{
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  "Package": "restaurant",
  "Title": "Restaurant Data for Entity Resolution",
  "Version": "0.1.0",
  "Authors@R": "c(person(\"Rebecca\", \"Steorts\", email= \"beka@stat.duke.edu\", role=c(\"aut\", \"cre\")), person(\"Andee\", \"Kaplan\", email= \"andrea.kaplan@duke.edu\", role=\"aut\"), person(\"Srini\", \"Sunil\", email=\"srinivas.sunil@duke.edu\", role=\"aut\"))",
  "Description": "Duplicated restaurant data (pre-processed and formatted)\nfor entity resolution. This package contains formatted data\nfrom a data set that contains information about different\nrestaurants, with the Zagats portion containing 331 records and\nthe Fodors portion containing 533 records. The following\nvariables are included in the data set: id, name, address,\ncity, phone, type. The data set has a respective gold data set\nthat provides information on which records match based on id.",
  "URL": "https://github.com/resteorts/restaurant",
  "BugReports": "https://github.com/resteorts/restaurant/issues",
  "License": "CC0",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "6.0.1.9000",
  "Repository": "https://cleanzr.r-universe.dev",
  "Date/Publication": "2018-05-26 14:07:05 UTC",
  "RemoteUrl": "https://github.com/cleanzr/restaurant",
  "RemoteRef": "HEAD",
  "RemoteSha": "a38c037250a069c4aaf30be9c7e0234e8d560933",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-09 07:08:07 UTC",
    "User": "root"
  },
  "Author": "Rebecca Steorts [aut, cre],\nAndee Kaplan [aut],\nSrini Sunil [aut]",
  "Maintainer": "Rebecca Steorts <beka@stat.duke.edu>",
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    "committer": "Rebecca Steorts <beka@stat.duke.edu>",
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    "name": "Rebecca Steorts",
    "email": "beka@stat.duke.edu",
    "login": "resteorts",
    "description": "\n    Assistant Professor, Duke University, Department of Statistical Science\n",
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    "linkage"
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    "extra/citation.json",
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    "extra/contents.json",
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    "manual.pdf"
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  "_cranurl": true,
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      "date": "2020-10-22"
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      "title": "Restaurants data set",
      "object": "restaurant",
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        "tbl",
        "data.frame"
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        "name",
        "addr",
        "city",
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        "class"
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