Dataset Viewer
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_c10
|
"I had been asleep when my wife wakened me. She asked for a medicine she used in these attacks. I got up and found the bottle, but it was empty. As she was nervous and frightened, I agreed to try to get some at a drug store. I went down-stairs, took Mrs. Pitman's boat, and went to several stores before I could awaken a pharmacist."
|
Please generate a paragraph:
1) with exactly 5 sentences;
2) with all sentences having at least 10 words;
3) with all sentences having at most 20 words.
|
[5, 10, 20]
|
{"Title": ["The Case of Jennie Brice"], "Author": ["Mary Roberts Rinehart"], "gd-path": "111/11127.txt"}
|
All
|
<collie.constraints.All object at 0x1693b2200>
|
(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)
))
| 0
|
english_c02
|
prosperousness
|
Please generate a word:
1) with exactly 14 characters;
2) with the 4th, 8th, 11th characters to be 's', 'o', 'n' respectively.
|
[14, ["s", "o", "n"]]
|
{}
|
All
|
<collie.constraints.All object at 0x1695cf940>
|
(Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 1
|
ccnews_c12
|
The options sheet shows that there is extensive customization inside the coupe, too. The upholstery includes lots of Acid Green touches, and there’s Graphite Blue covering certain areas, too. The cabin also features a Burmester surround sound system.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) with sentences having the last word to be 'too', 'too', 'system', respectively.
|
[3, ["too", "too", "system"]]
|
{"index": 135268, "title": "Porsche 911 Turbo S' Custom Factory Paint Job Costs Almost $100K"}
|
All
|
<collie.constraints.All object at 0x16970fa00>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
))
| 2
|
guten_c10
|
Oh High Heart of mine, Now list to a wonder! Thou shalt vent thy great rages In lightning and thunder. And the force of thy fury, more mighty than they, Shall rock mountains, and rip them asunder.
|
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]
|
{"Title": ["The Secret Life\tBeing the Book of a Heretic"], "Author": ["Elizabeth Bisland"], "gd-path": "460/46084.txt"}
|
All
|
<collie.constraints.All object at 0x16937f580>
|
(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)
))
| 3
|
english_c01
|
passifloraceae
|
Please generate a word with at least 14 characters.
|
[14]
|
{}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
)
|
''
| 4
|
english_c02
|
uncooperative
|
Please generate a word:
1) with exactly 13 characters;
2) with the 4th, 8th, 11th characters to be 'o', 'r', 'i' respectively.
|
[13, ["o", "r", "i"]]
|
{}
|
All
|
<collie.constraints.All object at 0x1695cd720>
|
(Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 5
|
guten_c12
|
Philip spoke truly. Hitherto Cholacaca had enjoyed immunity from the horrors of war. From the year 1840, when under the leadership of Zuloaga, the Republic had thrown off the yoke of Spain, there had been peace for a period of forty-five years. Those fratricidal wars which constantly convulsed the communities of South America were not to be found in the history of Cholacaca. The Republic kept well within her borders, was at peace with her neighbours, and under the rule of wise rulers, devoted herself to improving her material condition.
|
Please generate a paragraph:
1) with exactly 5 sentences;
2) with sentences having the last word to be 'truly', 'war', 'years', 'Cholacaca', 'condition', respectively.
|
[5, ["truly", "war", "years", "Cholacaca", "condition"]]
|
{"Title": ["The Harlequin Opal, Vol. 2 (of 3)\tA Romance"], "Author": ["Fergus Hume"], "gd-path": "431/43188.txt"}
|
All
|
<collie.constraints.All object at 0x1693fce80>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
))
| 6
|
ccnews_c09
|
Officials say an interim site at The Works, Toronto Public Health's own clinic, should be ready within a week. It was not clear how soon those at the two independent health centres would open. Dr. de Villa defended the time it was taking the city to open its supervised drug-use sites, saying the clinics need to be retrofitted to ensure safety for both patients and staff.
|
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"]
|
{"index": 633878, "title": "Toronto rushes to open interim supervised drug-use sites"}
|
All
|
<collie.constraints.All object at 0x16965ebc0>
|
(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)
))
| 7
|
guten_c07
|
Gazing down from heaven upon this sad scene, Juno directs Iris to hasten down and cut off a lock of Dido's hair, for it is only when this mystic ceremony has been performed that the soul can leave the body.
|
Please generate a sentence containing the word 'lock', 'soul', 'scene'.
|
["lock", "soul", "scene"]
|
{"Title": ["The Book of the Epic"], "Author": ["H. A. (H\u00e9l\u00e8ne Adeline) Guerber"], "gd-path": "139/13983.txt"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 8
|
english_c02
|
malleability
|
Please generate a word:
1) with exactly 12 characters;
2) with the 4th, 8th, 11th characters to be 'l', 'i', 't' respectively.
|
[12, ["l", "i", "t"]]
|
{}
|
All
|
<collie.constraints.All object at 0x1695cfbe0>
|
(Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 9
|
wiki_c10
|
Racing started on 29 October 1930 just eleven days after the Dundalk greyhound racing company was formed. The venue was called the Ramparts and was found east of central Dundalk, south of Rampart Lane. Paddy Martin was the founding director and also acted as Racing Manager at the track.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 15 words;
3) with all sentences having at most 17 words.
|
[3, 15, 17]
|
{"index": 5322048, "title": "Dundalk Ramparts Greyhound Stadium"}
|
All
|
<collie.constraints.All object at 0x1694b5540>
|
(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)
))
| 10
|
ccnews_c05
|
“Just from last year winning it, that’s motivation enough,” she said.
|
Please generate a sentence:
1) with exactly 15 words;
2) with the 4th, 8th, 11th words to be 'last', 'that', 'motivation' respectively.
|
[15, ["last", "that", "motivation"]]
|
{"index": 487610, "title": "Farrell: Double-winning Cats up for a fight again"}
|
All
|
<collie.constraints.All object at 0x169246aa0>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 11
|
ccnews_c05
|
He also raised concerns about the political leanings of members of Mueller's team.
|
Please generate a sentence:
1) with exactly 14 words;
2) with the 4th, 8th, 11th words to be 'concerns', 'leanings', 'of' respectively.
|
[14, ["concerns", "leanings", "of"]]
|
{"index": 275921, "title": "Trump increases criticism of special counsel"}
|
All
|
<collie.constraints.All object at 0x1692687c0>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 12
|
wiki_c12
|
Adolfati studied music composition in Venice with composer Galuppi. After completing his studies he became the maestro di cappella at the Santa Maria della Salute, a position he held until 1745. He then worked in the same capacity at the court in Modena, where his divertimento da camera La pace fra la virtù e la bellezza premiered in 1746. Around the same time he composed some songs and arias for Johann Adolph Hasse's Lo starnuto di Ercole, which was given at the Teatro San Girolamo (a small theatre located in the Palazzo Labia) in 1745 and during Carnival 1746.
|
Please generate a paragraph:
1) with exactly 4 sentences;
2) with sentences having the last word to be 'Galuppi', '1745', '1746', '1746', respectively.
|
[4, ["Galuppi", "1745", "1746", "1746"]]
|
{"index": 3022298, "title": "Andrea Adolfati"}
|
All
|
<collie.constraints.All object at 0x1695205e0>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
))
| 13
|
wiki_c12
|
In Middle Eastern countries, which were created from the dismembered Ottoman Empire (and were initially under an Allied protectorate) the fate of the ethnos was better. The Al Jeish al Arabi (Arab Legion), created in Trans-Jordan under the influence of Lawrence, in significant part consisted of Chechens — arguably because the Bedouin were reluctant to serve under the centralized command. In addition, the modern city of Amman was born after Circassians settled there in 1887.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) with sentences having the last word to be 'better', 'command', '1887', respectively.
|
[3, ["better", "command", "1887"]]
|
{"index": 1188600, "title": "Circassian genocide"}
|
All
|
<collie.constraints.All object at 0x16953e020>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
))
| 14
|
ccnews_c14
|
-Throws in catch and shoot jumpers with some volume. Capable of making spot-ups in rhythm with feet set. Ball comes out of hand nicely.
-Has a solid feel for the game. Makes post entry passes with pinpoint entries.
-Shows flashes of competitiveness defensively. Rebounds at a high rate
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'Ball comes out of hand nicely', 'Makes post entry passes with pinpoint entries', 'Rebounds at a high rate', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["Ball comes out of hand nicely", "Makes post entry passes with pinpoint entries", "Rebounds at a high rate"], 2]
|
{"index": 316713, "title": "2016 FIBA U18 European Championship Scouting Reports: Wings"}
|
All
|
<collie.constraints.All object at 0x169931210>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 15
|
wiki_c07
|
Apex (tournament), a fighting game tournament focusing on Super Smash Bros. APEX (video game), a 2003 video game for the Xbox Apex Legends, a 2019 video game developed by Respawn Entertainment and published by Electronic Arts
|
Please generate a sentence containing the word '2019', 'focusing', 'by'.
|
["2019", "focusing", "by"]
|
{"index": 239399, "title": "Apex"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 16
|
ccnews_c14
|
Taking care of your health should always feature at the top of your priority list. And to ensure your job is a seamless one, let us introduce you to Aquafina Vitamin Splash. While the idea of an authentic ‘healthy’ drink might not be as believable today, this new product will restore your faith.
