Wikipedia hoax and non-hoax articles from Kumar, West & Leskovec, 'Disinformation on the Web' (WWW 2016), distributed by SNAP. The README describes 64 hoaxes, each paired with a non-hoax article created the same day with similar appearance; the parsed folders hold those 64 + 64 articles, while the cleaned-markup folder holds 76 hoaxes and 64 non-hoaxes (140 articles). The archive is SNAP's own and also contains 65 macOS '._' resource-fork files, which are not articles. Released under the CRAPL licence (CRAPL-LICENSE.txt is included).
A Wikipedia (English edition hyperlink growth) dataset of 1,870,709 nodes and 39,953,145 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, temporal: True. Temporal directed network showing how Wikipedia's hyperlink structure grew over time — edges carry Unix timestamps of when links were added.. Suitable for temporal network analysis, knowledge graph evolution, Wikipedia growth modeling.
The wikilink network of the English Wikipedia, as distributed by KONECT (wikipedia_link_en), built from the Wikimedia dumps: 12,150,976 articles and 378,142,420 directed links between them, where a link from A to B means article A links to article B (article namespace only; 40,018 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 13,593,032 articles and 437,217,424 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian); at this size the analytics are computed on disk (Kuzu), with assortativity and bridges sampled. Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.
The wikilink network of the French Wikipedia, as distributed by KONECT (wikipedia_link_fr), built from the Wikimedia dumps: 3,023,165 articles and 102,382,410 directed links between them, where a link from A to B means article A links to article B (article namespace only; 17,100 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 3,333,397 articles and 123,709,902 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian). Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.
The wikilink network of the German Wikipedia, as distributed by KONECT (wikipedia_link_de), built from the Wikimedia dumps: 3,225,565 articles and 81,626,917 directed links between them, where a link from A to B means article A links to article B (article namespace only; 31,722 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 3,603,726 articles and 96,865,851 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian). Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.
The wikilink network of the Italian Wikipedia, as distributed by KONECT (wikipedia_link_it), built from the Wikimedia dumps: 1,865,965 articles and 91,555,008 directed links between them, where a link from A to B means article A links to article B (article namespace only; 27,438 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 2,148,791 articles and 104,719,994 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian). Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.
The wikilink network of the Japanese Wikipedia, as distributed by KONECT (wikipedia_link_ja), built from the Wikimedia dumps: 1,610,638 articles and 71,055,717 directed links between them, where a link from A to B means article A links to article B (article namespace only; 6,153 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 1,767,268 articles and 83,202,622 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian). Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.
The wikilink network of the Polish Wikipedia, as distributed by KONECT (wikipedia_link_pl), built from the Wikimedia dumps: 1,529,135 articles and 57,489,447 directed links between them, where a link from A to B means article A links to article B (article namespace only; 2,211 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 1,688,608 articles and 70,256,468 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian). Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.
The wikilink network of the Portuguese Wikipedia, as distributed by KONECT (wikipedia_link_pt), built from the Wikimedia dumps: 1,603,222 articles and 49,021,409 directed links between them, where a link from A to B means article A links to article B (article namespace only; 7,445 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 1,744,781 articles and 57,679,728 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian). Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.
The wikilink network of the Russian Wikipedia, as distributed by KONECT (wikipedia_link_ru), built from the Wikimedia dumps: 2,853,118 articles and 82,056,101 directed links between them, where a link from A to B means article A links to article B (article namespace only; 20,493 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 3,370,462 articles and 93,373,056 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian). Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.
A Wikipedia (Italian edition talk pages) dataset of 863,846 nodes and 1,661,453 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Italian talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A NDS-VU signed network repository dataset of 138,588 Wikipedia editors and 715,883 signed interaction edges on political articles, collected by NDS-VU from Wikipedia edit history. Each record contains directed signed edges between nodes: sign (+1 or -1) representing positive/negative relationships; no edge weights beyond binary sign. Large signed network of Wikipedia editors working on political articles, capturing support and opposition relationships derived from edit patterns and talk page interactions in politically charged content areas. Suitable for political discourse analysis, signed network analysis, editor behavior.
A Wikipedia (Portuguese edition talk pages) dataset of 541,355 nodes and 1,463,308 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Portuguese talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A Wikipedia (online encyclopedia) dataset of 11,377 users and 196,614 directed signed votes (143,879 support, 40,667 oppose, 12,068 neutral) with 189,541 vote rationale texts, collected by West and Leskovec from Wikipedia's public adminship election records spanning 2003–2013, distributed by SNAP. Each record contains directed signed edges from voter to candidate: +1 support, -1 oppose, 0 neutral; election outcome per candidate (0/1); natural language vote rationale text per vote. The dataset is notable for its unique combination of signed network structure with natural language rationale text per edge, enabling joint graph and text analysis; one of the few real-world signed networks with explicit textual justifications for positive and negative links. Intended for research into signed network analysis, trust and reputation modeling, text-attributed graph research, opinion mining, link sign prediction with text features, and community detection in collaborative platforms.
A Wikipedia (Russian edition talk pages) dataset of 457,017 nodes and 919,790 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Russian talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A Wikipedia (Spanish edition talk pages) dataset of 497,446 nodes and 1,250,097 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Spanish talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.
A Wikipedia (English edition talk pages) dataset of 2,394,385 nodes and 5,021,410 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: False, temporal: False. Large directed temporal network of Wikipedia talk page interactions — 5M edges between 2.4M editors.. Suitable for wiki collaboration analysis, conflict detection, community detection.
