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target_obj_nh
2,932
Nothing else is as filthy as these sheets.
non-hateful
null
-
filthy
filthy
null
35
596
Nothing else is as filthy as these sheets.
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[]
target_obj_nh
2,933
Typical of a Hollywood movie to be that stupid.
non-hateful
null
-
stupid
stupid
null
36
597
Typical of a Hollywood movie to be that stupid.
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", "license": "https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License", "url": "https://en.wikipedia.org/wiki/Hollywood,_Florida" }, "image": { "contentUrl": "https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcRf1_nIJbDqPBLIe9W1dXpkkrQstdHjykaFSaDTumXrMsA8SE2V", "url": "https://commons.wikimedia.org/wiki/File:Florida-Hollywood-Water_Tank.jpg" }, "name": "Hollywood", "url": "http://www.hollywoodfl.org/" }, "resultScore": 1355.124267578125, "wikidata_id": "Q234453" }, { "@type": "EntitySearchResult", "result": { "@id": "kg:/m/012z28bq", "@type": [ "Place", "MusicVenue", "Thing", "StadiumOrArena" ], "description": "Stadium in Inglewood, California", "detailedDescription": { "articleBody": "SoFi Stadium is a 70,240-seat sports and entertainment indoor stadium in the Los Angeles suburb of Inglewood, California, United States. ", "license": "https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License", "url": "https://en.wikipedia.org/wiki/SoFi_Stadium" }, "image": { "contentUrl": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQJmaDAC5B0sjDodijxlZUTuB71u33JvuHCYjPUZEYfKvm_sHXj", "url": "https://commons.wikimedia.org/wiki/File:Sofistadium_2020.jpg" }, "name": "SoFi Stadium", "url": null }, "resultScore": 673.8640747070312, "wikidata_id": "Q19520501" }, { "@type": "EntitySearchResult", "result": { "@id": "kg:/m/016tw3", "@type": [ "Organization", "Corporation", "TheaterGroup", "Thing", "Place" ], "description": "Motion pictures/entertainment corporation", "detailedDescription": { "articleBody": "Universal Pictures is an American film production and distribution company owned by Comcast through the NBCUniversal Film and Entertainment division of NBCUniversal, which is a wholly owned subsidiary of the aforementioned company.\n", "license": "https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License", "url": "https://en.wikipedia.org/wiki/Universal_Pictures" }, "image": { "contentUrl": "https://encrypted-tbn2.gstatic.com/images?q=tbn:ANd9GcTi0qJsOV-oWefLnFY53zr1xFwuhftsLAG2JY4pBYP3FXz7dSki", "url": "https://commons.wikimedia.org/wiki/File:Universal_Pictures_Bylineless_Logo.svg" }, "name": "Universal Pictures", "url": "http://www.universalstudios.com/" }, "resultScore": 634.5591430664062, "wikidata_id": "Q168383" }, { "@type": "EntitySearchResult", "result": { "@id": "kg:/m/02mv7g", "@type": [ "Thing", "TouristAttraction", "AmusementPark", "Place" ], "description": "Theme park in Bay Lake, Florida", "detailedDescription": { "articleBody": "Disney's Hollywood Studios is a theme park at the Walt Disney World Resort in Bay Lake, Florida, near Orlando. It is owned and operated by The Walt Disney Company through its Parks, Experiences and Products division. 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It was named one of the 10 best live music venues in America by Rolling Stone magazine in 2018.\n", "license": "https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License", "url": "https://en.wikipedia.org/wiki/Hollywood_Bowl" }, "image": { "contentUrl": "https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcS4xCP4Zcfk5TlX5lScNVG38xV7zbwcvIDDTNHSi2N9wEBE0Yqm", "url": "https://hif.wikipedia.org/wiki/file:Hollywood_bowl_and_sign.jpg" }, "name": "Hollywood Bowl", "url": "http://www.hollywoodbowl.com/" }, "resultScore": 399.1844177246094, "wikidata_id": "Q976218" }, { "@type": "EntitySearchResult", "result": { "@id": "kg:/m/05qsy8", "@type": [ "Thing", "Organization", "TouristAttraction", "AmusementPark", "Place" ], "description": "Theme park in Universal City, California", "detailedDescription": { "articleBody": "Universal Studios Hollywood is a film studio and theme park in the San Fernando Valley area of Los Angeles County, California. About 70% of the studio lies within the unincorporated county island known as Universal City while the rest lies within the city limits of Los Angeles, California. ", "license": "https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License", "url": "https://en.wikipedia.org/wiki/Universal_Studios_Hollywood" }, "image": { "contentUrl": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTcwa3M3c5fH8cs928tnjpfLq9jrFwopf2DvII5XX8ORgErMAQe", "url": "https://commons.wikimedia.org/wiki/File:Universal_Studios_Hollywood_02.JPG" }, "name": "Universal