H-Huang/complex_word_identification huggingface dataset:
Main-sequence stars vary in surface temperature from approximately 2,000 to 50,000 K , whereas more-evolved stars can have temperatures above 100,000 K. Physically , the classes indicate the temperature of the star 's atmosphere and are normally listed from hottest to coldest , as is done in the following table .
Target word: Main-sequence — judged complex by 4 of 10 native annotators and 5 of 10 non-native annotators (probability complex: 0.45)
Target word: Main-sequence stars — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: surface — judged complex by 1 of 10 native annotators and 1 of 10 non-native annotators (probability complex: 0.1)
Target word: stars — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: vary — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: surface temperature — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: temperature — judged complex by 3 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.15)
Target word: approximately — judged complex by 2 of 10 native annotators and 1 of 10 non-native annotators (probability complex: 0.15)
Target word: whereas — judged complex by 2 of 10 native annotators and 2 of 10 non-native annotators (probability complex: 0.2)
Target word: more-evolved — judged complex by 3 of 10 native annotators and 3 of 10 non-native annotators (probability complex: 0.3)
Target word: more-evolved stars — judged complex by 0 of 10 native annotators and 1 of 10 non-native annotators (probability complex: 0.05)
Target word: temperatures — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: stars — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Physically — judged complex by 2 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.1)
Target word: indicate — judged complex by 1 of 10 native annotators and 4 of 10 non-native annotators (probability complex: 0.25)
Target word: classes — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: atmosphere — judged complex by 7 of 10 native annotators and 1 of 10 non-native annotators (probability complex: 0.4)
Target word: temperature — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: star — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: normally — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: listed — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: hottest — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Main-sequence stars vary in surface temperature from approximately 2,000 to 50,000 K , whereas more-evolved stars can have temperatures above 100,000 K. Physically , the classes indicate the temperature of the star 's atmosphere and are normally listed from hottest to coldest , as is done in the following table .
Target word: coldest — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: table — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
While some users can use them to circumvent censorship or filters , they have been used far too many times by far too many blocked vandals for Wikipedians to assume good faith on their part .
Target word: circumvent — judged complex by 9 of 10 native annotators and 7 of 10 non-native annotators (probability complex: 0.8)
Target word: users — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: circumvent censorship — judged complex by 2 of 10 native annotators and 2 of 10 non-native annotators (probability complex: 0.2)
Target word: censorship — judged complex by 6 of 10 native annotators and 3 of 10 non-native annotators (probability complex: 0.45)
Target word: filters — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: blocked vandals — judged complex by 0 of 10 native annotators and 1 of 10 non-native annotators (probability complex: 0.05)
Target word: times — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: blocked — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: vandals — judged complex by 5 of 10 native annotators and 3 of 10 non-native annotators (probability complex: 0.4)
Target word: Wikipedians — judged complex by 2 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.1)
Target word: assume — judged complex by 2 of 10 native annotators and 2 of 10 non-native annotators (probability complex: 0.2)
Target word: good faith — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: good — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: faith — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: part — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
In May 1997 he was appointed to the Trial Division of the Supreme Court of Victoria , and in October 1998 to the Court of Appeal of that Court .
Target word: appointed — judged complex by 7 of 10 native annotators and 3 of 10 non-native annotators (probability complex: 0.5)
Target word: May — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Trial — judged complex by 2 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.1)
Target word: Trial Division — judged complex by 2 of 10 native annotators and 1 of 10 non-native annotators (probability complex: 0.15)
Target word: Trial Division of the Supreme Court — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: Supreme — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Division — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Supreme Court — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: Court of Appeal — judged complex by 3 of 10 native annotators and 3 of 10 non-native annotators (probability complex: 0.3)
Target word: Court — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Victoria — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: October — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Court — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Appeal — judged complex by 1 of 10 native annotators and 2 of 10 non-native annotators (probability complex: 0.15)
Target word: Court — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
He was elected the 20th Chancellor of the University of Melbourne in January 2009 , serving in that office until he resigned to take up the office of Governor of Victoria .
Target word: elected — judged complex by 1 of 10 native annotators and 1 of 10 non-native annotators (probability complex: 0.1)
Target word: Chancellor — judged complex by 6 of 10 native annotators and 5 of 10 non-native annotators (probability complex: 0.55)
Target word: University — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: serving — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: Melbourne — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: January — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: resigned — judged complex by 7 of 10 native annotators and 8 of 10 non-native annotators (probability complex: 0.75)
Target word: office — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: to take up — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: Governor — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: office — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Victoria — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
On 21 February 2011 , it was announced that he would become the 28th Governor of Victoria .
Target word: announced — judged complex by 4 of 10 native annotators and 3 of 10 non-native annotators (probability complex: 0.35)
Target word: February — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Governor — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: Victoria — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Chernov was appointed Queen 's Counsel in and for the State of Victoria in 1980 .