It seems like Aquafina Vitamin Splash is here to change the game for a lot of people who choose to lead healthy and fit lifestyles, and don’t want to compromise on what they drink. Available in in two delicious flavours – Kiwi Lime and Raspberry Mint, it’s safe to say, that you can drink it as much as you like, without worrying about putting on those extra kilos. How? Well, Aquafina Vitamin Splash is packed with vitamins and minerals such as selenium and zinc and what’s cool, is that it contains merely 35 calories per 250ml and is super hydrating.
Whether you decide to sip on it in between morning jogs or between your fitness training; just a dash of the refreshing flavours will rejuvenate you when you need it the most. If you’re a gym freak, we suggest you throw in a bottle or two into your bag, just in case you need to fuel up. Your body will thank you!
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'While the idea of an authentic ‘healthy’ drink might not be as believable today, this new product will restore your faith', 'Well, Aquafina Vitamin Splash is packed with vitamins and minerals such as selenium and zinc and what’s cool, is that it contains merely 35 calories per 250ml and is super hydrating', 'Your body will thank you!', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["While the idea of an authentic \u2018healthy\u2019 drink might not be as believable today, this new product will restore your faith", "Well, Aquafina Vitamin Splash is packed with vitamins and minerals such as selenium and zinc and what\u2019s cool, is that it contains merely 35 calories per 250ml and is super hydrating", "Your body will thank you!"], 2]
|
{"index": 163357, "title": "Wellness has a new face - Say hello to Aquafina Vitamin Splash"}
|
All
|
<collie.constraints.All object at 0x1699065f0>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 17
|
guten_c14
|
Far down the street, but yet distinct, the organ revived the tune again. My Frenchman shuddered, and got up.
"I cannot support it," he murmured. "You understand? The associations are too pathetic."
"They must be harrowing," I said. "Before you go, there is one thing I should like to ask you, if I may. Have I had the honour of meeting monsieur Tricotrin, or monsieur Pitou?"
He stroked his hat, and gazed at me in sad surprise. "Ah, but neither, monsieur," he groaned. "The associations are much more 'arrowing than that--I was the 'Johnnie in the Stalls'!"
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'My Frenchman shuddered, and got up', 'The associations are too pathetic."', 'Have I had the honour of meeting monsieur Tricotrin, or monsieur Pitou?"', '"The associations are much more 'arrowing than that--I was the 'Johnnie in the Stalls'!"', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["My Frenchman shuddered, and got up", "The associations are too pathetic.\"", "Have I had the honour of meeting monsieur Tricotrin, or monsieur Pitou?\"", "\"The associations are much more 'arrowing than that--I was the 'Johnnie in the Stalls'!\""], 2]
|
{"Title": ["A Chair on the Boulevard"], "Author": ["Leonard Merrick"], "gd-path": "099/09928.txt"}
|
All
|
<collie.constraints.All object at 0x168e130a0>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 18
|
english_c02
|
teleferiques
|
Please generate a word:
1) with exactly 12 characters;
2) with the 4th, 8th, 11th characters to be 'e', 'i', 'e' respectively.
|
[12, ["e", "i", "e"]]
|
{}
|
All
|
<collie.constraints.All object at 0x16959fd60>
|
(Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 19
|
guten_c05
|
Anything you say, of course, will be given in evidence against you."
|
Please generate a sentence:
1) with exactly 13 words;
2) with the 4th, 8th, 11th words to be 'of', 'given', 'against' respectively.
|
[13, ["of", "given", "against"]]
|
{"Title": ["Hard Pressed"], "Author": ["Fred M. (Fred Merrick) White"], "gd-path": "335/33512.txt"}
|
All
|
<collie.constraints.All object at 0x169746320>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 20
|
guten_c12
|
When Mrs. Hadleigh had found out what had happened, she declared he ought to be sent at once to the hospital. But her husband said the boy reminded him more of his brother every day, and for that brother's sake he should be nursed in the house. The doctor's verdict settled everything; he said the patient must on no account be moved; the hip-bone was broken, and he must be kept perfectly quiet.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) with sentences having the last word to be 'hospital', 'house', 'quiet', respectively.
|
[3, ["hospital", "house", "quiet"]]
|
{"Title": ["Owen's Fortune; Or, \"Durable Riches\""], "Author": ["Mrs. Frederic West"], "gd-path": "364/36493.txt"}
|
All
|
<collie.constraints.All object at 0x1693fc700>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
))
| 21
|
guten_c10
|
"If you care to see it, I should be glad to have you come with me. Now that I have reached the end of my search, I need someone to share my triumph with me." I glanced at him eagerly, but hardly understanding that his offer was serious.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 13 words;
3) with all sentences having at most 20 words.
|
[3, 13, 20]
|
{"Title": ["The Chamber of Life"], "Author": ["Green Peyton"], "gd-path": "258/25862.txt"}
|
All
|
<collie.constraints.All object at 0x16937fe80>
|
(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)
))
| 22
|
ccnews_c14
|
.TONIGHT...Partly cloudy. Lows 42 to 49. Light winds.
.MONDAY...Mostly sunny. Highs 65 to 70. Light winds.
.MONDAY NIGHT...Partly cloudy. Lows 46 to 52. Light winds.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'Light winds', 'Light winds', 'Light winds', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["Light winds", "Light winds", "Light winds"], 2]
|
{"index": 398638, "title": "CA San Diego CA Zone Forecast"}
|
All
|
<collie.constraints.All object at 0x1699317b0>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 23
|
wiki_c07
|
He was buried in St. Veep parish church.
|
Please generate a sentence containing the word 'He', 'buried', 'in'.
|
["He", "buried", "in"]
|
{"index": 675370, "title": "Eric Portman"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 24
|
guten_c14
|
Verily, verily, I say unto thee, We speak that we do know, and testify that we have seen; and ye receive not our witness. If I have told you earthly things, and ye believe not, how shall ye believe, if I tell you of heavenly things. And no man hath ascended up to heaven, but he that came down from heaven, even the Son of man which is in heaven.
And as Moses lifted up the serpent in the wilderness, even so must the Son of man be lifted up: that whosoever believeth in him should not perish, but have eternal life. For God so loved the world that he gave his only begotten Son, that whosoever believeth in him should not perish, but have everlasting life. For God sent not his Son into the world to condemn the world; but that the world through him might be saved.
He that believeth on him is not condemned: but he that believeth not is condemned already, because he hath not believed in the name of the only begotten Son of God. And this is the condemnation, that light is come into the world, and men loved darkness rather than light, because their deeds were evil. For every one that doeth evil hateth the light, neither cometh to the light, lest his deeds should be reproved. But he that doeth truth cometh to the light, that his deeds may be made manifest, that they are wrought in God.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'And no man hath ascended up to heaven, but he that came down from heaven, even the Son of man which is in heaven', 'For God sent not his Son into the world to condemn the world; but that the world through him might be saved', 'But he that doeth truth cometh to the light, that his deeds may be made manifest, that they are wrought in God', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["And no man hath ascended up to heaven, but he that came down from heaven, even the Son of man which is in heaven", "For God sent not his Son into the world to condemn the world; but that the world through him might be saved", "But he that doeth truth cometh to the light, that his deeds may be made manifest, that they are wrought in God"], 2]
|
{"Title": ["Walks and Words of Jesus: A Paragraph Harmony of the Four Evangelists"], "gd-path": "356/35674.txt"}
|
All
|
<collie.constraints.All object at 0x168e3a5c0>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 25
|
ccnews_c07
|
If MBUX isn't enough, the A-Class comes with even more technology to help keep you safe.
|
Please generate a sentence containing the word 'MBUX', 'the', 'more'.
|
["MBUX", "the", "more"]
|
{"index": 483614, "title": "2019 Mercedes-Benz A-Class preview: A 21st-century hatch"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 26
|
guten_c09
|
As a memory my pseudo-sister had been something bright and clear-cut and rather small; seen now, she was something that one could not look at for glow. She moved toward me, smiling and radiant, as a ship moves beneath towers of shining canvas. I was simply overwhelmed. I don't know what she said, what I said, what she did or I. I have an idea that we conversed for some minutes. I remember that she said, at some point,
|
Please generate a paragraph:
1) with exactly 5 sentences;
2) not containing the word 'be';
3) not containing the word 'to';
4) not containing the word 'is'.
|
[5, "be", "to", "is"]
|
{"Title": ["The Inheritors"], "Author": ["Ford Madox Ford", "Joseph Conrad"], "gd-path": "148/14888.txt"}
|
All
|
<collie.constraints.All object at 0x16932a0e0>
|
(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)
))
| 27
|
wiki_c10
|
In July 2014, Stepheson joined the Sacramento Kings for the 2014 NBA Summer League. He later signed in Turkey with the Turkish League club İstanbul BB for the 2014–15 season. In 29 games in the Turkish League, he averaged 12.3 points and 9.2 rebounds per game.