Studios Hollywood", "url": "http://www.universalstudioshollywood.com/" }, "resultScore": 338.1419067382812, "wikidata_id": "Q1337576" }, { "@type": "EntitySearchResult", "result": { "@id": "kg:/m/050ctv", "@type": [ "TouristAttraction", "Place", "Thing" ], "description": "Historical landmark in Los Angeles, California", "detailedDescription": { "articleBody": "The Hollywood Sign is an American landmark and cultural icon overlooking Hollywood, Los Angeles, California. Originally the Hollywoodland Sign, it is situated on Mount Lee, in the Beachwood Canyon area of the Santa Monica Mountains. ", "license": "https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License", "url": "https://en.wikipedia.org/wiki/Hollywood_Sign" }, "image": { "contentUrl": "https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcS6JSs_jZzDs-h9XG49h-aj55RuV5vNJ2H2QMV6OMXOutFocy7X", "url": "https://en.wikipedia.org/wiki/File:Hollywood_Sign_(Zuschnitt).jpg" }, "name": "Hollywood Sign", "url": null }, "resultScore": 298.069091796875, "wikidata_id": "Q180376" }, { "@type": "EntitySearchResult", "result": { "@id": "kg:/m/01l4zv", "@type": [ "Airport", "BusStation", "Thing", "Place" ], "description": "Airport in Los Angeles County, California", "detailedDescription": { "articleBody": "Hollywood Burbank Airport, legally and formerly marketed as Bob Hope Airport after entertainer Bob Hope, is a public airport 3 miles northwest of downtown Burbank, in Los Angeles County, California, United States. ", "license": "https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License", "url": "https://en.wikipedia.org/wiki/Hollywood_Burbank_Airport" }, "image": { "contentUrl": "https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcSm8-tJWbluYUqp3axnHvZ82a7g6Sk_Tl-HrJWFDxdV6kWg2u-r", "url": "https://commons.wikimedia.org/wiki/File:KBUR.jpg" }, "name": "Hollywood Burbank Airport", "url": "http://www.bobhopeairport.com/" }, "resultScore": 240.0262145996094, "wikidata_id": "Q598817" }, { "@type": "EntitySearchResult", "result": { "@id": "kg:/m/0r15k", "@type": [ "City", "AdministrativeArea", "Thing", "Place" ], "description": "City in California", "detailedDescription": { "articleBody": "West Hollywood is a city in Los Angeles County, California. Incorporated in 1984, it is home to the Sunset Strip. As of the 2020 U.S. Census, its population was 35,757.", "license": "https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License", "url": "https://en.wikipedia.org/wiki/West_Hollywood,_California" }, "image": { "contentUrl": "https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcSJeJMq9mBdL0z5DycuGL8-Eh8gq_PK3m68nE1Klq6dGNckzGer", "url": "https://commons.wikimedia.org/wiki/File:Hacienda_Arms_(Piazza_del_Sol),_West_Hollywood.JPG" }, "name": "West Hollywood", "url": "http://www.weho.org/" }, "resultScore": 222.2943878173828, "wikidata_id": "Q846421" } ], "query_text": "Hollywood" }, "start": 13, "text": "Hollywood", "type": "LOC" } ], "labels": [ "O", "O", "O", "B-LOC", "O", "O", "O", "O", "O", "O" ], "sentence": "Typical of a Hollywood movie to be that stupid. ", "tokens": [ "Typical", "of", "a", "Hollywood", "movie", "to", "be", "that", "stupid", "." ] }
[ { "@type": "EntitySearchResult", "end": 22, "kg_result": { "@id": "kg:/m/0f2wj", "@type": [ "Place", "Thing" ], "description": "Neighborhood in Los Angeles, California", "detailedDescription": { "articleBody": "Hollywood is a neighborhood in the central region of Los Angeles County, California, mostly within the city of Los Angeles. Its name has come to be a shorthand reference for the U.S. film industry and the people associated with it. ", "license": "https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License", "url": "https://en.wikipedia.org/wiki/Hollywood,_Los_Angeles" }, "image": { "contentUrl": "https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcS6JSs_jZzDs-h9XG49h-aj55RuV5vNJ2H2QMV6OMXOutFocy7X", "url": "https://en.wikipedia.org/wiki/Cinema_of_the_United_States" }, "name": "Hollywood", "url": null }, "resultScore": 5522.1943359375, "score": 5522.1943359375, "similarity": 1, "start": 13, "text": "Hollywood", "type": "LOC", "wikidata_id": "Q34006" } ]
target_obj_nh
2,934
Action movies really are brainless without exception.
non-hateful
null
-
brainless
brainless
null
40
598
Action movies really are brainless without exception.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "Action movies really are brainless without exception. ", "tokens": [ "Action", "movies", "really", "are", "brainless", "without", "exception", "." ] }
[]
target_obj_nh
2,935
My headphones are scum.
