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 |
|---|---|---|---|---|---|---|---|---|
ccnews_c07 | After meeting with Peña Nieto, Slim, Mexico's richest person, said: "There is a lot to be done, therefore it must be done efficiently. | Please generate a sentence containing the word 'person', 'with', 'There'. | ["person", "with", "There"] | {"index": 682589, "title": "Mexico's Billionaires Create Trust To Help With Reconstruction After September Quakes"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 1,800 |
english_c01 | stalwartly | Please generate a word with at least 10 characters. | [10] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 1,801 |
guten_c12 | Suddenly breath exploded from Captain Wiley's lungs. His body jerked back. He fell to the blue stone pavement. | Please generate a paragraph:
1) with exactly 3 sentences;
2) with sentences having the last word to be 'lungs', 'back', 'pavement', respectively. | [3, ["lungs", "back", "pavement"]] | {"Title": ["The Lonely Ones"], "Author": ["Edward W. Ludwig"], "gd-path": "383/38302.txt"} | All | <collie.constraints.All object at 0x1693e0ac0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 1,802 |
wiki_c10 | The row is on the south side of East 78th, between Second and Third avenues. The block is residential, with many similar, taller rowhouses on both sides of the tree-lined street. The neighborhood is just outside the Upper East Side Historic District, close to the southern edge of Yorkville. | 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 18 words. | [3, 15, 18] | {"index": 2883704, "title": "Houses at 208\u2013218 East 78th Street"} | All | <collie.constraints.All object at 0x1694d16c0> | (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)
)) | 1,803 |
guten_c12 | So we turned about. And the sky toward the east was of a lovely soft, warm pearl-gray, and the water the same pearl-gray with tints of rose and of a light blue here and there. The distance was veiled in an impalpable haze, and water and sky merged into a soft grayish blur toward the horizon, as if smeared with a dry brush. The water, gray with its rose tints and its blue, seemed to dimple softly, like a baby smiling as it sank to sleep. It soothed my soul; it was the very breath of peace. | Please generate a paragraph:
1) with exactly 5 sentences;
2) with sentences having the last word to be 'about', 'there', 'brush', 'sleep', 'peace', respectively. | [5, ["about", "there", "brush", "sleep", "peace"]] | {"Title": ["The Clammer and the Submarine"], "Author": ["William John Hopkins"], "gd-path": "394/39456.txt"} | All | <collie.constraints.All object at 0x1693fd7e0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 1,804 |
wiki_c14 | In 1935, Parliament passed the Government of India Act 1935, designed to give Indian provinces greater self-rule and set up a national federal structure. The reservation of seats for the Depressed Classes was incorporated into the act, which came into force in 1937. The Act introduced the term "Scheduled Castes", defining the group as "such castes, parts of groups within castes, which appear to His Majesty in Council to correspond to the classes of persons formerly known as the 'Depressed Classes', as His Majesty in Council may prefer". This discretionary definition was clarified in The Government of India (Scheduled Castes) Order, 1936, which contained a list (or Schedule) of castes throughout the British-administered provinces.
After independence the Constituent Assembly continued the prevailing definition of Scheduled Castes and Tribes, giving (via articles 341 and 342) the president of India and governors of the states a mandate to compile a full listing of castes and tribes (with the power to edit it later, as required). The complete list of castes and tribes was made via two orders: The Constitution (Scheduled Castes) Order, 1950 and The Constitution (Scheduled Tribes) Order, 1950, respectively. Furthermore, independent India's quest for inclusivity was incident through the appointment of B. R. Ambedkar as the chair of the drafting committee for the Constitution. Ambedkar was a scheduled caste constitutional lawyer, a member of the low caste.