|
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 16 words.
|
[3, 14, 16]
|
{"index": 1688394, "title": "Alex Stepheson"}
|
All
|
<collie.constraints.All object at 0x1694d0040>
|
(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)
))
| 28
|
ccnews_c05
|
This scenario must actually be seen to be taking place - and regularly too.
|
Please generate a sentence:
1) with exactly 13 words;
2) with the 4th, 8th, 11th words to be 'actually', 'be', 'and' respectively.
|
[13, ["actually", "be", "and"]]
|
{"index": 448703, "title": "Ghana: Election 2016 and Ghana's March Towards a Liberal Democratic Tradition"}
|
All
|
<collie.constraints.All object at 0x169247fa0>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 29
|
guten_c10
|
"Because," he replied, "M. Vincent is completely ruined, it seems. He spent all his money, and a good deal of other people's money besides. Amanda, the chambermaid, told me; and I guess she knows."
|
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 15 words.
|
[3, 11, 15]
|
{"Title": ["Other People's Money"], "Author": ["\u00c9mile Gaboriau"], "gd-path": "017/01748.txt"}
|
All
|
<collie.constraints.All object at 0x16937d180>
|
(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)
))
| 30
|
english_c01
|
decaffeinated
|
Please generate a word with at least 13 characters.
|
[13]
|
{}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
)
|
''
| 31
|
ccnews_c14
|
At GOLDWOOD, we have always taken care of our valued customers requirements. And our efforts have not gone unnoticed. Within a short span of time people know our brand “GOLDWOOD” as a premium quality product which is made without any compromise. We all are leaders in our area of responsibilities with a deep commitment to deliver results. We are determined to be the best at doing what matters the most.
We work together on the principle of mutual trust and transparency in a boundary-less organization. We are intellectually honest in delivering quality, including on time delivery.
Responsibility towards the plywood industry and associated people has been ways of life for us since decades. It is a journey in progress, much beyond milestones. We are trying to reinvent the sense and sensibility of people of wood panel industry towards the quality of plywood and associated products through our no compromise action to make GOLDWOOD
At GOLDWOOD, growth is not just centered on profits; we place sustainable development at the core of our business decisions and align our sustainability strategy with our business goals. This means concern for NO COMPROMISE action for quality manufacturing with people growth and environment safety. We therefore take it upon ourselves to produce, provide and deliver in the right way.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'We are determined to be the best at doing what matters the most', 'We are intellectually honest in delivering quality, including on time delivery', 'We are trying to reinvent the sense and sensibility of people of wood panel industry towards the quality of plywood and associated products through our no compromise action to make GOLDWOOD', 'We therefore take it upon ourselves to produce, provide and deliver in the right way', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["We are determined to be the best at doing what matters the most", "We are intellectually honest in delivering quality, including on time delivery", "We are trying to reinvent the sense and sensibility of people of wood panel industry towards the quality of plywood and associated products through our no compromise action to make GOLDWOOD", "We therefore take it upon ourselves to produce, provide and deliver in the right way"], 2]
|
{"index": 78289, "title": "Goldwood Ply the Best Plywood Manufacturers in India"}
|
All
|
<collie.constraints.All object at 0x169906170>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 32
|
ccnews_c05
|
Hopefully I can live up to what he’s done.”
|
Please generate a sentence:
1) with exactly 12 words;
2) with the 4th, 8th, 11th words to be 'live', 'he', 'done' respectively.
|
[12, ["live", "he", "done"]]
|
{"index": 165000, "title": "Borucki delivers hope for Blue Jays - the wins will come"}
|
All
|
<collie.constraints.All object at 0x169246020>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 33
|
guten_c10
|
"I can get the supper," added a big rag doll. The other dolls had never liked her very well, but they thanked her now. She had taken lessons at a cooking-school, and knew how to make cake and candy. She gave French names to everything she made, and this made it taste better. Old Mother Hubbard was there, and she said the rag doll did not know how to cook anything.
|
Please generate a paragraph:
1) with exactly 5 sentences;
2) with all sentences having at least 12 words;
3) with all sentences having at most 18 words.
|
[5, 12, 18]
|
{"Title": ["The Night Before Christmas and Other Popular Stories For Children"], "Author": ["Various"], "gd-path": "132/13213.txt"}
|
All
|
<collie.constraints.All object at 0x1693b3ac0>
|
(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)
))
| 34
|
wiki_c05
|
He ran in the East Java X electoral district, which includes the Lamongan and Gresik regencies.
|
Please generate a sentence:
1) with exactly 16 words;
2) with the 4th, 8th, 11th words to be 'the', 'electoral', 'includes' respectively.
|
[16, ["the", "electoral", "includes"]]
|
{"index": 2871902, "title": "Mahfud MD"}
|
All
|
<collie.constraints.All object at 0x169856c50>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 35
|
ccnews_c06a
|
(PTI Photo) Mulayam Singh Yadav with brother and senior SP leader Shivpal Yadav at a poll rally in Etawah.
|
Please generate a sentence:
1) with at least 19 words;
2) with all words having at most 7 characters.
|
[19, 7]
|
{"index": 228514, "title": "Meanwhile in Uttar Pradesh, His Loneliness Mulayam Singh Yadav"}
|
All
|
<collie.constraints.All object at 0x16926be20>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 36
|
english_c02
|
olfactometry
|
Please generate a word:
1) with exactly 12 characters;
2) with the 4th, 8th, 11th characters to be 'a', 'm', 'r' respectively.
|
[12, ["a", "m", "r"]]
|
{}
|
All
|
<collie.constraints.All object at 0x1695cd9c0>
|
(Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 37
|
ccnews_c04
|
Or will we dance on the altar of political expediency again and hope to deal with the problems after elections.
|
Please generate a sentence with exactly 111 characters. Include whitespace into your character count.
|
111
|
{"index": 364144, "title": "The impact of minimum wage increase on labour cost"}
|
Constraint
|
Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
)
|
''
| 38
|
ccnews_c10
|
“When scientists say bears are going extinct, I want people to realize what it looks like. Bears are going to starve to death,” Nicklen told National Geographic. “This is what a starving bear looks like.”
|
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": 572826, "title": "Heartbreaking video shows emaciated polar bear struggling to survive"}
|
All
|
<collie.constraints.All object at 0x1696b8a00>
|
(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)
))
| 39
|
english_c01
|
andouillettes
|
Please generate a word with at least 13 characters.
|
[13]
|
{}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
)
|
''
| 40
|
guten_c09
|
Now, I happened to know myself to be as insensible as a stone to genius as manifested in the late M. Ingres. However, I despaired of persuading them that I was speaking the truth; and, despite the knowledge of their language with which they graciously credited me, I hunted about in vain for the French equivalent of "I know my own mind." Whereupon, allowing the conversation to take another turn, I fell to musing on those untranslatable words, together with the whole episode of the Mozart manuscript and the drawings of M. Ingres, including that rainy, chilly day at Montauban; and also another day of travel, even wetter and colder, which returned to my memory.
|
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"]
|
{"Title": ["Hortus Vitae\tEssays on the Gardening of Life"], "Author": ["Vernon Lee"], "gd-path": "268/26800.txt"}
|
All
|
<collie.constraints.All object at 0x1693438e0>
|
(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)
))
| 41
|
ccnews_c07
|
And according to the stylist, Amal and Meghan are pals, which is how he became connected to the soon-to-be royal in the first place.
|
Please generate a sentence containing the word 'Amal', 'became', 'Meghan'.
|
["Amal", "became", "Meghan"]
|
{"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)
)
|
''
| 42
|
guten_c10
|
I had had neither dinner nor supper, but the elder Greenes did not care for that. Mr. Greene sat silent in despair, and Mrs. Greene stormed about the room in her anger. "I am afraid you are very tired," said Sophonisba.
|
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 16 words.
|
[3, 11, 16]
|
{"Title": ["The Man Who Kept His Money in a Box"], "Author": ["Anthony Trollope"], "gd-path": "037/03767.txt"}
|
All
|
<collie.constraints.All object at 0x1693b2440>
|
(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)
))
| 43
|
wiki_c07
|
Lectionary 325 (Gregory-Aland), designated by siglum ℓ 325 (in the Gregory-Aland numbering) is a Greek manuscript of the New Testament, on parchment.
|
Please generate a sentence containing the word 'Greek', 'on', 'a'.
|
["Greek", "on", "a"]
|
{"index": 4076883, "title": "Lectionary 325"}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
)
|
''
| 44
|
guten_c14
|
This promising young officer, third son of John E. Tupper, Esq., by Elizabeth Brock, his wife, was educated at Harrow, and commenced his naval career in 1810, in the Victory, of 110 guns, under the care and patronage of the late Lord de Saumarez, with whom he continued some time in the Baltic. He served on the American coast during the latter part of the war, in the Asia, 74; and was present at the disastrous attack of New Orleans, in January, 1815, forming one of a party landed from the fleet, to co-operate with the army. On the night of the storm, this party, in conjunction with the 85th light infantry, under Colonel Thornton, attacked some fortified works on the right bank of the Mississippi, and were completely successful; but the failure of the main assault rendered this success unavailing. In the same year he joined the flag ship of Sir Thomas Fremantle, who, having been an intimate friend of his late uncle, Sir Isaac Brock, kindly assured him of his influence and support; but peace taking place before he had attained the requisite age for promotion, all the bright prospects with which he entered the service were blighted. In November, 1817, on his return in the Active frigate, Captain Philip Carteret, from the Jamaica station, he passed at the naval college at Portsmouth, and was one of four midshipmen complimented as having undergone a superior examination. In 1823, he was appointed to the Revenge, Sir Harry Neale's flag ship, in the Mediterranean, and placed on the admiralty list for advancement. Early in 1826, he was at length promoted into the Seringapatam frigate; but Sir John Pechell, under whom he had previously served for a short time, prevailed upon the admiral to transfer him to his own ship, the Sybille, of 48 guns, "a crack frigate," in a high state of discipline, the crew of which was remarkable for its skill in gunnery.
