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Categorize the comment on the basis of sexual explicitness. If the comment is sexually explicit output Yes, otherwise output No.
One example: hahahahahahahahhha suck it.
Solution is here: Yes
Explanation: The comment has the word 'suck' in it and is classified as sexually explicit. Hence, it is a positive example
Now, solve this: OH BALLS------or complete LACK there -of-----what nonsense
Solution:
|
Yes
| 6
|
NIv2
|
task1723_civil_comments_sexuallyexplicit_classification
|
fs_opt
|
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] |
Q: Given a premise and two alternatives in Hindi, choose the alternative that is either a plausible cause or effect of the situation described by the premise. The premise is the 'कथन' field and the alternatives are the 'विकल्प A' and 'विकल्प B' fields. The output should either be "विकल्प A" or "विकल्प B" based on your judgment.
कथन: महिला जाग गई।
विकल्प A: उसने नींद की गोलियां ले लीं।
विकल्प B: उसका पति खर्राटे ले रहा था।
A:
|
विकल्प B
| 7
|
NIv2
|
task938_copa_hi_commonsense_reasoning
|
zs_opt
|
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] |
In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
Q: Very dissapionted in this oder.Have had this coffee before from another source,but it wasn't avaliable at the time so I odered it thru ammazon.Not the same coffee.Very stale and weak.My hhusband and I both noticed it.Wish I had not order the 50 count but something smaller
Summary: Cups different
A: False
****
Q: I've been using these for a couple of years now. I highly recommend these if you only need 1 cup of coffee.
Summary: Best decaf coffee I have tried!
A: False
****
Q: First, the product pictured is not what you get. What you really get is are tiny packets called "sticks" suitable for flavoring bottled water. The box doesn't even say what size bottle it is sized for. I'm not keeping it so I can't tell you how it tastes.
Summary: Don't bother
A:
|
True
****
| 4
|
NIv2
|
task590_amazonfood_summary_correction_classification
|
fs_opt
|
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] |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
Input: Consider Input: walk opposite left and run opposite left
Output: I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_RUN
Input: Consider Input: look right twice and walk around right
Output: I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK
Input: Consider Input: walk opposite left thrice after turn around right thrice
|
Output: I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK
| 2
|
NIv2
|
task128_scan_structured_text_generation_command_action_short
|
fs_opt
|
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] |
Given a sentence in Spanish, generate a new Spanish 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.
Example Input: Usted puede utilizar una estufa para cocinar un caldo.
Example Output: Puedes usar una salsa para vender una comida.
Example Input: Si usted quiere ver una bebida entonces usted debe mostrar sus copas.
Example Output: Si quieres ver una película entonces debes usar tus gafas.
Example Input: pero la madera se lleva a menudo para la calefacción.
Example Output:
|
la inducción eléctrica se utiliza eventualmente para la calefacción.
| 3
|
NIv2
|
task417_mickey_es_sentence_perturbation_generation
|
fs_opt
|
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] |
Teacher:Given a sentence in Dutch, generate a new Dutch 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.
Teacher: Now, understand the problem? Solve this instance: De honden renden over het hek.
Student:
|
De honden sprongen over het blik.
| 6
|
NIv2
|
task409_mickey_nl_sentence_perturbation_generation
|
zs_opt
|
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In this task, your goal is to judge a correct answer to a given question based on an associated paragraph and decide if it is a good correct answer or not. A good correct answer is one that correctly and completely answers the question. A bad correct answer addresses the question only partially or incorrectly. If you think the given correct answer is good, indicate it by responding "Yes". Otherwise, respond "No". There are only two types of responses possible: "Yes" and "No".
Example input: Paragraph- Sent 1: Obama was born on August 4, 1961, at Kapiʻolani Maternity & Gynecological Hospital in Honolulu, Hawaii.
Sent 2: He is the only President to have been born in Hawaii.
Sent 3: He was born to a white mother and a black father.
Sent 4: His mother, Ann Dunham (1942-1995), was born in Wichita, Kansas, of mostly English descent, with some German, Irish, Scottish, Swiss, and Welsh ancestry. Question: How old was Obama's mother when he was born? Correct Answer: almost twenty.
Example output: Yes.
Example explanation: Obama was born in 1961. His mother was born in 1942 and 1961-1942=19. Since the given correct answer answers the question fully, it is a good correct answer and so it is labelled with "Yes".
Q: Paragraph- Sent 1: A stranger in town meets pretty young Susan Martinez De La Cruz and accompanies her to a barbecue , where wealthy Jason Carberry is saying a few words for the recently departed Robin Randall , a citizen who got shot .
Sent 2: Jason objects to the stranger 's presence , being Susan 's guardian and protective of her .
Sent 3: He challenges him to a shootout , but the stranger pulls his pistol before Jason 's can even clear the holster .
Sent 4: Calaveras Kate , a saloon singer who 's in love with Jason , is relieved when the stranger declines to pull the trigger .
Sent 5: Rafael Moreno suddenly rides into town and picks a fight with the stranger .
Sent 6: Their brawl continues until the arrival of Judge Wallace Wintrop and his niece , Sheila , who have come to town from back East and deplore all this random violence out West .
Sent 7: The stranger is recognized as Reb Randall , the dead man 's brother .
Sent 8: He is looking for the killer , who could be Rafael , or could be Jason , or could even be Billy Buckett , the coward of the county .
Sent 9: The women hold their breath to see if the men they love will survive .
Question: Could Jason be considered as a priest?
Correct Answer: Yes.
A:
|
Yes.
| 3
|
NIv2
|
task056_multirc_classify_correct_answer
|
fs_opt
|
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] |
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Q: BCveYTUwyscBCqNG, whZqtdoeYTUwysdLNpew
A:
|
eYTUwys
| 4
|
NIv2
|
task600_find_the_longest_common_substring_in_two_strings
|
zs_opt
|
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] |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
One example is below.
Q: در ابتدا، خدا آسمانها و زمین را آفرید.
A: In the beginning God created the heaven and the earth.
Rationale: This is a good example. The above sentence is correctly translated from Persian to English.
Q: «برای خود بتها مسازید، و تمثال تراشیده و ستونی به جهت خود برپامنمایید، و سنگی مصور در زمین خود مگذاریدتا به آن سجده کنید، زیرا که من یهوه خدای شماهستم.
A:
|
And if there remain but few years unto the year of jubile, then he shall count with him, and according unto his years shall he give him again the price of his redemption.
| 9
|
NIv2
|
task654_bible_fa_en_translation
|
fs_opt
|
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] |
Detailed Instructions: You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Q: Statement: ഉണ്ണിയുടെ ( <MASK> ) നേതൃത്വത്തിലുള്ള കലാദർഷനയിലെ കലാകാരന്മാർ അതിന്റെ സ്ഥാപകനായ ഫാ. തറക്കണ്ടത്തിന്റെ( ഇന്നസെന്റ് ) അറുപതാം ജന്മദിനം ആഘോഷിക്കാൻവീണ്ടും ഒന്നിക്കുന്നു. . അവിടെ വിയൂർ സെൻട്രൽ ജയിലിൽ മിമിക്സ് പ്രോഗ്രാം നടത്താൻ ക്ഷണം ലഭിക്കുന്നു. കസർഗോഡ് ഖാദർ ഭായിയുടെ മകൻ കാസിം ഭായ് നിലവിൽ ഇതേ ജയിലിലാണ്. അറസ്റ്റിന് പിന്നിലുണ്ടായിരുന്ന കലദർശന സേനയോട് പ്രതികാരം ചെയ്യുന്നു. പരിപാടിക്കിടെ അദ്ദേഹം അവരെ ആക്രമിക്കുന്നു. അടുത്ത ദിവസം കാസിം ഭായിയെ കൊലപ്പെടുത്തിയ നിലയിൽ കണ്ടെത്തി. സംശയം കാലദർശന ടീമിൽ പതിക്കുന്നു. കൊലപാതക രഹസ്യത്തിന്റെ ചുരുളഴിയുന്നത് കഥയുടെ ബാക്കി ഭാഗമാണ്.
Option A: ഇന്നസെന്റ്
Option B: തെസ്നിഖാൻ
Option C: സുരാജ്
Option D: ജഗദീഷ്
A:
|
ജഗദീഷ്
| 9
|
NIv2
|
task949_wiki_cloze_ml_multiple_choice_question_answering
|
zs_opt
|
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] |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Pero una de las cosas que es de gran importancia cuando pensamos en células madre es que obviamente las células madre pueden ser muchas cosas diferentes, y quieren ser muchas cosas diferentes, por lo que queremos estar seguros de que el ambiente en que las colocamos tenga la información suficiente para que devengan el tipo correcto de tejido especializado.
A:
|
Ma uno degli aspetti più importanti quando pensiamo alle cellule staminali è che queste cellule possono essere tante cose, vogliono essere tante cose, e noi vogliamo essere sicuri che l'ambiente nel quale le immettiamo abbia sufficienti informazioni da permettere che diventino il giusto tipo di tessuto specifico.
| 7
|
NIv2
|
task1101_ted_translation_es_it
|
zs_opt
|
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] |
Teacher:In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Teacher: Now, understand the problem? Solve this instance: In early 2005, Frusciante entered the studio to work on his fifth and final studio album with the Chili Peppers, Stadium Arcadium. His guitar playing is dominant throughout the album, and he provides backing vocals on most of the tracks. Although usually following a "less is more" style of guitar playing, he began using a full twenty-four track mixer for maximum effect. In the arrangements, he incorporates a wide array of sounds and playing styles, similar to the funk-influenced Blood Sugar Sex Magik or the more melodic By the Way. He also changed his approach to his playing, opting to contribute solos and allow songs to be formed from jam sessions. In an interview from Guitar World, Frusciante explained how he approached his guitar solos for their album Stadium Arcadium completely differently from those for their previous albums. On Blood Sugar Sex Magik and Californication, Frusciante had a general idea how he wanted his guitar solos to sound. For Stadium Arcadium, almost every guitar solo was completely improvised by Frusciante on the spot. Several reviews have stressed that the influence of Hendrix is evident in his solos on the album, with Frusciante himself backing this up. He also expanded the use of guitar effects throughout the album, and used various other instruments such as the synthesizer and mellotron. He worked continuously with Rubin over-dubbing guitar progressions, changing harmonies and using all his technical resources.Frusciante began a series of collaborations with friend Omar Rodríguez-López and his band The Mars Volta, by contributing guitar and electronic instrumentation to song "Cicatriz ESP" off their album De-Loused in the Comatorium. He also contributed guitar solos on their 2005 album Frances the Mute. In 2006, he helped The Mars Volta complete their third album Amputechture by playing guitar on seven of its eight tracks. In return, Rodriguez-Lopez has played on several of Frusciante's solo albums, as well as making a guest appearance on Stadium Arcadium.
