constraint_type
stringclasses 33
values | example
stringlengths 10
13.4k
| prompt
stringlengths 51
1.36k
| targets
stringlengths 2
1.22k
| metadata
stringlengths 2
336
| constraint_class
stringclasses 2
values | constraint_repr
stringlengths 46
141
| constraint_callables
stringclasses 10
values | question_id
int64 0
1.87k
|
|---|---|---|---|---|---|---|---|---|
guten_c14
|
"No, sirs, he's no at hame, that's clear. When I asked for him, they told me he was in bed, asleep, for that he was just arrived after a long journey; and so I waited a bit, and gaed out for a walk into the shrubberies, where I could have a look at his chamber windows, and sure enough they were a' closed. I waited a while longer, but he was still sleeping, and they dared na wake him; and so it came to nigh five o'clock, and then I was fain to send up the bit letter by the flunkie, and ask for the answer; but none came."
"Did you say that the letter was from me?" said the Knight, hastily.
"Na, sir; but I tauld them what most people mind as well, that Mister Bagenal Daly sent me. It's a name few folk are fond to trifle wi'."
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'I waited a while longer, but he was still sleeping, and they dared na wake him; and so it came to nigh five o'clock, and then I was fain to send up the bit letter by the flunkie, and ask for the answer; but none came."', 'said the Knight, hastily', 'It's a name few folk are fond to trifle wi'."', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["I waited a while longer, but he was still sleeping, and they dared na wake him; and so it came to nigh five o'clock, and then I was fain to send up the bit letter by the flunkie, and ask for the answer; but none came.\"", "said the Knight, hastily", "It's a name few folk are fond to trifle wi'.\""], 2]
|
{"Title": ["The Knight Of Gwynne, Vol. 1 (of 2)"], "Author": ["Charles James Lever"], "gd-path": "357/35755.txt"}
|
All
|
<collie.constraints.All object at 0x168e382e0>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 200
|
ccnews_c05
|
The little group stayed back and talked in the empty chamber.
|
Please generate a sentence:
1) with exactly 11 words;
2) with the 4th, 8th, 11th words to be 'stayed', 'in', 'chamber' respectively.
|
[11, ["stayed", "in", "chamber"]]
|
{"index": 77109, "title": "Leo\u2019s big day: just like his First Holy Communion, says his mammy"}
|
All
|
<collie.constraints.All object at 0x169212980>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 201
|
wiki_c05
|
A poignant family drama, Tanha is based on a widow (Sushma Seth), who strives to keep her family together.
|
Please generate a sentence:
1) with exactly 19 words;
2) with the 4th, 8th, 11th words to be 'drama', 'on', 'Sushma' respectively.
|
[19, ["drama", "on", "Sushma"]]
|
{"index": 3501506, "title": "Tanha (TV series)"}
|
All
|
<collie.constraints.All object at 0x169856470>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 202
|
english_c02
|
onomatopoesis
|
Please generate a word:
1) with exactly 13 characters;
2) with the 4th, 8th, 11th characters to be 'm', 'p', 's' respectively.
|
[13, ["m", "p", "s"]]
|
{}
|
All
|
<collie.constraints.All object at 0x1695e4940>
|
(Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 203
|
guten_c05
|
"Mother, I don't see how you can stand it.
|
Please generate a sentence:
1) with exactly 11 words;
2) with the 4th, 8th, 11th words to be 'do', 'you', 'it' respectively.
|
[11, ["do", "you", "it"]]
|
{"Title": ["Sweet Cicely \u2014 or Josiah Allen as a Politician"], "Author": ["Marietta Holley"], "gd-path": "072/07251.txt"}
|
All
|
<collie.constraints.All object at 0x16978aec0>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 204
|
guten_c07
|
It could be nothing else than the periscope of a submarine.
|
Please generate a sentence containing the word 'else', 'of', 'periscope'.
|
["else", "of", "periscope"]
|
{"Title": ["Our Navy in the War"], "Author": ["Lawrence Perry"], "gd-path": "186/18676.txt"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 205
|
ccnews_c10
|
On the other hand, you need never over-shop because you’re hungry. Los Angeles-based GroundWork Coffee bar offers a range of coffee and tea drinks ($3-$5.75) including a vegan horchata latte. House specialties run higher from pour-overs ($4) to an espresso milkshake ($8). It’s also a breakfast stop with a tofu burrito, avocado toast and other hip edibles.
|
Please generate a paragraph:
1) with exactly 4 sentences;
2) with all sentences having at least 12 words;
3) with all sentences having at most 20 words.
|
[4, 12, 20]
|
{"index": 238460, "title": "Whole Foods opens its third Southern California Market 365 in Long Beach on Wednesday, April 25"}
|
All
|
<collie.constraints.All object at 0x1696d6200>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 206
|
guten_c05
|
These sister cities perhaps unexcelled in the world as a residence section, are now assuming great business importance also.
|
Please generate a sentence:
1) with exactly 19 words;
2) with the 4th, 8th, 11th words to be 'perhaps', 'world', 'residence' respectively.
|
[19, ["perhaps", "world", "residence"]]
|
{"Title": ["The Road of a Thousand Wonders\tThe Coast Line\u2014Shasta Route of the Southern Pacific Company\tfrom Los Angeles Through San Francisco, to Portland, a\tJourney of One Thousand Three Hundred Miles"], "Author": ["Southern Pacific Company. Passenger Department"], "gd-path": "484/48407.txt"}
|
All
|
<collie.constraints.All object at 0x169788760>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 207
|
ccnews_c07
|
The Cavs vowed they would play better after their near-disaster in Game 1 and they mostly backed up their talk, delivering the kind of performance that was routine last season but rare in 2017.
|
Please generate a sentence containing the word 'they', 'in', 'they'.
|
["they", "in", "they"]
|
{"index": 406328, "title": "Pacers fall short in another comeback try in Game 2 against Cavs"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 208
|
ccnews_c05
|
Kitchen is one of the best decisions I've made in my life," Farthing says.
|
Please generate a sentence:
1) with exactly 16 words;
2) with the 4th, 8th, 11th words to be 'of', 'I', 'in' respectively.
|
[16, ["of", "I", "in"]]
|
{"index": 492698, "title": "America\u2019s Cities Have A Hunger Problem That Can't Be Solved With Food Alone"}
|
All
|
<collie.constraints.All object at 0x16926a4a0>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 209
|
ccnews_c12
|
In a phone call Friday, Trump praised Chinese President Xi Jinping for backing the recent U.N. vote to impose tougher sanctions on North Korea, and the leaders reaffirmed their commitment to a nuclear-free Korean Peninsula. But Trump also told Xi about the move toward a possible inquiry into China’s trade practices, according to two U.S. officials familiar with that conversation. They were not authorized to publicly discuss the private call and spoke on condition of anonymity.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) with sentences having the last word to be 'Peninsula', 'conversation', 'anonymity', respectively.
|
[3, ["Peninsula", "conversation", "anonymity"]]
|
{"index": 142552, "title": "The Latest: China cuts off host of imports form NKorea"}
|
All
|
<collie.constraints.All object at 0x1696ee3e0>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
))
| 210
|
wiki_c07
|
The WAC preseason polls were released on October 29, and Louisiana Tech was predicted to finish sixth in the media poll and fifth in the coaches poll.
|
Please generate a sentence containing the word 'the', 'preseason', 'predicted'.
|
["the", "preseason", "predicted"]
|
{"index": 3138829, "title": "Magnum Rolle"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 211
|
wiki_c07
|
It differs from a classical probability inasmuch as it cannot be normalized; that is, its integral over all energies diverges—but it diverges as a power of the energy and not faster.
|
Please generate a sentence containing the word 'faster', 'over', 'inasmuch'.
|
["faster", "over", "inasmuch"]
|
{"index": 3228250, "title": "Thermal fluctuations"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 212
|
guten_c09
|
As champion him the whole world hails, Lords! How he smites and thumps! It takes a week to reach the bails When he's before the stumps.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) not containing the word 'there';
3) not containing the word 'this';
4) not containing the word 'in'.
|
[3, "there", "this", "in"]
|
{"Title": ["Mr. Punch's Book of Sport\tThe Humour of Cricket, Football, Tennis, Polo, Croquet,\tHockey, Racing, &c"], "Author": ["Various"], "gd-path": "433/43355.txt"}
|
All
|
<collie.constraints.All object at 0x16931be80>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
))
| 213
|
wiki_c10
|
A plot to assassinate Mexican President Lázaro Cárdenas was reported foiled. The last remaining Freemason lodges in Nazi Germany were dissolved. Laval warned that a dictatorship in France was not unlikely if his economic measures failed to be enforced.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 10 words;
3) with all sentences having at most 18 words.