The Sybille was at Alexandria, when intelligence arrived there of the plunder of a Maltese vessel, under atrocious circumstances, by a nest of Greek pirates, on the southern coast of Candia. Sir John Pechell set sail immediately in quest of these lawless and desperate men. On Sunday, the 18th of June, 1826, at daylight, two misticoes were observed under sail, near Cape Matala, standing towards the frigate; but on discovering their mistake, they made for the land, and were followed by the Sybille, into a narrow creek formed by a rocky islet and the mainland of Candia. On this islet were posted from 200 to 300 armed Greeks, chiefly the crews of three or four piratical misticoes at anchor in the creek; and in a desperate attempt to cut out these misticoes, with the boats, Midshipman J.M. Knox and twelve men were killed; and the first lieutenant, Gordon, dangerously; Lieutenant Tupper, mortally; Midshipmen William Edmonstone and Robert Lees, both very severely; and twenty-seven men were wounded, of whom five died in a few days. Two of the misticoes were afterwards sunk, and many of the pirates were killed and wounded by the frigate's guns.
Lieutenant Tupper commanded the launch, and although severely wounded in three places, he stood up the whole time, and retained the command of her until he returned to the ship. The bullet, which proved fatal, entered his right breast, and was extracted from under the skin over the false ribs. He lingered until the 26th June, when he breathed his last, in a state of delirium, on board the Sybille, at Malta, where his remains were interred, and a monument was erected to his memory by his captain and messmates. In person he was rather above the middle height, with a pleasing and intelligent countenance; and when his brother Charles and he were midshipmen together in the Victory, in the Baltic, they were designated on board as the handsome brothers.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'Early in 1826, he was at length promoted into the Seringapatam frigate; but Sir John Pechell, under whom he had previously served for a short time, prevailed upon the admiral to transfer him to his own ship, the Sybille, of 48 guns, "a crack frigate," in a high state of discipline, the crew of which was remarkable for its skill in gunnery', 'Two of the misticoes were afterwards sunk, and many of the pirates were killed and wounded by the frigate's guns', 'In person he was rather above the middle height, with a pleasing and intelligent countenance; and when his brother Charles and he were midshipmen together in the Victory, in the Baltic, they were designated on board as the handsome brothers', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["Early in 1826, he was at length promoted into the Seringapatam frigate; but Sir John Pechell, under whom he had previously served for a short time, prevailed upon the admiral to transfer him to his own ship, the Sybille, of 48 guns, \"a crack frigate,\" in a high state of discipline, the crew of which was remarkable for its skill in gunnery", "Two of the misticoes were afterwards sunk, and many of the pirates were killed and wounded by the frigate's guns", "In person he was rather above the middle height, with a pleasing and intelligent countenance; and when his brother Charles and he were midshipmen together in the Victory, in the Baltic, they were designated on board as the handsome brothers"], 2]
|
{"Title": ["The Life and Correspondence of Sir Isaac Brock"], "Author": ["Ferdinand Brock Tupper"], "gd-path": "144/14428.txt"}
|
All
|
<collie.constraints.All object at 0x168e12f80>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 45
|
ccnews_c14
|
An impression of the encounter between the Milky Way galaxy and the smaller Sausage galaxy about 8 billion to 10 billion years ago. The record of this ancient encounter is still preserved in the velocities and chemistry of the stars. Credit: V. Belokurov (Cambridge, UK); Based on image by ESO/Juan Carlos Muñoz An international team of astronomers has discovered an ancient and dramatic head-on collision between the Milky Way and a smaller object, dubbed the "Sausage" galaxy. The cosmic crash was a defining event in the early history of the Milky Way and reshaped the structure of our galaxy, fashioning both its inner bulge and its outer halo, the astronomers report in a series of new papers.
The astronomers propose that around 8 billion to 10 billion years ago, an unknown dwarf galaxy smashed into our own Milky Way. The dwarf did not survive the impact: It quickly fell apart, and the wreckage is now all around us.
"The collision ripped the dwarf to shreds, leaving its stars moving in very radial orbits" that are long and narrow like needles, said Vasily Belokurov of the University of Cambridge and the Center for Computational Astrophysics at the Flatiron Institute in New York City. The stars' paths take them "very close to the centre of our galaxy. This is a telltale sign that the dwarf galaxy came in on a really eccentric orbit and its fate was sealed."
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'The cosmic crash was a defining event in the early history of the Milky Way and reshaped the structure of our galaxy, fashioning both its inner bulge and its outer halo, the astronomers report in a series of new papers', 'The dwarf did not survive the impact: It quickly fell apart, and the wreckage is now all around us', 'This is a telltale sign that the dwarf galaxy came in on a really eccentric orbit and its fate was sealed."', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["The cosmic crash was a defining event in the early history of the Milky Way and reshaped the structure of our galaxy, fashioning both its inner bulge and its outer halo, the astronomers report in a series of new papers", "The dwarf did not survive the impact: It quickly fell apart, and the wreckage is now all around us", "This is a telltale sign that the dwarf galaxy came in on a really eccentric orbit and its fate was sealed.\""], 2]
|
{"index": 614533, "title": "The Gaia Sausage: The major collision that changed the Milky Way galaxy"}
|
All
|
<collie.constraints.All object at 0x169930130>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 46
|
wiki_c05
|
It contained parts of a truck refrigerator container that was used to bring the bodies.
|
Please generate a sentence:
1) with exactly 15 words;
2) with the 4th, 8th, 11th words to be 'of', 'container', 'used' respectively.
|
[15, ["of", "container", "used"]]
|
{"index": 3114289, "title": "Peru\u0107ac lake"}
|
All
|
<collie.constraints.All object at 0x169875690>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 47
|
wiki_c08
|
The National Strategic Plan is a reference document for all sectors, institutions and partners involved in the fight against HIV and AIDS. The National Strategic Plan goals include: Lowering the new infection rate by two thirds from an estimated 6,000 per year currently to 2,000; Halving the number of HIV-related deaths from 5,000 to 2,500 per year; and Ensuring that people living with HIV have the same opportunities as all others.
|
Please generate a paragraph with all sentences having the 1st word to be 'The'.
|
"The"
|
{"index": 2331354, "title": "HIV/AIDS in Rwanda"}
|
Constraint
|
Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(0))),
Relation(==),
Reduction(all)
)
|
''
| 48
|
wiki_c09
|
Lake Huron has suffered recently by the introduction of a variety of new invasive species, including zebra and quagga mussels, the spiny water flea, and round gobies. The demersal fish community of the lake was in a state of collapse by 2006, and a number of drastic changes have been observed in the zooplankton community of the lake. Chinook salmon catches have also been greatly reduced in recent years, and lake whitefish have become less abundant and are in poor condition. These recent changes may be attributable to the new exotic species.
|
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": 25845, "title": "Lake Huron"}
|
All
|
<collie.constraints.All object at 0x1694a4040>
|
(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)
))
| 49
|
guten_c04
|
"Now, Nelly, look here, I have found a real treasure--the nicest little dressmaker, just set up, and who works cheap.
|
Please generate a sentence with exactly 117 characters. Include whitespace into your character count.
|
117
|
{"Title": ["We and Our Neighbors\tor, The Records of an Unfashionable Street"], "Author": ["Harriet Beecher Stowe"], "gd-path": "486/48603.txt"}
|
Constraint
|
Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
)
|
''
| 50
|
guten_c09
|
"You are so different," said Leonore, "from what every one said. I never knew a man pay such nice compliments. That's the seventh I've heard you make."
|
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 'in'.
|
[3, "there", "to", "in"]
|
{"Title": ["The Honorable Peter Stirling and What People Thought of Him"], "Author": ["Paul Leicester Ford"], "gd-path": "145/14532.txt"}
|
All
|
<collie.constraints.All object at 0x169340d00>
|
(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)
))
| 51
|
wiki_c09
|
In some ancient Egyptian creation myths, Neith was identified as the mother of Ra and Apep. When she was identified as a water goddess, she was viewed as the mother of Sobek, the crocodile. It was because of this association with water, i.e. the Nile, that during pairing of deities she sometimes was considered the wife of Khnum and sometimes was associated with the source of the River Nile. In that cult center, she also was associated with the Nile Perch as well as being the goddess of the triad.
