Knowledge sharing

wikis, Q&A, collaborative knowledge

216 datasets tagged as the topic “Knowledge sharing” or one of its subtopics.

216 datasets — page 3 of 5.

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Amazon QA — Tools & Home Improvement Analyzed

A Amazon dataset of 101,088 QA pairs in Tools & Home Improvement, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Amazon product Q&A data for Tools & Home Improvement. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

101.1K records2016

Stack Exchange — civicrm.stackexchange.com Analyzed

A Stack Exchange (civicrm.stackexchange.com) dataset of 4,179 users, 12,946 answer-collaboration edges, 15,765 questions, 19,514 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from civicrm.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

95.3K records4.2K nodes12.9K edges2025

Stack Exchange — buddhism.stackexchange.com Analyzed

A Stack Exchange (buddhism.stackexchange.com) dataset of 3,874 users, 13,889 answer-collaboration edges, 8,492 questions, 28,765 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from buddhism.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

93.5K records3.9K nodes13.9K edges2025

Stack Exchange — scicomp.stackexchange.com Analyzed

A Stack Exchange (scicomp.stackexchange.com) dataset of 5,509 users, 11,287 answer-collaboration edges, 11,336 questions, 13,817 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from scicomp.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

90.9K records5.5K nodes11.3K edges2025

Amazon QA — Automotive Analyzed

A Amazon dataset of 89,923 QA pairs in Automotive, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Amazon product Q&A data for Automotive. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

89.9K records2016

Stack Exchange — parenting.stackexchange.com Analyzed

A Stack Exchange (parenting.stackexchange.com) dataset of 7,867 users, 18,626 answer-collaboration edges, 6,872 questions, 22,601 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from parenting.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

89.9K records7.9K nodes18.6K edges2025

Stack Exchange — sqa.stackexchange.com Analyzed

A Stack Exchange (sqa.stackexchange.com) dataset of 9,165 users, 20,221 answer-collaboration edges, 11,681 questions, 24,818 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from sqa.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

88.9K records9.2K nodes20.2K edges2025

Stack Exchange — spanish.stackexchange.com Analyzed

A Stack Exchange (spanish.stackexchange.com) dataset of 5,320 users, 12,610 answer-collaboration edges, 9,138 questions, 19,424 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from spanish.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

85.9K records5.3K nodes12.6K edges2025

Amazon QA — Cell Phones & Accessories Analyzed

A Amazon dataset of 85,865 QA pairs in Cell Phones & Accessories, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Amazon product Q&A data for Cell Phones & Accessories. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

85.9K records2016

Stack Exchange — chess.stackexchange.com Analyzed

A Stack Exchange (chess.stackexchange.com) dataset of 5,683 users, 16,082 answer-collaboration edges, 8,955 questions, 21,106 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from chess.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

85.1K records5.7K nodes16.1K edges2025

Stack Exchange — fitness.stackexchange.com Analyzed

A Stack Exchange (fitness.stackexchange.com) dataset of 7,228 users, 15,385 answer-collaboration edges, 10,217 questions, 19,171 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from fitness.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

84.9K records7.2K nodes15.4K edges2025

Stack Exchange — sound.stackexchange.com Analyzed

A Stack Exchange (sound.stackexchange.com) dataset of 6,955 users, 17,557 answer-collaboration edges, 10,047 questions, 26,050 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from sound.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

82.4K records7K nodes17.6K edges2025

Stack Exchange — anime.stackexchange.com Analyzed

A Stack Exchange (anime.stackexchange.com) dataset of 8,872 users, 15,025 answer-collaboration edges, 12,374 questions, 19,336 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from anime.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

81.9K records8.9K nodes15K edges2025

Stack Exchange — sitecore.stackexchange.com Analyzed

A Stack Exchange (sitecore.stackexchange.com) dataset of 3,237 users, 11,407 answer-collaboration edges, 12,980 questions, 16,210 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from sitecore.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

81K records3.2K nodes11.4K edges2025

Stack Exchange — craftcms.stackexchange.com Analyzed

A Stack Exchange (craftcms.stackexchange.com) dataset of 3,887 users, 11,241 answer-collaboration edges, 14,380 questions, 17,040 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from craftcms.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

80.9K records3.9K nodes11.2K edges2025

Amazon QA — Health & Personal Care Analyzed

A Amazon dataset of 80,496 QA pairs in Health & Personal Care, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Amazon product Q&A data for Health & Personal Care. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

80.5K records2016

Stack Exchange — expressionengine.stackexchange.com Analyzed

A Stack Exchange (expressionengine.stackexchange.com) dataset of 3,223 users, 11,592 answer-collaboration edges, 12,477 questions, 16,369 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from expressionengine.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

