inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1 value | _task_name stringlengths 19 85 | _template_type stringclasses 2 values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then some input of the task.
In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
Question: After a car accident, Carla gained a lot of blood. At the hospital, the doctors tell her that her blood pressure is now
Answer: increased
Output: | If blood volume in the body decreases, blood pressure decreases. | 1 | NIv2 | task223_quartz_explanation_generation | zs_opt | [
-0.44568735361099243,
0.7273744344711304,
-0.06410576403141022,
-0.4128192365169525,
-0.11859817057847977,
-0.4217146933078766,
1.2874290943145752,
0.9609524011611938,
0.3462042808532715,
-0.5777976512908936,
-0.2186886966228485,
-0.019892442971467972,
-0.08322327584028244,
0.2251079380512... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Let me give you an example: Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os homes seguen a ser os que controlan as rúas.
The answer to this example can be: وقتی به این جامعه های در حال توسعه می روید زنها رکن اصلی اجتماعشان هستند ولی هنوز این مردها هستند که خیابون ها رو در دست دارند.
Here is why: The Galician sentence is correctly translated into Farsi, because the meaning is preserved.
OK. solve this:
e, para iso, necesitan unha educación occidental.
Answer: | و برای انجام آن ، به آموزش غربی نیاز دارند. | 8 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-1.0367317199707031,
0.934870719909668,
-0.10376691818237305,
-0.5780537128448486,
-0.1957220733165741,
-0.5047765970230103,
0.6170238852500916,
0.6657393574714661,
-0.15899232029914856,
-0.09299398958683014,
-1.0695022344589233,
0.5364518165588379,
-0.3582766354084015,
-0.0058423802256584... |
Instructions: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Input: Who is elected as vice president of india?
Output: | Who is elected as vice president of india in 2017? | 3 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
-0.6122006177902222,
0.38866671919822693,
0.3291746973991394,
0.9567916393280029,
0.12698204815387726,
-0.19425642490386963,
0.46144169569015503,
-0.03870805352926254,
0.02322683110833168,
0.11098755896091461,
-0.3293324410915375,
-0.393596887588501,
-0.38876980543136597,
0.387092083692550... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Sentence 1: However, DOD policy still lacks criteria to be used to capture specific design and manufacturing knowledge and does not require the use of that knowledge as exit criteria at key decision points to transition from system integration to system demonstration and then into production. Sentence 2: Did policy lacks nothing, it is tight and inclusive. Choices: 1. FACE-TO-FACE, 2. GOVERNMENT, 3. LETTERS, 4. 9/11, 5. SLATE, 6. TELEPHONE, 7. TRAVEL, 8. VERBATIM, 9. OUP, 10. FICTION. | 1 | 0 | NIv2 | task198_mnli_domain_classification | zs_opt | [
-0.6169968843460083,
0.19979313015937805,
0.38562172651290894,
-0.4430951476097107,
-0.27243876457214355,
0.37338560819625854,
-0.02201044000685215,
1.0052878856658936,
-0.4396476149559021,
0.33895623683929443,
-0.43703144788742065,
-0.9503483772277832,
-0.19184082746505737,
-0.61735999584... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
--------
Question: How much in money in dollars did the player nicknamed The King win ?
Answer: WRB JJ IN NN IN NNS VBD DT NN VBD DT NNP NN .
Question: In the Paralympics that featured 447 athletic events , who was the Gold winner for the Men 's 200m C8 ?
Answer: IN DT NNPS WDT VBD CD JJ NNS , WP VBD DT NNP NN IN DT NNP POS CD NNP .
Question: How far is this city that has a federal building designed by Oscar Wenderoth from the Florida border ?
Answer: | WRB RB VBZ DT NN WDT VBZ DT JJ NN VBN IN NNP NNP IN DT NNP NN .
| 7 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
-0.3271319270133972,
0.6381478309631348,
-0.4973174035549164,
0.35381484031677246,
-0.31866899132728577,
-0.32034164667129517,
0.7754985690116882,
0.6861993074417114,
-0.29914525151252747,
-0.3004152774810791,
-0.6787062883377075,
0.9301460981369019,
-0.7638694047927856,
-0.090729102492332... |
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? If you are still confused, see the following example:
Sentence: GOP leaders submitted the new offer Tuesday afternoon in an effort to appease Democrats, whose votes are needed to avert a shutdown of federal agencies, several House and Senate aides said. Question: Who has to be appeased to keep the government open?
Solution: Yes.
Reason: The sentence says that "the Democrats" have to be appeased, which answers the question. So, the correct label should be "Yes".
Now, solve this instance: Sentence: This made her bike sound much faster than it was going.
Question: Why did Maggie put a card in the wheel of her bike?
Student: | Yes. | 2 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.2336292415857315,
0.10139414668083191,
-0.04358867183327675,
0.25777801871299744,
-0.20851045846939087,
-1.1482126712799072,
0.37433478236198425,
0.8024320602416992,
0.5046318769454956,
0.13776402175426483,
-0.2118295580148697,
0.05760863795876503,
0.2078702449798584,
-0.298384726047515... |
In this task your given two statements in Chinese. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: 我昨天在健身房锻炼。
我今天醒来时肌肉酸痛。
A: | effect | 4 | NIv2 | task1185_xcopa_commonsense_cause_effect_zh | zs_opt | [
-0.4598449170589447,
0.4156021773815155,
-0.34427815675735474,
-0.5924347639083862,
0.07587527483701706,
0.024804696440696716,
0.028265755623579025,
0.8978433609008789,
0.5568100810050964,
-0.7500619292259216,
-0.7802016139030457,
0.05806597322225571,
-0.25313612818717957,
0.22475364804267... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
ここオーストラリアでは、女子スポーツ、特に一般的な女子ナショナルチームに対する関心が大きくなっています。
Output: | There is a growing interest in women's sports, especially women's national teams in general here in Australia. | 1 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
0.061646461486816406,
0.228617861866951,
0.2324327677488327,
-0.604300856590271,
0.48299285769462585,
0.46915990114212036,
0.5232199430465698,
0.5194109082221985,
-0.014501499012112617,
-0.6196273565292358,
-0.3612201511859894,
-0.1698758453130722,
-0.5228022336959839,
-0.23844438791275024... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Input: Ma per andare da dove mi trovavo a dove avrei voluto essere, avevo bisogno di qualcosa.
Output: | اما برای رفتن از جایی که بودم به جایی که می خواستم باشم به چیزی نیاز داشتم. | 3 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
0.37351474165916443,
0.9365081787109375,
-0.9790298342704773,
0.08646503835916519,
-0.08429265767335892,
-0.20218884944915771,
-0.5682978630065918,
0.5187055468559265,
-0.1256103813648224,
0.13243764638900757,
-0.949169397354126,
-0.12474530190229416,
-0.9930306673049927,
-0.11826267838478... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Example: [7, 9, 2, 8]
Output: [22, 28, 1, 4]
The odd numbers, seven and nine, were multiplied by three and added one. The even numbers, two and eight, were divided by two. So this is a good example.
New input case for you: [65, 128, 60]
Output: | [196, 64, 30] | 1 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.16102640330791473,
0.7785208225250244,
-0.3942646384239197,
-0.314203143119812,
0.06095360964536667,
-0.06018093600869179,
0.7248915433883667,
0.6555079221725464,
0.16540098190307617,
0.16594760119915009,
-0.4255109429359436,
-0.23607037961483002,
-0.4656824469566345,
-0.234045922756195... |
You will be given a definition of a task first, then some input of the task.
Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise
The site collects your user profile for an additional (non-basic) service or feature. Collection happens in an unspecified way for a user type outside of our label scheme, and your data is aggregated or anonymized.
Output: | Additional service/feature | 1 | NIv2 | task683_online_privacy_policy_text_purpose_answer_generation | zs_opt | [
-0.9765433073043823,
-0.1466677188873291,
-0.7739803791046143,
0.05685210973024368,
-0.1757926493883133,
-0.7281187772750854,
0.04765740782022476,
0.12073510885238647,
0.05902805179357529,
0.8739873170852661,
0.3979666233062744,
-0.26471370458602905,
-0.5748769640922546,
-0.523746609687805... |
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: Both vehicles collided with lemon trees at an orchard near the intersection of Avenue 424 and Road 120 in Dinuba.
Output: | 2台はともに、ディニューバの424通りと120道との交差点の近くにある果樹園のレモンの木に衝突した。 | 2 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
-0.2277756631374359,
0.1012045219540596,
0.3705630302429199,
-0.7090022563934326,
0.3433457612991333,
0.426852285861969,
0.350320041179657,
0.13678747415542603,
0.06342829763889313,
-0.27956295013427734,
-0.12428313493728638,
0.18426558375358582,
-0.873060941696167,
0.4314590394496918,
0... |
You will be given a definition of a task first, then some input of the task.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: @cumkwats thank you based pee slit
Label: Neither
Output: | true | 1 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.5730781555175781,
0.5175914168357849,
0.5613499879837036,
0.4114704728126526,
-0.2062232792377472,
-1.1719214916229248,
-0.37455716729164124,
0.6439104080200195,
0.28929051756858826,
0.538334846496582,
-0.27682891488075256,
-0.48491406440734863,
-0.7146751284599304,
-0.7696588039398193,... |
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.