Student:
|
What is the name of the person who expanded the use of guitar effects throughout the album?
| 6
|
NIv2
|
task596_mocha_question_generation
|
zs_opt
|
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instruction:
In this task, you are given an article. Your task is to summarize the article in a sentence.
question:
Now, Sir David Attenborough has uncovered the world's biggest known dinosaur for his latest documentary.
The new species was 37 metres long - about the length of four London buses.
He told Newsround he believes there's a very small chance the prehistoric beasts could be brought back from extinction.
But he said that it would be very expensive, and it would be better to concentrate on looking after the animals we already have.
You can watch the first of Sir David's new series 'Attenborough And The Giant Dinosaur' on Sunday 24 January, at 6.30pm on BBC One.
answer:
They stalked the earth around a hundred million years ago and scientists are constantly looking for new dinosaur fossils.
question:
Whistleblower Herve Falciani has said the UK government should have known about the scandal in 2010.
Committee chairman Andrew Tyrie said the committee was concerned about the allegations and had decided to take oral evidence from both HSBC and HMRC.
Meanwhile, the BBC understands the Treasury is preparing legislation to tighten the tax evasion laws.
BBC business editor Kamal Ahmed has been told that it is preparing legislation to tighten the rules on undeclared income held in offshore accounts.
The chancellor made it clear last April that he would like to toughen the rules over tax evasion including offshore banking.
Since then there has been international agreement on the automatic exchange of information regarding tax matters, but no unilateral steps from the UK government.
Mr Tyrie said the committee would be probing whether banks had made adequate progress in changing their own practices.
"Banks have repeatedly told the committee that, since the crisis, they have put in place reforms to ensure that they operate on the basis of sharply improved standards," he said
"The committee will need reassurance that they have done so in private banking."
Mr Falciani, a former IT worker for HSBC, said UK tax authorities would have known about the stolen list of clients of HSBC's Swiss private bank when it was given to French officials.
The BBC has also learned the UK tax authority is to expand its inquiry. HMRC will meet the police and the Serious Fraud Office later in the week.
Speaking to BBC Radio 4's Today programme, Mr Falciani said French authorities had got in touch with HM Revenue & Customs and passed on information in 2010.
He said the UK government should have known the bank itself was doing wrong in 2010.
"By that time I (had) already declared and explained the problems that were happening," he said.
"It was made public at that time and of course I already at that time explained the major, huge issues we were foreseeing inside HSBC," he added.
Asked if the information Mr Falciani had provided in 2010 was also about the behaviour of the bank, as well as individuals, he said: "It was exactly about the behaviour and containing all the required information for an internal audit."
He said there was much more to be shared and that co-operation between European tax authorities would reveal far more evidence.
His latest revelations follow angry exchanges on Wednesday, when MPs accused tax officials of failing to deal with issues adequately.
Top officials from HM Revenue & Customs were shouted down by MPs, angry at what they said was a lack of urgency in tackling the HSBC tax-dodging scandal.
Margaret Hodge, chairwoman of the Public Accounts Committee, accused Lin Homer, HMRC chief executive, of a "pathetic response".
Herve Falciani's interview on the Today programme has raised two important issues.
Firstly, that he offered information in 2010 to UK authorities that HSBC was involved in aiding and abetting tax evasion for its clients.
The government says that all it knew about were the publicly reported facts that clients of HSBC's Swiss bank were being investigated over their tax affairs.
And that meant there was no reason to prevent Lord Green, the former chairman of HSBC, becoming the new trade minister.
Secondly, that HSBC's Swiss bank controls in the 2000s were in a mess and that failing computer systems made it impossible for the bank to have "sufficient oversight".
This is vital, because allegations of lack of control and oversight are toxic for any bank and its board.
Don't forget, HSBC was fined nearly £1.2bn for governance failures over money laundering allegations in its Mexico operation.
HSBC says that controls have been improved in its Swiss operation. The question is: if Mr Falciani is correct, why were they allowed to get into such a mess in the first place?
Ms Homer denied she had failed to take firm action against UK citizens hiding money in HSBC accounts in Geneva.
She said it was "absolutely not the case" she was failing the UK taxpayer.
Ms Homer explained why there had been only one prosecution of someone whose hidden accounts in Switzerland had been revealed.
She said that most of the information leaked via the French authorities in 2010, which involved about 3,600 UK individuals, was incomplete or "dirty" data.
Of these, 3,200 individuals had been traced and, of the 1,100 most serious cases - which HMRC had chosen to pursue - only 130 were now outstanding.
From the rest of those cases, £135m had been recovered, Ms Homer said.
"We were speedy and on the case," she told the MPs.
She explained that in fact, two-thirds of the total group of UK-based HSBC account holders "were found to be compliant" with UK tax rules, in some cases because they had non-dom status.
answer:
The UK's Treasury Committee is to examine allegations that HSBC's Swiss private bank helped clients evade tax.
question:
The 28-year-old Czech Republic international has three caps and had been on trial with the Tigers.
He could make his competitive debut against Aston Villa on Saturday, 5 August.
"Of course I am very happy to sign the contract with Hull because it has always been my dream to play in England," he told the club website.
The centre-back has been with Hull during their pre-season training camp in Portugal and played in their 1-0 friendly win over Benfica.
Hull have also paid Shrewsbury an undisclosed fee for 20-year-old goalkeeper Callum Burton, who has signed a one-year deal with the option of a further year.
Burton will initially be part of Hull's development squad.
Find all the latest football transfers on our dedicated page.
answer:
|
Hull City have signed Sparta Prague defender Ondrej Mazuch for an undisclosed fee on a two-year deal.
| 9
|
NIv2
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task1290_xsum_summarization
|
fs_opt
|
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] |
Teacher:In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Teacher: Now, understand the problem? Solve this instance: Beginning: Waki decided to visit a national park. Ending: Waki was arrested by the park ranger and sued by the state.
Student:
|
Waki carved his initials into a boulder in the park.
| 6
|
NIv2
|
task067_abductivenli_answer_generation
|
zs_opt
|
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] |
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
One example is below.
Q: 1 3/4 cups all purpose flour, 1/4 cup finely ground blanched almonds, 1 teaspoon grated lemon zest, 1/2 cup confectioners sugar, 2 sticks unsalted butter, almost melted, 4 eggs, lightly beaten, 2 cups granulated sugar, 1/4 cup flour, 1/2 teaspoon baking powder, 2 teaspoons grated lemon zest, 1/3 cup fresh lemon juice, Candied violets for garnish, optional
A: flour, ground blanched almonds, lemon zest, confectioners sugar, butter, eggs, sugar, flour, baking powder, lemon zest, lemon juice, Candied violets
Rationale: Given the required ingredients, the ner of the recipe is generated. As the ingredients contain the quantities, if we just remove quantities from ingredients, we get the ner.
Q: 8 cloves, 2 sticks cinnamon, 5 c. water, 1 1/2 c. sugar, 1 concentrated orange juice, 12 to 14 tea bags, balance of can concentrated orange juice, 6 Tbsp. lemon juice, 1/2 small can pineapple juice
A:
|
cloves, cinnamon, water, sugar, orange juice, orange juice, lemon juice, pineapple juice
| 9
|
NIv2
|
task570_recipe_nlg_ner_generation
|
fs_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]: Thanks for your time, there is a connecting flight available with fare 200 in economy class of Hawaiian airline.
[A]: agent
[Q]: I am Steven Robinson.
[A]: customer
[Q]: I have booked your ticket in the flight-1003.
[A]:
|
agent
| 5
|
NIv2
|
task575_air_dialogue_classification
|
fs_opt
|
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] |
In this task, you're given statements in native Kannada language. The statement can be written with the Kannada alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts do not include any form of offense or insult. Label the post as "Offensive" if the post contains offensive language.
Q: Marketing swalpa bekittu ansutte
A:
|
Offensive
| 4
|
NIv2
|
task1539_kannada_offenseval_dravidian_classification
|
zs_opt
|
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] |
Detailed Instructions: A text is given in Tamil. Translate it from the Tamil language to the Urdu language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: இந்தியா-இஸ்ரேல் வர்த்தக மாநாட்டில் பிரதமர் தெரிவித்த கருத்துகள் (ஜனவரி 15, 2018)
Solution: بھارت-اسرائیلی کامرس کانفرنس پر وزیراعظم تبصرے (15 جنوری، 2018)
Explanation: Correct translation for given sentence. Input sentence means 'PM comments on the India-Israeli Commerce Conference (January 15, 2018)' which is the same as the output sentence.
Problem: 2015-16-ம் ஆண்டில், 5 வயதுக்குள்ளானவர்களின் இறப்பு விகிதத்தின் குறைவு 9.
Solution:
|
3فیصد رہا۔2016 میں مجموعی تولیدی شرح میں (ٹی ایف آر ) 2.
| 4
|
NIv2
|
task1035_pib_translation_tamil_urdu
|
fs_opt
|
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] |
Detailed Instructions: Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Q: Personality: I sometimes wonder why I am not married.
I like eating healthy foods.
I have brown hair.
I love fall and winter.
I like sleeping in.
Chat history: -Hi, how are you doing today?
-Hi, I'm great. What do you do for a living?
-I am a housekeeper for three families in my area. What do you do?
-I am an environmental engineer, and have outdoor hobbies.
-I love the outdoors. Especially in the fall and winter. Do you ice skate?
-I like hiking. I take photos in the outdoors.
-Cool, I was never good at photography. I'll bet you take great pics on the hiking trails.
-Yes, and it is a good hobby for an environmental engineer.
-True. Do you like gardening? I love growing my own vegetables.
-I've never done that. It sounds fun and healthy though.
A:
|
Yes, I love eating healthy foods.
| 9
|
NIv2
|
task1729_personachat_generate_next
|
zs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Spanish, generate a new Spanish 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.
El efecto de tomar una llamada telefónica es hablar con alguien.
Output:
|
El efecto de tomar una posición telefónica es hablar con alguien.
| 1
|
NIv2
|
task417_mickey_es_sentence_perturbation_generation
|
zs_opt
|
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] |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Example: E eu continuo a pensar que o transporte é o centro deste universo.
Example solution: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Example explanation: The Portugese sentence is correctly translated into Farsi, because the meaning is preserved.
Problem: olhei para mim mesma no espelho. Tinha uma mecha de cabelo grisalho.
|
Solution: جلوی آینه به خودم نگاه کردم ٬ یک دسته موی سفید من شده بود.
| 5
|
NIv2
|
task1282_ted_translation_pt_fa
|
fs_opt
|
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] |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Q: אתם יודעים, ארתור רובינשטיין, הפסנתרן, נהג לומר ש "" בכל מקום בעולם, אנשים עם שפעת הולכים לרופא.