|
Please generate a paragraph:
1) with exactly 5 sentences;
2) not containing the word 'there';
3) not containing the word 'to';
4) not containing the word 'is'.
|
[5, "there", "to", "is"]
|
{"index": 46636, "title": "Neith"}
|
All
|
<collie.constraints.All object at 0x1693fff40>
|
(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)
))
| 52
|
ccnews_c10
|
At the same time, we classify different Water and Wastewater Treatment Chemicals based on their definitions. Upstream raw materials, equipment and downstream consumers analysis is also carried out. What is more, the Water and Wastewater Treatment Chemicals industry development trends and marketing channels are analyzed.
|
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]
|
{"index": 340766, "title": "Global Water and Wastewater Treatment Chemicals Market 2017 Share, Trend, Segmentation and Forecast to 2022"}
|
All
|
<collie.constraints.All object at 0x1696b87c0>
|
(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)
))
| 53
|
guten_c14
|
O Star-eyed Science! hast thou wandered there, To waft us home the message of despair? Pleasures of Hope. T. CAMPBELL.
One science only will one genius fit, So vast is art, so narrow human wit. Essay on Criticism, Pt. I. A. POPE.
By the glare of false science betrayed, That leads to bewilder, and dazzles to blind. The Hermit. J. BEATTIE.
I value science--none can prize it more, It gives ten thousand motives to adore: Be it religious, as it ought to be, The heart it humbles, and it bows the knee. The Microcosm: Christian Science. A. COLES.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'T. CAMPBELL', 'A. POPE', 'J. BEATTIE', 'A. COLES', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["T. CAMPBELL", "A. POPE", "J. BEATTIE", "A. COLES"], 2]
|
{"Title": ["The World's Best Poetry, Volume 10\tPoetical Quotations"], "Author": ["Various"], "gd-path": "129/12925.txt"}
|
All
|
<collie.constraints.All object at 0x168e11a20>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 54
|
guten_c09
|
He had the life-belt almost on, but he was not quick enough to finish. His brother was upon him. There was a quick desperate struggle on that pitching, rolling, wave-washed deck.
|
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 'and'.
|
[3, "be", "this", "and"]
|
{"Title": ["Mayflower (Flor de mayo)\tA Tale of the Valencian Seashore"], "Author": ["Vicente Blasco Ib\u00e1\u00f1ez"], "gd-path": "295/29577.txt"}
|
All
|
<collie.constraints.All object at 0x169306680>
|
(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)
))
| 55
|
english_c02
|
infinitesimals
|
Please generate a word:
1) with exactly 14 characters;
2) with the 4th, 8th, 11th characters to be 'i', 'e', 'm' respectively.
|
[14, ["i", "e", "m"]]
|
{}
|
All
|
<collie.constraints.All object at 0x16959d8a0>
|
(Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 56
|
english_c01
|
historiographic
|
Please generate a word with at least 15 characters.
|
[15]
|
{}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
)
|
''
| 57
|
wiki_c05
|
It includes the whole of the former Chester-le-Street district and the eastern part of the former Derwentside district.
|
Please generate a sentence:
1) with exactly 18 words;
2) with the 4th, 8th, 11th words to be 'whole', 'Chester-le-Street', 'the' respectively.
|
[18, ["whole", "Chester-le-Street", "the"]]
|
{"index": 497536, "title": "North Durham (UK Parliament constituency)"}
|
All
|
<collie.constraints.All object at 0x169832fb0>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 58
|
ccnews_c05
|
Ireland Manager, Noel McNamara says his players are looking forward to the challenge.
|
Please generate a sentence:
1) with exactly 13 words;
2) with the 4th, 8th, 11th words to be 'McNamara', 'are', 'to' respectively.
|
[13, ["McNamara", "are", "to"]]
|
{"index": 479813, "title": "Wednesday Lunchtime Sports Update"}
|
All
|
<collie.constraints.All object at 0x169246560>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 59
|
ccnews_c05
|
We can confirm they are mid-range that can become bestsellers for the coming year.
|
Please generate a sentence:
1) with exactly 14 words;
2) with the 4th, 8th, 11th words to be 'they', 'can', 'for' respectively.
|
[14, ["they", "can", "for"]]
|
{"index": 213490, "title": "Manual for Samsung Galaxy A8, Galaxy A8+ spotted online"}
|
All
|
<collie.constraints.All object at 0x16922f0a0>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 60
|
guten_c09
|
He looked at her keenly. "Do it now. I'll leave you."
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) not containing the word 'be';
3) not containing the word 'to';
4) not containing the word 'in'.
|
[3, "be", "to", "in"]
|
{"Title": ["Rest Harrow\tA Comedy of Resolution"], "Author": ["Maurice Henry Hewlett"], "gd-path": "084/08464.txt"}
|
All
|
<collie.constraints.All object at 0x1692e7a60>
|
(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)
))
| 61
|
wiki_c14
|
ASVDH was founded in El Aaiun on May 7, 2005 by Sahrawi activists, including its president Brahim Dahane (a former prisoner of conscience). Although the association has complied with the Moroccan Law of Public Associations, it has been refused permission to operate by the Moroccan authorities and operates illegally with limited means. Its activities consist of researching and recording abuses by interviewing alleged victims of persecution and posting documentation (including photographs) of demonstrations, police interventions and torture on the Internet.
ASVDH has been outspoken in its defense of jailed Sahrawi human-rights and independence activists, such as Aminatou Haidar and Ali Salem Tamek. They were arrested during the Second Sahrawi Intifada, an activist term for May 2005 anti-occupation protests in El Aaiun.
As a result of this, the organization has been the subject of harassment and police action. President Brahim Dahane was detained on October 30, 2005, and charged with "belonging to an illegal organization" (ASVDH). The charge was condemned by Amnesty International and other international human-rights organizations, which campaigned for Dahane's release. As part of a general royal pardon, Dahane and other members of ASVDH were freed on April 22, 2006.
ASVDH applied for government recognition in 2006, and the following year a court ruled that the organization needed to be recognized by the government. It received government recognition in 2015, but Moroccan authorities continue to interfere with ASVDH's monitoring of human-rights abuses. The Moroccan government has called independence movements such as ASVDH a threat to regional security. The organization's work has been cited by Amnesty International, Human Rights Watch, the House Committee on Foreign Affairs and the Senate Committee on Foreign Relations.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'Its activities consist of researching and recording abuses by interviewing alleged victims of persecution and posting documentation (including photographs) of demonstrations, police interventions and torture on the Internet', 'They were arrested during the Second Sahrawi Intifada, an activist term for May 2005 anti-occupation protests in El Aaiun', 'As part of a general royal pardon, Dahane and other members of ASVDH were freed on April 22, 2006', 'The organization's work has been cited by Amnesty International, Human Rights Watch, the House Committee on Foreign Affairs and the Senate Committee on Foreign Relations', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["Its activities consist of researching and recording abuses by interviewing alleged victims of persecution and posting documentation (including photographs) of demonstrations, police interventions and torture on the Internet", "They were arrested during the Second Sahrawi Intifada, an activist term for May 2005 anti-occupation protests in El Aaiun", "As part of a general royal pardon, Dahane and other members of ASVDH were freed on April 22, 2006", "The organization's work has been cited by Amnesty International, Human Rights Watch, the House Committee on Foreign Affairs and the Senate Committee on Foreign Relations"], 2]
|
{"index": 1049224, "title": "Sahrawi Association of Victims of Grave Human Rights Violations Committed by the Moroccan State"}
|
All
|
<collie.constraints.All object at 0x168ded9c0>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 62
|
wiki_c09
|
"Thumatha fuscescens". Lepidoptera Barcode of Life. With images.
|
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 'and'.
|
[3, "be", "this", "and"]
|
{"index": 4020842, "title": "Thumatha fuscescens"}
|
All
|
<collie.constraints.All object at 0x16944e5c0>
|
(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)
))
| 63
|
wiki_c14
|
Hamilton was described throughout the 20th century as a desirable, family-oriented suburb and was known for its main street corridor on Harford Road. After another housing boom following World War II, most of the space available for residential stock had been developed. The last major housing push in Hamilton was the construction of apartment complexes near Northern Parkway and Perring Parkway, which occurred during the late 1960s and 1970s.
From the 1940s to the 1950s, Baltimore's city planners discontinued the electric streetcar system in favor of gasoline-powered automobiles. General Motors, Standard Oil, and Firestone Tire influenced the conversion of the city's streetcars to buses, and Hamilton's rail service on Harford Road was discontinued on June 19, 1956. The conversion of Harford Road exclusively to automobiles impacted Hamilton's main street economy. Over time, retailers relocated elsewhere to accommodate shoppers at strip malls and later at shopping malls.
