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This task is about translating a given English language sentence to French.
Let me give you an example: How shall we inscribe intent on all the objects we create, on all the circumstances we create, on all the places we change?
The answer to this example can be: Comment devrions nous inscrire l'intention sur tous les objets que nous créons, sur toutes les circonstances que nous créons, sur tous les lieux que nous changeons ?
Here is why: This is a good example because the English sentence has been translated correctly to French.
OK. solve this:
I'm going to approach it head on.
Answer:
|
Je vais l'aborder de front.
| 8
|
NIv2
|
task1689_qed_amara_translation
|
fs_opt
|
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] |
This task is about translating a given English language sentence to Yoruba language.
One example is below.
Q: While you should not share legal advice to others based on course content, you will develop a high level of expertise upon completion of this course.
A: Bí ó ti jẹ́ wí pé o kò leè fún ẹnikẹ́ni nímọ̀ràn ajẹmófin lẹ́yìn tí o bùṣe nínú ẹ̀kọ́ inú ìdá yìí, wà á ní ìmọ̀ kíkún tí kò ní ẹlẹ́gbẹ́ bí o bá parí abala-ẹ̀kọ́ yìí.
Rationale: This is a good example because the English sentence has been translated correctly to Yoruba.
Q: So how did you come about all this wealth?
A:
|
Báwo ni o ṣe wá ní gbogbo owó yìí?
| 9
|
NIv2
|
task1685_menyo20k_translation
|
fs_opt
|
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] |
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Context : Arthur Lee Dixon FRS (27 November 1867 -- 20 February 1955) was a British mathematician and holder of the Waynflete Professorship of Pure Mathematics at the University of Oxford.
Answer : 20 February 1955
|
What year did Arthur Lee Dixon die in?
| 0
|
NIv2
|
task1326_qa_zre_question_generation_from_answer
|
zs_opt
|
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] |
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit; (c) it does not contain three repeating characters in a row. In one step you can: (1) Insert one character to password, (2) delete one character from password, or (3) replace one character of password with another character.
Ex Input:
password = mETJBO4HFLJ827a7H0
Ex Output:
0
Ex Input:
password = phAN!GDzVVoa0UG.q1KOw1MuvrbF6.jQ
Ex Output:
12
Ex Input:
password = t5Oo!NMkHyu8nWB!liFQ3vae
Ex Output:
|
4
| 1
|
NIv2
|
task956_leetcode_420_strong_password_check
|
fs_opt
|
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Q: In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Passage: Tennessee Colony was established in 1847 by settlers from Tennessee and Alabama, who named their settlement for one of their home states. The first settlers who settled in the community had the last names Shelton, Avant, Hank, and Seagler. The community's fertile soil and moist climate made it feasible to grow cotton, and several plantations were established, including the Jackson Plantation, which, at one time, was one of the largest plantations in East Texas. They were extremely successful. A post office was established at Tennessee Colony in 1852. Before the Civil War, as well as after, the community fell victim to racial tensions. Two white men from Mississippi named Cable and Wyrick were accused of plotting a slave uprising in 1860, in which they encouraged slaves to kill most of the community's white residents by poisoning the water supply in the settlement. They were tried and hanged soon after. The nearby city of Palestine had the community's first railroad built there. As of 1884 Tennessee Colony boasted a population of 200 and three churches, a steam-powered gristmill, and a cotton gin. As the community's businesses moved to the nearby city of Palestine, the community's population plummeted over the next few decades. There were a few grocers and cotton gins in the area, and it eventually received a telephone connection. It functioned as a small cultural port in the 20th century. The population declined to just 100 people by 1914, rose again to 300 in 1927, but again declined during the 1930s. In 1941 there were 150 people in Tennessee Colony. A total of 21,000 acres of land was purchased just southwest of the settlement by the Texas Department of Corrections in 1965, and the first medium security prison facility named the Coffield Unit was built in the community and held approximately 2,000 prisoners. It reached its population zenith of 400 by that year. Then the Beto Unit, the community's second prison, was finished in 1984. There were factories built for fabricating metal, as well as building concrete blocks and highway signs, in these prison facilities. It also had thriving agricultural and livestock operations. It had a steady population of 120 from the 1970s to 1990. It had a population of 300 in 2000. It currently has two historical markers, with one honoring the community, and the other commemorating the community's cemetery.
Link Information: Tennessee was admitted to the Union as the 16th state on June 1, 1796. Question: Of the states that had settlers help establish Tennessee Colony, which is the oldest?
A:
|
Answer: Tennessee
| 7
|
NIv2
|
task238_iirc_answer_from_passage_answer_generation
|
zs_opt
|
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] |
Detailed Instructions: A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
Problem:பிரிக்ஸ் ஒப்பந்த நிதி செயற்குழு கூட்டம் மார்ச் 17 முதல் 20 வரை (புவேனோஸ் எயர்ஸ்)
Solution:
|
ਬ੍ਰਿਕਸ ਬਾਂਡ ਫੰਡ (ਬੀਬੀਐੱਫ) ਦੇ ਵਰਕਿੰਗ ਗਰੁੱਪ ਦੀ ਮੀਟਿੰਗ - 17 ਤੋਂ 20 ਮਾਰਚ (ਬਿਊਨਸ ਆਇਰਸ)
| 8
|
NIv2
|
task1016_pib_translation_tamil_punjabi
|
zs_opt
|
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] |
Teacher:In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Teacher: Now, understand the problem? Solve this instance: Context: Pediatric patients with high-risk neuroblastoma (HR NB) often fail to respond to upfront intensive multimodal therapy. Tumor-acquired suppression of apoptosis contributes to therapy resistance. Many HR NB tumors depend on the anti-apoptotic protein Bcl-2 for survival, through Bcl-2 sequestration and inhibition of the pro-apoptotic protein, Bim. Bcl-2 dependent xenografts derived from aggressive human NB tumors are cured with a combination of cyclophosphamide and ABT-737, a Bcl-2/Bcl-XL/Bcl-w small molecule antagonist. The oral analogue to ABT-737, Navitoclax (ABT-263), clinically causes an immediate drop in peripheral platelet counts as mature platelets depend on Bcl-xL for survival. This led to the creation of a Bcl-2 selective inhibitor, ABT-199 (Venetoclax). A Phase I trial of ABT-199 in CLL showed remarkable antitumor activity and stable patient platelet counts. Given Bcl-XL does not play a role in HR NB survival, we hypothesized that ABT-199 would be equally potent against HR NB.', 'Cytotoxicity and apoptosis were measured in human derived NB cell lines exposed to ABT-199 combinations. Co-Immunoprecipitation evaluated Bim displacement from Bcl-2, following ABT-199. Murine xenografts of NB cell lines were grown and then exposed to a 14-day course of ABT-199 alone and with cyclophosphamide.', 'Bcl-2 dependent NB cell lines are exquisitely sensitive to ABT-199 (IC50 1.5-5 nM) in vitro, where Mcl-1 dependent NBs are completely resistant. Treatment with ABT-199 displaces Bim from Bcl-2 in NB to activate caspase 3, confirming the restoration of mitochondrial apoptosis. Murine xenografts of Mcl-1 and Bcl-2 dependent NBs were treated with a two-week course of ABT-199, cyclophosphamide, or ABT-199/cyclophosphamide combination. Mcl-1 dependent tumors did not respond to ABT-199 alone and showed no significant difference in time to tumor progression between chemotherapy alone or ABT-199/cyclophosphamide combination. In contrast, Bcl-2 dependent xenografts responded to ABT-199 alone and had sustained complete remission (CR) to the ABT-199/cyclophosphamide combination, with one recurrent tumor maintaining Bcl-2 dependence and obtaining a second CR after a second course of therapy.\Question: Does select Bcl-2 antagonism restore chemotherapy sensitivity in high-risk neuroblastoma?
Student:
|
HR NB patients are often thrombocytopenic at relapse, raising concerns for therapies like ABT-263 despite its HR NB tumor targeting potential. Our data confirms that Bcl-2 selective inhibitors like ABT-199 are equally potent in HR NB in vitro and in vivo and given their lack of platelet toxicity, should be translated into the clinic for HR NB.
| 6
|
NIv2
|
task849_pubmedqa_answer_generation
|
zs_opt
|
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] |
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
ACTION1: not wanting to talk to my mom ACTION2: not taking care of my roommate's dog when dog could have been in danger
|
no
| 0
|
NIv2
|
task508_scruples_dilemmas_more_ethical_isidentifiable
|
zs_opt
|
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] |
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Let me give you an example: CONTEXT: La historia de Japón (日本の歴史 o 日本史, Nihon no rekishi / Nihonshi?) es la sucesión de hechos acontecidos dentro del archipiélago japonés. Algunos de estos hechos aparecen aislados e influenciados por la naturaleza geográfica de Japón como nación insular, en tanto que otra serie de hechos, obedece a influencias foráneas como en el caso del Imperio chino, el cual definió su idioma, su escritura y, también, su cultura política. Asimismo, otra de las influencias foráneas fue la de origen occidental, lo que convirtió al país en una nación industrial, ejerciendo con ello una esfera de influencia y una expansión territorial sobre el área del Pacífico. No obstante, dicho expansionismo se detuvo tras la Segunda Guerra Mundial y el país se posicionó en un esquema de nación industrial con vínculos a su tradición cultural.
QUESTION: ¿Cuándo se detuvo el expansionismo de Japón?
The answer to this example can be: tras la Segunda Guerra Mundial
Here is why: The answer is more than 3 words and it is taken from the context provided. Also, the answer is precise indicating the time without duration as mentioned in the context.
OK. solve this:
CONTEXT: Como se ha visto en el apartado anterior, los polímeros orgánicos dopados presentan serias dificultades a causa fundamentalmente de su baja estabilidad térmica y química, lo que por el momento limita sus aplicaciones prácticas. Una clase de compuestos comparativamente más estables son los metalomacrociclos, es decir, complejos metálicos que contienen un sistema macrocíclico como ftalocianinas o tetrabenzoporfirinas, coordinado con un metal de transición capaz de dar hexacoordinación, como por ejemplo Fe, Co, Cr o Ru. Estos metalomacrociclos polimerizan formando un apilamiento entre las distintas moléculas, con la distancia interplanar adecuada (fig. 2). El solapamiento de los orbitales moleculares n permite, tras el proceso de dopado, una deslocalización de los electrones a lo largo del sistema macrocíclico dando lugar a materiales conductores quasiunidimensionales. En algunos casos también se ha podido observar conducción por contacto entre los tomos metálicos contenidos en los macrociclos. Sin embargo, los complejos de metalomacrociclos no siempre cristalizan de este modo, y puede no darse el solapamiento de orbitales, perdiéndose así uno de los requerimientos necesarios para la conductividad.
QUESTION: ¿Por qué es difícil el uso de polímeros orgánicos dopados?
Answer:
|
baja estabilidad térmica y química
| 8
|
NIv2
|
task1334_sqac_answer_generation
|
fs_opt
|
[
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] |
Q: In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
Are you a fan of mountain climbing?
A:
|
I prefer swimming.
| 7
|
NIv2
|
task565_circa_answer_generation
|
zs_opt
|
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] |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications of each category:
1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows
2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows
3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows
4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows
5. Comparative: Comparing two rows in the table, regarding their values in one column
6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows
7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows.