The Constitution provides a three-pronged strategy to improve the situation of SCs and STs: Protective arrangements: Such measures as are required to enforce equality, to provide punitive measures for transgressions, and to eliminate established practices that perpetuate inequities. A number of laws were enacted to implement the provisions in the Constitution. Examples of such laws include the Untouchability Practices Act, 1955, Scheduled Caste and Scheduled Tribe (Prevention of Atrocities) Act, 1989, The Employment of Manual Scavengers and Construction of Dry Latrines (Prohibition) Act, 1993, etc. Despite legislation, social discrimination and atrocities against the backward castes continued to persist. Affirmative action: Provide positive treatment in allotment of jobs and access to higher education as a means to accelerate the integration of the SCs and STs with mainstream society. Affirmative action is popularly known as reservation. Article 16 of the Constitution states "nothing in this article shall prevent the State from making any provisions for the reservation of appointments or posts in favor of any backward class of citizens, which, in the opinion of the state, is not adequately represented in the services under the State". The Supreme Court upheld the legality of affirmative action and the Mandal Commission (a report that recommended that affirmative action not only apply to the Untouchables, but the other backward castes as well). However, the reservations from affirmative action were only allotted in the public sector, not the private. Development: Provide resources and benefits to bridge the socioeconomic gap between the SCs and STs and other communities. Legislation to improve the socioeconomic situation of SCs and STs because twenty-seven percent of SC and thirty-seven percent of ST households lived below the poverty line, compared to the mere eleven percent among other households. Additionally, the backward castes were poorer than other groups in Indian society, and they suffered from higher morbidity and mortality rates. | Please generate a passage:
1) with paragraphs having the last sentence to be 'This discretionary definition was clarified in The Government of India (Scheduled Castes) Order, 1936, which contained a list (or Schedule) of castes throughout the British-administered provinces', 'Ambedkar was a scheduled caste constitutional lawyer, a member of the low caste', 'Additionally, the backward castes were poorer than other groups in Indian society, and they suffered from higher morbidity and mortality rates', respectively;
2) with all paragraphs having at least 2 sentences. | [["This discretionary definition was clarified in The Government of India (Scheduled Castes) Order, 1936, which contained a list (or Schedule) of castes throughout the British-administered provinces", "Ambedkar was a scheduled caste constitutional lawyer, a member of the low caste", "Additionally, the backward castes were poorer than other groups in Indian society, and they suffered from higher morbidity and mortality rates"], 2] | {"index": 445824, "title": "Scheduled Castes and Scheduled Tribes"} | All | <collie.constraints.All object at 0x168defee0> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 1,805 |
wiki_c09 | One of many immigrant associations in Spain to come out against the plan, president of ATIME Kamal Rahmouni said, "Until recently, while the economy was booming, immigrants were the solution." "Now it's as if they're saying immigrants are the problem. The plan tells society that immigrants are responsible for the economic crisis." | 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": 1216839, "title": "Asociaci\u00f3n de Trabajadores Inmigrantes Marroqu\u00edes en Espa\u00f1a"} | All | <collie.constraints.All object at 0x1694651e0> | (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)
)) | 1,806 |
wiki_c12 | In August 2015, Australians in the Wesleyan tradition celebrated the 200th anniversary of the arrival of Rev Samuel Leigh, Australia’s first Methodist minister, with a celebration service at the Wesley Centre in Sydney. To mark the occasion Garner published a biography, Samuel Leigh: The first Methodist missionary to Australia and New Zealand. “The legacy Samuel Leigh has left is not just about the churches and ministries he instigated or set up; it is as much about his sacrificial commitment to the work of God, his determination to continue in his ministry despite heartbreaking obstacles, and his humble and enduring faith,” Garner said. | Please generate a paragraph:
1) with exactly 3 sentences;
2) with sentences having the last word to be 'Sydney', 'Zealand', 'said', respectively. | [3, ["Sydney", "Zealand", "said"]] | {"index": 3713523, "title": "Keith Vincent Garner"} | All | <collie.constraints.All object at 0x16953e7a0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 1,807 |
guten_c05 | We have just seen that medical practice in the Babylonian world was strangely under the cloud of superstition. | Please generate a sentence:
1) with exactly 18 words;
2) with the 4th, 8th, 11th words to be 'seen', 'in', 'world' respectively. | [18, ["seen", "in", "world"]] | {"Title": ["A History of Science \u2014 Volume 1"], "Author": ["Edward Huntington Williams", "Henry Smith Williams"], "gd-path": "017/01705.txt"} | All | <collie.constraints.All object at 0x169745e40> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 1,808 |
english_c01 | subindicate | Please generate a word with at least 11 characters. | [11] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 1,809 |
wiki_c14 | A series of springs feed the small stream that flows through the park, and its waterfalls flow across deposits of tufa that precipitated from the spring water. The springs and stream have consistently high year-round flow rates, which is probably why the old creamery and the fish hatchery were established there.
The spring water comes primarily from a layer of gravel, or sand and gravel, that was deposited by streams that flowed prior to the latest Wisconsin glaciation. The water issues from the contact between those sediments and the underlying bedrock, which is part of the late Paleocene Paskapoo Formation.
When the spring water reaches the surface, dissolved carbon dioxide is released and calcium carbonate precipitates, forming the tufa. The tufa tends to coat plant material such as mosses, twigs, and logs. Casts of plant material can sometimes be seen in the tufa if one looks closely.
