H-Huang/complex_word_identification huggingface dataset:
We had the ants in an observation nest, and I could just look at them for hours, watching them go about.
Target word: observation (marked complex by 7 of 10 native annotators; complexity score 0.5)
Target word: ants (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: observation nest (marked complex by 2 of 10 native annotators; complexity score 0.15)
Target word: nest (marked complex by 0 of 10 native annotators; complexity score 0.1)
Target word: go about (marked complex by 1 of 10 native annotators; complexity score 0.05)
Target word: hours (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: watching (marked complex by 0 of 10 native annotators; complexity score 0.0)
This was in my third year of Biology study I think.
Target word: Biology (marked complex by 4 of 10 native annotators; complexity score 0.25)
Target word: year (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: study (marked complex by 0 of 10 native annotators; complexity score 0.0)
After a while I needed to start thinking about an internship for my M.Sc.
Target word: internship (marked complex by 10 of 10 native annotators; complexity score 1.0)
Target word: needed (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: start (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: thinking (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: M.Sc (marked complex by 2 of 10 native annotators; complexity score 0.1)
studies, and decided to write a couple of professors.
Target word: decided (marked complex by 0 of 10 native annotators; complexity score 0.05)
Target word: studies (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: couple (marked complex by 0 of 10 native annotators; complexity score 0.05)
Target word: write (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: professors (marked complex by 3 of 10 native annotators; complexity score 0.25)
I ended up going to the Centre for Social Evolution at the University of Copenhagen where I did a project on learning in Ants under supervision of Prof. Patrizia d'Ettorre.
Target word: Social Evolution (marked complex by 1 of 10 native annotators; complexity score 0.15)
Target word: ended (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Centre (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Social (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Evolution (marked complex by 2 of 10 native annotators; complexity score 0.15)
Target word: Copenhagen (marked complex by 1 of 10 native annotators; complexity score 0.05)
Target word: University (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: project (marked complex by 1 of 10 native annotators; complexity score 0.1)
Target word: supervision (marked complex by 4 of 10 native annotators; complexity score 0.45)
Target word: learning (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Ants (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Patrizia (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: d'Ettorre (marked complex by 0 of 10 native annotators; complexity score 0.0)
I liked it so much there I ended up doing a PhD and I've been working on social insects ever since.
Target word: ended up (marked complex by 0 of 10 native annotators; complexity score 0.05)
Target word: ended (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: PhD (marked complex by 1 of 10 native annotators; complexity score 0.05)
Target word: social (marked complex by 1 of 10 native annotators; complexity score 0.05)
Target word: 've (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: working (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: social insects (marked complex by 3 of 10 native annotators; complexity score 0.3)
Target word: insects (marked complex by 1 of 10 native annotators; complexity score 0.05)
Conley was asked about his son, Nate, by KPRC's Robert Arnold.
Target word: Conley (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: asked (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: son (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Nate (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: KPRC (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Robert (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Arnold (marked complex by 0 of 10 native annotators; complexity score 0.0)
"I love Nate.
Target word: love (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Nate (marked complex by 0 of 10 native annotators; complexity score 0.0)
I love Nate to death," Conley replied.
Target word: replied (marked complex by 1 of 10 native annotators; complexity score 0.05)
Target word: love (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Nate (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: death (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Conley (marked complex by 0 of 10 native annotators; complexity score 0.0)
"Nate didn't give me any respect because of what his mother was doing to me[...] She was cheating on me."
Target word: respect (marked complex by 1 of 10 native annotators; complexity score 0.2)
Target word: Nate (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: n't (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: give (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: cheating (marked complex by 7 of 10 native annotators; complexity score 0.65)
Target word: mother (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: cheating on me (marked complex by 0 of 10 native annotators; complexity score 0.05)
Saying his lawyer had instructed him not to speak about the events of Saturday inside the home, Conley did have the following to say about the Jackson children: "They were growing up to be monsters, they were disrespectful, rude in school.
Target word: instructed (marked complex by 8 of 10 native annotators; complexity score 0.7)
Target word: Saying (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: lawyer (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: events (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: speak (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: following (marked complex by 2 of 10 native annotators; complexity score 0.1)
Target word: Saturday (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: home (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Conley (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Jackson (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: growing up (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: children (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: growing (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: monsters (marked complex by 6 of 10 native annotators; complexity score 0.7)
Target word: disrespectful (marked complex by 10 of 10 native annotators; complexity score 0.75)
Target word: rude (marked complex by 4 of 10 native annotators; complexity score 0.45)
Target word: rude in school (marked complex by 0 of 10 native annotators; complexity score 0.05)
Target word: school (marked complex by 0 of 10 native annotators; complexity score 0.0)
I'm not saying they're dead because of that.
Target word: 'm (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: 're (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: dead (marked complex by 0 of 10 native annotators; complexity score 0.0)
I'm not even saying I killed them."
Target word: killed (marked complex by 0 of 10 native annotators; complexity score 0.05)
Target word: 'm (marked complex by 0 of 10 native annotators; complexity score 0.0)
Conley added, "God says in the Bible do not disrespect your mother and father or your days will be short, but I'm not saying that's what happened."