|
[3, 10, 18]
|
{"index": 4772007, "title": "August 1935"}
|
All
|
<collie.constraints.All object at 0x1694d0280>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 214
|
wiki_c07
|
Houarn draws his knife, whose blade dispels enchantments.
|
Please generate a sentence containing the word 'blade', 'his', 'Houarn'.
|
["blade", "his", "Houarn"]
|
{"index": 5549514, "title": "Le Foyer breton"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 215
|
wiki_c04
|
Additionally, the county did not have community input or review of building plans.
|
Please generate a sentence with exactly 82 characters. Include whitespace into your character count.
|
82
|
{"index": 278080, "title": "Rancho Rinconada, Cupertino, California"}
|
Constraint
|
Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
)
|
''
| 216
|
wiki_c07
|
On their outings to Ballina, a 3rd horse Prince was harnessed with them.
|
Please generate a sentence containing the word 'them', 'horse', '3rd'.
|
["them", "horse", "3rd"]
|
{"index": 5584681, "title": "Tulloona"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 217
|
wiki_c07
|
An almost idyllic peaceful life follows for the four refugees, away from the war around them.
|
Please generate a sentence containing the word 'follows', 'around', 'almost'.
|
["follows", "around", "almost"]
|
{"index": 2890381, "title": "Strayed (2003 film)"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 218
|
ccnews_c05
|
Graffiti is a nightmare to local authorities in the west, so much that some cities have graffiti effacing departments.
|
Please generate a sentence:
1) with exactly 19 words;
2) with the 4th, 8th, 11th words to be 'nightmare', 'in', 'so' respectively.
|
[19, ["nightmare", "in", "so"]]
|
{"index": 659518, "title": "We need to keep the environment clean during election campaigns"}
|
All
|
<collie.constraints.All object at 0x16922d660>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 219
|
ccnews_c14
|
ConDRAGulations, RuPaul’s Drag Race! EW can exclusively reveal that the long-running reality competition series’ third All Stars edition is officially the highest-rated batch of episodes in the show’s nine-year history.
Since its Jan. 25 premiere, All Stars 3 became the No. 1 original cable program in its time slot, finishing with a .59 rating in the 18-49 demo (including live-plus-same-day viewership) according to VH1. That number marks an 18 percent jump from RuPaul’s Drag Race season 9 — the series’ first to air new episodes on the network since its 2009 debut. It is now the show’s most-watched season (All Stars or otherwise) ever.
Thursday’s finale, which saw fan favorite contender Trixie Mattel take the crown (and a spot in the Drag Race Hall of Fame), drew 763,000 total live-plus-same-day viewers. Overall, season 3 was up 189 percent in the 18-49 demographic and 195 percent in total viewers from Logo’s 2016 broadcast of All Stars 2.
RuPaul’s Drag Race returns for season 10 this Thursday, March 22 at 8 p.m. ET on VH1. Head here for EW’s interview with the All Stars 3 champion, and check out our exclusive first look photos from the upcoming season opener here.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'EW can exclusively reveal that the long-running reality competition series’ third All Stars edition is officially the highest-rated batch of episodes in the show’s nine-year history', 'It is now the show’s most-watched season (All Stars or otherwise) ever', 'Overall, season 3 was up 189 percent in the 18-49 demographic and 195 percent in total viewers from Logo’s 2016 broadcast of All Stars 2', 'Head here for EW’s interview with the All Stars 3 champion, and check out our exclusive first look photos from the upcoming season opener here', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["EW can exclusively reveal that the long-running reality competition series\u2019 third All Stars edition is officially the highest-rated batch of episodes in the show\u2019s nine-year history", "It is now the show\u2019s most-watched season (All Stars or otherwise) ever", "Overall, season 3 was up 189 percent in the 18-49 demographic and 195 percent in total viewers from Logo\u2019s 2016 broadcast of All Stars 2", "Head here for EW\u2019s interview with the All Stars 3 champion, and check out our exclusive first look photos from the upcoming season opener here"], 2]
|
{"index": 593374, "title": "RuPaul's Drag Race All Stars 3 posts record ratings"}
|
All
|
<collie.constraints.All object at 0x1699077f0>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 220
|
wiki_c07
|
in just his second year became an NBL Allstar and led his team to the playoffs.
|
Please generate a sentence containing the word 'an', 'his', 'led'.
|
["an", "his", "led"]
|
{"index": 3138829, "title": "Magnum Rolle"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 221
|
guten_c07
|
Its effect is lost through its being placed on the ground level, without terrace, steps, or approach, or even railings to prevent inquisitive urchins staring in at the windows.
|
Please generate a sentence containing the word 'ground', 'level', 'the'.
|
["ground", "level", "the"]
|
{"Title": ["Southern Spain, Painted by Trevor Haddon, Described by A. F. Calvert"], "Author": ["Albert Frederick Calvert"], "gd-path": "379/37944.txt"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 222
|
guten_c09
|
Lt. Huse is requested to oversee the well-digging in fort Greene. 110 men for Governor's Island & 40 for Red Hook. Those that are to go on the Island to be at St. George's Ferry by 8 o'clock. The others to march to Red Hook as soon as they have had their breakfasts.
|
Please generate a paragraph:
1) with exactly 4 sentences;
2) not containing the word 'there';
3) not containing the word 'of';
4) not containing the word 'and'.
|
[4, "there", "of", "and"]
|
{"Title": ["The Campaign of 1776 around New York and Brooklyn"], "Author": ["Henry P. Johnston"], "gd-path": "219/21990.txt"}
|
All
|
<collie.constraints.All object at 0x16932aaa0>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
))
| 223
|
wiki_c11
|
Empress Cao (曹皇后, personal name unknown) (died January 11, 937), formally Empress Hewuxian (和武憲皇后), was an empress of the Chinese Five Dynasties and Ten Kingdoms Period state Later Tang. Her husband was Later Tang's second emperor Li Siyuan (Emperor Mingzong), and she was empress dowager during the subsequent reigns of his son Li Conghou (Emperor Min) and adoptive son Li Congke. Eventually, when her son-in-law Shi Jingtang rebelled against Li Congke, establishing his own Later Jin and attacked the Later Tang capital Luoyang, she died in a mass suicide with Li Congke, his family, and some officers.
|
Please generate a paragraph:
1) with at least 3 sentences;
2) with all sentences having at least 29 words.
|
[3, 29]
|
{"index": 4273062, "title": "Empress Cao (Li Siyuan's wife)"}
|
All
|
<collie.constraints.All object at 0x16950b520>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 224
|
guten_c14
|
Bodney led the Judge to his room on the second floor, where he left him almost in a state of collapse. He spoke of calling Mrs. Elbridge, but the old man shook his head, which Bodney knew he would do, and in a broken voice said that he wanted to be left alone. At the time when the Judge left the drawing room with Bodney, Bradley was bidding the family good-night, but lingered a moment longer to join the company in a laugh at William, who, having settled his date to his own satisfaction, had forgotten the point of the story.
Bodney's room was on the first floor, off the passage, and, going thither, he found Goyle sitting on the side of the bed, not as Howard, but as himself. The scoundrel declared that it had worked like a charm, but that the clang of the gong had prevented his getting any money. That, however, was a minor consideration. He needed money, it was true; he had not expected much, but even a little would have helped him greatly. A lower order of mind might have brooded over the disappointment, but his mind was exultant over the success of his art. He argued that if his impersonation of a son could deceive a father, he might bring forth a Hamlet to charm an audience.
"How is he?" Goyle asked, as Bodney stepped into the room.
"Don't talk to me, now," said Bodney, sitting down. He took up a newspaper and fanned himself. "For a time I wished that I had killed you."