Hamilton's characteristics changed during the latter half of the 20th century. The area became more of a pass-through community than a destination as its main street economy declined. White residents began migrating away from Baltimore and from Hamilton as suburban communities emerged in surrounding counties. Following the racial desegregation of Baltimore's public schools in the 1950s and 1960s, the majority of public school students in the city and in the Hamilton area shifted from White to Black. Generally speaking, Hamilton evolved into a more mixed-race area after Baltimore's population peaked in the 1950s.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'The last major housing push in Hamilton was the construction of apartment complexes near Northern Parkway and Perring Parkway, which occurred during the late 1960s and 1970s', 'Over time, retailers relocated elsewhere to accommodate shoppers at strip malls and later at shopping malls', 'Generally speaking, Hamilton evolved into a more mixed-race area after Baltimore's population peaked in the 1950s', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["The last major housing push in Hamilton was the construction of apartment complexes near Northern Parkway and Perring Parkway, which occurred during the late 1960s and 1970s", "Over time, retailers relocated elsewhere to accommodate shoppers at strip malls and later at shopping malls", "Generally speaking, Hamilton evolved into a more mixed-race area after Baltimore's population peaked in the 1950s"], 2]
|
{"index": 986741, "title": "Hamilton Hills, Baltimore"}
|
All
|
<collie.constraints.All object at 0x168e10ca0>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 64
|
guten_c04
|
It shows you that after all you are not such a fine fellow as you thought yourself.
|
Please generate a sentence with exactly 83 characters. Include whitespace into your character count.
|
83
|
{"Title": ["Phoebe, Junior"], "Author": ["Mrs. (Margaret) Oliphant"], "gd-path": "286/28629.txt"}
|
Constraint
|
Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
)
|
''
| 65
|
guten_c10
|
With that he hits a frantic blow at the stone; for the bear is a good boxer. He sends the stone swinging through the air again, and farther than before. Again the stone swings back and gives the bear a hard whack.
|
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": ["The Wonders of the Jungle\tBook One"], "Author": ["Sarath Kumar Ghosh"], "gd-path": "248/24852.txt"}
|
All
|
<collie.constraints.All object at 0x16939bb80>
|
(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)
))
| 66
|
ccnews_c09
|
UFC 214 takes place July 29 in Anaheim, California at the Honda Center. In the main event, light heavyweight champ Daniel Cormier meets Jon Jones in their second meeting. Female featherweight star Cris Cyborg is also expected to appear on the card.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) not containing the word 'there';
3) not containing the word 'of';
4) not containing the word 'and'.
|
[3, "there", "of", "and"]
|
{"index": 218084, "title": "Doo-Ho Choi Injured, Out of UFC 214 Bout with Andre Fili"}
|
All
|
<collie.constraints.All object at 0x16965e200>
|
(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)
))
| 67
|
guten_c14
|
"Yes," cried Lady Marabout, firmly, forgetting every vestige of "duty," and every possibility of dear Adeliza's vengeance, "if you love him, I would, decidedly. When I married my dear Philip's father, he was what Cardonnel is, a cavalry man, as far off his family title then as Cardonnel is off his now."
"The more reason I should not imitate your imprudence, my dear aunt; death might not carry off the intermediate heirs quite so courteously in this case! No, I refused Major Cardonnel, and I did rightly; I should have repented it by now had I accepted him. There is nothing more silly than to be led away by romance. You De Boncoeurs are romantic, you know; we Valletorts are happily free from the weakness. I am very tired, aunt, so good night."
The Hon. Val went, the waxlight she carried shedding a paler shade on her handsome face, whiter and more set than usual, but held more proudly, as if it already wore the Doncaster coronet; and Lady Marabout sighed as she rang for her maid.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'When I married my dear Philip's father, he was what Cardonnel is, a cavalry man, as far off his family title then as Cardonnel is off his now."', 'I am very tired, aunt, so good night."', 'Val went, the waxlight she carried shedding a paler shade on her handsome face, whiter and more set than usual, but held more proudly, as if it already wore the Doncaster coronet; and Lady Marabout sighed as she rang for her maid', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["When I married my dear Philip's father, he was what Cardonnel is, a cavalry man, as far off his family title then as Cardonnel is off his now.\"", "I am very tired, aunt, so good night.\"", "Val went, the waxlight she carried shedding a paler shade on her handsome face, whiter and more set than usual, but held more proudly, as if it already wore the Doncaster coronet; and Lady Marabout sighed as she rang for her maid"], 2]
|
{"Title": ["Cecil Castlemaine's Gage, Lady Marabout's Troubles, and Other Stories"], "Author": ["Ouida"], "gd-path": "371/37178.txt"}
|
All
|
<collie.constraints.All object at 0x168e39a80>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 68
|
wiki_c10
|
Steve Trash was given the Environmental Educator of the Year Award by EEAA. His Trash and Recycle Show won the statewide Outstanding Project Award presented by RC&D in the year 2007. His video “Kids Making Better Choices” won the award in 2009 as well. His Green Magic Set won an American Specialty Retailers Association Award in 2009.
|
Please generate a paragraph:
1) with exactly 4 sentences;
2) with all sentences having at least 13 words;
3) with all sentences having at most 19 words.
|
[4, 13, 19]
|
{"index": 4479561, "title": "Steve Trash"}
|
All
|
<collie.constraints.All object at 0x1694b5780>
|
(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)
))
| 69
|
guten_c14
|
The Howe and Webster farms adjoined, lying on a sun-flooded, gently sloping New Hampshire hillside. Between them loomed The Wall. It was not a high wall. On the contrary, its formidableness was the result of tradition rather than of fact. For more than a century it had been an estranging barrier to neighborliness, to courtesy, to broad-mindedness; a barrier to friendship, to Christian charity, to peace.
The builder of the rambling line of gray stone had long since passed away, and had he not acquired a warped importance with the years, his memory would doubtless have perished with him. All unwittingly, alas, he had become a celebrity. His was the fame of omission, however, rather than of commission. Had he, like artist or sculptor, but affixed his signature to his handiwork, then might he have sunk serenely into oblivion, "unwept, unhonored, and unsung." But unfortunately he was a modest creature. Instead, he had stepped nameless into the silence of the Hereafter, leaving to those who came after him not only the sinister boundary his hands had reared, but also a feud that had seethed hotly for generations.
If within the narrow confines of his last resting place he had ever been conscious of the dissension for which he was responsible and had been haunted by a desire to utter the magic word he had neglected to speak in life, he at least gave no sign. His lips remained sealed in death, and his spirit was never seen to walk abroad. Possibly he retired into his shroud with this finality because he never found it imperative, as did Hamlet's ghost, to admonish posterity to remember him.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'For more than a century it had been an estranging barrier to neighborliness, to courtesy, to broad-mindedness; a barrier to friendship, to Christian charity, to peace', 'Instead, he had stepped nameless into the silence of the Hereafter, leaving to those who came after him not only the sinister boundary his hands had reared, but also a feud that had seethed hotly for generations', 'Possibly he retired into his shroud with this finality because he never found it imperative, as did Hamlet's ghost, to admonish posterity to remember him', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["For more than a century it had been an estranging barrier to neighborliness, to courtesy, to broad-mindedness; a barrier to friendship, to Christian charity, to peace", "Instead, he had stepped nameless into the silence of the Hereafter, leaving to those who came after him not only the sinister boundary his hands had reared, but also a feud that had seethed hotly for generations", "Possibly he retired into his shroud with this finality because he never found it imperative, as did Hamlet's ghost, to admonish posterity to remember him"], 2]
|
{"Title": ["The Wall Between"], "Author": ["Sara Ware Bassett"], "gd-path": "274/27471.txt"}
|
All
|
<collie.constraints.All object at 0x168e3a800>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 70
|
ccnews_c10
|
More than 80 percent of public school teachers are white, while half of all students are people of color. Some teachers may never have directly talked about race or racism, particularly with younger children. Brooks suggests they start by making an "identity chart". This is a way to find commonalities as well as celebrate differences.
|
Please generate a paragraph:
1) with exactly 4 sentences;
2) with all sentences having at least 11 words;
3) with all sentences having at most 19 words.
|
[4, 11, 19]
|
{"index": 484741, "title": "Resources For Educators To Use In The Wake Of Charlottesville"}
|
All
|
<collie.constraints.All object at 0x16969fc40>
|
(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)
))
| 71
|
guten_c10
|
"'Doubtless it was another man,' I assented; and the subject was never afterward mentioned between us. But I had in my pocket a photograph of Barting, which had been inclosed in the letter from his widow. It had been taken a week before his death, and was without a mustache."