The spring-fed stream flows into Big Hill Creek at the east end of the park, which in turn flows into the Bow River at Cochrane. The valley of Big Hill Creek was carved by meltwater flowing from retreating glaciers at the end of the Wisconsin glaciation. Big Hill Creek is now an underfit stream; that is, its current flow rate is not high enough to have carved the valley through which it flows. | Please generate a passage:
1) with paragraphs having the last sentence to be 'The springs and stream have consistently high year-round flow rates, which is probably why the old creamery and the fish hatchery were established there', 'The water issues from the contact between those sediments and the underlying bedrock, which is part of the late Paleocene Paskapoo Formation', 'Casts of plant material can sometimes be seen in the tufa if one looks closely', 'Big Hill Creek is now an underfit stream; that is, its current flow rate is not high enough to have carved the valley through which it flows', respectively;
2) with all paragraphs having at least 2 sentences. | [["The springs and stream have consistently high year-round flow rates, which is probably why the old creamery and the fish hatchery were established there", "The water issues from the contact between those sediments and the underlying bedrock, which is part of the late Paleocene Paskapoo Formation", "Casts of plant material can sometimes be seen in the tufa if one looks closely", "Big Hill Creek is now an underfit stream; that is, its current flow rate is not high enough to have carved the valley through which it flows"], 2] | {"index": 653421, "title": "Big Hill Springs Provincial Park"} | All | <collie.constraints.All object at 0x168dee740> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 1,810 |
guten_c07 | "It sounds wrong," she commented. | Please generate a sentence containing the word 'sounds', 'commented', 'she'. | ["sounds", "commented", "she"] | {"Title": ["The Three Black Pennys\tA Novel"], "Author": ["Joseph Hergesheimer"], "gd-path": "151/15135.txt"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 1,811 |
guten_c05 | I unbutton my coat, and inhale deep breaths of air laden with the fragrance of the sun-lands. | Please generate a sentence:
1) with exactly 17 words;
2) with the 4th, 8th, 11th words to be 'coat', 'breaths', 'laden' respectively. | [17, ["coat", "breaths", "laden"]] | {"Title": ["With the World's Great Travellers, Volume 3"], "gd-path": "356/35632.txt"} | All | <collie.constraints.All object at 0x16976ace0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 1,812 |
ccnews_c04 | “We not only changed the culture in the dugout, but changed the culture in the front office.’’ | Please generate a sentence with exactly 94 characters. Include whitespace into your character count. | 94 | {"index": 306688, "title": "How the Los Angeles Dodgers became MLB's unstoppable force"} | Constraint | Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
) | '' | 1,813 |
wiki_c10 | Ivanova won four singles and one doubles titles on the ITF tour in her career. On 17 June 1996, she reached her best singles ranking of world number 351. On 7 October 1996, she peaked at world number 627 in the doubles rankings. | 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 15 words. | [3, 14, 15] | {"index": 5359428, "title": "Olga Ivanova (tennis)"} | All | <collie.constraints.All object at 0x1694b7b80> | (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)
)) | 1,814 |
wiki_c05 | The General Board makes policy for the denomination's national agencies. | Please generate a sentence:
1) with exactly 11 words;
2) with the 4th, 8th, 11th words to be 'makes', 'denomination', 'agencies' respectively. | [11, ["makes", "denomination", "agencies"]] | {"index": 116297, "title": "American Baptist Churches USA"} | All | <collie.constraints.All object at 0x169894370> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 1,815 |
english_c02 | chalcolithic | Please generate a word:
1) with exactly 12 characters;
2) with the 4th, 8th, 11th characters to be 'l', 'i', 'i' respectively. | [12, ["l", "i", "i"]] | {} | All | <collie.constraints.All object at 0x16959c3a0> | (Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 1,816 |
ccnews_c06a | As you can see, you have setup a list and a map to use for your mixin. | Please generate a sentence:
1) with at least 17 words;
2) with all words having at most 5 characters. | [17, 5] | {"index": 588068, "title": "Sass Basics: The Sass Mixin Directive"} | All | <collie.constraints.All object at 0x1692876a0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 1,817 |
ccnews_c06a | “That’s all I really care about. | Please generate a sentence:
1) with at least 9 words;
2) with all words having at most 6 characters. | [9, 6] | {"index": 490465, "title": "John Dorsey still won't say who he's taking No. 1"} | All | <collie.constraints.All object at 0x1692856c0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 1,818 |
guten_c05 | he asked, gently, his eyes still fixed on the salt-water sore. | Please generate a sentence:
1) with exactly 11 words;
2) with the 4th, 8th, 11th words to be 'his', 'on', 'sore' respectively. | [11, ["his", "on", "sore"]] | {"Title": ["Every Man for Himself"], "Author": ["Norman Duncan"], "gd-path": "369/36998.txt"} | All | <collie.constraints.All object at 0x1697465c0> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 1,819 |
guten_c09 | Every English house has its fence, its iron stockade and its doorway bridge. To observe the additional fortifications which every Englishman invents for the greater security of his house is quite amusing. It is exactly as if Louis Napoleon was expected to effect a landing daily between luncheon and dinner, while every individual Englishman is prepared to defend his household gods to the last drop of porter. | Please generate a paragraph:
1) with exactly 3 sentences;
2) not containing the word 'there';
3) not containing the word 'this';
4) not containing the word 'in'. | [3, "there", "this", "in"] | {"Title": ["Saunterings in and about London"], "Author": ["Max Schlesinger"], "gd-path": "465/46571.txt"} | All | <collie.constraints.All object at 0x169356ec0> | (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)