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'At the time when the Judge left the drawing room with Bodney, Bradley was bidding the family good-night, but lingered a moment longer to join the company in a laugh at William, who, having settled his date to his own satisfaction, had forgotten the point of the story', 'He argued that if his impersonation of a son could deceive a father, he might bring forth a Hamlet to charm an audience', 'Goyle asked, as Bodney stepped into the room', '"For a time I wished that I had killed you."', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["At the time when the Judge left the drawing room with Bodney, Bradley was bidding the family good-night, but lingered a moment longer to join the company in a laugh at William, who, having settled his date to his own satisfaction, had forgotten the point of the story", "He argued that if his impersonation of a son could deceive a father, he might bring forth a Hamlet to charm an audience", "Goyle asked, as Bodney stepped into the room", "\"For a time I wished that I had killed you.\""], 2]
|
{"Title": ["Judge Elbridge"], "Author": ["Opie Percival Read"], "gd-path": "466/46699.txt"}
|
All
|
<collie.constraints.All object at 0x168e13f40>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 225
|
wiki_c09
|
In 2004 she was inducted, with her Hot Club bandmates, into the Texas Western Swing Hall of Fame. James has recorded with a wide array of folk, country, and Americana artists including Bob Dylan, Merle Haggard, Willie Nelson, Slaid Cleaves, Denny Freeman, Dave Stuckey, Eliza Gilkyson, Heybale, Tom Russell, The Hoyle Brothers, Kerry Polk, Beatroot, Bruce Anfinson, and many others. She and Hot Club Of Cowtown appeared on "Larry's Country Diner" on RFD-TV in July 2019.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) not containing the word 'be';
3) not containing the word 'this';
4) not containing the word 'is'.
|
[3, "be", "this", "is"]
|
{"index": 1169789, "title": "Elana James"}
|
All
|
<collie.constraints.All object at 0x169483520>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
))
| 226
|
wiki_c05
|
It was the seventeenth race of the 2013 UCI World Tour season.
|
Please generate a sentence:
1) with exactly 12 words;
2) with the 4th, 8th, 11th words to be 'seventeenth', '2013', 'Tour' respectively.
|
[12, ["seventeenth", "2013", "Tour"]]
|
{"index": 4073244, "title": "2013 Tour de Suisse"}
|
All
|
<collie.constraints.All object at 0x169855750>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 227
|
english_c01
|
passageway
|
Please generate a word with at least 10 characters.
|
[10]
|
{}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
)
|
''
| 228
|
guten_c14
|
Charles Ives (1874-1954) was probably one of the most psycho-intellectually brilliant, imaginative and flexible Americans to ever "walk the land of freedom." A graduate of Yale, he became a multi-millionaire in the American insurance industry, introducing brilliant innovations within that industry. He also, unlike a few composers, found the time and the money (being a shrewd and practical businessman) to get married and have children.
His accomplishments for which he is best known, however, are those in the field of music. At the time of its composition, Ives' music was probably the most radically modern in history, and by itself had enough material to serve as the foundation of modern 20th century music. For example, at the turn of the century, this eccentric composer created band works featuring multiple melodies of multiple time signatures opposing and complimenting each other within the same piece. Ives was also a revolutionary atonal composer, who created, essentially without precedent, many atonal works that not only pre-date those of Schoenberg, but are just as sophisticated, and arguably even more so, than those of the 12-tone serialist.
Among those atonal works was his second, "Concord" piano sonata, one of the finest, and some would say the finest, works of classical music by an American. It reflects the musical innovations of its creator, featuring revolutionary atmospheric effects, unprecedented atonal musical syntax, and surprising technical approaches to playing the piano, such as pressing down on over 10 notes simultaneously using a flat piece of wood.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'He also, unlike a few composers, found the time and the money (being a shrewd and practical businessman) to get married and have children', 'Ives was also a revolutionary atonal composer, who created, essentially without precedent, many atonal works that not only pre-date those of Schoenberg, but are just as sophisticated, and arguably even more so, than those of the 12-tone serialist', 'It reflects the musical innovations of its creator, featuring revolutionary atmospheric effects, unprecedented atonal musical syntax, and surprising technical approaches to playing the piano, such as pressing down on over 10 notes simultaneously using a flat piece of wood', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["He also, unlike a few composers, found the time and the money (being a shrewd and practical businessman) to get married and have children", "Ives was also a revolutionary atonal composer, who created, essentially without precedent, many atonal works that not only pre-date those of Schoenberg, but are just as sophisticated, and arguably even more so, than those of the 12-tone serialist", "It reflects the musical innovations of its creator, featuring revolutionary atmospheric effects, unprecedented atonal musical syntax, and surprising technical approaches to playing the piano, such as pressing down on over 10 notes simultaneously using a flat piece of wood"], 2]
|
{"Title": ["Essays Before a Sonata"], "Author": ["Charles Ives"], "gd-path": "036/03673.txt"}
|
All
|
<collie.constraints.All object at 0x168e39de0>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 229
|
guten_c14
|
"Yes," she snapped, "there's some people sick, and I guess there'll be more of 'em a good deal sicker in the morning. I've got to go."
"A case of pizenin'?" asked the man very earnestly.
"Yes," said she, wrapping her shawl around her; "the worse kind of pizenin'!" Then she talked no more.
The servant-girl slept late, and there were a good many ladies in the parlor when she came down. She did not give them a chance to ask her anything, but told her message promptly. It was a message pretty fairly remembered, although it had grown somewhat sharper in the night. When it was finished the girl added: "And I'm to have all the eatables in the house to take home to my mother, and Squire Allen is to pay me four dollars and seventy-five cents, which has been owin' to me for wages for ever so long."
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'I've got to go."', 'asked the man very earnestly', 'Then she talked no more', 'When it was finished the girl added: "And I'm to have all the eatables in the house to take home to my mother, and Squire Allen is to pay me four dollars and seventy-five cents, which has been owin' to me for wages for ever so long."', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["I've got to go.\"", "asked the man very earnestly", "Then she talked no more", "When it was finished the girl added: \"And I'm to have all the eatables in the house to take home to my mother, and Squire Allen is to pay me four dollars and seventy-five cents, which has been owin' to me for wages for ever so long.\""], 2]
|
{"Title": ["The Captain's Toll-Gate"], "Author": ["Frank Richard Stockton"], "gd-path": "133/13356.txt"}
|
All
|
<collie.constraints.All object at 0x168e39f00>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 230
|
guten_c06a
|
In the niche of the outward room a small statue was found, in terra cotta (baked clay).
|
Please generate a sentence:
1) with at least 17 words;
2) with all words having at most 7 characters.
|
[17, 7]
|
{"Title": ["The Illustrated London Reading Book"], "Author": ["Various"], "gd-path": "119/11921.txt"}
|
All
|
<collie.constraints.All object at 0x1697c9780>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 231
|
wiki_c14
|
Traffic signal timing is a very complex topic. For example timing a 'WALK' signal for a wide pedestrian crossing and slower pedestrians (for example the elderly) could result in very long waits for vehicles, and thus increases the likelihood of cars running the light, which could potentially cause accidents. Therefore, optimizing the safety of intersections involves multiple factors like street width, lane width, number of intersecting streets, availability of electricity for a signal, number of cars per unit of time and even/uneven nature of flow, number and type of pedestrians, and many other factors.
Traffic signals can be programmed to have different signal timing plans, depending on the time of day. Some signal control systems adapt signal timings depending on measured traffic conditions.
Standardizing signal timing procedures, standards, and best practices has been completed in the form of the Signal Timing Manual, sponsored by the Federal Highway Administration. The Signal Timing Manual is a tabletop resource compiled by Kittelson & Associates, Inc., the Texas Transportation Institute, the Institute of Transportation Engineers (ITE), and the University of Maryland.
In March 2020, the ITE adopted Beaverton, Oregon engineering consultant Mats Järlström's recommendations for yellow light timing. Järlström had begun investigating the matter after his wife received a ticket from a red light camera in 2013. After he published his findings, the state of Oregon fined him for practicing engineering without a license. Järlström, who has a degree in electrical engineering, filed suit in the federal District Court alleging violation of his First Amendment rights. The court agreed with him, ruling that the state could not restrict the use of the word "engineer".