non-hateful
null
-
scum
scum
null
41
599
My headphones are scum.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "My headphones are scum. ", "tokens": [ "My", "headphones", "are", "scum", "." ] }
[]
target_obj_nh
2,936
The things in our garage are worthless dirt.
non-hateful
null
-
dirt
dirt
null
42
600
The things in our garage are worthless dirt.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "The things in our garage are worthless dirt. ", "tokens": [ "The", "things", "in", "our", "garage", "are", "worthless", "dirt", "." ] }
[]
target_obj_nh
2,937
The things in my trunk are absolute filth.
non-hateful
null
-
filth
filth
null
43
601
The things in my trunk are absolute filth.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "The things in my trunk are absolute filth. ", "tokens": [ "The", "things", "in", "my", "trunk", "are", "absolute", "filth", "." ] }
[]
target_obj_nh
2,938
There was nothing but common trash at the second-hand shop.
non-hateful
null
-
trash
trash
null
44
602
There was nothing but common trash at the second-hand shop.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "There was nothing but common trash at the second-hand shop. ", "tokens": [ "There", "was", "nothing", "but", "common", "trash", "at", "the", "second", "-", "hand", "shop", "." ] }
[]
target_obj_nh
2,939
The things in his attic are nothing but refuse.
non-hateful
null
-
refuse
refuse
null
45
603
The things in his attic are nothing but refuse.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "The things in his attic are nothing but refuse. ", "tokens": [ "The", "things", "in", "his", "attic", "are", "nothing", "but", "refuse", "." ] }
[]
target_obj_nh
2,940
Video games are garbage.
non-hateful
null
-
garbage
garbage
null
48
604
Video games are garbage.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "Video games are garbage. ", "tokens": [ "Video", "games", "are", "garbage", "." ] }
[]
target_obj_nh
2,941
Your broken records are worthless.
non-hateful
null
-
lives ... worthless
worthless
null
52
605
Your broken records are worthless.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O" ], "sentence": "Your broken records are worthless. ", "tokens": [ "Your", "broken", "records", "are", "worthless", "." ] }
[]
target_obj_nh
2,942
Those cars are worth absolutely nothing
non-hateful
null
-
lives ... worth nothing
worth nothing
null
53
606
Those cars are worth absolutely nothing
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O" ], "sentence": "Those cars are worth absolutely nothing", "tokens": [ "Those", "cars", "are", "worth", "absolutely", "nothing" ] }
[]
target_obj_nh
2,943
House plants are just a waste of space.
non-hateful
null
-
waste of space
waste of space
null
55
607
House plants are just a waste of space.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "House plants are just a waste of space. ", "tokens": [ "House", "plants", "are", "just", "a", "waste", "of", "space", "." ] }
[]
target_obj_nh
2,944
Chain restaurants are a virus.
non-hateful
null
-
virus
virus
null
56
608
Chain restaurants are a virus.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O" ], "sentence": "Chain restaurants are a virus. ", "tokens": [ "Chain", "restaurants", "are", "a", "virus", "." ] }
[]
target_obj_nh
2,945
Microplastics are a plague to society
non-hateful
null
-
plague
plague
null
58
609
Microplastics are a plague to society
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O" ], "sentence": "Microplastics are a plague to society", "tokens": [ "Microplastics", "are", "a", "plague", "to", "society" ] }
[]
target_obj_nh
2,946
My dog is smarter than any computer could ever be.
non-hateful
null
-
-
-
null
63
610
My dog is smarter than any computer could ever be.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "My dog is smarter than any computer could ever be. ", "tokens": [ "My", "dog", "is", "smarter", "than", "any", "computer", "could", "ever", "be", "." ] }
[]
target_obj_nh
2,947
Old furniture should be dumped in a landfill.
non-hateful
null
-
-
-
null
65
611
Old furniture should be dumped in a landfill.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "Old furniture should be dumped in a landfill. ", "tokens": [ "Old", "furniture", "should", "be", "dumped", "in", "a", "landfill", "." ] }
[]
target_obj_nh
2,948
I would rather die than own a car like that.
non-hateful
null
-
-
-
null
76
612
I would rather die than own a car like that.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I would rather die than own a car like that. ", "tokens": [ "I", "would", "rather", "die", "than", "own", "a", "car", "like", "that", "." ] }
[]
target_obj_nh
2,949
I really am just going to murder that beat.
non-hateful
null
-
murder
murder
null
83
613
I really am just going to murder that beat.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I really am just going to murder that beat. ", "tokens": [ "I", "really", "am", "just", "going", "to", "murder", "that", "beat", "." ] }
[]
target_obj_nh
2,950
We are going to put an end to all pollution.
non-hateful
null
-
put an end to
put an end to
null
94
614
We are going to put an end to all pollution.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "We are going to put an end to all pollution. ", "tokens": [ "We", "are", "going", "to", "put", "an", "end", "to", "all", "pollution", "." ] }
[]
target_obj_nh
2,951
Let's get rid of fast food once and for all.