Here are the definitions of logical operators for understanding of command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
[Q]: eq { count { filter_eq { all_rows ; losing bonus ; 3 } } ; 5 }
[A]: count
[Q]: and { only { filter_eq { all_rows ; party ; democratic } } ; eq { hop { filter_eq { all_rows ; party ; democratic } ; incumbent } ; robert cramer } }
[A]: unique
[Q]: and { eq { nth_min { all_rows ; time ; 3 } ; 6:41.39 } ; and { eq { hop { nth_argmin { all_rows ; time ; 3 } ; rank } ; 3 } ; eq { hop { nth_argmin { all_rows ; time ; 3 } ; country } ; australia } } }
[A]:
|
ordinal
| 5
|
NIv2
|
task212_logic2text_classification
|
fs_opt
|
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] |
Part 1. Definition
This task is about translating a given English language sentence to Spanish.
Part 2. Example
It's this amazing wonderful feeling and you know it when you get it.
Answer: Es ese sentimiento asombroso e increíble, y lo reconoces cuando lo sientes.
Explanation: This is a good example because the English sentence has been translated correctly to Spanish.
Part 3. Exercise
So we don't have to worry about it too much.
Answer:
|
Por lo tanto, no tenemos que preocuparnos mucho por ello.
| 7
|
NIv2
|
task1691_qed_amara_translation
|
fs_opt
|
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] |
instruction:
In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
question:
Hello! Do you have anything you can share about Belize?
Belize is located in Central America. Until 1973, it was known as British Honduras. Is there a particular subject you would like to discuss.
Please tell me what society is like there.
The only country in Central America that uses English as the official language is Belize.
Do you have more info about their society?
Sure! You will not find the violent class and racial conflicts in Belize that has dominated most of the social life in Central America.
Well that's good, can you enlighten me on their history?
During World War II the economy improved in Belize. Many of the men from Belize sought a career in the armed forces or contributed to the war.
They were brave. Is there anything else you can tell me about their history?
During the 18th century, The Spanish would engage Belize and attack the country every time a conflict happend with Britian.
Thank you for all of the information. Goodbye!
You are welcome!
answer:
Belize
question:
Can you help me learn about Cardiff?
yes! are you interested in its sport?
You read my mind, Can you tell me about the sports of Cardiff?
cardiff's professional ice hockey team, the cardiff devils, play in the 3000-seater ice arena wales in the cardiff international sports village
Can you tell me more about the hockey?
they play in the 12 team professional elite ice hockey league
Cool. Can you tell me about the Geography?
i dont have any geography info but i can tell you that a group of five bronze age tumuli is at the summit of the garth, within the county's northern boundary
can you tell me more about the summit of the garth?
I dont have any more on it but i can tell you that cardiff cricket club was formed in 1819 and glamorgan county cricket club have competed as a first class county since 1921
Can you offer anything else in Cardiff facts?
the club's new home is the cardiff city stadium, which until 2012, they rented to the cardiff blues the cities professional rugby union team, the blues returning to the arms park
Thank you for your help.
youre welcome
answer:
Cardiff
question:
Hello! Can you please tell me about culture in Kenya?
Hello. Kenya is one of the most pro-American nations is Africa and the wider world.
Nice! Tell me more!
Kenya is a country in Africa with 47 semiautonomous counties governed by elected governors.
What about the culture?
Kenya has been a dominant force is women's volleyball within Africa with both the clubs and the national team winning various continental championships in the past decade.
That's great for them! What can you tell me about their government?
U.S. President Barack Obama chose not to visit the country during his 2013 African trip with International Criminal Court trial dates scheduled in 2013 for both President Kenyatta and Deputy President William Ruto related to the 2007 election aftermath.
Can you tell me more about his election aftermath?
While addressing a joint press conference together Barack Obama and President Kenyatta declined to assure Kenya's commitment to gay rights saying that the issue of gay rights is really a non-issue.
Oh wow! Got ya! Thank you so much for this abundance of information Have a great day!
Glad to help!
answer:
|
Kenya
| 9
|
NIv2
|
task578_curiosity_dialogs_answer_generation
|
fs_opt
|
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] |
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Example: Giraffes like Acacia leaves and hay, and they can consume 75 pounds of food a day.
Example solution: A giraffe can eat up to 75 pounds of Acacia leaves and hay daily.
Example explanation: Input and output sentence have same meaning in different words.
Problem: if you enable this policy the user will not see a final dialog with a kb article or downloadable update .
|
Solution: if you do not select this policy , the user will not see the final dialog box of the kb database or updated updates .
| 5
|
NIv2
|
task177_para-nmt_paraphrasing
|
fs_opt
|
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] |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Това няма да проработи, а ще направи нормалното устойчиво производство в растениевъдството и градинарството невъзможно.
|
This would not work. It would make normal sustainable production in farming and horticulture impossible.
| 0
|
NIv2
|
task271_europarl_translation
|
zs_opt
|
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] |
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "False" if the explanation disproves the statement. The statement and explanation are separated by a newline character.
Example input: A popular RCA Records artist who has many hit songs is Kesha.
Kesha is a musicians from Nashville, Tennessee
Example output: True
Example explanation: although the explanation doesn't prove the statement completely, it doesn't disprove it either.
Q: The company Mattel used to manufacture weapons for the military.
This never occurred in the past.
A:
|
False
| 3
|
NIv2
|
task403_creak_commonsense_inference
|
fs_opt
|
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] |
Q: In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
انبه (نام علمی:Mangifera) میوهای گرمسیری و گیاه آن از سردههای تیرهٔ سنجدیان است. خاستگاه انبه شبه جزیرهٔ هند، پاکستان، بنگلادش و آسیای جنوبشرقی است. این درخت امروزه در بسیاری از کشورهای گرمسیری پرورش داده شده و در سراسر دنیا صادر میشود. میوهٔ انبه علاوه بر مصرف خوراکی، آشپزی و آبمیوهگیری، به عنوان طعمدهنده، رنگدهنده و عطر کاربرد دارد. برگهای درخت انبه نیز مورد استفادههای زینتی قرار میگیرد.درخت انبه قد بلندی دارد و ممکن است به ۳۵ تا ۴۰ متر برسد. قطر قسمت شاخ و برگدار آن نیز میتواند به ۱۰ متر برسد. عمر این درخت طولانی است و برخی از درختهای انبه با وجود ۳۰۰ سال سن هنوز میوه میدهند. رنگ برگهای درخت انبه در ابتدا و پس از جوانه زدن نارنجی مایل به صورتی است، که با گذشت زمان به رنگ قرمز تیره، و سپس سبز تیره در میآید. شکوفههای انبه کوچک و سفیدرنگ به صورت خوشههای ۱۰ تا ۴۰ سانتیمتری هستند. هر شکوفه ۵ گلبرگ، ۵ کاسبرگ و ۵ پرچم دارد، و رایحهای همچون موگهٔ بهار دارد. ضماد برگ درخت انبه، پوست سر و مو را تقویت میکند و خاصیت رنگی (سیاه) نیز دارد.
Question: قد درخت انبه چند متر است؟
A:
|
۳۵ تا ۴۰ متر
| 7
|
NIv2
|
task395_persianqa_answer_generation
|
zs_opt
|
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] |
TASK DEFINITION: In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the number of sentences in the correct order, such as '23415'.
PROBLEM: Sentence1: Jake opened his fridge, looking for food. Sentence2: He realized he could make a PB&J sandwich. Sentence3: He found nothing, except some jelly. Sentence4: Jake satiated his hunger. Sentence5: He got the ingredients, and fixed himself a sandwhich.
SOLUTION: 13254
PROBLEM: Sentence1: Jake satiated his hunger. Sentence2: He realized he could make a PB&J sandwich. Sentence3: He got the ingredients, and fixed himself a sandwhich. Sentence4: Jake opened his fridge, looking for food. Sentence5: He found nothing, except some jelly.
SOLUTION: 53412
PROBLEM: Sentence1: But there was a fly flying around his room. Sentence2: The noise of it was so irritating. Sentence3: He turned on the radio to try and drown out the noise. Sentence4: But he was too exhausted to try to catch the fly. Sentence5: Rick was trying to go to sleep.
SOLUTION:
|
23541
| 8
|
NIv2
|
task300_storycloze_order_generation
|
fs_opt
|
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] |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX asks PersonY's mother for help<sep>Tail: Inquisitive
A: No
****
Q: Head: PersonX does this every day<sep>Tail: satisfied
A: Yes
****
Q: Head: PersonX is walking home<sep>Tail: pooped out
A:
|
Yes
****
| 4
|
NIv2
|
task1203_atomic_classification_xreact
|
fs_opt
|
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] |
Given a scientific question, generate a correct answer to it.
What's the name for an atom that has gained or lost an electron?
|
an ion
| 0
|
NIv2
|
task591_sciq_answer_generation
|
zs_opt
|
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] |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Example Input: Los árboles pueden echar raíces dentro.
Example Output: The trees can put their roots into it.
Example Input: La mayoría de la gente piensa en el espacio vacío o en un claro cielo azul o a veces en árboles que se mecen con el viento.
Example Output: Most people think about either empty space or clear blue sky or sometimes trees dancing in the wind.
Example Input: Luego lo probamos con mi hijo, el Dr. Tim Fischell, lo probamos con algunos pacientes humanos que tenían un stent colocado.
Example Output:
|
Then we tried it with my son, Dr. Tim Fischell, we tried it on some human patients who had to have a stent put in.
| 3
|
NIv2
|
task1226_ted_translation_es_en
|
fs_opt
|
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] |
Detailed Instructions: In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Problem:Statement: Keeping all those planes, ships, and troops on alert is expensive. Choices: 1. Is expensive to keep military components in alert, but he will do it anyway. 2. Is expensive to keep military components in alert. 3. Is not expensive to keep military components in alert.
Solution:
|
3
| 8
|
NIv2
|
task202_mnli_contradiction_classification
|
zs_opt
|
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] |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statement, as indicated by the label. If sentence X agrees with sentence Y, the can be concluded from one another. If sentence X disagrees with sentence Y, they can not be correct at the same time. The sentence must also belong to the genre specified.
Let me give you an example: Statement: Next to the MGM Grand you will find M and M World.
Label: neutral.
Genre: travel.
The answer to this example can be: The candy has many fans who love its attractions.
Here is why: When the given label is neutral, it means that you should write a sentence that neither agrees with the statement, nor disagrees with it. We don't know if the candy has many fans, hence the sentence is neutral. The places are specifically pointed out and referred to as attractions, so the given sentence is in the same genre.
OK. solve this:
Statement: and the government forcing you or taking more of your money than you want to give them
Label: entailment.
Genre: telephone.
Answer:
|
The government takes more money than you would like.
| 8
|
NIv2
|
task203_mnli_sentence_generation
|
fs_opt
|
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] |
Detailed Instructions: In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate female and male, respectively.
See one example below:
Problem: M: Excuse me. How much is this suit? ,F: It's on sale today for $750. It's normally $900. ,M: Wow, that is pretty expensive! I was thinking that it might be 4 or 500. ,F: This material is imported from Italy. It's the finest in the world, and if you bought a suit made of this material at many department stores, you would pay about $2000. ,M: Uh-hah. But isn't that the point of coming to a market like this, to get a discount compared to the expensive department stores? Besides I saw a suit just like this one a few stalls down, and they were selling it for $600. I still thought that it was too expensive. ,F: It's possible that the suit you saw was the same color is this one but made of a different material. Unfortunately, our prices are final, and we think there are the lowest anywhere in the city.
