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value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
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Instructions: Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be instances where direct correlation to the claim is not available. Make use of the sentences in the paragraph to provide a corresponding output supporting the claim. 3) The explanation should be at least one and at most twelve sentences long.
Input: Paragraph: Former U.S. Vice President and current contender for the 2020 Democratic presidential nomination Joe Biden has a self-acknowledged reputation for making verbal blunders, one of the more infamous of which he uttered in a speech in Danville, Virginia during the 2012 presidential campaign. That notorious statement was cited in a number of partisan social media posts in late April and early May 2019 (shortly after Biden announced his 2020 candidacy) as an instance of his “playing the race card” to disparage Republicans: Dear Joe Biden. You said to a largely Black audience that the Republican party was, “……..gonna put y’all back in chains.” I didn’t know y’all was a Southerner. Anyway, can y’all tell us what you and Obama did to improve the lives of Black Americans. — George Gamard (@GeorgeGamard) May 10, 2019 Joe Biden told a predominantly black audience in 2012 that Republicans want to “put y’all back in chains!” How do you get more racially divisive that THAT? — Build The Wall (@ditchobama) May 8, 2019 Although it’s unclear, based on contemporaneous press coverage of the event, whether the audience was accurately described as “predominantly” or “largely” black (more about which later), Biden did in fact utter the words attributed to him at a 14 August 2012 campaign attended by a racially mixed crowd, including hundreds of African Americans. The following report is from the New York Times blog “The Caucus,” posted the same day as the event: Vice President Joseph R. Biden Jr. created a stir at a campaign speech in Virginia when he told the crowd that Mitt Romney’s policies would enable the banking and financial sectors to “put you all back in chains.” The remark came roughly two-thirds of the way through Mr. Biden’s 30-minute speech, which was delivered to a crowd that included many African-Americans at the Institute for Advanced Learning and Research in Danville, Va. “Romney wants to let the — he said in the first hundred days, he’s going to let the big banks once again write their own rules, unchain Wall Street,” Mr. Biden said. “They’re going to put you all back in chains.” The moment was captured for posterity in a C-SPAN video (available here in its entirety): We would probably not be talking about this today had not Biden’s remark been widely interpreted as a reference to slavery. As such, it drew instant condemnation, beginning with the Romney campaign, which released a statement saying: “After weeks of slanderous and baseless accusations leveled against Governor Romney, the Obama campaign has reached a new low. The comments made by the vice president of the United States are not acceptable in our political discourse and demonstrate yet again that the Obama campaign will say and do anything to win this election.” Romney himself echoed that statement in a speech he gave later the same day in which he held President Obama responsible. “His campaign and his surrogates have made wild and reckless accusations that disgrace the office of the Presidency,” Romney said at a rally in Chillicothe, Ohio. “Another outrageous charge came a few hours ago in Virginia. And the White House sinks a little bit lower.” Though he didn’t specifically mention race, Romney accused Obama of pursuing a strategy of divisiveness: “Over the last four years, this President has pushed Republicans and Democrats as far apart as they can go. And now he and his allies are pushing us all even further apart by dividing us into groups. He demonizes some. He panders to others. His campaign strategy is to smash America apart and then cobble together 51 percent of the pieces.” Media pundits and campaign surrogates were more explicit in their criticism of Biden. In an opinion piece for Breitbart, conservative Ben Shapiro said the Vice President’s statement was “Race-baiting at its finest.” Former New York Mayor Rudy Giulani, a Republican, declared on Face the Nation that it was “an absolutely blatant appeal to racism.” Former U.S. Senator Rick Santorum, also a Republican, accused Biden of “play[ing] the race card.” Some Democrats agreed with the criticism. “First of all, without question they were appeals to race,” said former Virginia Governor Doug Wilder. “The important thing I got out of this was Biden separated himself from what he accused the people of doing. As a matter of fact, what he said is they are going to do something to y’all, not to me. Not us. So he was still involved with that separate American.” CBS News reported that then-U.S. Rep. Charles Rangel (D-New York) called Biden’s comment “stupid” during a radio interview: “Was he talking about slavery? You bet your a** he was. Was he using the vernacular? Yes, he was,” said Rangel, a longtime New York Democrat who is a founding member of the Congressional Black Caucus. “Did he think it was cute … Yes, he did. Was it something stupid to say? You bet your life it was stupid.” Rangel added that if an African-American had made the joke, “We would have been laughing, because we would know that deep down, they may be beating the hell out of us but they ain’t thinking about putting us into any chains.” Ebony contributor Jamil Smith agreed with Rangel’s perception that Biden was “using the vernacular,” or “code-switching,” as Smith called it, “to acclimate to a particular environment or audience.” Phonetically rendered, this is what Biden actually said: “They gonna put y’all back in chains.” But the Vice President stood by the remark in a 14 August campaign stop in Raleigh, North Carolina, insisting that the message he was trying to convey wasn’t about race, but rather the negative impact the opposition party’s vow to “unshackle Wall Street” would have on middle-class Americans: The last time these guys unshackled the economy, to use their term, they put the middle class in shackles. That’s how we got where we are. Nine million jobs lost, wage stagnation, 16 trillion dollars in wealth you all lost, in your home equity, in your 401ks, and your pension plans — you’re the ones that got nailed. All of America except for the very few. And I’m told when I made that comment earlier today in Danville, Virginia, the Romney Campaign put out a Tweet, you know Tweets, and went on the air, went on the airwaves saying “Biden’s outrageous in saying that — I think I said, instead of unshackled, unchained or — anyway, outrageous to say that, that’s what we meant. I’m using their own words. I got a message for them, if you want to know want to know what’s outrageous, it’s their policies, and the effects of their policies on middle class America, that’s what’s outrageous. Biden had, in fact, used precisely the same trope before to characterize the impact of Republican economic policies on the middle class. The day after a Republican primary debate in October 2011, Biden said, referring to economic conditions under the George W. Bush administration: “The last time we liberated the economy under their proposals, the last eight years put the middle class in chains. My lord, how many times we have to go back to that horror movie?” President Obama took Biden’s side, defending his Danville speech in an interview with People magazine: Biden’s comment sparked Romney to call the Obama campaign one of “division and hate and anger.” But Obama, speaking to PEOPLE in Dubuque, Iowa, seemed unrattled by the controversy. He said Biden’s words needed to be considered in context; that he was only saying “you, consumers, the American people, will be a lot worse off if we repeal these [Wall Street reform] laws as the other side is suggesting.” “In no sense was he trying to connote something other than that,” Obama added. The racial composition of the audience is relevant to this debate though not decisive, partly because estimates in the press were rough and contradictory. Although it was consistently reported that approximately 900 people were in attendance, and we know, from both press reports and video of the event, that a significant percentage of the attendees were African-American, the media couldn’t agree on whether more black people were present than white people, fewer black people than white people, or roughly the same number of each. The majority of mainstream news outlets reported that the audience was “predominantly,” “largely,” or “mostly” African-American. Among these were the Los Angeles Times, Politico, CBS News, Fox News, The Daily Beast, National Public Radio, and NBC News. Significantly fewer outlets reported that the audience was “about 50%” African-American. Some described it as “racially mixed.” A small minority of venues said the makeup of the crowd was “partially” African-American. We asked Tiffany Holland, a reporter who live-blogged the event for the Richmond Times-Dispatch website, for her impression of the racial makeup of the crowd. “If memory serves, the crowd was about half-African-American and half-white,” she said in an email, adding that in her experience Democratic Party events in Danville usually drew a “healthy mix of diversity.” But she also said that this was just the impression she came away with, and could be remembering it wrongly. In any case, even if only 50 percent of the attendees were African-American, Biden would have found himself gazing out over an audience that included hundreds of black faces. The crowd need not have been “predominantly” African-American to inspire a politician inclined to do so to engage in racial pandering. Claim: "Sen. Joe Biden told an audience which included hundreds of African Americans that Republican economic policies would ""put y'all back in chains."
Output: | That Biden uttered the sentence “They gonna put y’all back in chains” before just such a crowd stands confirmed. Whether it should taken as a racially charged reference to slavery we leave it to readers to judge for themselves. | 3 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
0.39056771993637085,
0.16848894953727722,
-0.27910396456718445,
0.06743226200342178,
0.047059036791324615,
0.018935907632112503,
0.4003278911113739,
1.5439841747283936,
0.09560894966125488,
0.3996623158454895,
0.15106776356697083,
1.1101088523864746,
0.4535823464393616,
-0.3819494843482971... |
In this task, you need to count the number of words in a sentence that contain the given letter
One example is below.
Q: Sentence: 'two gray birds standing in a green field'. How many words contain the letter 'a' in the sentence.
A: 3
Rationale: The words 'gray', 'standing', and 'a' contain the letter 'a'. So, the answer is 3.
Q: Sentence: 'black and white sheep grazing in a field with a church in the background'. How many words contain the letter 'v' in the sentence.
A: | 0 | 9 | NIv2 | task161_count_words_containing_letter | fs_opt | [
-0.33539360761642456,
0.35688140988349915,
-0.3013961911201477,
-0.7871110439300537,
-0.1324579119682312,
-0.23017606139183044,
0.47586339712142944,
0.7512509226799011,
0.7671468257904053,
-0.4161985218524933,
-0.7819439172744751,
0.4929339289665222,
-0.06900173425674438,
-0.11136396229267... |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
Example input: Prompt: See, Arlene? That's why I don't talk to you like that because I'm afraid I'll scare our son.
Response 1: I have 12. Wait, is the key to a success story getting the number to go down?
Response 2: Oh, Dad. Even that wasn't great.
Example output: Response 2
Example explanation: Response 2 is correct answer because it agrees with the prompt and continues the conversation in the same context.
Q: Prompt: Wow, a fan. You have TV in this tree house?
Response 1: I need that fan on. I'm sorry. I'm boiling alive in this astronaut costume.
Response 2: No, the people a couple doors down do. I put a cup to the window and listened to it.
A: | Response 2 | 3 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.721909761428833,
0.07798402011394501,
0.2914218306541443,
0.3239825665950775,
0.3001105785369873,
-0.7693672180175781,
-0.30836498737335205,
0.7501649856567383,
-0.14865681529045105,
-0.19516539573669434,
-0.7063018083572388,
-0.024674851447343826,
-0.6441582441329956,
-0.049480043351650... |
Definition: 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'.
Input: Person1: Good morning , Miss Li .
Person2: Morning , Mike .
Person1: I'm sorry that I was absent yesterday .
Person2: I've already got your certificate for sick leave . How do you feel today ?
Person1: I feel much better now .
Person2: Have you received the reading material handed out yesterday ?
Person1: I've already got it . Thanks .
Person2: I will explain it in detail in the next class , could you preview it ?
Person1: I will .
Output: | No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion | 2 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.6691601872444153,
0.15964898467063904,
0.13525192439556122,
-0.4700731337070465,
0.045231226831674576,
-0.0591408871114254,
0.5620891451835632,
-0.34555429220199585,
0.4237690269947052,
-0.34141138195991516,
-0.0642814189195633,
-0.32154858112335205,
-0.20394140481948853,
0.747404813766... |
Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Input: L'oceano ha delle proprietà che permettono ai suoni a bassa frequenza di viaggiare praticamente ovunque.
Output: | El océano tiene propiedades que permiten a los sonidos de baja frecuencia moverse, básicamente, de forma global. | 2 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.7412556409835815,
0.7274952530860901,
-1.2675976753234863,
-0.2418828159570694,
0.04545813426375389,
-0.5699624419212341,
-0.010193029418587685,
0.6440293788909912,
0.10679297149181366,
0.0025939075276255608,
-0.059186045080423355,
-0.11014038324356079,
0.030904632061719894,
-0.07475627... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choices may fit into the story at any point. Indicate your selected choices in order, i.e., as 'ab'/'bc'/'ac' and not as 'ba'/'ca'/'cb'. If options are equally plausible, pick the ones that make more sense.
Title: He yawned and appeared bored. It was only until the gorilla exhibit where his interest piqued. A large gorilla stared at Trevor through the glass. Choices: a. Trevor was surprised by how human-like it looked. b. Trevor went to the zoo with his family. c. He got so embarrassed and teased by his friends.
Output: | ab | 1 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
-0.10277313739061356,
0.015550456941127777,
0.18312717974185944,
0.5174762606620789,
0.06495398283004761,
-0.1615508496761322,
0.1751171052455902,
1.0772768259048462,
-0.30218371748924255,
0.5084855556488037,
0.05922514945268631,
-0.1496971696615219,
-0.2582951486110687,
-0.379005014896392... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Ex Input:
Title: George Had a Terrible Day. Sentence 1: George slept through his alarm yesterday morning. Sentence 2: This caused him to miss an important meeting. Sentence 3: As a result, he was fired from his job. Sentence 4: On his commute back home, George's car got a flat tire.
Ex Output:
Yesterday was a very terrible day for George.
Ex Input:
Title: Dead Batter. Sentence 1: Tom was out with friends all day. Sentence 2: His mom kept trying to call him. Sentence 3: Tom didn't notice because his phone battery was dead. Sentence 4: When he noticed he charged it right up.
Ex Output:
He saw the messages and knew he was in trouble.
Ex Input:
Title: Forgotten Homework. Sentence 1: Ryan had forgotten his math assignment at home. Sentence 2: He quickly called his mom. Sentence 3: He asked her to bring the assignment to school. Sentence 4: Ryan's mom drove back to school with the assignment.
Ex Output:
| Ryan was able to give the assignment to his teacher.
| 1 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.13359028100967407,
0.37013742327690125,
0.33206304907798767,
-0.6524965167045593,
0.2576107978820801,
-0.8769185543060303,
0.234948992729187,
1.309027075767517,
-0.438199907541275,
0.24920649826526642,
-0.5506314635276794,
0.3347291350364685,
-0.2930030822753906,
-0.3532159626483917,
... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Ex Input:
PersonX decorates PersonY's house
Ex Output:
creative
Ex Input:
PersonX enters the king 's ___
Ex Output:
bad
Ex Input:
PersonX organizes another ___
Ex Output:
| angry
| 1 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.4165295362472534,
0.7269287109375,
-0.007426292635500431,
-0.3520084619522095,
-0.34889498353004456,
-0.6612217426300049,
0.949729323387146,
0.7083179354667664,
-0.06885422766208649,
-0.5376557111740112,
0.19783207774162292,
0.3135584890842438,
-0.6471356153488159,
0.15545997023582458,
... |
Given a prompt and two completions from a language model, select the completion that is more topical with respect to continuing the prompt. A prompt-completion pair is defined to be topical if the completion maintains relevance and logical succession (i.e. stays on topic) with the prompt. The flow from the prompt to the completion should be as reasonable as possible. Generate either Completion A or Completion B.
--------
Question: Prompt: You bitches are going into the nail salon looking like sheep.You're
Completion A: wired proven farmers! Late at midnight settlementdays, show the fever Hawks are just for people they can sign on to The Cumberland Group's
Completion B: a pussy. You're like a girl who wants to suck my dick.Theres two different kinds of pussy, and you're one of the guy
Answer: Completion B
Question: Prompt: Thanks for the small flat rate priority boxes. I'll remember to use
Completion A: those for the other priority boxes. I'll also do the "first letter of the alphabet" priority. I've also put together my preferred priority box
Completion B: them down the road
Answer: Completion A
Question: Prompt: let me find out bitches on twitter talking shit bout
Completion A: my book. Also my book will be released soon so I guess you can go check it out. Just be careful when reading it. It may be
Completion B: trump don't have any business posting in the USA do they? the only reason trump is popular is that he is unpopular, so to speak. h
Answer: | Completion B
| 7 | NIv2 | task139_detoxifying-lms_classification_topicality | fs_opt | [
0.17989957332611084,
-0.2588880658149719,
-0.022478807717561722,
0.508000910282135,
-0.07430711388587952,
-0.6154433488845825,
0.8183599710464478,
0.7261064052581787,
-0.29197877645492554,
0.13357092440128326,
-0.500489354133606,
-0.03188909962773323,
-0.07313238084316254,
-0.5356295108795... |
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
[EX Q]: हर धर्म की माँग है कि हम उनके विश्वासों को मानें ।
[EX A]: या तो धर्म यह माँग करता है कि हम उनकी योजनाओं का पालन करें ।
[EX Q]: एक बिस्तर पूरी करने के लिए एक परिपूर्ण जगह है.
[EX A]: एक बिस्तर शिविर के लिए एक भयानक जगह है.
[EX Q]: यदि आप रोटी बनाने के लिए ख़रीदते हैं तो आपको रोटी की एक रोटी रखनी चाहिए ।
[EX A]: | अगर आप स्वादिष्ट रोटी के लिए रास्ता है तो आप एक रोटी की रेसिपि होनी चाहिए.
| 6 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
0.015595078468322754,
0.5570590496063232,
-0.07998985052108765,
-0.2912895977497101,
-0.7671182155609131,
-1.1094043254852295,
0.4705856740474701,
0.47105979919433594,
-0.31997257471084595,
-0.699510931968689,
-0.6909645795822144,
0.20372800529003143,
-0.5265640020370483,
0.500050961971283... |
Detailed Instructions: In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. For example, if the input list contains two items, you can drop one of the items each time. So the output should be a list comprising two inner lists that you have created by decreasing the items.
Q: ['M', 'v', '2', 'N', '0']
A: | [['M', 'v', '2', 'N'], ['M', 'v', '2', '0'], ['M', 'v', 'N', '0'], ['M', '2', 'N', '0'], ['v', '2', 'N', '0']] | 9 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.517162561416626,
-0.008163836784660816,
-0.30459174513816833,
0.12381480634212494,
0.5438008308410645,
-0.2527381479740143,
0.12272839993238449,
0.4766625165939331,
0.4377097487449646,
0.02875562384724617,
-0.4299125075340271,
0.053992290049791336,
-0.15213042497634888,
-0.2581255435943... |
Definition: You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Input: Event:PersonX comes ___ for the holidays. Intent: 1) to give advice to others
Output: | Positive | 2 | NIv2 | task923_event2mind_classifier | zs_opt | [
-0.6150437593460083,
-0.24200108647346497,
-0.0910467877984047,
-0.23788078129291534,
-0.28153282403945923,
-1.3971366882324219,
0.9648164510726929,
-0.00803013239055872,
0.22872917354106903,
0.09296074509620667,
0.20359015464782715,
0.32233649492263794,
-0.46749335527420044,
0.07455361634... |
Given the task definition and input, reply with output. You are given a statement written in Bengali. 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 .
Statement: ২০০৬ সালের ডিসেম্বরে, স্পেনীয় ক্লাব রিয়াল মাদ্রিদ ১৩ মিলিয়ন ইউরোর বিনিময়ে ইগুয়াইনের সাথে চুক্তি করে। ২০০৭ সালের ১১ জানুয়ারি, রিয়াল বেতিসের বিপক্ষে কোপা দেল রে’র দ্বিতীয় পর্বের খেলায় তার অভিষেক হয়। ১৪ জানুয়ারি রিয়াল জারাগোজার বিপক্ষে <MASK> তার অভিষেক হয়। তিনি অনেকগুলো গোলের সুযোগ তৈরি করেন এবং রিয়াল মাদ্রিদের একমাত্র গোলে সহায়তা করেন। খেলায় রিয়াল মাদ্রিদ ১–০ ব্যবধানে জয় লাভ করে। ২৪ ফেব্রুয়ারি, মাদ্রিদ ডার্বিতে অ্যাটলেটিকো মাদ্রিদের বিপক্ষে তিনি প্রথম গোল করেন। ইস্পানিয়োলের বিপক্ষে খেলার শেষ মিনিটে গোল করে ইগুয়াইন তার দূর্দান্ত নৈপূন্যের পরিচয় দেন। খেলায় রিয়াল মাদ্রিদ ৪–৩ ব্যবধানে জয় লাভ করে।
Option A: পেরুর
Option B: চিলির
Option C: বার্সেলোনার
Option D: লীগে
| লীগে | 5 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
-0.6141339540481567,
0.6008999943733215,
-0.2220344990491867,
0.37801697850227356,
-0.6080446839332581,
0.44817379117012024,
0.3094779849052429,
0.6909647583961487,
0.47086721658706665,
-0.8382458686828613,
-0.5775755643844604,
0.6777883768081665,
-0.33737409114837646,
-0.11882263422012329... |
You are given a statement written in Tamil. 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 .
Statement: புனித சிந்தாத்திரை மாதா திருக்கோவில் <MASK>, தமிழ்நாட்டில், நாகை மாவட்டத்தில் கொள்ளிடம் ஆற்றுப்படுகையில் சீர்காழியிலிருந்து சிதம்பரம் செல்லும் (வேளாங்கண்ணி, மயிலாடுதுறை முதல் பாண்டிச்சேரி (அ) புதுச்சேரி, சென்னை) தேசிய நெடுஞ்சாலையின் 6-வது கீ.மீ இல் உள்ள ஊரான எருக்கூரில் உள்ள ஒரு கத்தோலிக்கக் கோவில்.