)) | 1,820 |
guten_c07 | Sirach v. 11; iv. | Please generate a sentence containing the word 'iv', 'Sirach', 'v'. | ["iv", "Sirach", "v"] | {"Title": ["Who Wrote the Bible? : a Book for the People"], "Author": ["Washington Gladden"], "gd-path": "069/06928.txt"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 1,821 |
wiki_c05 | After the sale of the campus, the college intends to relocate the memorial to an appropriate location. | Please generate a sentence:
1) with exactly 17 words;
2) with the 4th, 8th, 11th words to be 'of', 'college', 'relocate' respectively. | [17, ["of", "college", "relocate"]] | {"index": 723835, "title": "National Labor College"} | All | <collie.constraints.All object at 0x169896d70> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 1,822 |
guten_c10 | Mr. Schwartz entered, and at Mr. Ludolph's bidding looked at the living and the painted girl. In his slow, sententious tones, one could not help feeling that he was telling just how things appeared to him. The young lady stood beside the painting and unconsciously assumed the expression of her fair shadow. Indeed it seemed an expression but too habitual to her face. | 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 20 words. | [4, 11, 20] | {"Title": ["Barriers Burned Away"], "Author": ["Edward Payson Roe"], "gd-path": "066/06627.txt"} | All | <collie.constraints.All object at 0x169398e80> | (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)
)) | 1,823 |
guten_c12 | * Burnet, vol. ii. p. 331, 332, etc. Godwin, p. 352. | Please generate a paragraph:
1) with exactly 4 sentences;
2) with sentences having the last word to be 'vol', 'ii', 'etc', '352', respectively. | [4, ["vol", "ii", "etc", "352"]] | {"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 0x1693e2320> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 1,824 |
ccnews_c06a | I think every young child in this city should take a close look at what happens on Sunday and watch Brandin, and get to know Brandin's story," said Brian Gray, Cooks' high school coach. | Please generate a sentence:
1) with at least 36 words;
2) with all words having at most 7 characters. | [36, 7] | {"index": 610909, "title": "Brandin Cooks, Patriots Wide Receiver and Stockton Native, Heads to Super Bowl LII"} | All | <collie.constraints.All object at 0x169284b80> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 1,825 |
guten_c11 | In an old-fashioned chair, above which hung suspended a dirty and dilapidated crocodile, the wizard sat, and gave audience to the stray visitors whose desire to peer into futurity overmastered the fear with which the lonely cottage was regarded. A quaint-looking old man was Jeremy, with his hungry-looking eyes and long white beard; and, as with bony fingers he turned over the leaves of the large book, there was much in his appearance likely to give the superstitious and ignorant customers overwhelming ideas of his wondrous wisdom. The 'make up' was creditable to Jeremy, for though he succeeded in deceiving others with his assumption of supernatural knowledge, he himself did not believe in those powers whose aid he so frequently professed to invoke on behalf of his clients. | Please generate a paragraph:
1) with at least 3 sentences;
2) with all sentences having at least 39 words. | [3, 39] | {"Title": ["Goblin Tales of Lancashire"], "Author": ["James Bowker"], "gd-path": "397/39712.txt"} | All | <collie.constraints.All object at 0x1693cb280> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 1,826 |
ccnews_c10 | My abba [father] was arrested for distributing sweets at Pakistan’s birth. He was secretary, Muslim League, Bulandshahr, and he remained in jail for two years. From my childhood, I became familiar with the meaning of jail. | 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 14 words. | [3, 11, 14] | {"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 0x16969da80> | (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)
)) | 1,827 |
wiki_c07 | Lucía was born in Seville, Andalusia. | Please generate a sentence containing the word 'was', 'born', 'Andalusia'. | ["was", "born", "Andalusia"] | {"index": 2910607, "title": "Luc\u00eda (singer)"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 1,828 |
wiki_c09 | As the extraterrestrials finally emerge from the mothership, they select Roy to join them on their travels. As Roy enters the mothership, one of the extraterrestrials pauses for a few moments with the humans. Lacombe uses Curwen hand signs that correspond to the five-note extraterrestrial tonal phrase. The extraterrestrial replies with the same gestures, smiles, and returns to its ship, which ascends into space. | 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": 85108, "title": "Close Encounters of the Third Kind"} | All | <collie.constraints.All object at 0x1694a6260> | (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)
)) | 1,829 |
wiki_c12 | The KRVN network is unique in that it is owned and operated by a cooperative of farmers and ranchers, the Nebraska Rural Radio Association. It was founded in 1948, opening its first station, KRVN, in 1951. It was originally located at 1010 AM, broadcasting with 10,000 watts. In 1972, it moved to its current frequency and boosted its transmitting power to 50,000 watts; the lower dial position and stronger transmitter enabled it to serve more of central Nebraska's farmers. | Please generate a paragraph:
1) with exactly 4 sentences;
2) with sentences having the last word to be 'Association', '1951', 'watts', 'farmers', respectively. | [4, ["Association", "1951", "watts", "farmers"]] | {"index": 510074, "title": "KRVN (AM)"} | All | <collie.constraints.All object at 0x169521a80> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 1,830 |
ccnews_c05 | It looked like he was in control, didn’t ever panic.’’ | Please generate a sentence:
1) with exactly 14 words;
2) with the 4th, 8th, 11th words to be 'he', 'didn', 'ever' respectively. | [14, ["he", "didn", "ever"]] | {"index": 165000, "title": "Borucki delivers hope for Blue Jays - the wins will come"} | All | <collie.constraints.All object at 0x16922c160> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 1,831 |