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 15 words;
3) with all sentences having at most 20 words.
|
[3, 15, 20]
|
{"Title": ["Present at a Hanging and Other Ghost Stories"], "Author": ["Ambrose Bierce"], "gd-path": "043/04387.txt"}
|
All
|
<collie.constraints.All object at 0x1693990c0>
|
(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)
))
| 72
|
wiki_c04
|
Local chapters may have regular meetings, provide first-aid classes, and engage in public relations events.
|
Please generate a sentence with exactly 107 characters. Include whitespace into your character count.
|
107
|
{"index": 5647310, "title": "Cycling Without Age"}
|
Constraint
|
Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
)
|
''
| 73
|
wiki_c12
|
The school teaches around 500 pupils aged 11 to 18. As a selective school, prospective pupils must pass an entrance exam to be offered a place, although the school accepts pupils from a wide ability range. The school charges £4,324 per term, with three terms per academic year, as of 2021/2022. There is an associated junior school for ages 2½ to 11 on adjoining sites at the nearby Acorn House (pre-school), in King's Road, and Beechwood (primary school), in Queen's Road.
|
Please generate a paragraph:
1) with exactly 4 sentences;
2) with sentences having the last word to be '18', 'range', '2021/2022', 'Road', respectively.
|
[4, ["18", "range", "2021/2022", "Road"]]
|
{"index": 846709, "title": "Elizabeth College, Guernsey"}
|
All
|
<collie.constraints.All object at 0x169554f40>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
))
| 74
|
ccnews_c12
|
Smart technology and smart spaces are central to the design and function of the building to make patientvisits as smooth and pleasant as possible. For example, patients can complete their paperwork remotelyand securely before their visit, on their mobile phone or online. Upon arrival, they will be offered apersonalized “smartband” that provides access to the building and receive information about their visit andstep-by-step directions to their room through the NYP app. Each patient’s visit has a clear, planned flowthat begins and ends in the same space for patients having a procedure, a private prep and recovery roomthat serves as “home base” for them and their companions throughout their visit.
|
Please generate a paragraph:
1) with exactly 4 sentences;
2) with sentences having the last word to be 'possible', 'online', 'app', 'visit', respectively.
|
[4, ["possible", "online", "app", "visit"]]
|
{"index": 612575, "title": "Newyork-Presbyterian Opens a World-Class Center for Ambulatory Care: Newyork-Presbyterian David H. Koch Center"}
|
All
|
<collie.constraints.All object at 0x16970f280>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
))
| 75
|
ccnews_c14
|
Golden State Warriors trade rumors suggest that the team could make a deal before the NBA trade deadline on February 8. Several reports by The Athletic have advertised that JaVale McGee is available and that the “fan-favorite” could be playing his final minutes for the Warriors this week. A new report by Phil Taylor touches on the subject as well, quoting McGee on how he is preparing for games, despite knowing that his name has been coming up in various NBA trade rumors.
The immediate reaction to this story by some Warriors fans is going to be a look of surprise. Why would the Warriors trade McGee and what would the team be looking for in return? It all boils down to money and playing time. Marcus Thompson III of The Athletic cited that McGee has been unhappy with his “floor time and his minimum salary,” possibly bringing some discontent to a roster that is looking to win its third NBA title in just four seasons.
JaVale McGee makes just about $2.2 million this season and it is the final year of his contract. It is the second one-year deal that he has signed with the Golden State Warriors. Last year, he played in 77 games for the team, averaging 9.6 minutes, 6.1 points, and 3.2 rebounds a game. McGee saw similar action in the postseason but was never a key contributor off the bench. He was used more often in a mop-up role, which isn’t where most players want to be.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'A new report by Phil Taylor touches on the subject as well, quoting McGee on how he is preparing for games, despite knowing that his name has been coming up in various NBA trade rumors', 'Marcus Thompson III of The Athletic cited that McGee has been unhappy with his “floor time and his minimum salary,” possibly bringing some discontent to a roster that is looking to win its third NBA title in just four seasons', 'He was used more often in a mop-up role, which isn’t where most players want to be', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["A new report by Phil Taylor touches on the subject as well, quoting McGee on how he is preparing for games, despite knowing that his name has been coming up in various NBA trade rumors", "Marcus Thompson III of The Athletic cited that McGee has been unhappy with his \u201cfloor time and his minimum salary,\u201d possibly bringing some discontent to a roster that is looking to win its third NBA title in just four seasons", "He was used more often in a mop-up role, which isn\u2019t where most players want to be"], 2]
|
{"index": 297781, "title": "Golden State Warriors Trade Rumors: Team Looking To Deal Big Man"}
|
All
|
<collie.constraints.All object at 0x1699075b0>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 76
|
ccnews_c09
|
The dog days of summer are known for being among the hottest of the season. Such days conjure up listless floating in the pool, scrambling to find shade and, of course, dogs panting even though they haven't been running around. It's too hot for running, after all.
|
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": 495935, "title": "The real meaning of the 'dog days of summer'"}
|
All
|
<collie.constraints.All object at 0x16964cd60>
|
(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)
))
| 77
|
guten_c05
|
He allows a pension of three hundred a-year to Lord S----.
|
Please generate a sentence:
1) with exactly 13 words;
2) with the 4th, 8th, 11th words to be 'pension', 'a-year', 'S' respectively.
|
[13, ["pension", "a-year", "S"]]
|
{"Title": ["Blackwood's Edinburgh Magazine, Vol. 71, No. 438, April 1852"], "Author": ["Various"], "gd-path": "481/48102.txt"}
|
All
|
<collie.constraints.All object at 0x169789720>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 78
|
guten_c09
|
"But what? Come, speak out. Ah! this portrait. Whose is it?"
|
Please generate a paragraph:
1) with exactly 5 sentences;
2) not containing the word 'be';
3) not containing the word 'to';
4) not containing the word 'in'.
|
[5, "be", "to", "in"]
|
{"Title": ["Artist and Model (The Divorced Princess)"], "Author": ["Ren\u00e9 de Pont-Jest"], "gd-path": "357/35723.txt"}
|
All
|
<collie.constraints.All object at 0x1692c7fa0>
|
(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)
))
| 79
|
guten_c12
|
The reference to the history of METHUSELAH with which this paper began was not without a purpose. It was to suggest the inquiry whether or not the vim which prolonged his days would have sufficed to bring him through two courses of Boyhood. It is not unusual to hear grown people talk of "living their youthful days over again;" but the examples of those who have gone through this ordeal are very rare. The amount of wear and tear, the expenditure of vital force, involved in the transit from infancy to manhood cannot be estimated. The abrasions of later life do not compare with the rubs of Boyhood, because none of the aids of experience and philosophy are attainable by the tyro, who lives upon his inherent vis vitae, as his kinsman in the frozen zone subsists upon his own fat during long intervals of torpidity.
|
Please generate a paragraph:
1) with exactly 5 sentences;
2) with sentences having the last word to be 'purpose', 'Boyhood', 'rare', 'estimated', 'torpidity', respectively.
|
[5, ["purpose", "Boyhood", "rare", "estimated", "torpidity"]]
|
{"Title": ["Punchinello, Volume 1, No. 04, April 23, 1870"], "Author": ["Various"], "gd-path": "098/09898.txt"}
|
All
|
<collie.constraints.All object at 0x1693fe140>
|
(Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
))
| 80
|
wiki_c04
|
Reemtsma, Jan Philipp, "Der Liebe Maskentanz": Aufsätze zum Werk Christoph Martin Wielands, 1999, .
|
Please generate a sentence with exactly 99 characters. Include whitespace into your character count.
|
99
|
{"index": 937880, "title": "Weimar Classicism"}
|
Constraint
|
Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
)
|
''
| 81
|
guten_c10
|
But the horses of Aurora, flying and flaming through the morning skies, could not have held the man back. A madman--delirious with joy--he swept through the hall and flung the door open. Dr. Armstrong ran after him to give him his hat, but Avery paid no attention to the dentist.
|
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 19 words.
|
[3, 17, 19]
|
{"Title": ["Avery"], "Author": ["Elizabeth Stuart Phelps"], "gd-path": "333/33393.txt"}
|
All
|
<collie.constraints.All object at 0x1693b3f40>
|
(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)
))
| 82
|
guten_c05
|
From Turner to James Northcote is a long step, but they were on the same footing as Royal Academicians.
|
Please generate a sentence:
1) with exactly 19 words;
2) with the 4th, 8th, 11th words to be 'James', 'long', 'they' respectively.
|
[19, ["James", "long", "they"]]
|
{"Title": ["The Dawn of the XIXth Century in England\tA social sketch of the times"], "Author": ["John Ashton"], "gd-path": "494/49406.txt"}
|
All
|
<collie.constraints.All object at 0x1697ab880>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 83
|
ccnews_c05
|
Millennials and Generation X-ers were almost equally likely to admit financial mistakes (78.9% to 79.1% respectively).
|
Please generate a sentence:
1) with exactly 16 words;
2) with the 4th, 8th, 11th words to be 'X-ers', 'likely', 'financial' respectively.
|
[16, ["X-ers", "likely", "financial"]]
|
{"index": 291403, "title": "Americans share their financial regrets | Survey"}
|
All
|
<collie.constraints.All object at 0x169211c60>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 84
|
wiki_c04
|
Such clubs were soon established by cabinet councillor Yoshio Kodama and Ryoichi Sasakawa.
|
Please generate a sentence with exactly 90 characters. Include whitespace into your character count.