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'Therefore, optimizing the safety of intersections involves multiple factors like street width, lane width, number of intersecting streets, availability of electricity for a signal, number of cars per unit of time and even/uneven nature of flow, number and type of pedestrians, and many other factors', 'Some signal control systems adapt signal timings depending on measured traffic conditions', 'The Signal Timing Manual is a tabletop resource compiled by Kittelson & Associates, Inc., the Texas Transportation Institute, the Institute of Transportation Engineers (ITE), and the University of Maryland', 'The court agreed with him, ruling that the state could not restrict the use of the word "engineer"', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["Therefore, optimizing the safety of intersections involves multiple factors like street width, lane width, number of intersecting streets, availability of electricity for a signal, number of cars per unit of time and even/uneven nature of flow, number and type of pedestrians, and many other factors", "Some signal control systems adapt signal timings depending on measured traffic conditions", "The Signal Timing Manual is a tabletop resource compiled by Kittelson & Associates, Inc., the Texas Transportation Institute, the Institute of Transportation Engineers (ITE), and the University of Maryland", "The court agreed with him, ruling that the state could not restrict the use of the word \"engineer\""], 2]
|
{"index": 681563, "title": "Signal timing"}
|
All
|
<collie.constraints.All object at 0x168def160>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 232
|
ccnews_c12
|
But primarily I'm going back so soon because a friend from Toronto will be visiting and she wants to go out for shellfish and seafood. Of course she does. Have you ever known a tourist in Vancouver who doesn't want to eat fish? And where do you take them?
|
Please generate a paragraph:
1) with exactly 4 sentences;
2) with sentences having the last word to be 'seafood', 'does', 'fish', 'them', respectively.
|
[4, ["seafood", "does", "fish", "them"]]
|
{"index": 633691, "title": "Vancouver\u2019s Hooked Sea Bar features a menu befitting a city by the ocean"}
|
All
|
<collie.constraints.All object at 0x16972ba00>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
))
| 233
|
wiki_c09
|
The band worked on the album between late 2010 and Autumn 2012, first in their own studio in Manchester, followed by production work from Tim Goldsworthy at Monnow Valley Studio in Wales, the Unit 3 studio in Bristol and Ben Allen in his studio in Atlanta. The cover art was created by Vhils. A video trailer for the album was released in November 2012. The album will be preceded by the single "Baiya".
|
Please generate a paragraph:
1) with exactly 4 sentences;
2) not containing the word 'there';
3) not containing the word 'to';
4) not containing the word 'is'.
|
[4, "there", "to", "is"]
|
{"index": 3974859, "title": "Collections (Delphic album)"}
|
All
|
<collie.constraints.All object at 0x169483040>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
))
| 234
|
wiki_c10
|
To date, the Dallas Comic Con has been held at one of four locations. The first three locations were in the suburbs of Dallas, Texas. Early editions were held at the Plano Centre in Plano, Texas, or the Richardson Civic Center in Richardson, Texas. Beginning in May 2011, the event relocated to the Irving Convention Center at Las Colinas in Irving, Texas. In May 2014, the Dallas Comic Con relocated to the Kay Bailey Hutchison Convention Center in downtown Dallas. Dallas Fan Days events remain at the Irving Convention Center.
|
Please generate a paragraph:
1) with exactly 6 sentences;
2) with all sentences having at least 10 words;
3) with all sentences having at most 19 words.
|
[6, 10, 19]
|
{"index": 1712723, "title": "Fan Expo Dallas"}
|
All
|
<collie.constraints.All object at 0x169508100>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 235
|
wiki_c12
|
An ongoing scholarly debate covers the racialization of religious communities. Adherents to Judaism, Islam, and Sikhism can be racialized when they are portrayed as possessing certain physical characteristics, despite many individual adherents to those religions not visibly sharing in those characteristics. This racialization extends to the descendants of the adherents, even though those descendants may often convert away from active observance of the religion of their forebears but also retain the lingering cultural aspects of the religion for familial and community purposes.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) with sentences having the last word to be 'communities', 'characteristics', 'purposes', respectively.
|
[3, ["communities", "characteristics", "purposes"]]
|
{"index": 902185, "title": "Racialization"}
|
All
|
<collie.constraints.All object at 0x16953d120>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
))
| 236
|
english_c02
|
mineralogical
|
Please generate a word:
1) with exactly 13 characters;
2) with the 4th, 8th, 11th characters to be 'e', 'o', 'c' respectively.
|
[13, ["e", "o", "c"]]
|
{}
|
All
|
<collie.constraints.All object at 0x1695cc760>
|
(Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 237
|
guten_c05
|
I had noticed a lady sitting under a tree in front of the house.
|
Please generate a sentence:
1) with exactly 14 words;
2) with the 4th, 8th, 11th words to be 'a', 'a', 'front' respectively.
|
[14, ["a", "a", "front"]]
|
{"Title": ["A Bicycle of Cathay"], "Author": ["Frank Richard Stockton"], "gd-path": "123/12334.txt"}
|
All
|
<collie.constraints.All object at 0x1697aa8c0>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 238
|
english_c02
|
demulsifiers
|
Please generate a word:
1) with exactly 12 characters;
2) with the 4th, 8th, 11th characters to be 'u', 'f', 'r' respectively.
|
[12, ["u", "f", "r"]]
|
{}
|
All
|
<collie.constraints.All object at 0x1695e4e80>
|
(Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 239
|
ccnews_c06a
|
He told McGee her mother replied that she wanted to die, so he said, “Let me show you how it’s done.”
|
Please generate a sentence:
1) with at least 25 words;
2) with all words having at most 7 characters.
|
[25, 7]
|
{"index": 376111, "title": "Detectives: Dad tells daughter he killed her mom 30 years ago"}
|
All
|
<collie.constraints.All object at 0x16929c220>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 240
|
wiki_c14
|
The D.I.Y. Guys is the first live album by American punk rock band Hed PE, released on July 8, 2008. The live CD portion of the presentation was captured at Hollywood's legendary Key Club during their Insomnia tour. The CD portion also contains "Niteclub In Bali", a B-side off their Back 2 Base X album as well as "Get Em Up", a track featuring the Subnoize Souljaz, and a new hardcore punk song called "Killing Spree". Three other new tracks, "War On The Middle Class", "Ordo AB Chao", and "Bloodfire" were featured on New World Orphans.
The DVD portion of the set, showcases the band in a behind-the-scenes look at everyday day life. It features skit-like performances of the band dealing with problems in their everyday tour life. The mockumentary, however is scripted and is just meant for entertainment. The DVD portion also contains live footage of songs that are featured on the live CD portion of the set. The D.I.Y. Guys also contains three music videos that include, "Represent" from Only in Amerika, "Get Ready" from Back 2 Base X and "Suffa" from Insomnia.
Weeks before the album's release date, "Ordo AB Chao" appeared on the band's MySpace, which was revamped in order to promote the album. Starting two days prior to the release of the album, the band embarked on the D.I.Y. tour which featured other Suburban Noize Records artists such as OPM, Dirtball and Potluck in order to promote the album's release.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'Three other new tracks, "War On The Middle Class", "Ordo AB Chao", and "Bloodfire" were featured on New World Orphans', 'Guys also contains three music videos that include, "Represent" from Only in Amerika, "Get Ready" from Back 2 Base X and "Suffa" from Insomnia', 'tour which featured other Suburban Noize Records artists such as OPM, Dirtball and Potluck in order to promote the album's release', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["Three other new tracks, \"War On The Middle Class\", \"Ordo AB Chao\", and \"Bloodfire\" were featured on New World Orphans", "Guys also contains three music videos that include, \"Represent\" from Only in Amerika, \"Get Ready\" from Back 2 Base X and \"Suffa\" from Insomnia", "tour which featured other Suburban Noize Records artists such as OPM, Dirtball and Potluck in order to promote the album's release"], 2]
|
{"index": 2212388, "title": "The D.I.Y. Guys"}
|
All
|
<collie.constraints.All object at 0x168e115a0>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 241
|
ccnews_c09
|
'It justified going to Chester. That form is probably not good enough but I think the horse is getting better. I think he will run well.'
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) not containing the word 'be';
3) not containing the word 'of';
4) not containing the word 'in'.
|
[3, "be", "of", "in"]
|
{"index": 251215, "title": "Trainer William Haggas believes soft Epsom track will boost Young Rascal's Derby ambitions"}
|
All
|
<collie.constraints.All object at 0x16960b580>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
))
| 242
|
english_c02
|
millennialist
|
Please generate a word:
1) with exactly 13 characters;
2) with the 4th, 8th, 11th characters to be 'l', 'i', 'i' respectively.
|
[13, ["l", "i", "i"]]
|
{}
|
All
|
<collie.constraints.All object at 0x1695cd480>
|
(Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 243
|
ccnews_c09
|
Jackson was the nation’s No. 1 recruit when he signed with the Jayhawks out of Prolific Prep Academy in California. He immediately earned a spot in the starting lineup, teaming with national player of the year Frank Mason III and Devonte Graham to form one of the nation’s top backcourts.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) not containing the word 'be';
3) not containing the word 'this';
4) not containing the word 'is'.
|
[3, "be", "this", "is"]
|
{"index": 417878, "title": "Kansas freshman Josh Jackson declare for NBA draft"}
|
All
|
<collie.constraints.All object at 0x16960b0a0>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
))
| 244
|
ccnews_c10
|
“I love, it especially for my family, but all I care about is the fight,” Miocic said. “It’s great that we’re working stuff out. It worked out great and I’m happy – finally.”