A:
|
Arthur Rubinstein, o pianista, adoitaba dicir que "" en todas partes do mundo, a xente cando ten gripe, vai ao médico.
| 4
|
NIv2
|
task1110_ted_translation_he_gl
|
zs_opt
|
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] |
Detailed Instructions: You are given an unfinished English sentence, and you need to predict the rest of it.
See one example below:
Problem: chapter one
Solution: missus rachel lynde is surprised missus rachel lynde lived just where the avonlea main road dipped down into a little hollow fringed with alders and ladies eardrops and traversed by a brook
Explanation: This is the original sentence 'chapter one missus rachel lynde is surprised missus rachel lynde lived just where the avonlea main road dipped down into a little hollow fringed with alders and ladies eardrops and traversed by a brook' So, given 'chapter one,' we have correctly generated 'missus rachel lynde is surprised missus rachel lynde lived just where the avonlea main road dipped down into a little hollow fringed with alders and ladies eardrops and traversed by a brook' completing the sentence.
Problem: chapter one missus rachel lynde is surprised missus rachel lynde lived just where the avonlea main road
Solution:
|
dipped down into a little hollow fringed with alders and ladies eardrops and traversed by a brook
| 4
|
NIv2
|
task964_librispeech_asr_text_auto_completion
|
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 can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice number of the selected sentence.
Q: Statement: The verdict? Choices: 1. They didn't find the verdict. 2. The decision? 3. The court's final judgement?
A:
|
2
| 9
|
NIv2
|
task200_mnli_entailment_classification
|
zs_opt
|
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] |
You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Example Input: TraderMoni: Igbákejì ààrẹ Osinbajo ní owóòyá TraderMoni kìí ṣe owó ìbò rírà
Example Output: Politics
Example Input: Kano couple: Bí ìyàwó mi ẹni ọdún 84 bá bí ìbejì, Hussaina ati Hassana la ó sọ wọ́n
Example Output: Nigeria
Example Input: NIgeria 2019 Elections: Clinton ní kí wọn má fojú òṣèlú wo àbẹ̀wò òun
Example Output:
|
Politics
| 3
|
NIv2
|
task612_yorubabbc_classification
|
fs_opt
|
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] |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language.
Input: Consider Input: A child with behavioral problems pulls the bowl of lentils to the ground. His parents force him to pick up what he has thrown away and to scrub the floor of the kitchen, what is the name of this type of punishment ?
Output: Un niño con problemas de comportamiento tira el plato de lentejas al suelo. Sus padres le obligan a recoger lo que ha tirado y a fregar el suelo de la cocina ¿cómo se denomina esta modalidad de castigo?
Input: Consider Input: Which of the following drugs is indicated in the treatment of severe acute asthma ?
Output: ¿Cuál de los siguientes fármacos está indicado en el tratamiento de asma aguda grave?
Input: Consider Input: Question linked to image nº2 A 40-year-old man with arterial hypertension, in treatment with enalapril, amlodipine and hydrochlorothiazide at full doses. In consultation you have blood pressure figures above 150/100 mmHg and the result of 24-hour Ambulatory Blood Pressure Monitoring (ABPM) is shown in the image. The shaded strip on the right indicates the sleep period. Ensures compliance with the treatment, exercise daily and eat with little salt. Do not take medications that can raise blood pressure. What is the most correct attitude at this time?
|
Output: Pregunta vinculada a la imagen nº2 Hombre de 40 años con hipertensión arterial, en tratamiento con enalapril, amlodipino e hidroclorotiazida a dosis plenas. En consulta tiene cifras de presión arterial por encima de 150/100 mmHg y el resultado de la Monitorización Ambulatoria de la Presión Arterial (MAPA) de 24 horas se muestra en la imagen. La franja sombreada de la derecha indica el periodo de sueño. Asegura cumplir bien el tratamiento, hace ejercicio a diario y come con poca sal. No toma medicamentos que puedan subir la presión arterial. ¿Cuál es la actitud más correcta en este momento?
| 2
|
NIv2
|
task1432_head_qa_language_translation_en_to_es
|
fs_opt
|
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In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "against". If there's no causal relationship between the two, answer with "none".
Example: Process: -Forest fires burn forests -The animals living in the forest have fewer places to hide -Predators can now find their prey eaiser -Birds will fly away from the area -Waters warm up which hurts the fish swimming in them.
Question: What is the effect of people are less careful about putting out their campfires on a greater negative effect on animals.?
Example solution: for
Example explanation: If people are less careful about putting out campfires, it will result in a greater negative effect on animals.
Problem: Process: -Air enters the nose or mouth and travels through the windpipe into the lungs -The lungs have a series of smaller and finer tubes and sacs -Air reaches the smallest and finest air sacs called alveoli -Oxygen travels from the alveoli into the blood -Oxygen-rich blood is carried to the heart -Oxygen-rich blood is pumped throughout the body by the heart -Cells take in the oxygen rich blood and release carbon dioxide rich blood -The carbon dioxide rich blood travels to the lungs -Carbon dioxide travels through the throat and is exhaled.
Question: What is the effect of The animal's heart rate and breathing do not slow down on a greater amount of oxygen being delivered to the blood stream.?
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Solution: none
| 5
|
NIv2
|
task1727_wiqa_what_is_the_effect
|
fs_opt
|
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In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
One example is below.
Q: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. He is one of the first American composers of international renown, though his music was largely ignored during his life, and many of his works went unperformed for many years. Over time, he came to be regarded as an "American original". He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Context_2 : Daniel Evan Freeman (born 27 April 1959) is an American musicologist who specializes in European art music of the eighteenth century, in particular the musical culture of eighteenth-century Prague and the Bohemian lands. He is also active as a pianist and music editor. Context_3 : Art music (also known as Western classical music, cultivated music, serious music, canonic music, and more flippantly, real music or normal music) is an umbrella term that refers to musical traditions, implying advanced structural and theoretical considerations and a written musical tradition. "Serious" or "cultivated" music are terms frequently used as a contrast for ordinary, everyday music (popular and folk music, also called "vernacular music"). After the 20th century, art music was divided into two extensions: "serious music" and "light music". Context_4 : In the history of European art music, the term "common practice period" refers to the era between the formation and the dissolution of the tonal system. Though there are no exact dates for this phenomenon, most features of the common-practice period persisted from the mid to late baroque period, through the Classical and Romantic periods, or roughly from around 1650 to 1900. While certain prevailing patterns and conventions characterize the music of this period, the time period also saw considerable stylistic evolution. Some conventions evolved during this period that were rarely employed at other times during what may still be labeled "common practice" (for example, Sonata Form). Thus, the dates 1650–1900 are necessarily nebulous and arbitrary borders that depend on context. The most important unifying feature through this time period concerns a harmonic language to which modern music theorists can apply Roman numeral analysis. Context_5 : The Festival Oude Muziek Utrecht ("Utrecht Early Music Festival") is an annual music festival that showcases and celebrates early European art music. The ten-day festival takes place in the Dutch city of Utrecht, and begins in August. The programme comprises concerts, activities, lectures, exhibitions, and a symposium. Context_6 : Assaf Shelleg (Hebrew: אסף שלג ), is a musicologist and pianist, a senior lecturer of musicology at The Hebrew University of Jerusalem. He was previously the Schusterman Visiting Assistant Professor of Musicology and Jewish Studies in the Department of Religious Studies at the University of Virginia (2011–14), and had taught prior to that as the visiting Efroymson Scholar in the Jewish, Islamic & Near Eastern Languages and Cultures Department at Washington University in St. Louis (2009–11). Shelleg specializes in twentieth-century Jewish and Israeli art music and has published in some of the leading journals in both musicology and Israel Studies on topics ranging from the historiography of modern Jewish art music to the theological networks of Israeli art music. Shelleg's book, "Jewish Contiguities and the Soundtrack of Israeli History", appeared in November 2014 with Oxford University Press. The book studies the emergence of modern Jewish art music in central and Western Europe (1910s-1930s) and its translocation to Palestine/Israel (1930s-1970s), exposing the legacies of European antisemitism and religious Judaism in the making of Israeli art music. Moving to consider the dislocation of modern Jewish art music the book examines the paradoxes embedded in a Zionist national culture whose rhetoric negated its pasts, only to mask process of hybridizations enchained by older legacies. "Jewish Contiguities" has won the 2015 Engle Prize for the study of Hebrew Music, and the 2016 Jordan Schnitzer Book Award. Context_7 : Vocal harmony is a style of vocal music in which a consonant note or notes are simultaneously sung as a main melody in a predominantly homophonic texture. Vocal harmonies are used in many subgenres of European art music, including Classical choral music and opera and in the popular styles from many Western cultures ranging from folk songs and musical theater pieces to rock ballads. In the simplest style of vocal harmony, the main vocal melody is supported by a single backup vocal line, either at a pitch which is above or below the main vocal line, often in thirds or sixths which fit in with the chord progression used in the song. In more complex vocal harmony arrangements, different backup singers may sing two or even three other notes at the same time as each of the main melody notes, mostly with consonant, pleasing-sounding thirds, sixths, and fifths (although dissonant notes may be used as short passing notes). Context_8 : David Wallis Reeves (February 14, 1838 – March 8, 1900), also known as D. W. Reeves or Wally Reeves, was an American composer, cornetist, and bandleader. He developed the American march style, later made famous by the likes of John Philip Sousa, and his innovations include adding a countermelody to the American march form in 1876. Sousa called Reeves "The Father of Band Music in America", and stated he wished he himself had written Reeves' "Second Regiment Connecticut National Guard March". Charles Ives also borrowed from the "Second Connecticut" on four occasions. Context_9 : "Indian classical music is one of many forms of art music that have their roots in particular regional cultures. For other "classical" and art music traditions, see List of classical and art music traditions." Context_10 : Progressive music is music that subverts genre and expands stylistic boundaries outwards. Rooted in the idea of a cultural alternative, musical progressiveness embodies a continuous move between explicit and implicit references to genres and strategies derived from various cultural domains, such as European art music, Celtic folk, West Indian, or African. The word "progressive" comes from the basic concept of "progress", which refers to development and growth by accumulation, and is often deployed in numerous music genres such as progressive country, progressive folk, progressive jazz, and (most significantly) progressive rock. fact_1 : Charles Ives also borrowed from the "Second Connecticut" on four occasions. fact_2 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. fact_3 : He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Answer: 1874May
A: What is the birthyear of the American composer that borrowed from "Second Connecticut" on four occasions and combined American popular and church-music traditions with European art music?
Rationale: From the fact_1 from context _8, and fact _2 and fact _3 from context _1, we can arrive at 1874 May which is accurate answer of generated question.