Q: name[xname], eattype[coffee shop], cuisine[French], price[moderate], rating[1 out of 5], location[city centre], familyFriendly[yes]
A: | xname is a French family-friendly coffee shop in the city centre. It is moderately priced and has a customer rating 1 out of 5. | 4 | NIv2 | task1598_nyc_long_text_generation | zs_opt | [
-0.4442310929298401,
0.19226163625717163,
-0.7605056166648865,
-0.40965721011161804,
0.047134898602962494,
0.4593067765235901,
0.7796152830123901,
0.3318149149417877,
0.6347929239273071,
-0.8383987545967102,
0.20238184928894043,
-0.6700910329818726,
-0.3489883840084076,
0.05837802588939667... |
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Let me give you an example: Category: construction
Words: excavator, crane, pelican, hoist, upraise
The answer to this example can be: pelican
Here is why: A pelican is not related to construction because it is a type of bird.
OK. solve this:
Category: emotional display
Words: fawn, buck, expression, pester, suppressed
Answer: | buck | 8 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
0.41609394550323486,
0.6864272356033325,
0.13232070207595825,
0.11807739734649658,
0.017077110707759857,
0.15311020612716675,
0.45137619972229004,
0.172297865152359,
0.339511901140213,
-0.3417947292327881,
-0.9338043928146362,
0.318120539188385,
-0.6686693429946899,
0.3826431632041931,
-... |
Instructions: Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong) and NOBODY (if no one is wrong in the situation).
Input: Throwaway bc some people in my dorm know my main acct. Formatting may be weird bc I'm on mobile.
For some background, I live in a fairly large dorm room. However, our actual shower/toilet area is very small. So, my roommate and I decided to get one of those extendable rod things to place in the door way of our sink area to create a kind of makeshift dressing room so we don't have to struggle to put on our underwear in our tiny bathroom. Oh, and we're both female.
My roommate recently started dating this guy, and he's in our dorm pretty much 24/7. I'm rarely in my dorm during the day so I don't care too much. He sometimes sleeps over in her bed, and again, I don't really care either way.
The only thing I ask of my roommate is that if Im showering, I prefer him to not be in our room, just because Im a fairly private person and don't feel comfortable being naked with what's basically a stranger in my room.
To her credit, she followed this for a few days, but after a while, I would come out the shower and I would notice that he had entered the room while I was showering. I approached her about it and reminded her of how I felt, and she kind of blew up at me, saying that he wasn't some perv and wasn't trying to see me naked.
I was taken aback, since me and my roommate have never really argued over anything, and I didn't think that what I asked was that unreasonable.
So, AITA for not wanting a guy that I don't really know be in the room as I shower?
Output: | OTHER | 3 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | zs_opt | [
0.0599818229675293,
0.8084416389465332,
-0.5162246227264404,
0.286639928817749,
-0.10255881398916245,
-0.3911093771457672,
-0.10052560269832611,
0.2533300518989563,
0.44167235493659973,
-0.0018398503307253122,
-0.04134432226419449,
0.7192862033843994,
-0.8753719329833984,
-0.34546667337417... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Q: Tagalog sentence: 16:1 Magdidiwang ka sa buwan ng Abib, at ipangingilin ang paskua sa Panginoon mong Dios: sapagka't sa buwan ng Abib inilabas ka ng Panginoon mong Dios sa Egipto sa gabi.
A: | 16:1 Observe the month of Abib, and keep the Passover to Yahweh your God; for in the month of Abib Yahweh your God brought you forth out of Egypt by night. | 4 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
0.11007752269506454,
0.643375039100647,
-0.32668614387512207,
-0.061499178409576416,
-0.9307430982589722,
-0.14511215686798096,
0.4109736979007721,
0.3526105582714081,
0.01310729794204235,
0.2671465277671814,
-0.06298577785491943,
0.07652151584625244,
-1.095545768737793,
0.1602906286716461... |
Instructions: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Input: When did women get the right to vote in canada?
Output: | When did women get the right to vote in Manitoba, Saskatchewan, and Alberta Canada? | 3 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
-0.3453270196914673,
0.7232401967048645,
-0.26336008310317993,
0.06119821220636368,
0.4483387768268585,
-0.7509551644325256,
0.3227284848690033,
0.8492035865783691,
0.5687682628631592,
0.3543824255466461,
-0.2549453675746918,
-0.2725899815559387,
0.03205890208482742,
-0.5659551024436951,
... |
Given the task definition and input, reply with output. In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Sentence: 'four bowls two containing veggies fruits and a pasta dish with a fifth container of salad dressing'. How many words end with the letter 'r' in the sentence.
| 2 | 5 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
-0.6032469272613525,
0.957759439945221,
0.5846299529075623,
0.45379480719566345,
-0.5549567937850952,
0.7592456340789795,
0.20590779185295105,
0.3688185214996338,
0.010858103632926941,
-0.8937170505523682,
-0.21216973662376404,
-0.21969738602638245,
-0.368990421295166,
0.47020167112350464,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surprise', 'happiness', 'sadness', 'anger', 'disgust'.
Person1: Hey man, you wanna buy some weed?
Person2: Somewhat?
Person1: Weed! You know ? Pot , Ganja , Mary Jane some chronic !
Person2: Oh , umm , no thanks .
Person1: I also have blow if you prefer to do a few lines .
Person2: No , I am ok , really .
Person1: Come on man ! I even got dope and acid ! Try some !
Person2: Do you really have all of these drugs ? Where do you get them from ?
Person1: I got my connections ! Just tell me what you want and I ’ ll even give you one ounce for free .
Person2: Sounds good ! Let ’ s see , I want .
Person1: Yeah ?
Person2: I want you to put your hands behind your head ! You are under arrest!
Solution: fear, disgust, fear, happiness, fear, happiness, fear, disgust, fear, happiness, disgust, fear
Why? The conversation happened between the two people contains the emotions fear, disgust, and happiness. Therefore the labels are in the order.
New input: Person1: Good afternoon.can I be of any assistance to you ?
Person2: Yes , I am looking for a suit .
Person1: Here are the suits . Which one would you like ?
Person2: Can I have a black one over there ?
Solution: | No emotion,No emotion,No emotion,No emotion | 0 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.2815691828727722,
-0.03426371514797211,
-0.4611535668373108,
-0.4788123667240143,
0.2016502022743225,
-0.6940767765045166,
0.9312224388122559,
0.5908764600753784,
-0.46109864115715027,
-0.1484246850013733,
-0.7069079875946045,
-0.33755409717559814,
-0.5228695869445801,
0.2149231433868408... |
Instructions: 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.
Input: 54716
Output: | No | 3 | NIv2 | task092_check_prime_classification | zs_opt | [
-0.08747323602437973,
0.5843458771705627,
-0.031376585364341736,
-0.4876006841659546,
-0.3830929696559906,
0.07025541365146637,
0.5041335821151733,
0.7466775178909302,
0.013383042067289352,
0.1974843293428421,
-1.0300118923187256,
-0.20774711668491364,
-0.29098471999168396,
-0.464965373277... |
Definition: A text is given in Panjabi. Translate it from the Panjabi language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: స్టార్ట్-అప్ సహకారం అంశం పై భారతదేశం మరియు రిపబ్లిక్ ఆఫ్ కొరియా కు మధ్య అవగాహన పూర్వక ఒప్పంద పత్రాని కి (ఎంఒయు) ప్రధాన మంత్రి శ్రీ నరేంద్ర మోదీ అధ్యక్షత న సమావేశమైన కేంద్ర మంత్రివర్గం ఎక్స్- పోస్ట్ ఫ్యాక్టో ఆమోదం తెలిపింది.
Output: | ਪ੍ਰਧਾਨ ਮੰਤਰੀ, ਸ਼੍ਰੀ ਨਰੇਂਦਰ ਮੋਦੀ ਦੀ ਪ੍ਰਧਾਨਗੀ ਹੇਠ ਕੇਂਦਰੀ ਮੰਤਰੀ ਮੰਡਲ ਨੇ ਸਟਾਰਟਅੱਪ ਸਹਿਯੋਗ ਬਾਰੇ ਭਾਰਤ ਅਤੇ ਕੋਰੀਆ ਗਣਰਾਜ ਦਰਮਿਆਨ ਸਹਿਮਤੀ ਪੱਤਰ ਨੂੰ ਆਪਣੇ ਕਾਰਜ ਉਪਰੰਤ ਪ੍ਰਵਾਨਗੀ ਦੇ ਦਿੱਤੀ ਹੈ । ਇਸ ਸਹਿਮਤੀ ਪੱਤਰ ‘ਤੇ ਫਰਵਰੀ 2019 ਵਿੱਚ ਦਸਤਖਤ ਕੀਤੇ ਗਏ ਸਨ । | 2 | NIv2 | task1066_pib_translation_telugu_punjabi | zs_opt | [
0.05543731525540352,
-0.38400521874427795,
0.04965469241142273,
-0.058649975806474686,
0.11683080345392227,
-0.29405832290649414,
0.05816297233104706,
0.9696180820465088,
0.15972860157489777,
0.0499892383813858,
-0.23320084810256958,
-0.6943094730377197,
0.1413218080997467,
0.6157398819923... |
Detailed Instructions: Given a scientific passage and an answer, generate a question for the given answer.