wiki_c12 | In sociology, racialization or ethnicization is a political process of ascribing ethnic or racial identities to a relationship, social practice, or group that did not identify itself as such. Racialization or ethnicization often arises out of the interaction of a group with a group that it dominates and ascribes a racial identity for the purpose of continued domination and social exclusion; over time, the racialized and ethnicized group develop the society enforced construct that races are real, different and unequal in ways that matter to economic, political and social life. These processes have been common throughout the history of imperialism, nationalism, racial and ethnic hierarchies. | Please generate a paragraph:
1) with exactly 3 sentences;
2) with sentences having the last word to be 'such', 'life', 'hierarchies', respectively. | [3, ["such", "life", "hierarchies"]] | {"index": 902185, "title": "Racialization"} | All | <collie.constraints.All object at 0x169555c60> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 1,832 |
guten_c10 | "That is why--" again Dalgard indicated the mermen. "For them this is the natural means of communication. They will pick up your reaching thought, amplify it with their power, beam it north. Since your friend deals with matters of communication, let us hope that he will be sensitive to this method." | Please generate a paragraph:
1) with exactly 4 sentences;
2) with all sentences having at least 10 words;
3) with all sentences having at most 20 words. | [4, 10, 20] | {"Title": ["Star Born"], "Author": ["Andre Norton"], "gd-path": "184/18458.txt"} | All | <collie.constraints.All object at 0x16939a980> | (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)
)) | 1,833 |
english_c01 | roundtripping | Please generate a word with at least 13 characters. | [13] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 1,834 |
guten_c12 | He made an impatient gesture. 'We won't discuss that. Are you not the man I refer to? Say yes or no.' | Please generate a paragraph:
1) with exactly 4 sentences;
2) with sentences having the last word to be 'gesture', 'that', 'to', 'no', respectively. | [4, ["gesture", "that", "to", "no"]] | {"Title": ["The Chevalier d'Auriac"], "Author": ["S. (Sidney) Levett Yeats"], "gd-path": "383/38323.txt"} | All | <collie.constraints.All object at 0x1693fdd80> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 1,835 |
ccnews_c06a | It’s funny what stays with you. | Please generate a sentence:
1) with at least 8 words;
2) with all words having at most 5 characters. | [8, 5] | {"index": 651454, "title": "From young girl to young woman \u2014 14 lost years for Regina's lost child"} | All | <collie.constraints.All object at 0x169287e20> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 1,836 |
english_c01 | ichthyophagist | Please generate a word with at least 14 characters. | [14] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 1,837 |
wiki_c05 | The area contains many condominiums, seasonal vacation homes, and hunting cabins. | Please generate a sentence:
1) with exactly 11 words;
2) with the 4th, 8th, 11th words to be 'many', 'homes', 'cabins' respectively. | [11, ["many", "homes", "cabins"]] | {"index": 81854, "title": "Eagle River, Wisconsin"} | All | <collie.constraints.All object at 0x169857430> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 1,838 |
guten_c10 | Scientists would have us believe that the action of the vocal mechanism is the same in all voices. This claim must necessarily be made or there would be no such thing as scientific production. But of all the vocal vagaries advanced this has the least foundation in fact. | 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 18 words. | [3, 14, 18] | {"Title": ["The Head Voice and Other Problems\tPractical Talks on Singing"], "Author": ["D. A. (David Alva) Clippinger"], "gd-path": "194/19493.txt"} | All | <collie.constraints.All object at 0x16937fc40> | (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)
)) | 1,839 |
wiki_c07 | The community was intended to be named after Dee Taylor, the daughter of two early settlers; however, the U.S. Post Office Department changed the name to "Bee". | Please generate a sentence containing the word 'The', 'to', 'be'. | ["The", "to", "be"] | {"index": 5226270, "title": "Bee, Oklahoma"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 1,840 |
ccnews_c10 | Shares of Hugo Boss AG (ETR:BOSS) opened at 75.829 on Thursday. The company has a 50 day moving average of €73.06 and a 200-day moving average of €68.50. Hugo Boss AG has a 12-month low of €47.91 and a 12-month high of €77.20. The firm has a market cap of €5.27 billion and a PE ratio of 20.965. | Please generate a paragraph:
1) with exactly 4 sentences;
2) with all sentences having at least 12 words;
3) with all sentences having at most 17 words. | [4, 12, 17] | {"index": 656625, "title": "Hugo Boss AG (BOSS) PT Set at \u20ac81.00 by Berenberg Bank"} | All | <collie.constraints.All object at 0x16968b1c0> | (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)
)) | 1,841 |
english_c01 | chloritisations | Please generate a word with at least 15 characters. | [15] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 1,842 |
guten_c05 | And the roadside signs--all at once they were everywhere. | Please generate a sentence:
1) with exactly 11 words;
2) with the 4th, 8th, 11th words to be 'signs', 'once', 'everywhere' respectively. | [11, ["signs", "once", "everywhere"]] | {"Title": ["A World Apart"], "Author": ["Sam Merwin"], "gd-path": "312/31215.txt"} | All | <collie.constraints.All object at 0x169746860> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 1,843 |
wiki_c10 | Palaia Fokaia is located on the Saronic Gulf coast, in the southeastern part of the Attica peninsula. There are low mountains south and east of the town. It lies 2 km south of Anavyssos, 9 km west of Lavrio and 36 km southeast of Athens city centre. Greek National Road 91 (Athens - Sounio) passes through the town. | Please generate a paragraph:
1) with exactly 4 sentences;
2) with all sentences having at least 10 words;
