<?xml version="1.0" encoding="UTF-8"?>
<resource xmlns="http://datacite.org/schema/kernel-4" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.5/metadata.xsd">
  <identifier identifierType="DOI">10.7910/DVN/A8ZWLF</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Bigelow, Eric J.</creatorName>
      <givenName>Eric J.</givenName>
      <familyName>Bigelow</familyName>
      <affiliation>University of Rochester</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Piantadosi, Steven T.</creatorName>
      <givenName>Steven T.</givenName>
      <familyName>Piantadosi</familyName>
      <affiliation>University of Rochester</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Large Dataset of Generalization Patterns in the Number Game</title>
  </titles>
  <publisher>Harvard Dataverse</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Social Sciences</subject>
    <subject>Generalization; Bayesian inference; Structured cognitive model; Numerical cognition; Concept learning</subject>
  </subjects>
  <contributors>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Bigelow, Eric J.</contributorName>
      <givenName>Eric J.</givenName>
      <familyName>Bigelow</familyName>
      <affiliation>University of Rochester</affiliation>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Piantadosi, Steven T.</contributorName>
      <givenName>Steven T.</givenName>
      <familyName>Piantadosi</familyName>
      <affiliation>University of Rochester</affiliation>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Submitted">2015-05-19</date>
    <date dateType="Available">2018-08-10</date>
    <date dateType="Collected">2015-03-27/2015-04-14</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <relatedIdentifiers>
    <relatedIdentifier relationType="IsSupplementTo" schemeURI="http://web.mit.edu" relatedIdentifierType="URL">/cocosci/Papers/nips99preprint.pdf</relatedIdentifier>
    <relatedIdentifier relationType="IsSupplementTo" schemeURI="http://dspace.mit.edu" relatedIdentifierType="URL">/handle/1721.1/16714</relatedIdentifier>
    <relatedIdentifier relationType="IsSupplementTo" schemeURI="http://web.mit.edu" relatedIdentifierType="URL">/cocosci/Papers/tenenbaum_griffiths01.pdf</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/A8ZWLF/ULBSRI</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/A8ZWLF/M9XUUU</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/A8ZWLF/NNK3TF</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/A8ZWLF/C7QCAB</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/A8ZWLF/ZZIMMY</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/A8ZWLF/HZAJPY</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/A8ZWLF/MLANWA</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/A8ZWLF/GJU3YA</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/A8ZWLF/WYCLQQ</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.7910/DVN/A8ZWLF/6Q2Q4O</relatedIdentifier>
  </relatedIdentifiers>
  <sizes>
    <size>21003</size>
    <size>237408</size>
    <size>603</size>
    <size>1434</size>
    <size>1075</size>
    <size>1678</size>
    <size>24821322</size>
    <size>115115</size>
    <size>178480</size>
    <size>4503</size>
  </sizes>
  <formats>
    <format>text/tab-separated-values</format>
    <format>application/pdf</format>
    <format>text/plain; charset=US-ASCII</format>
    <format>text/plain; charset=US-ASCII</format>
    <format>text/x-python-script</format>
    <format>text/plain; charset=US-ASCII</format>
    <format>text/tab-separated-values</format>
    <format>text/tab-separated-values</format>
    <format>text/tab-separated-values</format>
    <format>text/plain</format>
  </formats>
  <version>1.0</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess"/>
    <rights rightsURI="http://creativecommons.org/publicdomain/zero/1.0" rightsIdentifier="CC0-1.0" rightsIdentifierScheme="SPDX" schemeURI="https://spdx.org/licenses/" xml:lang="en">Creative Commons CC0 1.0 Universal Public Domain Dedication.</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">272,700 two-alternative forced choice responses in a simple numerical task modeled after Tenenbaum (1999, 2000), collected from 606 Amazon Mechanical Turk workers. Subjects were shown sets of numbers length 1 to 4 from the range 1 to 100 (e.g. {12, 16}), and asked what other numbers were likely to belong to that set (e.g. 1, 5, 2, 98). Their generalization patterns reflect both rule-like (e.g. “even numbers,” “powers of two”) and distance-based (e.g. numbers near 50) generalization. This data set is available for further analysis of these simple and intuitive inferences, developing of hands-on modeling instruction, and attempts to understand how probability and rules interact in human cognition.</description>
    <description descriptionType="Other">Technical report describing this dataset to be reviewed by Journal of Open Psychology Data (JOPD). </description>
  </descriptions>
</resource>