A Wikipedia dataset of 740,397 signed interactions, collected by Network Repository. Each record contains editor-to-editor signed relationships. Signed network of Wikipedia edit interactions (co-editing vs reverts). Suitable for signed network analysis, conflict detection, collaboration studies.
A Wikispeedia (Wikipedia-based online navigation game) dataset of 4,586 Wikipedia article nodes, 119,767 hyperlinks, and 76,193 human navigation paths, collected by West & Leskovec via the Wikispeedia online game (2008–2012). Each record contains article hyperlink graph (source → target), navigation path sequences, path duration in seconds, path length in clicks, back-click count, and optional difficulty rating (1=easy to 5=brutal). Unique dataset combining a Wikipedia hyperlink graph with 76,193 human navigation paths from an online game where players navigate from a random start article to a target article using only hyperlinks — 67.4% of paths were successfully completed.. Suitable for semantic distance estimation, human wayfinding behavior, hyperlink graph analysis, information foraging, Wikipedia structure research.
A YouTube dataset of 2,004,605 comments from 635 videos, collected by Bwan Wando via YouTube API. Each record contains comment text, like count, reply count, video ID, timestamp, anonymized author ID. A large-scale dataset of 2M+ comments from the Wish 107.5 YouTube channel, a popular Philippine FM radio station known for its live music performances. Suitable for sentiment analysis, topic modeling, fan engagement, cultural studies, natural language processing.
A Princeton WordNet lexical database dataset of 146,005 nodes and 656,999 edges, collected by Princeton University. Each record contains directed: False, weighted: False. Semantic network of English words linked by synonymy, hypernymy, and other lexical relations from WordNet.. Suitable for natural language processing, semantic network analysis, word embedding evaluation.
A World Bank dataset of 208 countries spanning 1990–2025, collected by World Bank via World Development Indicators. Each record contains country name, country code, internet usage percentage per year. Global internet penetration time-series from 1990 to 2025 covering over 200 countries with annual observations. Suitable for digital divide analysis, internet adoption trends, cross-country comparison, development economics.
Yelp coffee-shop reviews for computational branding analytics (Wang, Lin & Kominek, EMNLP 2013): 17,894 reviews in train (10,495), dev (3,617) and test (3,782) splits. Each row holds the brand (Starbucks, Dunkin', other), satisfaction (negative, positive, neutral), the reviewer's gender (missing as '?' in some rows), US region, and the review text. There are no review, business or date fields. Research use only, per the README.
A YikYak / Reddit dataset of 26,304 posts with engagement and controversy labels, collected by Riana Doctor via YikYak API and Reddit scraping (2025). Each record contains post text, vote total, comment count, controversy flag, timestamp, user alias, group ID. Dataset combining YikYak-style anonymous posts and Reddit content with explicit engagement and controversy annotations, enabling comparative analysis of controversial content across platforms. Suitable for controversy detection, engagement prediction, content moderation, sentiment analysis, social media dynamics.
A YouTube (friendship network) dataset of 1,138,499 users and 2,990,443 friendship edges, collected by Tang & Liu via YouTube crawl (2009). Each record contains user-user friendship edges, group memberships (47 groups), and user IDs. The dataset is notable for its classic social network dataset with explicit group memberships, used as a benchmark for latent social dimensions and collective behavior learning. Intended for research into social network analysis, community detection, group membership prediction, and relational learning in social media.
23,992 YouTube comments with sentiment and tone labels and short pros/cons notes, published on Hugging Face by AnandforU, in train (19,992), validation (2,000) and test (2,000) splits. Each record holds the comment text, sentiment, tone, pros and cons. Suitable for sentiment analysis and comment moderation.
A YouTube Shorts dataset of 68,699 short-form video records (metadata only), collected by JamilAL01 via the YouTube Data API (GitHub, 2025). Each record contains video title, description, tags, channel info, category, and engagement metrics (views, likes, comments, duration). metadata-only corpus with no video files — purely textual and categorical fields enabling content and engagement analysis without requiring video storage or processing. Suitable for short-form video trend analysis, content categorization, engagement prediction, and creator behavior modeling.
A YouTube dataset of 743,569 videos, 14,338,803 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0222 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 154,817 videos, 2,969,826 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0301 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 10,296 videos, 198,320 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0302 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 68,260 videos, 1,310,029 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0303 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 65,652 videos, 1,260,649 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0305 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 41,835 videos, 784,710 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0306 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 76,128 videos, 1,458,754 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0309 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 117,752 videos, 2,254,098 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0313 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 71,077 videos, 1,330,130 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0314 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 45,268 videos, 838,482 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0315 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 42,503 videos, 785,781 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0316 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 63,556 videos, 1,170,706 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0318 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 45,176 videos, 830,991 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0320 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 52,998 videos, 974,357 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0322 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 62,216 videos, 1,141,901 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0325 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 50,861 videos, 949,407 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0327 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 103,162 videos, 1,993,886 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0329 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 101,346 videos, 1,938,311 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0403 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 202,320 videos, 3,916,266 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0410 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 83,135 videos, 1,607,219 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0413 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 91,638 videos, 1,784,291 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0418 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 111,860 videos, 2,179,497 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0420 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A YouTube dataset of 88,823 videos, 1,733,223 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0422 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
Wikipedia
YouTube
Yelp
Reddit
Yik Yak