(A) M: Okay, I'll buy it at the price you want. Here, it's $600. (B) M: Just a minute! I do not quite follow what you are saying, would you mind repeating that? (C) M: Although the material is imported from France, it is not worth the $750 you want. (D) M: You want $900 for the suit? It's too expensive!
Solution: B
Explanation: Options (A) and (B) are not corrct because the suit's price is 900. Option (C) isn't correct because the material was imported from italy.
Problem: M: You look upset. What's wrong? ,F: I'll never take my car downtown again. ,M: Did you get another ticket? Or couldn't you find a parking space? ,F: I wish it were just that. My car was broken into. I lost my purse.
(A) M: So you are happy because you are given a parking ticket. (B) M: I’m sorry, I didn’t understand. Could you repeat a little louder, please? (C) M: So you are upset because your purse was stolen. (D) M: So you are happy because you couldn't find a parking space.
Solution:
|
C
| 4
|
NIv2
|
task611_mutual_multi_turn_dialogue
|
fs_opt
|
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] |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Q: [[44, -42, 33, -21, 40], [-11, 30, 11, 6], [-2, -37], [-4, -35, 21], [48, -40, -45], [-12, -1], [-15, 0, 27, -23], [-23, -46, 25, -18], [-8, 29, 39], [18, 21, -43, -27, -17]]
A:
|
[51226560, -21780, 74, 2940, 86400, 12, 0, -476100, -9048, -7460586]
| 4
|
NIv2
|
task371_synthetic_product_of_list
|
zs_opt
|
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] |
You are given a sentence in Gujarati language and we ask you to translate those to the English language. Consider following guidelines while doing the translation: 1) Note the input can be lowercase or uppercase. Please do the same in your translations. 2) Keep the short forms like '%s', 'CMD' intact as the literal meaning does not make sense.
તમારાં કમ્પ્યૂટરની બેટરીને %s દ્દારા પાછી મંગાવી શકાય છે અને તમે જોખમમાં હોઇ શકો છો.
A battery in your computer may have been recalled by %s and you may be at risk.
તમે હંમેશા પાનાંની સુરક્ષા પરિસ્થિતિ સ્થિતિદર્શકપટ્ટીના પેડલોક ચિહ્નમાંથી મેળવી શકો છો.
You can always see the security status of a page from the padlock icon on the statusbar.
XML ફાઇલ `%s' માં ઉચ્ચસ્તરનો નોડ નહિ કે <entry>, અવગણી રહ્યા છે
|
A toplevel node in XML file `%s' is rather than <entry>, ignoring
| 0
|
NIv2
|
task1351_opus100_translation_gu_en
|
fs_opt
|
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0.39346951246261597,
-0.7468990683555603,
-1.7000648975372314,
0.7313821315765381,
0.013326939195394516,
-0.022927504032850266,
0.1205054447054863,
0.03164106607437134,
0.3297925889492035,
0.8950059413909912,
-0.06871122121810913,
-1.1772541999816895,
0.11126091331243515,
-0.23953594267368317,
-0.38934510946273804,
-0.24517107009887695
] |
Given the task definition and input, reply with output. This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.
['There is a restaurant in the riverside area called The Blue Spice with low customer ratings. It is not children friendly and had a price range of more than £30.', 'Olympia is the capital of Washington.']
|
DISSIMILAR
| 5
|
NIv2
|
task1408_dart_similarity_classification
|
zs_opt
|
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Teacher:In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Teacher: Now, understand the problem? Solve this instance: In 1935, murderer Mattie Appleyard (James Stewart), bank robber Lee Cottrill (Strother Martin), and young Johnny Jesus (Kurt Russell) are released from the West Virginia State Penitentiary, located in the fictional town of Glory. Appleyard is issued a check for $25,452.32 for his 40 years of prison work, an enormous amount in the Great Depression.All three men are escorted by prison Captain "Doc" Council (George Kennedy) to the train station, ensuring they leave town. However once on the train, Appleyard realizes that his check is only redeemable in person at the local bank in Glory, requiring his return. In the meantime, Council is in league with banker Homer Grindstaff (David Huddleston) to ensure Appleyard will not cash the check. He and his accomplices, Steve Mystic (Mike Kellin) and Junior Kilfong (Morgan Paull), travel to another stop down the line in order to kill Appleyard. Informed of the plot by guilt-ridden conductor Willis Hubbard (Robert Donner), the three former prisoners thwart the plan. Kilfong ends up shooting an innocent passenger, mining supply salesman Roy K. Sizemore (William Windom). Council kills the wounded Sizemore and places the blame on Appleyard, who escapes with Sizemore's supply of dynamite.The next day, Council informs Grindstaff of the previous events at the bank. As they talk, Appleyard walks in with dynamite strapped to his chest and a suitcase with the remainder, "60 more pounds." Appleyard threatens to blow them all up "and half this city block" if the banker doesn't cash his check. Grindstaff reluctantly complies.Appleyard and his friends, who followed him back to Glory, split up with the plan to meet again later. While waiting at the rendezvous, Cottrill is talked into boarding a houseboat owned by a down-on-her-luck prostitute named Cleo (Anne Baxter) for a drink of whiskey. Also aboard is Chanty (Katherine Cannon), a sixteen-year-old virgin whom Cleo has taken in, hoping to receive $100 from any customer in exchange for her virginity.Appleyard and Johnny show up, only to be tracked down by Council and his bloodhound. The three friends get away in a skiff, leaving the suitcase of dynamite with Cleo. Johnny is worried about what Council will do to Chanty, so they turn around and go back after Council leaves.Before Council left, he told Cleo about Appleyard's money. Held at gunpoint, Appleyard gives her the suitcase that she believes contains the money in exchange for Chanty. After they leave, Cleo tries to shoot the locked suitcase open with disastrously fatal, yet comedic results.The fugitives are later trapped on a boxcar by Council. The train is a "fools' parade" as described by Appleyard, going nowhere beyond the local train yard. Luckily for them, guilt-ridden train conductor Willis Hubbard returns and helps them escape. However, he is too afraid of Council to tell the police what he knows.Council, Mystic, and Kilfong (Morgan Paull) track them to an abandoned house. Council decides he doesn't want to share the loot, so he kills his two confederates. He then shoots a window out, wounding Appleyard. Johnny throws a stick of the remaining dynamite at Council, but Council's bloodhound comically returns it. Appleyard hastily throws it back out the window, killing Council.The men are arrested and Appleyard's money confiscated, but Hubbard has mustered up enough courage to confess the truth. Ultimately, Grindstaff is arrested. Appleyard and his friends are exonerated, and Appleyard is allowed to cash his check., Question: Who is the train conductor?
Student:
|
Answer: Willis Hubbard.
| 6
|
NIv2
|
task194_duorc_answer_generation
|
zs_opt
|
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] |
Teacher: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Teacher: Now, understand the problem? If you are still confused, see the following example:
These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such poor quality. I have used infrared lights for my ball python for many years now and I get a varied range of months from a bulb, but I have never gone through two bulbs in a matter of two months! I am very disappointed.
Solution: negative
Reason: The user seems very disappointed in the product. Because the bulb they ordered has been burned out earlier than usual. So, it's a negative review.
Now, solve this instance: I purchased these for friend who has been traveling. The headphones arrived faster than expected and came in their own zippered case. As soon as I gave them to my friend she was overjoyed with them. The case will allow her to keep them in her purse so that they are available at any moment. She has told me that they work great with her Google phone.
Student:
|
positive
| 2
|
NIv2
|
task1312_amazonreview_polarity_classification
|
fs_opt
|
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] |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Galician.
See one example below:
Problem: Now, it's next door, or in my house.
Solution: Agora, está ao lado, ou na miña casa.
Explanation: The English sentence is correctly translated into Galician, because the meaning is preserved.
Problem: Happily for us, almost everyone who's offered a prize decides to accept.
Solution:
|
Por sorte para nós, case todos aos que lles ofrecemos o Premio deciden aceptalo.
| 4
|
NIv2
|
task1090_ted_translation_en_gl
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX asks ___ to go with PersonY<sep>Tail: friendship
Output:
|
No
| 1
|
NIv2
|
task1200_atomic_classification_xeffect
|
zs_opt
|
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] |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Fate in modo che sia il pubblico a mettere insieme le cose.
|
اجعل الجمهور يضع الأمور على بعضها.
| 5
|
NIv2
|
task1250_ted_translation_it_ar
|
zs_opt
|
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] |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Example Input: Nawet gaz istniejący w gromadzie nie tłumaczy... Nawet gaz istniejący w gromadzie nie tłumaczy...
Example Output: Or if we look in other parts of the electromagnetic spectrum, we see that there's a lot of gas in this cluster, as well.
Example Input: To są dwie krzywe oznaczające stosunek PKB, produktu krajowego brutto na osobę, czyli średni dochód.
Example Output: It's basically two ratios of per capita GDP, per capita gross domestic product, so average income.
Example Input: jak schematy organizacyjne.
Example Output:
|
All right. They look like org charts.
| 3
|
NIv2
|
task1256_ted_translation_pl_en
|
fs_opt
|
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] |
Part 1. Definition
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Part 2. Example
地球が今よりも無垢だった時代を訪れたかのようでした
Answer: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
Explanation: The Japanese sentence is correctly translated into Arabic, because the meaning is preserved.
Part 3. Exercise
彼らは今の社会の繁栄を知っているので
Answer:
|
لقد كانوا معرضين لهذا الوجه لمجتمعنا ، لإزدهارنا.
| 7
|
NIv2
|
task1224_ted_translation_ja_ar
|
fs_opt
|
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] |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
Input: Consider Input: [-60, -39, -75, 41, -12, 7, 20, 42]
Output: [-60, -12, 20, 42]
Input: Consider Input: [93, 79, 85, -22, 0, 11, 57, 40, 51]
Output: [-22, 0, 40]
Input: Consider Input: [93, -54, -46]
|
Output: [-54, -46]
| 2
|
NIv2
|
task369_synthetic_remove_odds
|
fs_opt
|
[
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0.2995675504207611,
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You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found directly from the passage.
Passage: My grandmother and I go to the movie every Sunday to spend time together . Right now we 're looking through the papers online to figure out what we 'd like to see . Nothing catches our interest that 's showing at the discount theater . After some debate , we settle on picking out a comedy . She wants to see a movie with her favorite actress Jane Fonda . So I agree that we can go see The Book Club , and i 'll choose the next movie we go to . After seeing The Book Club , we decide to go see the movie Adrift . We 're happy with both selections and proud that we did n't argue too much over deciding on either movie . All in all we made two great choices . Question: What did they use to browse and what did they browse? Option1: Papers online for movies Option2: Newspaper and times for plays
|
Papers online for movies
| 0
|
NIv2
|
task164_mcscript_question_answering_text
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY, or others, feel what is mentioned in the Tail or not. Feelings in this task are the emotional reactions on the part of PersonY or other participants in an event. For example, as a result of gift-giving, others (in this case, PersonY) might feel appreciated. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Problem:Head: PersonX exercises PersonX's right<sep>Tail: encouraged
Solution:
|
Yes
| 8
|
NIv2
|
task1197_atomic_classification_oreact
|
zs_opt
|
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] |
Teacher:The provided file includes English sentences, and we ask you to translate those to the Hindi language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) Note the input can be lowercased or upercased. Please do the same in your translations. 3) The numbers present in the input should be preserved in English language in output
Teacher: Now, understand the problem? Solve this instance: All the ancient medical texts state that prameha of any variety , if neglected , will finally lead to madhumeha and in due course become incurable .
