/usr/share/gretl/data/misc/ooballot.gdt is in gretl-data 2016a-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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<!DOCTYPE gretldata SYSTEM "gretldata.dtd">
<gretldata version="1.3" name="ooballot" frequency="1" startobs="1" endobs="87" type="cross-section">
<description>Votes on ratification of Microsoft's "Office Open XML" as an ISO
standard, September 2007, plus information on the ISO status of
the countries concerned and their corruption level as measured by
Transparency International's 2006 CPI index (Corruption Perceptions
Index). See http://www.effi.org/blog/kai-2007-09-05.en.html ; also
http://www.groklaw.net/staticpages/index.php?page=20051216153153504
Vote: codification of the country's vote: 0 = Disapproval, 1 =
Abstention; 2 = Approval with comments; 3 = Approval (outright)
Status: 0 = No formal ISO status; 1 = Observer status, 2 = Participant
status, 3 = Secretariat (USA)
CPI: Corruption Perceptions Index: range 1 to 10: low values indicate
high perceived corruption.
</description>
<variables count="3">
<variable name="Vote"
label="0 = Disapproval to 3 = unconditional Approval"
discrete="true"
/>
<variable name="Status"
label="Country's ISO status code"
discrete="true"
/>
<variable name="CPI"
label="Corruption perceptions index (lower = more corruption)"
/>
</variables>
<observations count="87" labels="true">
<obs label="Finland">1 2 9.6 </obs>
<obs label="NewZealand">0 2 9.6 </obs>
<obs label="Denmark">0 2 9.5 </obs>
<obs label="Singapore">2 2 9.4 </obs>
<obs label="Switzerland">2 2 9.1 </obs>
<obs label="Norway">0 2 8.8 </obs>
<obs label="Australia">1 2 8.7 </obs>
<obs label="Netherlands">1 2 8.7 </obs>
<obs label="Austria">2 1 8.6 </obs>
<obs label="Luxembourg">1 1 8.6 </obs>
<obs label="UK">0 2 8.6 </obs>
<obs label="Canada">0 2 8.5 </obs>
<obs label="Germany">2 2 8 </obs>
<obs label="Japan">0 2 7.6 </obs>
<obs label="France">0 2 7.4 </obs>
<obs label="Ireland">0 2 7.4 </obs>
<obs label="Belgium">1 2 7.3 </obs>
<obs label="Chile">1 1 7.3 </obs>
<obs label="USA">2 3 7.3 </obs>
<obs label="Spain">1 2 6.8 </obs>
<obs label="Barbados">3 0 6.7 </obs>
<obs label="Portugal">2 1 6.6 </obs>
<obs label="Malta">2 2 6.4 </obs>
<obs label="Slovenia">1 2 6.4 </obs>
<obs label="Uruguay">2 2 6.4 </obs>
<obs label="UAE">3 0 6.2 </obs>
<obs label="Qatar">3 0 6 </obs>
<obs label="Israel">1 1 5.9 </obs>
<obs label="Cyprus">3 2 5.6 </obs>
<obs label="Jordan">2 0 5.3 </obs>
<obs label="Mauritius">1 0 5.1 </obs>
<obs label="KoreanRepublic">0 2 5.1 </obs>
<obs label="Malaysia">1 2 5 </obs>
<obs label="Italy">1 2 4.9 </obs>
<obs label="CzechRepublic">0 2 4.8 </obs>
<obs label="Kuwait">3 0 4.8 </obs>
<obs label="SouthAfrica">0 2 4.6 </obs>
<obs label="Tunisia">2 1 4.6 </obs>
<obs label="Greece">2 1 4.4 </obs>
<obs label="CostaRica">3 1 4.1 </obs>
<obs label="Bulgaria">2 1 4 </obs>
<obs label="Colombia">2 1 3.9 </obs>
<obs label="Turkey">2 2 3.8 </obs>
<obs label="Jamaica">3 2 3.7 </obs>
<obs label="Poland">2 1 3.7 </obs>
<obs label="Lebanon">3 2 3.6 </obs>
<obs label="Thailand">0 1 3.6 </obs>
<obs label="Cuba">3 1 3.5 </obs>
<obs label="Croatia">3 1 3.4 </obs>
<obs label="Brazil">0 1 3.3 </obs>
<obs label="China">0 2 3.3 </obs>
<obs label="Egypt">3 1 3.3 </obs>
<obs label="Ghana">2 0 3.3 </obs>
<obs label="India">0 2 3.3 </obs>
<obs label="Mexico">1 1 3.3 </obs>
<obs label="Peru">1 1 3.3 </obs>
<obs label="SaudiArabia">3 2 3.3 </obs>
<obs label="Morocco">3 1 3.2 </obs>
<obs label="TrinidadTobago">1 2 3.2 </obs>
<obs label="Panama">3 0 3.1 </obs>
<obs label="Romania">3 1 3.1 </obs>
<obs label="SriLanka">3 1 3.1 </obs>
<obs label="Serbia">3 1 3 </obs>
<obs label="Argentina">1 1 2.9 </obs>
<obs label="Armenia">3 1 2.9 </obs>
<obs label="BosniaHerzegovi">3 0 2.9 </obs>
<obs label="Syria">3 0 2.9 </obs>
<obs label="Tanzania">3 0 2.9 </obs>
<obs label="Ukraine">3 1 2.8 </obs>
<obs label="Iran">0 2 2.7 </obs>
<obs label="Kazakhstan">3 2 2.6 </obs>
<obs label="VietNam">1 1 2.6 </obs>
<obs label="Philippines">0 1 2.5 </obs>
<obs label="Russia">3 1 2.5 </obs>
<obs label="Azerbaijan">3 2 2.4 </obs>
<obs label="Zimbabwe">1 0 2.4 </obs>
<obs label="Ecuador">0 2 2.3 </obs>
<obs label="Venezuela">2 2 2.3 </obs>
<obs label="Congo">3 0 2.2 </obs>
<obs label="Kenya">2 2 2.2 </obs>
<obs label="Nigeria">3 0 2.2 </obs>
<obs label="Pakistan">3 2 2.2 </obs>
<obs label="Belarus">3 1 2.1 </obs>
<obs label="CotedIvoire">3 2 2.1 </obs>
<obs label="Uzbekistan">3 0 2.1 </obs>
<obs label="Bangladesh">3 0 2 </obs>
<obs label="Fiji">3 0 NA </obs>
</observations>
</gretldata>
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