Option A: கோவா
Option B: தமிழ்நாட்டில்
Option C: பாண்டிச்சேரி
Option D: இந்தியாவில் | இந்தியாவில் | 0 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | zs_opt | [
0.5725842714309692,
0.6088665723800659,
0.28782913088798523,
0.42941033840179443,
-0.037795744836330414,
-1.6266040802001953,
-0.33558738231658936,
0.9016956090927124,
-0.1717432737350464,
0.5329183340072632,
0.5734837055206299,
0.0436808206140995,
-0.1893235146999359,
-0.5165380239486694,... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Your sentence should be grammatically and syntactically correct. Also stick to the context of the given story. For example, if the story talks about "doctors", you can talk about "health" or "diagnosis", but don't mention "aliens". Avoid introducing any extra/irrelevant information, and use names instead of pronouns (e.g. he / she) wherever possible. Avoid simply negating the original middle, for example: "She likes cakes." is changed to "She doesn't like cakes."
Q: Beginning: Today I saw an ant carrying a leaf. Middle: I watched the ant walk for a while. Ending: The any finally carried the leaf into his home.
A: | I watched the ant walk for a while and then stepped on it. | 4 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.2480100393295288,
0.5133395195007324,
0.13387300074100494,
0.14829319715499878,
-0.5484029054641724,
-0.29403430223464966,
0.1661008894443512,
0.5604186058044434,
-0.441120445728302,
-0.4705426096916199,
-0.6987659931182861,
0.22249361872673035,
-0.6129400730133057,
-0.045501261949539185... |
Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications of each category:
1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows
2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows
3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows
4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows
5. Comparative: Comparing two rows in the table, regarding their values in one column
6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows
7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows.
Here are the definitions of logical operators for understanding of command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Input: eq { hop { argmax { all_rows ; administrative panel } ; party } ; fine gael }
Output: | superlative | 3 | NIv2 | task212_logic2text_classification | zs_opt | [
0.04223678633570671,
-0.26606273651123047,
-0.3988945782184601,
0.22923484444618225,
0.4063754975795746,
-0.47070956230163574,
0.78662109375,
0.6608932018280029,
0.3420840799808502,
-0.04413067549467087,
-0.09527014195919037,
0.08013629913330078,
0.11083933711051941,
0.46576017141342163,
... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Problem:Sentence 1: A man with a large hat in the bushes. Sentence 2: The man is hiding.
Solution: | N | 8 | NIv2 | task190_snli_classification | zs_opt | [
-0.2495846450328827,
0.43395519256591797,
0.347612589597702,
-0.3843759000301361,
-0.2470230758190155,
-1.2800625562667847,
0.2631306052207947,
0.8833996057510376,
0.3605648875236511,
-0.022090405225753784,
-0.8737040758132935,
-0.5610721111297607,
-0.543401300907135,
-0.369271457195282,
... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Problem:Nazywam się Ursus Wehrli i dzisiejszego ranka chciałbym opowiedzieć wam o moim projekcie Porządkowania Sztuki.
Solution: | من اُرسِس وِرلی هستم, من می خوام امروز با شما در باره ی پروژه ام ، "" مرتب کردن هنر "" صحبت کنم | 8 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
-0.7355141639709473,
0.45415163040161133,
-0.43677225708961487,
0.06317247450351715,
-0.9308154582977295,
-0.2860460877418518,
0.8478756546974182,
-0.8657844066619873,
0.3943935036659241,
0.11751362681388855,
-0.2822722792625427,
0.7063366174697876,
-0.17635074257850647,
0.1949924081563949... |
TASK DEFINITION: In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that can be replaced with synonyms. The objective is to construct a question in a manner that (a) captures the facts specified in at least one of the triplets, and (b) ideally contains a limited number of blanks such that it is a well-formed question that is easy to answer. A blank can represent a single word or a phrase.
PROBLEM: [['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'food', 'Italian'], ['Fitzbillies', 'customer rating', 'average'], ['Fitzbillies', 'area', 'city centre'], ['Fitzbillies', 'familyFriendly', 'yes']]
SOLUTION: _____, an average rated, family-friendly coffee shop in the city centre serving low cost _____ food.
PROBLEM: [['[TABLECONTEXT]', '[TITLE]', 'List of 2002 box office number-one films in the United States'], ['Ice Age', 'DATE', 'March 17, 2002'], ['[TABLECONTEXT]', 'FILM', 'Ice Age']]
SOLUTION: _____ led the United States box office on March 17, 2002.
PROBLEM: [['The Golden Palace', 'eatType', 'coffee shop'], ['The Golden Palace', 'food', 'French'], ['The Golden Palace', 'priceRange', 'less than £20'], ['The Golden Palace', 'customer rating', 'average']]
SOLUTION: | _____ is a _____ that serves French food at less than £20 and has a average customer rating.
| 8 | NIv2 | task1407_dart_question_generation | fs_opt | [
0.2676824629306793,
-0.16867947578430176,
-0.27356165647506714,
0.4962262511253357,
0.4513993561267853,
0.0609874501824379,
0.6268303394317627,
0.7104514241218567,
-0.6103163957595825,
0.05028409883379936,
-0.054104652255773544,
0.38824528455734253,
-0.378349244594574,
0.18379934132099152,... |
Given the task definition and input, reply with output. In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will want what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonY and others, respectively. For example, as a result of PersonX giving PersonY gifts, PersonY may want to open the gift. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX calls the restaurant<sep>Tail: X TO COME AGAIN
| Yes | 5 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
-0.18604998290538788,
0.5438108444213867,
0.3664395809173584,
0.05054834112524986,
-0.36307042837142944,
-0.4053230583667755,
1.0824239253997803,
0.27647116780281067,
-0.7331570386886597,
-0.4496154487133026,
-0.21596454083919525,
-0.4013013243675232,
-0.7917811870574951,
0.254241317510604... |
Detailed Instructions: 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.
Q: Context_1 : Alta Group Newspapers Inc. was a newspaper publisher in the northeastern United States, overseeing three daily newspapers and one weekly newspaper before being bought and broken up by Community Newspaper Company in 1996. Context_2 : James Cline Quayle (May 25, 1921 – July 7, 2000) was an American newspaper publisher and businessman who owned several newspapers in the United States including the "Huntington Herald-Press" in Indiana and the "Wickenburg Sun" in Arizona. He was the father of Dan Quayle, the 44th Vice President of the United States. Context_3 : Marilyn Tucker Quayle (born July 29, 1949) is an American lawyer and novelist. She is the wife of the 44th Vice President of the United States, Dan Quayle, and served as Second Lady of the United States from 1989 until 1993. Context_4 : Gerald Rudolph Ford Jr. (born Leslie Lynch King Jr.; July 14, 1913 – December 26, 2006) was an American politician who served as the 38th President of the United States from August 1974 to January 1977, following the resignation of Richard Nixon. Prior to this he served eight months as the 40th Vice President of the United States, following the resignation of Spiro Agnew. He was the first person appointed to the vice presidency under the terms of the 25th Amendment, and consequently the only person to have served as both Vice President and President of the United States without being elected to executive office. Before his appointment to the vice presidency, Ford served 25 years as U.S. Representative from Michigan's 5th congressional district, the final nine of them as the House Minority Leader. Context_5 : Eugene Collins Pulliam (May 3, 1889 – June 23, 1975) was an American newspaper publisher and businessman who was the founder and longtime president of Central Newspapers Inc., a multibillion-dollar media corporation. He was the maternal grandfather of Dan Quayle, the 44th Vice President of the United States. Context_6 : Dan Quayle is a politician from the state of Indiana. Quayle represented Indiana's 4th congressional district in the United States House of Representatives from 1977 to 1981. Quayle upset 3-term incumbent United States Senator Birch Bayh in 1980 as part of the Republican landslide, which saw the party gain 12 seats and the majority in the United States Senate and Ronald Reagan elected president. In 1988, Quayle was chosen by U.S. Vice President George H.W. Bush, the Republican presidential nominee as his running mate and elected the nation's 44th Vice President, serving from January 20, 1989 to January 20, 1993. Context_7 : Joe Dorsey Smith Jr. (April 6, 1922 – March 20, 2008), was the former general manager, president, publisher, and chairman of the board of the "Alexandria Daily Town Talk" in Alexandria, the largest newspaper (circulation 40,000) in central Louisiana. Smith became publisher in 1962. After a half century of service, he retired from "The Town Talk" in March 1996, and the paper was sold for $62 million to Central Newspapers, Inc., of Indianapolis, Indiana. Smith died suddenly at his Alexandria residence three days after the newspaper observed its 125th anniversary on March 17, 2008. He was a former chairman and president of the trade associations, the American Newspaper Publishers Association and the Southern Newspaper Publishers Association. He was a former officer of the Associated Press news-gathering organization. Known for his acute civic-mindedness, Smith advocated reform in state and local government. He was a former president of the Public Affairs Research Council, a "good government" research institution. He served on the boards of Tulane University Health Sciences Center in New Orleans, LSU Manship School of Mass Communication and the Louisiana Board of Regents in Baton Rouge, the body which governs public higher education. Context_8 : James Danforth "Dan" Quayle (born February 4, 1947) is an American politician and lawyer who was the 44th Vice President of the United States from 1989 to 1993. He was also a U.S. Representative (1977–81) and U.S. Senator (1981–89) from the state of Indiana. Context_9 : Raymond Cyrus "R.C." Hoiles (November 24, 1878 – October 31, 1970) was an American newspaper publisher. He was born in Alliance, Ohio and started his career as a subscription solicitor in the local newspaper "The Alliance Review". Hoiles and his brother bought among many newspapers "Santa Ana Daily Register" in 1935. Hoiles became president of Freedom Newspapers in 1950, in which position he stayed until his death in 1970. Context_10 : Darrow J. "Duke" Tully (February 27, 1932 - June 20, 2010) was a former publisher of the "Arizona Republic" and the "Phoenix Gazette" newspapers, published in Phoenix, Arizona. Both were owned by Central Newspapers, Inc., headquartered in Indianapolis, Indiana, at the time. Central Newspapers was founded by Eugene C. Pulliam, grandfather of United States Vice President Dan Quayle. fact_1 : He was the maternal grandfather of Dan Quayle, the 44th Vice President of the United States. fact_2 : James Danforth "Dan" Quayle (born February 4, 1947) is an American politician and lawyer who was the 44th Vice President of the United States from 1989 to 1993. Answer: Dan Quayle
A: | Eugene Collins Pulliam, was an American newspaper publisher and businessman who was the founder and longtime president of Central Newspapers Inc., and was the maternal grandfather of which American politician and lawyer who was the 44th Vice President of the United States from 1989 to 1993? | 9 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
-0.15694668889045715,
-0.24071969091892242,
-0.3737204074859619,
0.6863746047019958,
0.8014209270477295,
0.005106924567371607,
0.6002470254898071,
1.0870139598846436,
-0.11350830644369125,
0.2823105454444885,
0.07566717267036438,
1.0820286273956299,
-0.8020843863487244,
0.3197837769985199,... |
Teacher:In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Teacher: Now, understand the problem? Solve this instance: Gujarati: ચાર લીલા શાકભાજીથી ભરપૂર એક નાનું બોક્સ.
English: A small box filled with four green vegetables.
Student: | Yes | 6 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-1.0449203252792358,
0.5275143384933472,
0.7964804172515869,
0.10036071389913559,
-0.05151642858982086,
-0.9405782222747803,
0.49501022696495056,
0.6957512497901917,
-0.09111366420984268,
-0.5360730886459351,
0.02015542984008789,
0.3769899606704712,
-0.3360007107257843,
-0.1281331181526184... |
Q: The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
(BACKSADDLEమళ్ళీ ప్లే కొనసాగుతుంది)
A: | (BACK IN THE SADDLE AGAIN CONTINUES PLAYING) | 7 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
-0.35499370098114014,
1.3988850116729736,
0.45382213592529297,
0.4326806664466858,
0.30915215611457825,
-0.9982523918151855,
1.0424124002456665,
-0.29143571853637695,
-0.0559643879532814,
-0.5503062009811401,
-0.4579712152481079,
0.5542246103286743,
-1.2516380548477173,
0.45446401834487915... |
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.
[EX Q]: [-503, 852, -653, 291, -603, -419, -585, -750, -10, -599, 735, 74, 791, -752, -443, 557, -794, -501, -294, 736, 106, -323]
[EX A]: [-585, -323]
[EX Q]: [908, 164, -816, -708, -812, -476, 151, -651, -887, -196, -832, 510, -818, 721, 612, 995, 435, -444, 459, 585, -21, 533, 574]
[EX A]: [151, -818, -444, 585]
[EX Q]: [-688, 826, -706, -147, -664, 105, -337, -136, -276, 161, 900, 575, 362, -679, -399, -209, 764, 127, -38, 617, 544, -448]
[EX A]: | [161, 575]
| 6 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.8347781896591187,
-0.4564877152442932,
-0.7812104225158691,
-0.13097693026065826,
-0.16798502206802368,
-0.06192215159535408,
0.44410890340805054,
0.32494020462036133,
-0.8228932619094849,
-0.3901699483394623,
-0.7010801434516907,
-0.07707789540290833,
-0.7913352251052856,
0.04787945747... |
Teacher:Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Teacher: Now, understand the problem? Solve this instance: TALLAHASSEE Fla. (AP) â Willie Taggart grew up a Florida State fan and dreamed of playing for the Seminoles.
He never donned the garnet and gold as a player but has managed to one-up that goal.
Taggart was introduced as the 11th head coach in Florida State history on Wednesday as he returns to the Sunshine State after one season at Oregon. The 41-year old Bradenton native coached at South Florida from 2013-16 before taking the Ducks job.
"Guess I wasn't good enough to get a scholarship to play here " quipped Taggart who played and later coached at Western Kentucky. "No matter where I went I rooted for the Seminoles. Until I went to South Florida. That was the first time I had to root against the Seminoles.
Willie Taggart gestures as he is introduced as Florida State's new football coach during an NCAA college football news conference in Tallahassee Fla. Wednesday Dec. 6 2017. (AP Photo/Mark Wallheiser)
Three days after Fisher resigned Taggart met with Florida State President John Thrasher athletic director Stan Wilcox and board of trustees member Ed Burr on Monday in Scottsdale Arizona. After weighing the offer overnight Taggart accepted on Tuesday and informed his players at Oregon .
He arrived in Tallahassee early Wednesday morning and met with the team before the news conference. Taggart said he appreciated Oregon athletic director Rod Mullens for giving him his first chance at a Power Five job but that the chance to coach at the school he has followed since childhood was too good to pass up.
"I know I let him down and I'm sorry. The timing was probably not right but it is never right " Taggart said. "This one chance was perfect. To be closer to family and coach in a Power Five and an opportunity to win a national championship are personal goals."
Wilcox said there were a number of candidates for the job but that Taggart was his top choice.
"We had a number of candidates but knew his passion would rise to the top " he said.
Thrasher said he had a feeling early last week that Fisher was going to leave and that it was time to look at their options.
Willie Taggart does the Seminole chop in front of Doak Campbell Stadium before being introduced as Florida State University's new NCAA college football coach in Tallahassee Fla. Wednesday Dec. 6 2017. (AP Photo/Mark Wallheiser)
"The university is bigger than one person we're resilient " he said. "To get a guy with the quality he has is a remarkable thing particularly in the time frame that we did it."
Taggart will earn $30 million over six years. Florida State will also pay the remaining $1 370 122.28 he still owes South Florida and $3 million owed to Oregon as part of buyouts of his previous contracts.
Taggart has a 47-50 career record including 7-5 at Oregon this season. He has a reputation of rebuilding Western Kentucky USF and Oregon but he views coming to Florida State as more of a realignment effort.
The Seminoles ran a pro-style offense under Fisher but Taggart 's "Gulf Coast Offense" is spread based. Taggart 's offenses have ranked in the top 20 in scoring the past two years.
Student: | Willie Taggart | 6 | NIv2 | task419_persent_answer_generation | zs_opt | [
-0.18530622124671936,
-0.21973346173763275,
-0.8935814499855042,
-0.4830888509750366,
0.35028010606765747,
-0.29486778378486633,
0.6287398338317871,
0.8155652284622192,
-0.6514887809753418,
-0.2868438959121704,
0.20646388828754425,
0.23599541187286377,
-0.41994035243988037,
0.2268374264240... |
Part 1. Definition
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY, or others, feel what is mentioned in the Tail or not. Feelings in this task are the emotional reactions on the part of PersonY or other participants in an event. For example, as a result of gift-giving, others (in this case, PersonY) might feel appreciated. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Part 2. Example
Head: PersonX adapts ___ to conditions<sep>Tail: Get things done more effectively
Answer: No
Explanation: As a result of the Head, The others won't feel things are done more effectively.
Part 3. Exercise
Head: PersonX spends too much money<sep>Tail: none
Answer: | Yes | 7 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.15302211046218872,
-0.22105446457862854,
0.19531621038913727,
0.17648273706436157,
-0.07530820369720459,
-1.1927789449691772,
0.8386826515197754,
0.5667223930358887,
-0.6938747763633728,
-0.2550289034843445,
-0.2354765236377716,
-0.29059624671936035,
-0.8554637432098389,
-0.0967375561594... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Problem:Sentence 1: Eight girls are cheerleading outside in yellow uniforms. Sentence 2: The cheerleaders are on the sidelines of the football game.
Solution: | The girls are on a team. | 8 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | zs_opt | [
-0.6306171417236328,
0.703425407409668,
-0.3160923719406128,
-0.46519020199775696,
-0.14582371711730957,
-0.4619937837123871,
-0.28432101011276245,
0.9127431511878967,
0.41758936643600464,
-0.37067437171936035,
-0.9114246368408203,
-0.6706962585449219,
-0.21282561123371124,
-0.126377105712... |
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
--------
Question: Polymer clay is formed to metal spring back barrettes, and are available in _ different styles.
Answer: five
Question: Albino barbs are a light yellow with _ barely visible stripes.
Answer: four
Question: Chimps have long childhoods and are dependent on their mother's care for _ years.
Answer: | five
| 7 | NIv2 | task672_nummersense | fs_opt | [
0.47489532828330994,
0.3379373550415039,
-0.5102515816688538,
-0.009655734524130821,
-0.5780085325241089,
-0.6605602502822876,
0.37692105770111084,
0.4000126123428345,
0.03928930312395096,
-0.1876615583896637,
-0.01206841878592968,
0.8407236337661743,
-0.9055423736572266,
0.146057337522506... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
Example: Sentence: Jacob and Benny are squatting at the gym. Jacob has thin frail legs and Benny has big strong legs. Question: Who squats less weight? (A) Jacob (B) Benny
Output: Jacob
Typically, people with thin frail legs squat less weight than people with big strong legs, so the answer is Jacob.
New input case for you: Sentence: Bob was cleaning with a scrub brush. He cleaned both tile and carpet. He noted that the carpet caused more friction. Question: Which surface would cause the scrub brush to scrub with less speed? (A) The carpet (B) The tile
Output: | The carpet | 1 | NIv2 | task1378_quarel_correct_answer_generation | fs_opt | [
-0.4677586853504181,
1.1446971893310547,
-0.7405679225921631,
-0.37782591581344604,
0.14966833591461182,
0.14259758591651917,
0.17468047142028809,
0.2988168001174927,
0.08352123200893402,
-0.12671056389808655,
-0.5258980989456177,
0.6302354335784912,
0.2567097544670105,
-0.2332787066698074... |
instruction:
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.
question:
さらに、「今後かなり多くの人々が民主主義への道を選ぶのを我々は眼にするだろうと私は信じている」とも述べた。
answer:
បានបន្ថែមពីលើនេះទៀតថា "ខ្ញុំជឿថា យើងនឹងឃើញក្នុងពេលឆាប់ៗនេះ ដែលមានមនុស្សជាច្រើនដើរនៅលើផ្លូវទៅកាន់លទ្ធិប្រជាធិបតេយ្យ។"
question:
この戦闘のあいだに、カナダは２０００人の水兵、王立カナダ空軍の７６２人のメンバーを失った。
answer:
ក្នុងអំឡុងពេលប្រយុទ្ធ ប្រទេសកាណាដាបានបាត់បង់នាវឹកចំនួន2,000នាក់ និងសមាជិកមកពីកងទ័ពអាកាសរ៉ូយ៉ាល់កាណាដៀនអ៊ែហ្វសចំនួន762នាក់។
question:
イタリアの総理大臣シルビオ・ベルルスコーニの政府が、昨日下院の信任を得た後、木曜に上院から信任を受けた。
answer:
| រដ្ឋាភិបាលរបស់នាយករដ្ឋមន្ត្រីនៃប្រទេសអ៊ីតាលីលោកស៊ីលវីអូបឺលូស្កូនីបានទទួលទំនុកចិត្តដោយការបោះឆ្នោតពីសំនាក់មន្ត្រីរៀបរៀងច្បាប់នៅថ្ងៃព្រហស្បត៍ បន្ទាប់ពីពួកគេបានទទួលទំនុកចិត្តពីរដ្ឋសភាកាលពីម្សិលមិញ។
| 9 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.6785786151885986,
0.340049684047699,
-0.38287806510925293,
-0.4339846968650818,
-0.1064177006483078,
-0.3088220953941345,
0.9811599254608154,
0.06226010620594025,
-0.4386809468269348,
-0.42804259061813354,
-0.36577481031417847,
0.21431107819080353,
-0.6885278224945068,
0.629699945449829... |
Instructions: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment.
Input: No antidote inside the vehicle .