Student:
|
प्राचीन चिकित्सा शास्त्रों में यह कहा गया है कि यदि किसी भी प्रकार के प्रमेह को उपेक्षित किया जाये तो अंतत : वह मधुमेह बन जाता है जो बाद में लाइलाज हो जाता है .
| 6
|
NIv2
|
task1353_hind_encorp_translation_en_hi
|
zs_opt
|
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] |
Detailed Instructions: Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Q: आप एक शहर की चराइयों में चारों ओर एक सुपरमार्केट खोजने के लिए आवश्यक हैं.
A:
|
शायद आप शहर के उपनगरों में एक सुपरमार्केट ढूँढ़ रहे हों ।
| 9
|
NIv2
|
task407_mickey_hi_sentence_perturbation_generation
|
zs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
見た目に対する態度が変われば年齢もまた問題となります
Output:
|
العمر شيئ آخر عندما يتغير موقفنا تجاه مظهرنا.
| 1
|
NIv2
|
task1224_ted_translation_ja_ar
|
zs_opt
|
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] |
Definition: Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second entity) is in a part-of relationship with its holonym (i.e., first entity).
Input: Entity 1: molecule
Entity 2: domain
Output:
|
yes
| 2
|
NIv2
|
task472_haspart_classification
|
zs_opt
|
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You will be given a definition of a task first, then some input of the task.
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Question: Did either of the women Ellen defeat at the national track championships have children at the time? Passage 1:The first podium place for the team was a third place for Jaccolien Wallaard at Omloop Het Volk in March. In May Ellen van Dijk finished third at Omloop van Borsele and in the time trial stage at the Tour de l'Aude Cycliste Féminin. Van Dijk finished third again in an international time trial at the Tour of Chongming Island Time trial in June. The day afterwards Van Dijk won the first stage of the Tour of Chongming Island with Wallaard in third place. After finishing second in the stage 2 and stage 3 Van Dijk ended also second in the general classification. In July Ellen van Dijk represented the Netherlands at the European Championships (under-23) and finished fifth in the time trial. At the national championships Anita Valen won the time trial in Norway and finished second in the road race. In the Netherlands Ellen van Dijk won the Dutch time trial championships. Due to Van Dijks' good results in the time trials she was chosen to represent the Netherlands in the time trial at the World Championships in Stuttgart where she finished 17th. Due to her good results Ellen van Dijk became sportswomen of the year of Woerden. Van Dijk was invited to join the Dutch national track cycling team. At the national track championships she became Dutch champion in the individual pursuit, ahead of Marianne Vos and Kirsten Wild, and finished fourth in the scratch race and points race.
Passage 2:Before recording her debut album, Spears had originally envisioned it in the style of "Sheryl Crow music, but younger [and] more adult contemporary". However, the singer agreed with her label's appointment of producers, who had the objective to reach a teen public at the time. She flew to Cheiron Studios in Stockholm, Sweden, where half of the album was recorded the spring of 1998, with producers Max Martin, Denniz Pop and Rami Yacoub, among others. "Sometimes" was written by Jörgen Elofsson, and produced by Per Magnusson and David Kreuger. Spears recorded the vocals for the song in May 1998, at Cheiron Studios in Stockholm, Sweden. It was also mixed at Cheiron Studios by Martin. Esbjörn Öhrwall played the acoustic guitar, while bass guitar was done by Thomas Lindberg. Keyboards and programming was done by Kreuger, and additional keyboards by Magnusson. Background vocals were provided by Anders von Hoffsten. Spears also co-wrote and recorded a track called "I'm So Curious", produced by Eric Foster White, that was released as a B-side to "Sometimes". The track was recorded in 1997 at 4MW East Studios in New Jersey. "Sometimes" was released as the second single from ...Baby One More Time on April 30, 1999.
Passage 3:When the Bolsheviks revolted, the yeshiva was forced to flee from Lithuania to Kletsk, Poland. During his three years in Kletsk, Yechiel Michel attended the famed Talmudic lectures of Rabbi Meltzer and his son-in-law, Rabbi Aharon Kotler. Then he transferred to the Mir yeshiva, where he became a leading student of Rabbi Yeruchom Lebovitz and learned together with Rabbi Yechiel Michel Schlesinger, future rosh yeshiva of Yeshivas Kol Torah in Jerusalem, and Rabbi Yonah Karpilow of Minsk, who was killed in the Holocaust and whose Yonas Eilem was published posthumously. At this time, Rabbi Chaim Shmuelevitz and Rabbi Aryeh Leib Malin also studied in the Mir yeshiva. Despite being surrounding by such luminaries in Torah, R' Yechiel Michel was nonetheless thought of as "the genius of the yeshiva".
Output:
|
1
| 1
|
NIv2
|
task230_iirc_passage_classification
|
zs_opt
|
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] |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Na RV, a vossa consciência é o meio.
|
En RV, tu conciencia es el medio.
| 0
|
NIv2
|
task1276_ted_translation_pt_es
|
zs_opt
|
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] |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Problem:「ねぇこうしたら役に立ちますか ？ 」
Solution:
|
"خوب- آیا این کمکی میکنه اگر -"
| 8
|
NIv2
|
task1098_ted_translation_ja_fa
|
zs_opt
|
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] |
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Que percentagem destas pessoas tem uma remuneração variável?
|
Ile procent osób ma zmienne wynagrodzenie?
| 5
|
NIv2
|
task1281_ted_translation_pt_pl
|
zs_opt
|
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] |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
One example: (Śmiech) Opublikował wiele filmów o przyrodzie.
Solution is here: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Explanation: The Polish sentence is correctly translated into Italian, because the meaning is preserved.
Now, solve this: W innych krajach, z dużą ilością zakażeń drogą wodną, spodziewalibyśmy się ewolucji ku wyższej szkodliwości, prawda?
Solution:
|
Altri paesi ove i germi si trasmettono con l'acqua, e gli organismi evolveranno verso un alto livello di pericolosità, vero?
| 6
|
NIv2
|
task1262_ted_translation_pl_it
|
fs_opt
|
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] |
Given the task definition and input, reply with output. In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
What is the part-of-speech tag of the word "was" in the following question: What year did the person die who was noted for the city that lies along the Volkhov River ?
|
VBD
| 5
|
NIv2
|
task382_hybridqa_answer_generation
|
zs_opt
|
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] |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
De cualquier forma, este es el punto, me recuerda a esto, que es una señal que se ve en cada esquina de las calles de Ámsterdam.
|
Jest taka rzecz, którą przypomina mi znak zauważany na każdej ulicy w Amsterdamie.
| 0
|
NIv2
|
task1102_ted_translation_es_pl
|
zs_opt
|
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] |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Q: ['j', '3425', 'Q', 'H', '747', 'Y', '955', 'v', 'H', '9229', 'f', '3803', '1151', '6833', 'x', '6447', '8833', '4227', 'q', 'g', 'f', 'z', '1137', '2143', 't']
A: 3425, 747, 955, 9229, 3803, 1151, 6833, 6447, 8833, 4227, 1137, 2143
****
Q: ['k', 'k', 'r', 'v', '6819', '7701', '589', 'e', '873', 'C', 'h', '1323', '5621', '3013']
A: 6819, 7701, 589, 873, 1323, 5621, 3013
****
Q: ['v', 'B', '5685', 'L', 'c', 't', '107', '1591', 'z', 'F', '3391', 'R', '5497', '7595', '6829', 'M', '617', 'j', 'l', '6053', '2285', '1347', '9945', 'i', '3895', 'W', 'W', 'w']
A:
|
5685, 107, 1591, 3391, 5497, 7595, 6829, 617, 6053, 2285, 1347, 9945, 3895
****
| 4
|
NIv2
|
task497_extract_all_numbers_from_list_in_order
|
fs_opt
|
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] |
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that define what the this logical operator does) of each logical operator between '{}' parenthesis. Here are the definitions of logical operators that you can use while generating command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Example: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.
Example solution: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 }
Example explanation: Here, the generated command using logical operators correctly selects third maximum from given table rows which is mentioned in natural language interpretation.
Problem: the sum of the severe tropical cyclones record of all rows is 59 .
|
Solution: round_eq { sum { all_rows ; severe tropical cyclones } ; 59 }
| 5
|
NIv2
|
task210_logic2text_structured_text_generation
|
fs_opt
|
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] |
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversion" based on your judgment.
Q: At least the soldiers pursuing him had not taken the time to get horses , or he would stand no chance to stay ahead of them .
A:
|
Original
| 4
|
NIv2
|
task516_senteval_conjoints_inversion
|
zs_opt
|
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] |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX enters the ___ in numbers<sep>Tail: sign it
A:
|
Yes
| 4
|
NIv2
|
task1214_atomic_classification_xwant
|
zs_opt
|
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] |
Instructions: In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the first element in the list will be subtracted by one. For every element in the list you need to find "element - index" where the index of the beginning element is 1 and increments by 1 for each element. Put your result list in brackets.
Input: [10, 7, -12]
Output:
|
[9, 5, -15]
| 3
|
NIv2
|
task096_conala_list_index_subtraction
|
zs_opt
|
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] |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Q: [167, 49]
A:
|
[502, 148]
| 4
|
NIv2
|
task206_collatz_conjecture
|
zs_opt
|
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] |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
[EX Q]: Statement: Scott Maddox has run "losing campaigns for 3 of Florida's 4 available cabinet positions."
Subject: agriculture,candidates-biography
[EX A]: True
[EX Q]: Statement: Student loans from the federal government issued between 2007 and 2012 are on target to produce $66 billion in profits for the United States government.
Subject: deficit,federal-budget,military
[EX A]: False
[EX Q]: Statement: As a U.S. senator with salary and perks, #Bernie is in the top 1 percent, but still paid only 13 percent in taxes last year.
Subject: income,taxes
[EX A]:
|
True
| 6
|
NIv2
|
task1187_politifact_classification
|
fs_opt
|
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] |
Detailed Instructions: This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "date", "number". A "span" answer is a continuous phrase taken directly from the passage or question. You can directly copy-paste the text from the passage or the question for span type answers. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words. A "number" type answer can include a digit specifying an actual value. For "date" type answers, use DD MM YYYY format e.g. 11 Jan 1992. If full date is not available in the passage you can write partial date such as 1992 or Jan 1992. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words.
Q: Passage: Still looking for their first win of the season, the Titans flew to Gillette Stadium, donned Oilers throwback uniforms, and played a Week 6 AFL Legacy game with the New England Patriots in a rare October snowstorm. Tennessee's struggles continued as Patriots running back Laurence Maroney got a 45-yard touchdown run, followed by kicker Stephen Gostkowski making a 33-yard field goal. Things got worse for the Titans in the second quarter as quarterback Tom Brady completed five touchdown passes, two to wide receiver Randy Moss (40-yard and 28-yard), one to running back Kevin Faulk (38-yard), and two to wide receiver Wes Welker (30-yard and 5-yard). The Patriots' 45-0 halftime lead was the largest in NFL history. New England would then conclude their scoring in the third quarter with Brady's 9-yard touchdown pass to Moss, followed by backup quarterback Brian Hoyer's one-yard touchdown run. With the loss, not only did the Titans go into the bye week at 0-6 (their first such start since 1984), but they suffered their worst loss in franchise history, eclipsing a 61-7 loss to Cincinnati in 1989, when the team was the Houston Oilers. This was the first 59-0 game since 1976, and only the fourth in NFL history. It was the largest blowout in the 2009 season, and tied the post-merger record for largest margin of victory.