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 12 words;
3) with all sentences having at most 19 words.
|
[3, 12, 19]
|
{"index": 318252, "title": "Stipe Miocic finally happy with payday ahead of UFC 226 fight with Daniel Cormier"}
|
All
|
<collie.constraints.All object at 0x1696babc0>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 245
|
english_c01
|
undetermined
|
Please generate a word with at least 12 characters.
|
[12]
|
{}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
)
|
''
| 246
|
guten_c14
|
MRS. BORKMAN. Yes, fortunately he's young. He would need to be young.
ERHART. Well, well, well, mother, it's quite clear I can't got to the Hinkels' this evening. Of course I shall remain here with you and Aunt Ella.
MRS. BORKMAN. I knew you would, my dear Erhart.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'He would need to be young', 'Of course I shall remain here with you and Aunt Ella', 'I knew you would, my dear Erhart', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["He would need to be young", "Of course I shall remain here with you and Aunt Ella", "I knew you would, my dear Erhart"], 2]
|
{"Title": ["John Gabriel Borkman"], "Author": ["Henrik Ibsen"], "gd-path": "187/18792.txt"}
|
All
|
<collie.constraints.All object at 0x168e39ba0>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 247
|
wiki_c07
|
In 2018 The Arts Desk named Leveret's album, Inventions one of their top 3 albums of the year, describing them as creating "strikingly new English instrumental music."
|
Please generate a sentence containing the word 'one', 'Inventions', '2018'.
|
["one", "Inventions", "2018"]
|
{"index": 649277, "title": "Andy Cutting"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 248
|
guten_c06a
|
Just under the lee of that rail is a round hole which is rather jagged about the lower edge as if gnawed by sharp little teeth.
|
Please generate a sentence:
1) with at least 26 words;
2) with all words having at most 6 characters.
|
[26, 6]
|
{"Title": ["Birds and Nature Vol. 9 No. 3 [March 1901]"], "Author": ["Various"], "gd-path": "474/47489.txt"}
|
All
|
<collie.constraints.All object at 0x1697cbee0>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 249
|
guten_c04
|
I itched to throw a bootjack at him, but compromised on doing a little growling myself.
|
Please generate a sentence with exactly 87 characters. Include whitespace into your character count.
|
87
|
{"Title": ["The Motormaniacs"], "Author": ["Lloyd Osbourne"], "gd-path": "056/05626.txt"}
|
Constraint
|
Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
)
|
''
| 250
|
guten_c09
|
The letter was short, couched in conventional terms of hollow affection. The writer blamed herself for having so long neglected her brother's widow and child; her heart had been wrapped up too much in the son she had lost; that loss had made her turn to the ties of blood still left to her; she had heard much of Lilian from their common friend, Mr. Vigors; she longed to embrace so charming a niece. Then followed the invitation and the postscript. The postscript ran thus, so far as I can remember:--
|
Please generate a paragraph:
1) with exactly 4 sentences;
2) not containing the word 'there';
3) not containing the word 'this';
4) not containing the word 'is'.
|
[4, "there", "this", "is"]
|
{"Title": ["A Strange Story \u2014 Complete"], "Author": ["Baron Edward Bulwer Lytton Lytton"], "gd-path": "077/07701.txt"}
|
All
|
<collie.constraints.All object at 0x169366980>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
))
| 251
|
ccnews_c05
|
Tighter lending standards are also forcing dreamers out of the market.
|
Please generate a sentence:
1) with exactly 11 words;
2) with the 4th, 8th, 11th words to be 'are', 'out', 'market' respectively.
|
[11, ["are", "out", "market"]]
|
{"index": 338574, "title": "How Canada\u2019s housing boom is aggravating income inequality"}
|
All
|
<collie.constraints.All object at 0x16926a9e0>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 252
|
guten_c14
|
But I stopped her, for the foolish talk had lasted long enough. "Of course," I exclaimed, "of course. For God is love, remember, and love means charity, tolerance, sympathy, and sparing others pain," and I hurried past her, determined to end the outrageous conversation for which yet I knew myself entirely to blame. Behind me, she stood stock-still for several minutes, half bewildered, half alarmed, as I suspected. I caught the fragment of another sentence, one word of it, rather--"punishment"--but the rest escaped me. Her arrogance and condescending tolerance exasperated me, while I was at the same time secretly pleased that I might have touched some string of remorse or sympathy in her after all. Her belief was iron; she dared not let it go; yet somewhere underneath there lurked the germ of a wholesome revulsion. She would help "them"--if she dared. Her question proved it.
Half ashamed of myself, I turned and crossed the hall quickly lest I should be tempted to say more, and in me was a disagreeable sensation as though I had just left the Incurable Ward of some great hospital. A reaction caught me as of nausea. Ugh! I wanted such people cleansed by fire. They seemed to me as centers of contamination whose vicious thoughts flowed out to stain God's glorious world. I saw myself, Frances, Mabel too especially, on the rack, while that odious figure of cruelty and darkness stood over us and ordered the awful handles turned in order that we might be "saved"--forced, that is, to think and believe exactly as she thought and believed.
I found relief for my somewhat childish indignation by letting myself loose upon the organ then. The flood of Bach and Beethoven brought back the sense of proportion. It proved, however, at the same time that there had been this growth of distortion in me, and that it had been provided apparently by my closer contact--for the first time--with that funereal personality, the woman who, like her master, believed that all holding views of God that differed from her own, must be damned eternally. It gave me, moreover, some faint clue perhaps, though a clue I was unequal of following up, to the nature of the strife and terror and frustrate influence in the house. That housekeeper had to do with it. She kept it alive. Her thought was like a spell she waved above her mistress's head.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'Her question proved it', 'I saw myself, Frances, Mabel too especially, on the rack, while that odious figure of cruelty and darkness stood over us and ordered the awful handles turned in order that we might be "saved"--forced, that is, to think and believe exactly as she thought and believed', 'Her thought was like a spell she waved above her mistress's head', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["Her question proved it", "I saw myself, Frances, Mabel too especially, on the rack, while that odious figure of cruelty and darkness stood over us and ordered the awful handles turned in order that we might be \"saved\"--forced, that is, to think and believe exactly as she thought and believed", "Her thought was like a spell she waved above her mistress's head"], 2]
|
{"Title": ["The Damned"], "Author": ["Algernon Blackwood"], "gd-path": "110/11074.txt"}
|
All
|
<collie.constraints.All object at 0x168e39600>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 253
|
wiki_c10
|
When Howard joined WKMT in Kings Mountain, North Carolina in 1992, he had spent more than 30 years in radio. 18 of these were at WKBX in Winston-Salem, North Carolina. He married Jerri September 26, 1966, and had a son Gregg, who was 21 when Howard joined WKMT.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 10 words;
3) with all sentences having at most 20 words.
|
[3, 10, 20]
|
{"index": 2338121, "title": "Curly Howard (DJ)"}
|
All
|
<collie.constraints.All object at 0x1694e8d00>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 254
|
wiki_c07
|
Spartan Health Sciences University is a private, for-profit medical school located in Vieux Fort, St. Lucia, in the Caribbean.
|
Please generate a sentence containing the word 'St', 'Vieux', 'located'.
|
["St", "Vieux", "located"]
|
{"index": 2420274, "title": "Spartan Health Sciences University"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 255
|
wiki_c09
|
In 2011 he was invited to the Azerbaijan State Academic Opera and Ballet Theater as a conductor of the highest qualification. In 2013–2017, he was principal guest conductor of the V. Safonov North Caucasus Philharmonic. In November 2018, he was appointed musical director and chief conductor of the State Academic Opera and Ballet Theater of Azerbaijan.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) not containing the word 'there';
3) not containing the word 'this';
4) not containing the word 'is'.
|
[3, "there", "this", "is"]
|
{"index": 6401933, "title": "Ayyub Guliyev (conductor)"}
|
All
|
<collie.constraints.All object at 0x169480940>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
))
| 256
|
guten_c05
|
I am the sea to smother your breath, I am the bomb, the falling death.
|
Please generate a sentence:
1) with exactly 15 words;
2) with the 4th, 8th, 11th words to be 'sea', 'breath', 'the' respectively.
|
[15, ["sea", "breath", "the"]]
|
{"Title": ["Spirits in bondage; a cycle of lyrics"], "Author": ["C. S. (Clive Staples) Lewis"], "gd-path": "020/02003.txt"}
|
All
|
<collie.constraints.All object at 0x1697ab0a0>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 257
|
wiki_c05
|
The Ira Allen Chapel on the University of Vermont's main campus was also named after him.