Output: | Changed | 3 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.7724863290786743,
0.8437244892120361,
0.006494229659438133,
-0.26109832525253296,
-0.4885432720184326,
-0.34159791469573975,
0.3167352080345154,
0.7863039970397949,
0.38707244396209717,
-0.567145824432373,
-0.6488445997238159,
-0.581606388092041,
-0.81139075756073,
-0.07311604917049408,... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader.
Input: Consider Input: Aiden entered the patio. Hannah entered the patio. The lettuce is in the blue_suitcase. Aiden moved the lettuce to the green_bucket. Hannah entered the bathroom. Avery entered the bathroom. The eggplant is in the red_crate. Hannah moved the eggplant to the red_pantry. Aiden entered the master_bedroom. Avery entered the master_bedroom. The celery is in the blue_pantry. Aiden moved the celery to the green_cupboard. Aiden entered the closet. Avery entered the closet. The grapefruit is in the red_bottle. Aiden moved the grapefruit to the blue_crate. Where was the grapefruit at the beginning?
Output: red_bottle
Input: Consider Input: Jackson entered the garden. Evelyn entered the garden. The broccoli is in the green_suitcase. Evelyn exited the garden. Jackson moved the broccoli to the blue_pantry. Jackson exited the garden. Evelyn entered the garden. Jackson entered the den. Jacob entered the den. Phone rang. The green_pepper is in the green_drawer. Jacob exited the den. Jackson moved the green_pepper to the green_pantry. Jackson exited the den. Jacob entered the den. Phone rang. Evelyn entered the crawlspace. Jack entered the crawlspace. The pumpkin is in the blue_bathtub. Jack exited the crawlspace. Evelyn moved the pumpkin to the green_box. Evelyn exited the crawlspace. Jack entered the crawlspace. Evelyn entered the dining_room. Jackson entered the dining_room. The spinach is in the green_bucket. Jackson exited the dining_room. Evelyn moved the spinach to the blue_container. Evelyn exited the dining_room. Jackson entered the dining_room. Phone rang. Where is the spinach really?
Output: blue_container
Input: Consider Input: Evelyn entered the laundry. Alexander entered the laundry. The apple is in the red_bucket. Alexander exited the laundry. Evelyn moved the apple to the green_suitcase. Alexander entered the living_room. Evelyn entered the living_room. The orange is in the green_basket. Evelyn exited the living_room. Alexander moved the orange to the green_drawer. Phone rang. Alexander is in the living_room. Evelyn entered the living_room. The orange is in the green_drawer. Evelyn exited the living_room. Phone rang. Alexander moved the orange to the green_basket. Sophia entered the bathroom. Evelyn entered the bathroom. The cucumber is in the blue_bathtub. Evelyn exited the bathroom. Sophia moved the cucumber to the red_bottle. Where does Sophia think that Evelyn searches for the cucumber?
| Output: blue_bathtub
| 2 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.24069033563137054,
-0.46967148780822754,
-0.5611922144889832,
-0.21835872530937195,
-0.37466052174568176,
-0.27287501096725464,
0.08212302625179291,
0.7523767948150635,
0.23432233929634094,
-0.23461714386940002,
-0.5182613134384155,
0.6081089973449707,
-0.19361025094985962,
0.01826965063... |
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
One example: Verify if the sentiment of the following document towards the entity Bill Clinton is Positive . Bill Clinton knows how to win friends and influence people. The former president is a master of reinvention — and the same talents that guided him into office have propelled him, more recently, into the stratosphere of Internet stardom.
Solution is here: yes
Explanation: Here the author of the document praises Bill for this ability to win friends. Hence the sentiment should be Positive and the answer is yes.
Now, solve this: Verify if the sentiment of the following document towards the entity Tiffany Richardson is Neutral . Since Tyra Banks yelled "We were rooting for you!" on America's Next Top Model it's become one of the most iconic moments in reality TV history and one of the most inescapable GIFs on the internet. Now more than a decade since Banks flipped on contestant Tiffany Richardson the former model hopeful reveals what viewers didn't see how she feels about Banks and how far she 's come.
âThis is a really difficult decision â Tyra Banks said face stoic voice solemn. âYouâve put me in a very difficult place.â Before her stood America's Next Top Model contestants Tiffany Richardson and Rebecca Epley who were on the chopping block.
The Cycle 4 hopefuls were relatively motionless aside from the sporadic subtle head nods as they waited to see whose photo Banks was holding. Whoever was pictured would be âsafeâ in the worldâs fiercest modeling competition â at least for an additional week. But when Banks finally revealed the reflective glossy image in her hands it was blank: Both Richardson and Epley were going home. A shock wave rippled through the room leaving the models who would be moving forward and Banks's fellow judges visibly shaken. Epley let her tears flow freely as she was comforted by her fellow contestants turned friends; Richardson meanwhile tried to lighten the mood telling the other models âCheer up waterheads. [What are you] lookinâ all sad for?â The contestants wiped their faces and after saying their goodbyes Banks called the two eliminated women back over for what would become the most memorable send-off in reality TV history.
âRebecca I admire your emotion right now. It shows to me that this was something thatâs very important to you â Banks said before turning to Richardson . âTiffany Iâm extremely disappointed in you. This is a joke to you. ⦠This is serious to these girls and it should be serious to you.â âLooks can be deceiving " Richardson interjected. âI'm hurt. ⦠I canât change it Tyra. ⦠Iâm sick of crying about stuff that I cannot change. Iâm sick of being disappointed.â âYou ain't sick of being disappointed Tiffany â Banks replied her voice becoming irritated her bright red hair following every shake of her head. âIf you were sick of being disappointed you would stand up and you would take control of your destiny. Do you know that you had a possibility to win? Do you know that all of America is rooting for you?â Banks and Richardson began talking over each other as they tried to explain themselves both growing more passionate with each word until Banks became completely unhinged. âI have never in my life yelled at a girl like this â she shouted her voice cracking. The glare in her eyes sharpened as she looked down at Richardson whoâd turned her head away amid the yelling. âWhen my mother yells like this itâs because she loves me. I was rooting for you! We were all rooting for you!â Suddenly the room fell silent. For the first time the very polished Tyra Banks had broken character. She had always been the knowledgeable big sister who carried herself with grace someone you could count on for sound advice someone to look up to. But that wasn't who audiences saw when she went in on Richardson. It left folks watching at home shook â so much that weâre not only still talking about it today but we've managed to transform the unforgettable moment into a way we interact with one another.
If you were to do a general search on YouTube for the scene which aired in April 2005 youâd see a few results â âTyra Banks Gone Wild â âTyra Banks Yells at Girl â âTyra Yells at Tiffany Extendedâ â totaling more than 11 million views and counting. And you probably see the continuous loop of Banks yelling her famous line in GIF form on at least one social media platform a day. The scene has been memed over and over again tracing back to old message boards the underbelly of the early internet. It also lives on through fan art and tweets and Vines (RIP) and it was parodied on Family Guy on which Banks was portrayed as a model who loses her temper and transforms into a lizard eating one of the contestants. It was even used in January 2017 as a symbol of protest during the international Womenâs March in reference to President Donald Trump the day after he was inaugurated. "None of us were rooting for you " a protester's sign read. "How dare you."
But before she returned to Miami Richardson said that producers âhintedâ that sheâd be able to come back for Cycle 4 if she participated in an anger management program. According to Richardson the suggestion came because of how she âd performed on her psych test an assessment of the contestantsâ mental stability before theyâre allowed into the house with the other models. Cocks said the models are screened âextensivelyâ and she'd be surprised if those who vet contestants âdid not do their due diligence." Though she mainly worked in postproduction and couldn't confirm Richardson's account Cocks did say âI think itâs possible. Look she obviously made a really good impression in Season 3 if she failed whatever she said she failed. I could definitely see them reaching out to her again and being like âDo you want to give this another try?â" Richardson said she did try anger management for just âa secondâ and âit didnât really change much.â She wouldnât disclose how much time sheâd spent in her program. (A representative for Ken Mok the president of 10 by 10 Entertainment the production company behind America's Next Top Model said he was unavailable to be interviewed for this story and did not respond to a further request for comments on Richardson's statements.) âI donât think they really cared about me going to anger management â Richardson told BuzzFeed News. âIt looked good for TVâ¦fake-ass Cinderella story.â Months later just before filming for Cycle 4 of Top Model began Richardson said she was contacted by a producer to come out to Tampa for an audition. While there she retook the psych test and âswitched the answers." "I put what they wanted to hear â she said.
Banks and the Jays were moved. â Tiffany grabbed her problems by the reins she got it together came back and I truly believed that girl wants to change her life â Mr. Jay said after her interview. But really Richardson just had them all fooled. âHonestly looking back I was full of shit â she said. âLike I was still the same person. ⦠[I was] playing the fucking role. ⦠I fed into the crap they was telling me and I ran with it.â With such an apparent change in demeanor Richardson was a shoo-in as a Top Model finalist because who doesnât love a good redemption story? And who loves one more than Tyra Banks? Banks had long established her brand as someone who was invested in bettering the lives of young women. In 1999 she founded a camp for girls that âconsisted of a self-esteem building program that addressed battling gender stereotypes elevating body and beauty love and creating a sisterhood of trust.â In 2008 she told the New York Times Magazine about the doors that had been slammed in her face and the adversity she 'd faced as a model before retiring in 2005. She 's always been focused on pulling herself up by the bootstraps â a person who would eventually yell at Richardson in that infamous April 2005 episode âYou don't know where the hell I come from. You have no idea what I've been through. But I'm not a victim. I grow from it and I learn.â Banks whose representative did not respond to multiple requests to set up an interview for or comment on this story often used her life as a rubric for other models to follow especially the ones she handpicked and groomed on America's Next Top Model â and Richardson was certainly an example of that.
According to Cycle 4 contestants the judging room was located in another area of the Top Model house where they would assemble for that week's critiques. One by one each model would walk down a runway-like plank to find out how she performed that week. Her photos would be displayed on a giant screen for everyone to see and her critiques would be said for everyone to hear. By the time everyone received their feedback the women had been standing for hours; sometimes they would need to take a break eat and then come back in for more critiques. âWeâd get picked apart for like 15 20 minutes each " Richardson recalled. "If you say something back youâre going to be up there for a minute â and sometimes theyâd be going at it like roasting the fuck out of us. Back to back to back.â After they received their feedback they'd then be sent out of the room to let the judges deliberate a process that took six to eight hours in its entirety. Eventually the contestants would stand before the judges again and Banks would call each "safe" woman by name until there were only two left standing one of whom would be eliminated. The schedule would leave the women physically and mentally exhausted on top of being largely separated from the world outside of Top Model. âItâs not quite like Big Brother where they strip them of everything â said Cocks. The contestants werenât âgetting a lot of pop culture but they were aware of stuff â she explained because theyâd walk around LA during challenges and shoots. Richardson struggled to settle into her new reality. âI was there but I wasnât there. It was so different for me â she said. âI donât know anything about designer clothes and it was kinda like I had to try to fit in and figure it out. Even with makeup I felt really out of place.â âWe were all out of our comfort zone â said Cycle 4 contestant Brittany Brower. But Richardson she noted "even more so." "I remember we went and had sushi one night and she âd never had sushi. She thought it was like crazy ⦠so she was just feeling really alienated.â
On top of feeling like an outsider Richardson was getting feedback about her photos looking "a little stripper-ish " according to guest judge Mathu Andersen who was the contestantsâ makeup artist. And in the episode in which Richardson was famously sent home she struggled through a challenge where the contestants were tasked with memorizing a short script and performing it using a cockney English accent. It was yet another blow to Richardson's confidence when the women were instructed to read designer names from a teleprompter for a mini red carpet challenge during judging. Many of the models had trouble with names like Hermès and Christian Lacroix but Richardson gave up after fumbling over words. âI canât do this â she said. â Tiffany the other girls did not know these words â Banks said softly with the other judges backing her up. âIf you donât do this youâre going to go home.â " Tiffany was humiliated by a lot of the stuff that was going on in the show " Cycle 4 contestant Keenyah Hill told BuzzFeed News. "She felt alienated and she felt targeted a lot." With the pressure of the competition getting to her Richardson was at a crossroads: Continue to bear the blows â critiques from judges draining challenges and photo shoots etc. â or simply give up and go home. âEvery time I did something wrong Iâd shut down a little bit more and it just got to the point where I was over it. I felt like we were just there to be humiliated " Richardson said. "It was like 'What the fuck [else] could we do to them?'â Richardson said her issue wasnât exactly with the harshness of the critiques it was more that she felt they weren't at all constructive. âI donât really care if you go in hard on me â go in on me but help me â she said. âGoing in we thought we were going to get modeling help.â Richardson said she thought the judges wouldâve been more âsincereâ in developing the women into models but instead she felt like the contestants were only ridiculed from week to week.
After weeks of judging challenges and photo shoots Richardson had particularly struggled throughout that ill-fated week and she was hardly confident going into the elimination. âI didnât think it was gonna be me because I was up against Rebecca cute little white girl â Richardson said. But she also didn't think it'd be a double elimination or that Banks would disclose deeply personal information about Richardsonâs less-than-perfect life back home in Florida. "Youâve been through anger management " Banks screamed once things escalated. "Youâve been through your grandmother getting her lights turned off to buy you a swimsuit for this competition." But that was only what viewers saw. According to Richardson the argument was â1 000 times worse" in reality. She was hesitant to elaborate but when pressed for more details Richardson said she recalled Banks yelling at her âYou can go back to your house and sleep on your mattress on the floor with your baby â in front of the other judges contestants and crew members. Richardson wouldnât reveal further information about what may have been edited out of Banksâs tirade but that particular comment she said âstayed in the back of my mind." Cocks said that though she wasnât there during the elimination she was heavily involved in the editing process and she couldnât remember Banks saying that in any of the transcripts. She did however confirm that the tirade was trimmed mainly due to time constraints.
As Richardson left the judging room to pack up her things she remembers yelling âfuck Tyraâ and âfuck Top Model.â In the episode the cameras continued to roll as Richardson and Epley packed their bags. During a quick exit interview in which she wore the same long black slip dress she wore during the elimination Richardson said âIâm not finna break down for you or nobody else. You ainât did shit for me but bring me here and put me through hell these weeks.â Epley didnât remember the âentire wrath of Tyra â but she said it seemed like Banks âwent above and beyond to break Tiffany down.â Brower agreed saying more bluntly "It was definitely harsh ⦠almost like Tyra wanted her to be devastated when she got eliminated and when Tiffany was not acting that way itâs like she just lost it. ⦠There was a lot more anger there especially in the beginning.â Hill said she remembered that "financially [Richardson] and her family they werenât doing really well at the time." She added that Richardson had a "lackadaisical" attitude. "She made it seem like she was unbothered unaffected did not care " according to Hill. "And Tiffany âs my girl but in that moment I could definitely see where Tyra was coming from. She had some truth to what she was saying but [Banks] probably did go in.â While it may have been a case of extreme tough love thatâs not how Richardson felt about it. âWhy are you yelling at me because Iâm grown as fuck â Richardson recalled thinking as Banks got heated. âIt was just like bullshit. It was so over-the-top for no reason.â In Richardson's view Banks âneeded them ratings to go up or something." The producer and three judges (Marin Barker and Dickinson) who spoke to BuzzFeed News all noted that the blowup was a deviation from how Banks normally interacted with the contestants but some said it came from a place of Banks wanting Richardson to succeed. Barker called the moment âshell-shocking â but said there was ânever anything vitriolic about it ever.â âIt was much more maternal than anything else â he said. After Richardson and Epley packed their bags they were sent to a hotel room where they stayed for the next few days. During production on Top Model contestants didnât actually go straight home. They were essentially sequestered for almost 24 hours a day in hotel rooms only able to leave to get food. Cocks told BuzzFeed News the goal was to prevent the public from finding out which contestant was eliminated and when. These contestants were referred to as âbogies â a play on the word âbogus.â Producers also didn't want eliminated contestants â at least in the early days of the show â to know who was eliminated after them. Cocks told BuzzFeed News that producers did another exit interview with Richardson as a way of âbuttoning upâ her storyline. According to Cocks's recollection of the decision Banks "basically drove that train.â The concern was that the story was essentially âunfinishedâ without showing that Banks and Richardson had made amends.
So Banks along with her mother Carolyn London visited Richardson while she was in her hotel room which Epley confirmed though she wasnât present for the conversation. Richardson said that the contestants had met London earlier in the competition and that she loved how âwarm her spirit wasâ because it reminded Richardson of her grandmother. In hindsight Richardson saw London's presence in her hotel room as a way for Banks and the producers to make her feel more comfortable for the closing interview they had planned. According to Richardson Banks recognized that they had a âmoment â said she saw a lot of herself in Richardson and said she would continue to act as her mentor. âYou would think that if you cared that much you wouldâve been there more " Richardson said. "I didnât think she cared. I donât think she gave a fuck about none of us except for the ones who made it big. But hey it is what it is.â Richardson said the second exit interview was conducted just a few minutes after Banks and her mother left her hotel room. Richardson sported a bright pink tube top dangling earrings and a black baseball cap that covered her hair making it obvious that the interview wasnât from the same night as the elimination where Richardson wore the black getup. She seemed happier and more hopeful in that footage because sheâd been âjuiced up â as she said in a sense by Banks. "Part of me did give up. I was being very disrespectful " Richardson's voice is heard saying in the episode as she's shown in that black elimination night dress packing up her suitcase. Then the camera cuts to Richardson in her pink tube top saying "Tyra really did care about me her yelling at me. I have the utmost respect for her 'cause she could've easily said 'OK whatever.' And you know 'Bye.' That showed me that she saw deeply into me and she cared about me. "And that's cool knowing that you know Tyra cares about you " Richardson said with a smile across her face as the camera faded to her in that black dress again rolling her suitcase out of the Top Model house.
In 2012 Banks dramatically acted out a portion of the well-known scene during Cycle 19 and in 2015 she referenced the classic moment while live-tweeting Cycle 22 of the show. The now-retired supermodel also went the Kardashian route in January 2017 opting to capitalize on the constantly quoted moment by turning it â as well as a few of her other catchphrases â into an emoji as part of her TyTyMoji collection. But other than that Banks hasnât said much on the subject. After watching the episode â and with a decade having passed â Richardson said she understands that it made for good TV. âIt was deep it was passionateâ¦the musicâs going Tyraâs beautiful self yelling [at the] poor little black girl " she said. "It was beautiful for TV. They love to see black girls struggling and somebody coming to save her ⦠and that just didnât work out that way this time.â Richardson said one of her last interactions with Banks was when Hill came down to Miami in the months after filming had wrapped on Cycle 4 and Banks just happened to call as the former contestants stayed in a hotel for a weekend planning to scout agencies. She said Banks offered them advice on how to dress while they were looking for a potential agency which Richardson said she appreciated. In September 2005 Banks invited Richardson onto The Tyra Banks Show for a Top Model reunion special but it was during a second visit to Banksâs talk show in January 2006 for a tell-all episode when Richardson felt like their relationship was over. (Telepictures was unable to provide BuzzFeed News with a review copy of the Tyra Banks Show episode in question.) In the interview Richardson said she opened up about her issues with Banks saying Banks always focused on the negatives in her life. After the taping Richardsonâs grandmother wrote a letter to Banks calling the talk show host out for always portraying Richardson in a bad light and sent it to The Tyra Banks Show. Richardson couldnât confirm if Banks herself ever received the letter but she said she never heard from her again.
Richardsonâs son Chaddrick whom she frequently talked about on Top Model is now 14 years old. She has also since had a daughter named Chaz whoâs 9. She works a normal 9-to-5 job at a group home in Miami assisting people with mental disabilities. âItâs pretty cool though Iâm not complaining about it â she said. But she said multiple times sheâs âfamous-broke " in that her notoriety reaps no financial benefits. âEvery fucking day somebody is coming up to me about this show and how I couldâve won and Tyra said this and itâs like really? Itâs been 10 years. Could yâall not?â she said. While the in-person interactions have worn on her the persistence of the moment online doesn't get to Richardson. âOh I donât give a fuck people are gonna laugh anyway â she said. âPeople ainât shit. Humans are not shit okay? Theyâre gonna laugh it doesnât matter. It doesnât bother me.â Today Richardson does occasionally find time to work with a local photographer but modeling isn't something she's prioritizing. âIâve been doing a couple of different photo shoots and itâs like a learning process too â she said happily noting she has gone to some networking events. âAnd then Iâm just getting my body fit ⦠but I work I live in the real world.â Although sheâs kept her tough-as-nails personality she doesnât look back on the show with ill feelings. "I still didnât take advantage of the situation like I shouldâve but you know you live and you learn " she said. "I canât regret that because it made me who I am right now. And I needed all of that.â â
Solution: | yes | 6 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
0.5296143293380737,
-0.04732963442802429,
0.31624236702919006,
0.2523912191390991,
0.7542887330055237,
-0.9556751251220703,
0.8982053995132446,
0.6474046111106873,
-0.1389349102973938,
0.47573143243789673,
-0.28050297498703003,
0.6874943971633911,
0.10345558077096939,
-0.06296952813863754,... |
Detailed Instructions: You are given a list of queries separated by new line. Your job is to answer with the query that is the most well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
See one example below:
Problem: What is the product of transcripition durring gene expression ?
The four main parts of the brain ?
What degrees do you need to become a judge ?
How dieting affects your peformance in sport ?
Solution: What degrees do you need to become a judge ?