Q: Context_1 : Sir Noël Peirce Coward (16 December 189926 March 1973) was an English playwright, composer, director, actor and singer, known for his wit, flamboyance, and what "Time" magazine called "a sense of personal style, a combination of cheek and chic, pose and poise". Context_2 : The Noël Coward Society is an international society founded with the agreement of Coward's literary agent and Estate to celebrate the life and work of Sir Noël Coward. Context_3 : Fools Die is a 1978 novel by Italian American author Mario Puzo. Played out in the worlds of gambling, publishing and the film industry, Merlyn and his brother Artie obey their own code of honor in the ferment of contemporary America, where law and organized crime are one and the same. Set in New York, Hollywood, and Las Vegas, Mario Puzo considered "Fools Die" to be his personal favorite. The paperback rights to the book were sold in 1978 by the publisher, G. P. Putnam's Sons, to New American Library for a then record $2.55 million. Context_4 : "I Went to a Marvellous Party" (sometimes known as "I've Been to a Marvellous Party") is a song with words and music by Noël Coward, written in 1938 and included in the revue, "Set to Music". Although a melody exists, the text is most often recited over a piano accompaniment. Out of Noël Coward's approximately 300 songs, this piece is one of his most popular, ranking among the top 30 in royalty potential. Context_5 : London Calling! was a musical revue, produced by André Charlot with music and lyrics by Noël Coward, which opened at London's Duke of York's Theatre on 4 September 1923. It is famous for being Noël Coward's first publicly produced musical work and for the use of a 3-D stereoscopic shadowgraph as part of its opening act. The revue's song "Parisian Pierrot", sung by Gertrude Lawrence, was Coward's first big hit and became one of his signature tunes. Context_6 : Mario Gianluigi Puzo ( ; ] ; October 15, 1920 – July 2, 1999) was an American author, screenwriter and journalist of Italian descent. He is known for his crime novels about the Mafia, most notably "The Godfather" (1969), which he later co-adapted into a three-part film saga directed by Francis Ford Coppola. He received the Academy Award for Best Adapted Screenplay for the first film in 1972 and "Part II" in 1974. Puzo also wrote the original screenplay for the 1978 "Superman" film. His last novel, "The Family", was released posthumously in 2001. Context_7 : Graham Payn (25 April 1918 – 4 November 2005) was a South African-born English actor and singer, also known for being the life partner of the playwright Noël Coward. Beginning as a boy soprano, Payn later made a career as a singer and actor in the works of Coward and others. After Coward's death, Payn ran the Coward estate for 22 years. Context_8 : Noël Coward at Las Vegas is a 1955 live album by Noël Coward. Context_9 : Words and Music is a musical revue with sketches, music, lyrics and direction by Noël Coward. The revue introduced the song "Mad About the Boy", which, according to The Noël Coward Society's website, is Coward's most popular song. The critics praised the show's sharp satire and verbal cleverness. Context_10 : Twentieth-Century Blues: The Songs of Noël Coward is a 1998 Noël Coward tribute album curated by Neil Tennant, who invited prominent artists of the day to reinterpret Noël Coward’s songs for the late 20th century. fact_1 : Sir Noël Peirce Coward (16 December 189926 March 1973) was an English playwright, composer, director, actor and singer, known for his wit, flamboyance, and what "Time" magazine called "a sense of personal style, a combination of cheek and chic, pose and poise". fact_2 : Mario Gianluigi Puzo ( ; ] ; October 15, 1920 – July 2, 1999) was an American author, screenwriter and journalist of Italian descent. Answer: no
A:
|
Were Noël Coward and Mario Puzo of the same nationality?
| 9
|
NIv2
|
task191_hotpotqa_question_generation
|
fs_opt
|
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] |
Teacher:A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: ऐसे लाखों परिवार हमारे देश में हैं।
Student:
|
अशी लाखो कुटुंबे देशात आहेत.
| 6
|
NIv2
|
task1081_pib_translation_hindi_marathi
|
zs_opt
|
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] |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: Consider Input: 「彼が私を測っているときに、クーデターのせいで景気が悪くなったかと尋ねました」
Output: "នៅពេលគាត់បានវាស់ខ្លួនខ្ញុំ ខ្ញុំបានសួរអំពីមុខរបរគាត់ មានបានធ្លាក់ចុះដោយសាររដ្ឋប្រហារនេះទេ។"
Input: Consider Input: ほとんどの業界専門家は懐疑的なままで、そのプログラムは運営するには費用がかかりすぎて厄介で、目に見える商業的な利点を何も生み出さないのではないかと危惧している。
Output: អ្នកជំនាញឧស្សាហកម្មភាគច្រើននៅសង្ស័យនិងខ្លាចថាកម្មវិធំនឹងអាចថ្លៃខ្លាំងនិងពិបាកគ្រប់គ្រងហើយនឹងមិនអាចបង្កើតភាពជឿនលឿនផ្នែកពាណិជ្ជកម្មជាក់ស្ដែងទេ។
Input: Consider Input: ルイス氏は、向かってくるオートバイの速度によって兵士が威嚇射撃をする時間がなかったのではないかと考えている。
|
Output: ឡឺវីសឆ្ងល់ថាពួកទាហានមានពេលគ្រប់គ្រាន់បាញ់ព្រមានចំពោះល្បឿនលឿននៃម៉ូតូដែលបើកសំដៅមក។
| 2
|
NIv2
|
task1121_alt_ja_khm_translation
|
fs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in 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
Example: Who were the builders of the mosque in Herat with fire temples ?
Output: WP VBD DT NNS IN DT NN IN NNP IN NN NNS .
This is a good example. All of the POS tags are correct.
New input case for you: When was the derivative of the Ca.101 in service ?
Output:
|
WRB VBD DT NN IN DT NNP IN NN .
| 1
|
NIv2
|
task345_hybridqa_answer_generation
|
fs_opt
|
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] |
You are given a sentence and a question. You're expected to write an **incorrect** answer to the given question, such that it is relevant to the given sentence. Your answer should not be completely out of context. Try to write short answers with one or two words.
Q: Sentence: Franklin found that if he slides a turtle on its back across a pool table, it slides farther than if he were to slide the turtle across a pile of leaves. He realizes this because there is less resistance on the pool table. Question: The difference in the length that the turtle slides across both surfaces can be attributed to which surface being rougher?
A:
|
pool table
| 4
|
NIv2
|
task1383_quarel_write_incorrect_answer
|
zs_opt
|
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You are given a sentence and a question in the input. The information provided in the sentence should be enough to answer the question. You're expected to write the correct answer. Do not use any facts other than those provided in the sentence.
One example: Sentence: GOP leaders submitted the new offer Tuesday afternoon in an effort to appease Democrats, whose votes are needed to avert a shutdown of federal agencies, several House and Senate aides said. Question: Who has to be appeased to keep the government open?
Solution is here: Democrats.
Explanation: The sentence says that "Democrats" have to be appeased, which answers the question.
Now, solve this: Sentence: I saw snakes.
Question: What kind of animals were at the zoo?
Solution:
|
Snakes.
| 6
|
NIv2
|
task051_multirc_correct_answer_single_sentence
|
fs_opt
|
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] |
Instructions: In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Input: A company which causes long lasting products will likely? (A) Sell less (B) Produce more (C) Produce Less (D) Sell more
Output:
|
A
| 3
|
NIv2
|
task1286_openbookqa_question_answering
|
zs_opt
|
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] |
Given a sentence in Italian, generate a new Italian 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.
Input: Consider Input: Alla gente non piacciono per qualche motivo.
Output: La gente non li pensa per qualche motivo.
Input: Consider Input: Se possedete per aprire un regalo allora dovreste ottenere le forbici.
Output: Se si vuole perdere un regalo allora si dovrebbe fidarsi delle forbici.
Input: Consider Input: L'effetto di seppellire il gatto è quello di fermarlo dalla vista per sempre.
|
Output: L'effetto di seppellire il gatto è quello di spogliarlo dalla vista per sempre.
| 2
|
NIv2
|
task408_mickey_it_sentence_perturbation_generation
|
fs_opt
|
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] |
A text is given in Bengali. Translate it from the Bengali language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: సమస్యల కు పరిష్కారాలు మనల్ని స్వావలంబన ను వేగవంతం చేయడానికి ప్రోత్సహిస్తాయి.
A:
|
সমাধান থেকে স্বাবলম্বনের দিকে গতি বাড়ে।
| 4
|
NIv2
|
task1032_pib_translation_telugu_bengali
|
zs_opt
|
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] |
You will be given a topic and an argument. Your task is to answer whether the topic and the argument are related or not. A related argument should provide more details about the outcomes of the topic. If the argument refers to or suggests a consequence related to that topic, answer with "yes"; otherwise, answer with "no".
Input: Consider Input: topic: DC handgun ban
argument: Alternative measures can be taken in place of a ban to stem crime and murder.
Output: no
Input: Consider Input: topic: Primaries in US elections
argument: Party bosses are legally permitted to exercise power in primaries
Output: no
Input: Consider Input: topic: Public health insurance option
argument: There are not enough votes to pass a public insurance plan.
|
Output: no
| 2
|
NIv2
|
task514_argument_consequence_classification
|
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 a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Comment: boohoo
Output:
|
Non-insult
| 1
|
NIv2
|
task328_jigsaw_classification_insult
|
zs_opt
|
[
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] |
Teacher: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Category: WHO'S BUYING?
Clue: YouTube, in 2006
Solution: google
Reason: Google acquired, i.e. bought, YouTube in 2006 for $1.65 billion.
Now, solve this instance: Category: WHAT A KNOCKOUT!
Clue: In 1972 this Panamanian's "Hands of Stone" stopped Ken Buchanan to win the lightweight crown
Student:
|
roberto duran
| 2
|
NIv2
|
task306_jeopardy_answer_generation_double
|
fs_opt
|
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] |
instruction:
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
question:
5127 + 1503 + 9610 + 3348
answer:
-9334
question:
4224 + 9155 + 116 - 5148 - 7166 - 7397 - 3883 - 2139
answer:
20686
question:
102 + 919 - 3999
answer:
|
3182
| 9
|
NIv2
|
task085_unnatural_addsub_arithmetic
|
fs_opt
|
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] |
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
To clean a TV screen.
|
Use vinegar and water in a spray bottle with a microfiber cloth.
| 0
|
NIv2
|
task080_piqa_answer_generation
|
zs_opt
|
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] |
Given the task definition and input, reply with output. Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Crapped out after a year. I purchased this for my phone and it worked really well at first, but then after about a year, it just totally died on me. I lost photos and other files and could not recover them. Other posts talk about fakes, but I'm pretty sure this one was purchased directly from Amazon and not a seller.
|
Negative Review
| 5
|
NIv2
|
task1343_amazon_us_reviews_rating
|
zs_opt
|
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] |
Teacher: In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Passage: I submitted the hit. The hit was approved, and then I was paid. Question: What happened after I submitted the hit? Events: ['submitted', 'approved', 'paid'].