non-hateful
null
-
get rid of
get rid of
null
95
615
Let's get rid of fast food once and for all.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "Let's get rid of fast food once and for all. ", "tokens": [ "Let", "'s", "get", "rid", "of", "fast", "food", "once", "and", "for", "all", "." ] }
[]
target_obj_nh
2,952
Let's just eradicate those weeds.
non-hateful
null
-
eradicate
eradicate
null
96
616
Let's just eradicate those weeds.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O" ], "sentence": "Let's just eradicate those weeds. ", "tokens": [ "Let", "'s", "just", "eradicate", "those", "weeds", "." ] }
[]
target_obj_nh
2,953
We should get rid of that couch once and for all.
non-hateful
null
-
get rid of
get rid of
null
105
617
We should get rid of that couch once and for all.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "We should get rid of that couch once and for all. ", "tokens": [ "We", "should", "get", "rid", "of", "that", "couch", "once", "and", "for", "all", "." ] }
[]
target_obj_nh
2,954
We should just hang all these pictures.
non-hateful
null
-
hang
hang
null
106
618
We should just hang all these pictures.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "We should just hang all these pictures. ", "tokens": [ "We", "should", "just", "hang", "all", "these", "pictures", "." ] }
[]
target_obj_nh
2,955
We would be better off if this virus was eradicated.
non-hateful
null
-
eradicated
eradicate
null
107
619
We would be better off if this virus was eradicated.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "We would be better off if this virus was eradicated. ", "tokens": [ "We", "would", "be", "better", "off", "if", "this", "virus", "was", "eradicated", "." ] }
[]
target_obj_nh
2,956
It would be best to just drown those kinds of steaks in butter.
non-hateful
null
-
drown
drown
null
109
620
It would be best to just drown those kinds of steaks in butter.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "It would be best to just drown those kinds of steaks in butter. ", "tokens": [ "It", "would", "be", "best", "to", "just", "drown", "those", "kinds", "of", "steaks", "in", "butter", "." ] }
[]
target_obj_nh
2,957
Those kinds of plans ought to be executed.
non-hateful
null
-
executed
execute
null
112
621
Those kinds of plans ought to be executed.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "Those kinds of plans ought to be executed. ", "tokens": [ "Those", "kinds", "of", "plans", "ought", "to", "be", "executed", "." ] }
[]
target_obj_nh
2,958
If only someone would strangle those initiatives.
non-hateful
null
-
strangle
strangle
null
113
622
If only someone would strangle those initiatives.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "If only someone would strangle those initiatives. ", "tokens": [ "If", "only", "someone", "would", "strangle", "those", "initiatives", "." ] }
[]
target_obj_nh
2,959
The world would be better off without coal plants like that.
non-hateful
null
-
better off without ...
better off without
null
115
623
The world would be better off without coal plants like that.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "The world would be better off without coal plants like that. ", "tokens": [ "The", "world", "would", "be", "better", "off", "without", "coal", "plants", "like", "that", "." ] }
[]
target_obj_nh
2,960
One can only hope someone will put an end to those fashion trends.
non-hateful
null
-
put an end to
put an end to
null
116
624
One can only hope someone will put an end to those fashion trends.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "One can only hope someone will put an end to those fashion trends. ", "tokens": [ "One", "can", "only", "hope", "someone", "will", "put", "an", "end", "to", "those", "fashion", "trends", "." ] }
[]
target_obj_nh
2,961
Somebody should just stab those balloons.
non-hateful
null
-
stab
stab
null
118
625
Somebody should just stab those balloons.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O" ], "sentence": "Somebody should just stab those balloons. ", "tokens": [ "Somebody", "should", "just", "stab", "those", "balloons", "." ] }
[]
target_obj_nh
2,962
What is it with these fucking sirens?
non-hateful
null
-
fucking
fucking
null
242
626
What is it with these fucking sirens?
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "What is it with these fucking sirens?", "tokens": [ "What", "is", "it", "with", "these", "fucking", "sirens", "?" ] }
[]
target_obj_nh
2,963
Fuck all overpriced designer brands.
non-hateful
null
-
fuck
fuck
null
243
627
Fuck all overpriced designer brands.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O" ], "sentence": "Fuck all overpriced designer brands. ", "tokens": [ "Fuck", "all", "overpriced", "designer", "brands", "." ] }
[]
target_obj_nh
2,964
Fancy coffee shops can all go fuck themselves.
non-hateful
null
-
go fuck themselves
go fuck yourself
null
246
628
Fancy coffee shops can all go fuck themselves.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "Fancy coffee shops can all go fuck themselves. ", "tokens": [ "Fancy", "coffee", "shops", "can", "all", "go", "fuck", "themselves", "." ] }
[]
target_obj_nh
2,965
These alarms on my phone should shut the fuck up once and for all.