Question: How many points did they lose to Cincinnati by in 1989?
Answer type: Number
A:
|
54.
| 9
|
NIv2
|
task028_drop_answer_generation
|
zs_opt
|
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] |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a` for Yes or `b` for No.
One example is below.
Q: Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin? Passage: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lô during July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war,
.
A: b
Rationale: The passage describes the 704th's actions during Operation Market Garden so only information about the operation is needed.
Q: Question: Which countries made up the group that invaded Yugoslavia? Passage:On 6 April 1941, Yugoslavia was invaded from all sides by the Axis powers, led by German forces. Stojanović was assigned as a physician to an infantry battalion based in Banja Luka. For several days after the invasion this battalion moved toward Dalmatia, before it completely disintegrated without fighting the enemy, and Stojanović returned to Prijedor. The Royal Yugoslav Army capitulated on 17 April, and the Axis powers proceeded to dismember Yugoslavia. Almost all of modern-day Croatia, all of modern-day Bosnia-Herzegovina, and parts of modern-day Serbia were combined into a puppet state called the Independent State of Croatia (, NDH). It was an "Italian-German quasi-protectorate", which was controlled by the fascist Ustaše led by Ante Pavelić. One of its policies was to eliminate the ethnic Serb population of the NDH through mass killings, expulsions and forced assimilation, and many Serbs fled from the NDH to the German-occupied territory of Serbia.
A:
|
a
| 9
|
NIv2
|
task232_iirc_link_number_classification
|
fs_opt
|
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instruction:
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
question:
Passage: Andrew Sluyter is an American social scientist who currently teaches as a professor in the Geography and Anthropology Department of the Louisiana State University in Baton Rouge. His interests are the environmental history and historical, cultural, and political ecology of the colonization of the Americas. He has made various contributions to the theorization of colonialism and landscape, the critique of neo-environmental determinism, to understanding pre-colonial and colonial agriculture and environmental change in Mexico, to revealing African contributions to establishing cattle ranching in the Americas, and to the historical geographies of Hispanics and Latinos in New Orleans. With the publication of Black Ranching Frontiers: African Cattle Herders of the Atlantic World, 1500–1900 (Yale University Press, 2012) and a 2012–13 Digital Innovation Fellowship from the American Council of Learned Societies, he has joined a growing number of scholars from multiple disciplines working from the perspective of Atlantic History and using the tools of the Digital Humanities. His latest book, Hispanic and Latino New Orleans: Immigration and Identity since the Eighteenth Century (LSU Press, 2015), co-authored with Case Watkins, James Chaney, and Annie M. Gibson, was awarded the 2015 John Brinckerhoff Jackson Book Prize by the American Association of Geographers.
Link Information: Baton Rouge was incorporated in 1817. Question: When was the city founded that houses the university Sluyter teaches in?
answer:
Answer: 1817
question:
Passage: John Cotton and Anne Hutchinson regarded preparationism as a covenant of works, a criticism that was one of the causes of the Antinomian Controversy, which led to Hutchinson being banished from the Massachusetts Bay Colony in 1638. Historians have debated the factors in Hutchinson's downfall, including issues of politics and gender; but intellectual historians have focused on theological factors, including preparationism, antinomianism, mortalism, and the idea of sanctification being evidence of justification. Harvard University historian Perry Miller views the incident as a "dispute over the place of unregenerate human activity, or 'natural ability', preparatory to saving conversion." Similarly, Rhys Bezzant sees the Antinomian crisis as pitting Hutchinson and others against "the defenders of preparationist piety." Bezzant goes on to argue that Jonathan Edwards distanced himself from his grandfather Solomon Stoddard's "preparationist model of conversion."
Link Information: none Question: How many people lived in the Massachusetts Bay Colony the year that Hutchinson was banished from there?
answer:
Answer: none
question:
Passage: The Ohio Country located between Britain's Thirteen Colonies and France's New France saw France and Britain clash. In 1753 the French sent an expedition south from Montreal that began constructing forts in the upper reaches of the Ohio River. In 1754 the Province of Virginia sent the Virginia Regiment led by George Washington to the area to assist in the construction of a British fort at present-day Pittsburgh, but the larger French force had driven away a smaller British advance party and built Fort Duquesne. Washington and some native allies ambushed a company of French scouts at the Battle of Jumonville Glen in late May 1754. In the skirmish the French envoy Joseph Coulon de Jumonville was left dead leading to a diplomatic incident. The French responded in force from Fort Duquesne, and in July Washington was forced to surrender at the Battle of Fort Necessity. Despite the conflict between them, the two nations were not yet formally at war.
Link Information: It was later taken over by the English, and later Americans, and developed as Pittsburgh in the U.S. state of Pennsylvania. Question: In what present day state is Fort Duquesne located in?
answer:
|
Answer: Pennsylvania
| 9
|
NIv2
|
task238_iirc_answer_from_passage_answer_generation
|
fs_opt
|
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Given the task definition, example input & output, solve the new input case.
Given a text passage, come up with an appropriate title for it. The title should accurately represent what the main focus of the passage is. The title of a passage may be present in the first few sentences of the passage and/or be referred to multiple times in the passage. The title should be 1-5 words long.
Example: The Beatles ' rooftop concert was the final public performance of the English rock band the Beatles . On 30 January 1969 , the band , with keyboardist Billy Preston , surprised a central London office and fashion district with an impromptu concert from the roof of the headquarters of the band 's multimedia corporation Apple Corps at 3 Savile Row . In a 42 - minute set , the Beatles were heard playing nine takes of five songs before the Metropolitan Police Service asked them to reduce the volume . Footage from the performance was later used in the 1970 documentary film Let It Be .
Output: The Beatles' rooftop concert
'The answer given is correct because it is an appropriate title as it is the main subject of the passage.
New input case for you: Ram Nath Kovind ( born 1 October 1945 ) is the 14th and current President of India , in office since 25 July 2017 . Previously he had served as the Governor of Bihar from 2015 to 2017 and was a Member of Parliament , Rajya Sabha from 1994 to 2006 . Kovind was nominated as a presidential candidate by the ruling NDA coalition and won the 2017 presidential election , becoming the second Dalit to be elected to the post of President .
Output:
|
Ram Nath Kovind
| 1
|
NIv2
|
task769_qed_summarization
|
fs_opt
|
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] |
Detailed Instructions: In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Q: For ideal gases the molar volume is given by the standard gas equation , a good approximation for many common gases at ideal temperature and pressure .
For ideal gases , the molar volume is given by the standard gas equation ; this is a good approximation for many common gases at ideal temperature and pressure .
A:
|
Paraphrase
| 9
|
NIv2
|
task400_paws_paraphrase_classification
|
zs_opt
|
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] |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a new line.
Q: Who is the woman who does the progressive commercials?
A: Who is the woman character who does the progressive commercials?
Flo
****
Q: When did the french stop using the guillotine?
A: When was the last execution in France using the guillotine?
September 10, 1977
****
Q: Where do you hit to test your reflexes?
A:
|
Where do you hit to test your ankle jerk reflexes?
Achilles tenden
****
| 4
|
NIv2
|
task671_ambigqa_text_generation
|
fs_opt
|
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] |
This task is about translating a given English language sentence to Yoruba language.
Only showing learners that are enrolled in this class
Ń ṣàfihàn àwọn akẹ́kọ̀ọ́ tí ó forúkọsílẹ̀ ní yàrá ìkẹ́kọ̀ọ́ yìí nìkan
Two carts near the north gate of Gangneung Olympic Park.
Wọ́n gbé àtẹ ìwé méjì sí tòsí ẹnubodè àríwá ní Gangneung Olympic Park.
The journey is never so pleasant that the parrot does not return to Ìwó.
|
Àjò kì í dùn kódídẹ má rèWó.
| 0
|
NIv2
|
task1685_menyo20k_translation
|
fs_opt
|
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] |
Q: This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Männer und Frauen hatten nicht ihr Leben riskiert, nur um danach wieder in die alte Zeit der Klassenprivilegien und der sozialen Benachteiligung zurückzukehren.
A:
|
Los hombres y las mujeres no habían arriesgado sus vidas simplemente para volver a la época anterior de privilegios de clase y privación social.
| 7
|
NIv2
|
task1373_newscomm_translation
|
zs_opt
|
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] |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Example Input: 断続的な絶食つまり食事の間隔を空けることこれは神経新生を向上させます
Example Output: O xaxún intermitente — espaciar o tempo entre comidas — aumenta a neuroxénese.
Example Input: 赤い線です
Example Output: Está a deixar un rastro de tinta vermella.
Example Input: 癌のような疾患をより良く理解するために解析するには私たちはそれら疾患を急性あるいは単発のエピソードと考えるのを止め私達の健康に影響する全てのものを継続的に測定し把握するべきです
Example Output:
|
Se queremos entender mellor e descodificar estas doenzas, hai que deixar de tratalas como graves e illadas, para considerar e medir todo o que afecta a nosa saúde.
| 3
|
NIv2
|
task1095_ted_translation_ja_gl
|
fs_opt
|
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This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage.
--------
Question: All of Britain's campaigns against New France succeeded in 1759, part of what became known as an Annus Mirabilis. Fort Niagara and Fort Carillon on 8 July 1758 fell to sizable British forces, cutting off French frontier forts further west. On 13 September 1759, following a three-month siege of Quebec, General James Wolfe defeated the French on the Plains of Abraham outside the city. The French staged a counteroffensive in the spring of 1760, with initial success at the Battle of Sainte-Foy, but they were unable to retake Quebec, due to British naval superiority following the battle of Neuville. The French forces retreated to Montreal, where on 8 September they surrendered to overwhelming British numerical superiority.
Answer: Which country enjoyed the most success in battles in North America in 1759
Question: "Funday Night at the Movies" was replaced in 2008 by "Essentials Jr.", a youth-oriented version of its weekly series The Essentials (originally hosted by actors Abigail Breslin and Chris O'Donnell, then by John Lithgow from 2009 to 2011, and then by Bill Hader starting with the 2011 season), which included such family-themed films as National Velvet, Captains Courageous and Yours, Mine and Ours, as well as more eclectic selections as Sherlock, Jr., The Music Box, Harvey, Mutiny on the Bounty and The Man Who Knew Too Much.
Answer: What series replaced Funday Night at the Movies?
Question: The possibility of unlikely victories in the earlier rounds of the competition, where lower ranked teams beat higher placed opposition, known as "giant killings", is much anticipated by the public, and is considered an integral part of the tradition and prestige of the competition, alongside that gained by teams winning the competition. Almost every club in the League Pyramid has a fondly remembered giant-killing act in its history. It is considered particularly newsworthy when a top Premier League team suffers an upset defeat, or where the giant-killer is a non-league club, i.e. from outside the professional levels of The Football League.
Answer:
|
Do people look forward to Cinderella matches?
| 7
|
NIv2
|
task074_squad1.1_question_generation
|
fs_opt
|
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] |
Detailed Instructions: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
Problem:News Headline: List of the Unremarkable {Performers} for the Inaguration
Edit: meals
Solution:
|
Funny
| 8
|
NIv2
|
task495_semeval_headline_classification
|
zs_opt
|
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] |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
وترليون واحد من ذلك يذهب إلى الأوبك.