Q: Passage: Chemistry in Everyday Life CERN Particle Accelerator Located near Geneva, the CERN (“Conseil Européen pour la Recherche Nucléaire,” or European Council for Nuclear Research) Laboratory is the world’s premier center for the investigations of the fundamental particles that make up matter. It contains the 27-kilometer (17 mile) long, circular Large Hadron Collider (LHC), the largest particle accelerator in the world (Figure 21.13). In the LHC, particles are boosted to high energies and are then made to collide with each other or with stationary targets at nearly the speed of light. Superconducting electromagnets are used to produce a strong magnetic field that guides the particles around the ring. Specialized, purpose-built detectors observe and record the results of these collisions, which are then analyzed by CERN scientists using powerful computers. Answer: particle accelerator
A: | The large hadron collider is the biggest type of what invention, which boosts particles to high energies? | 9 | NIv2 | task594_sciq_question_generation | zs_opt | [
0.0263635516166687,
0.741268515586853,
-0.19942723214626312,
0.04805950075387955,
0.8869317770004272,
-0.287605881690979,
-0.7043938636779785,
0.23202259838581085,
0.6507944464683533,
-0.3398381471633911,
-0.6109600067138672,
0.2817629277706146,
-0.6338937282562256,
0.17105868458747864,
... |
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Example input: The debate is closed.
Example output: Jag förklarar debatten avslutad.
Example explanation: English sentence is properly converted into Swedish sentence.
Q: Gender has in fact been included in the compulsory introductory course for new employees, but then with only one to two hours devoted to it on each course.
A: | Det har hänt att gender har ingått i den obligatoriska introduktionskursen för nyanställda, men då bara en till två timmar per kurs. | 3 | NIv2 | task313_europarl_en_sv_translation | fs_opt | [
-0.7097324132919312,
0.6770874261856079,
0.06464395672082901,
-0.9284799098968506,
0.13696157932281494,
-0.20921048521995544,
0.6939928531646729,
0.1560402512550354,
0.8892337679862976,
0.11006093770265579,
-0.25073355436325073,
0.5036889910697937,
-0.6728388071060181,
-0.14432135224342346... |
TASK DEFINITION: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
PROBLEM: Context: Aubrey made Kendall's bed because Kendall was in a rush to go to the airport.
Answer: clear the bed
SOLUTION: What does Aubrey need to do before this?
PROBLEM: Context: Sasha hiked, fished, and camped and enjoyed many outdoor activities.
Answer: outdoorsy
SOLUTION: How would you describe Sasha?
PROBLEM: Context: Bailey saw ducks in the wild and grabbed her phone to capture the moment.
Answer: get closer next
SOLUTION: | What will Bailey want to do next?
| 8 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
-0.1737845540046692,
0.6716350317001343,
-0.3090578317642212,
-0.96616530418396,
-0.3202821612358093,
0.37413913011550903,
0.7011801600456238,
0.14206618070602417,
0.17381244897842407,
0.4862224757671356,
-0.13811837136745453,
0.5490593314170837,
-0.7382481098175049,
0.03928360342979431,
... |
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, PersonX will be seen as what is mentioned in the Tail or not. In this task, PersonX will be seen as the Tail if the Tail describes PersonX's persona or attribute as perceived by others given an event. In the gift-giving example, X may be seen as generous or giving. In contrast, in an event such as PersonX steals a car, PersonX may be perceived as evil. 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.
[EX Q]: Head: PersonX attends school<sep>Tail: scholarly
[EX A]: Yes
[EX Q]: Head: PersonX accepts PersonY offer<sep>Tail: to gain something
[EX A]: No
[EX Q]: Head: PersonX assumes another ___<sep>Tail: THAT IS WORK
[EX A]: | No
| 6 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.6731188893318176,
-0.3059239387512207,
0.2503843307495117,
-0.3881857991218567,
-0.07019351422786713,
-1.0455210208892822,
0.7147031426429749,
0.8489949703216553,
-1.083735466003418,
-0.33313024044036865,
-0.18077608942985535,
-0.4898093044757843,
-0.30013561248779297,
0.0867735296487808... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Italian.
See one example below:
Problem: Why? Because that profit allows whatever solution we've created to be infinitely scalable.
Solution: Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducibile su scala.
Explanation: The English sentence is correctly translated into Italian, because the meaning is preserved.
Problem: TR: Yeah, of course. (Applause) BM: In spite of being arrested, beaten up, threatened, the moment I discovered my voice, that I could actually stand up for what I really believed in, I'm no longer afraid.
Solution: | TR: Sì, certo. (Applausi) BM: Invece di essere arrestato, picchiato, minacciato, dal momento in cui ho scoperto la mia voce, in cui ho potuto alzarmi per ciò in cui credevo, non ho più paura. | 4 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
0.2673530578613281,
0.9401765465736389,
0.25770702958106995,
0.05767105892300606,
-0.24704435467720032,
-0.6242952346801758,
0.4085448384284973,
0.9784190654754639,
0.1835397481918335,
0.0725037157535553,
-0.17566508054733276,
0.8060776591300964,
-0.7714040279388428,
0.022448185831308365,
... |
Q: In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Statement: Lawrence, the younger, had been a delicate youth. Choices: 1. Lawrence was a hardy young man. 2. Lawrence was sheltered. 3. The younger Lawrence was a fragile youth.
A: | 1 | 7 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
0.531997799873352,
0.30016255378723145,
-0.02323896810412407,
-0.5938536524772644,
-0.2544287443161011,
-1.1874792575836182,
0.30195122957229614,
0.8357264995574951,
0.0031207555439323187,
0.02961122989654541,
-0.26752376556396484,
-0.12178235501050949,
-0.8028754591941833,
-0.851908922195... |
Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Input: Comment: Covfefe.
Output: | Non-toxic | 3 | NIv2 | task327_jigsaw_classification_toxic | zs_opt | [
-0.5262407064437866,
0.5898772478103638,
0.5925188660621643,
-0.16703230142593384,
-0.08740511536598206,
-0.44700947403907776,
0.880369246006012,
0.271272748708725,
0.49487966299057007,
0.38215702772140503,
0.05408923700451851,
-0.11341948807239532,
-0.5841265916824341,
-1.1196279525756836... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form " A >Motivates> B". Try to use phrases and sentences from the story to compose your answer when possible. For the motivation sentence, you must choose a verb from :feel(s), want(s) or like(s). There will always be some motivation in the given story.
Example: story: Rita loved riding her bike down the trails of the state park. While she was riding, she came across a bear. She immediately hit a side path. She pedaled as fast as she could out of the state park. Rita will now only go on the trails when she is with friends.
selected sentence: Rita will now only go on the trails when she is with friends.
Output: Rita feel(s) scared >Motivates> Rita will only go on the trails with her friends
The story is about Rita being scared in her experience, so the answer is correct.
New input case for you: story: Jack had been eyeing a prize in his teacher's prize box all year. But Bill earned a trip to the prize box first. Bill picked the prize he knew Jack had wanted! When Bill saw how sad Jack looked, he felt guilty. Bill felt much better after he decided to give Jack the prize.
selected sentence: When Bill saw how sad Jack looked, he felt guilty.
Output: | Billy feel(s) regret >Motivates> Bill feels guilty | 1 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.04294662922620773,
0.4165094792842865,
-0.2458515763282776,
0.626804769039154,
-0.16604533791542053,
-0.725051999092102,
-0.012204858474433422,
0.7686671018600464,
-0.2275189757347107,
-0.31616753339767456,
-0.5587331056594849,
-0.2807233929634094,
0.265701025724411,
-0.297021746635437,
... |
Teacher:Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Teacher: Now, understand the problem? Solve this instance: name an expensive liquid.
Student: | alcohol | 6 | NIv2 | task820_protoqa_answer_generation | zs_opt | [
0.06649595499038696,
0.9209831953048706,
0.45044317841529846,
-0.8559146523475647,
-0.20567524433135986,
-0.8050137162208557,
0.2686220109462738,
0.9261720180511475,
0.191960871219635,
-0.2994661033153534,
0.3148440420627594,
-0.0861901342868805,
-0.7055139541625977,
-0.788989782333374,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
[Q]: Nie ma to jednak żadnego znaczenia, ponieważ wierzymy anegdotom, wierzymy w to, co widzimy, co się nam wydaje że widzimy, co sprawia, że czujemy się prawdziwi.
[A]: זה לא משנה, זה לא משנה כי אנחנו מאמינים באנקדוטות, אנחנו מאמינים במראה עינים, במה שאנחנו חושבים שאנחנו רואים, במה שמרגיש לנו אמיתי.
[Q]: Uderzyć w te... głębsze... psychiczne, emocjonalne, duchowe nurty, orgazm też jest lepszy, kiedy się go buduje.
[A]: מתחברים הרי לזרמים עמוקים יותר, לזרמים פסיכולוגים, רגשיים, רוחניים, וכל זה מצטבר ובונה אורגזמה טובה יותר.
[Q]: Nowe miasta, takie jak Dubaj, czy starożytne, jak Rzym, ze wspaniałym muzeum MAXXI projektu Zahy Hadid. Lub zielona estakada High Line w Nowym Jorku, Ma ona ogromny wpływ na charakter miasta.
[A]: | אני חושב על ערים חדשות כמו דובאי או עתיקות כמו רומא עם מוזיאון MAXXI המדהים של זאהה חדיד, או כמו כאן בניו יורק, עם קו הרקיע הגבוה כרך אשר הושפע כל כך על ידי הפיתוח הזה.
| 5 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.551134467124939,
0.05668170005083084,
0.4279654026031494,
-0.3251672089099884,
-0.6185516119003296,
-0.7504678964614868,
0.8744199275970459,
0.10595431923866272,
0.6247930526733398,
-0.6697533130645752,
-0.678372323513031,
0.8898860216140747,
-0.9023489952087402,
0.09112201631069183,
... |
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 sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
i am ever feeling nostalgic about the fireplace i will know that it is still on the property
Solution: love
Why? The word "nostalgic" could either indicate "love" or "sadness", but the fact that it is still on the property eliminates "love".