Solution: approved, paid
Reason: From the passage, we can infer that events approved and paid happened after the event submitted. Therefore, the answer to this question is "approved, paid".
Now, solve this instance: Passage: In Newark, U.S. Attorney Samuel A. Alito said, "I don't think there's any legal reason to limit forfeiture of attorney's fees to drug cases." Mr. Alito said his office "just responded to an attorney's question about whether we would go after attorney's fees, and that is different from actually doing it, although we reserve that right." Question: What may have happened but ended up not happening before responded? Events: ['said', 'think', 'limit', 'responded', 'go', 'is', 'doing', 'reserve']
Student:
|
go
| 2
|
NIv2
|
task390_torque_text_span_selection
|
fs_opt
|
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] |
Given the task definition and input, reply with output. 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: Excuse me . I'm looking for an old music box .
Person2: Any particular decade ?
Person1: Something made in the ' 20s would be nice .
Person2: We had seven , but we sold one this morning .
Person1: Are dancing figures a part of any of the boxes ?
Person2: You're in luck . Two of them have dancing figures .
Person1: Oh , these are great . I think I'll take this one .
Person2: Yes , that one is very nice .
Person1: Now , does this come with a warranty ?
Person2: I'm sorry , but you just have to take your chances .
Person1: That doesn't surprise me .
Person2: Even if it doesn't work , it's a beautiful collectible .
|
No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,happiness,happiness,No emotion,No emotion,No emotion,No emotion
| 5
|
NIv2
|
task1532_daily_dialog_emotion_classification
|
zs_opt
|
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] |
Definition: In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Input: [23, 39, -48, 73, 12, 67, -78, -10, 51]
Output:
|
[16, 87, 121, 61, 55, 145, 68, 61]
| 2
|
NIv2
|
task125_conala_pair_differences
|
zs_opt
|
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] |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the ending, and use names instead of pronouns (e.g. he / she) wherever possible.
Example input: Beginning: Helen lived in the state of Washington. Middle: Helen planned to drive to Canada but it started snowing heavily.
Example output: Helen stayed home instead and planned to go another day.
Example explanation: Generally, people prefer not to drive in bad weather.
Q: Beginning: Mary found that she was pregnant. Middle: Mary went on a road trip.
A:
|
Mary gave birth during their travels.
| 3
|
NIv2
|
task071_abductivenli_answer_generation
|
fs_opt
|
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] |
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.
Input: গুড পরিবেশ, আবর্জনা খাদ্য। প্রথমবারের মত সেখানে গিয়েছিলাম, শুধু স্যুপ চেয়ে আরো 30 মিনিট অপেক্ষা করতে হয়েছিল। তারা যাতে এটা যে দীর্ঘ সময় নিতে পারে যে সময় বলিনি। কিন্তু সবচেয়ে গুরুত্বপূর্ণভাবে, স্যুপ শুধু গরম মসলাযুক্ত জলের মতো টেস্ট করেছে। অন্য কিছু চেষ্টা করে বিরক্ত যায়নি।
Output:
|
negative
| 2
|
NIv2
|
task1496_bengali_reviews_sentiment_classification
|
zs_opt
|
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] |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Passage: In week 16, the Lions flew back to Florida, this time to play the Miami Dolphins. The Lions took an early lead with a 39-yard field goal by Dave Rayner. The Dolphins tied it up with a 40-yard field goal by Dan Carpenter. In the second quarter, the Lions took the lead when Brandon Pettigrew caught a 20-yard touchdown pass. The Dolphins tied it up with a 4-yard rush by Lousaka Polite. Miami took the lead with a 13-yard TD catch by Davone Bess. After halftime, the Lions tied it back up with a 5-yard TD rush by Maurice Morris. The Dolphins responded with a 1-yard TD run by Ronnie Brown. Miami added to their lead with a 28-yard field goal. The Lions then scored 17 unanswered points. First Jahvid Best caught a 53-yard TD pass. Then Dave Rayner kicked a 47-yard field goal. They sealed their win when DeAndre Levy intercepted a Chad Henne pass and ran it back 30 yards for a touchdown. With the win not only did the Lions improve to 5-10, but it was their first back-to-back road victories since 2004, and first three-game winning streak since 2007.
Question: How many yards was the longest touchdown?
Answer type: Number
Student:
|
53.
| 6
|
NIv2
|
task028_drop_answer_generation
|
zs_opt
|
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] |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
[EX Q]: Context: The clock remains at 3 minutes to midnight - Rachel Bronson, Executive Director and Publisher of the Bulletin. BulletinOfTheAtomic (@BulletinAtomic) January 26, 2016 Question: who is rachel bronson? Answer: executive director and publisher of the bulletin
[EX A]: yes
[EX Q]: Context: TABLE It's all to play for when @LFC host @ManUtd at Anfield on Sunday... #BPL Premier League (@premierleague) March 16, 2015 Question: what day of the week was it taking place? Answer: @letour
[EX A]: no
[EX Q]: Context: You SHOULD have mixed feelings. No one's heart was dragged through emotional ambiguity more than mine.Tears, uncertainty, happiness & #LOVE Nile Rodgers (@nilerodgers) September 7, 2017 Question: what kind of feelings are discussed? Answer: mixed feelings
[EX A]:
|
yes
| 6
|
NIv2
|
task241_tweetqa_classification
|
fs_opt
|
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] |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Example Input: Somali sentence: Xitaa wakhtiyadii dhammaadkoodii ee dulsaarka hoose, heerka ma noqon doono ka hooseeya 6 boqolkiiba sannadkii, taasoo la micno ah mas’uul ka ah sanadlaha ah korsaar ah (Lm250,000 @ 6%) = Lm15,000. Intaa waxaa dheer, waa kharashka ceyrsaneysa deynta: mushaaraadka waaxda credit, kharashka sharciga, telefoonka iyo kharashka boostada.
Example Output: Even in these times of low interest rates, the rate would not be lower than 6 per cent per annum, meaning an annual interest charge of (Lm250,000 @ 6%) = Lm15,000. Moreover, there is the cost of chasing the debt: credit department salaries, legal fees, telephone and postage costs.
Example Input: Somali sentence: 015-035 Korkaagana waxaa ah Lacnad tan iyo Maalinta Abaal marinta (Qiyaamada).
Example Output: â And the curse will be upon you until the Day of Judgment.â
Example Input: Somali sentence: “Iyadoo lala kaashanayo Dowladda Federaalka Soomaaliya, ciidamada Mareykanka waxay qaadeen duqayn ka dhan ah ISIS ee waqooyi-bari Soomaaliya 27 November, waxaana lagu dilay hal kamid ah argagixisada,” Taliska Mareykanka ee Afrika ayaa bayaan ku sheegay.
Example Output:
|
“In coordination with the Federal Government of Somalia, U.S. forces conducted an airstrike against ISIS, in northeastern Somalia on Nov. 27, killing one terrorist,” the U.S. Africa Command said in a statement.
| 3
|
NIv2
|
task450_opus_paracrawl_so_en_translation
|
fs_opt
|
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] |
Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: Now to the technical aspect.
Output:
|
Jag övergår nu till den tekniska aspekten.
| 3
|
NIv2
|
task313_europarl_en_sv_translation
|
zs_opt
|
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] |
TASK DEFINITION: In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person. Mentions of people in the text don't necessarily mean the text is about a person.
PROBLEM: Text: Deeper Rhythms: The House Sessions Vol 1 is a collection of club-oriented dance music songs that featured exclusively American artists. CeCe Peniston is probably the biggest name of the album whose song He Loves Me 2 was released also on single peaking at number twenty-four on the U.S. Billboard Hot Dance Music/Club Play chart.
SOLUTION: No
PROBLEM: Text: Ahmad Fathi Sorour (born 9 July 1932) is an Egyptian politician who was the Speaker of the People's Assembly of Egypt from 1990 until the Egyptian Revolution of 2011. Previously he served in the government as Minister of Education from 1986 to 1990. Dr. Sorour was first elected to the People's Assembly in April 1989 was elected Speaker in November 1990.
SOLUTION: Yes
PROBLEM: Text: Themis Rigas (Greek: Θέμης Ρήγας) (born 1945 - died 13 January 1984) popularly nicknamed The Train is a former Greek footballer (winger) born in Patras. One of the fastest and most talented wingers of his generation he was a member of the great Panachaiki football team that impressed Greece in the seventies and qualified to the 1974 UEFA Cup.He died in a domestic accident in 1984 at the age of 39 leaving behind him the Panachaiki family without one of its most eminent members.
SOLUTION:
|
Yes
| 8
|
NIv2
|
task632_dbpedia_14_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.
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Option 2'. The incorrect option will change the subsequent storyline, so that at least one of the three subsequent sentences is no longer consistent with the story.
Sentence 1: The cashier was counting the dollar bills at her desk.
Sentence 3: Everyone panicked and started to scream.
Sentence 4: The men threatened the people to remain quiet.
Sentence 5: The cashier handed them the cash so they would go away.
Option 1: Two men rushed into the store and held their guns up.
Option 2: Two dogs rushed into the store.
Solution: Option 1
Why? Option 1 forms a consistent story with the given four sentences. In constrast, Option 2 is incorrect as the entty 'two dogs' is not consistent with 'men' mentioned in Sentence 4.
New input: Sentence 1: Carly was upset when her wedding photographer failed to show up.
Sentence 3: Carly got all of her friends together before the wedding ceremony
Sentence 4: She asked all of her friends to take photos with their smart phones
Sentence 5: Carly ended up getting amazing wedding photos from her friends
Option 1: She was resourceful but couldn't come up with a plan.
Option 2: She was resourceful, and she came up with a plan.
Solution:
|
Option 2
| 0
|
NIv2
|
task065_timetravel_consistent_sentence_classification
|
fs_opt
|
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You will be given a definition of a task first, then some input of the task.
Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
On how bridge stakeouts near the Chattahoochee River led police to Wayne Williams in May 1981
Lindsey: A police recruit heard a splash down there in the water by the bridge and that was FBI special agent Mike McComas and he was in charge of the bridge stakeouts in Atlanta. And there were about 14 15 bridges they were staking out for 30 days. And this recruit hears a large splash which he thinks is a body shines his flashlight on the water but doesn't see anything — sees ripples. They see a car up there on the bridge. They stop it and then they find Wayne Williams . And you know after that they begin to tail Wayne Williams and look into this guy.
Albright: Three days later the body of Nathaniel Cater was found about 500 yards downriver. So that's what clued them into that that must be you know they theorized that was the body he dropped that night. It wasn't long after that he was arrested.
On the case that investigators built against Wayne Williams
Lindsey: It was carpet fibers and dog hairs they were able to link from Wayne Williams — his car his home — to some of the victims. Besides that everything else was mostly circumstantial. And he obviously had failed a couple of polygraph tests but those were inadmissible in court. Besides that they didn't have much against him .