|
Please generate a sentence:
1) with exactly 17 words;
2) with the 4th, 8th, 11th words to be 'Chapel', 'of', 'main' respectively.
|
[17, ["Chapel", "of", "main"]]
|
{"index": 404147, "title": "Ira Allen"}
|
All
|
<collie.constraints.All object at 0x169895090>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 258
|
wiki_c09
|
In the lower reaches of the Wutach, the Wutach valley flows into the 'Klettgaurinne', and the Wutach then follows the direction of the Kotbach. Until the end of the Riss Ice Age, some 200,000 years ago, the Ancient Rhine flowed westward through the Klettgau here, instead of the little Klingengraben and Kotbach. At the Ettikoner Lauffen it rejoined its old river bed. Only towards the end of the Würm glaciation did it move his course from Schaffhausen southwards, resulting in the well-known Rhine Falls there. At Rheinau Abbey the meander known as the Rheinschlaufen ("Rhine Loop") was formed.
|
Please generate a paragraph:
1) with exactly 5 sentences;
2) not containing the word 'be';
3) not containing the word 'this';
4) not containing the word 'is'.
|
[5, "be", "this", "is"]
|
{"index": 1752464, "title": "Wutach (river)"}
|
All
|
<collie.constraints.All object at 0x16944d720>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
))
| 259
|
ccnews_c14
|
Trump’s ex-wife, Ivana, said he asked her if he should whether or not he should tweet. And she encouraged him to do it. He also offered her an ambassadorship to the Czech Republic.
Cam Newton put out a video apologizing for sexist comments to the female reporter. The video only came after he lost his yogurt sponsorship.
Producer Harvey Weinstein is being accused of sexually harassing several women over the last three decades, including Rose McGowan and Ashley Judd. He said the allegations are false, but he also apologized and said he’s working on improving himself. But obviously not physically.
Greatest interviewer ever! She’s on the British equivalent of The Today Show – it’s called This Morning; she’s the entertainment reporter. She’s interviewing Ryan Gosling and Harrison Ford for Blade Runner 2049 and she starts the interview by saying, “Bleak, dystopian, and an absolute nightmare, to be honest with you. That’s just my interview techniques. So let’s talk about the movie.”
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'He also offered her an ambassadorship to the Czech Republic', 'The video only came after he lost his yogurt sponsorship', 'But obviously not physically', 'So let’s talk about the movie.”', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["He also offered her an ambassadorship to the Czech Republic", "The video only came after he lost his yogurt sponsorship", "But obviously not physically", "So let\u2019s talk about the movie.\u201d"], 2]
|
{"index": 117453, "title": "Hollywood Stories: Someone Encouraged Trump To Tweet"}
|
All
|
<collie.constraints.All object at 0x169905e10>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 260
|
guten_c06a
|
'Then hold on to me,' said the Giant, 'so that I may lead you up above again.'
|
Please generate a sentence:
1) with at least 17 words;
2) with all words having at most 5 characters.
|
[17, 5]
|
{"Title": ["The Yellow Fairy Book"], "Author": [], "gd-path": "283/28314.txt"}
|
All
|
<collie.constraints.All object at 0x1697e42e0>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 261
|
wiki_c14
|
The Church of St Peter the Poor Fisherman in the village of Noss Mayo, in Devon, England, was built in 1226. It is located in the former civil parish of Revelstoke. It is recorded in the National Heritage List for England as a designated Grade I listed building, and is a redundant church in the care of the Churches Conservation Trust. It was declared redundant on 6 April 1971, and was vested in the Trust on 28 June 1972.
The mediaeval church has Saxon origins with portions being built in the 13th, 14th and 15th centuries. The aisle and the porch still have their carved wagon roofs; however, the roofs have fallen down over the rest of the building.
In 1880–82 a new church, also dedicated to St Peter, was built nearby and this church fell into disrepair. It is still consecrated and occasional services are held in the church during the summer.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'It was declared redundant on 6 April 1971, and was vested in the Trust on 28 June 1972', 'The aisle and the porch still have their carved wagon roofs; however, the roofs have fallen down over the rest of the building', 'It is still consecrated and occasional services are held in the church during the summer', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["It was declared redundant on 6\u00a0April 1971, and was vested in the Trust on 28\u00a0June 1972", "The aisle and the porch still have their carved wagon roofs; however, the roofs have fallen down over the rest of the building", "It is still consecrated and occasional services are held in the church during the summer"], 2]
|
{"index": 3257159, "title": "Church of St Peter the Poor Fisherman, Revelstoke"}
|
All
|
<collie.constraints.All object at 0x168ddbc40>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 262
|
wiki_c05
|
Urad was born on 23 June 1991 in , Viciebsk Region of Belarus.
|
Please generate a sentence:
1) with exactly 12 words;
2) with the 4th, 8th, 11th words to be 'on', 'in', 'of' respectively.
|
[12, ["on", "in", "of"]]
|
{"index": 6281006, "title": "Dzianis Urad"}
|
All
|
<collie.constraints.All object at 0x169857eb0>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 263
|
wiki_c07
|
In 1982, when AIIMS opened the Cardiothoracic Sciences Centre, Gopinath became its founder chief.
|
Please generate a sentence containing the word 'the', 'Gopinath', 'In'.
|
["the", "Gopinath", "In"]
|
{"index": 4736108, "title": "Nagarur Gopinath"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 264
|
ccnews_c08
|
His response is mixed, a combination of pridefulness and disinterest. His smile says one thing—very real and appreciative of being held in such regard—but his eyes and voice say something else, as he distances himself from a life he is unwilling to completely embrace just yet.
|
Please generate a paragraph with all sentences having the 1st word to be 'His'.
|
"His"
|
{"index": 489505, "title": "Les Miles Is Enjoying Life Post-LSU-and Preparing for the Next Run"}
|
Constraint
|
Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(0))),
Relation(==),
Reduction(all)
)
|
''
| 265
|
ccnews_c12
|
Chan gave a radio interview Thursday in which he teased that a Rush Hour 4 in very much in the works — the first misadventure in the series since 2007. “For the last seven years, we’ve been turning down the script, turning down the script,” Chan told L.A. outlet Power 106’s The Cruz Show. “Yesterday, we just agreed.” Watch the video above.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) with sentences having the last word to be '2007', 'Show', 'above', respectively.
|
[3, ["2007", "Show", "above"]]
|
{"index": 511986, "title": "Jackie Chan Teases \u2018Rush Hour 4\u2019: \u201cWe Just Agreed\u201d"}
|
All
|
<collie.constraints.All object at 0x169729fc0>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
))
| 266
|
wiki_c12
|
Among the main peoples that moved to Turkey were Adyghe, Ubykhs, Muslim Abkhazians – hence the reference in the name to the deportation being of Circassians. The Shapsugh tribe, which had numbered some 300,000, was reduced to the 3,000 people who managed to flee into the forests and plains. The 140 Shapsugh that remained were sent to Siberia. Overall, calculations including those taking into account the Russian government's own archival figures as well as Ottoman figures have estimated a loss of 90, 94% or 95–97% of the Circassian nation in the process.
|
Please generate a paragraph:
1) with exactly 4 sentences;
2) with sentences having the last word to be 'Circassians', 'plains', 'Siberia', 'process', respectively.
|
[4, ["Circassians", "plains", "Siberia", "process"]]
|
{"index": 1188600, "title": "Circassian genocide"}
|
All
|
<collie.constraints.All object at 0x1695207c0>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
))
| 267
|
english_c01
|
circumcising
|
Please generate a word with at least 12 characters.
|
[12]
|
{}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
)
|
''
| 268
|
wiki_c09
|
In 2017 Gautam G. Yadav published papers reporting that alkaline batteries made by interleaving the interlayers with copper ions could be recharged for over 6,000 cycles due to the theoretical second electron capacity of manganese dioxide. The energy density of these rechargeable batteries with copper intercalated manganese dioxide is reported to be over 160Wh/L, the best among the aqueous-based chemistries. It could be capable of energy densities comparable to lithium-ion (> 250Wh/L) if zinc utilization in the batteries is improved.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) not containing the word 'there';
3) not containing the word 'this';
4) not containing the word 'and'.