New input: i never thought id feel so much as a jot of sympathy for hussein whom i always viewed as a jumped up petty thug whatever my thoughts may be about actions against his administration
Solution: | anger | 0 | NIv2 | task875_emotion_classification | fs_opt | [
-0.4159618616104126,
0.211068794131279,
0.5008456707000732,
-0.3047105669975281,
0.44531702995300293,
-0.3429234027862549,
1.8157761096954346,
0.5480436086654663,
0.12470313906669617,
-0.21413131058216095,
-0.4487251341342926,
-0.04310516268014908,
-0.6796388626098633,
0.24474602937698364,... |
Q: In this task, you are given a sentence in Persian, and your task is to translate it into English.
.
A: | We want to hear from you. | 7 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-0.3528236150741577,
1.2426499128341675,
-0.3132662773132324,
-0.41312551498413086,
-0.39242368936538696,
-0.7990428805351257,
-0.15104815363883972,
0.6102651357650757,
0.26610684394836426,
-0.16174912452697754,
0.6606289148330688,
0.6567972898483276,
-0.22401924431324005,
0.44793605804443... |
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Example input: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more.
Example output: ten
Example explanation: Snakes give birth to minimum ten young ones so ten is a correct answer.
Q: Plant cells have ____ major parts.
A: | four | 3 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.5516652464866638,
0.7221109867095947,
-0.17075666785240173,
-0.14244773983955383,
0.12439854443073273,
-0.7145668268203735,
0.8011804819107056,
0.508245587348938,
-0.5334529876708984,
0.3211781978607178,
0.5242081880569458,
0.5331162214279175,
-1.238426685333252,
0.07368732243776321,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated.
Passage: Chemists are working on developing a new medication. Bees are dying.
Output: | Unrelated | 1 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
0.0653524249792099,
0.38186508417129517,
-0.3179861903190613,
0.3883263170719147,
0.3063318729400635,
-0.45202696323394775,
0.08373024314641953,
1.3856006860733032,
0.07993131130933762,
0.15994584560394287,
-0.6762244701385498,
-0.2827374339103699,
0.12494112551212311,
-0.2919667959213257,... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
[EX Q]: I quite like it
[EX A]: Do you like the rap music genre?
[EX Q]: I'm a huge film buff.
[EX A]: Do you like to watch movies?
[EX Q]: I'd prefer not to
[EX A]: | Do you like to eat spicy food ?
| 6 | NIv2 | task568_circa_question_generation | fs_opt | [
-0.24191877245903015,
0.3131462335586548,
0.0963151678442955,
0.3668312430381775,
-0.5435863137245178,
-0.07381794601678848,
0.342966228723526,
0.04803982004523277,
-0.2047976404428482,
-0.053309112787246704,
-0.15537887811660767,
-0.9278193712234497,
-1.1069490909576416,
-0.26060351729393... |
The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should be natural language and formal form of each sentence in your language. The output sentence should not be a colloquial form of the input sentence. The generated output should be in natural language which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) Numbers and fully capitalized words like SEPTEMBER, or 10 HOURS *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. 5) Note the input is in sentence case except for special placeholders. Please do the same in your translations.
Example Input: Bákan náà, ilé tí ìjọ kan ṣoṣo tó wà ní erékùṣù náà ti ń ṣèpàdé bà jẹ́, ogójì (40) akéde ló sì wà nínú ìjọ.
Example Output: Additionally, the facility used for meetings by the 40 publishers who make up the only congregation on the island was damaged.
Example Input: Kí la fẹ́ ṣe báyìí?
Example Output: So what we going to do now?
Example Input: Ó sọ̀rọ̀ yìí lásìkò tó ń bá àwọn akọ̀ròyìn ilé akéde sọ̀rọ̀ nílùú Àbújá lẹ́yìn ìpàdé tí ó se pẹ̀lú ààrẹ Muhammadu Buhari.
Example Output: | He made the disclosure, while speaking to State House correspondents, after he met with President Muhammadu Buhari.
| 3 | NIv2 | task1620_menyo20k-mt_yo_en_translation | fs_opt | [
-0.12498714029788971,
0.24077320098876953,
0.039778076112270355,
0.4572795629501343,
0.2599155306816101,
-0.7049293518066406,
0.49366605281829834,
0.8223205804824829,
-0.07712723314762115,
-0.2874371409416199,
-0.10499905794858932,
0.5577874183654785,
-0.5648542642593384,
0.004801140632480... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Ex Input:
Creo que así poderanse facer grandes cousas.
Ex Output:
それにより、素晴らしい結果が表れてくることを信じています。
Ex Input:
No Mar dos Sargazos, un bosque flotante de 3 millóns de millas cadradas está sendo apañado para alimentar vacas.
Ex Output:
800万平方kmのサルガッソ海から牛のエサにするために海藻が刈リ集められています
Ex Input:
Creo que é unha historia da creación igualmente marabillosa.
Ex Output:
| この天地創造のお話も同じように面白い話です
| 1 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.48936423659324646,
0.24125275015830994,
-0.07324805855751038,
-0.10712197422981262,
-0.3016934394836426,
-0.9358830451965332,
-0.0401044636964798,
0.3320160210132599,
-0.7101189494132996,
-0.4285017251968384,
-0.1916847974061966,
0.5107805728912354,
-0.5521137118339539,
0.41675272583961... |
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Example input: Sentence: 'Harry glanced again at the raw looking thing that trembled and choked in the shadow beneath the distant chair.', Argument/Subject 1: 'Harry', Argument/Subject 2: 'raw looking thing'
Example output: glance
Example explanation: The sentence contains the generated relationship - glance, mentioned between two subjects - Harry and raw looking thing
Q: Sentence: 'Canadians should be concerned about comments made by U.S. Ambassador Paul Cellucci warning Canada against ratifying the Kyoto Protocol .', Argument/Subject 1: 'canada', Argument/Subject 2: 'kyoto'
A: | ratify | 3 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.3187580704689026,
0.3752075433731079,
0.16693677008152008,
-0.3722638785839081,
-0.26671531796455383,
-0.8239744305610657,
0.1262500286102295,
0.8712271451950073,
0.15294133126735687,
-0.38765931129455566,
-0.243011936545372,
-0.2746536433696747,
-0.09899581968784332,
0.2441278100013733... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Una cosa assolutamente normale o logica non sarà divertente. | Algo completamente normal o lógico no será divertido. | 0 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.88553386926651,
1.0912349224090576,
-0.002370756585150957,
-0.7672589421272278,
-0.40121233463287354,
-0.3396660089492798,
-0.06880113482475281,
0.501828134059906,
0.5868511199951172,
-1.0684722661972046,
-0.6332851052284241,
-0.13037440180778503,
-0.15071028470993042,
0.002490042243152... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
One example: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Solution is here: Pero comenzamos con la idea de un niño por vez.
Explanation: The Hebrew sentence is correctly translated into Spanish, because the meaning is preserved.
Now, solve this: כתמיד, הייתי שב לבנגלור, ולעתים שותף לדיונים ערים בבתים של חברים, שם היינו דנים בסוגיות שונות בעוד הם מתלוננים מרה על זמני פתיחת הפאב החדשים, שם משקה בד "" כ עולה יותר ממה שהם שילמו לעוזרת-הבית בת ה-14 שלהם.
Solution: | Como siempre, yo regresaba a Bangalore, y a las animadas charlas en casas de amigos, donde discutíamos sobre distintos temas mientras ellos se quejaban sobre los horarios de los pubs, donde un trago cuesta más de lo que ellos pagaban a su mucama de 14 años. | 6 | NIv2 | task1236_ted_translation_he_es | fs_opt | [
-0.49536430835723877,
0.282064288854599,
-0.2913392186164856,
-0.0987844243645668,
-0.8595352172851562,
-0.20032134652137756,
0.9419476389884949,
0.2913009822368622,
0.4640215337276459,
-0.8004810214042664,
-0.019066689535975456,
0.16725876927375793,
-1.2118048667907715,
0.3990738987922668... |
Teacher:Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the third fact. An example of a chain is: "pesticides cause pollution" (given fact) + "pollution can harm animals" (related fact) → "pesticides can harm animals" (connected chain). Avoid creating simple paraphrases of the given fact. While your generated fact should be related to the input fact, they must describe slightly different scientific phenomena. It's okay if your related fact includes some irrelevant information, provided that it has some overlap with the given fact and it contains some words corresponding to the provided topic.
Teacher: Now, understand the problem? Solve this instance: Fact: Some precipitation that falls on land may soak into the ground, becoming groundwater.
Topic: rain precipitation.
Student: | Rain is also known as precipitation. | 6 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
-0.18742521107196808,
1.0372872352600098,
-0.48246586322784424,
-0.5159874558448792,
-0.30835872888565063,
-1.1322696208953857,
0.03650445118546486,
1.2099605798721313,
-0.3208809494972229,
0.03359795734286308,
-1.1101504564285278,
0.6796875,
-0.5410299301147461,
-0.0761377364397049,
0.4... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
(A) 'going out' with my friends 'girlfriend'
(B) not wanting to get the kids any Christmas presents
Output: | B | 1 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.4374845027923584,
0.5969310998916626,
0.17383022606372833,
-0.18589188158512115,
-0.587664783000946,
-0.14094653725624084,
0.374185174703598,
0.8011319637298584,
0.12087053060531616,
0.40894946455955505,
-0.17108353972434998,
-0.1494607925415039,
0.3494151830673218,
-0.6839127540588379,... |
Definition: Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Input: sostener una idea es para un individuo.
