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_c07 | I hooked mine too." | Please generate a sentence containing the word 'too', 'hooked', 'I'. | ["too", "hooked", "I"] | {"Title": ["Poor and Proud, or the Fortunes of Katy Redburn: a Story for Young Folks"], "Author": ["Oliver Optic"], "gd-path": "004/00484.txt"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 100 |
guten_c12 | THE GROUND-WATER SURFACE is the name given the upper surface of ground water, the level below which all rocks are saturated. In dry seasons the ground-water surface sinks. For ground water is constantly seeping downward under gravity, it is evaporated in the waste and its moisture is carried upward by capillarity and t... | Please generate a paragraph:
1) with exactly 4 sentences;
2) with sentences having the last word to be 'saturated', 'sinks', 'air', 'rises', respectively. | [4, ["saturated", "sinks", "air", "rises"]] | {"Title": ["The Elements of Geology"], "Author": ["William Harmon Norton"], "gd-path": "042/04204.txt"} | All | <collie.constraints.All object at 0x1693e35e0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 101 |
english_c03 | freischutz | Please generate a word:
1) with exactly 10 characters;
2) with the last character to be 'z'. | [10, "z"] | {} | All | <collie.constraints.All object at 0x1695e65c0> | (Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position(-1)),
Relation(==),
Reduction(None)
)) | 102 |
wiki_c07 | He was in another war story in Comfort's Escape to Danger (1943), then was back with Powell and Pressburger for A Canterbury Tale (1944). | Please generate a sentence containing the word 'Canterbury', 'another', 'war'. | ["Canterbury", "another", "war"] | {"index": 675370, "title": "Eric Portman"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 103 |
wiki_c04 | The top three finishers from each of the heats advanced directly to the semifinals. | Please generate a sentence with exactly 83 characters. Include whitespace into your character count. | 83 | {"index": 2357435, "title": "Canoeing at the 1968 Summer Olympics \u2013 Men's K-1 1000 metres"} | Constraint | Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
) | '' | 104 |
wiki_c04 | A moderator on the 4Kids forums stated in November 2009 that 4Kids no longer holds the license. | Please generate a sentence with exactly 95 characters. Include whitespace into your character count. | 95 | {"index": 4104952, "title": "Kirby: Right Back at Ya!"} | Constraint | Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
) | '' | 105 |
ccnews_c05 | The New York real estate mogul relinquished operational power to his sons. | Please generate a sentence:
1) with exactly 12 words;
2) with the 4th, 8th, 11th words to be 'real', 'operational', 'his' respectively. | [12, ["real", "operational", "his"]] | {"index": 297618, "title": "Donald Trump Impeachment Petition Nearly Reaches Alarming 1 Million Signatures"} | All | <collie.constraints.All object at 0x16922fdc0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 106 |
ccnews_c05 | Siegler said from the beginning of time until 2003, humankind produced approximately 5 exabytes of data. | Please generate a sentence:
1) with exactly 16 words;
2) with the 4th, 8th, 11th words to be 'the', 'until', 'produced' respectively. | [16, ["the", "until", "produced"]] | {"index": 655129, "title": "3 Ways Machine Learning Will Improve Your Marketing"} | All | <collie.constraints.All object at 0x16922de40> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 107 |
ccnews_c10 | The Holy Mackerel first-anniversary and Weed Reaper launch event will take place from 1 to 9 p.m. Saturday, March 24. Each ticket includes a free tasting glass and drink samples from all participating breweries. Guests can also purchase $5 individual beer tickets for a ten-ounce pour. | 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 20 words. | [3, 12, 20] | {"index": 451087, "title": "Holy Mackerel Beer in Pompano Beach Anniversary Party March 24"} | All | <collie.constraints.All object at 0x1696d7400> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 108 |
wiki_c12 | Last was born in 1974 in Camden, New Jersey. He grew up in Woodbury and Moorestown Township, New Jersey. Last is a graduate of Johns Hopkins University where he studied molecular biology. According to Tim Miller, had Last gone to a less competitive college, Last would be a doctor. | Please generate a paragraph:
1) with exactly 4 sentences;
2) with sentences having the last word to be 'Jersey', 'Jersey', 'biology', 'doctor', respectively. | [4, ["Jersey", "Jersey", "biology", "doctor"]] | {"index": 1346164, "title": "Jonathan V. Last"} | All | <collie.constraints.All object at 0x16950bca0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 109 |
guten_c07 | Of the young women employed by the department, there are, he says, some, if not many, whom it is impossible to acquit of inattention and levity in the discharge of their official duties. | Please generate a sentence containing the word 'acquit', 'of', 'says'. | ["acquit", "of", "says"] | {"Title": ["Punch, or the London Charivari, Volume 102, April 30, 1892"], "Author": ["Various"], "gd-path": "145/14544.txt"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 110 |
wiki_c07 | When she arrives to question her, he finds that Graham already left with her. | Please generate a sentence containing the word 'her', 'question', 'with'. | ["her", "question", "with"] | {"index": 5301759, "title": "Relev\u00e9s (Hannibal)"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 111 |
guten_c05 | But the long arms of our men pull them down; they fall. | Please generate a sentence:
1) with exactly 12 words;
2) with the 4th, 8th, 11th words to be 'arms', 'pull', 'they' respectively. | [12, ["arms", "pull", "they"]] | {"Title": ["The Sentimental Vikings"], "Author": ["R. V. (Richard Voorhees) Risley"], "gd-path": "321/32191.txt"} | All | <collie.constraints.All object at 0x16978ac20> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 112 |
wiki_c05 | It is located in the municipality of Peel en Maas, about 1 km west of Baarlo. | Please generate a sentence:
1) with exactly 16 words;
2) with the 4th, 8th, 11th words to be 'in', 'Peel', 'about' respectively. | [16, ["in", "Peel", "about"]] | {"index": 2131726, "title": "Bong, Maasbree"} | All | <collie.constraints.All object at 0x1698b0fd0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 113 |
ccnews_c14 | Takotsubo syndrome is named after a type of fishing pot used by Japanese fishermen. The pot is used to trap an octopus.