A:
|
וטריליון אחד מתוכם, הולך לאופ "" ק.
| 7
|
NIv2
|
task1233_ted_translation_ar_he
|
zs_opt
|
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] |
Given the task definition and input, reply with output. In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
At the end of one of this man's novels, Levi Blackwater plucks a few hairs from the head of a dead man. That dead man, Selvy, was decapitated by a man named Van in a section of the novel called "Marathon Mines. " At the end of another of his novels, a photographer named Brita watches an early morning wedding procession from an apartment in East Beirut. That novel features the death of a novelist named Bill Gray and begins with a Moonie wedding held at Yankee Stadium. In addition to Running Dog and Mao II, this man has written about a professor named Jack Gladney in a novel that features an airborne toxic event. FTP, name this American author of Underworld and White Noise.
|
Literature
| 5
|
NIv2
|
task521_trivia_question_classification
|
zs_opt
|
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] |
In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. Anaphor number agreement is a restriction where a phrase agrees with the preceeding expression: plurals match plurals or singular expressions match singular expressions. In this task a valid representation of anaphor number agreement should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an anaphor number agreement will be a grammatically correct instance of a sentence where the subject and self-referencing nouns match plurality. An incorrect representation is a sentence in which the subject and self-referencing noun's plurality do not match.
Melanie isn't talking about themselves.
|
bad
| 0
|
NIv2
|
task1560_blimp_binary_classification
|
zs_opt
|
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] |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Input: Fortunatamente, ho un fantastico team di colleghi e collaboratori senza i quali questo lavoro non sarebbe possibile.
Output:
|
למזלי, היה לי ועדיין יש לי צוות מדהים של עמיתים ומשתפי פעולה בצוות שלי, וזו הדרך היחידה שהעבודה הזו יכולה להתבצע.
| 3
|
NIv2
|
task1251_ted_translation_it_he
|
zs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it should feel like it is written by younger person without high level of literature education.
Last Nite
Output:
|
last nite i be at work very late it be untill the hour i hate i want to go home but instead i call my mom on the phone it be very cold outside there be nowhere warm i can hide my cool friend be with me that be all i can see because of that the job be such a blast that i can never forget in the past dinner be so much fun that too bad there be no shin sun
| 1
|
NIv2
|
task1711_poki_text_generation
|
zs_opt
|
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] |
Q: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[455, 601, 455, -873, 992, -403, 576, -191, 243, -172, 93, -234, 527]
A:
|
[460, 600, 460, -870, 990, -400, 580, -190, 240, -170, 90, -230, 530]
| 7
|
NIv2
|
task373_synthetic_round_tens_place
|
zs_opt
|
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] |
TASK DEFINITION: In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
PROBLEM: এই রেস্টুরেন্টে আমাদের সবচেয়ে অপ্রীতিকর অভিজ্ঞতা ছিল।
SOLUTION: negative
PROBLEM: খাবার খুব খারাপ ছিল। তাছাড়া খাবারের মান এবং পরিমাণ খুব কম ছিল।
SOLUTION: negative
PROBLEM: সূরা আল আহযাব টেস্ট টাটকা খাওয়া আমি শুধু ভালবাসা খাদ্যে অসাধারণ আমি জায়গা আমি পছন্দ যেতে ব্যবহার করুন ইচ্ছা সব ভাল ডি
SOLUTION:
|
positive
| 8
|
NIv2
|
task1496_bengali_reviews_sentiment_classification
|
fs_opt
|
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] |
In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
--------
Question: The last thing he wrote before his suicide was a story entitled "Gleanings From" his most famous work, the longest of his "palm-of-the-hand" stories. David Henry Hwang wrote this man into a theatrical adaptation of this author's House of the Sleeping Beauties, written after his novel about the twin daughters of kimono salesmen, The Old Capital. Other novels by him deal with the six-month contest between Ottake and Shusai, and with the love of Shimmamura for a northern geisha. For 10 points, name this Japanese author of The Master of Go and Snow Country.
Answer: Literature
Question: Leon Gambetta attempted to organize one side's defenses in this war, but fled in a hot air balloon. The Treaty of Frankfurt ended this war, in which the Battle of Sedan was fought. One cause of this war was the possibility of Leopold of Hohenzollern gaining the Spanish throne. Another cause of this war was an edited letter between the ambassador of one country in this war and Wilhelm I. That document known as the Ems Dispatch was used to advance the goals of Otto von Bismarck. For 10 points, name this 1870-1871 war between two European nations that led to German unification.
Answer: History
Question: The completely black bull Mnewis was regarded as an aspect of this god, who was served by the deity Mehen, and this god is the principal offspring of the ocean goddess Nu. This figures children represent dryness and moisture, and his ba was the Bennu bird. He saved mankind from annihilation by creating 7000 jugs of beer mixed with pomegranate juice to distract the bloodthirsty Sekhmet. Syncretized with Horakhty, this god was the grandfather of Geb and Nut and father of Shu and Tefnut, and he staves off Apep every day while riding his barge. For 10 points, name this Egyptian god often combined with Atum and Amun, the chief solar deity.
Answer:
|
Social Science
| 7
|
NIv2
|
task521_trivia_question_classification
|
fs_opt
|
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`, and the follow-up question has a prefix `FOLLOWUP_Q:`.
CONTEXT: Duck feet will render plenty of gelatin because of the amount of cartilage, same as chicken feet. Any bird's feet are a good choice.The method for making stock is pretty much the same no matter what you put into it, so yes, you can follow your favourite recipe for chicken stock and substitute duck feet. The only thing to keep in mind is that duck feet, like any other duck parts, are substantially more fatty than their chicken equivalents, so assuming you want a clear or mostly-clear stock, you'll have to spend a lot of time skimming.Alternatively you can clean the feet and other bones by boiling them in plain water for 5-10 minutes, then dumping it all out and starting over - which is what your linked recipe suggests. I don't usually do this for brown stocks because you lose a lot of flavour, but if you're starting from raw then it won't make much difference and it's an easy/lazy way to get rid of a lot of the fat at once. <sep> Q: Can I use duck feet to make duck stock A: The method for making stock is pretty much the same no matter what you put into it, so yes, you can follow your favourite recipe for chicken stock and substitute duck feet Q: Does it add the same flavor and mouth feel? A: The only thing to keep in mind is that duck feet, like any other duck parts, are substantially more fatty than their chicken equivalents <sep> FOLLOWUP_Q: How does this change things?
Solution: Yes
Why? The question asks about how the stock can be less fatty or mostly clear. This can be infered from the previous conversation. The answer is written in the passage that if mostly clear stock is needed then one has spend a lot of time skimming.
New input: CONTEXT: Marshmallows expand so much because the water in them becomes steam, and gas takes up a LOT more volume than liquid. Specifically, 1 mL of water becomes ~1.36 LITERS of vapor, before it gets heated further. That's 1000-fold expansion, before you add additional expansion as the gas is heated. Marshmallows don't have all that much water content, but when it's trapped in a stretchy gelatin matrix that holds gas readily, it only takes a bit to blow the whole thing up like a balloon.You are correct that the gas expansion on its own is insufficient; unless I've badly muddled my calculations, gas expansion from 20C to ~150C (caramelization temperature) will increase the gas volume by under 50%. <sep> Q: Why do marshmallow get so puffed up in the microwave? A: Marshmallows expand so much because the water in them becomes steam, and gas takes up a LOT more volume than liquid Q: How big can they get? A: 1 mL of water becomes ~1.36 LITERS of vapor <sep> FOLLOWUP_Q: Do they ever get so big they explode?
Solution:
|
No
| 0
|
NIv2
|
task1439_doqa_cooking_isanswerable
|
fs_opt
|
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] |
In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity, then return 'None'.
Ex Input:
Manneke Pis .
Ex Output:
None
Ex Input:
Bruylants , nog maar veertien dagen weer aan het koersen , moest zijn poging om Elli terug te halen met krampen betalen .
Ex Output:
None
Ex Input:
Hij voelt nu pas echt de hete adem van Stefano Garzelli in de nek .
Ex Output:
|
None
| 1
|
NIv2
|
task1546_conll2002_location_name_extraction_answer_generation
|
fs_opt
|
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] |
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Q: Problem: a cyclist bikes x distance at 10 miles per hour and returns over the same path at 9 miles per hour. what is the cyclist ' s average rate for the round trip in miles per hour ?
Options: a. 8.1, b. 8.3, c. 8.6, d. 8.9, e. 9.5
A:
|
e
| 4
|
NIv2
|
task1678_mathqa_answer_selection
|
zs_opt
|
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] |
Q: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surprise', 'happiness', 'sadness', 'anger', 'disgust'.
Person1: OK , Ann , you spent quite a bit of time in Australia recently so why don't you talk about that ?
Person2: I really liked living in Australia . I was an international student and I studied education at the university of Sydney . And living in Sydney was fantasticbecuase I could go to the beach anytime I wanted and there was a great nightlife in Sydney . There are lots of great clubs . And people were very , very friendly and easy-going and I met a lot of international people in living Sydney .
Person1: Mm-hm . How long were you there ?
Person2: I was there for almost a year .
Person1: Oh , OK .
Person2: And I travelled a little bit in Australia . I went up the east coast . Up to Frasier Island . Which is a world heritage site . And I saw dingo running along the beach and sharks in the water . We climbed cliffs and went through a rain forest and went camping and then we went up to the ... , which is a but north . And the further north you go in Australia , the hotter it gets . So we were able to go swimming in the ocean and I went diving for the first time but it was a little bit risky cause I didn't have a diving license , so I went on an introductory dive and I saw a giant clam that had a really purple spongy inside that I was able to touch and then the clam closed up really quickly .
Person1: So , did you , did you lose your finger ?
Person2: Almost .
Person1: Almost . Ah , you're lucky . Um , it's funny , you go in the water and you worry about sharks , but not clams .
Person2: Exactly .
Person1: Will you be going back to Australia soon ?
Person2: I'd like to go and live there for at least another year . Probably I'll go back to Sydney or maybe I'll go down to Melbourne because it's a really interesting cultural city . They have lot of museums and parks .
