constraint_type stringclasses 33
values | example stringlengths 10 13.4k | prompt stringlengths 51 1.36k | targets stringlengths 2 1.22k | metadata stringlengths 2 336 | constraint_class stringclasses 2
values | constraint_repr stringlengths 46 141 | constraint_callables stringclasses 10
values | question_id int64 0 1.87k |
|---|---|---|---|---|---|---|---|---|
guten_c14 | What does the officer say? "Dam! Dam! Dam! Mud and misery, flies and stench, Piggin' it here in a beastly trench, But what I mean, by Jove, you see, I like my men and they don't mind me, So, on the whole, I'd rather be Where I am."
What does the enemy say? "Kolossal Verdam! They told me, when the war began, The Brit... | Please generate a passage:
1) with paragraphs having the last sentence to be 'Mud and misery, flies and stench, Piggin' it here in a beastly trench, But what I mean, by Jove, you see, I like my men and they don't mind me, So, on the whole, I'd rather be Where I am."', 'it's straight ahead, Like a ram."', 'They tax me h... | [["Mud and misery, flies and stench, Piggin' it here in a beastly trench, But what I mean, by Jove, you see, I like my men and they don't mind me, So, on the whole, I'd rather be Where I am.\"", "it's straight ahead, Like a ram.\"", "They tax me here, they tax me there, Bread is dear and the cupboard bare, I'm bound to... | {"Title": ["The Guards Came Through, and Other Poems"], "Author": ["Arthur Conan Doyle"], "gd-path": "380/38071.txt"} | All | <collie.constraints.All object at 0x168e39840> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 400 |
ccnews_c05 | She’s been watching an anti-immigration backlash take hold in one western nation after another. | Please generate a sentence:
1) with exactly 16 words;
2) with the 4th, 8th, 11th words to be 'been', 'backlash', 'in' respectively. | [16, ["been", "backlash", "in"]] | {"index": 216435, "title": "Somali refugee in Milwaukee publishes book"} | All | <collie.constraints.All object at 0x16922dba0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 401 |
ccnews_c07 | It's really just more of a nuisance,” said Pediatric Nurse Practitioner Cherie Sexton. | Please generate a sentence containing the word 'Practitioner', 'really', 'more'. | ["Practitioner", "really", "more"] | {"index": 33167, "title": "Be on the lookout for head lice lurking in Halloween costumes - Toledo News Now, News, Weather, Sports, Toledo, OH"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 402 |
guten_c09 | * Lord Herbert. Burnet, vol. i. p. 29, in the Collect. Le Grand, vol iii. p. 28. Strype, vol. i. p. 93, with App. No. 23-24, etc. | Please generate a paragraph:
1) with exactly 9 sentences;
2) not containing the word 'there';
3) not containing the word 'this';
4) not containing the word 'is'. | [9, "there", "this", "is"] | {"Title": ["The History of England in Three Volumes, Vol.I., Part C.\tFrom Henry VII. to Mary"], "Author": ["David Hume"], "gd-path": "192/19213.txt"} | All | <collie.constraints.All object at 0x169304460> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(wo... | 403 |
wiki_c07 | He worked as a messenger and a handyman before starting small businesses including restaurants and interior decoration companies. | Please generate a sentence containing the word 'interior', 'a', 'decoration'. | ["interior", "a", "decoration"] | {"index": 3047035, "title": "Tsui Tsin-tong"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 404 |
wiki_c05 | Ljubinić is a village located in the municipality of Obrenovac, Belgrade, Serbia. | Please generate a sentence:
1) with exactly 12 words;
2) with the 4th, 8th, 11th words to be 'village', 'municipality', 'Belgrade' respectively. | [12, ["village", "municipality", "Belgrade"]] | {"index": 3602050, "title": "Ljubini\u0107"} | All | <collie.constraints.All object at 0x1698b02b0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 405 |
guten_c10 | Rub together in a mortar until smooth, two ounces of butter, two cloves of garlic and one teaspoonful of salt. Add a tablespoonful of lime juice and one-half a pint of melted butter. Beat until light and smooth, when it is ready to serve. | Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 11 words;
3) with all sentences having at most 20 words. | [3, 11, 20] | {"Title": ["Joe Tilden's Recipes for Epicures"], "Author": ["Joe Tilden"], "gd-path": "120/12069.txt"} | All | <collie.constraints.All object at 0x169398c40> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 406 |
wiki_c07 | Nana Yaw Edward Ofori-Kuragu is the member of parliament (MP) for the constituency. | Please generate a sentence containing the word 'Yaw', 'member', 'the'. | ["Yaw", "member", "the"] | {"index": 3443525, "title": "Bosome-Freho (Ghana parliament constituency)"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 407 |
guten_c05 | After making out a list of material, square up sides and ends exactly as in making any box. | Please generate a sentence:
1) with exactly 18 words;
2) with the 4th, 8th, 11th words to be 'a', 'square', 'and' respectively. | [18, ["a", "square", "and"]] | {"Title": ["Carpentry and Woodwork"], "Author": ["Edwin W. Foster"], "gd-path": "435/43574.txt"} | All | <collie.constraints.All object at 0x16978a980> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 408 |
ccnews_c06a | If you are long you stay long and add on dips. | Please generate a sentence:
1) with at least 11 words;
2) with all words having at most 4 characters. | [11, 4] | {"index": 474837, "title": "Ford - Rock Solid Is An Understatement"} | All | <collie.constraints.All object at 0x16929c5e0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 409 |
guten_c10 | When Rossetti introduced me, the manager greeted him with a “H’m! I thought you were alone.” This did not seem promising. Morris at that time was as proverbial for his exclusiveness as he afterwards became for his expansiveness. | 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 17 words. | [3, 11, 17] | {"Title": ["Old Familiar Faces"], "Author": ["Theodore Watts-Dunton"], "gd-path": "270/27025.txt"} | All | <collie.constraints.All object at 0x1693999c0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 410 |
ccnews_c07 | After announcing the updated death toll of 12 in the afternoon, Cmdr. | Please generate a sentence containing the word '12', 'the', 'Cmdr'. | ["12", "the", "Cmdr"] | {"index": 582812, "title": "Death toll rises to 12 in London apartment building inferno"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 411 |
wiki_c06a | The union began to expand in the 1970s and 1980s, with its first wave of new clubs. | Please generate a sentence:
1) with at least 17 words;
2) with all words having at most 6 characters. | [17, 6] | {"index": 2359769, "title": "Rugby Quebec"} | All | <collie.constraints.All object at 0x1698c56f0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 412 |
ccnews_c14 | “Dear Georges (Vous Petit Monstre)” begins with tick-tock percussion, followed by discordant mechanized synth effects that provide secretive resonance to the tune. When the guitars ramp up, the intensity of the melody increases, as does the psychic aura of Maxine’s wicked-sounding voice, a voice that descends to an imp... | Please generate a passage:
1) with paragraphs having the last sentence to be 'Harmonics from the synth mingle with Maxine’s severely tight sighing vocals, as the lyrics flow with a muscular hip-hop-like cadence', 'Maxine’s mesmerizing voice adds to the eccentricity of the music’s opaque density', 'This is another of my... | [["Harmonics from the synth mingle with Maxine\u2019s severely tight sighing vocals, as the lyrics flow with a muscular hip-hop-like cadence", "Maxine\u2019s mesmerizing voice adds to the eccentricity of the music\u2019s opaque density", "This is another of my personal favorites because there\u2019s a monster-like sono... | {"index": 704903, "title": "Music Review: \u201cWho Shot Bukowski?\u201d - Superb New Music From Jack Of None"} | All | <collie.constraints.All object at 0x169931e70> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 413 |
english_c03 | administratrix | Please generate a word:
1) with exactly 14 characters;
2) with the last character to be 'x'. | [14, "x"] | {} | All | <collie.constraints.All object at 0x1695e7040> | (Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position(-1)),
Relation(==),
Reduction(None)
)) | 414 |
wiki_c09 | The United Kingdom maintains a war reserve stock that has been criticized by the National Audit Office as being unnecessary. The Ministry of Defence typically does not dispose of old stock, creating a backlog of outdated material that has previously been retired. The NAO reported in June 2012 that the annual cost of ma... | Please generate a paragraph:
1) with exactly 3 sentences;
2) not containing the word 'there';
3) not containing the word 'to';
4) not containing the word 'is'. | [3, "there", "to", "is"] | {"index": 1015715, "title": "War reserve stock"} | All | <collie.constraints.All object at 0x1694379a0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(wo... | 415 |
wiki_c04 | Near Aymestrey it passes through Puckhouse Wood, reputedly haunted by pucks or wood sprites. | Please generate a sentence with exactly 92 characters. Include whitespace into your character count. | 92 | {"index": 1907719, "title": "Mortimer Trail"} | Constraint | Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
) | '' | 416 |
guten_c09 | "Blind men are not particularly appreciative of the luxuries and pleasures you so vividly described a while ago," The Phantom went on. His voice was soft, but there was a faint throb to his tones. "What good will it do a man to accumulate costly and beautiful things if he can't see them?" | 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"] | {"Title": ["The Gray Phantom"], "Author": ["Herman Landon"], "gd-path": "379/37913.txt"} | All | <collie.constraints.All object at 0x169318dc0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(wo... | 417 |
ccnews_c09 | According to police , four men wearing balaclavas went into the shop and forced staff into the back of the store, before ordering one of the employees to open the safe. When opened the men emptied the contents of the safe. Police have not released information on what or how much was taken. | 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": 591868, "title": "Safe emptied at Chertsey Co-op after raid by four-strong balaclava gang"} | All | <collie.constraints.All object at 0x1696084c0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(wo... | 418 |
english_c02 | transpersonal | Please generate a word:
1) with exactly 13 characters;
2) with the 4th, 8th, 11th characters to be 'n', 'r', 'n' respectively. | [13, ["n", "r", "n"]] | {} | All | <collie.constraints.All object at 0x1695ce1a0> | (Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 419 |
guten_c12 | No. 697.--The Kes-Kes Kick Chapter, of Yonkers, N. Y. J. Fowler Trow, Jun., Mary Van Rensselaer Ferris. Its meetings are held on Tuesdays. Chapter address, 488 Warburton Ave. | Please generate a paragraph:
1) with exactly 4 sentences;
2) with sentences having the last word to be 'No', 'Ferris', 'Tuesdays', 'Ave', respectively. | [4, ["No", "Ferris", "Tuesdays", "Ave"]] | {"Title": ["Harper's Round Table, May 21, 1895"], "Author": ["Various"], "gd-path": "329/32970.txt"} | All | <collie.constraints.All object at 0x1693e0e80> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 420 |
wiki_c14 | Marthe Matongo (born 30 April 1933) was a Central African social worker, politician and women's rights activist. In 1964 she became the first woman elected to the National Assembly.
Matongo was born into a Gbanzili family in Bambari in April 1933. Her father Michel was a teacher and she became one of the first girls i... | Please generate a passage:
1) with paragraphs having the last sentence to be 'In 1964 she became the first woman elected to the National Assembly', 'She subsequently studied in France and became a social worker', 'The National Assembly was subsequently dissolved in 1966 following the Saint-Sylvestre coup d'état', respe... | [["In 1964 she became the first woman elected to the National Assembly", "She subsequently studied in France and became a social worker", "The National Assembly was subsequently dissolved in 1966 following the Saint-Sylvestre coup d'\u00e9tat"], 2] | {"index": 6043336, "title": "Marthe Matongo"} | All | <collie.constraints.All object at 0x168e10280> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 421 |
ccnews_c10 | Outperform is an analyst recommendation which means that a stock is expected to do slightly better than the market return. Outperform is also known as “moderate-buy” or “over-weight” or “accumulate”. Whereas Underperform can also be taken in with “moderate sell” or “under-weight” or “weak-hold”. | Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 16 words;
3) with all sentences having at most 20 words. | [3, 16, 20] | {"index": 389042, "title": "Momentum Stock: SLM Corporation (SLM)"} | All | <collie.constraints.All object at 0x16968bf40> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 422 |
ccnews_c14 | 2017-18 District Operational Plan (DOP) – The DOP and update meets Worlds Best Workforce plan and reporting requirements. Dr. Ronneberg and Dr. Rahn provided an overview of the 2016-17 student achievement results, district desired results, district leverage goals, and school leverage goals. In addition, an overview was... | Please generate a passage:
1) with paragraphs having the last sentence to be 'The DOP can be found on the District website by choosing the Discover Spring Lake Park Schools tab, followed by Our Strategic Plan', 'In addition, Mr. Stromberg highlighted the significant progress made in diversifying staff', 'He invited peo... | [["The DOP can be found on the District website by choosing the Discover Spring Lake Park Schools tab, followed by Our Strategic Plan", "In addition, Mr. Stromberg highlighted the significant progress made in diversifying staff", "He invited people to check out Spring Lake Park Schools", "In addition, he shared a video... | {"index": 39456, "title": "School Board - INDEPENDENT SCHOOL DISTRICT 16"} | All | <collie.constraints.All object at 0x169930fd0> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 423 |
ccnews_c05 | In December, a judge found that Guevara, now retired, lied when he said that DeLeon-Reyes and Solache had confessed. | Please generate a sentence:
1) with exactly 19 words;
2) with the 4th, 8th, 11th words to be 'judge', 'now', 'when' respectively. | [19, ["judge", "now", "when"]] | {"index": 152862, "title": "2 exonerated men face deportation"} | All | <collie.constraints.All object at 0x169247a60> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 424 |
wiki_c10 | Bhaskara Deva, a Thakuri from Nuwakot, succeeded Vijayakama Deva and established the Nuwakot-Thakuri rule. He is said to have built Navabahal and Hemavarna Vihara. After Bhaskara Deva, four kings of this line ruled over the country. They were Bala Deva, Padma Deva, Nagarjuna Deva and Shankara Deva. | Please generate a paragraph:
1) with exactly 4 sentences;
2) with all sentences having at least 10 words;