The name comes from images of the heart following an occurrence of takotsubo. The ballooning of the left ventricle causes the heart to take on a shape similar to the fishing pot.
Japanese doctors ar... | Please generate a passage:
1) with paragraphs having the last sentence to be 'The pot is used to trap an octopus', 'The ballooning of the left ventricle causes the heart to take on a shape similar to the fishing pot', 'It has only recently been recognized in the United States, according to the Harvard report', respecti... | [["The pot is used to trap an octopus", "The ballooning of the left ventricle causes the heart to take on a shape similar to the fishing pot", "It has only recently been recognized in the United States, according to the Harvard report"], 2] | {"index": 399955, "title": "Broken-heart syndrome: Can you die from a broken heart?"} | All | <collie.constraints.All object at 0x169931690> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 114 |
guten_c10 | "That's neither 'ere nor there," ses the skip-per. "The watchman has lost twenty-five quid belonging to one o' my men. The question is, wot is he going to do about it?" | Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 11 words;
3) with all sentences having at most 13 words. | [3, 11, 13] | {"Title": ["Paying Off\tDeep Waters, Part 2."], "Author": ["W. W. (William Wymark) Jacobs"], "gd-path": "114/11472.txt"} | All | <collie.constraints.All object at 0x16939ae00> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 115 |
wiki_c12 | John Harris Whitmire (born August 13, 1949) is an American attorney and politician who is the longest-serving current member of the Texas State Senate. Since 1983, he has represented District 15, which includes much of northern Houston, Texas. His tenure earns him the title of Dean of the Senate. Previously he was a me... | Please generate a paragraph:
1) with exactly 5 sentences;
2) with sentences having the last word to be 'Senate', 'Texas', 'Senate', '1982', 'tradition', respectively. | [5, ["Senate", "Texas", "Senate", "1982", "tradition"]] | {"index": 485006, "title": "John Whitmire"} | All | <collie.constraints.All object at 0x169520220> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 116 |
ccnews_c06a | Both Karan and Nisha have been active on social media. | Please generate a sentence:
1) with at least 10 words;
2) with all words having at most 6 characters. | [10, 6] | {"index": 60742, "title": "Karan Mehra & Nisha Rawal Welcome Their Baby Boy; Share An Adorable Picture"} | All | <collie.constraints.All object at 0x169285a80> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 117 |
guten_c07 | This king appointed his brother, Armais, to be his deputy over Egypt." | Please generate a sentence containing the word 'brother', 'be', 'This'. | ["brother", "be", "This"] | {"Title": ["Against Apion"], "Author": ["Flavius Josephus"], "gd-path": "028/02849.txt"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 118 |
wiki_c05 | This work was inspired by Cushing, then of the Bureau of American Ethnology of Washington. | Please generate a sentence:
1) with exactly 15 words;
2) with the 4th, 8th, 11th words to be 'inspired', 'of', 'of' respectively. | [15, ["inspired", "of", "of"]] | {"index": 172240, "title": "Stewart Culin"} | All | <collie.constraints.All object at 0x169876e30> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 119 |
guten_c10 | The pageant of Religious Splendor is the final photoplay form in the classification which this work seeks to establish. Much of what follows will be to reënforce the heads of these first discourses. Further comment on the Religious Photoplay may be found in the eleventh chapter, entitled "Architecture-in-Motion." | Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 14 words;
3) with all sentences having at most 19 words. | [3, 14, 19] | {"Title": ["The Art of the Moving Picture"], "Author": ["Vachel Lindsay"], "gd-path": "130/13029.txt"} | All | <collie.constraints.All object at 0x1693c8400> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 120 |
guten_c09 | Two cabinets which had belonged to Louis XV were the finest specimens known in the world. They contained Sèvres porcelain and briar-root pipes. A third cabinet was in the purest style of boarding house art. A small gilt sofa was covered with old French tapestry which would have brought five pounds the square inch at an... | 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": ["A Gray Eye or So\tIn Three Volumes\u2014Volume II"], "Author": ["Frank Frankfort Moore"], "gd-path": "519/51945.txt"} | All | <collie.constraints.All object at 0x1692e6200> | (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(wo... | 121 |
wiki_c09 | Beckwith's memoir, Delta Force, reports that commanders of the 5th Special Forces Group were asked by top brass of the Pentagon to quickly organize a Green Beret counter-terrorist unit to fill in until Delta Force was fully operational; Beckwith estimated it would take two years. Blue Light and Delta had a somewhat adv... | 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"] | {"index": 594773, "title": "Blue Light (counter-terrorist subunit)"} | All | <collie.constraints.All object at 0x169490dc0> | (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(wo... | 122 |
ccnews_c07 | DPS said the wreck was blocking the HOV and No. | Please generate a sentence containing the word 'the', 'said', 'was'. | ["the", "said", "was"] | {"index": 622710, "title": "Motorcyclist, 2 others injured in multi-vehicle crash on I-10"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 123 |
ccnews_c06a | “They need to figure out their party. | Please generate a sentence:
1) with at least 8 words;
