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The Pile is a 825 GiB diverse, open source language modelling data set that consists of 22 smaller, high-quality datasets combined together.
This is a backup for the pile val dataset downloaded from here: https://the-eye.eu/public/AI/pile/val.jsonl.zst Please respect the original license of the dataset.
News
Description
We scrape the news sites that publish content under CC BY or CC BY-SA according to opennewswire. These include 360info, Africa is a Country, Alt News, Balkan Diskurs, Factly, Freedom of the Press Foundation, Agenzia Fides, Global Voices, Meduza, Mekong Eye, Milwaukee Neighborhood News Service, Minority Africa, New Canadian Media, SciDev.Net, The Solutions Journalism Exchange, Tasnim News Agency, ZimFact, Oxpeckers, Propastop, and The Public Record. Plain… See the full description on the dataset page: https://huggingface.co/datasets/common-pile/news_filtered.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The appraisal of the design and the weaving structure of Islamic knotted-pile carpets can tell plenty about the context in which they were produced, and the identification of signs of deterioration can help to establish their condition. These are often somewhat imprecise and laborious examinations, especially when considering carpets of large dimensions. Analytical methods that support these disciplines urge further exploration so that improved interpretations can be obtained.An interdisciplinary combination of art history, analytical science and textile conservation aimed, on the one hand, to improve the weaving examination of these complex textile objects – by considering the spin of threads and the ply of yarns; the knot count and density; and the weaving structure of warps, wefts and piles – and on the other, to help their condition assessment – by mapping of damaged areas, old repairs and contaminations. For this purpose, the possibilities and limitations of several non-invasive imaging techniques, namely transmitted, raking or incident visible, ultraviolet (UV) and infrared (IR) illumination through Visual Spectral Comparator (VSC), as well as conventional X-radiography, mammography and (micro) CT scanning, were assessed to support the conventional visual examination of the weaving details and present condition of two 17th-century Safavid knotted-pile carpet fragments.Observation with NUV and NIR imaging with VSC, as well as CT techniques, offered enriching overviews about weaving characteristics, damaged areas or contaminations that were not easily discernible with the naked eye, thus supporting the conventional visual examination. As a result, detailed digital mappings about the technological structure and the condition of the fragments could be obtained in a relatively efficient and accessible way. Moreover, combining art historical identification of the design with the analysis of the weaving structure confirmed that both carpet fragments are border corners that originally belonged to much larger carpets made in the so-called “Indo-Persian” style. The outcome of this interdisciplinary research brings very useful contributions for future art historical and conservation assessments of historical carpets, and it encourages further exploration of imaging techniques in the examination of other textile objects in museums and private collections.The outcome of this research has been published in the Journal of Cultural Heritage (DOI 10.1016/j.culher.2020.09.012). The dataset available here encompasses all imaging data obtained during the project, with conventional X-radiography, mammography and (micro) CT scanning, and multispectral imaging with visible transmitted, near ultraviolet (NUV) and near infrared (NIR) light. For details about the files, please see 0.File list pdf. Date: 2018-11-05 Date: 2019-09-02
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https://choosealicense.com/licenses/other/https://choosealicense.com/licenses/other/
The Pile is a 825 GiB diverse, open source language modelling data set that consists of 22 smaller, high-quality datasets combined together.