Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
24
datasets available to search
ShareScore release 0.9.0
Dataset results
24 results for “html”
WikiHist.html: English Wikipedia's Full Revision History in HTML Format
<p><strong>Introduction</strong></p> <p>Wikipedia is written in the wikitext markup language. When serving content, the MediaWiki software that powers Wikipedia parses wikitext to HTML, thereby inserting additional content by expanding macros (templates and modules). Hence, researchers who intend to analyze Wikipedia as seen by its readers should work with HTML, rather than wikitext. Since Wikipedia’s revision history is made publicly available by the Wikimedia Foundation exclusively in wikitext format, researchers have had to produce HTML themselves, typically by using Wikipedia’s REST API for ad-hoc wikitext-to-HTML parsing. This approach, however, (1) does not scale to very large amounts of data and (2) does not correctly expand macros in historical article revisions.</p> <p>We have solved these problems by developing a parallelized architecture for parsing massive amounts of wikitext using local instances of MediaWiki, enhanced with the capacity of correct historical macro expansion. By deploying our system, we produce and hereby release WikiHist.html, English Wikipedia’s full revision history in HTML format. It comprises the HTML content of 580M revisions of 5.8M articles generated from the full English Wikipedia history spanning 18 years from 1 January 2001 to 1 March 2019. Boilerplate content such as page headers, footers, and navigation sidebars are not included in the HTML.</p> <p>For more details, please refer to the description below and to the dataset paper:<br> Blagoj Mitrevski, Tiziano Piccardi, and Robert West: WikiHist.html: English Wikipedia’s Full Revision History in HTML Format. In <em>Proceedings of the 14th International AAAI Conference on Web and Social Media</em>, 2020.<br> <a href="https://arxiv.org/abs/2001.10256">https://arxiv.org/abs/2001.10256</a></p> <p>When using the dataset, please cite the above paper.</p> <p> </p> <p><strong>Dataset summary</strong></p> <p>The dataset consists of three parts:</p> <ol> <li>English Wikipedia’s full revision history parsed to HTML,</li> <li>a table of the creation times of all Wikipedia pages (<em>page_creation_times.json.gz</em>),</li> <li>a table that allows for resolving redirects for any point in time (<em>redirect_history.json.gz</em>).</li> </ol> <p>Part 1 is our main contribution, while parts 2 and 3 contain complementary information that can aid researchers in their analyses.</p> <p> </p> <p><strong>Getting the data</strong></p> <p>Parts 2 and 3 are hosted in this Zenodo repository. Part 1 is 7TB large -- too large for Zenodo -- and is therefore hosted externally on the Internet Archive. For downloading part 1, you have multiple options:</p> <ul> <li>use a Torrent-based solution as described at <a href="https://github.com/epfl-dlab/WikiHist.html">https://github.com/epfl-dlab/WikiHist.html</a> - Option 1 (recommended approach for the full download)</li> <li>use our download scripts by following the instructions at <a href="https://github.com/epfl-dlab/WikiHist.html">https://github.com/epfl-dlab/WikiHist.html</a> - Option 2 (the download scripts allow you to bulk-download all data as well as to download revisions for specific articles only).</li> <li>download it manually from the Internet Archive at <a href="https://archive.org/details/WikiHist_html">https://archive.org/details/WikiHist_html</a></li> </ul> <p> </p> <p><strong>Dataset details</strong></p> <p><strong>Part 1: HTML revision history</strong><br> The data is split into 558 directories, named <em>enwiki-20190301-pages-meta-history$1.xml-p$2p$3</em>, where <em>$1</em> ranges from 1 to 27, and <em>p$2p$3 </em>indicates that the directory contains revisions for pages with ids between <em>$2</em> and <em>$3</em>. (This naming scheme directly mirrors that of the wikitext revision history from which WikiHist.html was derived.) Each directory contains a collection of gzip-compressed JSON files, each containing 1,000 HTML article revisions. Each row in the gzipped JSON files represents one article revision. Rows are sorted by page id, and revisions of the same page are sorted by revision id. We include all revision information from the original wikitext dump, the only difference being that we replace the revision’s wikitext content with its parsed HTML version (and that we store the data in JSON rather than XML):</p> <ul> <li>id: id of this revision</li> <li>parentid: id of revision modified by this revision</li> <li>timestamp: time when revision was made</li> <li>cont_username: username of contributor</li> <li>cont_id: id of contributor</li> <li>cont_ip: IP address of contributor</li> <li>comment: comment made by contributor</li> <li>model: content model (usually "wikitext")</li> <li>format: content format (usually "text/x-wiki")</li> <li>sha1: SHA-1 hash</li> <li>title: page title</li> <li>ns: namespace (always 0)</li> <li>page_id: page id</li> <li>redirect_title: if page is redirect, title of target page</li> <li>html: revision content in HTML format</li> </ul> <p> </p> <p><strong>Part 2: Page creation times (<em>page_creation_times.json.gz</em>)</strong></p> <p>This JSON file specifies the creation time of each English Wikipedia page. It can, e.g., be used to determine if a wiki link was blue or red at a specific time in the past. Format:</p> <ul> <li>page_id: page id</li> <li>title: page title</li> <li>ns: namespace (0 for articles)</li> <li>timestamp: time when page was created</li> </ul> <p> </p> <p><strong>Part 3: Redirect history (<em>redirect_history.json.gz</em>)</strong></p> <p>This JSON file specifies all revisions corresponding to redirects, as well as the target page to which the respective page redirected at the time of the revision. This information is useful for reconstructing Wikipedia's link network at any time in the past. Format:</p> <ul> <li>page_id: page id of redirect source</li> <li>title: page title of redirect source</li> <li>ns: namespace (0 for articles)</li> <li>revision_id: revision id of redirect source</li> <li>timestamp: time at which redirect became active</li> <li>redirect: page title of redirect target (in 1st item of array; 2nd item can be ignored)</li> </ul> <p> </p> <p>The repository also contains two additional files, <em>metadata.zip</em> and <em>mysql_database.zip</em>. These two files are not part of WikiHist.html per se, and most users will not need to download them manually. The file <em>metadata.zip</em> is required by the download script (and will be fetched by the script automatically), and <em>mysql_database.zip</em> is required by the code used to produce WikiHist.html. The code that uses these files is hosted at <a href="https://github.com/epfl-dlab/WikiHist.html">GitHub</a>, but the files are too big for GitHub and are therefore hosted here.</p> <p>WikiHist.html was produced by parsing the 1 March 2019 dump of https://dumps.wikimedia.org/enwiki/20190301 from wikitext to HTML. That old dump is not available anymore on Wikimedia's servers, so we make a copy available at <a href="https://archive.org/details/enwiki-20190301-original-full-history-dump_dlab">https://archive.org/details/enwiki-20190301-original-full-history-dump_dlab</a> .</p>
HTML QC from spaceranger
Open the record for dataset details and reuse information.
WebScrapping Cocktail HTML
<p>WebScrapping Cocktail HTML</p>
HTML files
This is a resource where HTML files will be stored for the website
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.