2) with all words having at most 6 characters. | [8, 6] | {"index": 201954, "title": "Wynne delivers keynote address at pre-election Ont. Liberal gathering"} | All | <collie.constraints.All object at 0x169286200> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 124 |
guten_c07 | Mr. Carnegie makes the triumphant calculation that the child is born who will see more than 400,000,000 people under the sway of the United States. | Please generate a sentence containing the word 'United', 'that', 'States'. | ["United", "that", "States"] | {"Title": ["Imperial Federation\tThe Problem of National Unity"], "Author": ["George Parkin"], "gd-path": "450/45025.txt"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 125 |
wiki_c04 | The passageway from the main road to the gopuram has an image of Nandi, located axial to the sanctum. | Please generate a sentence with exactly 101 characters. Include whitespace into your character count. | 101 | {"index": 4775205, "title": "Tirukkazhippalai Palvannanathar Temple"} | Constraint | Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
) | '' | 126 |
wiki_c06a | Kathoka (Kasoka) meaning a person who loads the gun; rams the charge into the gun. | Please generate a sentence:
1) with at least 15 words;
2) with all words having at most 7 characters. | [15, 7] | {"index": 3609971, "title": "Mbunda language"} | All | <collie.constraints.All object at 0x1698b3a90> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 127 |
ccnews_c07 | He added that Russia respects press freedom and treats foreign media equally. | Please generate a sentence containing the word 'that', 'Russia', 'and'. | ["that", "Russia", "and"] | {"index": 9296, "title": "Kremlin warns US against restrictions on Russian media"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 128 |
ccnews_c04 | It demanded greater share of the proceeds of the oil wealth to improve the region and lives of its people. | Please generate a sentence with exactly 106 characters. Include whitespace into your character count. | 106 | {"index": 360184, "title": "MEND makes U-turn, accuses Buhari of 'grand deception'"} | Constraint | Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
) | '' | 129 |
ccnews_c07 | More African leaders need to acknowledge the gravity of the crisis and apply pressure on Kabila through existing African Union mechanisms. | Please generate a sentence containing the word 'of', 'need', 'existing'. | ["of", "need", "existing"] | {"index": 454767, "title": "DRC faces upsurge of violence unless a deal is done with Kabila"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 130 |
guten_c11 | Moreover, the countries of which the inhabitants, even without a representative government, or any institution of peerage, annex so much importance to genealogy and the advantages of birth, are not always those in which family aristocracy is most offensive. We do not find among the natives of Spanish origin, that cold ... | Please generate a paragraph:
1) with at least 3 sentences;
2) with all sentences having at least 22 words. | [3, 22] | {"Title": ["Personal Narrative of Travels to the Equinoctial Regions of America, During the Year 1799-1804 \u2014 Volume 1"], "Author": ["Alexander von Humboldt"], "gd-path": "063/06322.txt"} | All | <collie.constraints.All object at 0x1693c9fc0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 131 |
guten_c12 | In spring the Oriole's food seems to be almost entirely of an animal nature, consisting of caterpillars, beetles, and other insects, which it seldom pursues on the wing, but seeks with great activity among the leaves and branches. It also eats ripe fruit. The males of this elegant species of Oriole acquire the full bea... | Please generate a paragraph:
1) with exactly 3 sentences;
2) with sentences having the last word to be 'branches', 'fruit', 'birth', respectively. | [3, ["branches", "fruit", "birth"]] | {"Title": ["Birds Illustrated by Color Photography [June, 1897]\tA Monthly Serial designed to Promote Knowledge of Bird-Life"], "Author": ["Various"], "gd-path": "306/30666.txt"} | All | <collie.constraints.All object at 0x1693e1060> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 132 |
guten_c05 | With the thumbs, press the hollow inside until the bottom is like an oblong tablet. | Please generate a sentence:
1) with exactly 15 words;
2) with the 4th, 8th, 11th words to be 'press', 'until', 'is' respectively. | [15, ["press", "until", "is"]] | {"Title": ["Text books of art education, v. 2 of 7. Book II, Second Year"], "Author": ["Hugo B. Froehlich", "Bonnie E. Snow"], "gd-path": "374/37495.txt"} | All | <collie.constraints.All object at 0x16978bbe0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 133 |
ccnews_c14 | Finishing the calendar year top of the league, Feyenoord have been enjoying an excellent season so far. With an exciting mix of experience (think of Dirk Kuyt) and young talent, they look like genuine title contenders.
Of the best young talents the Rotterdam based outfit have is Rick Karsdorp. Enjoying his breakthroug... | Please generate a passage:
1) with paragraphs having the last sentence to be 'With an exciting mix of experience (think of Dirk Kuyt) and young talent, they look like genuine title contenders', 'Enjoying his breakthrough season under the mentorship of Feyenoord manager Giovanni van Bronckhorst, the 21-year-old right ba... | [["With an exciting mix of experience (think of Dirk Kuyt) and young talent, they look like genuine title contenders", "Enjoying his breakthrough season under the mentorship of Feyenoord manager Giovanni van Bronckhorst, the 21-year-old right back has already earned his first Netherlands call up", "After Feyenoord\u201... | {"index": 155150, "title": "5 players in Holland that YOUR club should sign in the January transfer window"} | All | <collie.constraints.All object at 0x169930d90> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 134 |