Output: | Crear una idea es para una iniciativa. | 2 | NIv2 | task417_mickey_es_sentence_perturbation_generation | zs_opt | [
-0.03775245323777199,
0.6788123846054077,
-0.07256557792425156,
-0.5316360592842102,
-0.1628936380147934,
-0.7787303328514099,
0.6140384674072266,
1.257676362991333,
0.6683080792427063,
-0.8309286236763,
-1.0456607341766357,
0.06156330555677414,
-0.5133658051490784,
0.1462860405445099,
-... |
In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
One example: Says the Annies List political group supports third-trimester abortions on demand.
Solution is here: abortion
Explanation: It's a correct subject of the statement because it talks about a political group supporting demans of abortions.
Now, solve this: AIG insures the pension trust of the United States Congress!
Solution: | corporations | 6 | NIv2 | task613_politifact_text_generation | fs_opt | [
-0.10400499403476715,
0.20141328871250153,
0.1920044869184494,
-0.2648833990097046,
-0.3957363963127136,
-1.1631609201431274,
0.5819334387779236,
0.1033523827791214,
-0.1598949134349823,
0.481323778629303,
-0.6563135981559753,
0.025606103241443634,
-0.8113417625427246,
0.06481444835662842,... |
Q: 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.
Context Word: face.
A: | Sentence 1: PersonX didn't have a very attractive face like PersonY. _ had a difficult time getting a date.
Sentence 2: PersonX didn't have a very attractive face like PersonY. _ had an easy time getting a date. | 7 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.1651112139225006,
0.47448834776878357,
0.18805226683616638,
-0.4766087830066681,
0.11482593417167664,
-0.2127148061990738,
0.6878467798233032,
0.7298520803451538,
0.09380193054676056,
-0.5195260047912598,
-0.2512243390083313,
-0.22621804475784302,
-0.5729495286941528,
-0.1439477205276489... |
Detailed Instructions: In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Problem:Post: Homelandsecurity destroy over 4000 waterbottles in the southdesert of USA. They want to stop refugees which like to settle in USA. [Link]
Solution: | Generic | 8 | NIv2 | task337_hateeval_classification_individual_en | zs_opt | [
-1.2376654148101807,
0.575401782989502,
0.6594725847244263,
-0.34070080518722534,
-0.24728664755821228,
-0.9032446146011353,
0.9431146383285522,
0.22684407234191895,
0.15124055743217468,
0.4009828269481659,
-0.17600390315055847,
0.15737943351268768,
-0.6054203510284424,
-0.5375466346740723... |
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any external knowledge. Subjective questions are not allowed. Short answers containing words that are present in the passage are preferred. Create questions that result in factoid answers. A simple rule of thumb to decide whether a question is a factoid or not is to see if two different people with average reading/comprehension skills would come up with the same answer after reading the passage.
Ex Input:
The film opens with helicopter pilot and guide Don Stober (Andrew Prine) flying individuals above the trees of a vast National Park. He states that the woods are untouched and remain much as they did during the time when the Native American lived there.Two female hikers are breaking camp when one of them is attacked and killed by a bear. The second woman finds apparent safety within a nearby cabin until the bear tears down a wall to reach her. The National Park's Chief Ranger Michael Kelly (Christopher George) and photographer Allison Corwin (Joan McCall), daughter of the park's restaurant owner, decide to follow a Ranger to the primitive campsite to find the two female hikers. They discover the woman's mangled body inside the destroyed cabin. Allison stumbles across the remains of the first woman while photographing the search.At the hospital, a doctor tells Kelly that the women were killed by a bear. The Park Supervisor Charley Kittridge (Joe Dorsey) blames Kelly, saying the bears were supposed to have been moved from the park by he and Naturalist Arthur Scott (Richard Jaeckel) before the tourist season began. Kelly and Kittridge argue over closing the park, and decide to move all hikers off the park's mountain while allowing campers to remain in the lowlands. Kelly calls Scott, who says all bears are accounted for and this specific bear must be unknown to the forest.While searching the mountain, a female Ranger decides to go swimming near a waterfall where she is attacked and killed by the bear. Kelly recruits the helicopter pilot Stober to assist in the search. Flying above the forest, they see what they believe to be an animal, only to discover the Naturalist Scott adorned in an animal skin while tracking the bear. He informs them the animal they are looking for is a prehistoric grizzly bear and at least 15 feet tall. Kelly and Stober scoff at the notion.At the busy lowland campground, the grizzly tears down a tent and kills a woman. Kelly once again insists on closing the park, but Kittridge refuses. The attacks are becoming a national news story and to counteract this, Kittridge allows amateur hunters into the forest. Kelly, Stober and Scott, now a team, are disgusted by this development. Later, a lone hunter is chased by the bear but he evades the animal on foot, falling into a river and floating to safety. A Ranger at a fire lookout tower on the mountain is attacked by the grizzly, the animal tearing down the structure and killing the Ranger.Kelly and Kittridge continue to argue over closing the park. Frustrated by the politics of the situation, Scott sneaks away to track the grizzly on his own. On the outskirts of the National Park, a mother and child living in a cabin are attacked by the grizzly. The mother is killed and the child survives, but is severely mutilated. Stunned by this development, Kittridge finally allows Kelly to close the park and ban all hunters.Stober and Kelly now go after the elusive grizzly alone, setting up a trap by hanging a deer carcass from a tree. The grizzly goes for the bait and the men chase the animal through the woods. When they return, they discover the grizzly has tricked them and taken the deer carcass. Tracking on horseback, Scott finds the remains of the carcass and calls Stober and Kelly on the radio. He is going to drag the deer behind his horse and create a trap by leading the grizzly towards them. The grizzly surprises Scott, killing his horse and knocking him unconscious. Scott awakens to find himself alive, but half-buried in the ground. The grizzly immediately returns and kills him.Kelly and Stober discover Scott's body and in despair, decide to return to the helicopter to find the grizzly from the air. They immediately spot the bear in a clearing and quickly land. The grizzly attacks the helicopter, swiping the craft causing Stober to be thrown clear. The grizzly kills Stober and then turns on Kelly, who frantically pulls a bazooka from the helicopter. Before the bear can reach him, Kelly fires the bazooka at the grizzly, killing the animal instantly. For several seconds, Kelly sadly stares at the burning remains of the grizzly and then walks towards Stober's body.
Ex Output:
Question: What does Kelly use to kill the grizzly?, Answer: A bazooka
Ex Input:
Although barely 30, Claire believes she is showing the first symptoms of Alzheimers disease, a condition from which her mother has recently died. Her sister, Nathalie, is certain that her memory loss, caused by a lightning strike, is temporary. In the clinic where she is being treated, Claire is attracted to Bernard, a man who is still traumatised after a car accident in which his wife and child were both killed. In spite of their personal tragedies, Claire and Bernard fall in love. When Bernard recovers, Claire moves into his home. Then Claires condition takes a turn for the worse
Ex Output:
Question: What trauma did Bernard experience?, Answer: The death of his wife and son in a car accident
Ex Input:
This article's plot summary may be too long or excessively detailed. Please help improve it by removing unnecessary details and making it more concise. (May 2015) (Learn how and when to remove this template message)The Phantom of the Opera is a disfigured musician named Erik who lives below the Opéra Garnier in Paris. He has a large part in managing each performance through his friend Gerard Carriere. The Phantom's life changes when Carriere is dismissed and the opera hires a new manager, Choleti. Choleti's wife Carlotta is a spoiled woman with a bad personality and terrible voice; The Phantom takes an instant dislike to them both. Choleti and Carlotta refuse to listen to warnings about the "ghost" who haunts the opera house, even when Joseph Buquet, Carlotta's wardrobe man, goes into the depths of the opera house and is killed.Christine Daae comes to the Paris Opera House to receive voice lessons that Phillipe, the Comte de Chagny promised her, learning that she is not the first pretty face Phillipe brought there. Carlotta dismisses her, but upon learning that Christine has a powerful patron lets Christine work in the costume department. Christine has no home or money, but Jean-Claude, the doorman, lets her stay in a storage room in the Opera House.Christine wanders onto the stage and sings to the empty theater. The Phantom is entranced by her voice. Hiding in the orchestra pit, he tells her that her voice is miraculous but untrained, and with proper technique her singing could reach its full potential. He offers to be her teacher, but must remain anonymous; that is why he wears a mask. They begin lessons, and the Phantom falls deeper in love with her.In retaliation for Carlotta's singing the lead in every production, Erik begins a campaign of humiliation against her, sabotaging her performances and causing Carlotta to become a laughingstock. The Comte de Chagny learns that Christine has been working in the costume department. He apologizes and invites her to the Bistro. With Erik's encouragement, Christine attends the Bistro and sings. Everyone is astonished by her voice and Choleti signs her to a singing contract. Phillipe and Christine start to bond. The Count realizes Christine was his childhood sweetheart from long ago. Erik witnesses them driving off together and stays up all night in the rehearsal room, waiting for Christine. When she returns, she finds him gone.Because of the Phantom's sabotage campaign, Carlotta says she will not sing until he is caught or killed. Finding out Christine has been secretly living in the Opera, Carlotta blackmails Christine into telling her about her vocal coach. When Carlotta informs her husband that Christine's teacher is the Phantom, Choleti gives Christine the female lead of the opera Faust; he is working with the police to capture the Phantom. During their next lesson, there is tension between the Phantom and Christine about where she went after the Bistro performance, but he agrees to help her prepare for her stage debut. Carlotta offers Christine a beverage that weakens her voice. The audience starts booing and Erik is enraged. He cuts through the ropes holding the chandelier and drops it on the audience, then abducts Christine to his underground lair.The Phantom discovers Carlotta was behind Christine's voice problems and dumps rats on her, driving her insane. As Christine sleeps, Erik builds traps for anyone who comes down below. Carriere pleads with him to let Christine go, but Erik refuses. He insists that the world above is not fit for her and believes that in time she will love him. He shows Carriere explosive materials he has devised, and warns him that he will blow up the opera house if they try to come down there. Carriere goes to Christine and urges her to get out. He tells her the story of Erik's past and of Erik's mother, a great singer named Belladova to whom she bears a resemblance. Belladova gave birth to him below the opera house, and Erik has lived there his entire life. Christine refuses to leave without talking to Erik.Erik takes Christine on a tour of his underground home. During a picnic, she asks Erik to show her his face. Erik refuses, but she promises him that she would be able to look at him with love and acceptance, just as his mother once did. When he does unmask, she faints. In the midst of an anguished breakdown, Erik locks her in one of his chambers.Christine escapes, and Carriere and the Count take her from the Opera House. Christine is stricken with guilt, and after having a dream that Erik is dying begs Phillipe to take her back. The Comte agrees, and he and Christine approach Choleti about singing that night. Choleti secretly arranges to have police planted throughout the opera house.Carriere finds Erik among the remains of his lair. Carriere tells Erik that Christine did not mean to hurt him. Erik replies simply, "She was unprepared for ugliness." The conversation turns to Erik's mother and, eventually, his face. The older man reveals that he has seen Erik's face, because he is his father. Erik says he knew. He tells Carriere that when he dies, he wants to be buried deep so he cannot be put on display. Gerard promises before leaving Erik.Christine sings at that night's performance of Faust. Erik hears her and forces himself up to Box Five. He begins singing with her. Christine and the Phantom sing to each other with such passion that the audience is awed.The police shoot at Erik and he jumps on stage, grabbing hold of Christine. He carries her to the roof, fighting off police. The Comte pursues them, but in the ensuing struggle is knocked off the roof, dangling above the street. Erik begins breaking the Comte's grip, but at Christine's pleading pulls him to safety. Erik finds himself cornered, with police determined to take him alive. Carriere has gone to his old offices and retrieved a gun. Upholding his promise, Carriere shoots his son. Erik falls from the roof and Christine runs to him. While cradled in his father's lap, Christine removes Erik's mask, looks him straight in the face and smiles. Erik dies with his father and Christine at his side. Christine replaces Erik's mask and is led away by the Comte.