3) with all sentences having at most 14 words. | [4, 10, 14] | {"index": 6379051, "title": "Thakuri dynasty"} | All | <collie.constraints.All object at 0x1694b6e00> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 425 |
wiki_c09 | The 2012–13 Senior Women's T20 League was the 5th edition of the women's Twenty20 cricket competition in India. It took place in February and March 2013 with 26 teams divided into five regional groups. Railways won the tournament, their fourth in a row, beating Hyderabad in the final. | 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": 6345087, "title": "2012\u201313 Senior Women's T20 League"} | All | <collie.constraints.All object at 0x16944c3a0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(wo... | 426 |
guten_c14 | "It is characteristic of the noblest natures and the finest imaginations," says an elegant writer, "to love to explore the vestiges of antiquity, and to dwell in times that are no more. The first is the domain of the imaginative affections alone; we can carry none of our baser passions with us thither. The antiquary i... | Please generate a passage:
1) with paragraphs having the last sentence to be 'There is, in fact, perhaps no spot of interest on the globe, which would be found to strike so deep an impression into so many minds."', '"This city," says Strabo, "and its next neighbour, Pompeii, on the river Sarnus, were originally held by... | [["There is, in fact, perhaps no spot of interest on the globe, which would be found to strike so deep an impression into so many minds.\"", "\"This city,\" says Strabo, \"and its next neighbour, Pompeii, on the river Sarnus, were originally held by the Osci, then by the Tyrrhenians and Pelasgians, then by the Samnites... | {"Title": ["Ruins of Ancient Cities (Vol. 1 of 2)\tWith General and Particular Accounts of Their Rise, Fall, and Present Condition"], "Author": ["Charles Bucke"], "gd-path": "408/40860.txt"} | All | <collie.constraints.All object at 0x168e13be0> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 427 |
ccnews_c04 | With all the injuries piling up, Joseph said he’s unsure about playing time for starters in Saturday’s preseason game. | Please generate a sentence with exactly 118 characters. Include whitespace into your character count. | 118 | {"index": 366182, "title": "Broncos WR Carlos Henderson day-to-day; T.J. Ward won\u2019t travel to San Fran; more notes"} | Constraint | Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
) | '' | 428 |
guten_c09 | "Mind you, I've told her nothing." Mrs. Gilson said, intervening in time to prevent an outburst on Nadin's part. "I was bid to get her shoes, and I got her shoes. I held my tongue." | Please generate a paragraph:
1) with exactly 4 sentences;
2) not containing the word 'the';
3) not containing the word 'of';
4) not containing the word 'is'. | [4, "the", "of", "is"] | {"Title": ["Starvecrow Farm"], "Author": ["Stanley John Weyman"], "gd-path": "391/39138.txt"} | All | <collie.constraints.All object at 0x1692e4e80> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(wo... | 429 |
guten_c04 | No mediaeval geographers, and scarcely any ancient, except Ptolemy, realised the size of Africa at all adequately. | Please generate a sentence with exactly 114 characters. Include whitespace into your character count. | 114 | {"Title": ["The Chronicle of the Discovery and Conquest of Guinea. Vol. II"], "Author": ["Gomes Eannes de Zurara"], "gd-path": "357/35764.txt"} | Constraint | Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
) | '' | 430 |
ccnews_c12 | Most objective statements are too long. Consider using what I like to call an “executive phrase” - two or three lines that capture your experience and how your experience and skills translate into what you want to do next. Connect the dots for the reader. | Please generate a paragraph:
1) with exactly 3 sentences;
2) with sentences having the last word to be 'long', 'next', 'reader', respectively. | [3, ["long", "next", "reader"]] | {"index": 682539, "title": "6 Easy Ways To Shorten Your Resume And Make It Stand Out"} | All | <collie.constraints.All object at 0x16970e1a0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 431 |
guten_c11 | The Peace of Paris, which brought the Seven Years' War to a close in 1763, marked the termination of the empire of France in the New World. Over the continent of North America, after that peace, only two flags floated, the red and yellow banner of Spain and the Union Jack of Great Britain. Of these the Union Jack held ... | Please generate a paragraph:
1) with at least 3 sentences;
2) with all sentences having at least 20 words. | [3, 20] | {"Title": ["The Canadian Dominion; a chronicle of our northern neighbor"], "Author": ["Oscar Douglas Skelton"], "gd-path": "028/02835.txt"} | All | <collie.constraints.All object at 0x1693c9de0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 432 |
guten_c14 | A philanthropist has published a little book which interests persons who in civilized society form a respectable minority, and in the savage world an overpowering majority. But, savage or polite, almost all men must shave, or must be shaved, and the author of "A Few Useful Hints on Shaving," is, in his degree, a benef... | Please generate a passage:
1) with paragraphs having the last sentence to be 'In his time, as in that of our fathers, ideas of beauty had changed, and the smooth chin was as much the mark of a gentleman as the bearded chin had been the token of a man', 'They pretended that his performances were equal to those of the ba... | [["In his time, as in that of our fathers, ideas of beauty had changed, and the smooth chin was as much the mark of a gentleman as the bearded chin had been the token of a man", "They pretended that his performances were equal to those of the barber on board the ship that brought them from America", "This time is worth... | {"Title": ["Lost Leaders"], "Author": ["Andrew Lang"], "gd-path": "165/16529.txt"} | All | <collie.constraints.All object at 0x168e38be0> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 433 |
wiki_c07 | Tower Holdings submitted a third proposal early in 2010. | Please generate a sentence containing the word 'Holdings', 'proposal', '2010'. | ["Holdings", "proposal", "2010"] | {"index": 356300, "title": "Great Keppel Island"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 434 |
english_c01 | affrightens | Please generate a word with at least 11 characters. | [11] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 435 |
guten_c06a | Now, my brother's got an extra room--and he's already said he'll put you up, cause I've asked him--any friend of his sister is always welcome. | Please generate a sentence:
1) with at least 33 words;
2) with all words having at most 7 characters. | [33, 7] | {"Title": ["Violists"], "Author": ["Richard McGowan"], "gd-path": "001/00112.txt"} | All | <collie.constraints.All object at 0x1697e55a0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 436 |
guten_c07 | The officer, a good fellow as it turned out, had him escorted back to the inn; where, observing to the landlord that this must needs be a true-blooded Yankee, he calls for liquors to refresh Israel after his run. | Please generate a sentence containing the word 'as', 'fellow', 'Yankee'. | ["as", "fellow", "Yankee"] | {"Title": ["Israel Potter"], "Author": ["Herman Melville"], "gd-path": "154/15422.txt"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 437 |
guten_c04 | Potato starch or farina, when mixed with flour, makes a wholesome and palatable bread. | Please generate a sentence with exactly 86 characters. Include whitespace into your character count. | 86 | {"Title": ["Blackwood's Edinburgh Magazine, Volume 58, No. 362, December 1845"], "Author": ["Various"], "gd-path": "339/33938.txt"} | Constraint | Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
