<codeBook xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5" xml:lang="en" xmlns="ddi:codebook:2_5">
  <docDscr>
    <citation>
      <titlStmt>
        <titl xml:lang="en">Replication Data for: 4000 AI tools - 50 categories - TasticAI</titl>
        <IDNo agency="DOI">doi:10.34934/DVN/KW6BV5</IDNo>
      </titlStmt>
      <distStmt>
        <distrbtr source="archive">Social Sciences and Digital Humanities Archive &#x2013; SODHA</distrbtr>
        <distDate>2025-02-27</distDate>
      </distStmt>
      <verStmt source="archive">
        <version date="2025-02-27" type="RELEASED">1</version>
      </verStmt>
      <biblCit>BUREAU, Olivier, 2025, "Replication Data for: 4000 AI tools - 50 categories - TasticAI", https://doi.org/10.34934/DVN/KW6BV5, Social Sciences and Digital Humanities Archive &#x2013; SODHA, V1, UNF:6:0OQxqyCsirkXlwENiEcEcQ== [fileUNF]</biblCit>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl xml:lang="en">Replication Data for: 4000 AI tools - 50 categories - TasticAI</titl>
        <IDNo agency="DOI">doi:10.34934/DVN/KW6BV5</IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="TasticAI" xml:lang="en">BUREAU, Olivier</AuthEnty>
      </rspStmt>
      <prodStmt/>
      <distStmt>
        <distrbtr source="archive" xml:lang="en">Social Sciences and Digital Humanities Archive &#x2013; SODHA</distrbtr>
        <contact>BUREAU, Olivier</contact>
        <depositr>BUREAU, Olivier</depositr>
        <depDate>2023-09-21</depDate>
        <distDate date="2025-02-27">2025-02-27</distDate>
      </distStmt>
      <holdings URI="https://doi.org/10.34934/DVN/KW6BV5"/>
    </citation>
    <stdyInfo>
      <subject>
        <keyword xml:lang="en" vocab="none">Computer and Information Science</keyword>
        <keyword xml:lang="en" vocab="none">Engineering</keyword>
      </subject>
      <abstract date="2023-09-21" xml:lang="en">Introducing an extensive and openly accessible dataset custom-tailored for AI researchers and data scientists, this repository encompasses an impressive array of over 4,000 AI tools, meticulously categorized into more than 50 distinct classifications, generously made available by &lt;a href="https://tasticai.com"&gt;TasticAI&lt;/a&gt; to facilitate diverse applications such as research, benchmarking, and market surveys.

&lt;b&gt;Overview of the Dataset:&lt;/b&gt;

&lt;b&gt;Nomenclature of AI Tools:&lt;/b&gt;&lt;br&gt; Each AI tool has been systematically assigned a unique name to facilitate facile reference.&lt;br&gt;
&lt;b&gt;Concise Descriptions:&lt;/b&gt;&lt;br&gt; Succinct one-line descriptions provide an overview of the intended purpose and functional attributes of each AI tool.&lt;br&gt;
&lt;b&gt;Comprehensive Categorization of AI Tools:&lt;/b&gt;&lt;br&gt; With careful consideration, these tools have been thoughtfully grouped into more than 50 specific categories, accommodating a wide spectrum of research interests.&lt;br&gt;
&lt;b&gt;Visual Aids:&lt;/b&gt;&lt;br&gt; Complementing textual information, visual representations are included alongside each AI tool, expediting the process of identification.&lt;br&gt;
&lt;b&gt;Web Links:&lt;/b&gt;&lt;br&gt; Direct hyperlinks to associated tool websites or documentation have been thoughtfully integrated, streamlining access to detailed information.&lt;br&gt;
&lt;b&gt;Utilization and Advantages:&lt;/b&gt;&lt;br&gt; This dataset serves a multitude of purposes:&lt;br&gt;
&lt;b&gt;Research Facilitation:&lt;/b&gt;&lt;br&gt; Researchers can promptly discern pertinent AI tools, significantly expediting literature reviews and enabling comparative analyses.&lt;br&gt;
&lt;b&gt;Performance Benchmarking:&lt;/b&gt;&lt;br&gt; Rigorous evaluation and comparative assessments are made feasible within and across specific tool categories.&lt;br&gt;
&lt;b&gt;Market Insight:&lt;/b&gt;&lt;br&gt; This dataset offers valuable insights into the landscape of AI tools, enabling informed decision-making for market analysts.&lt;br&gt;