Explanation: The output is from the list of given queries and it is formed with no grammatical or spelling errors when compared to other queries
Problem: What is htc on mobile phone ?
Width of olympic gymnastic beam ?
What did the antarctica treaty achieve ?
What is its natural phase at room tmp of chlorine ?
Solution: | What did the antarctica treaty achieve ? | 4 | NIv2 | task675_google_wellformed_query_sentence_generation | fs_opt | [
-0.24379147589206696,
0.24739165604114532,
-0.5686318278312683,
-0.6773815155029297,
0.046409159898757935,
-0.3957279920578003,
0.04826444387435913,
-0.49169135093688965,
0.20169080793857574,
-0.2907591164112091,
-0.7117071747779846,
-0.320990651845932,
-0.1115291640162468,
0.3434942662715... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Bem, para resumir, Resume-se tudo a uma coisa: Não negoceiem com terroristas.
Output: | Bueno, para resumir, se reduce a una cosa: no negocien con terroristas. | 1 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.12691619992256165,
0.7515261769294739,
-0.33930253982543945,
-0.08034036308526993,
-0.5902002453804016,
-0.5595698356628418,
-0.4357149600982666,
1.3455665111541748,
-0.10265450179576874,
0.3917185962200165,
-0.3639789819717407,
-0.05059141665697098,
-0.48877081274986267,
-0.30536130070... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Example: 処方箋を支払う為の保険は ？
Output: Terán seguro para pagar a receita?
The Japanese sentence is correctly translated into Galician, because the meaning is preserved.
New input case for you: さてもう一種類別のミラーニューロンがありますそれは全く別のものに関わっています
Output: | Pero hai outra clase de neuronas espello que actúa en algo moi diferente. | 1 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.627551794052124,
0.2845914959907532,
0.04643258452415466,
-0.6276654005050659,
0.22585570812225342,
-0.7314645051956177,
0.19567656517028809,
0.9615834951400757,
0.39209866523742676,
-0.16927307844161987,
-0.17410147190093994,
0.4020998477935791,
-0.6663602590560913,
0.34922829270362854... |
Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of this corpus is 'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes, 'ADP': Adposition is a cover term for prepositions and postpositions, 'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner, 'AUX': An auxiliary is a function word that accompanies the lexical verb of a verb phrase and expresses grammatical distinctions not carried by the lexical verb, such as person, number, tense, mood, aspect, voice or evidentiality, 'CCONJ': A coordinating conjunction is a word that links words or larger constituents without syntactically subordinating one to the other and expresses a semantic relationship between them, 'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context, 'INTJ': An interjection is a word that is used most often as an exclamation or part of an exclamation, 'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea, 'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction, 'PART': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech, 'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context, 'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object, 'PUNCT': Punctuation marks are non-alphabetical characters and character groups used in many languages to delimit linguistic units in printed text, 'SCONJ': A subordinating conjunction is a conjunction that links constructions by making one of them a constituent of the other. The subordinating conjunction typically marks the incorporated constituent which has the status of a (subordinate) clause, 'SYM': A symbol is a word-like entity that differs from ordinary words by form, function or both, 'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause, 'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Input: Sentence: I have no doubt {{ that }} the rescue is wonderful .
Word: that
Output: | SCONJ | 3 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.838228702545166,
0.33993732929229736,
0.07470912486314774,
0.20315131545066833,
-0.03914256393909454,
-0.8112213015556335,
0.8297518491744995,
0.8294780254364014,
-0.31729525327682495,
-0.20804718136787415,
-0.5085818767547607,
0.06347434967756271,
-0.6442647576332092,
0.4388232827186584... |
A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: আঠেরো হাজারের বেশি প্রতিরক্ষা বাহিনীর সদস্য রাষ্ট্রসঙ্ঘের শান্তিরক্ষা প্রচেষ্টায় নিজেদের অবদান রেখেছে।
A: श्रीमान तेजस गायकवाड यांनीही नरेंद्र मोदी अॅपवर विचारलं आहे की, आमच्याकडची मिठाई सुरक्षा दलापर्यंत पोचवण्याची व्यवस्था होऊ शकते का?
****
Q: ২০০০ সালের ২৪শে অক্টোবর তিনি প্রথমবার গোয়ার মুখ্যমন্ত্রী হিসেবে দায়িত্ব নেন। মুখ্যমন্ত্রী পদে ২০০২-এর ২৭শে ফেব্রুয়ারি পর্যন্ত তিনি দায়িত্ব পালন করেন।
A: गोव्याचे मुख्यमंत्री मनोहर पर्रिकर यांच्या निधनाबद्दल पंतप्रधान नरेंद्र मोदी यांच्या अध्यक्षतेखाली झालेल्या केंद्रीय मंत्रिमंडळाच्या बैठकीत शोक व्यक्त करण्यात आला.
****
Q: দেশে সড়ক নির্মান, রেললাইন সম্প্রসারণ, রেললাইন বৈদ্যুতিকিকরণ, নতুন নতুন বিমানবন্দর গড়ে তোলা, দরিদ্র গৃহহীনদের জন্য সরকার দ্বারা ঘর বানিয়ে দেওয়ার গতি, ব্যাঙ্কে অ্যাকাউন্ট খোলা কিম্বা বাড়ি বাড়ি গিয়ে গ্যাস সংযোগ প্রদানের গতি কোথাও দ্বিগুণ, কোথাও তিনগুণ বৃদ্ধি পেয়েছে।
A: | आज देशामध्ये रस्ते बनवण्याचा वेग, लोहमार्ग टाकण्याचा वेग, लोहमार्गाचे विद्युतीकरण करण्याचा वेग, नवीन विमानतळे निर्माण करण्याचा वेग, सरकारच्यावतीने गरिबांसाठी घरकूल योजनेतून गृहप्रकल्प बांधण्याचा वेग, बँकांमध्ये खाते उघडण्याचा वेग, स्वयंपाकासाठी गॅस कनेक्शन देण्याचा वेग पाहिला तर लक्षात येते, ही सर्व कामे पहिल्यापेक्षा दुप्पट, तिप्पट तसेच त्यापेक्षाही जास्त वेगाने केली जात आहेत.
****
| 4 | NIv2 | task1061_pib_translation_bengali_marathi | fs_opt | [
-0.1700395941734314,
0.13760563731193542,
-0.1539808213710785,
-0.1334993839263916,
-0.28098538517951965,
-1.5246758460998535,
1.0503032207489014,
0.7743501663208008,
-0.6407890915870667,
0.2432917356491089,
-0.8903120756149292,
0.283112496137619,
-1.0904269218444824,
0.1745348572731018,
... |
Teacher:In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Teacher: Now, understand the problem? Solve this instance: Context: all cichlids in the lake are endemic to the Malawi system, which also includes nearby smaller Lake Malombe Link Information: The lake is extremely shallow with an average depth of approximately eight feet, and during periods of dry weather the water level recedes and can even disappear. Question: How deep is the smaller lake that is part of the Malawi system?
Student: | Answer: eight feet | 6 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
-0.5622830390930176,
-0.36822032928466797,
-0.43838199973106384,
-0.5922710299491882,
0.04616791009902954,
-0.5675134658813477,
-0.10660984367132187,
0.2215815782546997,
-0.16980819404125214,
-0.21017056703567505,
-0.3249950408935547,
-0.6901251673698425,
-1.3944954872131348,
-0.1486689746... |
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 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.
It has manufacturing plants in San Diego ; Creedmoor , N.C. ; Hampshire , England ; and Tijuana , Mexico , and distributes its prodcuts in more than 120 countries .
Solution: It has manufacturing plants in San <B-LOC> Diego <I-LOC> ; Creedmoor <B-LOC> , N.C. <B-LOC> ; Hampshire <B-LOC> , England <B-LOC> ; and Tijuana <B-LOC> , Mexico <B-LOC> , and distributes its prodcuts in more than 120 countries .
Why? This is how the labeling should be. San Diego is the name of a location. In addition, it cannot be separated and is represented by two words. Therefore the labeling is San <B-LOC> Diego <I-LOC>. For the other locations mentioned in this sentence, they are single word locations and are represented with the label <B-LOC>.
New input: At Worcester : Warwickshire 310 ( A. Giles 83 , T. Munton 54 not
Solution: | At Worcester <B-LOC> : Warwickshire <B-ORG> 310 ( A. <B-PER> Giles <I-PER> 83 , T. <B-PER> Munton <I-PER> 54 not | 0 | NIv2 | task610_conllpp_ner | fs_opt | [
0.3599250614643097,
-0.1648007482290268,
0.19609695672988892,
0.6127904653549194,
0.3712102174758911,
-0.2488408386707306,
-0.2672736346721649,
0.9460378885269165,
-0.62317955493927,
0.16354431211948395,
-0.09807394444942474,
0.2812356948852539,
-0.0707857683300972,
0.5763274431228638,
0... |
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Example Input: This product is good. However, I feel the carbonation is a little more emphasised over the fruity flavor. Unless of course carbonation is really wanted. I didn't find the juice flavour as good as Juicy Juice. And the cost is ~50% more per ounce for Switch vs. Juicy Juice for my region. I would say that for everyone who is interested in this product... let your taste buds be your guide.
Example Output: 3
Example Input: I tested this one on my twin 10-month old babies and they liked it immediately. It was their first beef and their first spinach. I had already given them chicken and they really like it so they are not vegetarians yet anyway. Mostly I wanted this product for the spinach and the higher iron content. Somehow they made this particular flavor brand tasty for babies. I like getting these by the case rather than buying them a jar at a time at the store since 2 babies eat so much. It's good to keep several flavor brands around too I think, to give your baby a variety. I'm sure I'll get another case when this one is finished. Ingredients per the label: Water, Organic Carrots, Organic Finely Ground Beef, Organic Spinach, Organic Garbanzo Bean Flour, Organic Tomato Paste, Organic Whole Durum Wheat Flour. CONTAINS: WHEAT. This has 110 calories, 31% protein, 100% vitamin A, 8% vitamin C, 4% calcium and 4% iron. I've been informed that the percentage of daily needs met is based on an adult.
Example Output: 3
Example Input: Holy cow! I have never seen this much grease in a boxed product like this! Also, it has enough salt to kill an entire family of slugs! Use it in your garden, don't eat it!
Example Output: | 2
| 3 | NIv2 | task588_amazonfood_rating_classification | fs_opt | [
0.7277126312255859,
0.3596552610397339,
-0.48290741443634033,
0.21178247034549713,
0.16636770963668823,
-0.3869185447692871,
0.818595290184021,
0.872693657875061,
-0.013360592536628246,
0.028150320053100586,
0.021553946658968925,
0.19040043652057648,
-0.9252596497535706,
-0.008179045282304... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
عاش الجميع تلك التجربة أو على وشك أن يعيشوها.
Output: | 全員が軍隊経験者か入隊を控えた人たちなのです | 1 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
0.10263136029243469,
0.09848898649215698,
-0.31947216391563416,
-0.6816985011100769,
-0.2808241844177246,
0.2655046880245209,
1.22580087184906,
0.07073511183261871,
0.9490259885787964,
-0.42202264070510864,
-0.15395627915859222,
-0.16352812945842743,
-0.4329712986946106,
0.8117562532424927... |
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
--------
Question: ASTANA, Kazakhstan, Sept. 4 (UPI) -- The plains of central Kazakhstan are littered with dead antelope, 60,000 of them -- an entire herd wiped out in just four days. And no one is exactly sure how or why.
The herd's collapse was bookended by a series of less dramatic die-offs, stretching from May through June. All told, the country's population of saiga, an antelope species found in the Eurasian Steppe, was halved -- from 257,000, counted in 2014, to less than 125,000.
For months, scientists have been stumped, but new evidence suggests bacteria is to blame. Still, questions abound.
The bacteria of interest, Pasteurella and Clostridia, were found in tissue samples collected from many of the felled saiga. But the microbes are common in antelope intestines and thought to be harmless. Nonetheless, toxins produced by the normally humdrum bacteria appear to have caused internal bleeding.
What's different about these microbes? According to genetic analysis, nothing.
"There is nothing so special about it. The question is why it developed so rapidly and spread to all the animals," geoecologist Steffen Zuther, a researcher with the Altyn Dala Conservation Initiative, told Live Science.
At the moment, scientists can't explain what transformed the benign bacteria into a plague-like killer.
Previous research has shown that for some animals, wild swings in population numbers are normal -- and that species such as the Canadian snowshoe hare have evolved to withstand such dramatic fluctuations. It's possible the saiga is one of those species.
Still, conservations and ecologists are worried by the endangered antelope's decline. The species helps maintain the natural order in the grasslands of Eurasia, helping thin the grass and return the nutrients of mature plants back to soil. Cold winters slow down the natural decomposition of organic matter.
Saiga hunting is banned in Kazakhstan, but researchers say more needs to be done to protect the species. ||||| In May 2015, nearly half of all the saigas, a critically endangered antelope that roams the steppe of Kazakhstan, died off. Exactly why is still a mystery.
It started in late May.
When geoecologist Steffen Zuther and his colleagues arrived in central Kazakhstan to monitor the calving of one herd of saigas, a critically endangered, steppe-dwelling antelope, veterinarians in the area had already reported dead animals on the ground.
"But since there happened to be die-offs of limited extent during the last years, at first we were not really alarmed," Zuther, the international coordinator of the Altyn Dala Conservation Initiative, told Live Science.
But within four days, the entire herd — 60,000 saiga — had died. As veterinarians and conservationists tried to stem the die-off, they also got word of similar population crashes in other herds across Kazakhstan. By early June, the mass dying was over. [See Images of the Saiga Mass Die-Off]
Now, the researchers have found clues as to how more than half of the country's herd, counted at 257,000 as of 2014, died so rapidly. Bacteria clearly played a role in the saigas' demise. But exactly how these normally harmless microbes could take such a toll is still a mystery, Zuther said.
"The extent of this die-off, and the speed it had, by spreading throughout the whole calving herd and killing all the animals, this has not been observed for any other species," Zuther said. "It's really unheard of."
Crucial steppe players
Saigas play a critical role in the ecosystem of the arid grassland steppe, where the cold winters prevent fallen plant material from decomposing; the grazing of the dog-size, Gonzo-nosed antelopes helps to break down that organic matter, recycling nutrients in the ecosystem and preventing wildfires fueled by too much leaf litter on the ground. The animals also provide tasty meals for the predators of the steppe, Zuther said. [Images: Ancient Beasts of the Arctic]
"Where you find saiga, we recognize also that the other species are much more abundant," Zuther told Live Science.
Saigas, which are listed as critically endangered by the International Union for the Conservation of Nature, live in a few herds in Kazakhstan, one small herd in Russia and a herd in Mongolia. The herds congregate with other herds during the cold winters, as well as when they migrate to other parts of Kazakhstan, during the fall and spring. The herds split up to calve their young during the late spring and early summer. The die-off started during the calving period.
Die-offs of saigas, including one that felled 12,000 of the stately creatures last year, have occurred frequently in recent years. But the large expanse of the country affected by last year's die-off meant veterinarians couldn't get to the animals until long after their deaths. The delay hindered any determination of a cause of death, and researchers eventually speculated that an abundance of greenery caused digestion problems, which led to bacterial overgrowth in the animals' guts.
Detailed analysis
This time, field workers were already on the ground, so they were able to take detailed samples of the saigas' environment — the rocks the animals walked on and the soil they crossed — as well as the water the animals drank and the vegetation they ate in the months and weeks leading up to the die-off. The scientists also took samples of the ticks and other insects that feed on saiga, hoping to find some triggering cause.
The researchers additionally conducted high-quality necropsies of the animals, and even observed the behavior of some of the animals as they died. The females, which cluster together to calve their young, were hit the hardest. They died first, followed by their calves, which were still too young to eat any vegetation. That sequence suggested that whatever was killing off the animals was being transmitted through the mothers' milk, Zuther said.
Tissue samples revealed that toxins, produced by Pasteurella and possibly Clostridia bacteria, caused extensive bleeding in most of the animals' organs. But Pasteurella is found normally in the bodies of ruminants like the saigas, and it usually doesn't cause harm unless the animals have weakened immune systems.
Genetic analysis so far has only deepened the mystery, as the bacteria found were the garden-variety, disease-causing type.
"There is nothing so special about it. The question is why it developed so rapidly and spread to all the animals," Zuther said.
Mystery endures
A similar mass die-off of 400,000 saigas occurred in 1988, and veterinarians reported similar symptoms. But because that die-off occurred during Soviet times, researchers simply listed Pasteurellosis, the disease caused by Pasteurella, as the cause and performed no other investigation, Zuther added.
So far, the only possible environmental cause was that there was a cold, hard winter followed by a wet spring, with lots of lush vegetation and standing water on the ground that could enable bacteria to spread more easily, Zuther said. That by itself doesn't seem so unusual, though, he said.
Another possibility is that such flash crashes are inevitable responses to some natural variations in the environment, he said. Zuther said he and his colleagues plan to continue their search for a cause of the die-off.
Follow Tia Ghose on Twitterand Google+. Follow Live Science @livescience, Facebook & Google+. Original article on Live Science. ||||| Sergei Khomenko/FAO
Nearly half of the global population of the critically endangered saiga antelope (Saiga tatarica) is feared dead in a mass die-off. Authorities in Kazakhstan, where the animals live, began to notice a spike in deaths in mid-May and losses quickly mounted to more than 120,000 in total. Nature digs into what may be killing the animals.
What is a saiga?
The saiga is a nomadic antelope that lives in large herds, sometimes comprising thousands of individuals, on the steppe grasslands and semi-arid deserts of central Asia. The fossil record reveals that their prehistoric range stretched from the United Kingdom to Alaska1. But in the past few centuries, the animals have been reduced to four discrete populations: one in Kalmykia in the southwest corner of Russia and three in Kazakhstan. There is a population in Mongolia, but these animals are considered a separate subspecies (S. tatarica mongolica).
How significant are the latest losses?
Saigas are known to be prone to massive, as yet unexplained die-offs. These usually occur when the females come together to calve in the spring. In 1984, such an event in the Ural Mountains resulted in the loss of 100,000 animals — 67% of the local population. There were several smaller scale die-offs in the 2000s. But this year’s mass-death event among animals living in the Betpak-Dala region of Kazakhstan is much more significant as entire herds are dying.
“I have worked in veterinary diseases all my career and I have never seen 100% mortality,” says Richard Kock, a wildlife veterinarian at the Royal Veterinary College in Hatfield, UK, who flew out to Kazakhstan last month to assist with efforts to make sense of the devastation. “We had a herd of 60,000 aggregated and they all died. That is extraordinary.”
Do we know the cause of these die-offs?
Nobody collected detailed data for past events, so there was no way to address this question. But since the 2010 die-off, the Kazakh authorities — assisted by the United Nations' convention on migratory species and the wider international community — have been strengthening their capacity to collect, process and analyse samples from the field. “We managed to do full necropsies on 50 saiga,” says Kock, who returned from Kazakhstan on 28 May.
The cause is unlikely to have been an infectious agent that was transmitted from one animal to the next. “Epidemiologically, you cannot get a directly transmitted disease to kill a whole population in seven days,” says Kock. “I’d say it’s a polymicrobial disease,” he says. This involves pathogens such as pasteurella and clostridia that are often present in the body but have seized an opportunity to run riot.
The pathogens may have been responsible for the deaths, but something must have caused the saigas to fall victim to them. Given that two discrete sub-populations some 300 kilometres apart suffered similarly and simultaneously, it seems likely that an environmental factor is part of the story.
Why is this work important?
With a better understanding of the constellation of factors that probably lies behind such mass mortality, it might be possible to avoid such events in the future. “This time is the first time we are going to be able to get a good diagnosis,” says E. J. Milner-Gulland, a conservation biologist at Imperial College London and chair of the Saiga Conservation Alliance.
This is important because mortality on this scale can wipe out entire herds. In some ways, it is fortunate that the Betpak-Dala population was hit this time. “It’s the largest population and can probably stand it. All the other populations are at such a low level that they could be wiped out within a week,” says Milner-Gulland.
Why is the saiga in such trouble?
Towards the end of the nineteenth century, widespread hunting brought the species close to extinction. There was some recovery in the twentieth century, but the end of the Soviet era brought about a dramatic collapse. With rural poverty, a willing market for meat and horns in China and little law enforcement or management, people killed saigas in huge numbers. “Those three things together caused a 95% decline over a ten-year-period,” says Milner-Gulland.
Owing to this precipitous decline, the saiga is listed on the International Union for Conservation of Nature's Red List of Threatened Species in one of the highest categories: critically endangered.