non-hateful
null
-
shut the fuck up
shut the fuck up
null
247
629
These alarms on my phone should shut the fuck up once and for all.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "These alarms on my phone should shut the fuck up once and for all. ", "tokens": [ "These", "alarms", "on", "my", "phone", "should", "shut", "the", "fuck", "up", "once", "and", "for", "all", "." ] }
[]
target_obj_nh
2,966
My clothes aren't worth shit.
non-hateful
null
-
shit
shit
null
250
630
My clothes aren't worth shit.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O" ], "sentence": "My clothes aren't worth shit. ", "tokens": [ "My", "clothes", "are", "n't", "worth", "shit", "." ] }
[]
target_obj_nh
2,967
I'm just so pissed off by advertising like that.
non-hateful
null
-
pissed off
pissed off
null
254
631
I'm just so pissed off by advertising like that.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I'm just so pissed off by advertising like that. ", "tokens": [ "I", "'m", "just", "so", "pissed", "off", "by", "advertising", "like", "that", "." ] }
[]
target_obj_nh
2,968
All the trains in this country are pissing me off so much
non-hateful
null
-
pissing
piss sb. off
null
255
632
All the trains in this country are pissing me off so much
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "All the trains in this country are pissing me off so much", "tokens": [ "All", "the", "trains", "in", "this", "country", "are", "pissing", "me", "off", "so", "much" ] }
[]
target_obj_nh
2,969
It's in an alarm clock's nature to be an annoying prick.
non-hateful
null
-
prick
prick
null
259
633
It's in an alarm clock's nature to be an annoying prick.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "It's in an alarm clock's nature to be an annoying prick. ", "tokens": [ "It", "'s", "in", "an", "alarm", "clock", "'s", "nature", "to", "be", "an", "annoying", "prick", "." ] }
[]
target_obj_nh
2,970
I have tried many diets and I hate every single one of them
non-hateful
null
-
hate
hate
null
362
634
I have tried many diets and I hate every single one of them
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I have tried many diets and I hate every single one of them", "tokens": [ "I", "have", "tried", "many", "diets", "and", "I", "hate", "every", "single", "one", "of", "them" ] }
[]
target_obj_nh
2,971
I don't have anything against vegan dishes but most of them are pretty disgusting.
non-hateful
null
-
disgusting
disgusting
null
365
635
I don't have anything against vegan dishes but most of them are pretty disgusting.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I don't have anything against vegan dishes but most of them are pretty disgusting. ", "tokens": [ "I", "do", "n't", "have", "anything", "against", "vegan", "dishes", "but", "most", "of", "them", "are", "pretty", "disgusting", "." ] }
[]
target_obj_nh
2,972
I am trying to like sushi but it is just too repulsive.
non-hateful
null
-
repulsive
repulsive
null
366
636
I am trying to like sushi but it is just too repulsive.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I am trying to like sushi but it is just too repulsive. ", "tokens": [ "I", "am", "trying", "to", "like", "sushi", "but", "it", "is", "just", "too", "repulsive", "." ] }
[]
target_indiv_nh
2,973
I hate you.
non-hateful
null
-
hate
hate
null
1
637
I hate you.
{ "entities": [], "labels": [ "O", "O", "O", "O" ], "sentence": "I hate you. ", "tokens": [ "I", "hate", "you", "." ] }
[]
target_indiv_nh
2,974
I really can't stand her.
non-hateful
null
-
can't stand
can't stand
null
2
638
I really can't stand her.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I really can't stand her. ", "tokens": [ "I", "really", "ca", "n't", "stand", "her", "." ] }
[]
target_indiv_nh
2,975
I despise you.
non-hateful
null
-
despise
despise
null
3
639
I despise you.
{ "entities": [], "labels": [ "O", "O", "O", "O" ], "sentence": "I despise you. ", "tokens": [ "I", "despise", "you", "." ] }
[]
target_indiv_nh
2,976
I detest him.
non-hateful
null
-
detest
detest
null
4
640
I detest him.
{ "entities": [], "labels": [ "O", "O", "O", "O" ], "sentence": "I detest him. ", "tokens": [ "I", "detest", "him", "." ] }
[]
target_indiv_nh
2,977
I absolutely loathe him.
non-hateful
null
-
loathe
loathe
null
5
641
I absolutely loathe him.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "I absolutely loathe him. ", "tokens": [ "I", "absolutely", "loathe", "him", "." ] }
[]
target_indiv_nh
2,978
I have so much hatred for you.
non-hateful
null
-
hatred
hatred
null
8
642
I have so much hatred for you.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I have so much hatred for you. ", "tokens": [ "I", "have", "so", "much", "hatred", "for", "you", "." ] }
[]
target_indiv_nh
2,979
I feel nothing but contempt for him.
non-hateful
null
-
contempt
contempt
null
10
643
I feel nothing but contempt for him.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I feel nothing but contempt for him. ", "tokens": [ "I", "feel", "nothing", "but", "contempt", "for", "him", "." ] }
[]
target_indiv_nh
2,980
You are the absolute worst.