Target word: disrespect (marked complex by 6 of 10 native annotators; complexity score 0.4)
Target word: Conley (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: added (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: God (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Bible (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: happened (marked complex by 3 of 10 native annotators; complexity score 0.2)
Target word: mother (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: father (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: days (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: short (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: 'm (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: 's (marked complex by 0 of 10 native annotators; complexity score 0.0)
The violence is thought to have started after a brief attempt by police to arrest protest leader Hardik Patel, 22 or 21.
Target word: violence (marked complex by 5 of 10 native annotators; complexity score 0.5)
Target word: thought to have started (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: thought (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: brief (marked complex by 2 of 10 native annotators; complexity score 0.2)
Target word: started (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: brief attempt (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: attempt (marked complex by 1 of 10 native annotators; complexity score 0.1)
Target word: arrest (marked complex by 1 of 10 native annotators; complexity score 0.05)
Target word: police (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: protest (marked complex by 6 of 10 native annotators; complexity score 0.35)
Target word: protest leader (marked complex by 0 of 10 native annotators; complexity score 0.1)
Target word: Hardik (marked complex by 1 of 10 native annotators; complexity score 0.05)
Target word: leader (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Hardik Patel (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Patel (marked complex by 0 of 10 native annotators; complexity score 0.0)
There have been weeks of protests by members of the Patel caste, with the most recent involving an estimated half a million people.
Target word: protests (marked complex by 1 of 10 native annotators; complexity score 0.1)
Target word: weeks (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Patel caste (marked complex by 0 of 10 native annotators; complexity score 0.05)
Target word: members (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Patel (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: caste (marked complex by 1 of 10 native annotators; complexity score 0.1)
Target word: involving (marked complex by 0 of 10 native annotators; complexity score 0.05)
Target word: recent (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: an estimated (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: estimated (marked complex by 5 of 10 native annotators; complexity score 0.4)
Target word: million (marked complex by 0 of 10 native annotators; complexity score 0.05)
Target word: people (marked complex by 0 of 10 native annotators; complexity score 0.0)
Ahmedabad, the largest city in the state, has seen the closure of public transport, internet access, schools, and businesses.
Target word: Ahmedabad (marked complex by 1 of 10 native annotators; complexity score 0.05)
Target word: closure (marked complex by 4 of 10 native annotators; complexity score 0.35)
Target word: largest (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: city (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: state (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: transport (marked complex by 1 of 10 native annotators; complexity score 0.05)
Target word: public (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: internet access (marked complex by 1 of 10 native annotators; complexity score 0.05)
Target word: internet (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: access (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: businesses (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: schools (marked complex by 0 of 10 native annotators; complexity score 0.0)
Ahmedabad is being patrolled by 400 military personnel.
Target word: Ahmedabad (marked complex by 1 of 10 native annotators; complexity score 0.05)
Target word: patrolled (marked complex by 3 of 10 native annotators; complexity score 0.55)
Target word: military personnel (marked complex by 1 of 10 native annotators; complexity score 0.05)
Target word: military (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: personnel (marked complex by 4 of 10 native annotators; complexity score 0.3)
The national government has deployed several thousand paramilitary personnel to assist the state government.
Target word: national government (marked complex by 1 of 10 native annotators; complexity score 0.05)
Target word: national (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: has deployed (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: government (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: deployed (marked complex by 6 of 10 native annotators; complexity score 0.65)
Target word: paramilitary (marked complex by 10 of 10 native annotators; complexity score 0.7)
Target word: paramilitary personnel (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: assist (marked complex by 0 of 10 native annotators; complexity score 0.05)
Target word: personnel (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: government (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: state (marked complex by 0 of 10 native annotators; complexity score 0.0)
The Patel caste, who form up to a fifth of the state population, are generally seen as being affluent businesspeople.
Target word: Patel caste (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Patel (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: caste (marked complex by 3 of 10 native annotators; complexity score 0.15)
Target word: affluent (marked complex by 8 of 10 native annotators; complexity score 0.65)
Target word: form (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: state (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: population (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: generally (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: affluent businesspeople (marked complex by 1 of 10 native annotators; complexity score 0.1)
Target word: businesspeople (marked complex by 0 of 10 native annotators; complexity score 0.0)
However, they want their community to be given the status of Other Backward Class, which would result in eligibility for reserved jobs.
Target word: community (marked complex by 0 of 10 native annotators; complexity score 0.1)
Target word: However (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Other Backward Class (marked complex by 0 of 10 native annotators; complexity score 0.05)
Target word: status (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Other (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Backward Class (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: Backward (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: eligibility (marked complex by 9 of 10 native annotators; complexity score 0.7)
Target word: Class (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: result (marked complex by 0 of 10 native annotators; complexity score 0.0)
Target word: reserved (marked complex by 3 of 10 native annotators; complexity score 0.2)
Target word: jobs (marked complex by 0 of 10 native annotators; complexity score 0.0)