3) with all sentences having at most 20 words. | [4, 10, 20] | {"index": 711380, "title": "Palaia Fokaia"} | All | <collie.constraints.All object at 0x1694d2680> | (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)
)) | 1,844 |
english_c02 | coproductions | Please generate a word:
1) with exactly 13 characters;
2) with the 4th, 8th, 11th characters to be 'r', 'c', 'o' respectively. | [13, ["r", "c", "o"]] | {} | All | <collie.constraints.All object at 0x1695ce440> | (Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 1,845 |
guten_c07 | So the men lounged about on the grass for more than an hour. | Please generate a sentence containing the word 'than', 'on', 'an'. | ["than", "on", "an"] | {"Title": ["The Adventures of a Boy Reporter"], "Author": ["Harry Steele Morrison"], "gd-path": "049/04990.txt"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 1,846 |
english_c01 | dulciloquy | Please generate a word with at least 10 characters. | [10] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 1,847 |
guten_c10 | But Maurice had left him, and Michael strolled down to the lodge to see if there were any letters. Shadbolt handed him an invitation to dinner from the Warden. As he opened it, Lonsdale came up with a torn replica of his own. | 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 19 words. | [3, 10, 19] | {"Title": ["Sinister Street, vol. 2"], "Author": ["Compton MacKenzie"], "gd-path": "337/33798.txt"} | All | <collie.constraints.All object at 0x16937ec80> | (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)
)) | 1,848 |
wiki_c09 | Mark Thomas Ciardi (pronounced CHAR-dee; born August 19, 1961) is an American film producer and former Major League Baseball pitcher. He is currently the Founder and CEO of Apex Entertainment. Mark has a rich breadth of experience as a Film Executive, and Producer. Apex Entertainment is an independent content production firm that also serves as a financier for media properties. Prior to Apex, Ciardi was the co-founder of Mayhem Pictures that had an overall first look deal with Walt Disney Studios for twelve years. At Mayhem, Ciardi produced several sports films for Walt Disney Pictures including The Rookie, Miracle, Invincible, The Game Plan, Secretariat, Million Dollar Arm, McFarland, USA, and Safety. Awaiting release is the worldwide best-selling novel, Fallen. He also produced the Emmy Award winning, ESPN 30 for 30 documentary titled Big Shot. | 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 'in'. | [8, "there", "this", "in"] | {"index": 3320819, "title": "Mark Ciardi"} | All | <collie.constraints.All object at 0x1694821a0> | (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)
)) | 1,849 |
english_c01 | anophelines | Please generate a word with at least 11 characters. | [11] | {} | Constraint | Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(>=),
Reduction(None)
) | '' | 1,850 |
ccnews_c09 | OUT! That's a Nagarkoti special. Right at the bottom of the off stump. Aa perfect yorker, something we have seen him do this tournament. Evans had no answer, swayed his bat in hope and nothing more. Australia lose their 8th. | Please generate a paragraph:
1) with exactly 6 sentences;
2) not containing the word 'there';
3) not containing the word 'to';
4) not containing the word 'is'. | [6, "there", "to", "is"] | {"index": 195734, "title": "LIVE Cricket Score, ICC Under-19 World Cup Final 2018, India vs Australia: Shubman Gill dismissed for 30"} | All | <collie.constraints.All object at 0x16960bf40> | (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)
)) | 1,851 |
ccnews_c06a | “We did it once and we can do it a second time. | Please generate a sentence:
1) with at least 13 words;
2) with all words having at most 6 characters. | [13, 6] | {"index": 381558, "title": "Neymar confident of leading Barcelona to second miracle comeback"} | All | <collie.constraints.All object at 0x169284400> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 1,852 |
ccnews_c06a | “There was a song where we thought the trumpet sound was not right, and we managed to find a track that was better. | Please generate a sentence:
1) with at least 24 words;
2) with all words having at most 7 characters. | [24, 7] | {"index": 574715, "title": "Coldplay tribute in Selsey"} | All | <collie.constraints.All object at 0x169287880> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 1,853 |
wiki_c07 | The mean annual low temperature is and high is . | Please generate a sentence containing the word 'and', 'low', 'The'. | ["and", "low", "The"] | {"index": 4257474, "title": "Appalachian temperate rainforest"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 1,854 |
ccnews_c07 | She donned high boots and waded through the water to help others, and spotted people in New Road, mopping their kitchens. | Please generate a sentence containing the word 'their', 'high', 'others'. | ["their", "high", "others"] | {"index": 413840, "title": "VIDEO: Community unites in aftermath of flash floods"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 1,855 |
ccnews_c04 | It shares a northern border with Mali, which has long battled Islamic extremists. | Please generate a sentence with exactly 81 characters. Include whitespace into your character count. | 81 | {"index": 9079, "title": "18 dead in suspected jihadist attack on Burkina Faso eatery"} | Constraint | Constraint(
None,
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
) | '' | 1,856 |
wiki_c08 | Dabinyaba was recruited by Besta PNG United, the PNGFA-sanctioned development team, ahead of the 2010–11 season, with the side finishing fourth in the regular season table. Dabinyaba was then selected to represent the Lae Football Association in the 2011 Besta Cup, which the side went on to win. | Please generate a paragraph with all sentences having the 1st word to be 'Dabinyaba'. | "Dabinyaba" | {"index": 5021949, "title": "Nigel Dabinyaba"} | Constraint | Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(0))),
Relation(==),
Reduction(all)
) | '' | 1,857 |
wiki_c14 | The Hercules Gas engine company was a United States-based company which first produced buggies. It later was one of the top producers of gasoline engines, including to power cement mixers.