At the latest count, announced in April 2014, the global population stood at 262,000, up more than 200,000 from the lowest point in the early 2000s. Much of that increase was driven by growth in the population that is now being devastated. |||||
Answer: An already critically endangered species has been driven even further to the brink after an insane population decline compounded by the fact that scientists are at a loss to explain it. Initially, scientists weren’t too perturbed to hear some saigas—a type of antelope that inhabits Kazakhstan, Russia, and Mongolia—were dying off during their calving period in May; some 12,000 died of apparent digestive issues last year after scientists speculated that there was too much greenery, reports Live Science. But suddenly, at least 120,000 animals, or half of Kazakhstan’s population, were dead by June, including a herd of 60,000 saigas felled in four days. "I have worked in veterinary diseases all my career and I have never seen 100% mortality," an expert tells Nature. "That is extraordinary." Another adds the "extent" and "speed" of the die-off "has not been observed for any other species...It's really unheard of." Researchers quickly moved to identify the threat, following what little clues they had: Necropsies and observations showed mothers died first, followed by their calves. But a most mysterious find came next: Scientists found toxins from the usually-harmless Pasteurella and possibly Clostridia bacteria often found in the animals’ bodies were causing extensive bleeding in their organs, per UPI. What had changed in the bacteria to make it suddenly deadly? Apparently, nothing. "There is nothing so special about it. The question is why it developed so rapidly and spread to all the animals," a researcher says. Experts are continuing to investigate but say the die-off may be another "flash crash" like the 1988 die-off of 400,000 saigas; bacteria may have spread more easily this year via standing water after a wet spring; or the Pasteurella and Clostridia bacteria may have suddenly sprung into unexpected action. (Alaska's whales aren't faring well, either.)
Question: In December, the George Zimmerman Defense fund will be moving into the hands of a new fund manager.
The original fund was formed by George Zimmerman himself -- before his arrest, in the initial days of the media frenzy started by Ben Crump, Natalie Jackson, Al Sharpton, Jesse Jackson and the PR firm hired to fan the flames, Julison Communications (the story of this PR blitz is profiled on the ParksCrump.com website). While most media outlets perpetuated the narrative repeated constantly by Ben Crump who said that what George Zimmerman did was to ". . profile, pursue, and confront Trayvon Martin, and then kill Trayvon Martin in cold blood, even though he was unarmed; (see video of Crump on Piers Morgan Tonight)" there was notable exception, Sean Hannity, who questioned the narrative pushed by Parks and Crump -- see Hannity questioning Parks on his show, asking if there has been a rush to judgement -- and Mr. Hannity urged his viewers not to jump to conclusions about George Zimmerman. As a result, thousands donated to George via TheRealGeorgeZimmerman.com website.
The New George Zimmerman Defense Fund, at George's request, will begin sending Thank You Cards to people who have contributed to the Defense Fund. Each card will be personaly signed by George. The identity of all donors will continue to be kept strictly confidential, and the envelope of the Thank You Cards will not have any reference to Mr. Zimmerman or the O'Mara Law Group.
TheRealGeorgeZimmerman.com website was shut down by George at the request of his lawyer, Mark O'Mara, who became aware of the funds shortly after the April 20th Bond Hearing. After learning of the funds, Mr. O'Mara notified the court, and most of the funds were transferred to a trust account, and then shortly thereafter, to the independently managed George Zimmerman Defense Fund. Mr. Zimmerman paid the price for the perceived lack of candor to the Court during his April 20th Bond Hearing regarding the amount of money he had raised -- a price that included spending more than 30 days in jail (where he was housed in solitary confinement), a $1,000,000 bond, and charge of perjury levied against his wife. While the fund has been independently managed, very little has been done to solicit donations. Nonetheless, since its establishment on May 3, 2012, the George Zimmerman Defense Fund has raised just over $140,000.
Currently, the balance of the George Zimmerman Defense Fund is at its lowest, and new funds must be raised to support George's living expenses and legal costs through the end of the Self Defense Immunity Hearing and/or trial. Although neither Mr. O'Mara nor Mr. West have received any payment to date for their services, there has been a persistent concern amongst some Zimmerman supporters that donations meant to support George could be used instead for attorneys fees. This simply is not the case, and it has never been the case, but to underscore the point, management of the fund will be transferred to a new fund manager of Mr. Zimmerman's choosing. Priority for the funds will be as it has always been, in this order: to pay for George's living expenses, to pay for costs associated with the defense, and then -- only if funds remain -- to pay appropriate legal fees. That has always been the priority plan, and we reassert it now.
Once the fund is under new management, there will be more affirmative fund-raising efforts. These efforts will include an updated GZDefenseFund.com website, a disclosure of how funds have been spent, and regular updates regarding how future funds will be allocated. George will make a statement to his supporters, and he would like to send a NOTE OF THANKS to all donors who do not object to receiving one -- we are, of course, maintaining the confidentiality of donors.
The New George Zimmerman Defense Fund will be operated with the strong premise that George Zimmerman is innocent of the charges against him, and that his actions were justifiable self-defense with the purpose of preventing further great bodily harm or even death at the hands of an attacker who had already caused him great bodily injury. The New George Zimmerman Defense Fund will also be operated with the well-documented assertion that George Zimmerman was the victim of a coordinated public relations attack designed to assert that George acted with racial bias, a public relations attack that was perpetrated with the intent to prejudice the media and the citizens of this country with unfounded misinformation about George, and with the purpose of profiting from a tragedy. ||||| Murder suspect George Zimmerman today announced plans to ramp up fund-raising, writing on a website that if you act now, he'll send you a thank you card "personally signed by George."
The fund so far has raised an estimated $340,000, but Zimmerman announced today it's nearly exhausted.
Zimmerman is the 29-year-old former Neighborhood Watch volunteer free on $1 million bail while he awaits trial on a second-degree murder charge.
He killed Trayvon Martin, an unarmed black 17-year-old, in Sanford Feb. 26 after he spotted the teenager, described him to police as suspicious then got into a fight with the high school junior and shot him once in the chest.
He says he acted in self-defense.
Zimmerman began raising funds via the Internet a few weeks after the shooting and for a time was netting $1,000 a day, but fund-raising has since fallen off sharply.
Several weeks ago, defense attorney Mark O'Mara said defense costs were outstripping income and he might be forced to have Zimmerman declared indigent.
Zimmerman is living in hiding in Seminole County and does not have a job.
Today, a new post appeared on the legal defense fund's website. It says the fund needs more money, so in December, it's being transferred to a new fund manager – one Zimmerman will choose - and he'll make "more affirmative fund-raising efforts."
He promised a new statement to supporters plus thank you notes to contributors. A photo on the webpage shows an understated note card with the words "George Zimmerman" on the front and inside, "Thank you for your support."
It is signed, "Your Friend, George."
"We are, of course, maintaining the confidentiality of donors," the website says.
The money will go to pay Zimmerman's living expenses first, then for costs associated with the case and lastly to defense lawyers O'Mara and co-counsel Don West, who have not been paid, the site says.
The announcement reflects a shift in control of the fund. O'Mara ordered Zimmerman to surrender all defense funds to him in April then placed them in the hands of an independent manager. They now will be managed by someone picked by Zimmerman, according to the statement.
Exact fund-raising totals are hard to come by, but it appears donors have contributed about $340,000.
According to a letter O'Mara wrote to Circuit Judge Kenneth Lester Jr. on May 18, Zimmerman had netted just under $200,000 when O'Mara had Zimmerman surrender control on April 27.
Today's announcement says that since May 3, it has raised an additional $140,000.
rstutzman@tribune.com or 407-650-76394. jeweiner@tribune.com or 407-420-5171. |||||
Answer: George Zimmerman has raked in an estimated $340,000 in donations since Trayvon Martin's death, but the money is running low—so he's trying a new tactic. Now, if you donate at his website, you'll be treated to a card "personally signed by George." The second-degree murder suspect, currently out on bail, is no longer raising the $1,000 a day he once was, the Orlando Sentinel reports. Court costs are now outweighing Zimmerman's income, says his lawyer, adding that he may need to have Zimmerman declared indigent. The website announced today that the fund will get a new manager next month. "We are, of course, maintaining the confidentiality of donors," it says. Those who put a little something in the kitty for the jobless-and-in-hiding Zimmerman will be helping to cover living expenses, court costs, and pay his lawyers, in that order, according to the site.
Question: UPDATE: COOLUM teen Essena O'Neill has disappeared entirely from Instagram and YouTube after her unveiling of some ugly facts about social media led to an ugly spat with some mates in the US.
Ms O'Neill made headlines around the world this week after the Daily reported her comments claiming the "perfect" life shown on her instagram account was all fake.
Fellow bloggers and friends NinaAndRanda hit back at Ms O'Neill's comments, taking apart comments she made on a video posted to Vimeo about how she had been at the "pinnacle of success" in Los Angeles when she had actually been staying with them.
The friends claimed Ms O'Neill's "misery" in Los Angeles was more to do with a break-up with her boyfriend than social media being fake.
Ms O'Neill today hit back in turn, accusing the girls of twisting her words.
"... why do you feel okay talking about my personal life to the world," she said in a video. "This is about so much more than me. Please this isn't right, you've twisted my words."
She has now closed down her YouTube and instagram accounts, although her Vimeo account remains active. Her rebranded Tumblr account, Let's be Game Changers, is active but without content.
INITIAL REPORT: THIS Sunshine Coast teenager wants you to know the ugly truth behind every single one of her 'perfect' instagram photos.
Meet Essena O'Neill: the 18-year-old powerhouse from Coolum who has half a million followers on Instagram, 200,000 subscribers on her YouTube and Tumblr accounts and 60,000 people viewing her Snapchat every day.
LATEST: Insta-famous Esssena breaks down as story goes viral
She's not a singer or an actor and has never appeared on reality television.
Essena is part of the new age of 'Social Media Celebrity' and she's decided she's had enough and has quit social media for good.
"I haven't done anything for this success except put pictures of myself online," Essena told her followers in one of her last videos to YouTube before signing off forever.
Over the past week, Essena has deleted almost 2000 photos from her Instagram account as well as changed her account name to "Social Media Is Not Real Life".
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"I have created a celebrity mentality or a celebrity concept of myself online and I wish for that to stop right now.
"I have created an image of myself that I think others feel is unattainable, others look at as a role model, others look at as some type of 'perfect human'.
"I get people saying every day on my Tumblr or on Instagram… 'I wish I was you'.
"Lately I've realised how horrible that is. For someone to follow my content and think I wish I was you, that is the opposite of what I want to promote."
The photos remaining on her account have had their captions reworked to reveal "the truth behind the photo".
She's even rocked the boat with certain clothing and tea brands she was paid to promote.
" I am definitely not a role model, I am definitely so so far from perfect. I make more mistakes than anyone I know."
Essena is now working on a new website called letsbegamechangers.com ||||| Instagram/Essena O'Neill Famous teenage Instagrammer Essena O'Neill has decided to rebel against social media.
The Instagram star — who will turn 19 this week — created the website Let's Be Game Changers to explain her decision and to shed light on the fantasy world of social media.
"And yes, I quit all of social media. With 570,00+ followers on Instagram, 250,000+ subscribes on YouTube, 250,000+ on tumblr and 60,000+ average views on snapchat. Tumblr and Snapchat gone forever. My instagram left to expose the harsh and often humorous reality behind the #goals #instafamous culture and YouTube for purely vegan education. Deleting all those apps from my phone was one of the most empowering and freeing thing I have ever done," she explains on her website.
She criticizes the brands who paid for her to model, saying "we are a generation told to consume and consume, with no thought of where it all comes from and where it all goes"
She still has photos on her Instagram page, but according to The Sunshine Coast Daily, the Australian social media star has been deleting her photos over the past week. She has edited the captions of her remaining photo and debunked the myth that many of her photos were "real" - many, in fact, were paid for by various companies.
In fact, her Instagram bio proudly boasts her new credo — "social media is not real life."
She's also spreading her thoughts on social media with videos on her website.
Her first video on the website was called "Why I Think Social Media Sucks."
Underneath the video, she explains her feelings towards social media.
"I can't tell you how free I feel without social media. Never again will I let a number define me. IT SUFFOCATED ME. Not because I had 500,000 followers, I felt the same as a young girl, I would just spend hours looking at everyone else's perfect lives and I strived to make mine look just as good... Guess I succeeded. It's totally stupid. Everyone's doing it. And I know you didn't come into this world just wanting to fit in and get by. You are reading this now because you are a game changer, you might not know your power yet, I am just finding mine, but man... when you do... far out you'll go crazy. It'll be brilliant. You'll be brilliant," she writes, challenging her followers to go one week without social media.
She has also posted a video on YouTube called "Why I REALLY Am Quitting Social Media."
It marks her final video on YouTube.
"I don't want to support a social sharing sight that makes views and subscribers the point of focus. I spent hours watching perfect girls online, wishing I was them. Then when I was 'one of them' I still wasn't happy, content or at peace with myself. Stripping away distractions made me question everything I did online. I want you to do the same," she wrote. ||||| Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain. ||||| So here's what's up. I want everything here to be of high quality, from my heart and 100% free. No priced subscription or membership, no fixed fees on upcoming projects and especially no sly or perfectly posed product placements. I want to be able to share what I love, with anyone and everyone. If you find value from what's happening here, give back if you want.
Funding goes towards:
-Building a bigger and better platform for the site
-A hub to support other game changers' visions and help spread their ideas for this new earth. This includes content in collaboration with other groovy beings.
-Content produced from my own creative expression. Basically my writing, videos and future projects.
-Interviews with some pretty cool people. People that really want to change up this place. We're talking anyone doing something different - to do with health, environmental awareness, animal cruelty, gender equality, social pressures and expectations and of course spirituality - in other words stuff that's revolutionary. Yep, it's all happening. |||||
Answer: | Essena O'Neill became obsessed with social media in high school. By age 16, she had 50,000 followers, and got her first offer to monetize her social media accounts: A bikini company sent her free bikinis if she'd post photos of herself wearing them; soon, the Australian teen was charging companies to post photos of herself wearing their clothes or using their products. She ultimately built up more than 570,000 Instagram followers, 250,000 YouTube subscribers, 250,000 Tumblr subscribers, and got more than 60,000 views on her Snapchat posts on average. Yet O'Neill, who turned 19 Tuesday, has quit it all, as she explains on her new website, Let's Be Game Changers. She posted a nearly 13-minute explanation of her choice here, and writes, "Never again will I let a number define me. IT SUFFOCATED ME." She deleted her Tumblr and Snapchat accounts, Business Insider reports, and she left Instagram up for a week, with the Sunshine Coast Daily reporting that she deleted some 2,000 photos and replaced the original captions of others with more honest ones, like this: "Was paid $400 to post a dress. ... Nothing is wrong with accepting brand deals. I just think it should be known. This photo had no substance, it was not of ethical manufacturing (I was uneducated at the time). SOCIAL MEDIA IS NOT REAL is my point." (Her Instagram and YouTube are now kaput, too.) What she'd really like to see (as evidenced by the capital letters): "PLEASE CAN SOMEONE MAKE A SOCIAL SHARING PLATFORM NOT BASED ON VALIDATION IN VIEWS/FOLLOWERS/LIKES BUT SHARED FOR REAL VALUE AND LOVE. THANK YOU. PLEASE HURRY UP." As for how she will make money without paid posts, well, her site is "100% free" but you can give her money anyway.
| 7 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.8476306200027466,
0.013121470808982849,
-0.5178807973861694,
0.032848916947841644,
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0.3644557595252991,
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0.521865963935852,
... |
Teacher:In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Teacher: Now, understand the problem? Solve this instance: Comment: Adam Vaughan is undoubtedly a jerk but if Alice Wong is incapable of standing up for herself how can she stand up for her constituents? Has she never been to the parliament? It's 338 jerks yelling at each other. If she hasn't got the fortitude to tell Adam to shut up and sit down then she should probably retire.
Student: | Non-sexual-explicit | 6 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-0.9232062101364136,
0.17319366335868835,
0.5427780151367188,
-0.0018128720112144947,
-0.20442742109298706,
-0.32839956879615784,
0.4667293429374695,
0.27264249324798584,
0.1762567013502121,
0.34729552268981934,
0.9329857230186462,
0.06728697568178177,
0.12895725667476654,
-1.0284576416015... |
Teacher: You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Teacher: Now, understand the problem? If you are still confused, see the following example:
System Reference: there is a chinese restaurant on x called x.
Original Reference: x is a chinese restaurant in x.
Solution: 1
Reason: The system reference is grammatically correct and fluent.
Now, solve this instance: System Reference: what type of food would you like to eat?
Original Reference: what kind of meal would you like?.
Student: | 0 | 2 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.6273812651634216,
0.46853959560394287,
-0.42384040355682373,
-0.03148519620299339,
-0.16304966807365417,
-0.014531063847243786,
0.821355938911438,
0.5335004329681396,
-0.24362754821777344,
-0.13725589215755463,
-0.03821410983800888,
-0.755279004573822,
-0.21496234834194183,
-0.206684648... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Sentence 1: The brown dog is out in the snow. Sentence 2: It is warm outside.
C
Sentence 1: A man in a red shirt is holding a little boy in a blue shirt Sentence 2: A woman in red shirt is holding a little girl
C
Sentence 1: A child holds another child while on the ground. Sentence 2: The two kids are standing side to side.
| C
| 0 | NIv2 | task190_snli_classification | fs_opt | [
-0.37888404726982117,
0.422069787979126,
-0.17713284492492676,
-0.14947865903377533,
-0.04186369478702545,
-0.7338149547576904,
0.12218480557203293,
0.8683689832687378,
0.3839271068572998,
-0.09226575493812561,
-0.6238035559654236,
-0.3084641098976135,
-0.13528484106063843,
-0.090753056108... |
Detailed Instructions: In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Q: Where is the best place to get a deal on a laptop?
A: | Where is the best place to get deals on TVs? | 9 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
0.4998868703842163,
0.5473389029502869,
-0.6129121780395508,
-0.07366913557052612,
-0.38532599806785583,
0.4835889935493469,
0.12844514846801758,
-0.11695563793182373,
0.38793277740478516,
-0.21694666147232056,
0.5210391283035278,
0.9016234874725342,
-0.7340346574783325,
0.8645243644714355... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader.
Phone rang. Amelia entered the study. Elizabeth entered the study. The cabbage is in the red_envelope. Amelia moved the cabbage to the blue_treasure_chest. Elizabeth entered the playroom. Phone rang. Amelia entered the playroom. The celery is in the red_crate. Elizabeth moved the celery to the green_envelope. Elizabeth entered the master_bedroom. Phone rang. Amelia entered the master_bedroom. The banana is in the blue_envelope. Elizabeth moved the banana to the red_bucket. Elizabeth entered the garage. Amelia entered the garage. The broccoli is in the green_drawer. Elizabeth moved the broccoli to the green_bottle. Where was the broccoli at the beginning?
green_drawer
James entered the hall. Sophia entered the hall. The strawberry is in the blue_treasure_chest. Sophia exited the hall. James moved the strawberry to the green_treasure_chest. Charlotte entered the hall. James is in the hall. The cabbage is in the green_treasure_chest. James exited the hall. Charlotte moved the cabbage to the blue_treasure_chest. Phone rang. Sophia entered the playroom. Phone rang. Ella entered the playroom. The pineapple is in the red_crate. Ella exited the playroom. Sophia moved the pineapple to the red_box. James entered the staircase. Sophia entered the staircase. The tomato is in the red_treasure_chest. Sophia exited the staircase. James moved the tomato to the green_crate. Where will Sophia look for the tomato?
red_treasure_chest
Jack entered the crawlspace. Evelyn entered the crawlspace. The persimmon is in the green_box. Evelyn exited the crawlspace. Phone rang. Jack moved the persimmon to the green_suitcase. Jack exited the crawlspace. Evelyn entered the crawlspace. Jack entered the hall. Jacob entered the hall. The broccoli is in the red_drawer. Jacob exited the hall. Jack moved the broccoli to the red_pantry. Phone rang. Jack exited the hall. Jacob entered the hall. Jacob entered the kitchen. Evelyn entered the kitchen. The celery is in the red_bucket. Evelyn exited the kitchen. Jacob moved the celery to the blue_pantry. Jacob exited the kitchen. Evelyn entered the kitchen. Evelyn entered the hall. Jack entered the hall. The corn is in the red_pantry. Jack exited the hall. Evelyn moved the corn to the red_drawer. Phone rang. Evelyn exited the hall. Jack entered the hall. Where will Jack look for the corn?
| red_drawer
| 0 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.5400522351264954,
-0.3833933472633362,
-0.4628971219062805,
0.2682850956916809,
-0.2609538435935974,
-0.491682767868042,
0.06348598003387451,
0.8878195285797119,
-0.27117353677749634,
0.22751013934612274,
-0.31006622314453125,
0.7683635950088501,
-0.009712816216051579,
-0.115984916687011... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].
Texas Christian Tops No. 3 Georgia 64-63 (AP) AP - Sandora Irvin had 28 points and 15 rebounds to lead Texas Christian to a 64-63 victory over No. 3 Georgia on Saturday night in the semifinals of the Rainbow Wahine Classic.
Output: | Sports | 1 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.6786149144172668,
0.13786080479621887,
0.2120801955461502,
0.5505270957946777,
0.19992806017398834,
0.5229781866073608,
-0.13900744915008545,
0.35343480110168457,
0.03765013813972473,
0.38716936111450195,
-0.20649772882461548,
0.0949888825416565,
-0.2846236228942871,
-0.7040313482284546... |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Q: Sentence: The Chicago company 's beverage carrier , *-1 meant *-2 to replace cardboard trays at concession stands and fast-food outlets {{ , }} resembles the plastic loops used * on six-packs of beer , only the loops hang from a web of strings .
Word: ,
A: .
****
Q: Sentence: But the prospects for legislation that *T*-1 targets program trading is unlikely anytime soon {{ . }}
Word: .
A: .
****
Q: Sentence: Mr. Wilder did introduce such legislation 17 years ago {{ , }} but he did so at the request of a constituent , a common legislative technique used * by lawmakers .