|
[3, "there", "this", "and"]
|
{"index": 262021, "title": "Alkaline battery"}
|
All
|
<collie.constraints.All object at 0x1694a7ac0>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
))
| 269
|
ccnews_c09
|
There’s also an interesting story that accompanies Batmobile replica 005. For the mid-1960’s television series, Barris created the first Batmobile from the Lincoln Futura concept car then followed it up with four replicas for touring and promotion. Meanwhile, a Batman superfan by the name of Jim Sermersheim decided to build his own copy of the Batmobile, using a 1958 Ford Thunderbird chassis as the starting point.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) not containing the word 'be';
3) not containing the word 'this';
4) not containing the word 'in'.
|
[3, "be", "this", "in"]
|
{"index": 135330, "title": "Buy This Official Batmobile Replica For Your Personal Batcave"}
|
All
|
<collie.constraints.All object at 0x16967bb80>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
))
| 270
|
english_c01
|
indeterminism
|
Please generate a word with at least 13 characters.
|
[13]
|
{}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
)
|
''
| 271
|
guten_c06a
|
Well, the women get to loving you, and after they've been in the cave a week or two weeks they stop crying and after that you couldn't get them to leave.
|
Please generate a sentence:
1) with at least 33 words;
2) with all words having at most 6 characters.
|
[33, 6]
|
{"Title": ["The Adventures of Tom Sawyer, Part 8."], "Author": ["Mark Twain"], "gd-path": "072/07200.txt"}
|
All
|
<collie.constraints.All object at 0x1697e5960>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 272
|
wiki_c07
|
Like many others, they are heading south in a long line of refugees escaping Paris by whatever means of transport possible.
|
Please generate a sentence containing the word 'of', 'means', 'by'.
|
["of", "means", "by"]
|
{"index": 2890381, "title": "Strayed (2003 film)"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 273
|
guten_c14
|
Maggie and Bessie ran round to the other side; and there, to their great surprise, stood Dolly's two marigolds. Forlorn enough they certainly looked among the flourishing plants and bright blossoms which had been the fruit of their cousins' labors; even more forlorn than they had done when Dolly left them as her dying legacy to the dear little ones who had been her friends.
The flower which had been in blossom when she died, now hung black and withered on its feeble stem, kept there only by the fringed paper which she had put about it with such touching care. The second bud had half opened into another scragly, stunted flower, about which not even the most loving eyes could see the slightest beauty, and, in spite of the care which Maggie and Bessie had given them, the leaves of both plants were wilted and drooping. But there was more than one heart at that table for which those feeble, sickly plants had a value far beyond that of the richest and rarest exotic.
Beside the marigolds stood a bird-cage, and in it, hopping about, and with his little head perking from side to side, as he watched the scene so curious and new to him, was a beautiful canary-bird. He was not singing now, for he did not know what to make of it all, and was not quite sure whether he were pleased or no; but, as the children stood looking from him to the marigolds in blank amazement, he gave a little inquiring "cheep, cheep!" as a first move to a better acquaintance.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'Forlorn enough they certainly looked among the flourishing plants and bright blossoms which had been the fruit of their cousins' labors; even more forlorn than they had done when Dolly left them as her dying legacy to the dear little ones who had been her friends', 'But there was more than one heart at that table for which those feeble, sickly plants had a value far beyond that of the richest and rarest exotic', 'as a first move to a better acquaintance', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["Forlorn enough they certainly looked among the flourishing plants and bright blossoms which had been the fruit of their cousins' labors; even more forlorn than they had done when Dolly left them as her dying legacy to the dear little ones who had been her friends", "But there was more than one heart at that table for which those feeble, sickly plants had a value far beyond that of the richest and rarest exotic", "as a first move to a better acquaintance"], 2]
|
{"Title": ["Bessie among the Mountains"], "Author": ["Joanna H. (Joanna Hooe) Mathews"], "gd-path": "444/44445.txt"}
|
All
|
<collie.constraints.All object at 0x168e38e20>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 274
|
ccnews_c05
|
It was not mentioned in court why the charges were reduced, in what appears to be a plea deal.
|
Please generate a sentence:
1) with exactly 19 words;
2) with the 4th, 8th, 11th words to be 'mentioned', 'the', 'reduced' respectively.
|
[19, ["mentioned", "the", "reduced"]]
|
{"index": 422350, "title": "British trio on rape trial plead guilty to reduced charges"}
|
All
|
<collie.constraints.All object at 0x169246fe0>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 275
|
guten_c05
|
To secure this strip of uniform width, the shooting board shown in Fig.
|
Please generate a sentence:
1) with exactly 13 words;
2) with the 4th, 8th, 11th words to be 'strip', 'the', 'shown' respectively.
|
[13, ["strip", "the", "shown"]]
|
{"Title": ["Carpentry and Woodwork"], "Author": ["Edwin W. Foster"], "gd-path": "435/43574.txt"}
|
All
|
<collie.constraints.All object at 0x169789480>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 276
|
wiki_c07
|
No evidence of this station remains.
|
Please generate a sentence containing the word 'remains', 'of', 'this'.
|
["remains", "of", "this"]
|
{"index": 2422512, "title": "James Street railway station (Liverpool Overhead Railway)"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 277
|
guten_c09
|
I had been living in Montgomery as a bachelor, at the house of Mr. Wm. Knox, an old friend--my family having gone to spend some time with a beloved brother, in Maryland, until I could see, by the light of events, what final disposition to make of it. It did not occupy me long, therefore, to make my preparations for departure, in obedience to my orders. I took a respectful, and affectionate leave of the officers of the government, with whom I had been associated, and embarked on the afternoon of the same day on which I had received my orders, on board the steamer Southern Republic for Mobile. At Mobile I fell in with Lieutenant Chapman, one of the officers who had been detailed to report to me, and he, being a minute-man like myself, took a hasty leave of a young wife, and we continued our journey together.
|
Please generate a paragraph:
1) with exactly 5 sentences;
2) not containing the word 'there';
3) not containing the word 'this';
4) not containing the word 'is'.
|
[5, "there", "this", "is"]
|
{"Title": ["Memoirs of Service Afloat, During the War Between the States"], "Author": ["Raphael Semmes"], "gd-path": "348/34827.txt"}
|
All
|
<collie.constraints.All object at 0x1693411e0>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
))
| 278
|
guten_c08
|
And then when I went up to bed she come up with me and fetched her candle, and tucked me in, and mothered me so good I felt mean, and like I couldn't look her in the face; and she set down on the bed and talked with me a long time, and said what a splendid boy Sid was, and didn't seem to want to ever stop talking about him; and kept asking me every now and then if I reckoned he could a got lost, or hurt, or maybe drownded, and might be laying at this minute somewheres suffering or dead, and she not by him to help him, and so the tears would drip down silent, and I would tell her that Sid was all right, and would be home in the morning, sure; and she would squeeze my hand, or maybe kiss me, and tell me to say it again, and keep on saying it, because it done her good, and she was in so much trouble. And when she was going away she looked down in my eyes so steady and gentle, and says:
|
Please generate a paragraph with all sentences having the 1st word to be 'And'.
|
"And"
|
{"Title": ["Adventures of Huckleberry Finn, Chapters 36 to The Last"], "Author": ["Mark Twain"], "gd-path": "071/07107.txt"}
|
Constraint
|
Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(0))),
Relation(==),
Reduction(all)
)
|
''
| 279
|
wiki_c05
|
The CIA dropped supplies such as ammunition, radios, and gold at Nagchuka to Ma Liang.
|
Please generate a sentence:
1) with exactly 15 words;
2) with the 4th, 8th, 11th words to be 'supplies', 'radios', 'at' respectively.
|
[15, ["supplies", "radios", "at"]]
|
{"index": 3165733, "title": "Kuomintang Islamic insurgency"}
|
All
|
<collie.constraints.All object at 0x169895b10>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 280
|
ccnews_c07
|
Police told the Observer on Sunday that two people had been arrested following the incident.
|
Please generate a sentence containing the word 'on', 'incident', 'people'.
|
["on", "incident", "people"]
|
{"index": 436747, "title": "Update: Woman seriously hurt following Bexhill brawl"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 281
|
guten_c04
|
He says this à propos of the Hairless Paper-pad Holder, the bald idea of which was suggested in _Mr.
|
Please generate a sentence with exactly 100 characters. Include whitespace into your character count.
|
100
|
{"Title": ["Punch, or the London Charivari, Volume 99, July 12, 1890"], "Author": ["Various"], "gd-path": "119/11907.txt"}
|
Constraint
|
Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
)
|
''
| 282
|
wiki_c11
|
The original case of the character was MOTH's painting Yayin Gongyu(雅音宫羽), which was named the winning work in the image collection event held in 2011, She is a highly recognizable image of the Chinese style - with Chinese hairstyles and clothes based on the girls' school uniforms of the China in the 1920s-30s era. The event received 12 votes and 83.3% rating from netizens at the end of the event. Although the first popular work in the event is Yu Caiyin and was officially selected, but for marketing reasons did not first launch it.