On why Williams was only convicted of the murders of two adults
Lindsey: The biggest question that surrounds that case is "If Wayne Williams is the Atlanta Monster is the Atlanta child murderer then why was he only convicted of killing two adults?" And that's how the families feel that's how some people in the community feel. It just doesn't add up all the way.
On what happened after Williams was arrested
Albright: And it was a shaky pattern to begin with. Some of these kids had stab wounds some of them had genital mutilation some of them were beaten with objects some of them were just strangled. They were found in various places various counties so there's not a distinct pattern that you would think of like when you you know people who are accustomed to watching serial killer movies or hearing about this serial killer calling card there was nothing like that that definitely tied Wayne Williams to all of these victims.
Output:
|
'Atlanta Monster' Podcast Hopes To 'Close The Door' On 1970s Child Murders : NPR
| 1
|
NIv2
|
task418_persent_title_generation
|
zs_opt
|
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] |
Teacher:In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of stereotype or anti-stereotype: gender, profession, race, and religion.
Teacher: Now, understand the problem? Solve this instance: Passage: The chemist was a woman.
Student:
|
Profession
| 6
|
NIv2
|
task280_stereoset_classification_stereotype_type
|
zs_opt
|
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] |
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Example input: Although I did enjoy the food here, I was completely unimpressed (and slightly annoyed) by the overpriced margaritas. I ordered a platinum which contained \"fresh\" juice. It tasted like it had sprite in it, so I thought surely she gave me the wrong one. It turns out that \"fresh juice\" is really margarita mix on tap from the same gun as the sprite. I asked for something fresh to replace the horrible margarita and received a rocks glass with just muddled lime and a salted rim. I'm not sure it contained any tequila. Horrible! It's not that hard to make a fresh margarita!
Example output: 2 stars
Example explanation: The writer has been annoyed in this place and has enjoyed the food. So, "2 stars" sounds reasonable for it.
Q: Definitely impressed with this Grimaldi location. I had heard about this establishment in Tucson, but had never actually been there. A couple friends were staying near the Ray rd /1-10 area and recommend we meet here for lunch. I was expecting a small hole in the wall joint, but was pleasantly surprised to see its rather large building.\n\nThe decor of the place is very nice and the hostess greeted us in a very comforting manner. Our waiter was also very attentive and helpful when we were ordering. \n\nThe thin crust pizza we ordered was pretty good, but not the best I've ever had. However, I would definitely eat this pizza with great enjoyment. Didn't order any alcohol, but the bar appeared to have a pretty good selection of drinks. \n\nThe pizza was good, but I was more impressed with the decor of the place and the great staff they have there. I would definitely recommend this place and hope to visit again very soon.
A:
|
4 stars
| 3
|
NIv2
|
task1292_yelp_review_full_text_categorization
|
fs_opt
|
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] |
Part 1. Definition
In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
Part 2. Example
[9, 40, -33, 12, 17, -32, 40]
Answer: 0
Explanation: The minimum absolute difference is 0 because '40 - 40 = 0' and '40' appears in the list twice. So this is a good example.
Part 3. Exercise
[63, 78, -23, 61, 75, 21, -7, -36]
Answer:
|
2
| 7
|
NIv2
|
task1445_closest_integers
|
fs_opt
|
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Detailed Instructions: 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.
See one example below:
Problem: Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin? Passage 1: 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,
. Passage 2: John Ford (1894–1973) was an American film director whose career spanned from 1913 to 1971. During this time he directed more than 140 films. Born in Maine, Ford entered the filmmaking industry shortly after graduating from high school with the help of his older brother, Francis Ford, who had established himself as a leading man and director for Universal Studios. After working as an actor, assistant director, stuntman, and prop man – often for his brother – Universal gave Ford the opportunity to direct in 1917. Initially working in short films, he quickly moved into features, largely with Harry Carey as his star. In 1920 Ford left Universal and began working for the Fox Film Corporation. During the next ten years he directed more than 30 films, including the westerns The Iron Horse (1924) and 3 Bad Men (1926), both starring George O'Brien, the war drama Four Sons and the Irish romantic drama Hangman's House (both 1928 and both starring Victor McLaglen). In the same year of these last two films, Ford directed his first all-talking film, the short Napoleon's Barber. The following year he directed his first all-talking feature, The Black Watch.
. Passage 3: Since the late 1970s, the central part of NYU is its Washington Square campus in the heart of Greenwich Village. Despite being public property, and expanding the Fifth Avenue axis into Washington Square Park, the Washington Square Arch is the unofficial symbol of NYU. Until 2008, NYU's commencement ceremony was held in Washington Square Park. However, due to space constraints, ceremonies are now held at the Yankee Stadium. Important facilities at Washington Square are the Elmer Holmes Bobst Library, designed by Philip Johnson and Richard Foster, who also designed several other structures, such as Tisch Hall, Meyer Hall, and the Hagop Kevorkian Center. When designing these buildings Johnson and Foster also set up a master plan for a complete redesign of the NYU Washington Square campus. However, it was never implemented. Other historic buildings include the Silver Center (formerly known as "Main building"); the Brown Building of Science; Judson Hall, which houses the King Juan Carlos I of Spain Center; Vanderbilt Hall, the historic townhouse row on Washington Square North; The Grey Art Gallery at 100 Washington Square East, housing the New York University art collection and featuring museum quality exhibitions; the Kaufman Management Center; and the Torch Club – the NYU dining and club facility for alumni, faculty, and administrators. Just a block south of Washington Square is NYU's Washington Square Village, housing graduate students and junior and senior faculty residences in the Silver Towers, designed by I. M. Pei, where an enlargement of Picasso's sculpture Bust of Sylvette (1934) is displayed.
.
Solution: 1
Explanation: The question refers to the 704th unit and task about war which is decribed by Passage 1.
Problem: Question: Who found the political party that Laudal is currently a part of? Passage 1:He was a student at Trondheim Cathedral School. In 1702, he started at the University of Copenhagen and graduated with a Cand.theol. degree 1704. In 1709, he was hired as a chaplain in the parish of Kvernes where his father worked. After a few years, he was hired as the parish priest in Kalundborg, Denmark (1715-1727). In 1727, he became a lecturer in theology at Trondheim Cathedral School following the death of Thomas von Westen. In 1731, he was appointed Bishop of the Diocese of Nidaros as a replacement for Peder Krog. During his time as bishop, he was a very good administrator and he was considered a demanding leader of the church. In a shepherd's letter to the priests in his diocese, he made strict demands: the catechism should be taught and the young people should learn to read with the book. The scripture must be taken seriously, and the priests must visit all homes in their parish every year. An account of the poverty of the poor shall be made across the diocese. He made a huge emphasis during his time as bishop at mission work among the Sami people in Northern Norway. Bishop Hagerup died in 1743 in Trondheim.
Passage 2:Born John Bateman, the character later known as Lucas North was raised in rural Cumbria, where his father was a Methodist minister. During his time at Leeds University he lived with Maya Lahan (Laila Rouass). While enrolled at Leeds he visited Dakar, Senegal, where he engaged in shipping cannabis to Hamburg in exchange for money. When he was caught the authorities took the shipment and his money, stranding him in Dakar. To gain enough money to get back to the UK, he worked in a casino. While working there John Bateman was approached by Vaughn Edwards (Iain Glen), who persuaded him to deliver packages for him. One of the packages delivered by Bateman was a bomb that exploded at a British Embassy, killing 17 people. To escape the country Bateman killed a friend of his named Lucas North. North had just made it past the first battery of tests for admission to MI5. Bateman assumed North's identity and left Maya behind. Bateman/North would later suppress these memories, believing that Vaughn was solely responsible for the bombing and for his friend's death. He would later join MI5 in place of the real Lucas North and become head of Section D. He was also once married to Elizabeta Starkova (Paloma Baeza). During an operation in Russia, Lucas North was captured and imprisoned for eight years, during which time he was often subjected to torture.
Passage 3:He was born in Kirkenes as the son of teachers Trygve Laudal (1896–1964) and Agnes Mønnesland (1898–1982). He finished his secondary education in 1954 in Mandal, and enrolled in the University of Oslo in the same year. He studied at École Normale Supérieure from 1957, but in 1958 he was back in Oslo and took the cand.real. degree. He was a research fellow at Columbia University and Institut Henri Poincaré between 1959 and 1962. He was appointed as lecturer at the University of Oslo in 1962, was promoted to docent in 1964 and was a professor from 1985 to 2003. His most notable book is 1979's Formal Moduli of Algebraic Structures. He was among the founders of the Abel Prize, and has been involved in the International Centre for Theoretical Physics. He is a member of the Norwegian Academy of Science and Letters, and has been a deputy member of Bærum municipal council for the Socialist Left Party.
Solution:
|
3
| 4
|
NIv2
|
task230_iirc_passage_classification
|
fs_opt
|
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] |
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
[EX Q]: name[xname], price[cheap], rating[5 out of 5], location[riverside], familyFriendly[yes]
[EX A]: xname is family friendly with a customer rating of 5 out of 5 situated on the riverside and is really cheap.
[EX Q]: name[xname], recommend[yes], qual[good], location[Manhattan], service[bad]
[EX A]: Since xname is in Manhattan with good food and bad service, xname is the best restaurant.
[EX Q]: name[xname], recommend[yes], cuisine[New American], decor[bad], location[Manhattan], price[cheap], service[bad]
[EX A]:
|
I would consider xname because even if it is cheap, it has mediocre ambiance and bad service. xname is a New American restaurant. it's in Manhattan.
| 6
|
NIv2
|
task1598_nyc_long_text_generation
|
fs_opt
|
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] |
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"
One example is below.
Q: Review: 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.
Rating: 1
A: True
Rationale: The user seems very disappointed in the product because the bulb they ordered has been burned out earlier than usual. So, he gave 1 star to the review considering it extremely poor. So, true is the correct answer.
Q: Review: Worked well for about 6 months then started coming apart where the outer casing comes together. Finally after about 11 months the case has enough play that the vac does not get enough suction. Too bad it is made so cheaply would be a great product if it wasn't made to fail so you will have to purchase another. I will go move the vac myself rather than throw money away on this.
Rating: 2
A:
|
True
| 9
|
NIv2
|
task1311_amazonreview_rating_classification
|
fs_opt
|
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] |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Input: Over 25 years that has huge long-run effects on the wealth of your nation.
