) and donated in 1994 to Semeion Research Center of Sciences of Communication, Rome, Italy (http:\/\/www.semeion.it), for machine learning research. \r\n\r\nFor any questions, e-mail Massimo Buscema (m.buscema '@' semeion.it) or Stefano Terzi (s.terzi '@' semeion.it)\r\n\r\n### DataSet Information\r\n\r\nA total of 1593 handwritten digits from around 80 persons were scanned, stretched in a rectangular box 16x16 in a gray scale of 256 values. Then each pixel of each image was scaled into a boolean (1\/0) value using a fixed threshold. \r\n\r\nEach person wrote in a paper all the digits from 0 to 9, twice. The commitment was to write the digit the first time in the normal way (trying to write each digit accurately) and the second time in a fast way (with no accuracy). \r\n\r\nThe best validation protocol for this dataset seems to be a 5x2CV, 50% Tune (Train +Test) and completely blind 50% Validation\r\n\r\n### Attribute Information\r\n\r\nThis dataset consists of 1593 records (rows) and 256 attributes (columns). \r\nEach record represents a handwritten digit, originally scanned with a resolution of 256 grays scale (28). \r\nEach pixel of the each original scanned image was first stretched, and after scaled between 0 and 1 (setting to 0 every pixel whose value was under the value 127 of the grey scale (127 included) and setting to 1 each pixel whose original value in the grey scale was over 127). \r\nFinally, each binary image was scaled again into a 16x16 square box (the final 256 binary attributes).\r\n\r\n### Relevant Papers\r\n\r\nM Buscema, MetaNet: The Theory of Independent Judges, in Substance Use & Misuse 33(2)1998, pp 439-461.", "format": "ARFF", "uploader": "Rafael Gomes Mantovani", "uploader_id": 64, "visibility": "public", "creator": null, "contributor": null, "date": "2015-05-25 22:22:34", "update_comment": null, "last_update": "2015-11-09 20:18:33", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/1592293\/phptd5jYj", "default_target_attribute": "Class", "row_id_attribute": null, "ignore_attribute": null, "runs": 32948, "suggest": { "input": [ "semeion", "Tattile Via Gaetano Donizetti, 1-3-5,25030 Mairano (Brescia), Italy. ### Dataset Description Semeion Handwritten Digit Data Set, where 1593 handwritten digits from around 80 persons were scanned and documented. 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