|
Please generate a paragraph:
1) with at least 3 sentences;
2) with all sentences having at least 16 words.
|
[3, 16]
|
{"index": 4950828, "title": "Luo Tianyi"}
|
All
|
<collie.constraints.All object at 0x16950b160>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 283
|
guten_c05
|
A feeling of gratitude inspired you, and therefore God was with you, and preserved you.
|
Please generate a sentence:
1) with exactly 15 words;
2) with the 4th, 8th, 11th words to be 'gratitude', 'therefore', 'with' respectively.
|
[15, ["gratitude", "therefore", "with"]]
|
{"Title": ["Harper's Young People, November 18, 1879\tAn Illustrated Weekly"], "Author": ["Various"], "gd-path": "281/28196.txt"}
|
All
|
<collie.constraints.All object at 0x16976a260>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 284
|
english_c02
|
unprotestantizes
|
Please generate a word:
1) with exactly 16 characters;
2) with the 4th, 8th, 11th characters to be 'r', 's', 'n' respectively.
|
[16, ["r", "s", "n"]]
|
{}
|
All
|
<collie.constraints.All object at 0x16959ce20>
|
(Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 285
|
ccnews_c04
|
NK> Sam T at his best was way better than Hardaker is, was, or ever will be, I think we are full agreement on that.
|
Please generate a sentence with exactly 115 characters. Include whitespace into your character count.
|
115
|
{"index": 278586, "title": "The Worlds Most Popular Rugby League Website"}
|
Constraint
|
Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
)
|
''
| 286
|
ccnews_c06a
|
“I want people to think of Hen as a person and not as an oddity.”
|
Please generate a sentence:
1) with at least 17 words;
2) with all words having at most 6 characters.
|
[17, 6]
|
{"index": 210586, "title": "Cazenovia mummy makes hospital visit to undergo medical testing"}
|
All
|
<collie.constraints.All object at 0x169286f20>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 287
|
english_c01
|
misreadings
|
Please generate a word with at least 11 characters.
|
[11]
|
{}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
)
|
''
| 288
|
wiki_c07
|
As mammals, the most familiar is likely the American black bear.
|
Please generate a sentence containing the word 'most', 'As', 'likely'.
|
["most", "As", "likely"]
|
{"index": 4257474, "title": "Appalachian temperate rainforest"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 289
|
english_c02
|
untameableness
|
Please generate a word:
1) with exactly 14 characters;
2) with the 4th, 8th, 11th characters to be 'a', 'b', 'n' respectively.
|
[14, ["a", "b", "n"]]
|
{}
|
All
|
<collie.constraints.All object at 0x1695b7760>
|
(Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 290
|
ccnews_c05
|
Luther Strange of the Great State of Alabama has my endorsement.
|
Please generate a sentence:
1) with exactly 11 words;
2) with the 4th, 8th, 11th words to be 'the', 'Alabama', 'endorsement' respectively.
|
[11, ["the", "Alabama", "endorsement"]]
|
{"index": 691510, "title": "Trump tweets more support for senator in Alabama race"}
|
All
|
<collie.constraints.All object at 0x169210ca0>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 291
|
english_c01
|
nociceptive
|
Please generate a word with at least 11 characters.
|
[11]
|
{}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
)
|
''
| 292
|
wiki_c14
|
Philippe Grenier (14 August 1865 – 25 March 1944) was a French politician who served as a member of the Chamber of Deputies for Doubs from 1896 to 1898. He became a convert to Islam during a trip to French Algeria in 1894 and later the first Muslim member of the French Parliament in history.
Grenier studied in Besançon and Paris. A doctor by occupation in his home town of Pontarlier, he became a municipal councillor by campaigning on public health issues and public assistance.
He was later elected to the French Parliament with 51% of the vote in the second round in 1896; in the Chamber of Deputies he was registered as a member of the Radical Left. Mainly because of his support for regulatory laws on alcohol, he was not reelected in 1898. He ran for the seat again in 1902 but was beaten a second time.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'He became a convert to Islam during a trip to French Algeria in 1894 and later the first Muslim member of the French Parliament in history', 'A doctor by occupation in his home town of Pontarlier, he became a municipal councillor by campaigning on public health issues and public assistance', 'He ran for the seat again in 1902 but was beaten a second time', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["He became a convert to Islam during a trip to French Algeria in 1894 and later the first Muslim member of the French Parliament in history", "A doctor by occupation in his home town of Pontarlier, he became a municipal councillor by campaigning on public health issues and public assistance", "He ran for the seat again in 1902 but was beaten a second time"], 2]
|
{"index": 1691458, "title": "Philippe Grenier"}
|
All
|
<collie.constraints.All object at 0x168e11000>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 293
|
guten_c12
|
The printing press now for the first time appeared as the vehicle for popular literature; the art of the bard gave place to the art of the typographer, and the art of the preacher saw confronting it a formidable rival in that of the pamphleteer. Similarly in the French Revolution modern journalism, till then unimportant and sporadic, received its first great development, and began seriously to displace alike the preacher, the pamphlet, and the broadside. The flood of theological disquisitions, satires, dialogues, sermons, which now poured from every press in Germany, overflowed into all classes of society. These writings are so characteristic of the time that it is worth while devoting a few pages to their consideration, the more especially because it will afford us the opportunity for considering other changes in that spirit of the age, partly diseased growths of decaying mediævalism, and partly the beginnings of the modern critical spirit, which also find expression in the literature of the Reformation period.
|
Please generate a paragraph:
1) with exactly 4 sentences;
2) with sentences having the last word to be 'pamphleteer', 'broadside', 'society', 'period', respectively.
|
[4, ["pamphleteer", "broadside", "society", "period"]]
|
{"Title": ["German Society at the Close of the Middle Ages"], "Author": ["Ernest Belfort Bax"], "gd-path": "478/47868.txt"}
|
All
|
<collie.constraints.All object at 0x1693feaa0>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
))
| 294
|
wiki_c12
|
Atchison Victory was purchased by Furness Withy in 1946 and renamed SS Mohamed Ali el-Kebir. After refitting as an 8199-GRT 78 passenger, 1st class accommodations, cargo liner, she began service between Alexandria and New York City in 1948. She was renamed the SS Salah el-Din in 1960, but service to New York ended when she was nationalized by the United Arab Maritime Company in 1961 and converted back to a cargo only ship.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) with sentences having the last word to be 'el-Kebir', '1948', 'ship', respectively.
|
[3, ["el-Kebir", "1948", "ship"]]
|
{"index": 4948498, "title": "SS Atchison Victory"}
|
All
|
<collie.constraints.All object at 0x1695545e0>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
))
| 295
|
ccnews_c06a
|
McGee did not return a phone message left at a number listed for her.
|
Please generate a sentence:
1) with at least 14 words;
2) with all words having at most 7 characters.
|
[14, 7]
|
{"index": 376111, "title": "Detectives: Dad tells daughter he killed her mom 30 years ago"}
|
All
|
<collie.constraints.All object at 0x169284040>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 296
|
wiki_c05
|
The W is internally staffed and scheduled as part of the .
|
Please generate a sentence:
1) with exactly 11 words;
2) with the 4th, 8th, 11th words to be 'internally', 'as', 'the' respectively.
|
[11, ["internally", "as", "the"]]
|
{"index": 274417, "title": "W (New York City Subway service)"}
|
All
|
<collie.constraints.All object at 0x169833f70>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 297
|
guten_c04
|
Here, the enemy would find it almost impossible to bring his heavy siege guns within range.
|
Please generate a sentence with exactly 91 characters. Include whitespace into your character count.
|
91
|
{"Title": ["The Building of Castello de San Marcos\tNational Park Service Interpretive Series, History No. 1"], "Author": ["Albert C. Manucy"], "gd-path": "472/47216.txt"}
|
Constraint
|
Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
)
|
''
| 298
|
guten_c06a
|
It was in my company he learnt of it."
|
Please generate a sentence:
1) with at least 10 words;
2) with all words having at most 7 characters.
|
[10, 7]
|
{"Title": ["Tom Willoughby's Scouts: A Story of the War in German East Africa"], "Author": ["Herbert Strang"], "gd-path": "399/39912.txt"}
|
All
|
<collie.constraints.All object at 0x1697cae00>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 299
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.