Output:
|
Em 25 anos isso tem efeitos a longo prazo na riqueza da nossa nação.
| 2
|
NIv2
|
task1094_ted_translation_en_pt
|
zs_opt
|
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] |
Teacher:In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
Teacher: Now, understand the problem? Solve this instance: এক কথায় অসাধারণ। আল্লাহ জাকারিয়া মাসুদ ভাইয়ের হাতে আরো বারাকাহ দিক।
Student:
|
positive
| 6
|
NIv2
|
task1497_bengali_book_reviews_sentiment_classification
|
zs_opt
|
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] |
Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: Ang panawagan sa pagkakahati-hati ng bansa ay lalong lumalakas, na nagdala ng maraming tanong sa kinabukasan ng Iraq bilang pinag-isang bansa.
A:
|
国の分断の声はより大きくなっており、１つの国家としてのイラクの将来に疑問を投げかけている。
| 4
|
NIv2
|
task1119_alt_fil_ja_translation
|
zs_opt
|
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] |
A question is presented to you in this task, and your job is to write a potentially correct answer.
--------
Question: where to visit near bangkok?
Answer: MRT Blue Line
Question: which continent is costa rica located?
Answer: North America
Question: where is isthmus of panama located?
Answer:
|
Costa Rica
| 7
|
NIv2
|
task1412_web_questions_question_answering
|
fs_opt
|
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] |
Detailed Instructions: Given the sentence, generate "yes, and" response. "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..."). 1 In short, a "Yes, and" is a dialogue exchange in which a speaker responds by adding new information on top of the information/setting that was constructed by another speaker. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange, although it could be the case if it agrees with the description above. There are many ways in which a response could implicitly/explicitly agree to the prompt without specifically saying 'yes, and...'.
Q: Your kids are reformed prisoners that asked to be in your family?
A:
|
One of them showed up at the door and I thought she was selling girl scout cookies.
| 9
|
NIv2
|
task360_spolin_yesand_response_generation
|
zs_opt
|
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] |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
ستلاحظون على الأغلب أن جميعهم أقلية.
A:
|
Podem reparar que quase todos eles são minorias.
| 7
|
NIv2
|
task1109_ted_translation_ar_pt
|
zs_opt
|
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] |
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context. The original ending is the last three sentences of the story. Also, you are given a new ending that can provide the new story with the same premise. You should write a counterfactual context to explain the small differences between the original and new endings. More specifically, a story context contains the general plot of the story. And a counterfactual context is a slight modification to the initial context. To sum up, you should write the second sentence of a story based on the premise(first sentence) and the new ending(last three sentences) of the story.
Q: Premise: Suzy went to the movies by herself.
Initial Context: She got in line to buy a ticket for the movie.
Original Ending: She recognized a friend in the line. They spoke together in the line. They agreed to see a movie together.
New ending: She recognized a friend in the line. They spoke together in the line. They agreed to catch up later and parted ways.
A:
|
Suzy only likes going to movies by herself because then no one talks to her at all.
| 4
|
NIv2
|
task270_csrg_counterfactual_context_generation
|
zs_opt
|
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] |
Given the task definition and input, reply with output. Given a sentence in Russian, generate a new Russian 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.
Многие виды летучих мышей контролируют насекомых.
|
Многие стратегии летучих мышей помогают потрогать насекомых.
| 5
|
NIv2
|
task410_mickey_ru_sentence_perturbation_generation
|
zs_opt
|
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] |
TASK DEFINITION: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
PROBLEM: Isto supón unha redución á metade da taxa de mortalidade infantil.
SOLUTION: Es una reducción a la mitad de la tasa de mortalidad infantil.
PROBLEM: Brillan, escintilan, refulxen coa súa propia luz vital.
SOLUTION: Ellas brillan, con su propia luz vital.
PROBLEM: Fai pouco dei unha charla no Banco Mundial mostrei esta foto incrible da Terra e lles dixen: "" Aí está! O Banco Mundial! "" É onde están todos os activos!
SOLUTION:
|
No hace mucho tiempo di una charla para el Banco Mundial y mostré esta maravillosa imagen de la Tierra, y dije, ¡Aquí está! ¡El Banco Mundial! ¡Allí es donde están todos los bienes!
| 8
|
NIv2
|
task1240_ted_translation_gl_es
|
fs_opt
|
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] |
Detailed Instructions: Generate a correct and concise answer for the question based on the words in the context.
Problem:Context : Nightbreed (also Night Breed on publicity material, or Clive Barker's Nightbreed) is a 1990 American dark fantasy horror film written and directed by Clive Barker, based on his 1988 novella Cabal, and starring Craig Sheffer, Anne Bobby, David Cronenberg, Charles Haid, Hugh Quarshie, and Doug Bradley.
Question : The Nightbreed is based upon what?
Solution:
|
Cabal
| 8
|
NIv2
|
task1327_qa_zre_answer_generation_from_question
|
zs_opt
|
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0.04668445140123367,
0.23890742659568787,
-0.6347299218177795,
0.5341695547103882,
0.8694806694984436
] |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Problem:It wasn't straightforward. It's no longer a question of chucking a tapestry in the back of a car.
Solution:
|
ليس الأمر سهلاً. لم يعد الموضوع مجرد تحميل المنسوجة في السيارة
| 8
|
NIv2
|
task1220_ted_translation_en_ar
|
zs_opt
|
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] |
Detailed Instructions: The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
Q: <user> an asshole immigrant from tajikistan now determine afghans fate impossible iran puppet piece of shit
A:
|
asshole immigrant
| 9
|
NIv2
|
task1504_hatexplain_answer_generation
|
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.
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Sentence: 'Harry glanced again at the raw looking thing that trembled and choked in the shadow beneath the distant chair.', Argument/Subject 1: 'Harry', Argument/Subject 2: 'raw looking thing'
Solution: glance
Why? The sentence contains the generated relationship - glance, mentioned between two subjects - Harry and raw looking thing
New input: Sentence: 'Skywarn is the spotter training program developed and sponsored by the National Weather Service .', Argument/Subject 1: 'skywarn', Argument/Subject 2: 'national weather service'
Solution:
|
be program of
| 0
|
NIv2
|
task676_ollie_relationship_answer_generation
|
fs_opt
|
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] |
Detailed Instructions: Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Q: Question: Does photobiont selectivity lead to ecological tolerance and evolutionary divergence in a polymorphic complex of lichenized fungi?
Answer: Low selectivity apparently allows widespread lichen-forming fungi to establish successful symbioses with locally adapted photobionts in a broader range of habitats. This flexibility might correlate with both lower phylogenetic resolution and evolutionary divergence in species complexes of crustose lichen-forming fungi.
A:
|
yes
| 9
|
NIv2
|
task846_pubmedqa_classification
|
zs_opt
|
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] |
In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
Ex Input:
uSUJiqNIPjUoUGhZ
Ex Output:
SJqNPjGhZ
Ex Input:
IoOpibOVuaKeaakaMgr
Ex Output:
pbVKkMgr
Ex Input:
kJmalZaadFYrpu
Ex Output:
|
kJmlZdFYrp
| 1
|
NIv2
|
task365_synthetic_remove_vowels
|
fs_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 Persian. Your job is to translate the Farsi sentence into Spanish.
سال ۱۸۵۸ سالی بود که شورشیانی که با شجاعت در مقابل نیروهای خارجی در هند شورش کرده بودند از نیروهای انگلیسی شکست خوردند
Output:
|
1858 fue el año cuando un valeroso levantamiento en contra de la ocupación extranjera de la India fue derrotado por las fuerzas británicas.
| 1
|
NIv2
|
task1267_ted_translation_fa_es
|
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're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Lucifer how many episodes are in season 3?
Solution: How many episodes of season 3 of Lucifer were there, including bonus episodes?
Why? The generated question clarifies the input question by asking about bonus episodes because if the question is about regular episodes only then the answer will be different than including the bonus episodes.
New input: How many seasons are there of knight rider?
Solution:
|
How many seasons are there of Knight Rider (1982 TV series)?
| 0
|
NIv2
|
task670_ambigqa_question_generation
|
fs_opt
|
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] |
Given the task definition and input, reply with output. Translate from English to Hindi.
Just give me that chance?
|
बस मुझे मौका दिजीए.
| 5
|
NIv2
|
task1329_open_subtitles_en_hi_translation
|
zs_opt
|
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] |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Ex Input:
Qual é o fundamento científico deste observatório financeiro?
Ex Output:
ماهو الأساس-علميا- لهذا المرصد المالي ؟
Ex Input:
eu estou aqui a tentar, vou tentar, transmitir essa inspiração.
Ex Output:
انا أحاول ، او سأحاول توصيل هذا الالهام
Ex Input:
"" Porque é que não deixa a sua família em casa? "" Como sabe, tem umas férias de 30 dias.
Ex Output:
|
لم لا تترك عائلتك تظل في مسقط رأسك ، لأنك تعلم انك تحصل على 30 يوم اجازة.
| 1
|
NIv2
|
task1277_ted_translation_pt_ar
|
fs_opt
|
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] |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
[Q]: Valmir, take this to the car for me.
[A]: (فالمير) خذ هذه للسيارة من أجلي
[Q]: This inter-agency initiative will support and strengthen the sustainable agro-ecological and livelihood strategies of farming communities and indigenous peoples, conserve and value the goods and services they provide, and mobilize national and global recognition, as well as policy and institutional support.
[A]: وسوف تؤدي هذه المبادرة المشتركة بين الوكالات إلى دعم وتعزيز الاستراتيجيات الإيكولوجية المستدامة للزراعة وكسب العيش في المجتمعات المحلية الزراعية ومجتمعات الشعوب الأصلية، وإلى حفظ السلع والخدمات التي توفرها هذه المجتمعات وإضفاء القيمة عليها، وحشد الاعتراف العالمي بها وتعبئة الدعم لها على صعيد المؤسسات والسياسات العامة.
[Q]: 1 P-4, 1 P-3, 3 GS (OL),
[A]:
|
• فروق متصلة بالإدارة: مدخلات ونواتج إضافية
| 5
|
NIv2
|
task651_opus100_en_ar_translation
|
fs_opt
|
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] |
Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
--------
Question: सुनो, एक लूटे हुए आदमी को देखने का हक है.
Answer: Listen, a man who's been robbed has the right to look.
Question: मेरे पास है.
Answer: I have it.
Question: मेरा पूरा शरीर कांप रहा है.
Answer:
|
My whole body is shivering.
| 7
|
NIv2
|
task1323_open_subtitles_hi_en_translation
|
fs_opt
|
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] |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Q: Y ahora que nos deshicimos del ADN de la bacteria, el ADN del virus toma el control de la célula y le ordena que comience a producir más virus.
A: E agora que nos livramos do ADN da bactéria, o ADN do vírus toma conta da célula e manda-a começar a produzir mais vírus.
****
Q: (Música) (Golpe) (Golpe) (Golpe) (Golpe) Este mirlo pelea contra su propia imagen.
A: (Música) (Ploc) (Ploc) (Ploc) (Ploc) O que este pássaro faz é lutar com a própria imagem.
****
Q: A menudo hay baches en la carretera, accidentes en el camino.