The company was founded in 1902, in Cincinnati, Ohio. Before the company ceased operations in 1934 during the Great Depression, it was one of the top producers of gas engines.
Hercules produced engines to power cement mixers of the Jaeger Machine Company of Columbus, Ohio. Gas engines manufactured by the Hercules Engine Company were branded with the name "Jaeger". | Please generate a passage:
1) with paragraphs having the last sentence to be 'It later was one of the top producers of gasoline engines, including to power cement mixers', 'Before the company ceased operations in 1934 during the Great Depression, it was one of the top producers of gas engines', 'Gas engines manufactured by the Hercules Engine Company were branded with the name "Jaeger"', respectively;
2) with all paragraphs having at least 2 sentences. | [["It later was one of the top producers of gasoline engines, including to power cement mixers", "Before the company ceased operations in 1934 during the Great Depression, it was one of the top producers of gas engines", "Gas engines manufactured by the Hercules Engine Company were branded with the name \"Jaeger\""], 2] | {"index": 2875499, "title": "Hercules Gas Engine Company"} | All | <collie.constraints.All object at 0x168dee620> | (Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
), Constraint(
InputLevel(paragraph),
TargetLevel(sentence),
Transformation(ForEach(Count())),
Relation(>=),
Reduction(all)
)) | 1,858 |
ccnews_c05 | Awoke to an ocean liner’s horn from Sydney harbour. | Please generate a sentence:
1) with exactly 11 words;
2) with the 4th, 8th, 11th words to be 'ocean', 'horn', 'harbour' respectively. | [11, ["ocean", "horn", "harbour"]] | {"index": 153172, "title": "Flights delayed as fog covers Sydney"} | All | <collie.constraints.All object at 0x16926a740> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 1,859 |
guten_c12 | The purple splendor of the wisteria recalls the garden that I always entered with a fearful joy, for here a French gardener reigned absolute, and the flowers might be looked at, but not pulled. How different from those wild gardens of the neighboring woods where we children roamed at will, shouting rapturously over the finding of a bed of scentless blue violets or delicate anemones that withered and were thrown away before we reached home,--an allegory, alas! of our later lives. | Please generate a paragraph:
1) with exactly 3 sentences;
2) with sentences having the last word to be 'pulled', 'alas', 'lives', respectively. | [3, ["pulled", "alas", "lives"]] | {"Title": ["Aunt Jane of Kentucky"], "Author": ["Eliza Calvert Hall"], "gd-path": "267/26728.txt"} | All | <collie.constraints.All object at 0x1693fe320> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 1,860 |
wiki_c05 | Lorenzo Filiasi (25 March 1878, Naples - 30 July 1963, Rome) was an Italian composer. | Please generate a sentence:
1) with exactly 14 words;
2) with the 4th, 8th, 11th words to be 'March', 'July', 'was' respectively. | [14, ["March", "July", "was"]] | {"index": 3019668, "title": "Lorenzo Filiasi"} | All | <collie.constraints.All object at 0x169896050> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 1,861 |
english_c02 | detestableness | Please generate a word:
1) with exactly 14 characters;
2) with the 4th, 8th, 11th characters to be 'e', 'b', 'n' respectively. | [14, ["e", "b", "n"]] | {} | All | <collie.constraints.All object at 0x1695b6500> | (Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(character),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 1,862 |
wiki_c09 | Altmayer had reported that work had begun on defences, civilian labour had been recruited and troops had arrived to begin work, despite a lack of civil engineering machinery. Churchill visited France for the last time on 13 June, met Reynaud and approved the project. Brook had visited the 1st Canadian Division in England to give the gist of the plan and met Weygand and Georges at Briare on 14 June. It was agreed that the plan was futile but the will of the civilian leadership must be respected and a joint agreement was signed. Brook telephoned Dill in London to find that no agreement had been made with the French and after checking called with the news that "Mr. Churchill knew nothing about the Brittany project". Churchill was of the view that the new corps forming in France should stay, at least until the final French collapse and then return through the nearest port. Without the support of the 52nd Division on the left flank, the Tenth Army was cut off from Brittany, when two German divisions got into the peninsula first and forced the French line of retreat south to the Loire. French troops already in the area were able to join the main French force, after the Canadians had departed for England. | 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": 125340, "title": "Operation Cycle"} | All | <collie.constraints.All object at 0x169481300> | (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)
)) | 1,863 |