ccnews_c05 | Well, some of it is going to come from Netflix poaching one of Disney’s prized jewels. | Please generate a sentence:
1) with exactly 18 words;
2) with the 4th, 8th, 11th words to be 'it', 'come', 'poaching' respectively. | [18, ["it", "come", "poaching"]] | {"index": 568629, "title": "Netflix losing Disney? No big deal says Piper Jaffray analyst"} | All | <collie.constraints.All object at 0x169213940> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 135 |
english_c01 | meaningfulness | Please generate a word with at least 14 characters. | [14] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 136 |
english_c01 | incautions | Please generate a word with at least 10 characters. | [10] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 137 |
ccnews_c07 | The company says the seat height adjustment links can break or detach from the seat frame, changing the seat angle and increasing the risk of a crash. | Please generate a sentence containing the word 'crash', 'links', 'company'. | ["crash", "links", "company"] | {"index": 295961, "title": "Mazda recalls nearly 174K cars to fix faulty seats"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 138 |
wiki_c09 | In November of that year, the group was tried in a closed trial at Insein Prison. Khun Htun Oo was found guilty on all charges and sentenced to 93 years' imprisonment. Amnesty International criticized the trial as falling "far short of international fair trial standards", noting that the defendants were denied access t... | 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": 2889613, "title": "Khun Htun Oo"} | All | <collie.constraints.All object at 0x169493b20> | (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(wo... | 139 |
wiki_c05 | In 1887, he was appointed instructor at the Agricultural College, and in 1899, was given a full professorship. | Please generate a sentence:
1) with exactly 18 words;
2) with the 4th, 8th, 11th words to be 'was', 'the', 'and' respectively. | [18, ["was", "the", "and"]] | {"index": 3330201, "title": "Max Delbr\u00fcck (chemist)"} | All | <collie.constraints.All object at 0x169833cd0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 140 |
guten_c09 | "When he had thus upbraided him, his sons being brought into his presence, Panionius was compelled to castrate his own sons, who were four in number; and, being compelled, he did it; and after he had finished it, his sons, being compelled, castrated him. Thus did vengeance and Hermotimus overtake Panionius." Herodotus,... | Please generate a paragraph:
1) with exactly 4 sentences;
2) not containing the word 'the';
3) not containing the word 'this';
4) not containing the word 'is'. | [4, "the", "this", "is"] | {"Title": ["The Satyricon \u2014 Complete"], "Author": ["Petronius Arbiter"], "gd-path": "052/05225.txt"} | All | <collie.constraints.All object at 0x1693416c0> | (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(wo... | 141 |
english_c01 | fescennine | Please generate a word with at least 10 characters. | [10] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 142 |
ccnews_c11 | The Supreme Court has taken many affirmative action cases since the Bakke decision and most recently and surprisingly voted 4 to 3 to “uphold a race-conscious program at the University of Texas at Austin (Fisher v. University of Texas) that had been challenged by a white student who had been denied admission” (“Trump a... | Please generate a paragraph:
1) with at least 3 sentences;
2) with all sentences having at least 16 words. | [3, 16] | {"index": 367185, "title": "Bakke, Fisher, Sessions, and the Future of Affirmative Action"} | All | <collie.constraints.All object at 0x1696ecd60> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 143 |
ccnews_c05 | In painstaking sequence, Dr. Barnard stitched the donor heart in place. | Please generate a sentence:
1) with exactly 11 words;
2) with the 4th, 8th, 11th words to be 'Dr', 'donor', 'place' respectively. | [11, ["Dr", "donor", "place"]] | {"index": 354842, "title": "First Successful Heart Transplant: This Week in History"} | All | <collie.constraints.All object at 0x16922f5e0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 144 |
guten_c10 | Just inside the gate stood an ancient domicile that by daylight was shaded by a giant sycamore. Built of small bricks, it had latticed windows, and a gabled front. An iron weathercock perched on the curling shingle roof seemed to gaze saucily down at the girls. | 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 17 words. | [3, 12, 17] | {"Title": ["Hoofbeats on the Turnpike"], "Author": ["Mildred A. (Mildred Augustine) Wirt"], "gd-path": "346/34691.txt"} | All | <collie.constraints.All object at 0x16937d600> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 145 |
ccnews_c06a | And it didn’t take him long to meet those. | Please generate a sentence:
1) with at least 11 words;
2) with all words having at most 5 characters. | [11, 5] | {"index": 134901, "title": "NASCAR | Could Dale Earnhardt Jr. win last race at Texas? | The State"} | All | <collie.constraints.All object at 0x169285e40> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 146 |
wiki_c07 | Riley was born and raised in Guin, Alabama, a community in the western part of the state. | Please generate a sentence containing the word 'western', 'Alabama', 'in'. | ["western", "Alabama", "in"] | {"index": 1787316, "title": "Bud Riley"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 147 |
wiki_c14 | Thestor basutus, the Basuto skolly or Basuto magpie, is a butterfly of the family Lycaenidae. It is found in South Africa, Botswana and Zimbabwe.
The wingspan is 30–39 mm for males and 35–42 mm for females. Adults are on wing from October to November and from February to April. There is one generation per year.