|
90
|
{"index": 660558, "title": "Eugenics in Japan"}
|
Constraint
|
Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
)
|
''
| 85
|
ccnews_c10
|
This week brings a difficult stretch of three games in four nights, starting Tuesday against the Pacific Division-leading Kings. The Devils are then at Montreal on Thursday night against the resurgent Canadiens with a healthy Carey Price in net. Finally, the Devils return to The Rock on Friday against the Stars.
|
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": 428456, "title": "Devils Daily Faceoff: Three storylines for Dec. 11"}
|
All
|
<collie.constraints.All object at 0x1696b8340>
|
(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)
))
| 86
|
wiki_c06a
|
Bull Lake has also been known as Green Lake and had a post office branch there in the years 1903 to 1912.
|
Please generate a sentence:
1) with at least 22 words;
2) with all words having at most 6 characters.
|
[22, 6]
|
{"index": 2906089, "title": "Bull Lake, New Brunswick"}
|
All
|
<collie.constraints.All object at 0x1698c4070>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 87
|
ccnews_c05
|
Equifax has a 12 month low of $89.59 and a 12 month high of $147.02.
|
Please generate a sentence:
1) with exactly 15 words;
2) with the 4th, 8th, 11th words to be '12', '89.59', '12' respectively.
|
[15, ["12", "89.59", "12"]]
|
{"index": 655816, "title": "Equifax, Inc. (EFX) Given a $127.00 Price Target at Wells Fargo & Company"}
|
All
|
<collie.constraints.All object at 0x169244880>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 88
|
guten_c06a
|
Beneath its coat of tan, Grannis's face flushed; but he did not answer.
|
Please generate a sentence:
1) with at least 14 words;
2) with all words having at most 7 characters.
|
[14, 7]
|
{"Title": ["Ben Blair\tThe Story of a Plainsman"], "Author": ["Will Lillibridge"], "gd-path": "178/17844.txt"}
|
All
|
<collie.constraints.All object at 0x1697c9060>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 89
|
wiki_c06a
|
Smith went on to pass the Suffolk County bar in Boston in May 1973.
|
Please generate a sentence:
1) with at least 14 words;
2) with all words having at most 7 characters.
|
[14, 7]
|
{"index": 4409876, "title": "George Edwin Smith"}
|
All
|
<collie.constraints.All object at 0x1698b3c70>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
))
| 90
|
guten_c04
|
But that dear old fellow never did things quite like other people; perhaps that was why I was so fond of him.
|
Please generate a sentence with exactly 109 characters. Include whitespace into your character count.
|
109
|
{"Title": ["More Tales of the Birds"], "Author": ["W. Warde (William Warde) Fowler"], "gd-path": "502/50276.txt"}
|
Constraint
|
Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
)
|
''
| 91
|
wiki_c10
|
Production on the pilot took place from March 15 to March 31, 2017, in Atlanta, Georgia. Filming moved to Vancouver, British Columbia after being picked up to series. Production began on August 9, 2017, and concluded on January 12, 2018.
|
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 16 words.
|
[3, 12, 16]
|
{"index": 5282405, "title": "Life Sentence (TV series)"}
|
All
|
<collie.constraints.All object at 0x1694d2d40>
|
(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)
))
| 92
|
wiki_c10
|
Ushasie Chakraborty is an Indian actress and academic who works in Bengali language films. She has played the role of Satyabati in Anjan Dutt's film adaptations on Byomkesh Bakshi. She currently plays the role of June Guha in the Bengali television show Sreemoyee.
|
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 16 words.
|
[3, 14, 16]
|
{"index": 3839547, "title": "Ushasie Chakraborty"}
|
All
|
<collie.constraints.All object at 0x169509300>
|
(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)
))
| 93
|
wiki_c14
|
Visual Intercept is a Microsoft Windows based software defect tracking system produced by Elsinore Technologies Inc. Visual Intercept was actively sold from 1995 until early 2006 when it was integrated as a single solution in the broader IssueNet issue management system, also produced by Elsinore Technologies Inc.
1.x Intercept 1.0 was released in 1996. In 1998 the product line was expanded to include Intercept Relay for beta testers, Intercept SDK for integrations, and Intercept Web for Web Access. One of the distinguishing features of early versions of Intercept was its integration to Microsoft Visual SourceSafe.
Version 2.0 released in 2000 provided major and minor enhancements to all products in the Intercept product line. In addition to enhancements to existing capabilities Intercept 2.0 introduced integration to Visual Studio and VBA (Visual Basic for Applications) integration for implementing custom workflow rules. In the 2.0 time frame Elsinore Technologies also released Visual Intercept Project and integration to the products in the Microsoft Office suite. Visual Intercept Project was designed to help project managers dynamically update project plans by integrating them with the real time issue management data captured and tracked in Visual Intercept.
In 2002 Elsinore Technologies released Visual Intercept 3.0. The 3.0 release focused on updating the functionality of Visual Intercept Web and Web Relay to match the desktop suite and integrations to Visual Studio and Microsoft Office. After the initial release of version 3.0, Elsinore continued to release major enhancements to the 3.0 version in services releases as it completed its IssueNet platform which would serve as the software platform for version 4.0.
|
Please generate a passage:
1) with paragraphs having the last sentence to be 'Visual Intercept was actively sold from 1995 until early 2006 when it was integrated as a single solution in the broader IssueNet issue management system, also produced by Elsinore Technologies Inc', 'One of the distinguishing features of early versions of Intercept was its integration to Microsoft Visual SourceSafe', 'Visual Intercept Project was designed to help project managers dynamically update project plans by integrating them with the real time issue management data captured and tracked in Visual Intercept', 'After the initial release of version 3.0, Elsinore continued to release major enhancements to the 3.0 version in services releases as it completed its IssueNet platform which would serve as the software platform for version 4.0', respectively;
2) with all paragraphs having at least 2 sentences.
|
[["Visual Intercept was actively sold from 1995 until early 2006 when it was integrated as a single solution in the broader IssueNet issue management system, also produced by Elsinore Technologies Inc", "One of the distinguishing features of early versions of Intercept was its integration to Microsoft Visual SourceSafe", "Visual Intercept Project was designed to help project managers dynamically update project plans by integrating them with the real time issue management data captured and tracked in Visual Intercept", "After the initial release of version 3.0, Elsinore continued to release major enhancements to the 3.0 version in services releases as it completed its IssueNet platform which would serve as the software platform for version 4.0"], 2]
|
{"index": 1633114, "title": "Visual Intercept"}
|
All
|
<collie.constraints.All object at 0x168e11480>
|
(Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
))
| 94
|
wiki_c09
|
In 2015, van Wynsberghe and Noel Sharkey established the Foundation for Responsible Robotics (FRR), a not-for-profit, non-governmental organization that advocates for the ethical design and production of robots. In founding the FRR, van Wynsberghe and Sharkey cited the urgent need for a greater level of accountability and attention to ethics in the design of robots, especially those that complete jobs through automation. She currently serves as the president of the foundation, organizing multi-stakeholder workshops; writing and disseminating consultation documents and reports; establishing public-private partnerships; and addressing legislative bodies within the European Union.
|
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": 5600626, "title": "Aimee Van Wynsberghe"}
|
All
|
<collie.constraints.All object at 0x16944d240>
|
(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)
))
| 95
|
ccnews_c10
|
The Great Bell has chimed nearly every hour for the past 157 years. It has had previous breaks in service for maintenance and conservation in 2007, in 1983-1985 and in 1976. The 13.7-ton bell, which was forged in the 1850s, is accompanied by smaller chimes that ring out each quarter hour.
|
Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 13 words;
3) with all sentences having at most 20 words.
|
[3, 13, 20]
|
{"index": 652029, "title": "Big Ben's Big Bong Is About To Go Silent"}
|
All
|
<collie.constraints.All object at 0x16969c1c0>
|
(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)
))
| 96
|
wiki_c09
|
Sylvester awakes on Christmas morning to find presents under the tree, but is disappointed when his gift is just a rubber mouse. When he hears singing coming from what appears to be a gift-wrapped birdcage and sees that it is labeled for Granny, he looks inside and sees Tweety. Deciding he wants Tweety as his present, he switches the tags on the gifts just as Granny comes downstairs.
|
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"]
|
{"index": 1256302, "title": "Gift Wrapped (film)"}
|
All
|
<collie.constraints.All object at 0x169436620>
|
(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)
))
| 97
|
english_c01
|
negotiator
|
Please generate a word with at least 10 characters.
|
[10]
|
{}
|
Constraint
|
Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
)
|
''
| 98
|
wiki_c05
|
Dombrowski soon caught up to the remnants of the breakaway group, before moving past them with fresher legs.
|
Please generate a sentence:
1) with exactly 18 words;
2) with the 4th, 8th, 11th words to be 'up', 'of', 'group' respectively.
|
[18, ["up", "of", "group"]]
|
{"index": 4073244, "title": "2013 Tour de Suisse"}
|
All
|
<collie.constraints.All object at 0x169894610>
|
(Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
))
| 99
|
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