&lt;b&gt;Educational Endeavors:&lt;/b&gt;&lt;br&gt; Ideal for pedagogical purposes, educators and students can leverage this dataset to enrich their understanding of AI tools and their multifaceted applications.&lt;br&gt;</abstract>
      <sumDscr/>
    </stdyInfo>
    <method>
      <dataColl>
        <sources/>
      </dataColl>
      <anlyInfo/>
    </method>
    <dataAccs>
      <notes type="DVN:TOU" level="dv">&lt;a rel="license" href="http://creativecommons.org/licenses/by/4.0/"&gt;&lt;img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /&gt;&lt;/a&gt;&lt;br /&gt;This work is licensed under a &lt;a rel="license" href="http://creativecommons.org/licenses/by/4.0/"&gt;Creative Commons Attribution 4.0 International License&lt;/a&gt; (CC-BY).</notes>
      <setAvail/>
      <useStmt/>
    </dataAccs>
    <othrStdyMat/>
  </stdyDscr>
  <fileDscr ID="f4510" URI="https://www.sodha.be/api/access/datafile/4510">
    <fileTxt>
      <fileName>Tastic AI - Opensource - AI tools.tab</fileName>
      <dimensns>
        <caseQnty>4665</caseQnty>
        <varQnty>7</varQnty>
      </dimensns>
      <fileType>text/tab-separated-values</fileType>
    </fileTxt>
    <notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:0OQxqyCsirkXlwENiEcEcQ==</notes>
  </fileDscr>
  <dataDscr>
    <var ID="v77646" name="title" intrvl="discrete">
      <location fileid="f4510"/>
      <labl level="variable">title</labl>
      <varFormat type="character"/>
      <notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:OswqYzydAg6xH3hm+qSUVA==</notes>
    </var>
    <var ID="v77651" name="minidesc" intrvl="discrete">
      <location fileid="f4510"/>
      <labl level="variable">minidesc</labl>
      <varFormat type="character"/>
      <notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:4+Pi3ioDYMLVYfBz+oI8dA==</notes>
    </var>
    <var ID="v77649" name="desc" intrvl="discrete">
      <location fileid="f4510"/>
      <labl level="variable">desc</labl>
      <varFormat type="character"/>
      <notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:u+UHEwR+OamithGP8KtKcA==</notes>
    </var>
    <var ID="v77647" name="cat" intrvl="discrete">
      <location fileid="f4510"/>
      <labl level="variable">cat</labl>
      <varFormat type="character"/>
      <notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:WPN5sF8ty1+MRPhm02CeXQ==</notes>
    </var>
    <var ID="v77648" name="new_image" intrvl="discrete">
      <location fileid="f4510"/>
      <labl level="variable">new_image</labl>
      <varFormat type="character"/>
      <notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gbw9AogDSvcJhak8swn87Q==</notes>
    </var>
    <var ID="v77650" name="url-href" intrvl="discrete">
      <location fileid="f4510"/>
      <labl level="variable">url-href</labl>
      <varFormat type="character"/>
      <notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:5c/fRt2nCBzbDH3N44Rm3g==</notes>
    </var>
    <var ID="v77652" name="vote" intrvl="discrete">
      <location fileid="f4510"/>
      <labl level="variable">vote</labl>
      <sumStat type="mode">.</sumStat>
      <sumStat type="vald">4664.0</sumStat>
      <sumStat type="invd">1.0</sumStat>
      <sumStat type="mean">86.91359348198642</sumStat>
      <sumStat type="max">4813.0</sumStat>
      <sumStat type="min">0.0</sumStat>
      <sumStat type="stdev">245.73504043199387</sumStat>
      <sumStat type="medn">24.0</sumStat>
      <varFormat type="numeric"/>
      <notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:phQ1DMwY7Cgl8UCakYAcIQ==</notes>
    </var>
  </dataDscr>
  <otherMat ID="f4511" URI="https://www.sodha.be/api/access/datafile/4511" level="datafile">
    <labl>ai tool summary.png</labl>
    <notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">image/png</notes>
  </otherMat>
</codeBook>