A:
|
No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion
| 7
|
NIv2
|
task1532_daily_dialog_emotion_classification
|
zs_opt
|
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] |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Ex Input:
[737, 'z', 4401, 6317, 't', 'B', 3815, 'm', 'G', '8709', '4749', 'J', '8885', 'k', 'Y', '3083', 'X', '8267', 'T', 'A', 'A', '7049', '6681', '6111', 's', 't', 'h', 1687, 'T', 'O', 'A', 'r', 'U', 6703, 'u', 'm', 1571, 'J', 2289, 8279], [5617, 'D', 'p', '8709', '4749', 'J', '8885', 'k', 'Y', '3083', 'X', '8267', 'T', 'A', 'A', '7049', '6681', '6111', 's', 'n', 5571, 8277, 'D', 1885, 7949, 3767, 'o', 'K', 5755, 'v', 9117, 's', 'b']
Ex Output:
8709, 4749, J, 8885, k, Y, 3083, X, 8267, T, A, A, 7049, 6681, 6111, s
Ex Input:
['Y', 'z', 5335, 'X', 3843, 'D', 4457, 2327, 'V', 7231, 'y', 4551, 'W', 9241, '7147', '6713', '9717', '8795', '3161', 'V', '1129', '2943', '9809', 'a', '3273', 'y', 'R', 'M', 'g', 'E', 'D', 'd', 'x', 5331, 7187, 'J', 3839, 't'], [1485, 'f', 8207, 5859, 'D', 'k', 't', 'r', 'z', 613, 9091, 4893, 5755, '7147', '6713', '9717', '8795', '3161', 'V', '1129', '2943', '9809', 'a', '3273', 'y', 'R', 'M', 'Q', 5331, 'c', 3531, 6477, 'a']
Ex Output:
7147, 6713, 9717, 8795, 3161, V, 1129, 2943, 9809, a, 3273, y, R, M
Ex Input:
['X', 'Z', 6777, 'I', 'M', 7283, 3395, 8447, 1895, 'Q', '1427', '7849', '7875', 't', 'C', 'b', '9469', 'J', '6495', '3819', '7565', '711', 'f', '309', '9815', '5399', '4971', 'Q', 'I', 'u', 8289, 't', 'U', 'A', 4903, 4739, 'U', 3475, 1827, 'D', 6255, 8663, 7533, 'f', 'a', 4631], ['m', 2071, 2407, 'y', 2795, 1413, 5101, 2747, 161, 'T', 'p', 'Q', '1427', '7849', '7875', 't', 'C', 'b', '9469', 'J', '6495', '3819', '7565', '711', 'f', '309', '9815', '5399', '4971', 'Q', 'E', 6951, 'v', 8035, 9161, 9955, 'C', 2635, 'y', 'B', 761, 'C', 3289, 'A', 6207, 3895, 3603]
Ex Output:
|
Q, 1427, 7849, 7875, t, C, b, 9469, J, 6495, 3819, 7565, 711, f, 309, 9815, 5399, 4971, Q
| 1
|
NIv2
|
task605_find_the_longest_common_subsequence_in_two_lists
|
fs_opt
|
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] |
Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Non molto tempo dopo ricevette un'altra richiesta dalla responsabile dell'EPA della California, che la usò nella sua presentazione a una conferenza internazionale sul cambiamento climatico a Sacramento, lo scorso anno.
A:
|
E non moito despois diso, recibiu outra petición de copia para a xefa do EPA en California quen o usou como parte de súa presentación na conferencia internacional sobre o cambio climático en Sacaramento o ano pasado.
| 7
|
NIv2
|
task1252_ted_translation_it_gl
|
zs_opt
|
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] |
In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
Q: Owing to an emergency, I want to cancel my recent reservation. Can you help me in cancel reservation?
A:
|
customer
| 4
|
NIv2
|
task575_air_dialogue_classification
|
zs_opt
|
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] |
Q: In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
PPARgamma controls CD1d expression by turning on retinoic acid synthesis in developing human dendritic cells.
A:
|
CD1d
| 7
|
NIv2
|
task1482_gene_extraction_chemprot_dataset
|
zs_opt
|
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] |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Example input: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Answer: Find somewhere to go
Example output: What does Tracy need to do before this?
Example explanation: Tracy has to resist Riley's attack and the answer is she has to find somewhere to go so the question is what does she do before this?
Q: Context: Aubrey followed Tracy into the room to confront her, but Tracy had some things she wanted to address also.
Answer: get her point across
A:
|
What will Tracy want to do next?
| 3
|
NIv2
|
task581_socialiqa_question_generation
|
fs_opt
|
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] |
Teacher: In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Hello. How may I aid you today?
Solution: agent
Reason: This is a pretty straightforward dialogue, and the speaker wants to help the other. So, the agent is the speaker.
Now, solve this instance: I am Janet Martinez.
Student:
|
customer
| 2
|
NIv2
|
task575_air_dialogue_classification
|
fs_opt
|
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] |
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
[EX Q]: ['welcome', 'back', 'well', 'in', 'the', 'last', 'video', 'we', 'took', 'the', 'Maclaurin', 'series', 'for', 'cosine', 'of', 'X', 'the', 'Maclaurin', 'series', 'representation', 'so', 'I', 'guess', 'we', 'might', 'as', 'well', 'do', 'the', 'same', 'for', 'sine', 'of', 'X', 'and', 'I', "I'm", 'sounding', 'very', 'nonchalant', 'but', 'I', 'have', 'a', 'a', 'reason', 'behind', 'why', "I'm", 'doing', 'this', 'and', "you'll", 'see', 'in', 'a', 'few', 'videos', 'from', 'now', 'when', 'we', 'come', 'with', 'the', 'when', 'we', 'come', 'up', 'with', 'the', 'grand', 'conclusion', 'so', 'anyway', "let's", 'just', 'set', '', 'f', 'of', 'X', 'and', 'you', 'might', 'just', 'want', 'to', 'do', 'this', 'yourself', 'and', 'instead', 'of', 'watching', 'me', 'do', 'it', 'because', 'it']
[EX A]: ['Welcome', 'back.', 'Well,', 'in', 'the', 'last', 'video', 'we', 'took', 'the', 'Maclaurin', 'series', 'for', 'cosine', 'of', 'x,', 'the', 'Maclaurin', 'series', 'representation.', 'So', 'I', 'guess', 'we', 'might', 'as', 'well', 'do', 'the', 'same', 'for', 'sine', 'of', 'X', 'and', 'I', "I'm", 'sounding', 'very', 'nonchalant,', 'but', 'I', 'have', 'a', 'a', 'reason', 'behind', 'why', "I'm", 'doing', 'this,', 'and', "you'll", 'see', 'in', 'a', 'few', 'videos', 'from', 'now', 'when', 'we', 'come', 'with', 'the', 'when', 'we', 'come', 'up', 'with', 'the', 'grand', 'conclusion.', 'So', 'anyway,', "let's", 'just', 'set', '', 'f', 'of', 'x.', 'And', 'you', 'might', 'just', 'want', 'to', 'do', 'this', 'yourself', 'and', 'instead', 'of', 'watching', 'me', 'do', 'it,', 'because', 'it']
[EX Q]: ["we're", 'on', 'the', 'second', 'floor', 'of', 'the', 'Metropolitan', 'Museum', 'of', 'Art', 'and', "we're", 'looking', 'at', 'a', 'painting', 'by', 'Digga', 'the', 'dance', 'class', 'and', 'this', 'is', 'a', 'painting', 'that', 'was', 'according', 'to', 'the', 'wall', 'text', 'originally', 'intended', 'for', 'the', 'very', 'first', 'impressionist', 'exhibition', 'in', '1874', 'but', 'not', 'actually', 'shown', 'until', 'two', 'years', 'later', 'actually', 'you', 'said', 'that', 'thinking', 'about', 'that', 'very', 'first', 'impressionist', 'exhibition', 'at', 'first', 'moment', 'when', 'this', 'group', 'of', 'artists', 'decided', 'you', 'know', "we're", 'not', 'going', 'to', 'show', 'with', 'the', 'salon', "we're", 'going', 'to', 'create', 'our', 'own', 'exhibition', 'space', 'and', 'how', 'and', 'there', 'make', 'readily', 'normal', 'that', 'seems', 'to']
[EX A]: ["we're", 'on', 'the', 'second', 'floor', 'of', 'The', 'Metropolitan', 'Museum', 'of', 'Art,', 'and', "we're", 'looking', 'at', 'a', 'painting', 'by', 'Degas,', '"The', 'Dance', 'Class."', 'And', 'this', 'is', 'a', 'painting', 'that', 'was,', 'according', 'to', 'the', 'wall', 'text,', 'originally', 'intended', 'for', 'the', 'very', 'first', 'Impressionist', 'exhibition', 'in', '1874,', 'but', 'not', 'actually', 'shown', 'until', 'two', 'years', 'later', 'actually', 'you', 'said', 'that,', 'thinking', 'about', 'that', 'very', 'first', 'Impressionist', 'exhibition,', 'the', 'first', 'moment', 'when', 'this', 'group', 'of', 'artists', 'decided,', 'you', 'know,', "we're", 'not', 'going', 'to', 'show', 'at', 'the', 'Salon.', "We're", 'going', 'to', 'create', 'our', 'own', 'exhibition', 'space.', 'And', 'how', 'and', 'there', 'make', 'readily', 'normal', 'that', 'seems', 'to']
[EX Q]: ['we', 'saw', 'earlier', 'that', 'lots', 'of', 'times', 'probabilities', 'or', 'counts', 'of', 'by', 'grams', 'or', 'trigrams', 'would', 'be', 'zero', 'what', 'do', 'we', 'do', 'in', 'these', 'cases', "let's", 'think', 'about', 'this', 'by', 'starting', 'with', 'these', 'sheep', "what's", 'called', 'the', 'Shannon', 'visualization', 'method', 'and', 'this', 'is', 'what', 'Shannon', 'proposed', 'to', 'to', 'visualize', 'the', 'actual', 'Engram', 'grammar', 'that', "you've", 'built', 'by', 'maximum', 'likelihood', 'estimation', 'so', "here's", 'the', 'the', 'method', 'we', 'choose', 'a', 'random', 'by', 'Gram', 'according', 'to', 'its', 'probability', 'so', 'this', 'is', 'a', 'bigram', 'with', 'start', 'as', 'the', 'first', 'word', 'and', 'then', 'any', 'other', 'word', 'according', 'to', 'its', 'probability', 'roll', 'a', 'die', 'and', 'pick']
[EX A]:
|
['We', 'saw', 'earlier', 'that', 'lots', 'of', 'times', 'probabilities', 'or', 'counts', 'of', 'by', 'grams', 'or', 'trigrams', 'would', 'be', 'zero.', 'What', 'do', 'we', 'do', 'in', 'these', 'cases?', "Let's", 'think', 'about', 'this', 'by', 'starting', 'with', 'these', 'sheep', "what's", 'called', 'The', 'Shannon', 'Visualization', 'Method.', 'And', 'this', 'is', 'what', 'Shannon', 'proposed', 'to', 'to', 'visualize', 'the', 'actual', 'engram', 'grammar', 'that', "you've", 'built', 'by', 'maximum', 'likelihood', 'estimation', 'so', "here's", 'the', 'the', 'method', 'we', 'choose', 'a', 'random', 'by', 'Gram', 'according', 'to', 'its', 'probability,', 'so', 'this', 'is', 'a', 'bigram', 'with', 'start', 'as', 'the', 'first', 'word', 'and', 'then', 'any', 'other', 'word', 'according', 'to', 'its', 'probability,', 'roll', 'a', 'die', 'and', 'pick']
| 6
|
NIv2
|
task1415_youtube_caption_corrections_grammar_correction
|
fs_opt
|
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] |
Given the task definition and input, reply with output. You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
This key won't open the Jock.
|
1
| 5
|
NIv2
|
task1346_glue_cola_grammatical_correctness_classification
|
zs_opt
|
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] |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Let me give you an example: [7, 9, 2, 8]
The answer to this example can be: [22, 28, 1, 4]
Here is why: The odd numbers, seven and nine, were multiplied by three and added one. The even numbers, two and eight, were divided by two. So this is a good example.
OK. solve this:
[82, 24, 103, 144, 40, 105, 13]
Answer:
|
[41, 12, 310, 72, 20, 316, 40]
| 8
|
NIv2
|
task206_collatz_conjecture
|
fs_opt
|
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] |
Given the task definition and input, reply with output. You are given a sentence in English. Your job is to translate the English sentence into Italian.
Oyster reefs also covered about a quarter of our harbor and were capable of filtering water in the harbor in a matter of days.
|
I banchi di ostriche coprono quasi un quarto del nostro porto e sono in grado di filtrare l'acqua del porto nel giro di qualche giorno.
| 5
|
NIv2
|
task1091_ted_translation_en_it
|
zs_opt
|
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Given the task definition, example input & output, solve the new input case.