Word: ,
A: | .
****
| 4 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.31033217906951904,
0.16448312997817993,
-0.006898269988596439,
0.12252558767795563,
-0.10712325572967529,
-0.6347652673721313,
0.6275002956390381,
0.7592159509658813,
-0.31703662872314453,
-0.002320513827726245,
-0.4768660068511963,
0.07122203707695007,
-0.5260225534439087,
0.34216547012... |
Given the task definition and input, reply with output. 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.
name[xname], cuisine[French], location[city centre], familyFriendly[no], near[xnear]
| xname is a non-family-friendly French restaurant located in the city centre near xnear. | 5 | NIv2 | task1598_nyc_long_text_generation | zs_opt | [
-0.638634979724884,
1.1102172136306763,
-0.43352413177490234,
-0.006561484187841415,
-0.32960212230682373,
0.04796503484249115,
0.6875318884849548,
0.1587945818901062,
0.3370921015739441,
-0.8044136762619019,
0.02297624573111534,
0.06617367267608643,
-0.5986534357070923,
-0.172545820474624... |
Instructions: Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the author is considering doing something in the future. Say 'yes' if the claim is true otherwise say 'no'
Input: CLAIM : The following post is HISTORICAL. POST : So my gf (22f) and I (23m) have been together for about a year and a half, and have been long distance for almost a year. She's in her last year of school so when she graduates in a month we won't be doing long distance anymore. We live about two hours apart so we still see each other about once a week.
Back in the fall she became friends with this guy from one of her classes. One night back in November she went out with a group of her friends and him and a couple of his friends. She ended up going back to his house to postgame (her friends went home). She ended up staying there until about 4am and would periodically post snapchat stories of him and his friends singing and playing guitar (the guy and his friends are in a band) and the whole time she was ignoring my texts. This lead to us getting into several fights over the next two weeks and we came very close to breaking up.
Since then things between us have been great. We worked out a lot of issues that had arose from being long distance. She is still friends with this guy but they don't hang out as often. What does kind of bug me is that they're best friends with each other on snapchat, and the two of us don't snapchat very often (I know that sounds kind of immature but whatever it bugs me I can't help it).
Every once in a while she will say something like "oh this guy might come out with us tonight, he's so nice I really want you to meet him"or "I really think you Guys would be good friends you're very similar". Stuff like that.
I trust my girlfriend and since nothing like that night in November has happened again I'm not gonna try to interfere with their friendship because she's her own person and I can't control who she's friends with. However, the other night she said that he really wants to meet me and I told her I'm sorry but I have no desire to meet this guy, which she said was mean.
I felt like this was fair given the fact that they graduate in a month so I likely won't really build a friendship with him at this point, and because of the stuff that I pointed out already this just isn't someone I'm particularly fond of.
Am I an asshole for telling her I have no desire to meet this guy?
Output: | no | 3 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
-0.10138005018234253,
0.35016927123069763,
0.29754841327667236,
-0.12426219135522842,
0.22400298714637756,
-1.1584516763687134,
0.5763013362884521,
0.8760587573051453,
-0.6031865477561951,
-0.09844434261322021,
-0.07900804281234741,
0.49089550971984863,
-0.39550769329071045,
-0.30084055662... |
Teacher:In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment.
Teacher: Now, understand the problem? Solve this instance: What it contained made me wish I could stuff back my words with a pitchfork .
Student: | Original | 6 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.6880589127540588,
1.0168204307556152,
0.0770333930850029,
-0.6196472644805908,
-0.16206905245780945,
-0.2645425796508789,
0.31307345628738403,
0.7802871465682983,
0.38253310322761536,
-0.5698859095573425,
-0.30710354447364807,
-0.38551825284957886,
-1.380662202835083,
-0.515295922756195... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Problem:Wydaje mi się, że wszędzie dookoła istnieje ukryty potencjał. Wydaje mi się, że wszędzie dookoła istnieje ukryty potencjał.
Solution: | ويبدو لي أن هناك هذه الإمكانيات الكامنة في كل مكان ، من حولنا. | 8 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.8562439680099487,
0.7537684440612793,
-0.024244118481874466,
-0.6771373152732849,
-0.42061305046081543,
0.07852727174758911,
1.4288814067840576,
-0.1408676952123642,
0.7700918912887573,
-0.7566324472427368,
-1.0272767543792725,
0.633389413356781,
-1.1437969207763672,
0.3051997721195221,... |
instruction:
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
question:
Comment: The lying thieves in HART get what they want ALL THE TIME regardless... WHY do they need a MARKETING BUDGET?!?!?!?!?!?!?!?!?!
Death to HART!!!!
answer:
Threat
question:
Comment: 20 years old is not a kid. I remember when I was 20 and there is no way I was so selfish and immature that I would kill someone, pull their dead body off my vehicle, then leave.
answer:
Threat
question:
Comment: In North Korea you would probably get executed.
answer:
| Threat
| 9 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.4716155230998993,
0.7242326140403748,
0.5411374568939209,
-0.07134467363357544,
0.04365204647183418,
-0.8434282541275024,
1.052824854850769,
0.6160314083099365,
-0.1603585183620453,
0.12343579530715942,
0.21522945165634155,
0.025889184325933456,
-0.7846150994300842,
-0.6589422821998596,... |
instruction:
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anything else apart from one of the following characters: "A", "B", "C", "D". There is only one correct answer for each question.
question:
Article: One of my China Dialogue colleagues in Beijing recently bought a Philips energy-saving light bulb to replace a standard one.He was happy with his choice.It may have cost 30 yuan (just under US$4.50) - ten times the price of a filament bulb - but he wanted to save energy as part of his low-carbon lifestyle.And according to the shopkeeper, he would save, in the long run, much more than the 30 yuan he was spending. Yet only one month later, his expensive light bulb blew up, before he had saved even a small part of the purchase price.Will he stick to his high-cost, low-carbon lifestyle? China's environmental organizations have started to advocate low-carbon lifestyles and the decrease of carbon footprints to help fight against climate change.But they have overlooked one fact: in China, low-carbon living comes at a high cost.It means buying energy-saving bulbs and appliances, and environmentally friendly building materials and daily goods.Cost can no longer be the only standard for purchases.An energy-saving and environmentally friendly product is more expensive than a standard alternative - whether it's a simple light bulb or the house it shines.For average consumers, even buying an ordinary bulb is a huge burden.How can we persuade ordinary people to choose an energy-saving residence? This is not a trend they can afford to follow; perhaps this fashion is only for the rich. Most consumers today do not cause huge carbon dioxide (CO2) emissions.Their responsibility lies not in choosing a low-carbon lifestyle today, but in avoiding a high-carbon life in the future.The principle of "common but differentiated responsibility" - a basis of sustainable development - can be applied here as well. In China, low-carbon living still is resisted by a lack of social infrastructure . Even if your salary allows you to make that choice, nobody is there to help you accomplish it. Consider energy-saving homes. You need to find out whether or not the developer has used natural materials wherever possible; how effective the insulation(, ) is; and what the green credentials of installed equipment are.You can read up a little, but you'll still be lucky to avoid being puzzled by the developers' marketing.Many so-called energy-saving buildings are nothing of the sort, and some are even more energy-hungry than the average home - as Li Taige warned in his article "Energy-efficient buildings? Not always", on China Dialogue last August.
Question: What may probably be the best title of this passage?
Options: (A) To purchase a cheap bulb - your wise alternative. (B) To choose an energy-saving residence - a must of your life (C) To learn a low-carbon lifestyle - each citizen's responsibility (D) To learn a low-carbon lifestyle - a promising but difficult purpose
answer:
D
question:
Article: Looking through a magazine in a waiting room recently, I came across an article with the title "My top five most precious possessions".It was just a few lines of text with pictures, but it caught my imagination. It's interesting how inanimate objects can take on such significance and become woven into a person's, and sometimes a whole family's life history. Anyway, the article had me considering what my most precious possessions are. It was difficult to choose only five, but here are mine: An old cardboard box filled with my children's baby photos. A yellow pocketsized birthday book of special things (poems, pictures of flowers and trees, etc) given to me by my dad when I was probably about seven or eight years old. A 21st Birthday card from my mum. In it she's written her congratulations, her love, and her hopes for my future. She died not long after, when I was in my early twenties. A few ancient but very beautiful botany books that were once my great grandmother's. She was a botanist in a time when it was ly unusual for women to be qualified in this field and I think she was probably a remarkable and very interesting woman. I'd like to have known her. A brooch left to me by my muchloved grandmother. It was given to my great grandmother (her mother) by my great grandfather on his return from World War I. It is not worth anything in terms of money. However, it not only stands for a link between four generations of women, but it is also a reminder of one young man's return from World War I. How about you? I'd love to hear what you feel are your most precious possessions.
Question: What made the writer have the idea of writing the passage?
Options: (A) Her love for her s. (B) Her rich imagination about the objects. (C) An article in a magazine. (D) Some pictures in an article.
answer:
C
question:
Article: Vanessa Brown, a senior lecturer of art at Nottingham University, explores the cultural and psychological relation between sunglasses and our modern idea of "cool." Her research has uncovered about why most of us look better in shades. Because they really make your misshapen face look better. Put on a pair of sunglasses, and an instant beauty as a result of balance! The dark lenses cover up any unbalanced oddities around your eyes, and research on facial attractiveness shows a clear link between balance and our sense of beauty. Because of mystery. Many of the quick judgments we form about people come from looking in the eyes; shade yours, and you're instantly a more attractive presence. Eye contact helps us form judgments about someone's intelligence, confidence, and sincerity and sunglasses keep us literally in the dark about forming those perceptions. And it works both ways, because the wearer of the sunglasses feels more mysterious, too. Because of their historical link with sharpness and attraction. We take their existence for granted today, but sunglasses are relatively modern, Brown said. Sales started to pick up in the 1920s, but they didn't become commonplace until about two decades after that. The way sunglasses were most used prior to their commercialization helps explain their inside coolness, Brown said, because in their early days sunglasses were primarily used during risky water and snow sports, which made them seem "daring and totally modern." Soon after that, Hollywood stars of the 1950s and 1960s started wearing sunglasses to defend themselves from being recognized by the public or bothered by paparazzi , whose flashbulbs would often explode violently, Brown said. Anyhow, movie stars' adoption of them strengthened a sense of romance. Also--and this is more from my own personal research than Brown's--hang-overs. They're really great for hiding hang-overs.
Question: Which of the following would Vanessa Brown agree with?
Options: (A) Sunglasses deliver mystery to the observers as well as the wearers. (B) Sunglasses were mainly used in risky sports after their commercialization. (C) Sunglasses are relatively modern and they became commonplace in the 1920s. (D) Sunglasses cover up unbalanced oddities on the face to give people a sense of mystery.
answer:
| A
| 9 | NIv2 | task309_race_answer_generation | fs_opt | [
0.36231565475463867,
0.5877561569213867,
-0.23658904433250427,
-0.3305717408657074,
0.63034588098526,
-0.5434268712997437,
0.7617654800415039,
0.9657316207885742,
-0.42922672629356384,
-0.068018339574337,
0.2409876435995102,
0.575704038143158,
-0.7208977341651917,
0.3257105350494385,
-0.... |
Given the task definition and input, reply with output. Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Obviously, the title makes this sound lame, and it probably is. Today is Valentine’s Day and my husband (29M) and I (22F) typically just do something really small like dinner and small candy gifts.
My husband has a history of not getting me any gift at all for things (Christmas, my birthday, our anniversary etc.) because he typically forgets. Sometimes he’ll get me something retroactively, but sometimes he doesn’t. An important detail is that our birthdays, Valentine’s Day, and our anniversary all fall around the same time of year so it is kind of a lot all at once.
This year we were talking about our birthdays and I said “don’t bother getting me anything.” He argued that he would like to get me something so I said “I want you to make me a nice dinner.” (This is something I have asked him to do for the last 4 holidays and it still hasn’t happened.) He said he would do that. Then I asked about Valentine’s Day and he said “We’re definitely doing something.”
Today, I arranged to have a bakery make a small personal sized cake, chocolate covered strawberries, and a chocolate heart for him. I got off work an hour early and came home to surprise him with it. He stayed home from work today because he is recovering from a fever and cough, but he was 90% better today and went out for errands. He wasn’t home when I got home, which was strange so I tried calling him. He didn’t answer, so I waited about 15 minutes and called again with a follow up text. No answer. I started to get really worried and called another 3 times in a row and still no answer.
About 20 minutes later he calls me back and says “I was getting a haircut, but I’m coming home now. Is everything okay?” I said yes and see you soon.
I thought he would be bringing something back for me for Valentine’s Day. But he came home empty handed, and seemed genuinely surprised that I got him something. I then expressed that I was a little hurt that he didn’t get me anything and his response was “Well, I had planned to get something on the way home but then you called me so many times I thought you were mad I wasn’t home so I just came straight here.”
To me that feels like a BS excuse and he forgot to get me something. I clearly told him on the phone that everything was good and I was just worried about him not answering for so long. I feel like he’s trying to flip it on me, like it’s my fault he couldn’t get me a gift.
So I took the chocolate covered strawberries for myself and I’ve been kind of snippy with him tonight when he asks me what I want to do.
AITA for being upset that he didn’t get me a Valentine’s Day gift?
| being upset that my husband didn't do anything for Valentine's day | 5 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
0.5481266975402832,
0.7725967168807983,
-0.14677876234054565,
-0.1545756459236145,
0.8623546361923218,
-0.6292811632156372,
0.2564307153224945,
0.8434823751449585,
-0.4476035237312317,
-0.1010301262140274,
-0.4186353385448456,
1.0983498096466064,
-0.745341420173645,
-0.26131874322891235,
... |
A text is given in Malayalam. Translate it from the Malayalam language to the Telugu language. The translation must not omit or add information to the original sentence.
ప్రతి ఒక్కరు ఇలాంటి నిర్ణయం కావాలని కోరుకున్నా, ఎవరో ఒకరు దాన్ని చేపట్టి ముందుకు తీసుకు వెళతారని ఆశిస్తూ, వేచి ఉన్నారని దీని అర్థం. | ഇതിനര്ത്ഥം എല്ലാവരും ഈ തീരുമാനം ആഗ്രഹിച്ചിരുന്നുവെന്നും, അതിന് മുന്കയ്യെടുക്കാനും മുന്നോട്ട് കൊണ്ടു പോകുന്നതിനും ആരെങ്കിലും വരുന്നതിനു വേണ്ടി അവര് കാത്തിരിക്കുകയായിരുന്നു എന്നുമാണ്. രാജ്യവാസികള് എനിക്കായി നിയോഗിച്ച കര്മ്മം പൂര്ത്തിയാക്കാനായി ഞാന് എത്തി. | 0 | NIv2 | task1050_pib_translation_telugu_malayalam | zs_opt | [
-0.17361801862716675,
0.5002928972244263,
-0.5104104280471802,
0.3086535334587097,
-0.10613186657428741,
-0.8379872441291809,
0.36672431230545044,
0.11111542582511902,
-0.3210827708244324,
-0.2967628538608551,
-0.1537526249885559,
-0.7990731000900269,
-1.0811669826507568,
0.186785191297531... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
Let me give you an example: Statement : Says the Annies List political group supports third-trimester abortions on demand.
Subject: abortion
The answer to this example can be: True
Here is why: abortion is a correct subject of the statement because it talks about a political group supporting demans of abortions. So True is the correct answer.
OK. solve this:
Statement: Says David Rivera received a $5,000 campaign contribution from Congressman Spencer Bachus, who is currently under House Ethics investigation for insider trading.
Subject: immigration
Answer: | False | 8 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.18212297558784485,
-0.017190497368574142,
-0.25774335861206055,
0.32406631112098694,
-0.7885054349899292,
-0.4181147813796997,
1.0540931224822998,
-0.17240087687969208,
0.285642147064209,
0.18717257678508759,
-0.7295311689376831,
0.2034425437450409,
-0.3448296785354614,
0.15099504590034... |
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning types are illustrated in the 'positive examples' field) and also have a variety of answer types (spans, numbers, dates). A span is a continuous phrase taken directly from the passage or question. In such questions, the answer spans are recommended to be five words. Questions with answer type "number", are expected to start with "How many". For instance, "How long did an event last?" can be phrased as "How many years did an event last?". To increase diversity, try to create more questions for which the answer will be multiple spans. Please create questions that require AT LEAST 2 arithmetic operations as illustrated in the 'positive examples' field. You are encouraged to try DIFFERENT COMBINATIONS of operations and not just limit to the combinations shown in those examples. The more challenging questions you create, the better it is.
Example Input: Passage: The Jets played a rare road game at home, as they took on their intracity rivals (and stadium co-tenants), the New York Giants. Both offenses were slow to start through the first quarter, though the Jets' defense capitalized when Giants running back Brandon Jacobs fumbled at his own 11-yard line, which was picked up by safety Kerry Rhodes for a touchdown. The Jets had a chance to extend the lead later in the period, but Mike Nugent missed a 42-yard field goal. The Giants responded on the ensuing drive with an eight-yard touchdown by Derrick Ward. The deadlock was broken toward the end of the first half when Chad Pennington led the Jets on a 93-yard drive with less than two minutes in the half, ending on a 16-yard touchdown pass to Brad Smith. The Jets were able to tack on a 47-yard field goal by Nugent to end the half, after they got the ball back on an interception of Giants quarterback Eli Manning by Jonathan Vilma, taking a 17-7 lead into the locker room. The Giants went to work when they opened the second half, getting a 19-yard touchdown run from Jacobs to cut the Jets' lead to three. The lead was restored back to ten, however, when Leon Washington returned the ensuing kickoff 98 yards for a touchdown. Later in the quarter, Manning led the Giants downfield and completed a 13-yard pass to tight end Jeremy Shockey for a touchdown. Pennington attempted to respond by leading the Jets deep into Giants territory early in the fourth quarter, but he floated a pass toward the end zone which was intercepted at the two-yard line by cornerback Aaron Ross. Despite the bad field position, Manning eventually found Plaxico Burress on a 53-yard touchdown pass to put the Giants ahead, 28-24. The Jets tried to get back ahead later in the period, but Pennington was intercepted again by Ross (Pennington's third of the afternoon), who took it 43 yards for what was effectively the game-sealing touchdown. One last attempt by the Jets to score yielded no positive yardage, and the Giants ran out the clock to preserve the victory.
Example Output: How many yards did Mike Nugent kick for successful field goals?
Example Input: Passage: In the city, the population was distributed as 21.3% under the age of 18, 14.6% from 18 to 24, 33.2% from 25 to 44, 20.9% from 45 to 64, and 10.0% who were 65 years of age or older. The median age was 33 years. For every 100 females, there were 96.5 males. For every 100 females age 18 and over, there were 94.3 males.
Example Output: How many in percent weren't 18 to 24?
Example Input: Passage: Rubén Rodríguez established most of the early long-standing record in the BSN. He broke both the single-season points record with 810 in 1978 and the most career points record with 11,549. The current holder of the career mark is Georgie Torres, who broke it before retiring in 2001 with 15,863 points in 679 games, playing his entire career after the establishment of the three-point line. Rodríguez also holds the mark for most rebounds in a career with 6,178. He also held the single-season rebound record with 380 in 1978, which stood until Lee Benson broke it in 2008. Currently, Neftalí Rivera holds the record for most points in a game in the Baloncesto Superior Nacional when he scored 79 points on May 22, 1974. In that game he achieve the record by making 34 field goals(all of them 2-pointers as the 3-pointers where not adopted back then) and 11 free throws. In 1989, Pablo Alicea of the Gigantes de Carolina established a record for most assists in one game with 25. The record stood for over two decades until May 1, 2012, when Jonathan García of the Caciques de Humacao broke it recording 33 assists against the Brujos de Guayama. Garcías mark is an unofficial world record pending the approval of Guinness World Records, since there is no higher number recorded in any amateur or professional international league or in FIBA competition. During this game, the Caciques also established the team points record for a single game with 130 and for most scored during a single (10-minute) quarter with 46. The Vaqueros de Bayamón hosted the game with most assistance in the league, with 17,621 fans attending a home game against Río Piedras on September 8, 1969. This bested the previous top of 16,564 in a game between Ponce and Santurce. The Vaqueros also hold the record for most consecutive championships, winning five from 1971-75.
Example Output: | How many assists did Jonathan Garcia's record beat Pablo Alicea's record by?
| 3 | NIv2 | task026_drop_question_generation | fs_opt | [
0.46545469760894775,
0.16140758991241455,
-0.5705669522285461,
0.039502374827861786,
0.5980316996574402,
-0.4782940149307251,
1.0635380744934082,
0.2579449415206909,
-0.16848821938037872,
-0.16723254323005676,
-0.7973461747169495,
0.5559521913528442,
-0.8436914682388306,
0.2531534433364868... |
In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb, Num: Number, Misc: Miscellaneous, Pron: Pronoun, Prep: Preposition, Punc: Punctuation.
Ex Input:
Ook voor deze wagens wordt de belasting op de inverkeersstelling verminderd of afgeschaft .
Ex Output:
Adv Prep Pron N V Art N Prep Art N V Conj V Punc
Ex Input:
Ze maakten daarbij gebruik van een actigraaf , een toestelletje dat wat weg heeft van een polshorloge en de lichaamsactiviteit meet .