Ex Output:
| Question: Who is the ballet dancers?, Answer: <No Answer>
| 1 | NIv2 | task182_duorc_question_generation | fs_opt | [
0.6122329235076904,
-0.10935072600841522,
-0.9050077199935913,
0.12274161726236343,
-0.0404837541282177,
-0.40215200185775757,
0.5718146562576294,
0.5993594527244568,
-0.12452606856822968,
-0.2501600384712219,
-0.23714429140090942,
-0.27657920122146606,
-0.5921164751052856,
0.2756249904632... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Problem:And if you don't have a grandmother, write to Mr. Domingos, he will like it.
Solution: | ואם אין לכם סבתא, כתבו למר דומינגוס, זה ימצא חן בעיניו. | 8 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.02278674766421318,
0.5308610200881958,
0.220175102353096,
-0.24245138466358185,
-0.5217384696006775,
-0.6319623589515686,
0.5062527060508728,
-0.21595150232315063,
0.3031174838542938,
-0.01221644040197134,
0.2833283245563507,
-0.004968220833688974,
-1.2414753437042236,
-0.18905559182167... |
Definition: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible.
Input: story: Gina's family had gone out of town for a funeral. The funeral was now over. Gina's mom needed to stay and plan to move her mom to MN. Her dad couldn't miss anymore work. They stood on the porch waving goodbye as he drove back home.
selected sentence: The funeral was now over.
Output: | The funeral begins >Causes/Enables> The funeral ends | 2 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
0.0270587969571352,
0.6183998584747314,
0.18532678484916687,
-0.12441553175449371,
-0.14721646904945374,
-0.28658604621887207,
-0.08335648477077484,
1.2928390502929688,
0.029584232717752457,
0.0907755196094513,
-0.1425243318080902,
0.2795295715332031,
-0.012224127538502216,
0.1681020855903... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Ex Input:
['s', '2037', 'b', '6635', 't', '9871', '2333', 'E', 'I', '5239', 'F', '8375', 'f', 's', 'K', '8949', 'r', 'm', 'U', '9523', '4289', '6583', '2271', '1869']
Ex Output:
2, 4, 6, 7, 10, 12, 16, 20, 21, 22, 23, 24
Ex Input:
['6875', 'K', '1935', '1049']
Ex Output:
1, 3, 4
Ex Input:
['i', '7325', '6501', '1539']
Ex Output:
| 2, 3, 4
| 1 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
0.06772182881832123,
0.05036351457238197,
-0.5766504406929016,
-0.4180942475795746,
0.1737709790468216,
-0.437017023563385,
0.6309685707092285,
0.7605166435241699,
-0.6001977324485779,
0.5200139880180359,
-0.8163115978240967,
-0.01701260730624199,
-0.11931666731834412,
-0.2974463701248169,... |
Detailed Instructions: 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.
Q: కిర్గిజ్ రిపబ్లిక్ ను నేను సందర్శించనుండటం కిర్గిజ్ రిపబ్లిక్ తో పాటు ఎస్సిఒ సభ్యత్వ దేశాల తో మన సహకారాన్ని మరింత గా బలోపేతం చేసి, ఏకీకృతం చేయగలుగుతుందన్న నమ్మకం నాలో ఉంది.
A: | എന്റെകിര്ഗിസ് സന്ദര്ശനം ഷാങ്ഹായി സഹകരണ സംഘടനയിലെ അംഗരാഷ്ട്രങ്ങളുമായും കിര്ഗിസ് റിപ്പബ്ലിക്കുമായുള്ള നമ്മുടെ സഹകരണത്തെ കൂടുതല് ശക്തിപ്പെടുത്തുകയും ഉറപ്പിക്കുകയും ചെയ്യുമെന്ന് ഞാന് വിശ്വസിക്കുന്നു''. | 9 | NIv2 | task1050_pib_translation_telugu_malayalam | zs_opt | [
0.035178788006305695,
1.0431450605392456,
-0.3436887562274933,
0.33540087938308716,
0.15924106538295746,
-1.4769225120544434,
0.7416225671768188,
-0.1263110190629959,
-0.6926635503768921,
0.27221935987472534,
-0.06526443362236023,
-0.20923149585723877,
-0.9815632104873657,
1.09948790073394... |
Given the task definition and input, reply with output. In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Given the variety of the visual world there is not one true scale for recognition: objects may appear at drastically different sizes across the visual field. Rather than enumerate variations across filter channels or pyramid levels, dynamic models locally predict scale and adapt receptive fields accordingly. The degree of variation and diversity of inputs makes this a difficult task. Existing methods either learn a feedforward predictor, which is not itself totally immune to the scale variation it is meant to counter, or select scales by a fixed algorithm, which cannot learn from the given task and data. We extend dynamic scale inference from feedforward prediction to iterative optimization for further adaptivity. We propose a novel entropy minimization objective for inference and optimize over task and structure parameters to tune the model to each input. Optimization during inference improves semantic segmentation accuracy and generalizes better to extreme scale variations that cause feedforward dynamic inference to falter.
| Unsupervised optimization during inference gives top-down feedback to iteratively adjust feedforward prediction of scale variation for more equivariant recognition. | 5 | NIv2 | task668_extreme_abstract_summarization | zs_opt | [
-0.4713226556777954,
-0.1434115767478943,
-0.0641510933637619,
0.3900662958621979,
0.22165927290916443,
-0.07389897108078003,
-0.15278956294059753,
1.1545675992965698,
0.46556997299194336,
0.5784173011779785,
-0.5705428123474121,
-0.032830871641635895,
-0.0719183087348938,
0.28085827827453... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible. Do not change the main selected sentence in your answer.
Q: story: The couple was looking for Something to do. They decided to go to the circus. The first act was dancing dogs. They clapped and laughed. It had been years since they'd gone to the circus but this was fun!
selected sentence: They decided to go to the circus.
A: | They go to the circus >Causes/Enables> They see dancing dogs | 4 | NIv2 | task748_glucose_reverse_cause_event_detection | zs_opt | [
-0.683857798576355,
1.0308172702789307,
0.11256925761699677,
-0.3419795632362366,
-0.12210230529308319,
-0.6369436979293823,
0.24609461426734924,
1.037912368774414,
0.21337802708148956,
-0.5400182008743286,
-0.3732095956802368,
0.34113451838493347,
-0.31016361713409424,
-0.0881614834070205... |
Teacher:In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Teacher: Now, understand the problem? Solve this instance: Comment: '...his gun went off...'
.
That is not how guns work, he shot her, intentional or not, he shot her.
Student: | Non-insult | 6 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-0.8450366258621216,
0.6546249389648438,
0.9164568781852722,
0.5148625373840332,
0.3650027811527252,
-0.31746017932891846,
0.4758296012878418,
0.8137826919555664,
0.3092118799686432,
0.5273255109786987,
0.2322400063276291,
0.08766493201255798,
-0.826205313205719,
-0.6409257054328918,
0.1... |
Detailed Instructions: 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.
Problem:Poland 's labour ministry said this week it would send a team to Libya to investigate , but Awdankiewicz said the probe was prompted by some nurses complaining about their work conditions such as non-payment of their salaries .