Larva... | Please generate a passage:
1) with paragraphs having the last sentence to be 'It is found in South Africa, Botswana and Zimbabwe', 'There is one generation per year', 'Larvae of subspecies capeneri feed on Pulvinaria iceryi until their third instar, the fourth and final instar larvae live in the nests of pugnacious ant... | [["It is found in South Africa, Botswana and Zimbabwe", "There is one generation per year", "Larvae of subspecies capeneri feed on Pulvinaria iceryi until their third instar, the fourth and final instar larvae live in the nests of pugnacious ants, which feed them by trophallaxis, they also feed on detritus and ant larv... | {"index": 3142715, "title": "Thestor basutus"} | All | <collie.constraints.All object at 0x168dece80> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 148 |
english_c01 | lumberjacks | Please generate a word with at least 11 characters. | [11] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 149 |
english_c02 | destructibleness | Please generate a word:
1) with exactly 16 characters;
2) with the 4th, 8th, 11th characters to be 't', 't', 'l' respectively. | [16, ["t", "t", "l"]] | {} | All | <collie.constraints.All object at 0x1695b6a40> | (Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 150 |
guten_c10 | Each sentinel moves up toward the place from which he heard the leader's voice come. And on his way there he tells all the buffaloes he meets to move up also. Besides, all the buffaloes hear the leader's voice too; so they begin to close up at once. | Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 16 words;
3) with all sentences having at most 18 words. | [3, 16, 18] | {"Title": ["The Wonders of the Jungle\tBook One"], "Author": ["Sarath Kumar Ghosh"], "gd-path": "248/24852.txt"} | All | <collie.constraints.All object at 0x1693b04c0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 151 |
ccnews_c12 | A similar episode occurred exactly 10 years earlier, though few may remember. In February 2008, the failure of an obscure market precipitated a similar selling frenzy. At the time, this sell-off went mostly unrecognized as a harbinger of something worse because the stock market quickly recovered. | Please generate a paragraph:
1) with exactly 3 sentences;
2) with sentences having the last word to be 'remember', 'frenzy', 'recovered', respectively. | [3, ["remember", "frenzy", "recovered"]] | {"index": 694316, "title": "Recent stock market sell-off foreshadows a new recession"} | All | <collie.constraints.All object at 0x169729c00> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 152 |
wiki_c10 | Sing Out/March On is a song by Joshuah Campbell released in 2017. Both the musical style and the lyrics call back to the songs of the civil rights era. The song was notably performed during Harvard University's 2018 commencement ceremony in honor of commencement speaker John Lewis. | 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": 5678184, "title": "Sing Out March On"} | All | <collie.constraints.All object at 0x1695087c0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 153 |
guten_c07 | He had to give all his attention to Zip. | Please generate a sentence containing the word 'his', 'He', 'to'. | ["his", "He", "to"] | {"Title": ["Six Little Bunkers at Grandma Bell's"], "Author": ["Laura Lee Hope"], "gd-path": "146/14623.txt"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 154 |
english_c02 | bibliomaniac | Please generate a word:
1) with exactly 12 characters;
2) with the 4th, 8th, 11th characters to be 'l', 'a', 'a' respectively. | [12, ["l", "a", "a"]] | {} | All | <collie.constraints.All object at 0x1695b52a0> | (Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 155 |
guten_c05 | The pardon is dated on the 13th of November, 1713, and is signed by Bolingbroke. | Please generate a sentence:
1) with exactly 15 words;
2) with the 4th, 8th, 11th words to be 'dated', 'of', 'and' respectively. | [15, ["dated", "of", "and"]] | {"Title": ["The Life of Daniel De Foe"], "Author": ["George Chalmers"], "gd-path": "407/40703.txt"} | All | <collie.constraints.All object at 0x169769000> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 156 |
english_c02 | rationalizing | Please generate a word:
1) with exactly 13 characters;
2) with the 4th, 8th, 11th characters to be 'i', 'l', 'i' respectively. | [13, ["i", "l", "i"]] | {} | All | <collie.constraints.All object at 0x1695ccf40> | (Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 157 |
wiki_c10 | Natrix maura is a natricine water snake of the genus Natrix. Its common name is viperine water snake or viperine snake. Despite its common names, it is not a member of the subfamily Viperinae. This nonvenomous, semiaquatic, fish-eating snake was given its common names due to behavioural and aesthetic similarities with ... | Please generate a paragraph:
1) with exactly 4 sentences;
2) with all sentences having at least 10 words;
3) with all sentences having at most 20 words. | [4, 10, 20] | {"index": 1354064, "title": "Natrix maura"} | All | <collie.constraints.All object at 0x1694eb7c0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 158 |
ccnews_c09 | Rescue workers assisted by Thai navy SEALs started teaching some members of a young soccer team and their coach how to swim and dive Wednesday, more than a week after they became trapped in a cave in northern Thailand. The boys, aged 11-16, and their 25-year-old coach, have been stranded deep inside the Tham Luang Nang... | Please generate a paragraph:
1) with exactly 4 sentences;
2) not containing the word 'be';
3) not containing the word 'this';
4) not containing the word 'is'. | [4, "be", "this", "is"] | {"index": 135050, "title": "Fourth of July, Wimbledon, high temperatures across U.S.: 5 things to know Wednesday"} | All | <collie.constraints.All object at 0x1696379a0> | (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(wo... | 159 |
wiki_c07 | The Bulgarian lands across the Danube or Transdanubian Bulgaria () is a term by which Bulgarian historiography means the territories under the rule and control of the Bulgarian Empire north of the Danube. | Please generate a sentence containing the word 'a', 'Empire', 'term'. | ["a", "Empire", "term"] | {"index": 1673965, "title": "Bulgarian lands across the Danube"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 160 |
wiki_c10 | Conformal prediction is used in a variety of fields and is an active area of research. For example, in biotechnology it has been used to predict uncertainties in breast cancer, stroke risks and more. Within language technology, conformal prediction papers are routinely presented at COPA. | Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 11 words;
3) with all sentences having at most 18 words. | [3, 11, 18] | {"index": 6361464, "title": "Conformal prediction"} | All | <collie.constraints.All object at 0x1694eac80> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 161 |
guten_c05 | Slowly he sank on to the bench and gazed at the restless rolling sea. | Please generate a sentence:
1) with exactly 14 words;
2) with the 4th, 8th, 11th words to be 'on', 'and', 'the' respectively. | [14, ["on", "and", "the"]] | {"Title": ["Partners: A Novel."], "Author": ["E. Werner"], "gd-path": "351/35135.txt"} | All | <collie.constraints.All object at 0x169769a80> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 162 |
ccnews_c06a | They don’t enjoy it, but if there’s an anomaly inside, they have to check it out. | Please generate a sentence:
1) with at least 20 words;
2) with all words having at most 7 characters. | [20, 7] | {"index": 537695, "title": "Airline passenger fined after keeping free airline apple"} | All | <collie.constraints.All object at 0x1692849a0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 163 |
wiki_c11 | The last picture of The Slippery Slope shows Violet, wearing a poncho, and Sunny on a wooden raft, floating down the Stricken Stream. Violet is holding onto Klaus, who is in the water, and Quigley is seen upstream, holding on to another wooden raft, and holding his commonplace notebook up in the air. In a reference to ... | Please generate a paragraph:
1) with at least 3 sentences;
2) with all sentences having at least 23 words. | [3, 23] | {"index": 248223, "title": "The Slippery Slope"} | All | <collie.constraints.All object at 0x16950a260> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 164 |
wiki_c09 | The house features white clapboard siding and ornate wooden trim around all the windows and below the eaves. There is a large front porch with a balcony on the second floor; a smaller balcony is located on the east side of the house on the second floor. A porte-cochere (carriage entrance) is found on the west side with... | 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 'in'. | [5, "be", "this", "in"] | {"index": 4785954, "title": "Ezra Meeker Mansion"} | All | <collie.constraints.All object at 0x16941d300> | (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(wo... | 165 |
wiki_c09 | The Tacony-Palmyra Bridge, one of only two Delaware River spans connecting New Jersey with northeast Philadelphia (the other being the Betsy Ross Bridge further downstream), has its Pennsylvania terminus in Tacony. The bridge, which carries Pennsylvania Route 73, connects with New Jersey Route 73 in Palmyra, New Jerse... | Please generate a paragraph:
1) with exactly 4 sentences;
2) not containing the word 'be';
3) not containing the word 'to';
4) not containing the word 'is'. | [4, "be", "to", "is"] | {"index": 876618, "title": "Tacony, Philadelphia"} | All | <collie.constraints.All object at 0x16941c460> | (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(wo... | 166 |
ccnews_c06a | Unless you’re willing to spend upwards of £4000 on a Nikon D5 or Sony A9, this camera has the best feature set of any DSLR around. | Please generate a sentence:
1) with at least 28 words;
2) with all words having at most 7 characters. | [28, 7] | {"index": 31194, "title": "Nikon D850 review"} | All | <collie.constraints.All object at 0x169287a60> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 167 |
english_c01 | cumulation | Please generate a word with at least 10 characters. | [10] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 168 |
wiki_c09 | OpenSearch Description Documents list search result responses for the given website/tool. Version 1.0 of the specification only allowed one response, in RSS format; however, version 1.1 provides support for multiple responses, which may be in any format. RSS and Atom are the only ones formally supported by OpenSearch a... | Please generate a paragraph:
1) with exactly 3 sentences;
2) not containing the word 'there';
3) not containing the word 'to';
4) not containing the word 'is'. | [3, "there", "to", "is"] | {"index": 468638, "title": "OpenSearch"} | All | <collie.constraints.All object at 0x169464d00> | (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(wo... | 169 |
ccnews_c07 | The measure easily passed the Senate last month. | Please generate a sentence containing the word 'Senate', 'The', 'the'. | ["Senate", "The", "the"] | {"index": 538214, "title": "Georgia House backs push to keep lottery winners anonymous"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 170 |
wiki_c05 | MiWay offers local transit, as well as service to Islington Subway Station and Square One. | Please generate a sentence:
1) with exactly 15 words;
2) with the 4th, 8th, 11th words to be 'transit', 'service', 'Subway' respectively. | [15, ["transit", "service", "Subway"]] | {"index": 506209, "title": "Meadowvale, Mississauga"} | All | <collie.constraints.All object at 0x169874430> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 171 |
wiki_c10 | The 2017 Internationaux Féminins de la Vienne was a professional tennis tournament played on indoor hard courts. It was the twenty-first edition of the tournament and was part of the 2017 ITF Women's Circuit. It took place in Poitiers, France, on 23–29 October 2017. | 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": 5380675, "title": "2017 Internationaux F\u00e9minins de la Vienne"} | All | <collie.constraints.All object at 0x1694e8400> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 172 |
wiki_c05 | With the privatization of JNR on 1 April 1987, control of the station passed to JR Shikoku. | Please generate a sentence:
1) with exactly 17 words;
2) with the 4th, 8th, 11th words to be 'of', 'April', 'of' respectively. | [17, ["of", "April", "of"]] | {"index": 2309491, "title": "Akaboshi Station"} | All | <collie.constraints.All object at 0x169877b50> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 173 |
ccnews_c07 | Meghan Markle and Amal Clooney apparently have a mane man in common *yuk,yuk*. | Please generate a sentence containing the word 'Amal', 'yuk', 'yuk'. | ["Amal", "yuk", "yuk"] | {"index": 625106, "title": "Celeb Hairstylist Miguel Perez May Do Meghan Markle\u2019s Wedding Hair"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 174 |
wiki_c05 | In October 2011, the Buggles reunited to play at the British Music Experience at the O2 Arena in London. | Please generate a sentence:
1) with exactly 19 words;
2) with the 4th, 8th, 11th words to be 'the', 'play', 'British' respectively. | [19, ["the", "play", "British"]] | {"index": 21595, "title": "The Buggles"} | All | <collie.constraints.All object at 0x169875150> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 175 |
guten_c06a | Well, as soon as she had gone I wrote to twelve women, giving them a bare sketch of the truth, and sent the notes off in the motor. | Please generate a sentence:
1) with at least 28 words;
2) with all words having at most 6 characters. | [28, 6] | {"Title": ["Black Oxen"], "Author": ["Gertrude Franklin Horn Atherton"], "gd-path": "255/25542.txt"} | All | <collie.constraints.All object at 0x1697e4880> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 176 |
wiki_c07 | The spinodal line on right is the boundary of absolute instability of a solution to decomposition into multiple phases. | Please generate a sentence containing the word 'instability', 'on', 'right'. | ["instability", "on", "right"] | {"index": 4052183, "title": "Explosive boiling or phase explosion"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 177 |
guten_c14 | The king of the north once said to himself, "I am master of the country of ice and snow, but what is that if I cannot be ruler of the land of sunshine and flowers? I am no king if I fear the king of the south. The northwind shall bear my icy breath. Bird and beast shall quiver and tremble with cold. I myself will call... | Please generate a passage:
1) with paragraphs having the last sentence to be 'I myself will call in the voice of the thunder, and this ruler of the south, his king of summer, shall yield to my power."', 'The thunder growled in the hollows of the mountains, and in the fearful gloom came the white fire of the forked ligh... | [["I myself will call in the voice of the thunder, and this ruler of the south, his king of summer, shall yield to my power.\"", "The thunder growled in the hollows of the mountains, and in the fearful gloom came the white fire of the forked lightning, flaring through the clouds", "O dear ruler of the southland, must w... | {"Title": ["The Book of Nature Myths"], "Author": ["Florence Holbrook"], "gd-path": "224/22420.txt"} | All | <collie.constraints.All object at 0x168e393c0> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 178 |
guten_c05 | Mr. Fessenden continued at some length, and with much earnestness said:-- | Please generate a sentence:
1) with exactly 12 words;
2) with the 4th, 8th, 11th words to be 'at', 'with', 'said' respectively. | [12, ["at", "with", "said"]] | {"Title": ["Charles Sumner; his complete works, volume 7 (of 20)"], "Author": ["Charles Sumner"], "gd-path": "480/48077.txt"} | All | <collie.constraints.All object at 0x16978be80> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 179 |
guten_c10 | "As a computer, you're good, Cleve," Rodebush applauded. "So close that we can't use the neutralizers to catch him. If we use one dyne of drive we'll overshoot a million kilometers before I could snap the switch." | Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 11 words;
3) with all sentences having at most 20 words. | [3, 11, 20] | {"Title": ["Triplanetary"], "Author": ["E. E. (Edward Elmer) Smith"], "gd-path": "327/32706.txt"} | All | <collie.constraints.All object at 0x16939a080> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 180 |
guten_c07 | "We hope that nothing further will be asked of us, no scruples be felt as to our good intentions," he said, "and that if Spain and the Archdukes are not ready now to fulfil the treaty, their Majesties will know how to resent this trifling with their authority and dignity, and how to set matters to rights with their own... | Please generate a sentence containing the word 'no', 'Archdukes', 'Majesties'. | ["no", "Archdukes", "Majesties"] | {"Title": ["Life and Death of John of Barneveld, Advocate of Holland : with a view of the primary causes and movements of the Thirty Years' War, 1614-17"], "Author": ["John Lothrop Motley"], "gd-path": "048/04893.txt"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 181 |
wiki_c10 | In September 2018, he was named in the Hobart Hurricanes' squad for the 2018 Abu Dhabi T20 Trophy. He made his Twenty20 debut for the Hobart Hurricanes in the 2018 Abu Dhabi T20 Trophy on 5 October 2018. He made his first-class debut for Tasmania in the 2018–19 Sheffield Shield season on 12 March 2019. | Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 17 words;
3) with all sentences having at most 20 words. | [3, 17, 20] | {"index": 4501993, "title": "Sean Willis"} | All | <collie.constraints.All object at 0x1694e9180> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 182 |
wiki_c06a | In the second verse, Jay Z alleges that Prodigy (member of Mobb Deep) took ballet classes as a child and mocks Prodigy's small stature. | Please generate a sentence:
1) with at least 25 words;
2) with all words having at most 7 characters. | [25, 7] | {"index": 499789, "title": "Takeover (song)"} | All | <collie.constraints.All object at 0x1698c5e70> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 183 |
wiki_c09 | The 32nd Philips Rally Argentina was the fifth round of 2012 FIA World Rally Championship. It is the longest rally of the year, covering total of 502.73 stage kilometres, with Ambul also being the longest stage of the year. The event took place between 26 and 29 April 2012. | 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": 3771674, "title": "2012 Rally Argentina"} | All | <collie.constraints.All object at 0x169481cc0> | (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(wo... | 184 |
wiki_c05 | Between 1976-83 a reversible pumping station was built, which was the second phase of the project. | Please generate a sentence:
1) with exactly 16 words;
2) with the 4th, 8th, 11th words to be 'reversible', 'built', 'the' respectively. | [16, ["reversible", "built", "the"]] | {"index": 3114289, "title": "Peru\u0107ac lake"} | All | <collie.constraints.All object at 0x1698b2770> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 185 |
wiki_c14 | Almond trees are small to medium sized and but commercial cultivars can be grafted onto a different root-stock to produce smaller trees. Varieties include: Nonpareil - originates in the 1800s. A large tree that produces large, smooth, thin-shelled almonds with 60–65% edible kernel per nut. Requires pollination from ot... | Please generate a passage:
1) with paragraphs having the last sentence to be 'Mariana - used as a rootstock to result in smaller trees', 'The pollination of California's almonds is the largest annual managed pollination event in the world, with 1.4 million hives (nearly half of all beehives in the US) being brought to ... | [["Mariana - used as a rootstock to result in smaller trees", "The pollination of California's almonds is the largest annual managed pollination event in the world, with 1.4 million hives (nearly half of all beehives in the US) being brought to the almond orchards each February", "However, through natural hybridisation... | {"index": 242, "title": "Almond"} | All | <collie.constraints.All object at 0x168dee980> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 186 |
ccnews_c07 | Because these uses are not compatible, the county should develop policies that limit the types of industrial development along the rail line. | Please generate a sentence containing the word 'line', 'rail', 'county'. | ["line", "rail", "county"] | {"index": 300996, "title": "Protect Clark County: Letter to the editor"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 187 |
ccnews_c11 | The idea of a savoury doughnut may sound odd but really without the sugar, it’s just fried dough that’s ready to be flavoured with anything delicious – like crab. These puffs are filled with a mixture of white crab meat and crème Fraiche meaning they’re light as anything and incredibly moreish. They arrive dusted with ... | Please generate a paragraph:
1) with at least 3 sentences;
2) with all sentences having at least 22 words. | [3, 22] | {"index": 648329, "title": "London's Poshest Bar Snacks"} | All | <collie.constraints.All object at 0x1696ed300> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 188 |
guten_c07 | Everywhere the powerful labor to put one another out of worship, and each to stand the higher with the other's corpse as his pedestal; and always Lechery and Hatred sway these proud and inconsiderate fools as winds blow at will the gay leaves of autumn. | Please generate a sentence containing the word 'Everywhere', 'out', 'winds'. | ["Everywhere", "out", "winds"] | {"Title": ["Chivalry"], "Author": ["James Branch Cabell"], "gd-path": "224/22463.txt"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 189 |
english_c01 | pugnacious | Please generate a word with at least 10 characters. | [10] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 190 |
wiki_c14 | De Swaen is a defunct restaurant in Oisterwijk, Netherlands. The fine dining restaurant was awarded one or two Michelin stars each year in the period 1981–1998. In the period 1984-1991 it was awarded 2 Michelin stars. The restaurant was awarded one star in the periods 1981-1983 and 2002–2003.