) | '' | 438 |
wiki_c10 | In peacetime the Bibb spent time on ocean station providing weather information and beacons to trans-Atlantic traffic. While on ocean station, the Bibb came to the rescue of the airliner, the Bermuda Sky Queen. In the Vietnam War, the Bibb transported John Kerry after he was shot on his Swift boat. | 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 17 words. | [3, 17, 17] | {"index": 628500, "title": "USCGC Bibb"} | All | <collie.constraints.All object at 0x1694b50c0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 439 |
guten_c07 | 008:018 According to the good hand of our God on us they brought us a man of discretion, of the sons of Mahli, the son of Levi, the son of Israel; and Sherebiah, with his sons and his brothers, eighteen; 008:019 and Hashabiah, and with him Jeshaiah of the sons of Merari, his brothers and their sons, twenty; 008:020 and... | Please generate a sentence containing the word 'brothers', 'Levi', 'of'. | ["brothers", "Levi", "of"] | {"Title": ["The World English Bible (WEB): Ezra"], "Author": ["Anonymous"], "gd-path": "082/08242.txt"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 440 |
wiki_c09 | Expansion devices are controlled and exchange data with the host system through defined memory or I/O space port addresses, direct memory access channels, interrupt request lines and other mechanisms, which must be uniquely associated with a particular device to operate. Some computers provided unique combinations of t... | Please generate a paragraph:
1) with exactly 8 sentences;
2) not containing the word 'there';
3) not containing the word 'this';
4) not containing the word 'is'. | [8, "there", "this", "is"] | {"index": 90965, "title": "Plug and play"} | All | <collie.constraints.All object at 0x16941f520> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(wo... | 441 |
wiki_c07 | In winter 944, Emperor Taizong again made a major incursion into Later Jin territory, using Zhao Yanshou as his forward commander. | Please generate a sentence containing the word 'Zhao', 'as', 'incursion'. | ["Zhao", "as", "incursion"] | {"index": 632253, "title": "Emperor Taizong of Liao"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 442 |
guten_c04 | But the smothered squealing of her babies reached the ears of the mother, and the man soon heard a loud grunting. | Please generate a sentence with exactly 113 characters. Include whitespace into your character count. | 113 | {"Title": ["Harper's Young People, February 17, 1880\tAn Illustrated Weekly"], "Author": ["Various"], "gd-path": "283/28353.txt"} | Constraint | Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
) | '' | 443 |
wiki_c12 | Williams began his collegiate head coaching career at Morehouse College in 1997. He was named the head football coach at Grambling State University in 1998, succeeding the legendary Eddie Robinson. He led the Tigers to three consecutive Southwestern Athletic Conference titles from 2000–2002, before leaving to rejoin th... | Please generate a paragraph:
1) with exactly 3 sentences;
2) with sentences having the last word to be '1997', 'Robinson', 'executive', respectively. | [3, ["1997", "Robinson", "executive"]] | {"index": 342636, "title": "Doug Williams (quarterback)"} | All | <collie.constraints.All object at 0x169520b80> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 444 |
guten_c14 | But to return: the open and generous heart of Mr. Day expanded with inexpressible delight at being the cause of happiness to others, he thought some little return due to the lads and lasses, who so graciously favoured him with their company; he provided several sacks of beans, and a sufficient quantity of bacon, dresse... | Please generate a passage:
1) with paragraphs having the last sentence to be 'Mr. Day survived them all, about ten in number, several years', 'His dernier resort was a jockey-cart, in which, attended by music, he took his annual trip up to the July preceding his death', 'Long may Fairlop’s Friday continue to be joyousl... | [["Mr. Day survived them all, about ten in number, several years", "His dernier resort was a jockey-cart, in which, attended by music, he took his annual trip up to the July preceding his death", "Long may Fairlop\u2019s Friday continue to be joyously looked forward to by all as \u201cthe good Day\u2019s\u201d day of \... | {"Title": ["Fairlop and its Founder"], "Author": ["Famed First Friday Fairgoer"], "gd-path": "511/51154.txt"} | All | <collie.constraints.All object at 0x168e3a260> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 445 |
english_c02 | hydrocortisone | Please generate a word:
1) with exactly 14 characters;
2) with the 4th, 8th, 11th characters to be 'r', 'r', 's' respectively. | [14, ["r", "r", "s"]] | {} | All | <collie.constraints.All object at 0x16959d360> | (Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 446 |
english_c02 | hierogrammats | Please generate a word:
1) with exactly 13 characters;
2) with the 4th, 8th, 11th characters to be 'r', 'a', 'a' respectively. | [13, ["r", "a", "a"]] | {} | All | <collie.constraints.All object at 0x1695cfe80> | (Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 447 |
guten_c14 | "'Till something happened' . . . Here he strangely paused";
but soon went on to tell the way in which the news had reached them there. . . . While Aristophanes spoke, Balaustion searched his face; and now (recalling, on the way to Rhodes, that hour to Euthukles), she likens the change which she then saw in it to that... | Please generate a passage:
1) with paragraphs having the last sentence to be 'Here he strangely paused";', 'While Aristophanes spoke, Balaustion searched his face; and now (recalling, on the way to Rhodes, that hour to Euthukles), she likens the change which she then saw in it to that made by a black cloud suddenly sai... | [["Here he strangely paused\";", "While Aristophanes spoke, Balaustion searched his face; and now (recalling, on the way to Rhodes, that hour to Euthukles), she likens the change which she then saw in it to that made by a black cloud suddenly sailing over a stretch of sparkling sea--such a change as they are in this ve... | {"Title": ["Browning's Heroines"], "Author": ["Ethel Colburn Mayne"], "gd-path": "212/21247.txt"} | All | <collie.constraints.All object at 0x168e38f40> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 448 |
wiki_c09 | After the treaties signed between the Indians and William Henry Harrison were concluded, Thomas S. Hinde purchased Hanging Rock and the surrounding land. Hinde proposed to the United States Congress that a dam be built at Hanging Rock in 1842. Even though the proposed dam was rejected, Hinde wanted the dam to be a "w... | 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": 3852796, "title": "Hanging Rock (Wabash River)"} | All | <collie.constraints.All object at 0x1694a75e0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(wo... | 449 |
wiki_c05 | Their mother died in 1875, and their father died eight years later in 1883. | Please generate a sentence:
1) with exactly 14 words;
2) with the 4th, 8th, 11th words to be 'in', 'father', 'years' respectively. | [14, ["in", "father", "years"]] | {"index": 2388563, "title": "Holt Manufacturing Company"} | All | <collie.constraints.All object at 0x169874c10> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 450 |