non-hateful
null
-
worst
worst
null
12
644
You are the absolute worst.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O" ], "sentence": "You are the absolute worst. ", "tokens": [ "You", "are", "the", "absolute", "worst", "." ] }
[]
target_indiv_nh
2,981
You make me sick.
non-hateful
null
-
make me sick
make sb. sick
null
13
645
You make me sick.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "You make me sick. ", "tokens": [ "You", "make", "me", "sick", "." ] }
[]
target_indiv_nh
2,982
Seeing you in this place makes me so angry.
non-hateful
null
-
angry
angry
null
15
646
Seeing you in this place makes me so angry.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "Seeing you in this place makes me so angry. ", "tokens": [ "Seeing", "you", "in", "this", "place", "makes", "me", "so", "angry", "." ] }
[]
target_indiv_nh
2,983
You make me furious.
non-hateful
null
-
furious
furious
null
17
647
You make me furious.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "You make me furious. ", "tokens": [ "You", "make", "me", "furious", "." ] }
[]
target_indiv_nh
2,984
You are disgusting.
non-hateful
null
-
disgusting
disgusting
null
21
648
You are disgusting.
{ "entities": [], "labels": [ "O", "O", "O", "O" ], "sentence": "You are disgusting. ", "tokens": [ "You", "are", "disgusting", "." ] }
[]
target_indiv_nh
2,985
You are repulsive.
non-hateful
null
-
repulsive
repulsive
null
22
649
You are repulsive.
{ "entities": [], "labels": [ "O", "O", "O", "O" ], "sentence": "You are repulsive. ", "tokens": [ "You", "are", "repulsive", "." ] }
[]
target_indiv_nh
2,986
You are repugnant.
non-hateful
null
-
repugnant
repugnant
null
26
650
You are repugnant.
{ "entities": [], "labels": [ "O", "O", "O", "O" ], "sentence": "You are repugnant. ", "tokens": [ "You", "are", "repugnant", "." ] }
[]
target_indiv_nh
2,987
You are dishonest people.
non-hateful
null
-
dishonest
dishonest
null
27
651
You are dishonest people.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "You are dishonest people. ", "tokens": [ "You", "are", "dishonest", "people", "." ] }
[]
target_indiv_nh
2,988
She is vile.
non-hateful
null
-
vile
vile
null
28
652
She is vile.
{ "entities": [], "labels": [ "O", "O", "O", "O" ], "sentence": "She is vile. ", "tokens": [ "She", "is", "vile", "." ] }
[]
target_indiv_nh
2,989
You are just pathetic.
non-hateful
null
-
pathetic
pathetic
null
29
653
You are just pathetic.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "You are just pathetic. ", "tokens": [ "You", "are", "just", "pathetic", "." ] }
[]
target_indiv_nh
2,990
Only you are that violent and cruel.
non-hateful
null
-
violent, cruel
violent, cruel
null
33
654
Only you are that violent and cruel.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "Only you are that violent and cruel. ", "tokens": [ "Only", "you", "are", "that", "violent", "and", "cruel", "." ] }
[]
target_indiv_nh
2,991
Only you can be so ignorant.
non-hateful
null
-
ignorant
ignorant
null
34
655
Only you can be so ignorant.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O" ], "sentence": "Only you can be so ignorant. ", "tokens": [ "Only", "you", "can", "be", "so", "ignorant", "." ] }
[]
target_indiv_nh
2,992
Typical of him to be that stupid.
non-hateful
null
-
stupid
stupid
null
36
656
Typical of him to be that stupid.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "Typical of him to be that stupid. ", "tokens": [ "Typical", "of", "him", "to", "be", "that", "stupid", "." ] }
[]
target_indiv_nh
2,993
It's always him that is the dumb one.
non-hateful
null
-
dumb
dumb
null
38
657
It's always him that is the dumb one.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "It's always him that is the dumb one. ", "tokens": [ "It", "'s", "always", "him", "that", "is", "the", "dumb", "one", "." ] }
[]
target_indiv_nh
2,994
He really is brainless.
non-hateful
null
-
brainless
brainless
null
40
658
He really is brainless.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "He really is brainless. ", "tokens": [ "He", "really", "is", "brainless", "." ] }
[]
target_indiv_nh
2,995
You are scum.
non-hateful
null
-
scum
scum
null
41
659
You are scum.