Solution: | Poland <B-LOC> 's labour ministry said this week it would send a team to Libya <B-LOC> to investigate , but Awdankiewicz <B-PER> said the probe was prompted by some nurses complaining about their work conditions such as non-payment of their salaries . | 8 | NIv2 | task610_conllpp_ner | zs_opt | [
-0.8369008302688599,
0.4429064393043518,
-0.255815327167511,
-0.35552552342414856,
-0.34446197748184204,
0.49887120723724365,
0.884274959564209,
0.047895826399326324,
-0.16474825143814087,
-0.28937312960624695,
-0.6962895393371582,
0.46874845027923584,
-0.3170696496963501,
0.26835668087005... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with 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.
[Q]: Sentence 1: A dark-haired man in white sunglasses talking on a cellphone. Sentence 2: A man doesn't have any electronic devices.
[A]: A man is talking on his cell phone.
[Q]: Sentence 1: Three women wearing neon baseball caps and heart t-shirt are cheering. Sentence 2: Three women wearing dresses sit silently.
[A]: Three women are cheering.
[Q]: Sentence 1: A pilot standing outside of an airplane. Sentence 2: A man is inside of an airplane.
[A]: | A man is outside a plane.
| 5 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.2127804458141327,
0.6916317939758301,
0.10311482846736908,
-1.2284634113311768,
0.1902565360069275,
0.07697325199842453,
0.2738572359085083,
0.8325064778327942,
0.47385144233703613,
0.0065473709255456924,
-1.314501404762268,
-0.3611953854560852,
-0.40554726123809814,
-0.3393255770206451... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Hypothesis: It is rude to eat people's food if you know they are hungry.
Update: They cooked the food especially for you. | weakener | 0 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.5613604784011841,
0.5917463302612305,
0.15333864092826843,
0.06801170855760574,
-0.27073022723197937,
-0.8278480768203735,
0.8613377213478088,
0.978034257888794,
0.2590283155441284,
-0.39370518922805786,
-1.3807902336120605,
-0.5641780495643616,
-1.0717869997024536,
-0.13598847389221191... |
A text is given in Tamil. Translate it from the Tamil language to the Malayalam language. The translation must not omit or add information to the original sentence.
Q: பிரான்சும், இந்தியாவும் வெளிப்படையான, நம்பத்தகுந்த, பாதுகாப்பான, நிலைத்த, அமைதியான இணையவெளிக்கான உறுதிப்பாட்டை கொண்டுள்ளன.
A: | തുറസ്സായതും, ആശ്രയിക്കാവുന്നതും, സുരക്ഷിതവും, സുസ്ഥിരവും, സമാധാനപൂര്ണ്ണവുമായ ഒരു സൈബര് ഇടത്തിന് വേണ്ടിയുള്ള തങ്ങളുടെ പ്രതിബദ്ധത ഫ്രാന്സും ഇന്ത്യയും ഉറപ്പിച്ച് പറയുന്നു. | 4 | NIv2 | task1000_pib_translation_tamil_malayalam | zs_opt | [
-0.3267875909805298,
0.8204140663146973,
0.03390227258205414,
-0.8832758665084839,
-0.1693315953016281,
-0.4807451367378235,
0.2428438663482666,
-0.17172804474830627,
-0.33398887515068054,
0.5391265153884888,
-0.505852997303009,
-0.15248605608940125,
-0.2757476568222046,
-0.663249850273132... |
Definition: The task is to generate text based off 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 intent behind doing the event, i.e. why did the person do that action.
Input: PersonX gets PersonX's shine box
Output: | mean | 2 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.28728780150413513,
0.5092196464538574,
0.07326418906450272,
-0.22472834587097168,
-0.2048773467540741,
-0.41519081592559814,
0.6227849125862122,
0.7762272357940674,
0.1125558540225029,
-0.22391368448734283,
-0.3081236481666565,
-0.006182505749166012,
-0.6496039628982544,
0.6681743860244... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: महात्मा गांधीजींचे बालपण ते शिक्षण, दक्षिण आफ्रिका दौरा, विविध चळवळींमध्ये दक्षिण आफ्रिका आणि भारतात त्यांनी घेतलेला सहभाग आणि कवितांचा समावेश आहे.
Student: | শ্রী প্রকাশ জাভড়েকর রাষ্ট্রপতিকে মহাত্মা গান্ধীর সার্ধ জন্মশতবার্ষিকী উপলক্ষে তথ্য ও সম্প্রচার মন্ত্রকের বিভিন্ন উদ্যোগের কথা জানান। মন্ত্রক এক্ষেত্রে মানুষের কাছে পৌঁছনোর লক্ষ্যে সরকারের অন্যান্য মন্ত্রকের প্রয়াসের কথা শ্রী কোবিন্দকে জানান। | 6 | NIv2 | task1062_pib_translation_marathi_bengali | zs_opt | [
0.159556046128273,
-0.31598204374313354,
-0.49186187982559204,
-0.7317267656326294,
-0.8323520421981812,
-1.1240047216415405,
0.48924916982650757,
0.07650071382522583,
0.05595613643527031,
-0.1645975112915039,
-0.6202667355537415,
-0.17232675850391388,
-0.3507101833820343,
-0.3572858572006... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Article: Homework can put you in a bad mood , and that might actually be a good thing. Researchers from the University of Plymouth in England doubted whether mood might affect the way kids learn. To find out the answer, they did two experiments with children. The first experiment tested 30 kids. Someshapes were hidden inside a different, larger picture. The kids had to find the small shapes while sitting in a room with either cheerful or sad music playing in the background. To test their mood, the scientists asked the kids to point to one of five faces, from happy to sad. Children who listened to cheerful music tended to point to the smiley faces while the others pointed to the unhappy ones. The researchers found that sad kids took at least a second less to find the small shapes. They also found an average of three or four more shapes. In the second experiment, 61 children watched one of two scenes from a film. One scene was happy, and the other was sad. Just like in the first experiment, kids who saw the sad scene acted better compared to the others. The researchers guessed that feeling down makes people more likely to focus on a problem or difficult situation. Not all scientists agree with them, however. Other studies argued that maybe, that cheerful music in the first experiment distracted kids from finding shapes. While scientists work on finding out the answers, it still might be wise to choose when to do your tasks according to your mood. After eating a delicious ice cream, for example, write an essay.
Question: Researchers did experiments on kids in order to find out _ .
Options: (A) how they really feel when they are learning (B) whether mood affects their learning ability (C) what methods are easy for kids to learn (D) the relationship between sadness and happiness
Solution: B
Reason: It is clearly mentioned in the article that to the check effect of mood on children is the main purpose of the experiment. So, B is the correct answer.
Now, solve this instance: Article: The novelist Harriet Beecher Stowe, born 200 years ago, was a poor housewife with six children, who suffered from various illnesses. And yet, driven by a passionate hatred of slavery, she found time to write "Uncle Tom's Cabin" which became the most influential novel in American history and aroused radical change both at home and abroad. Today, however, the book has a different reputation, owing to the popular image of its character, Uncle Tom-whose name has become a saying for a cowardly black man who betrays his race. But this view is wrong: The original Uncle Tom was physically and morally strong, an inspiration for blacks and other oppressed people worldwide. Indeed, that's why in the mid-19th century Southerners attacked "Uncle Tom's Cabin" as a dangerously destructive book, while Northern reformers-especially blacks-often praised it. The book was influential overseas, too.In Russia it inspired Vladimir Lenin, who recalled it as his favorite book in childhood. It was the first American novel to be translated and published in China, and it fueled antislavery causes in Cuba and Brazil. The book's progressive appeal was the character of Uncle Tom himself: a strong man who is notable because he does not betray his race; one reason he gave up escaping from his plantation is that he doesn't want to put his fellow slaves in danger. And he is finally killed because he refuses to tell his master where two runaway slaves are hiding. Unfortunately, these themes were lost in many of the stage versions of "Uncle Tom's Cabin". The play, seen by more people than those who read the book, remained popular up to the`1950s and still appears occasionally. But in the play Stowe's revolutionary themes were drowned. But it doesn't have to be that way; indeed, during the civil rights era it was those who most closely resembled Uncle Tom-Stowe's Tom, not the sheepish one of popular myth-who proved most effective in promoting progress. Both Stowe and Tom deserve our reconsideration and our respect.
Question: Harriet Beecher Stowe managed to write "Uncle Tom's Cabin because _ .