Ex Output:
Pron V Adv N Prep Art N Punc Art N Conj Pron Adv V Prep Art Adj Conj Art N V Punc
Ex Input:
Maar niemand weet wat gaat gebeuren .
Ex Output:
| Conj Pron V Pron V V Punc
| 1 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | fs_opt | [
0.6779555082321167,
-0.504748523235321,
0.0325583852827549,
0.3054199814796448,
0.0024056988768279552,
-0.6710475087165833,
0.44132936000823975,
0.713088870048523,
0.20808684825897217,
-0.15512758493423462,
-0.23314103484153748,
0.3321038484573364,
-0.0728713870048523,
0.565150260925293,
... |
Teacher:In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Teacher: Now, understand the problem? Solve this instance: [3631, 'X', 9101, 'j', 945, 'U', 2481, 'O', 'v', 'G', '7819', '2859', '8031', 't', '4467', '1531', '229', 'u', '5701', '2097', '7479', '5637', 'q', '3983', 'C', '7285', '5061', 'O', 'Q', 6075, 595, 4131, 'r', 5851], ['e', 'z', 'D', 'L', 'p', 9363, 'K', 3183, 8217, 'G', '7819', '2859', '8031', 't', '4467', '1531', '229', 'u', '5701', '2097', '7479', '5637', 'q', '3983', 'C', '7285', '5061', 'H', 'u', 5027, 2109, 'A', 1749, 'X', 'Z', 9065, 'M', 7255]
Student: | G, 7819, 2859, 8031, t, 4467, 1531, 229, u, 5701, 2097, 7479, 5637, q, 3983, C, 7285, 5061 | 6 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.3543652296066284,
-0.28340470790863037,
-0.41282886266708374,
-0.8605047464370728,
-0.15456056594848633,
-0.4396507143974304,
0.5477505326271057,
0.7854927778244019,
-0.9188613891601562,
-0.06783252954483032,
-0.4386711120605469,
-0.2669367492198944,
-0.11746286600828171,
-0.03202246129... |
Given the task definition and input, reply with output. A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with the list of its weights, for example, equation weights = [6, 4] represent the equation 6x + 4 and equation weights = [1, 3, 4] represent the equation 1x^2 + 3x + 4. In this task, you need to compute the result of a polynomial expression by substituing a given value of x in the given polynomial equation. Equation weights are given as a list.
x = 2, equation weights = [8, 6, 2]
| 46 | 5 | NIv2 | task090_equation_learner_algebra | zs_opt | [
0.16760101914405823,
0.9538184404373169,
-0.6378182768821716,
-0.6690352559089661,
-0.5847330093383789,
-0.14869289100170135,
0.9754299521446228,
0.6401196718215942,
0.09176105260848999,
-0.9764070510864258,
-0.7055631279945374,
0.7908202409744263,
-0.8370519876480103,
0.010197961702942848... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
One example is below.
Q: Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly.
A: Marcus was happy to have the right clothes for the event.
Rationale: Marcus is buying clothes for a business event.
Q: Title: Cell Phone Blues. Sentence 1: I dropped my cellphone in the toilet. Sentence 2: I tried drying it off in rice. Sentence 3: The phone was still broken. Sentence 4: I went to buy a new phone.
A: | I bought a new phone for a lot of money. | 9 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.28620538115501404,
0.9298332333564758,
-0.35488656163215637,
-0.520161509513855,
-0.14794380962848663,
0.5101784467697144,
0.8769734501838684,
0.3568342924118042,
0.08035258203744888,
0.09910918772220612,
-1.0492388010025024,
-0.10946758091449738,
-0.24096670746803284,
0.622566521167755... |
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
English: The Dow Jones Industrial Average (DJIA), one of the main stock indices in the United States, has broken an all-time closing record, to close at 14,000.41 points which is up 82.19 points (0.59%) from its last close.
Hindi: संयुक्त राज्य अमेरिका में मुख्य स्टॉक इंडेक्स में से एक डॉव जोन्स इंडस्ट्रियल एवरेज (DJIA), 14,000.41 अंक पर बंद होकर पूर्व का सारा क्लोजिंग रिकॉर्ड तोड़ दिया है, जो कि अपनी अंतिम बंदी से 82.19 अंक (0.59%) ऊपर है।
Yes
English: "We would like to see a member of Congress look into whether or not the president committed impeachable offenses," said John Bonifaz, a constitutional lawyer.
Hindi: पुलिस को एक ऐसे व्यक्ति का शव मिला है, जिसे वे शूटिंग की श्रृंखला के लिए यूनाइटेड किंगडम के कम्ब्रिया में शिकार कर रहे थे।
No
English: The Louisiana Supreme Court defended Kennedy's sentence, saying that "short of first-degree murder, we can think of no other non-homicide crime more deserving" of the death penalty.
Hindi: लुइसियाना सुप्रीम कोर्ट ने कैनेडी की सजा का बचाव करते हुए कहा कि "प्रथम श्रेणी की हत्या से कम, हम मौत की सजा के बिना किसी अन्य गैर-हत्या के अपराध के अधिक योग्य नहीं सोच सकते।"
| Yes
| 0 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.24447017908096313,
-0.14845862984657288,
0.2950160503387451,
0.5832388401031494,
-0.1043759435415268,
-0.5614771246910095,
-0.4218460023403168,
0.815218448638916,
-0.6770237684249878,
0.406485378742218,
-0.4692354202270508,
0.2072179615497589,
-0.5043172240257263,
0.4318488836288452,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is located or can be found at/in/on the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
[Q]: Head: doctor<sep>Tail: clinic
[A]: Yes
[Q]: Head: PersonX acts PersonX's age<sep>Tail: trusts personX
[A]: No
[Q]: Head: bookstore<sep>Tail: carpeting
[A]: | Yes
| 5 | NIv2 | task1207_atomic_classification_atlocation | fs_opt | [
0.18360620737075806,
0.21035438776016235,
0.392791211605072,
-0.4688479006290436,
-0.5288874506950378,
-0.5626591444015503,
0.8709530234336853,
0.3149137496948242,
-0.20526570081710815,
-0.4070920944213867,
-0.39874839782714844,
0.010389856994152069,
-0.7402787208557129,
0.6174917221069336... |
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
[Q]: You are likely to find a figure in history .
[A]: You are likely to find a slot in history .
[Q]: Space travel lets us attract other philosophers .
[A]: Z email lets us thank other experts .
[Q]: The media can inform the action .
[A]: | The owner can test the post .
| 5 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
-0.5113744735717773,
0.8071765899658203,
0.1546703726053238,
-0.20939218997955322,
-0.12755995988845825,
-0.21395540237426758,
0.34685537219047546,
0.26633018255233765,
0.1377822309732437,
-0.5200268626213074,
-0.15329080820083618,
0.1262122392654419,
-0.4819085896015167,
0.048045173287391... |
Detailed Instructions: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Problem:Context: Her mother was the only child and heiress of Link Information: He married twice: Question: How many wives did Katherine's maternal grandfather have?
Solution: | Answer: 2 | 8 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
-0.619207501411438,
0.7764112949371338,
-0.39690718054771423,
-0.32012131810188293,
-0.3501330018043518,
0.4487156271934509,
0.850455641746521,
0.8656747341156006,
-0.04709797352552414,
-0.12433835119009018,
-0.05097714066505432,
0.25612348318099976,
-0.7368097305297852,
0.0973044782876968... |
Definition: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay special attention to the marked number, think about what (unwritten) information the marked number holds inside, choose the most adequate word(s) from the optional answers. If none of them seems right to you, there's also an option for other. If your answer is "REFERENCE", also write the reference entity, otherwise write the implicit option name. Options to choose from are:
REFERENCE: Some object which is being mentioned in the text before or after the target number. The reference answer has a higher priority than any other. If both Reference and another answer are possible, prioritize the Reference.
YEAR: Describing a calendric year
AGE: Describing someone's age
CURRENCY: Reference to some monetary value e.g dollar, euro etc.
PEOPLE: Describing a single/plural persons
TIME: Describing a time of the day. Usually you can add the word o'clock after those numbers.
OTHER: Some other option, which isn't listed here.
Input: Dr. King Schultz: How long have you been associated with Mr. Candie ?
Leonide Moguy: Oh , Calvin 's father and I were about _ eleven _ when we went to boarding school together . Calvin 's father 's father put me through law school . One could almost say I was raised to be Calvin 's lawyer .
Django: One could almost say you 's a nigga .
Leonide Moguy: What did you say ?
Django: I said ...
Dr. King Schultz: He 's just being cheeky .
Output: | AGE | 2 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
-0.1289176642894745,
0.5698309540748596,
-0.31206125020980835,
-0.31226280331611633,
-0.442338764667511,
-0.3170391917228699,
1.320871114730835,
0.6532745361328125,
0.02961086854338646,
-0.027492791414260864,
-0.4931908845901489,
0.5852053761482239,
-0.5402207970619202,
0.10792659223079681... |
Definition: This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned in the passage
(ii) create questions which require information beyond what is provided in the passage in order to answer
(iii) replace an existing entity, number, date mentioned in the passage with other entity, number, date and use it in the question
(iv) create a question which is answerable from the passage and then replace one or two words by their antonyms or insert/remove negation words to make it unanswerable.
Input: Passage: Glaciers are broken into zones based on surface snowpack and melt conditions. The ablation zone is the region where there is a net loss in glacier mass. The equilibrium line separates the ablation zone and the accumulation zone; it is the altitude where the amount of new snow gained by accumulation is equal to the amount of ice lost through ablation. The upper part of a glacier, where accumulation exceeds ablation, is called the accumulation zone. In general, the accumulation zone accounts for 60–70% of the glacier's surface area, more if the glacier calves icebergs. Ice in the accumulation zone is deep enough to exert a downward force that erodes underlying rock. After a glacier melts, it often leaves behind a bowl- or amphitheater-shaped depression that ranges in size from large basins like the Great Lakes to smaller mountain depressions known as cirques.
Output: | What is based on suface ice and melt conditions? | 2 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
0.5867117643356323,
-0.024503160268068314,
-0.18280911445617676,
0.31228363513946533,
0.6978011727333069,
-0.8713237643241882,
0.016645105555653572,
0.7880481481552124,
0.1871197670698166,
-0.4039062261581421,
-0.15308359265327454,
-0.005206234287470579,
-0.8323485851287842,
0.869099915027... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" and "stern") which express contrasting attributes about the two persons. The answer to the first and the second sentence must be PersonX and PersonY, respectively. PersonX and PersonY should not be equally likely to fill the blank. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your sentences. Avoid repeating the same style or phrase in twin sentences e.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that PersonX and PersonY have the same gender. In each sentence, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
One example is below.
Q: Context word: upset.
A: Sentence 1: PersonX yelled at PersonY because _ was so upset about the news.
Sentence 2: PersonX comforted at PersonY because _ was so upset about the news.
Rationale: As expected, two sentences contain mentions of PersonX and PersonY and they're quite similar. Their difference is in terms of trigger words ("yelled" and "comforted"), whcih result in them having different answers. As required by the instructions, the answer to sentence 1 and sentence 2 are PersonX and PersonY, respectively.
Q: Context Word: double jointed.
A: | Sentence 1: PersonX is not as limber or flexible as PersonY due to _ not being double jointed.
Sentence 2: PersonX is not as limber or flexible as PersonY even though _ is not being double jointed. | 9 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.35404306650161743,
0.19618210196495056,
-0.027043446898460388,
-0.21279706060886383,
0.510316789150238,
-0.49791866540908813,
0.8260922431945801,
0.7991609573364258,
-0.0661226287484169,
-0.5909561514854431,
-0.6183130741119385,
-0.2849311828613281,
-0.6269958019256592,
0.255358397960662... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Example input: Question1: How do I get into my Instagram if I forgot my email and my Facebook password?, Question2: I forgot my password and also my email password. how can I get back that account?
Example output: Yes
Example explanation: These questions have the meaning and the same answer. So, the output should be "Yes".
Q: Question1: Why do so many people hate Jews?, Question2: Why does everyone hate the Jews?
A: | Yes | 3 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
0.03325408324599266,
0.41255664825439453,
-0.24434123933315277,
0.4643762707710266,
-0.2328813076019287,
-0.5836290121078491,
1.1726033687591553,
0.6560896635055542,
0.5727877616882324,
-0.0831156075000763,
-0.1183861643075943,
-0.08716383576393127,
-1.146073818206787,
-0.5488840937614441,... |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
[EX Q]: Text: Tanggalin ang dami sa Dami. sa Ship field para sa ika-apat na linya.
[EX A]: Tagalog
[EX Q]: Text: Para sa Challenge na webcast, pahihintulutan ng kawani ng operasyon na patotohanan ang pagtugon at kalidad nilalaman.
[EX A]: Tagalog
[EX Q]: Text: 26 And he said: So is the kingdom of God, as if a man should cast seed into the earth,
[EX A]: | English
| 6 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
-0.09400521963834763,
0.43376317620277405,
0.6866329312324524,
-1.165674090385437,
0.3763037323951721,
-0.759293794631958,
0.2454550862312317,
0.49563848972320557,
-0.1634734570980072,
0.056355591863393784,
0.0011474183993414044,
0.035676755011081696,
-0.7847091555595398,
-0.14873924851417... |
Teacher:You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
Teacher: Now, understand the problem? Solve this instance: Sentence: She made friends with a girl named Tina.
Question: What did Sally do this summer?
Student: | Yes. | 6 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.7385693788528442,
0.5484726428985596,
0.5676887035369873,
0.6401951313018799,
-0.39167314767837524,
-1.6105163097381592,
0.20192724466323853,
1.3091537952423096,
-0.02482684887945652,
-0.10285913944244385,
0.18548698723316193,
0.2205110788345337,
-0.282046914100647,
-0.5286335945129395,... |
You will be given a definition of a task first, then some input of the task.
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Context: I am in college with a friend group of 1 and a half years. At some point, my friend had been through alot, and I mean ALOT. So we did our best to comfort her and support her. Eventually she told us she "didn't want to be alive anymore," one of the friends took action and had her go to the school's counselors office where she promptly went to a mental hospital. We sent her gifts and tried visiting her. She eventually gets out but not feeling particularly better. We get back together and try to enjoy ourselves, but she said something to me that got me real angry, so I left the building at night. I come back about 2 hours later and apparently they've been searching for me because they were concerned and I didn't have my phone. Okay, lesson learnt, sorry. Two days later, another heated argument with her and friend who took her to hospital. It was petty but it got her angry enough to decide to walk out of the car in the middle of the night to go back to her place which would be at least an hour walk. I wasn't even listening to the fight I was just sitting when she suddenly left. I thought it was unfair that she would leave in the middle of the night even though she was the main one lecturing me about leaving. I talk to friend who remained and turns out he was also suicidal. He said that the way she talked to him made him feel bad because she would say things like "Fuck off" or "Shut up, bitch" and we have never said those things to her. So we decide that the friendship seemed to be more of her getting nice words while the other depressed person gets insults along with the rest of us. Next day, we didn't expect an apology and she didn't give one. I tell her that we felt that the friendship was lopsided and that pretty much devestated her because she thought we were there to support her for her hard times, and yet we accused her of having a lopsided friendship. We were her best friends and I didn't mean to hurt her we were just very upset and confused and I feel like a complete asshole for it, but I just don't know because my other friend said he's glad he doesn't have someone telling him to fuck off in his life, but I made someone who was clinically depressed feel worse. I apologized, but it wasn't accepted. I want your unbiased opinions, please. Was I the asshole?
Output: | telling a friend that I felt the friendship was lopsided | 1 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
0.5546244382858276,
0.07437644153833389,
0.15488287806510925,
-0.39107805490493774,
0.4014061689376831,
-0.4337243437767029,
1.1922504901885986,
0.7107540965080261,
-0.5229098200798035,
0.2453894317150116,
-0.10241828858852386,
0.296387255191803,
-0.44474560022354126,
0.07402678579092026,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Se fossimo all'esterno, la cosa sarebbe quasi priva di senso, intesa come prima del tempo. | Si estuviéramos fuera de esto casi no tendría sentido, en el sentido que sería antes del tiempo. | 0 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.8860191106796265,
1.3094160556793213,
-0.1774330735206604,
-0.06149980425834656,
-0.3151288330554962,
-0.6351385712623596,
-0.31937697529792786,
1.5623512268066406,
0.2918062210083008,
-0.06410200148820877,
-0.980379581451416,
-0.09527738392353058,
-0.8232872486114502,
0.093180932104587... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: Il cancro era troppo avanzato.
Student: | O cancro estaba moi avanzado. | 6 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.3562394678592682,
1.003815770149231,
0.22444018721580505,
-1.1007493734359741,
-0.27645063400268555,
-1.0449910163879395,
-0.13445930182933807,
0.615142822265625,
-0.35909026861190796,
0.02679777517914772,
0.0500500313937664,
-0.3227429687976837,
-0.7277668714523315,
0.1999892294406891,... |
Q: Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
BACKGROUND/AIMs: Pleiotrophin (PTN) have been demonstrated to play an important role in the development of human gastric cancer. However, the prognostic value remains unclear. The aim of this study was to investigate whether expression of PTN has prognostic relevance in human gastric cancer.', 'Immunohistochemistry was used to investigate the expression of PTN proteins in 178 patients with gastric cancer. The level of PTN mRNA in gastric cancer tissues and paratumor tissues were evaluated in 52 paired cases by quantitative real-time polymerase chainreaction(qRT-PCR). Survival analysis by the Kaplan-Meier method was performed to assess prognostic significance.', 'The expression level of PTN in gastric cancer tissues was significantly higher (P<0.001) than those in paratumor tissues according to the immunohistochemistry analysis, which was confirmed by qRT-PCR analysis. Additionally, the overexpression of PTN was significantly associated with the tumor site (P=0.001), Lauren’s classification (P<0.001),histologic differentiation(P=0.014),depth of invasion(P<0.001), TNM stage (P=0.003),and lymph node metastasis (P=0.002). Moreover, the Cox proportional- hazards regression analysis revealed that the increased expression of PTN was an independent prognostic factor for poor recurrence-free survival(RFS) and overall survival(OS)(both P<0.001).
A: | 0 | 7 | NIv2 | task848_pubmedqa_classification | zs_opt | [
0.21612274646759033,
-0.1064135730266571,
-0.31114670634269714,
0.11835598945617676,
0.46588122844696045,
-0.21908262372016907,
0.14263060688972473,
0.8790044784545898,
0.6584545373916626,
0.8828632831573486,
-0.269381046295166,
0.05098691210150719,
-0.9199488162994385,
0.39010223746299744... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Example input: 7
Example output: Yes
Example explanation: 7 is a prime number as it has no factors greater than 1. So, it can't be made by multiplying other whole numbers and the answer is 'Yes'.
Q: 3966
A: | No | 3 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.34293466806411743,
1.2713730335235596,
0.07159606367349625,
0.024758238345384598,
-0.0956234484910965,
-0.4492528736591339,
0.7401527166366577,
0.9690116047859192,
0.3831176161766052,
-0.28242027759552,
-0.14032107591629028,
0.13374006748199463,
-0.6164852380752563,
0.01115585770457983,... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay special attention to the marked number, think about what (unwritten) information the marked number holds inside, choose the most adequate word(s) from the optional answers. If none of them seems right to you, there's also an option for other. If your answer is "REFERENCE", also write the reference entity, otherwise write the implicit option name. Options to choose from are:
REFERENCE: Some object which is being mentioned in the text before or after the target number. The reference answer has a higher priority than any other. If both Reference and another answer are possible, prioritize the Reference.
YEAR: Describing a calendric year
AGE: Describing someone's age
CURRENCY: Reference to some monetary value e.g dollar, euro etc.
PEOPLE: Describing a single/plural persons
TIME: Describing a time of the day. Usually you can add the word o'clock after those numbers.
OTHER: Some other option, which isn't listed here.
One example is below.
Q: Jess Mastriani: No, I don't want another crooler, thank you very much.
FBI Agent Nicole Scott: But it's good for you. It's got... honeyglaze. Please die for this crooler, Jess.
Jess Mastriani: I've had _ two _ already. Who eats three croolers in a night?
FBI Agent Nicole Scott: Take a look. [Nicole takes a huge bite] Mmmmm, Mmmmm, Mmmmm!
A: REFERENCE crooler
Rationale: In this example, the number two refers to something that appears in this text. In this example, it refers to the word: crooler.
Q: The Eleventh Doctor: Hello , the TARDIS .
Clara: Emergency . You 're my boyfriend .
The Eleventh Doctor: Ding dong . Okay , brilliant ! I may be a bit rusty in some areas but I will glance at a manual .
Clara: No , no . You 're not actually my boyfriend .
The Eleventh Doctor: Oh . That was quick . It 's a roller coaster , this phone call .
Clara: But I need a boyfriend . Really quickly .
The Eleventh Doctor: Well , I hope you 're nicer to the next _ one _ .
Clara: No ! Shut up ! Christmas dinner . Me . Cooking .
The Eleventh Doctor: So ?
Clara: So I may have accidentally invented a boyfriend .
The Eleventh Doctor: Yeah , I did that once and there 's no easy way to get rid of an android .
A: | REFERENCE boyfriend | 9 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
0.19701343774795532,
0.27548861503601074,
-0.6054289937019348,
-0.009409897029399872,
-0.2575562596321106,
-0.7415977716445923,
1.2422332763671875,
0.5898860692977905,
-0.34630459547042847,
-0.03416746109724045,
-0.49852728843688965,
0.09953063726425171,
-0.3585417568683624,
0.014885932207... |
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the index of first word is 1.