73.9K records3.2K nodes11.6K edges2025

Stack Exchange — outdoors.stackexchange.com Analyzed

A Stack Exchange (outdoors.stackexchange.com) dataset of 4,273 users, 10,653 answer-collaboration edges, 6,168 questions, 15,078 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from outdoors.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

73.5K records4.3K nodes10.7K edges2025

Stack Exchange — quantumcomputing.stackexchange.com Analyzed

A Stack Exchange (quantumcomputing.stackexchange.com) dataset of 3,978 users, 9,651 answer-collaboration edges, 11,179 questions, 12,778 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from quantumcomputing.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

70.2K records4K nodes9.7K edges2025

Stack Exchange — ai.stackexchange.com Analyzed

A Stack Exchange (ai.stackexchange.com) dataset of 6,708 users, 10,407 answer-collaboration edges, 12,380 questions, 12,460 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from ai.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

68.8K records6.7K nodes10.4K edges2025

Stack Exchange — matheducators.stackexchange.com Analyzed

A Stack Exchange (matheducators.stackexchange.com) dataset of 3,429 users, 9,787 answer-collaboration edges, 3,765 questions, 12,592 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from matheducators.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

64.1K records3.4K nodes9.8K edges2025

Stack Exchange — pm.stackexchange.com Analyzed

A Stack Exchange (pm.stackexchange.com) dataset of 6,338 users, 16,323 answer-collaboration edges, 6,398 questions, 19,238 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from pm.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

60.4K records6.3K nodes16.3K edges2025

Stack Exchange — reverseengineering.stackexchange.com Analyzed

A Stack Exchange (reverseengineering.stackexchange.com) dataset of 5,537 users, 9,002 answer-collaboration edges, 9,681 questions, 11,045 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from reverseengineering.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

60K records5.5K nodes9K edges2025

Amazon QA — Patio Lawn & Garden Analyzed

A Amazon dataset of 59,595 QA pairs in Patio Lawn & Garden, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Amazon product Q&A data for Patio Lawn & Garden. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

59.6K records2016

Stack Exchange — interpersonal.stackexchange.com Analyzed

A Stack Exchange (interpersonal.stackexchange.com) dataset of 4,538 users, 11,478 answer-collaboration edges, 3,929 questions, 14,381 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from interpersonal.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

58K records4.5K nodes11.5K edges2025

Stack Exchange — earthscience.stackexchange.com Analyzed

A Stack Exchange (earthscience.stackexchange.com) dataset of 4,025 users, 7,037 answer-collaboration edges, 7,117 questions, 8,846 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from earthscience.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

56.4K records4K nodes7K edges2025

Stack Exchange — pets.stackexchange.com Analyzed

A Stack Exchange (pets.stackexchange.com) dataset of 5,952 users, 10,148 answer-collaboration edges, 8,360 questions, 12,440 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from pets.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

56.4K records6K nodes10.1K edges2025

Stack Exchange — expatriates.stackexchange.com Analyzed

A Stack Exchange (expatriates.stackexchange.com) dataset of 4,535 users, 6,099 answer-collaboration edges, 7,861 questions, 7,946 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from expatriates.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

54.1K records4.5K nodes6.1K edges2025

Stack Exchange — avp.stackexchange.com Analyzed

A Stack Exchange (avp.stackexchange.com) dataset of 6,689 users, 9,259 answer-collaboration edges, 9,182 questions, 11,332 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from avp.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

53.1K records6.7K nodes9.3K edges2025

Stack Exchange — latin.stackexchange.com Analyzed

A Stack Exchange (latin.stackexchange.com) dataset of 2,307 users, 5,280 answer-collaboration edges, 6,484 questions, 9,333 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from latin.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

52.6K records2.3K nodes5.3K edges2025

Stack Exchange — joomla.stackexchange.com Analyzed

A Stack Exchange (joomla.stackexchange.com) dataset of 3,341 users, 7,652 answer-collaboration edges, 7,775 questions, 10,727 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from joomla.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

52.5K records3.3K nodes7.7K edges2025

Stack Exchange — russian.stackexchange.com Analyzed

A Stack Exchange (russian.stackexchange.com) dataset of 3,171 users, 8,366 answer-collaboration edges, 4,705 questions, 11,992 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from russian.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

52.4K records3.2K nodes8.4K edges2025

Stack Exchange — cogsci.stackexchange.com Analyzed

A Stack Exchange (cogsci.stackexchange.com) dataset of 4,150 users, 6,301 answer-collaboration edges, 8,053 questions, 8,390 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from cogsci.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

52.2K records4.2K nodes6.3K edges2025

Amazon QA — Toys & Games Analyzed

A Amazon dataset of 51,486 QA pairs in Toys & Games, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Amazon product Q&A data for Toys & Games. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