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT (in Spanish).
Example: CONTEXT: Taxonomía El avión roquero fue descrito formalmente como Hirundo rupestris por el naturalista italiano Giovanni Antonio Scopoli en 1769, si bien luego fue clasificado en el nuevo género Ptyonoprogne en 1850 por el ornitólogo alemán Heinrich Gustav Reichenbach.Sus parientes más cercanos son los otros integrantes del género, que son el avión isabelino (P. fuligula), el avión oscuro (P. concolor) y el avión pálido (Ptyonoprogne obsoleta). El nombre del género se deriva del griego ptuon (φτυον), «abanico», en referencia a la forma de la cola cuando está abierta, y Procne (Πρόκνη), una doncella mitológica que fue transformada en una golondrina. El nombre específico, rupestris significa «de las rocas» y se deriva del latín rupes, «rocas». No se han reconocido subespecies, aunque se propuso la existencia de dos razas, P. r. centralasica y P. r. theresae, la primera habitante de Asia Central y la segunda, de los montes Atlas en Marruecos, pero las mínimas diferencias en tamaño y colorido no tienen un patrón geográfico definido. Se hallaron fósiles de la especie en el estrato del pleistoceno tardío en Bulgaria, y en el centro de Francia en sedimentos de entre 242 000 y 301 000 años de antigüedad.
ANSWER: Ptyonoprogne
Output: ¿Qué género se asigna el avión roquero en 1850?
The question addresses the necessary ingredients to get to the answer from the context provided. It asks about the type of the rock plane, which is the given answer.
New input case for you: CONTEXT: 5 de enero de 2006 El documental Cita con la muerte, cuya transmisión está programada para este viernes (6) por la estatal televisiva alemana ARD, afirma que La Habana utilizó a Lee Harvey Oswald para asesinar al presidente John F. Kennedy, cuyo deceso se produjo el 22 de noviembre de 1963. La producción costó 850.000 euros y fue producto de tres años de investigaciones en México y los Estados Unidos. Wilhelm Huismann y Gus Russo, realizadores del programa de 90 minutos, afirman que "Oswald fue reclutado por los servicios secretos cubanos, el G-2, y recibió durante su estancia en México en septiembre de 1963 el encargo de disparar contra Kennedy". El futuro asesino viajó a México semanas antes del crimen para encontrarse con oficiales de alta jerarquía del G-2, algo que niega categóricamente Fabián Escalante, ex jefe de ese organismo secreto. Huismann señala que la supuesta lucha entre Kennedy y Fidel Castro la ganó este último, luego de que los estadounidenses fracasaran en su objetivo de matar al mandatario cubano durante la invasión de Bahía de Cochinos en 1961. "Este error político de Kennedy desencadenó una cadena de acontecimientos que, como una antigua tragedia, debía forzosamente acabar con la muerte de uno de los dos protagonistas", dice el realizador. En el programa aparece el testimonio de Óscar Marino, un ex agente cubano que afirma que Oswald "estaba lleno de odio, él tenía la idea. Nosotros lo usamos". También afirma que Cuba temía que Kennedy quisiera matar a Fidel, pero se abstuvo de decir si este último ordenó la muerte del presidente de EUA. Otro de los testimonios filmados en el documental es el de Laurence Keenan, un ex agente del FBI que había sido enviado a México para seguir a Oswald, y quien fue retirado tres días más tarde, por lo que su misión quedó interrumpida. "Quizás fue la peor investigación en la historia del FBI. Me di cuenta de que había sido utilizado. Sentí vergüenza. Perdimos un momento histórico", declaró Keenan, quien añadió que "fue una hora amarga para el FBI. Por motivos políticos debimos callar. Todavía me avergüenzo de ello". Al parecer, el sucesor de Kennedy, Lyndon B. Johnson, ordenó retirar la misión a pesar de estar convencido de la responsabilidad de Cuba en el célebre crimen, para evitar la III Guerra Mundial, según Keenan, quien dijo estar esperanzado en que las futuras generaciones sepan más de la verdad sobre el asesinato cuando la información sea desclasificada en el año 2038. Los realizadores del documental no han sabido todavía de reacciones ni de La Habana ni de Washington, aunque esperan que eso ocurra una vez el programa sea transmitido en Alemania. Incluso, esperan que algún canal de televisión estadounidense lo emita.
ANSWER: Cita con la muerte
Output:
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¿Cómo se titula el documental que desvela la presunta implicación de Cuba en la muerte de Kennedy?
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NIv2
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task1335_sqac_question_generation
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fs_opt
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] |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is a part, portion, or makeup of the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX asks PersonY's teacher<sep>Tail: to provide answers
A:
|
No
| 4
|
NIv2
|
task1210_atomic_classification_madeupof
|
zs_opt
|
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] |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
Q: Prompt: He was born with a silver spoon in his mouth. He's never had to work at the store.
Response 1: Is that true? Mr. Sims never worked here at Quiznos? I just assumed he worked his way up through the ranks.
Response 2: Is this any way to treat your husband?
A: Response 1
****
Q: Prompt: Turtle, I like your gold chain.
Response 1: Me too. I've been around longer than most of you and I got wisdom.
Response 2: Thank you very much. Ah ha, hush that fuss, everybody move to the back of the bus.
A: Response 2
****
Q: Prompt: Please, I beg you to call me Ted.
Response 1: OK, Ted Macaroon, we've got to get this shot.
Response 2: Please say we can smoke. Please say we can smoke.
A:
|
Response 1
****
| 4
|
NIv2
|
task362_spolin_yesand_prompt_response_sub_classification
|
fs_opt
|
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] |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Problem:Sentence: More than 11 {{ thousand }} business establishments in the United States were based on cereals and oilseeds in 1954 .
Word: thousand
Solution:
|
NUM
| 8
|
NIv2
|
task1168_brown_coarse_pos_tagging
|
zs_opt
|
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] |
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Input: Consider Input: I stayed at the house more than I stayed at the workplace when I had the flu because I had to work at the _ .
Output: workplace
Input: Consider Input: The shrimp didn't cook well on the grill, while the steak was perfect, since the _ was an appropriate food for this cooking method.
Output: steak
Input: Consider Input: Alicia was outside in the grass when the rain began to start, and she ended up getting dirty because the _ was heavy.
|
Output: rain
| 2
|
NIv2
|
task033_winogrande_answer_generation
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
Provided the input sentence, you're expected to write a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Don't create questions which have explicit mentions of answers in the text. Instead, it has to be implied from what is given. In other words, we want you to use "instinct" or "common sense". Also, the written questions are not required to have a single correct answer.
Sentence: But in between quippy posters and ads for the film, which is a sequel to 2011's blockbuster "The Muppets" with Jason Segel, there are ingenious "selfies" from the Muppets crew.
Output:
|
How many times a year does the average viewer watch this film?
| 1
|
NIv2
|
task015_mctaco_question_generation_frequency
|
zs_opt
|
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] |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
One example: Sentence: `` Then I return to the United States for engagements at the Hollywood Bowl and in Philadelphia '' , he added {{ . }}
Word: .
Solution is here: .
Explanation: '--' is assigned the period (.) symbol since it denotes a separation.
Now, solve this: Sentence: Forty years ago an English writer , W. L. George , dealt with this subject {{ in }} Eddies of the Day , and said , as an example , that ' Saint George for Merry England ' would not start a spirit half so quickly as ' Strike frog-eating Frenchmen dead ' '' ! !
Word: in
Solution:
|
ADP
| 6
|
NIv2
|
task1168_brown_coarse_pos_tagging
|
fs_opt
|
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] |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
One example: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Solution is here: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.
Explanation: The Spanish sentence is correctly translated into Farsi, because the meaning is preserved.
Now, solve this: Están trabajando en campos de refugiados, con gallinas y vendiendo los huevos por una pequeña suma, o sólo usándolos para alimentar a sus familias, y sintiéndose un sentido de orgullo y empoderamiento porque ya no son incapaces y dependientes de otros con sus vegetales y sus gallinas.
Solution:
|
آنها در اردوگاه های پناهندگان کار می : کنند ، جوجه پرورش می دن و تخم مرغ هاشان را برای کمی پول می فروشند ، یا تنها از آنها برای سیر کردن شکم خانواده شان استفاده می کنند ، و به خودشان افتخار می : کنند و حس توانمندی بهشان دست می ده ، چون دیگر با سبزیجات و جوجه هاشان ، بینوا و وابسته به دیگران نیستند. چون دیگر با سبزیجات و جوجه هاشان ، بینوا و وابسته به دیگران نیستند.
| 6
|
NIv2
|
task1103_ted_translation_es_fa
|
fs_opt
|
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0.42727649211883545
] |
Q: In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that section, otherwise answer with "False"
Review: I have ordered toner for both my laser jet printer and my ink jet printer and am very satisfied with the quality of the product, the unbeatable price and the quick delivery! Thank you
Rating: 1
A:
|
False
| 7
|
NIv2
|
task1311_amazonreview_rating_classification
|
zs_opt
|
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[-83, 53, -48, 8]
Solution: [-80, 50, -50, 10]
Why? The output correctly rounds each integer in the input list to the nearest ten. So this is a good example.
New input: [-667, -671, 828, 804, -848, 85, 234, 556, 701, 40, 42, 887]
Solution:
|
[-670, -670, 830, 800, -850, 80, 230, 560, 700, 40, 40, 890]
| 0
|
NIv2
|
task373_synthetic_round_tens_place
|
fs_opt
|
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] |
In this task, you are given a hateful post in English from online platforms. You are expected to classify the post into two classes: aggresive or non-aggresive. An aggresive post is one that expresses feelings and opinions in an abusive way and tries to dominate others. Note that the URLs in the text have been replaced with [Link].
Example input: Post: This immigrant should be hung or shot! Period! Animal.
Example output: Aggresive
Example explanation: This post is aggresive because it is abusive to immigrants.
Q: Post: UNHCR👉2016 total of 181436 migrants crossed Med to Italy.90334 never requested asylum, vanished. Italians refer to this as “clandestini.”#V4 Report refers to it as “hogwash”.#Italy must stop whining abt “relocation” & start deporting out of Europe. #Visegrad will help deport [Link]
A:
|
Aggresive
| 3
|
NIv2
|
task335_hateeval_classification_aggresive_en
|
fs_opt
|
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] |
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that define what the this logical operator does) of each logical operator between '{}' parenthesis. Here are the definitions of logical operators that you can use while generating command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Input: Consider Input: select the rows whose institution record is arbitrary . the number of such rows is 11 .
Output: eq { count { filter_all { all_rows ; institution } } ; 11 }
Input: Consider Input: select the rows whose nat record fuzzily matches to ury . there is only one such row in the table . the name record of this unqiue row is garcía .
Output: and { only { filter_eq { all_rows ; nat ; ury } } ; eq { hop { filter_eq { all_rows ; nat ; ury } ; name } ; garcía } }
Input: Consider Input: select the rows whose builder record fuzzily matches to g & swr kilmarnock . select the row whose no built record of these rows is 3rd maximum . the class record of this row is 153 .
|
Output: eq { hop { nth_argmax { filter_eq { all_rows ; builder ; g & swr kilmarnock } ; no built ; 3 } ; class } ; 153 }
| 2
|
NIv2
|
task210_logic2text_structured_text_generation
|
fs_opt
|
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