guten_c10 | Andy Sudds and Phineas Roebach took the lead in this journey. They understood better how to handle the dogs and how to choose the trail. But, indeed, the trail was pretty well marked for them by the white traders who had gone before. Their camping sites were marked by a plenitude of discarded and empty food tins. | 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 18 words. | [4, 11, 18] | {"Title": ["On a Torn-Away World\tOr, the Captives of the Great Earthquake"], "Author": ["Roy Rockwood"], "gd-path": "064/06468.txt"} | All | <collie.constraints.All object at 0x16939a500> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 451 |
wiki_c10 | Democratic Workers of the Philippines was a party-list that contested the 2004 legislative election in the Philippines. The list obtained 3,900 votes (0.03%) and failed to win any seats. The list obtained its highest share of votes in the Central Visayas region, where it won 1,119 votes (0.14%). | Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 12 words;
3) with all sentences having at most 19 words. | [3, 12, 19] | {"index": 1442697, "title": "Democratic Workers of the Philippines"} | All | <collie.constraints.All object at 0x1694ebc40> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 452 |
ccnews_c09 | Beyond that, Macron wants to cut 120,000 functionary jobs in the next five years; at the same time, he calls for hiring 10,000 more police officers and national guardsmen. He wants to reduce public spending by some 60 billion euros over the course of his presidency, but he also wants to boost military spending, to 2 pe... | Please generate a paragraph:
1) with exactly 4 sentences;
2) not containing the word 'be';
3) not containing the word 'this';
4) not containing the word 'is'. | [4, "be", "this", "is"] | {"index": 136484, "title": "The Trouble with Macron"} | All | <collie.constraints.All object at 0x16968a2c0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(wo... | 453 |
guten_c04 | One sees it in those minor personalities of the tale whom he is content to record from without. | Please generate a sentence with exactly 95 characters. Include whitespace into your character count. | 95 | {"Title": ["Punch, or the London Charivari, Vol. 150, January 19, 1916"], "Author": ["Various"], "gd-path": "226/22610.txt"} | Constraint | Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
) | '' | 454 |
ccnews_c14 | “Firstly, I’m a big fan of Rami Malek, who’s playing the lead. I think he’ll do a cracking job of it. But secondly, it doesn’t matter how good the actors are — It comes down to whether you have a good script, a good story.”
“Part of the problem is that they want to make a nice, family-friendly sort of movie. Freddie M... | Please generate a passage:
1) with paragraphs having the last sentence to be 'But secondly, it doesn’t matter how good the actors are — It comes down to whether you have a good script, a good story.”', 'We’ll see when the film comes out how truthful it is.”', 'Why do you think that is?', 'Further generations will no do... | [["But secondly, it doesn\u2019t matter how good the actors are \u2014 It comes down to whether you have a good script, a good story.\u201d", "We\u2019ll see when the film comes out how truthful it is.\u201d", "Why do you think that is?", "Further generations will no doubt appreciate them for their musicality and becau... | {"index": 300845, "title": "Rock tribute show brings magic of Queen to Windsor"} | All | <collie.constraints.All object at 0x169906830> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 455 |
guten_c05 | For about four months he served on the Committee at a great personal sacrifice. | Please generate a sentence:
1) with exactly 14 words;
2) with the 4th, 8th, 11th words to be 'months', 'the', 'a' respectively. | [14, ["months", "the", "a"]] | {"Title": ["Chitta Ranjan"], "Author": ["Sukumar Ranjan Das"], "gd-path": "418/41897.txt"} | All | <collie.constraints.All object at 0x16976ba00> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 456 |
ccnews_c10 | Even before Bangladesh came into being, I had gone there for a writing project. I wrote that what the Army was doing to the Bengalis was terrible. I was thrown out of my job, though it was subsequently given back to me. | 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 15 words. | [3, 13, 15] | {"index": 309146, "title": "Pakistan\u2019s leading poet Kishwar Naheed on the two years her family was in India after Partition"} | All | <collie.constraints.All object at 0x16969cf40> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 457 |
wiki_c07 | Items - cards that can be used a limited number of times and which have to be charged by the Fortune-Teller in exchange for gold. | Please generate a sentence containing the word 'the', 'exchange', 'be'. | ["the", "exchange", "be"] | {"index": 5475246, "title": "Book of Demons"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 458 |
ccnews_c14 | Instead of wholesale renovations from which sellers recoup maybe 60 percent on investment, do light makeovers everywhere, with an eye on the kitchen and bathrooms. They're far more cost-effective. Clean, clean and clean some more: It's hard for buyers to picture themselves living in a dirty house. Scrub floors, baths, ... | Please generate a passage:
1) with paragraphs having the last sentence to be 'This is simple but effective', 'Organize your closets to make them look half empty', 'Repaint where needed but use neutral colors', respectively;
2) with all paragraphs having at least 2 sentences. | [["This is simple but effective", "Organize your closets to make them look half empty", "Repaint where needed but use neutral colors"], 2] | {"index": 183518, "title": "Top 10 Real Estate Tips"} | All | <collie.constraints.All object at 0x169905870> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 459 |
ccnews_c05 | It was easy to imagine an ad boycott against “Roseanne” and other ABC programs. | Please generate a sentence:
1) with exactly 16 words;
2) with the 4th, 8th, 11th words to be 'to', 'boycott', 'Roseanne' respectively. | [16, ["to", "boycott", "Roseanne"]] | {"index": 573146, "title": "The inside story of how ABC fired Roseanne Barr"} | All | <collie.constraints.All object at 0x169244340> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 460 |
ccnews_c12 | It’s a very timely question, since legislators will soon decide whether to go along with Gov. Scott Walker’s budget proposal to hire more DOR auditors and agents to track down scofflaws. The budget proposes adding 38 new tax-enforcement professionals, but also notes that 33 positions authorized in 2013 to follow-up on ... | Please generate a paragraph:
1) with exactly 4 sentences;
2) with sentences having the last word to be 'Gov', 'scofflaws', 'end', 'added', respectively. | [4, ["Gov", "scofflaws", "end", "added"]] | {"index": 441714, "title": "State Targets Tax Evaders"} | All | <collie.constraints.All object at 0x1696eece0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 461 |
wiki_c05 | Female masking is a form of cross-dressing in which men wear masks that present them as female. | Please generate a sentence:
1) with exactly 17 words;
2) with the 4th, 8th, 11th words to be 'a', 'in', 'wear' respectively. | [17, ["a", "in", "wear"]] | {"index": 2566, "title": "Cross-dressing"} | All | <collie.constraints.All object at 0x1698778b0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 462 |
wiki_c14 | Singleton Abbey () is a large, mainly 19th-century mansion in Swansea, Wales. Today, the buildings are used to house administration offices for Swansea University. They can be found at the eastern end of the Swansea University Singleton Park campus.