A:
|
Há frequentemente percalços ao longo da estrada, acidentes ao longo do caminho.
****
| 4
|
NIv2
|
task1104_ted_translation_es_pt
|
fs_opt
|
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] |
Detailed Instructions: You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Problem:Statement: કાણાકુવા (તા. સંખેડા) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્ય ભાગમાં આવેલા છોટાઉદેપુર જિલ્લામાં આવેલા કુલ ૬ (છ) તાલુકાઓ પૈકીના એક એવા સંખેડા તાલુકામાં આવેલું એક ગામ છે. કાણાકુવા ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે મકાઈ, બાજરી, તુવર તેમ જ શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: આંગણવાડી
Option B: ભારત
Option C: રોમાનીયા
Option D: પંચાયતઘર
Solution:
|
ભારત
| 8
|
NIv2
|
task946_wiki_cloze_gu_multiple_choice_question_answering
|
zs_opt
|
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] |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explicit content. Warning: the examples and instances may contain offensive language.
Example input: "Ghost in the Shell makes $19M, a lot less than expected. Now write some hot takes for ""why Marvel never made a standalone Black Widow movie"""
Example output: No
Example explanation: (Correct Answer) This post does not reference sexually explicity or lewd content.
Q: “@_Jiare: “@WB_Pooh_3x: Where the bitches at ,?? 👀” yeah where they at 👀” I don't know they probably at that Party 😩
A:
|
No
| 3
|
NIv2
|
task608_sbic_sexual_offense_binary_classification
|
fs_opt
|
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] |
Detailed Instructions: Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Problem:entity: venom's health
before: up
after: down
attr: state
Solution:
|
state of venom's health was up before and down afterwards
| 8
|
NIv2
|
task1631_openpi_answer_generation
|
zs_opt
|
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-0.5833646059036255,
-0.7832741737365723
] |
instruction:
The task is to read a passage and convert numbers in their text forms into digit forms. The text numbers can be used to represent Quantity, Dates and Time, Addresses or Positions.
question:
He hurried to his room and stayed no longer than three or four minutes.
answer:
He hurried to his room and stayed no longer than 3 or 4 minutes.
question:
Since the camera operates at a speed of eighteen point three frames per second,
answer:
Since the camera operates at a speed of 18.3 frames per second,
question:
to engage in activities on behalf of the Fair Play for Cuba Committee in the summer of nineteen sixty three,
answer:
|
to engage in activities on behalf of the Fair Play for Cuba Committee in the summer of 1963,
| 9
|
NIv2
|
task1704_ljspeech_textmodification
|
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 a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Option 2'. The incorrect option will change the subsequent storyline, so that at least one of the three subsequent sentences is no longer consistent with the story.
Sentence 1: A man went to the bank to make a deposit.
Sentence 3: He wanted to make his deposit an even 500 dollars
Sentence 4: He took out his calculator to see how much extra to add
Sentence 5: The man deposited 13 dollars and 47 cents
Option 1: This savings total was 4 dollars and 53 cents.
Option 2: This savings total was 486 dollars and 53 cents.
Output:
|
Option 2
| 1
|
NIv2
|
task065_timetravel_consistent_sentence_classification
|
zs_opt
|
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] |
Teacher:In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun phrase. The capital 'I' denotes all following words of the same noun phrase. If a word is not a part of a proper noun phrase, do not label it.
Teacher: Now, understand the problem? Solve this instance: SOCCER - PLAYERS LEAVE MATCH EARLY TO CATCH PLANE .
Student:
|
SOCCER - PLAYERS LEAVE MATCH EARLY TO CATCH PLANE .
| 6
|
NIv2
|
task610_conllpp_ner
|
zs_opt
|
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] |
Q: In this task, given a sentence in the Chinese language, your task is to convert it into the English language.
据报道，火灾是爆炸引起的，虽然这一点还有待证实。
A:
|
The fire was reportedly the cause of the explosion, although this is yet to be confirmed.
| 7
|
NIv2
|
task535_alt_translation_ch_en
|
zs_opt
|
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] |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Problem:Questo è solo un esempio.
Solution:
|
これは一例に過ぎませんが
| 8
|
NIv2
|
task1248_ted_translation_it_ja
|
zs_opt
|
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] |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expressions abbreviated. Questions regarding human beings, description of a person, and a group or organization of persons are categorized as Human. Quantity questions are asking about numeric values and Location questions ask about locations, cities, and countries. Answer with "Description", "Entity", "Abbreviation", "Person", "Quantity", and "Location".
What famous events have happened on March 27 ?
Entity
What name does the world know Renaissance artist Kyriakos Theotokopoulos by ?
Person
What was the orca 's name that died of a fungal infection at Sea World ?
|
Entity
| 0
|
NIv2
|
task1289_trec_classification
|
fs_opt
|
[
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] |
Q: In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
Question: Milo has been growing his nails out for a very long time. As his nails get longer, what happens to the amount of cells added to them?
Answer: increase
A:
|
As the nail grows, more cells are added at the nail bed.
| 7
|
NIv2
|
task223_quartz_explanation_generation
|
zs_opt
|
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] |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Let me give you an example: Sentence: 'breakfast and a glass of milk is on the table'. Remove all words of length '3' in the given sentence.
The answer to this example can be: breakfast a glass of milk is on table
Here is why: Words 'and', 'the' are of length 3. So they are correctly removed.
OK. solve this:
Sentence: 'a man sits on the back of a pick up truck that is full of stuff'. Remove all words of length '3' in the given sentence.
Answer:
|
a sits on back of a pick up truck that is full of stuff
| 8
|
NIv2
|
task377_remove_words_of_given_length
|
fs_opt
|
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] |
Teacher:Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common', 'cvg', 'opera', 'olympics', 'chemistry', 'visual_art', 'conferences', 'sports', 'language', 'travel', 'location', 'award', 'dining', 'martial_arts', 'comic_strips', 'computer', 'user', 'tennis', 'music', 'organization', 'food', 'event', 'transportation', 'fictional_universe', 'measurement_unit', 'meteorology', 'distilled_spirits', 'symbols', 'architecture', 'freebase', 'internet', 'fashion', 'boats', 'cricket', 'film', 'medicine', 'finance', 'comic_books', 'celebrities', 'soccer', 'games', 'time', 'geography', 'interests', 'common', 'base', 'business', 'periodicals', 'royalty', 'education', 'type', 'religion', 'automotive', 'exhibitions'.
Teacher: Now, understand the problem? Solve this instance: Who starred in the film Good Morning, Vietnam (1987)?
Student:
|
film
| 6
|
NIv2
|
task900_freebase_qa_category_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 are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated.
Passage: The game-winning football player is very aggressive.
Solution: Stereotype
Why? It is a stereotype because we have a standardized image that game-winning players are commonly aggresive. There is no mention of the football player's aggresive behavior.
New input: Passage: Yesterday we ate an Iranian restaurant. We ate spaghetti and meatballs.
Solution:
|
Anti-stereotype
| 0
|
NIv2
|
task279_stereoset_classification_stereotype
|
fs_opt
|
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] |
Teacher: Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? If you are still confused, see the following example:
អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប្រកួតពានរង្វាន់ពិភពលោកនៃកីឡាបាល់ឱបឆ្នាំ2007ដែលប្រព្រឹត្តនៅប៉ាសឌេសប្រីន ក្រុងប៉ារីស បារាំង។
Solution: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Reason: The Khamer sentence is correctly converted into Japanese because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is.
Now, solve this instance: បុរសដប់មួយនាក់ត្រូវបានរកឃើញនៅខាងក្រោយឡានដឹកទំនិញមួយ។
Student:
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男たちのうち１１人はトラックの後部で発見された。
| 2
|
NIv2
|
task1122_alt_khm_ja_translation
|
fs_opt
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] |
Q: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
This paper describes the development and evaluation of a brief, multidimensional, self-administered, social support survey that was developed for patients in the Medical Outcomes Study (MOS), a two-year study of patients with chronic conditions. This survey was designed to be comprehensive in terms of recent thinking about the various dimensions of social support. In addition, it was designed to be distinct from other related measures. We present a summary of the major conceptual issues considered when choosing items for the social support battery, describe the items, and present findings based on data from 2987 patients (ages 18 and older). Multitrait scaling analyses supported the dimensionality of four functional support scales (emotional/informational, tangible, affectionate, and positive social interaction) and the construction of an overall functional social support index. These support measures are distinct from structural measures of social support and from related health measures. They are reliable (all Alphas greater than 0.91), and are fairly stable over time. Selected construct validity hypotheses were supported.
A:
|
The MOS social support survey.
| 7
|
NIv2
|
task1586_scifact_title_generation
|
zs_opt
|
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Teacher: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Solution: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Reason: The English sentence is correctly translated into Japanese. Kiribati is correctly translated as キリバス.
Now, solve this instance: Now, they do warn you that your neighbors might not like this, but, legally speaking, there's almost nothing that they can do about it.
Student:
|
近所から苦情が来る可能性は指摘されていますがだからといって法律上隣人にできることはほとんどありません
| 2
|
NIv2
|
task1218_ted_translation_en_ja
|
fs_opt
|
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] |
A text is given in Bengali. Translate it from the Bengali language to the Gujarati language. The translation must not omit or add information to the original sentence.
Q: আরও বলা হয়েছে যে, গত ৩০ নভেম্বর, ২০১৭ পর্যন্ত দেশে সংস্থাপিত মোট বিদ্যুৎ উৎপাদন ক্ষমতার ১৮ শতাংশের উৎস হ’ল পুনর্নবীকরণযোগ্য জ্বালানি।
A: સતત વિકાસ લક્ષ્યોની પ્રાપ્તિ માટે આધાર છે – સતત, આધુનિક અને સસ્તી ઉર્જા.
****
Q: এর মধ্যে অষ্টমুদি হ্রদের ওপর ১৫৪০ মিটার দীর্ঘ তিনটি সেতু রয়েছে।
A: તેમાં અષ્ટામુડી સરોવર પર કુલ 1540 મીટર લંબાઈ ધરાવતાં ત્રણ પુલ પણ સામેલ છે.
****
Q: উল্লেখ্য, ভারত ও মালদ্বীপের মধ্যে বহুদিনের বন্ধুত্বের ও ঐতিহ্যের সম্পর্ক রয়েছে।
A:
|
ભારત અને માલદીવ લાંબા સમયની અને પારંપરિક મિત્રતા ધરાવે છે.
****
| 4
|
NIv2
|
task1067_pib_translation_bengali_gujarati
|
fs_opt
|
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] |
Q: Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
The vertebrae are divided into the cervical region, the thoracic region, and which other region?
A:
|
cylindrical region
| 7
|
NIv2
|
task592_sciq_incorrect_answer_generation
|
zs_opt
|
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