51.5K records2016

Stack Exchange — homebrew.stackexchange.com Analyzed

A Stack Exchange (homebrew.stackexchange.com) dataset of 3,985 users, 10,965 answer-collaboration edges, 6,179 questions, 14,159 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from homebrew.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

50.5K records4K nodes11K edges2025

Stack Exchange — health.stackexchange.com Analyzed

A Stack Exchange (health.stackexchange.com) dataset of 3,692 users, 5,430 answer-collaboration edges, 7,930 questions, 6,673 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from health.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

50.4K records3.7K nodes5.4K edges2025

Stack Exchange — tridion.stackexchange.com Analyzed

A Stack Exchange (tridion.stackexchange.com) dataset of 1,397 users, 6,518 answer-collaboration edges, 7,376 questions, 10,672 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from tridion.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

50K records1.4K nodes6.5K edges2025

Stack Exchange — literature.stackexchange.com Analyzed

A Stack Exchange (literature.stackexchange.com) dataset of 2,793 users, 4,729 answer-collaboration edges, 6,780 questions, 7,588 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from literature.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

47.6K records2.8K nodes4.7K edges2025

Stack Exchange — 3dprinting.stackexchange.com Analyzed

A Stack Exchange (3dprinting.stackexchange.com) dataset of 3,933 users, 7,014 answer-collaboration edges, 5,735 questions, 8,905 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from 3dprinting.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

46.9K records3.9K nodes7K edges2025

Stack Exchange — elementaryos.stackexchange.com Analyzed

A Stack Exchange (elementaryos.stackexchange.com) dataset of 6,245 users, 7,967 answer-collaboration edges, 8,252 questions, 10,051 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from elementaryos.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

45.6K records6.2K nodes8K edges2025

Stack Exchange — ham.stackexchange.com Analyzed

A Stack Exchange (ham.stackexchange.com) dataset of 3,040 users, 6,574 answer-collaboration edges, 4,734 questions, 8,891 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from ham.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

43.9K records3K nodes6.6K edges2025

Amazon QA — Office Products Analyzed

A Amazon dataset of 43,608 QA pairs in Office Products, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Amazon product Q&A data for Office Products. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

43.6K records2016

Stack Exchange — woodworking.stackexchange.com Analyzed

A Stack Exchange (woodworking.stackexchange.com) dataset of 2,752 users, 5,610 answer-collaboration edges, 4,134 questions, 7,409 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from woodworking.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

43.6K records2.8K nodes5.6K edges2025

Amazon QA — Beauty Analyzed

A Amazon dataset of 42,422 QA pairs in Beauty, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Amazon product Q&A data for Beauty. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

42.4K records2016

Stack Exchange — opensource.stackexchange.com Analyzed

A Stack Exchange (opensource.stackexchange.com) dataset of 3,715 users, 5,956 answer-collaboration edges, 4,763 questions, 6,882 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from opensource.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

41.7K records3.7K nodes6K edges2025

Stack Exchange — bioinformatics.stackexchange.com Analyzed

A Stack Exchange (bioinformatics.stackexchange.com) dataset of 2,673 users, 5,559 answer-collaboration edges, 6,093 questions, 7,551 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from bioinformatics.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

40.6K records2.7K nodes5.6K edges2025

Slack Software Conversations (MSR 2020) Analyzed

A Slack (software development communities) dataset of 40,010 messages across 5 programming language communities, collected by Chattopadhyay et al. for MSR 2020. Each record contains Slack message text, timestamp, speaker (anonymized), thread, community. Multi-community Slack dataset from software development channels, including Elmlang, Clojurians, Python, and Racket communities.. Suitable for conversation analysis, community dynamics, technical communication, linguistic analysis of developer chat.

40K records2020

Stack Exchange — lifehacks.stackexchange.com Analyzed

A Stack Exchange (lifehacks.stackexchange.com) dataset of 4,614 users, 9,656 answer-collaboration edges, 3,075 questions, 11,346 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from lifehacks.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

37.9K records4.6K nodes9.7K edges2025

Stack Exchange — hsm.stackexchange.com Analyzed

A Stack Exchange (hsm.stackexchange.com) dataset of 2,210 users, 4,367 answer-collaboration edges, 4,576 questions, 5,805 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from hsm.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

37.7K records2.2K nodes4.4K edges2025

Stack Exchange — sports.stackexchange.com Analyzed

A Stack Exchange (sports.stackexchange.com) dataset of 4,209 users, 7,047 answer-collaboration edges, 6,107 questions, 9,016 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from sports.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

37.7K records4.2K nodes7K edges2025