The nucleus of the house is a neo-classical villa, octagonal in pla... | Please generate a passage:
1) with paragraphs having the last sentence to be 'They can be found at the eastern end of the Swansea University Singleton Park campus', 'The house then served as residence of the Vivian family for several years', 'The back stairs, on the axis of the south front, and the ground-floor room in... | [["They can be found at the eastern end of the Swansea University Singleton Park campus", "The house then served as residence of the Vivian family for several years", "The back stairs, on the axis of the south front, and the ground-floor room in the centre of the south front, with a bowed inner end, survive from the or... | {"index": 1065826, "title": "Singleton Abbey"} | All | <collie.constraints.All object at 0x168ded1e0> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 463 |
wiki_c07 | Cutting also performs and records as Simpson Cutting Kerr with guitarist Martin Simpson and fiddle player Nancy Kerr. | Please generate a sentence containing the word 'Nancy', 'Cutting', 'performs'. | ["Nancy", "Cutting", "performs"] | {"index": 649277, "title": "Andy Cutting"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 464 |
wiki_c14 | Aragvi was a Soviet and Russian restaurant on Tverskaya Street in Moscow that specialized in Georgian and Caucasian cuisine. During Soviet times, it had a reputation as an important gathering place for political, scientific, and cultural elites. Aragvi has also been featured in American and Soviet popular culture. The ... | Please generate a passage:
1) with paragraphs having the last sentence to be 'Aragvi closed permanently in early 2019', 'The restaurant would be headed by Longinoz Stazhadze, a member of "Samtrust", a winemaking trust founded in 1929 in the Georgian Soviet Socialist Republic', 'The new menu was expanded to include non-... | [["Aragvi closed permanently in early 2019", "The restaurant would be headed by Longinoz Stazhadze, a member of \"Samtrust\", a winemaking trust founded in 1929 in the Georgian Soviet Socialist Republic", "The new menu was expanded to include non-Georgian Caucasian dishes", "In August 2019, the site of the restaurant w... | {"index": 6275012, "title": "Aragvi (restaurant)"} | All | <collie.constraints.All object at 0x168e105e0> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 465 |
wiki_c10 | Timur Bolat (born 14 May 1989 in Ulaanbaatar, Mongolia) is a Mongolian-born Kazakhstani judoka. He competed at the 2012 Summer Olympics in the -90 kg event and lost his second match to Masashi Nishiyama. Bolat won the bronze medal at the 2009 and 2011 Asian Judo Championships. | 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": 3873540, "title": "Timur Bolat"} | All | <collie.constraints.All object at 0x1694e8880> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 466 |
ccnews_c09 | “It’s in my bones being Welsh, so going to Rada was quite a culture shock. There were people there from Eton and Cambridge and there was me, that went to my local comp, and it was intimidating. I struggled with that at first, thinking ‘I don’t deserve to be here, I’m out of my depth’, but then I met a handful of sort o... | Please generate a paragraph:
1) with exactly 4 sentences;
2) not containing the word 'the';
3) not containing the word 'this';
4) not containing the word 'is'. | [4, "the", "this", "is"] | {"index": 234652, "title": "Interview: Alexandra Roach"} | All | <collie.constraints.All object at 0x169679300> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(wo... | 467 |
english_c02 | rangefinders | Please generate a word:
1) with exactly 12 characters;
2) with the 4th, 8th, 11th characters to be 'g', 'n', 'r' respectively. | [12, ["g", "n", "r"]] | {} | All | <collie.constraints.All object at 0x1695b6ce0> | (Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 468 |
ccnews_c12 | Virtually everyone benefits from becoming more physically active, research shows. But 39% of adults in the UK fail to get enough exercise. In the past, people with chronic pain were advised to rest. Now, a number of recent studies have indicated that exercise can ease chronic pain and improve physical function in indiv... | Please generate a paragraph:
1) with exactly 5 sentences;
2) with sentences having the last word to be 'shows', 'exercise', 'rest', 'cases', 'positive', respectively. | [5, ["shows", "exercise", "rest", "cases", "positive"]] | {"index": 504516, "title": "How exercise prescriptions could change the NHS"} | All | <collie.constraints.All object at 0x16972b460> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 469 |
english_c01 | killifishes | Please generate a word with at least 11 characters. | [11] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 470 |
ccnews_c05 | The executives decided that Dungey should issue the statement, and then Iger would follow up with a tweet. | Please generate a sentence:
1) with exactly 18 words;
2) with the 4th, 8th, 11th words to be 'that', 'the', 'then' respectively. | [18, ["that", "the", "then"]] | {"index": 573146, "title": "The inside story of how ABC fired Roseanne Barr"} | All | <collie.constraints.All object at 0x16926af20> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 471 |
wiki_c12 | Debraj Roy College (informally known as D. R. College or D. R.) is a leading public higher education institution established in 1949 at Jonaki Nagar in Golaghat. Affiliated to Dibrugarh University, the college has 15 departments running Higher Secondary and Undergraduate programmes both in Science and Arts. The college... | Please generate a paragraph:
1) with exactly 5 sentences;
2) with sentences having the last word to be 'Golaghat', 'Arts', 'University', 'students', '2016', respectively. | [5, ["Golaghat", "Arts", "University", "students", "2016"]] | {"index": 3414782, "title": "Debraj Roy College"} | All | <collie.constraints.All object at 0x16953f100> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 472 |
guten_c09 | To clean a carpet, take a small wet tea-leaf and roll it well over the carpet. Then remove the tea-leaf and store in a dry place. Take the carpet to the cleaners and you will be surprised at the result. | 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 'is'. | [3, "there", "of", "is"] | {"Title": ["Punch, or the London Charivari, Volume 156, Jan. 15, 1919"], "Author": ["Various"], "gd-path": "109/10952.txt"} | All | <collie.constraints.All object at 0x169357880> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(wo... | 473 |
guten_c14 | Both of them were far more relaxed when they dressed for dinner, though Tangerine meowed plaintively at Odeon and tried to climb his trouser leg. He shrugged, grinning at Cortin, and sat down. "Part of her routine this time of day, I'm afraid," he apologized as the kitten jumped to his shoulder and began nibbling at hi... | Please generate a passage:
1) with paragraphs having the last sentence to be '"Part of her routine this time of day, I'm afraid," he apologized as the kitten jumped to his shoulder and began nibbling at his earlobe', 'Cortin said, chuckling', '"I'm cleared for the convent defense, then."', 'I just wish I were, too."', ... | [["\"Part of her routine this time of day, I'm afraid,\" he apologized as the kitten jumped to his shoulder and began nibbling at his earlobe", "Cortin said, chuckling", "\"I'm cleared for the convent defense, then.\"", "I just wish I were, too.\""], 2] | {"Title": ["The Alembic Plot\tA Terran Empire novel"], "Author": ["Ann Wilson"], "gd-path": "257/25739.txt"} | All | <collie.constraints.All object at 0x168e12b00> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 474 |
english_c01 | sweltriest | Please generate a word with at least 10 characters. | [10] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 475 |
guten_c10 | Washing, however, with a large quantity of water has quite other effects than those of mere cleanliness. The skin absorbs the water and becomes softer and more perspirable. To wash with soap and soft water is, therefore, desirable from other points of view than that of cleanliness. | 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 19 words. | [3, 11, 19] | {"Title": ["Notes on Nursing\tWhat It Is, and What It Is Not"], "Author": ["Florence Nightingale"], "gd-path": "124/12439.txt"} | All | <collie.constraints.All object at 0x16937c1c0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 476 |
guten_c07 | The facade on the gardens--now shrunk from their former spaciousness to a small court--is most impressive, with ancient wrought-iron balconies; in its pediment, two vigilant dogs watch the hands that move no more on the great clock-face between them. | Please generate a sentence containing the word 'wrought-iron', 'great', 'them'. | ["wrought-iron", "great", "them"] | {"Title": ["The Stones of Paris in History and Letters, Volume 1 (of 2)"], "Author": ["Charlotte M. Martin", "Benjamin Ellis Martin"], "gd-path": "419/41914.txt"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 477 |
guten_c06a | "No," said Mr. Edison, "there is no danger. | Please generate a sentence:
1) with at least 11 words;
2) with all words having at most 6 characters. | [11, 6] | {"Title": ["Edison's Conquest of Mars"], "Author": ["Garrett Putman Serviss"], "gd-path": "216/21670.txt"} | All | <collie.constraints.All object at 0x1697cbb20> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 478 |
ccnews_c14 | -Struggles to create his own shot in the half-court. Doesn't have a great first step, making it difficult for him to create space to operate. Forced to take a lot of tough shots.