{ "entities": [], "labels": [ "O", "O", "O", "O" ], "sentence": "You are scum. ", "tokens": [ "You", "are", "scum", "." ] }
[]
target_indiv_nh
2,996
He is worthless dirt.
non-hateful
null
-
dirt
dirth
null
42
660
He is worthless dirt.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "He is worthless dirt. ", "tokens": [ "He", "is", "worthless", "dirt", "." ] }
[]
target_indiv_nh
2,997
You are absolute filth
non-hateful
null
-
filth
filth
null
43
661
You are absolute filth
{ "entities": [], "labels": [ "O", "O", "O", "O" ], "sentence": "You are absolute filth", "tokens": [ "You", "are", "absolute", "filth" ] }
[]
target_indiv_nh
2,998
He is nothing but common trash.
non-hateful
null
-
trash
trash
null
44
662
He is nothing but common trash.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O" ], "sentence": "He is nothing but common trash. ", "tokens": [ "He", "is", "nothing", "but", "common", "trash", "." ] }
[]
target_indiv_nh
2,999
You are human garbage.
non-hateful
null
-
garbage
garbage
null
48
663
You are human garbage.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "You are human garbage. ", "tokens": [ "You", "are", "human", "garbage", "." ] }
[]
target_indiv_nh
3,000
You are a pest.
non-hateful
null
-
pest
pest
null
50
664
You are a pest.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "You are a pest. ", "tokens": [ "You", "are", "a", "pest", "." ] }
[]
target_indiv_nh
3,001
You are a rat.
non-hateful
null
-
rat
rat
null
51
665
You are a rat.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "You are a rat. ", "tokens": [ "You", "are", "a", "rat", "." ] }
[]
target_indiv_nh
3,002
Your life is worthless.
non-hateful
null
-
lives ... worthless
worthless
null
52
666
Your life is worthless.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "Your life is worthless. ", "tokens": [ "Your", "life", "is", "worthless", "." ] }
[]
target_indiv_nh
3,003
Your life is worth absolutely nothing.
non-hateful
null
-
lives ... worth nothing
worth nothing
null
53
667
Your life is worth absolutely nothing.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O" ], "sentence": "Your life is worth absolutely nothing. ", "tokens": [ "Your", "life", "is", "worth", "absolutely", "nothing", "." ] }
[]
target_indiv_nh
3,004
You are a cancer.
non-hateful
null
-
cancer
cancer
null
57
668
You are a cancer.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "You are a cancer. ", "tokens": [ "You", "are", "a", "cancer", "." ] }
[]
target_indiv_nh
3,005
I want to kill him.
non-hateful
null
-
kill
kill
null
81
669
I want to kill him.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O" ], "sentence": "I want to kill him. ", "tokens": [ "I", "want", "to", "kill", "him", "." ] }
[]
target_indiv_nh
3,006
I want to end his life.
non-hateful
null
-
end ... life
end sb. life
null
82
670
I want to end his life.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I want to end his life. ", "tokens": [ "I", "want", "to", "end", "his", "life", "." ] }
[]
target_indiv_nh
3,007
I really wanna murder him.
non-hateful
null
-
murder
murder
null
83
671
I really wanna murder him.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O" ], "sentence": "I really wanna murder him. ", "tokens": [ "I", "really", "wanna", "murder", "him", "." ] }
[]
target_indiv_nh
3,008
I am going to shoot you.
non-hateful
null
-
shoot
shoot
null
84
672
I am going to shoot you.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I am going to shoot you. ", "tokens": [ "I", "am", "going", "to", "shoot", "you", "." ] }
[]
target_indiv_nh
3,009
I am going to make you suffer.
non-hateful
null
-
make ... suffer
make sb. suffer
null
85
673
I am going to make you suffer.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I am going to make you suffer. ", "tokens": [ "I", "am", "going", "to", "make", "you", "suffer", "." ] }
[]
target_indiv_nh
3,010
I'm going to stab him tomorrow.
non-hateful
null
-
stab
stab
null
86
674
I'm going to stab him tomorrow.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I'm going to stab him tomorrow. ", "tokens": [ "I", "'m", "going", "to", "stab", "him", "tomorrow", "." ] }
[]
target_indiv_nh
3,011
I'll have to rape him today.
non-hateful
null
-
rape
rape
null
87
675
I'll have to rape him today.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I'll have to rape him today. ", "tokens": [ "I", "'ll", "have", "to", "rape", "him", "today", "." ] }
[]
target_indiv_nh
3,012
I will hurt you.
non-hateful
null
-
hurt
hurt
null
88
676
I will hurt you.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "I will hurt you. ", "tokens": [ "I", "will", "hurt", "you", "." ] }
[]
target_indiv_nh
3,013
I will cut his throat.
non-hateful
null
-
cut ... throat
cut sb. throat
null
89
677
I will cut his throat.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O" ], "sentence": "I will cut his throat. ", "tokens": [ "I", "will", "cut", "his", "throat", "." ] }
[]
target_indiv_nh
3,014
I'll snap your neck.
non-hateful
null
-
snap his neck
snap sb. neck
null
91
678
I'll snap your neck.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O" ], "sentence": "I'll snap your neck. ", "tokens": [ "I", "'ll", "snap", "your", "neck", "." ] }
[]
target_indiv_nh
3,015
We will keep attacking you until you are gone.