Target word: Chernov — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: appointed — judged complex by 3 of 10 native annotators and 1 of 10 non-native annotators (probability complex: 0.2)
Target word: Counsel — judged complex by 2 of 10 native annotators and 5 of 10 non-native annotators (probability complex: 0.35)
Target word: Queen — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: State — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Victoria — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Chernov was created an Officer of the Order of Australia in the 2007 Queen 's Birthday Honours list for service to the law and education .
Target word: Chernov — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: created — judged complex by 0 of 10 native annotators and 2 of 10 non-native annotators (probability complex: 0.1)
Target word: Officer — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: Order of Australia — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: Order — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Birthday Honours — judged complex by 0 of 10 native annotators and 1 of 10 non-native annotators (probability complex: 0.05)
Target word: Australia — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Queen — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Birthday — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Honours — judged complex by 5 of 10 native annotators and 3 of 10 non-native annotators (probability complex: 0.4)
Target word: Honours list — judged complex by 0 of 10 native annotators and 3 of 10 non-native annotators (probability complex: 0.15)
Target word: education — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: list — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: service — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: law — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
On 26 January 2011 , Chernov was named a Companion of the Order of Australia .
Target word: Chernov — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: January — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Companion — judged complex by 4 of 10 native annotators and 7 of 10 non-native annotators (probability complex: 0.55)
Target word: named — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Companion of the Order — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: Companion of the Order of Australia — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: Order — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Australia — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
The bean was first unearthed at Awazu-kotei Ruin of Japanese mid Jōmon period in 4000BC , and later it was commonly found on many Jomon ruins in 4000BC to 2000BC in Japan .
Target word: bean — judged complex by 0 of 10 native annotators and 1 of 10 non-native annotators (probability complex: 0.05)
Target word: unearthed — judged complex by 9 of 10 native annotators and 10 of 10 non-native annotators (probability complex: 0.95)
Target word: Awazu-kotei — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: Ruin — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: Jōmon — judged complex by 2 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.1)
Target word: Japanese — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: mid — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Jomon — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: period — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: commonly — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: found — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: ruins — judged complex by 1 of 10 native annotators and 3 of 10 non-native annotators (probability complex: 0.2)
Target word: Japan — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
In particular , it is often boiled with sugar , resulting in red bean paste ( an ) , a very common ingredient in all of these cuisines .
Target word: particular — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: boiled — judged complex by 1 of 10 native annotators and 2 of 10 non-native annotators (probability complex: 0.15)
Target word: resulting — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: sugar — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: ingredient — judged complex by 4 of 10 native annotators and 6 of 10 non-native annotators (probability complex: 0.5)
Target word: red — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: bean — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: paste — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: common — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: cuisines — judged complex by 8 of 10 native annotators and 6 of 10 non-native annotators (probability complex: 0.7)
In Japan , rice with azuki beans ( 赤飯 ; sekihan ) is traditionally cooked for auspicious occasions .
Target word: azuki — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: Japan — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: rice — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: azuki beans — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: sekihan — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: beans — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: traditionally — judged complex by 1 of 10 native annotators and 2 of 10 non-native annotators (probability complex: 0.15)
Target word: auspicious — judged complex by 10 of 10 native annotators and 8 of 10 non-native annotators (probability complex: 0.9)
Target word: cooked — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: auspicious occasions — judged complex by 2 of 10 native annotators and 1 of 10 non-native annotators (probability complex: 0.15)
Target word: occasions — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Gingerbread was brought to Europe in 992 by the Armenian monk Gregory of Nicopolis ( Gregory Makar ) ( Grégoire de Nicopolis ) .
Target word: Gingerbread — judged complex by 3 of 10 native annotators and 1 of 10 non-native annotators (probability complex: 0.2)
Target word: Armenian — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: brought — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Europe — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: monk — judged complex by 1 of 10 native annotators and 3 of 10 non-native annotators (probability complex: 0.2)
Target word: Nicopolis — judged complex by 1 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.05)
Target word: Gregory — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Nicopolis — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Gregory — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Makar — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: Grégoire — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: de — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
The first documented trade of gingerbread biscuits dates to the 17th century , where they were sold in monasteries , pharmacies and town square farmers ' markets .
Target word: documented — judged complex by 4 of 10 native annotators and 1 of 10 non-native annotators (probability complex: 0.25)
Target word: documented trade — judged complex by 0 of 10 native annotators and 1 of 10 non-native annotators (probability complex: 0.05)
Target word: gingerbread — judged complex by 0 of 10 native annotators and 1 of 10 non-native annotators (probability complex: 0.05)
Target word: trade — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: biscuits — judged complex by 3 of 10 native annotators and 1 of 10 non-native annotators (probability complex: 0.2)
Target word: monasteries — judged complex by 10 of 10 native annotators and 9 of 10 non-native annotators (probability complex: 0.95)
Target word: dates — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: century — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: sold — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word:  pharmacies — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: pharmacies — judged complex by 6 of 10 native annotators and 3 of 10 non-native annotators (probability complex: 0.45)
Target word: town — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: square — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: farmers — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)
Target word: markets — judged complex by 0 of 10 native annotators and 0 of 10 non-native annotators (probability complex: 0.0)