-Not going to rise up over defenders inside the paint for explosive finishes. 48% 2P% at this tournament
-Tends to dribble with his head do... | Please generate a passage:
1) with paragraphs having the last sentence to be 'Forced to take a lot of tough shots', '48% 2P% at this tournament', 'Negative assist to turnover ratio everywhere he's been', respectively;
2) with all paragraphs having at least 2 sentences. | [["Forced to take a lot of tough shots", "48% 2P% at this tournament", "Negative assist to turnover ratio everywhere he's been"], 2] | {"index": 316713, "title": "2016 FIBA U18 European Championship Scouting Reports: Wings"} | All | <collie.constraints.All object at 0x169907250> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 479 |
ccnews_c05 | She has also served on the Honorary Board of Governors since 2003. | Please generate a sentence:
1) with exactly 12 words;
2) with the 4th, 8th, 11th words to be 'served', 'Board', 'since' respectively. | [12, ["served", "Board", "since"]] | {"index": 74337, "title": "Ireland, Presley and \u2018Idol\u2019 Abrams Join Dream Foundation Emeritus Reunion"} | All | <collie.constraints.All object at 0x1692445e0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 480 |
ccnews_c07 | It’s a viewpoint shared by the B.C. | Please generate a sentence containing the word 'shared', 's', 'It'. | ["shared", "s", "It"] | {"index": 435709, "title": "Fewer rants, more listening needed to solve B.C. housing crisis"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 481 |
wiki_c07 | He served in 21 battles and was wounded three times, the last wound being fatal. | Please generate a sentence containing the word 'last', '21', 'times'. | ["last", "21", "times"] | {"index": 3367927, "title": "Augustus Wade Dwight"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 482 |
wiki_c12 | The 1410 was similar in design to the very popular IBM 1401, but it had one major difference. Addresses were five characters long and allowed a maximum memory of 80,000 characters, much larger than the 16,000 characters permitted by the 1401's three character addresses. However, the 1410 could also be run in what was ... | Please generate a paragraph:
1) with exactly 5 sentences;
2) with sentences having the last word to be 'difference', 'addresses', 'mode', 'switch', 'mnemonics', respectively. | [5, ["difference", "addresses", "mode", "switch", "mnemonics"]] | {"index": 286644, "title": "IBM 1410"} | All | <collie.constraints.All object at 0x16953c5e0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 483 |
ccnews_c14 | Still, the unintended consequences of these pace-of-play rules are worth monitoring. Will five-man minor league rotations disappear? Will two trends already in motion – stricter limits on prospects’ innings and pitch counts – only gain more steam?
The consequence of a pitch clock could even be something baseball hasn’... | Please generate a passage:
1) with paragraphs having the last sentence to be 'Will two trends already in motion – stricter limits on prospects’ innings and pitch counts – only gain more steam?', 'For now, it’s being counted as an acceptable cost of progress', 'A 20-game losing streak is nothing compared to losing your ... | [["Will two trends already in motion \u2013 stricter limits on prospects\u2019 innings and pitch counts \u2013 only gain more steam?", "For now, it\u2019s being counted as an acceptable cost of progress", "A 20-game losing streak is nothing compared to losing your relevance.\u201d"], 2] | {"index": 478022, "title": "Hoornstra: Pace of play rule could put pitching prospects at greater risk for injury"} | All | <collie.constraints.All object at 0x169931330> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 484 |
wiki_c11 | On December 13, the coalition between MORENA, the PT and the PES was formalized under the name Juntos Haremos Historia (English: Together we will make history). Following the signing of the agreement, Andrés Manuel López Obrador was appointed as a pre-candidate for the three political formations. It was a partial coali... | Please generate a paragraph:
1) with at least 3 sentences;
2) with all sentences having at least 20 words. | [3, 20] | {"index": 4634246, "title": "Social Encounter Party"} | All | <collie.constraints.All object at 0x16950a800> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 485 |
wiki_c09 | Spokane became a noted leader in the manufacture of doors, window sashes, blinds, and other planing mill products. The city also became noted for processing and distributing dairy and orchard products and for producing products milled from timber. By the early 20th century Spokane was primarily a commercial center rath... | Please generate a paragraph:
1) with exactly 3 sentences;
2) not containing the word 'there';
3) not containing the word 'to';
4) not containing the word 'is'. | [3, "there", "to", "is"] | {"index": 2506664, "title": "Economy of Spokane, Washington"} | All | <collie.constraints.All object at 0x16944ef80> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(not in),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(wo... | 486 |
ccnews_c10 | In addition, another administration has been established harmful to the Puerto Rican working class — that of Gov. Roselló, who imposes reforms to please the JCF while making Puerto Rican workers’ lives precarious. On top of all this, there is another proposal for a futile status plebiscite to be held on June 11. | Please generate a paragraph:
1) with exactly 3 sentences;
2) with all sentences having at least 16 words;
3) with all sentences having at most 20 words. | [3, 16, 20] | {"index": 243211, "title": "Oscar L\u00f3pez\u2019s bittersweet freedom"} | All | <collie.constraints.All object at 0x1696d4b80> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 487 |
guten_c12 | Mere generalization is one-sided and leads to fantastical dreams. By this method one can transform anything into everything. It is necessary to supplement generalization by specialization. We wish to have the elephants separated from the fleas, the mice from the lice, at the same time never forgetting the unity of the ... | Please generate a paragraph:
1) with exactly 5 sentences;
2) with sentences having the last word to be 'dreams', 'everything', 'specialization', 'general', 'specialization', respectively. | [5, ["dreams", "everything", "specialization", "general", "specialization"]] | {"Title": ["The Positive Outcome of Philosophy\tThe Nature of Human Brain Work. Letters on Logic."], "Author": ["Joseph Dietzgen"], "gd-path": "399/39964.txt"} | All | <collie.constraints.All object at 0x1693fe6e0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 488 |
wiki_c14 | The Western Railroad Stone Arch Bridges and Chester Factory Village Depot is a National Historic Landmark District extending through parts of the towns of Chester, Middlefield, and Becket, Massachusetts. It encompasses a section of the historic Western Railroad railbed, two stone bridges constructed in the 1840s under... | Please generate a passage:
1) with paragraphs having the last sentence to be 'All of the bridges are viewable via whitewater-appropriate watercraft from the river', 'The Chester Factory depot was an important stopping point for the railroad, where additional engines were added to westbound trains prior to traversing th... | [["All of the bridges are viewable via whitewater-appropriate watercraft from the river", "The Chester Factory depot was an important stopping point for the railroad, where additional engines were added to westbound trains prior to traversing the steeper grades to the west", "The two stone bridges included in the landm... | {"index": 6208714, "title": "Western Railroad Stone Arch Bridges and Chester Factory Village Depot"} | All | <collie.constraints.All object at 0x168dee860> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 489 |
guten_c12 | Capt. Fortescue and I looked over civilian hospital and found it to be very filthy. Owing to the fact that it was so small and occupied to its full capacity, decided to look further. Directing our steps to the school, we found a very clean, desirable building, large enough to accommodate at least one hundred patients. | Please generate a paragraph:
1) with exactly 4 sentences;
2) with sentences having the last word to be 'Capt', 'filthy', 'further', 'patients', respectively. | [4, ["Capt", "filthy", "further", "patients"]] | {"Title": ["The History of the American Expedition Fighting the Bolsheviki\tCampaigning in North Russia 1918-1919"], "Author": ["Lewis E. Jahns", "Harry H. Mead", "Joel R. (Joel Roscoe) Moore"], "gd-path": "225/22523.txt"} | All | <collie.constraints.All object at 0x1693e26e0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 490 |
wiki_c05 | Additionally, the N train again ran express in Manhattan on weekdays from 34th Street–Herald Square to Canal Street. | Please generate a sentence:
1) with exactly 18 words;
2) with the 4th, 8th, 11th words to be 'train', 'in', 'weekdays' respectively. | [18, ["train", "in", "weekdays"]] | {"index": 274417, "title": "W (New York City Subway service)"} | All | <collie.constraints.All object at 0x1698b0a90> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 491 |
ccnews_c07 | The photos show Americans of all colors and classes. | Please generate a sentence containing the word 'and', 'photos', 'of'. | ["and", "photos", "of"] | {"index": 352174, "title": "'RFK Funeral Train' show: Kennedy's final journey in photos"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 492 |
wiki_c05 | The strength of its areas of Basic Sciences announces the solid and rapid growth will thereafter. | Please generate a sentence:
1) with exactly 16 words;
2) with the 4th, 8th, 11th words to be 'its', 'Sciences', 'solid' respectively. | [16, ["its", "Sciences", "solid"]] | {"index": 1878093, "title": "Andr\u00e9s Bello National University"} | All | <collie.constraints.All object at 0x169875930> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 493 |
ccnews_c14 | Using electric hand mixer, beat butter with all but 1 Tbsp. (15 mL) of brown sugar until fluffy. Add egg yolks, vanilla and almond extract; beat again. Stir in carrots. Set aside.
In large bowl, sift together flour, cocoa powder, cinnamon, baking soda, baking powder and nutmeg. Fold into butter mixture, alternate with... | Please generate a passage:
1) with paragraphs having the last sentence to be 'Set aside', 'Fold in chocolate chips', 'Let cool completely on rack', respectively;
2) with all paragraphs having at least 2 sentences. | [["Set aside", "Fold in chocolate chips", "Let cool completely on rack"], 2] | {"index": 87621, "title": "Fight animal cruelty with cupcakes"} | All | <collie.constraints.All object at 0x169907d90> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 494 |
ccnews_c07 | According to Department of Public Safety spokesman Bart Graves, it started with a collision between a pickup truck and a motorcycle. | Please generate a sentence containing the word 'a', 'a', 'of'. | ["a", "a", "of"] | {"index": 622710, "title": "Motorcyclist, 2 others injured in multi-vehicle crash on I-10"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 495 |
guten_c06a | Also he was hungry, and he had heard Paul whinny. | Please generate a sentence:
1) with at least 10 words;
2) with all words having at most 6 characters. | [10, 6] | {"Title": ["Sunny Boy in the Country"], "Author": ["Ramy Allison White"], "gd-path": "262/26232.txt"} | All | <collie.constraints.All object at 0x1697cb760> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 496 |
wiki_c14 | "Focus of instruction is on communication rather than its form." "Speech production comes slowly and is never forced." "Early speech goes through natural stages (yes or no response, one- word answers, lists of words, short phrases, complete sentences.)"
These principles result in classrooms where the teacher emphas... | Please generate a passage:
1) with paragraphs having the last sentence to be '"Early speech goes through natural stages (yes or no response, one- word answers, lists of words, short phrases, complete sentences.)"', 'In addition, teachers using the natural approach aim to create situations in the classroom that are intr... | [["\"Early speech goes through natural stages (yes or no response, one- word answers, lists of words, short phrases, complete sentences.)\"", "In addition, teachers using the natural approach aim to create situations in the classroom that are intrinsically motivating for students", "Terrell sees some techniques as more... | {"index": 3662470, "title": "Natural approach"} | All | <collie.constraints.All object at 0x168dec7c0> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 497 |
ccnews_c10 | “The prisons department has already submitted its affidavit on the actor’s release. The Court has asked for more details, which we will provide,” he said. “No case has been registered against him of default, indiscipline while he was in jail. There was no adverse report from police as well when he was out of the jail,”... | Please generate a paragraph:
1) with exactly 4 sentences;
2) with all sentences having at least 14 words;
3) with all sentences having at most 19 words. | [4, 14, 19] | {"index": 364713, "title": "Mumbai: Sanjay Dutt got no special remission, says Home department"} | All | <collie.constraints.All object at 0x16969f340> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
), Constraint(
InputLevel(sentence),
TargetL... | 498 |
ccnews_c07 | North Bay Brain Tumour Walk 2018 — People affected by brain tumours should never walk alone. | Please generate a sentence containing the word 'Tumour', 'never', 'People'. | ["Tumour", "never", "People"] | {"index": 423324, "title": "5 things to do this weekend, June 2 and 3, in Almaguin, North Bay"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 499 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.