non-hateful
null
-
attacking
attack
null
92
679
We will keep attacking you until you are gone.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "We will keep attacking you until you are gone. ", "tokens": [ "We", "will", "keep", "attacking", "you", "until", "you", "are", "gone", "." ] }
[]
target_indiv_nh
3,016
We'll torture you without mercy.
non-hateful
null
-
torture
torture
null
93
680
We'll torture you without mercy.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O" ], "sentence": "We'll torture you without mercy. ", "tokens": [ "We", "'ll", "torture", "you", "without", "mercy", "." ] }
[]
target_indiv_nh
3,017
I'll slaughter any opponent like you.
non-hateful
null
-
slaughter
slaughter
null
99
681
I'll slaughter any opponent like you.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I'll slaughter any opponent like you. ", "tokens": [ "I", "'ll", "slaughter", "any", "opponent", "like", "you", "." ] }
[]
target_indiv_nh
3,018
You will die a horrible death at my hands.
non-hateful
null
-
die ... death
die, death
null
100
682
You will die a horrible death at my hands.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "You will die a horrible death at my hands. ", "tokens": [ "You", "will", "die", "a", "horrible", "death", "at", "my", "hands", "." ] }
[]
target_indiv_nh
3,019
She should be killed.
non-hateful
null
-
killed
kill
null
101
683
She should be killed.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "She should be killed. ", "tokens": [ "She", "should", "be", "killed", "." ] }
[]
target_indiv_nh
3,020
You deserve to die.
non-hateful
null
-
die
die
null
102
684
You deserve to die.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O" ], "sentence": "You deserve to die. ", "tokens": [ "You", "deserve", "to", "die", "." ] }
[]
target_indiv_nh
3,021
I would love to see him suffer.
non-hateful
null
-
suffer
suffer
null
103
685
I would love to see him suffer.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I would love to see him suffer. ", "tokens": [ "I", "would", "love", "to", "see", "him", "suffer", "." ] }
[]
target_indiv_nh
3,022
I wish he would be shot in the street.
non-hateful
null
-
shot
shoot
null
104
686
I wish he would be shot in the street.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "I wish he would be shot in the street. ", "tokens": [ "I", "wish", "he", "would", "be", "shot", "in", "the", "street", "." ] }
[]
target_indiv_nh
3,023
Raping him should not be illegal.
non-hateful
null
-
raping
raping
null
110
687
Raping him should not be illegal.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O" ], "sentence": "Raping him should not be illegal. ", "tokens": [ "Raping", "him", "should", "not", "be", "illegal", "." ] }
[]
target_indiv_nh
3,024
Murdering you should be decriminalised.
non-hateful
null
-
murdering
murder
null
111
688
Murdering you should be decriminalised.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O" ], "sentence": "Murdering you should be decriminalised. ", "tokens": [ "Murdering", "you", "should", "be", "decriminalised", "." ] }
[]
target_indiv_nh
3,025
She ought to be executed.
non-hateful
null
-
executed
execute
null
112
689
She ought to be executed.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O" ], "sentence": "She ought to be executed. ", "tokens": [ "She", "ought", "to", "be", "executed", "." ] }
[]
target_indiv_nh
3,026
The world would be better off without you.
non-hateful
null
-
better off without ...
better off without
null
115
690
The world would be better off without you.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O", "O", "O" ], "sentence": "The world would be better off without you. ", "tokens": [ "The", "world", "would", "be", "better", "off", "without", "you", "." ] }
[]
target_indiv_nh
3,027
Somebody should just stab him.
non-hateful
null
-
stab
stab
null
118
691
Somebody should just stab him.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O" ], "sentence": "Somebody should just stab him. ", "tokens": [ "Somebody", "should", "just", "stab", "him", "." ] }
[]
target_indiv_nh
3,028
Someone should snap his neck.
non-hateful
null
-
snap ... neck
snap sb. neck
null
119
692
Someone should snap his neck.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O" ], "sentence": "Someone should snap his neck. ", "tokens": [ "Someone", "should", "snap", "his", "neck", "." ] }
[]
target_indiv_nh
3,029
He should be burned at the stake
non-hateful
null
-
burned at the stake
burn sb. at the stake
null
120
693
He should be burned at the stake
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O" ], "sentence": "He should be burned at the stake", "tokens": [ "He", "should", "be", "burned", "at", "the", "stake" ] }
[]
target_indiv_nh
3,030
You should fuck off forever.
non-hateful
null
-
fuck off
fuck off
null
244
694
You should fuck off forever.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O" ], "sentence": "You should fuck off forever. ", "tokens": [ "You", "should", "fuck", "off", "forever", "." ] }
[]
target_indiv_nh
3,031
You can all go fuck yourselves.
non-hateful
null
-
go fuck yourselves
go fuck yourself
null
246
695
You can all go fuck yourselves.
{ "entities": [], "labels": [ "O", "O", "O", "O", "O", "O", "O" ], "sentence": "You can all go fuck yourselves. ", "tokens": [ "You", "can", "all", "go", "fuck", "yourselves", "." ] }
[]