Example: I a am professional dancer.
Example solution: (2,3)
Example explanation: words 'a' and 'am' have been swapped. The correct sentence would be 'I am a professional dancer.'. Since the position of 'a' is 2 and 'am' is 3, the answer is (2,3).
Problem: little The boy is holding up a stop sign
| Solution: (1, 2) | 5 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.12130190432071686,
0.4339429438114166,
0.04585619270801544,
-1.0084338188171387,
-0.05330231040716171,
-0.24765878915786743,
0.25341033935546875,
0.6578500866889954,
0.09284229576587677,
-0.21855425834655762,
-0.36411887407302856,
-0.05208220332860947,
-0.08821824193000793,
-0.176323652... |
Part 1. Definition
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Part 2. Example
این یک خانه ی اسکیمو می شود.
Answer: Così diventa un igloo.
Explanation: The Farsi sentence is correctly translated into Italian, because the meaning is preserved.
Part 3. Exercise
اما از دیدگاه من ، شفقت مشکلی دارد.
Answer: | Ma la compassione, dalla mia posizione privilegiata, ha un problema. | 7 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.11978839337825775,
0.5070653557777405,
-0.13737599551677704,
-0.5135492086410522,
0.07249321043491364,
-0.8016248345375061,
1.001744031906128,
-0.12464407086372375,
0.24855387210845947,
-0.3071024417877197,
-0.7448201775550842,
0.7878135442733765,
-0.568612277507782,
0.3738374710083008,... |
You are given a question title. You need to classify it into one of the 10 topics: 0 - 'Society & Culture', 1 - 'Science & Mathematics', 2 - 'Health', 3 - 'Education & Reference', 4 - 'Computers & Internet', 5 - 'Sports', 6 - 'Business & Finance', 7 - 'Entertainment & Music', 8 - 'Family & Relationships', 9 - 'Politics & Government'.
[Q]: What is the over/under for wins by the 49ers this season?
[A]: 5
[Q]: What is the difference between Notepad and WordPad?
[A]: 4
[Q]: do you like soccer?
[A]: | 5
| 5 | NIv2 | task1592_yahoo_answers_topics_classfication | fs_opt | [
-0.12714818120002747,
0.06565147638320923,
-0.005422573536634445,
0.12199829518795013,
0.03958793729543686,
-0.1317116618156433,
-0.05516810715198517,
0.12457282841205597,
0.364644855260849,
-0.5233305096626282,
0.1336054503917694,
0.0299091674387455,
-0.4909895062446594,
-0.66608279943466... |
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Topic: We should legalize cannabis<sep>Argument: Cannabis is useful in helping people with mental and physical diseases and legalizing it would make it easier for them to acquire it.<sep>Keypoint: Alcohol and tobacco are more harmful drugs yet remain legal
False
Topic: We should adopt libertarianism<sep>Argument: Libertarianism should be adopted as it promotes the freedom of the individualism and people can live as they please.<sep>Keypoint: Libertarianism increases economic growth
False
Topic: We should end mandatory retirement<sep>Argument: We should end mandatory retirement some people have to work to supplement government pensions. it gives them social interaction which they may not have if they arent working<sep>Keypoint: A mandatory retirement age decreases institutional knowledge
| False
| 0 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
0.612565279006958,
0.46378570795059204,
-0.5283616781234741,
-0.3671112656593323,
-0.41979649662971497,
-0.25323545932769775,
0.48643237352371216,
0.7906533479690552,
0.31835269927978516,
0.5082253813743591,
-0.7126302719116211,
-0.13484054803848267,
-0.6249039173126221,
0.0195296555757522... |
Given the task definition and input, reply with output. 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.
9886 - 1880 - 3746 + 9632 - 721 - 5677 - 1784 - 1010 + 1201
| 13871 | 5 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.5463016629219055,
0.49941176176071167,
-0.6434338092803955,
-0.2571759819984436,
-0.4497683048248291,
0.16650375723838806,
0.7079201340675354,
0.8476344347000122,
0.4448114037513733,
-0.3780174255371094,
-0.5494264960289001,
0.0101983193308115,
-0.6212028861045837,
0.30119749903678894,
... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Example: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
Output: Poradzi sobie, ale trzeba na nią uważać.
The Arabic sentence is correctly translated into Polish, because the meaning is preserved.
New input case for you: الغرب يمكن ان ينافس او يتعاون
Output: | Można konkurować albo współpracować. | 1 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
-0.16897225379943848,
1.4496387243270874,
0.034603364765644073,
-0.4698251783847809,
-0.461833655834198,
0.3492237627506256,
0.7728661894798279,
-0.12031255662441254,
0.5403822660446167,
0.1247665137052536,
-0.827829122543335,
0.40630626678466797,
-0.5580534934997559,
0.17028287053108215,
... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Example input: Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly.
Example output: He left in a huff for having his ideas mocked.
Example explanation: Marcus is buying clothes for a business event and not presenting an idea.
Q: Title: Headboard. Sentence 1: Last night, our headboard came loose. Sentence 2: It made creaking sounds. Sentence 3: I am disabled and cannot use two hands. Sentence 4: I jammed a pillow down, wedging the headboard.
A: | It tasted very good. | 3 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
0.19516098499298096,
1.0576417446136475,
-0.03390425443649292,
-0.2929888963699341,
-0.0678500384092331,
0.18838107585906982,
0.5158044099807739,
0.5484991073608398,
0.10834620147943497,
0.3189888000488281,
-0.6984096169471741,
-0.045423466712236404,
-0.08442655205726624,
0.131094366312026... |
Q: A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
పర్సనల్ మేనేజ్మెంట్ ఇంకా పబ్లిక్ అడ్మినిస్ట్రేశన్ రంగంలో సహకారం కోసం భారతదేశం మరియు సింగపూర్ ల మధ్య అవగాహనపూర్వక ఒప్పంద పత్రం (ఎమ్ఒయు) పై సంతకాలకు ప్రధాన మంత్రి శ్రీ నరేంద్ర మోదీ అధ్యక్షతన జరిగిన కేంద్ర మంత్రివర్గ సమావేశం ఆమోదం తెలిపింది.
A: | प्रधानमंत्री श्री नरेन्द्र मोदी की अध्यक्षता में केन्द्रीय मंत्रिमंडल ने कार्मिक प्रबंधन तथा लोक प्रशासन के क्षेत्र में सहयोग के लिए भारत और सिंगापुर के बीच समझौता ज्ञापन पर हस्ताक्षर को अपनी स्वीकृति दे दी है। | 7 | NIv2 | task1046_pib_translation_telugu_hindi | zs_opt | [
-0.03837679326534271,
0.2271682322025299,
-0.019554506987333298,
-0.8194533586502075,
0.41636914014816284,
-0.6823985576629639,
0.38473379611968994,
-0.19477565586566925,
0.09220157563686371,
0.07668102532625198,
0.41644173860549927,
-1.052148461341858,
0.11934175342321396,
0.1434142589569... |
Q: In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].
Spirit captures some evidence that underground source created rock <b>...</b> NASA #39;s older Martian robotic rover, Spirit, has found evidence that underground water changed a major rock formation called the Columbia Hills, scientists said Thursday.
A: | Sci/Tech | 7 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.40430110692977905,
0.4735420048236847,
-0.04438867047429085,
0.46657273173332214,
-0.3022095561027527,
-0.5638468861579895,
-0.24047820270061493,
-0.17103144526481628,
0.1722344160079956,
-0.1140505000948906,
-0.22449997067451477,
0.1410677582025528,
-0.05148389935493469,
-0.41952690482... |
Teacher:In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?). ",
Teacher: Now, understand the problem? Solve this instance: Sentence: Incidence of complications was significantly associated with the need for invasive ventilation but not with use of corticosteroids.
Section: finding
Student: | True | 6 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
0.32816576957702637,
0.23543186485767365,
-0.3731110095977783,
-0.2509365975856781,
-0.177423894405365,
-0.15921318531036377,
0.5343759059906006,
1.2643593549728394,
-0.1153775006532669,
-0.21194875240325928,
-0.6917942762374878,
-0.31639179587364197,
-0.0733613595366478,
-0.10469326376914... |
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been separated by a newline character.
Q: کتاب به سوی اصفهان نوشته «پییر لوتی» نویسنده و جهانگرد نامدار فرانسوی است، که در سال ۱۹۰۴ (میلادی) به رشته نگارش درآورده است.
سفر کوتاه «پییر لوتی» در دورهٔ سلطنت مظفرالدین شاه صورت گرفت.
A: | N | 4 | NIv2 | task534_farstail_entailment | zs_opt | [
-0.9936996102333069,
0.470244824886322,
0.22659048438072205,
0.26549291610717773,
-0.4160650968551636,
0.3293188512325287,
0.8357028365135193,
-0.1285216212272644,
0.5196114778518677,
-0.6177312135696411,
-0.4297969937324524,
0.27433618903160095,
-0.3797418177127838,
-0.0027964685577899218... |
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT (in Spanish).
Let me give you an example: CONTEXT: Taxonomía El avión roquero fue descrito formalmente como Hirundo rupestris por el naturalista italiano Giovanni Antonio Scopoli en 1769, si bien luego fue clasificado en el nuevo género Ptyonoprogne en 1850 por el ornitólogo alemán Heinrich Gustav Reichenbach.Sus parientes más cercanos son los otros integrantes del género, que son el avión isabelino (P. fuligula), el avión oscuro (P. concolor) y el avión pálido (Ptyonoprogne obsoleta). El nombre del género se deriva del griego ptuon (φτυον), «abanico», en referencia a la forma de la cola cuando está abierta, y Procne (Πρόκνη), una doncella mitológica que fue transformada en una golondrina. El nombre específico, rupestris significa «de las rocas» y se deriva del latín rupes, «rocas». No se han reconocido subespecies, aunque se propuso la existencia de dos razas, P. r. centralasica y P. r. theresae, la primera habitante de Asia Central y la segunda, de los montes Atlas en Marruecos, pero las mínimas diferencias en tamaño y colorido no tienen un patrón geográfico definido. Se hallaron fósiles de la especie en el estrato del pleistoceno tardío en Bulgaria, y en el centro de Francia en sedimentos de entre 242 000 y 301 000 años de antigüedad.
ANSWER: Ptyonoprogne
The answer to this example can be: ¿Qué género se asigna el avión roquero en 1850?
Here is why: The question addresses the necessary ingredients to get to the answer from the context provided. It asks about the type of the rock plane, which is the given answer.
OK. solve this:
CONTEXT: 24 de diciembre de 2010 El gobierno francés ha recomendado a sus ciudadanos a que abandonen Costa de Marfil, mientras que la Organización de las Naciones Unidas (ONU) teme que el país se dirija a una guerra civil. De acuerdo con las Naciones Unidas, ha habido un incremento en el uso de los métodos de intimidación de la fuerza de seguridad nacional, leal al presidente actual Laurent Gbagbo. La comunidad internacional debe actuar decididamente. Enfatizo nuevamente hoy lo que dije antes: cualquier intento de llevar a la misión de las Naciones Unidas a la sumisión no será tolerada. Cualquier ataque a las Naciones Unidas y sus trabajadores será considerado un ataque a la comunidad internacional", declaró el Secretario General de la ONU, Ban Ki-moon. Asimismo, condenó las medidas intimidatorias llevadas a cabo, como los "secuestros y asesinatos y la propagación de un discurso de odio a través de la corporación de radiodifusión estatal". Entre tanto, el gobierno de Nicolas Sarkozy urgió a sus ciudadanos a que abandonen el país. "Le pedimos a aquellos que puedan, que abandonen Costa de Marfil temporalmente hasta que la situación se normalice", anunció un portavoz gubernamental, François Baroin. El sábado, Gbagbo ordenó a la ONU y a las fuerzas de paz francesas a que abandonaran el país. "El gobierno demanda la ida de las fuerzas UNOCI y LICORNE en Costa de Marfil y se opone a cualquier renovamiento de su mandato", afirmó Gbagbo en un comunicado nacional. Gbagbo se autoproclamó vencedor de las elecciones del 28 de noviembre, aunque el líder de la oposición, Alassane Ouatara, había ganado de acuerdo con el escrutinio de la segunda vuelta. Sin embargo, el Consejo Constitucional revocó los resultados. No obstante, la ONU y Francia reconocieron como vencedor a Ouattara, pero Gbagbo se rehusó a abandonar el poder, y con ayuda del Consejo Constitucional anuló suficientes votos para proclamarse vencedor de las elecciones. Gbagbo ofreció que varias entidades investiaran los resultados de los elecciones, pero Ouattara rechazó la oferta, diciendo que "hemos terminado con estos juegos". "Estoy preparado para aceptar un comité liderado por la Unión Africana [y] que involucre ECOWAS, la Liga Árabe, las Naciones Unidas, Estados Unidos, la Unión Europea, Rusia y China, que podrán analizar objetivamente los hechos del proceso electoral [...] para resolver esta crisis pacíficamente", había declarado Gbagbo. Pero la ONU anunció que no planeaba retirarse del país, declarando que "el presidente electo es Ouattara y no nos ha pedido que nos vayamos", y reafirmó su intención de "continuar monitoreando y documentando cualquier violación de los derechos humanos, incitación al odio y la violencia, o ataques a fuerzas de paz de la ONU". El sábado, un convoy de la ONU y la sede de la misión en el país en Abidjan fueron atacados por individuos enmascarados y con uniformes militares. Nadie fue herido en el ataque, y no pudieron aprehender a los perpetradores.
ANSWER: con ayuda del Consejo Constitucional
Answer: | ¿Cómo ganó los comicios Gbagbo? | 8 | NIv2 | task1335_sqac_question_generation | fs_opt | [
0.7903662323951721,
0.24923887848854065,
-0.4817841053009033,
-0.19500409066677094,
0.36028510332107544,
0.01731167733669281,
0.9889962673187256,
1.0602190494537354,
-0.22703514993190765,
-0.025891698896884918,
-0.5482771396636963,
0.5636495351791382,
-0.4509391486644745,
0.017524793744087... |
Teacher:Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: Krasnenkovはオルロフの発言はチェチェンの不安定を煽っていると述べ、記者に「人権擁護者は哀れな人々だ」と語った。
Student: | Krasnenkov ໄດ້ເວົ້າວ່າຄຳເວົ້າຂອງ Orlov ໄດ້ຊ່ວຍໃຫ້ປັ່ນປ່ວນ Chechnya ແລະ ໄດ້ບອກກັບນັກຂ່າວວ່າ "ຜູ້ປົກປ້ອງສິດທິມະນຸດ ແມ່ນຜູ້ທີ່ເດືອດຮ້ອນ." | 6 | NIv2 | task1124_alt_ja_lo_translation | zs_opt | [
0.178416907787323,
0.2257724106311798,
-0.5027984380722046,
-0.9788092970848083,
-0.2934921979904175,
-0.2721184492111206,
1.0118026733398438,
0.5329181551933289,
-0.575928807258606,
-0.7279108166694641,
-0.6104997396469116,
-0.04146658629179001,
-1.1934473514556885,
0.19450163841247559,
... |
Part 1. Definition
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Part 2. Example
Italy have defeated Portugal 31-5 in Pool C of the 2007 Rugby World Cup at Parc des Princes, Paris, France.
Answer: 2007 में फ़्रांस, पेरिस के पार्क डेस प्रिंसेस में हुए रग्बी विश्व कप के पूल C में इटली ने पुर्तगाल को 31-5 से हराया।
Explanation: This is a correct and accurate translation from English to Hindi because translated text is just paraphrased of English sentence. Also, it preserves the numbers as it is.
Part 3. Exercise
This comes after the Chinese unblocking of the all other language variations of Wikipedia in April.
Answer: | यह खबर अप्रैल में चीन द्वारा विकिपीडिया के अन्य सभी भाषा विविधताओं की अनब्लॉकिंग के बाद आई है। | 7 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
0.2806350886821747,
1.1223053932189941,
-0.15815171599388123,
0.4810595214366913,
-0.11922143399715424,
-0.2271295040845871,
0.2621202766895294,
0.569231390953064,
0.13075624406337738,
-0.3665470778942108,
-0.772967517375946,
0.23938369750976562,
-0.15762640535831451,
0.39128702878952026,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Example input: وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة مرة أخرى للتأكد.
Example output: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوباره حک شود تا مورد بازبینی قرار گیرد.
Example explanation: The Arabic sentence is correctly translated into Farsi, because the meaning is preserved.
Q: التحدث محفوف بالمخاطر ، لكن هذه الأدوات ستُخفّض مُخاطرة التحدث عنك.
A: | ابراز عقیده کردن یه رفتار پرخطره ، اما این ابزارها خطرات رو کمتر میکنن. | 3 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.5363941192626953,
0.5830763578414917,
-0.8026834726333618,
-0.3694455623626709,
-0.02993050217628479,
0.16794763505458832,
1.0330653190612793,
-0.12503832578659058,
0.02100556343793869,
-0.3945300877094269,
-1.043436884880066,
0.42093589901924133,
-0.1676248013973236,
0.3135169148445129... |
TASK DEFINITION: In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the index of first word is 1.
PROBLEM: A toilet in the bathroom sitting a beside trash can
SOLUTION: (7, 8)
PROBLEM: a woman making pizza a that sits in front of her
SOLUTION: (4, 5)
PROBLEM: A little girl by standing an elephant behind a rail
SOLUTION: | (4, 5)
| 8 | NIv2 | task089_swap_words_verification | fs_opt | [
0.03624526038765907,
0.7113178968429565,
-0.2752825617790222,
-0.49251991510391235,
-0.08172562718391418,
-0.14694085717201233,
0.16526757180690765,
0.2892434895038605,
0.03982578217983246,
-0.1935044229030609,
0.20280076563358307,
-0.08369509875774384,
-0.14522868394851685,
0.068251401185... |
Teacher: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether The Tail is the intention of the PersonX from the Head or not. The intention is the likely intent or desire of PersonX behind the execution of an event. For example, given the Head PersonX gives PersonY gifts, an intention might be that PersonX wanted to be thoughtful. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Head: PersonX plays a song<sep>Tail: to hear music.
Solution: Yes
Reason: This is a good example. PersonX plays a song because PersonX wanted to hear music.
Now, solve this instance: Head: PersonX arrives home that ___<sep>Tail: determined
Student: | No | 2 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
1.5592820644378662,
-0.15497086942195892,
-0.1654520034790039,
0.1627313196659088,
-0.29124006628990173,
-1.3117024898529053,
1.4864625930786133,
0.546678900718689,
-1.005286693572998,
0.09125036001205444,
-0.05699042230844498,
-0.43504440784454346,
-0.8118960857391357,
-0.1689886599779129... |
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversion" based on your judgment.
Q: I poured another shot , but Shaya reached for it .
A: | Original | 4 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.6309855580329895,
1.061693787574768,
0.4395638704299927,
-0.1102692112326622,
-0.14452432096004486,
-0.34119218587875366,
0.5454360842704773,
0.6532757878303528,
0.13505002856254578,
-0.0823156088590622,
-0.5618401765823364,
-0.4048529863357544,
-0.9976056218147278,
-0.20355752110481262... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and report that option.
Q: Question: An article is bought for Rs.675 and sold for Rs.1215, find the gain percent?
Option A: 33 1/9%
Option B: 33 8/3%
Option C: 33 1/3%
Option D: 33 2/3%
Option E: 80%
A: Option E
****
Q: Question: A started a business with an investment of Rs. 70000 and after 3 months B joined him investing Rs. 120000. If the profit at the end of a year is Rs. 43000, then the share of B is?
Option A: 33888
Option B: 36000
Option C: 27778
Option D: 27772
Option E: 81122
A: Option B
****
Q: Question: There are 15 slate rocks, 20 pumice rocks, and 10 granite rocks randomly distributed in a certain field. If 2 rocks are to be chosen at random and without replacement, what is the probability that both rocks will be slate rocks?
Option A: 1/3
Option B: 7/22
Option C: 1/9
Option D: 7/66
Option E: 2/45
A: | Option D
****
| 4 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.6307374238967896,
0.650892972946167,
-0.5167347192764282,
0.39998769760131836,
-0.17423303425312042,
0.14542531967163086,
0.4912096858024597,
1.0827586650848389,
-0.02914533205330372,
0.018632149323821068,
-0.5990920066833496,
0.4702686071395874,
-0.5973545908927917,
0.051875025033950806... |
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', corresponding to the choice number of the selected sentence. If sentence X agrees with sentence Y, one's correctness follows from the other one. If sentence X disagrees with sentence Y, they can not be correct at the same time.
Statement: Two split logs studded with large nails would work nicely. Choices: 1. The two split logs have no use. 2. The two split logs studded with large nails would make for great weapons. 3. The two split logs covered with large nails would work nicely in this situation. | 2 | 0 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
-0.10795386135578156,
0.34802937507629395,
-0.1416976898908615,
0.19792629778385162,
0.04498990625143051,
-0.48743170499801636,
0.30186107754707336,
0.9892271161079407,
0.008325349539518356,
0.323413610458374,
-0.34154337644577026,
-0.09468778967857361,
-0.18139007687568665,
-0.55468833446... |
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