Hotel De Swaen opened in ... | Please generate a passage:
1) with paragraphs having the last sentence to be 'The restaurant was awarded one star in the periods 1981-1983 and 2002–2003', 'In 1980 Van Dun left and Piet Rutten was promoted to director and front of house manager while Spijkers headed the kitchen', 'In 2006 De Swaen reopened as "Brasseri... | [["The restaurant was awarded one star in the periods 1981-1983 and 2002\u20132003", "In 1980 Van Dun left and Piet Rutten was promoted to director and front of house manager while Spijkers headed the kitchen", "In 2006 De Swaen reopened as \"Brasserie De Swaen\"", "Cas Spijkers was very surprised to hear that he was r... | {"index": 3538431, "title": "De Swaen"} | All | <collie.constraints.All object at 0x168ded420> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 191 |
guten_c07 | She had coddled thirty-five grand-children there, and given instruction to some half-dozen daughters-in-law. | Please generate a sentence containing the word 'had', 'coddled', 'there'. | ["had", "coddled", "there"] | {"Title": ["The Card, a Story of Adventure in the Five Towns"], "Author": ["Arnold Bennett"], "gd-path": "129/12986.txt"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 192 |
wiki_c14 | Recent developments in the Concourse include construction and neighborhood improvements, and the neighborhood is gentrifying . The Yankees built a new stadium in 2009. The former stadium was demolished; a large public park—Heritage Field—was established in its place. The Bronx Museum of the Arts undertook a major expan... | Please generate a passage:
1) with paragraphs having the last sentence to be 'The Bronx Terminal Market opened in 2009 as did the adjacent Mill Pond Park, which includes a Stadium Tennis Center', 'In 2011, the New York City Landmarks Preservation Commission designated a large portion of the neighborhood as the Grand Co... | [["The Bronx Terminal Market opened in 2009 as did the adjacent Mill Pond Park, which includes a Stadium Tennis Center", "In 2011, the New York City Landmarks Preservation Commission designated a large portion of the neighborhood as the Grand Concourse Historic District", "The first of two phases will have 600 affordab... | {"index": 5233326, "title": "Concourse, Bronx"} | All | <collie.constraints.All object at 0x168defb80> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 193 |
ccnews_c12 | Matt only had 13 top tens in 2017 with no wins to finish 7th place in the points. Moves overt to this car in 2018. Anderson’s Maple Syrup, Dollar Shave Club, and more companies will sponsor this car. I say he get 13-16 top tens in 2018 and finishes 5-18th place in the points. | Please generate a paragraph:
1) with exactly 4 sentences;
2) with sentences having the last word to be 'points', '2018', 'car', 'points', respectively. | [4, ["points", "2018", "car", "points"]] | {"index": 446587, "title": "2018 Xfinity Series Driver Previews Part One"} | All | <collie.constraints.All object at 0x1696efdc0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 194 |
guten_c07 | Another Ghostly Voice (very audibly). | Please generate a sentence containing the word 'very', 'Another', 'Ghostly'. | ["very", "Another", "Ghostly"] | {"Title": ["Punch, or the London Charivari, Volume 102, April 30, 1892"], "Author": ["Various"], "gd-path": "145/14544.txt"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 195 |
wiki_c12 | While attending Beaudesert High School, Gee played for the Australian Schoolboys team in 1986. He transferred from Beaudesert, Queensland to play in the NSWRL Premiership for the Brisbane Broncos in 1989, the club's second season. He started his representative career for Queensland the following year, selected as a res... | Please generate a paragraph:
1) with exactly 3 sentences;
2) with sentences having the last word to be '1986', 'season', 'series', respectively. | [3, ["1986", "season", "series"]] | {"index": 1472465, "title": "Andrew Gee"} | All | <collie.constraints.All object at 0x169556020> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 196 |
english_c01 | pedantising | Please generate a word with at least 11 characters. | [11] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 197 |
wiki_c10 | The forest broadly encircles the village of Betws-y-Coed, and much of its midsection lies within the parish. It reaches northwards to the village of Trefriw, and southwards to the village of Penmachno. It covers an area of over , including of productive woodland. | 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 17 words. | [3, 10, 17] | {"index": 858522, "title": "Gwydir Forest"} | All | <collie.constraints.All object at 0x1694b7040> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 198 |
ccnews_c09 | But shared rides haven’t been popular with many drivers. Uber drivers have complained UberPool means more work but not necessarily more pay. Some refuse to accept pooled rides. Many riders also avoid shared rides, preferring the comfort and efficiency of not riding with a stranger. | 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"] | {"index": 451689, "title": "Manhattan could get by with 78% fewer cabs"} | All | <collie.constraints.All object at 0x16964d720> | (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(wo... | 199 |
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