wiki_c12 | "A Little Bit" is a song recorded by American recording artist Jessica Simpson. It was written by Kara DioGuardi, Steve Morales and David Siegel, and was produced by Morales along with Ric Wake. The song was released as the second and final single from Simpson's second studio album Irresistible (2001), on October 29, 2001, through Columbia Records. Musically, the song is a mid-tempo dance-pop song and the lyrics speak about the protagonist wanting changes in a relationship she is in. | Please generate a paragraph:
1) with exactly 4 sentences;
2) with sentences having the last word to be 'Simpson', 'Wake', 'Records', 'in', respectively. | [4, ["Simpson", "Wake", "Records", "in"]] | {"index": 474573, "title": "A Little Bit"} | All | <collie.constraints.All object at 0x1695216c0> | (Constraint(
InputLevel(None),
TargetLevel(sentence),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(sentence),
TargetLevel(word),
Transformation(ForEach(Position(-1))),
Relation(==),
Reduction(all)
)) | 1,864 |
guten_c09 | BAKER, R. H. 1956. The Mammals of Coahuila. Univ. Kansas Publ., Mus. Nat. Hist., 9:125-335, 75 figs. in text, June 15. | Please generate a paragraph:
1) with exactly 7 sentences;
2) not containing the word 'be';
3) not containing the word 'to';
4) not containing the word 'and'. | [7, "be", "to", "and"] | {"Title": ["Extensions of Known Ranges of Mexican Bats"], "Author": ["Sydney Anderson"], "gd-path": "309/30942.txt"} | All | <collie.constraints.All object at 0x169306b60> | (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)
)) | 1,865 |
guten_c09 | Adam and Oolanga both had pistols; Lady Arabella, who had not one, was probably the most ready of them all in the theory of shooting, but that being impossible, she made her effort in another way. Gliding forward, she tried to seize the African; but he eluded her grasp, just missing, in doing so, falling into the mysterious hole. As he swayed back to firm foothold, he turned his own gun on her and shot. Instinctively Adam leaped at his assailant; clutching at each other, they tottered on the very brink. | 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"] | {"Title": ["Lair of the White Worm"], "Author": ["Bram Stoker"], "gd-path": "011/01188.txt"} | All | <collie.constraints.All object at 0x1693573a0> | (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)
)) | 1,866 |
guten_c05 | Becky needs she should see her mamma, und I guess I needs my mamma too." | Please generate a sentence:
1) with exactly 16 words;
2) with the 4th, 8th, 11th words to be 'should', 'und', 'I' respectively. | [16, ["should", "und", "I"]] | {"Title": ["Little Citizens"], "Author": ["Myra Kelly"], "gd-path": "066/06662.txt"} | All | <collie.constraints.All object at 0x16976a500> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 1,867 |
wiki_c09 | Amitabh Bachchan as Major General Amarjeet Singh (Defence Adviser of India after retirement) Akshay Kumar as Major Rajeev Singh After Promotion Colonel Rajeev Singh Bobby Deol as Capt. Vikramjeet Singh/ Capt. Kunaljeet Singh After Promotion Major Kunaljeet Singh Divya Khosla Kumar as Shweta Bhansali / Shweta Rajeev Singh Sandali Sinha as Captain Dr Sakshi Pant Nagma as Aarti Vikramjeet Singh Utkarsh Sharma as Kunal / Vikramjeet Singh (Childhood) Kapil Sharma as Captain Trilok (deceased in war) Danny Denzongpa as Col. Ashfaque Khan Ashutosh Rana as Sikander Khan Govind Namdeo as Maqsood Butt Vivek Shauq Surendra Pal Aarti Chabria as Trilok's wife Arif Zakaria Rajesh Vivek Vishwajeet Pradhan | 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": 1338239, "title": "Ab Tumhare Hawale Watan Saathiyo"} | All | <collie.constraints.All object at 0x169434400> | (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)
)) | 1,868 |
guten_c05 | The efficiency of this doctrine as an instrument of agitation is obvious. | Please generate a sentence:
1) with exactly 12 words;
2) with the 4th, 8th, 11th words to be 'this', 'instrument', 'is' respectively. | [12, ["this", "instrument", "is"]] | {"Title": ["A Critical Examination of Socialism"], "Author": ["W. H. (William Hurrell) Mallock"], "gd-path": "174/17416.txt"} | All | <collie.constraints.All object at 0x169789f00> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(==),
Reduction(None)
), Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Position([3, 7, 10])),
Relation(==),
Reduction(None)
)) | 1,869 |
guten_c06a | It tears a man's nerves to atoms. | Please generate a sentence:
1) with at least 8 words;
2) with all words having at most 6 characters. | [8, 6] | {"Title": ["The Riddle of the Frozen Flame"], "Author": ["Mary E. Hanshew", "Thomas W. Hanshew"], "gd-path": "171/17180.txt"} | All | <collie.constraints.All object at 0x1697cb580> | (Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(Count()),
Relation(>=),
Reduction(None)
), Constraint(
InputLevel(word),
TargetLevel(character),
Transformation(ForEach(Count())),
Relation(<=),
Reduction(all)
)) | 1,870 |
guten_c07 | For some time the Lords refused their concurrence, and it was only on a threat of the intervention of the army that they gave way. | Please generate a sentence containing the word 'refused', 'the', 'the'. | ["refused", "the", "the"] | {"Title": ["Oliver Cromwell"], "Author": ["Samuel Rawson Gardiner"], "gd-path": "450/45010.txt"} | Constraint | Constraint(
InputLevel(None),
TargetLevel(word),
Transformation(ForEach(...)),
Relation(in),
Reduction(None)
) | '' | 1,871 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.