Options: (A) she wanted to earn money to support her family (B) she hated slavery from the bottom of her heart (C) she tried to set an example to her six children (D) she had the similar life experiences with Tom
Student: | B | 2 | NIv2 | task309_race_answer_generation | fs_opt | [
0.47867247462272644,
-0.1320347785949707,
-0.23642118275165558,
-0.49555784463882446,
0.2070508897304535,
-0.4590859115123749,
1.0270025730133057,
0.896836519241333,
-0.2728562355041504,
-0.09525027871131897,
-0.01433306559920311,
0.31687843799591064,
-0.48438388109207153,
0.08056457340717... |
Detailed Instructions: In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Problem:Expansion quickly peaked however, and the European powers who had carved up the New World set about testing each other in dynastic conflicts and colonial rivalry. The English were the main rivals of the Dutch on the high seas, and there were several wars between the two in the 17th and 18th centuries. In 1665–1667 the Dutch sailed up the River Medway and sank the British fleet moored there. The 18th century saw Amsterdam grow into the foremost financial center in the world, but the seeds of decline had already been planted. When the English colonies in New England rose up in revolt against the British, they found ready Ailies in the Dutch. From their colonies in the Caribbean they sent caches of arms and ammunition. The British were furious and went to war in 1780, destroying the Dutch navy and signaling a sudden decline in power and influence from which the Netherlands never recovered. Trade suffered to such an extent that in 1791 the VOC went into liquidation. In the latter part of the century there were anti-Orange demonstrations by pro-French factions in the country, and in 1795 Napoleon Bonaparte took the Netherlands in his epic march across Europe. Under the yoke of another foreign power, and with trade at an all time low, the Golden Age was truly dead. The Return of the House of Orange Napoleon installed his brother Louis as King of Holland and he chose to take the fine Town Hall on Dam Square as his palace — now the Koninklijk Palace. But only four years later he fled the city after civil disturbances broke out when he raised taxes. When Napoleon's bubble burst and French power began to wane, William of Orange emerged from exile and was proclaimed king in 1813. Amsterdam had to work its way out of economic decline, but throughout the 19th century the city grew steadily. Industrialization changed the city. With the building of the Central Station at the end of the century, Amsterdam turned its back on its seafaring past and looked towards the mechanical age for its future. The station was built over the old harbor wall and some of the oldest canals in the city center were filled in to allow better access to motorized vehicles. Dam Square was landlocked for the first time in its history. <sep>The Netherlands depended on what for their economic stability and gain?<sep>Trade
Solution: | Yes | 8 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
0.6905300617218018,
0.3230327069759369,
-0.18820464611053467,
-0.06767454743385315,
0.2606554329395294,
-0.7434711456298828,
0.1452002376317978,
0.9295336008071899,
0.40635359287261963,
0.39448869228363037,
-0.3190951347351074,
0.5507257580757141,
-0.9659061431884766,
-0.016338396817445755... |
Given the task definition, example input & output, solve the new input case.
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correct answer words must lie within the associated fact. The correct answer can be a word, phrase, or even a sentence.
Example: Fact: pesticides can harm animals.
Question: What can harm animals?
Output: pesticides.
The answer is present in the span of the fact.
New input case for you: Fact: When vibrations reach the ear, music can be heard.
Question: When vibrations reach the ear, what can be heard?
Output: | music. | 1 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.4329490661621094,
0.9507459402084351,
-0.33258888125419617,
0.6619464159011841,
0.32155609130859375,
-0.9216004610061646,
0.34808099269866943,
0.5856230854988098,
0.1013297289609909,
-0.05271527171134949,
-0.708516538143158,
0.22482819855213165,
0.0005975861568003893,
-0.2446893900632858... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Q: What is the part-of-speech tag of the word "in" in the following question: When did the program that aired in 2016 release on DVD in Japan ?
A: | IN | 4 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.4314234256744385,
0.07308356463909149,
-0.2597239017486572,
0.12715306878089905,
0.4554207921028137,
-0.23006847500801086,
1.3984990119934082,
0.6288923025131226,
-0.5913379192352295,
-0.08802502602338791,
0.14041897654533386,
0.3565075397491455,
-0.7326560020446777,
0.2207283079624176,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
3, 11, ['D', 'Y', '9811', '5055', 'b', 'o', '2841', 'Q', 'S', '6989', 'C', 'j', '3353', '6995', '1211', '6785']
Output: | 98115055bo2841QS6989C | 1 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.07491808384656906,
0.5989066958427429,
-0.6531909108161926,
-0.5813682079315186,
0.01876356638967991,
-0.17608331143856049,
0.25653159618377686,
-0.2915521264076233,
-0.13538610935211182,
0.18222001194953918,
-0.9336270093917847,
-0.028895501047372818,
0.2234058529138565,
-0.33446663618... |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.
One example is below.
Q: Passage: The French and Indian War (1754–1763) was the North American theater of the worldwide Seven Years' War. The war was fought between the colonies of British America and New France, with both sides supported by military units from their parent countries of Great Britain and France, as well as Native American allies. At the start of the war, the French North American colonies had a population of roughly 60,000 European settlers, compared with 2 million in the British North American colonies. The outnumbered French particularly depended on the Indians. Long in conflict, the metropole nations declared war on each other in 1756, escalating the war from a regional affair into an intercontinental conflict. Question: When was the French and Indian War?
A: 1754-1763
Rationale: It is a common convention to write (start year-end year) beside a historical event to understand when the event happened. We can observe a similar notation from the passage to conclude that the French and Indian War happened during 1754–1763. Therefore, the answer is 1754–1763.
Q: Passage: The first Europeans to disembark and explore the region were the Portuguese navigators Diogo Cão in 1485 and Bartolomeu Dias in 1486; still the region was not claimed by the Portuguese crown. However, like most of Sub-Saharan Africa, Namibia was not extensively explored by Europeans until the 19th century, when traders and settlers arrived, principally from Germany and Sweden. In the late 19th century Dorsland trekkers crossed the area on their way from the Transvaal to Angola. Some of them settled in Namibia instead of continuing their journey. Question: Settlers on their way to Angola settled in Namibia instead of going where?
A: | Angola | 9 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.6997207403182983,
0.39042115211486816,
-0.07679705321788788,
0.011707802303135395,
-0.009709353558719158,
-0.6581653356552124,
0.7444112300872803,
0.4118737578392029,
0.7596946954727173,
0.27130138874053955,
0.20722031593322754,
-0.0952506735920906,
-0.7541248798370361,
-0.30587452650070... |
You will be given a definition of a task first, then some input of the task.
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
THEM: i want the ball and all the books. YOU: you're welcome to have the ball. i'd like the hat, and three books. THEM: i'll take the ball, but i want either the hat or two book with it. YOU: can't do that. at the very least, i'd need two books and the hat. i'd be willing to give you the ball and one book. THEM: ok deal YOU: dea ;
Output: | Yes | 1 | NIv2 | task1384_deal_or_no_dialog_classification | zs_opt | [
0.33359140157699585,
0.54314124584198,
-0.11530514806509018,
0.782639741897583,
0.30762362480163574,
-0.28933244943618774,
0.6687535047531128,
-0.10024849325418472,
0.49698731303215027,
-0.3219197988510132,
-0.023576967418193817,
0.16029387712478638,
-0.44778338074684143,
-0.17565636336803... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the ending, and use names instead of pronouns (e.g. he / she) wherever possible.
Q: Beginning: Little Francis had to be sent to daycare. Middle: Francis was treated very well by the daycare.
A: | His mother was proud that she chose the best one. | 4 | NIv2 | task071_abductivenli_answer_generation | zs_opt | [
-0.08720722794532776,
1.1130635738372803,
0.14776363968849182,
-0.7788981199264526,
-0.5795107483863831,
-0.6383872032165527,
0.5102835893630981,
0.5153722763061523,
0.23886698484420776,
0.18402856588363647,
-0.42252033948898315,
0.6894453763961792,
-0.22140207886695862,
0.2243080139160156... |
Detailed Instructions: Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: 取引はTPLFの人道的な一派であるティグレ救済協会のメンバーによって監視されていた。
Bahasa Indonesia: Transaksi itu diawasi oleh anggota dari Relief Society of Tigray (REST), sayap kemanusiaan TPLF.
A: | Yes | 9 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.5809546113014221,
-0.15179957449436188,
-0.017004380002617836,
0.4061691164970398,
0.20677122473716736,
-0.43186154961586,
0.4986693561077118,
-0.2713300883769989,
0.13957874476909637,
0.03554018586874008,
-0.8215997815132141,
0.03378424793481827,
-1.1410276889801025,
0.8102968335151672... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Example input: English sentence: Lionel Messi is the greatest football player of all time
Example output: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Example explanation: The output exactly translates the sentence to it's somali equivalent. Even though the phrase 'greatest player of all times' is translated to 'greatest player ever', the meaning remains the same.
Q: English sentence: He was a very evil man well known for his hatred of the Prophet (salla Allahu alihi wa sallam) and had succeeded to incite his tribe to take up arms against him.
A: | Waxa uu ahaa nin aad u xun oo si fiican u yaqaan nacayb Nabiga (Salla Allahu alihi wa Sallam) oo ay ku guulaysteen in ay dhiira uu qabiilka inay hubka qaadaan isaga ka gees ah. | 3 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
-0.22134141623973846,
0.9274478554725647,
-0.13108259439468384,
-0.17101435363292694,
-0.005070342682301998,
-1.7871038913726807,
-0.2593454420566559,
0.08187255263328552,
0.31988024711608887,
-0.017647594213485718,
-0.17710092663764954,
1.4448399543762207,
-1.0159473419189453,
-0.35150051... |
TASK DEFINITION: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
PROBLEM: [[-28, 29, -2], [-21, -37, 13], [27, 50, 17], [35, -27, -19, 30, 46], [38, -4, -23, -14, 7], [-4, 10, 24, 47], [-28, -26], [-1, -9, -34, 42], [-35, -41, 43, 25]]
SOLUTION: [1624, 10101, 22950, 24777900, -342608, -45120, 728, -12852, 1542625]
PROBLEM: [[-50, -5, 15, -12, 6], [3, -46], [47, 27, 24, -9, -28], [2, 35, -47, 3], [-49, -11, 17, 18]]
SOLUTION: [-270000, -138, 7674912, -9870, 164934]
PROBLEM: [[-25, -26, -23], [37, 46], [37, 41, 11]]
SOLUTION: | [-14950, 1702, 16687]
| 8 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.2374730110168457,
-0.06696288287639618,
-0.9125701189041138,
-0.1545667201280594,
0.1404389888048172,
-0.25855499505996704,
1.2830278873443604,
0.7093201875686646,
-0.5236964225769043,
-0.2861376404762268,
-0.9060853123664856,
-0.043073102831840515,
-0.72265625,
0.040243927389383316,
-... |
TASK DEFINITION: Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
PROBLEM: Groundhogs usually have ____ separate dens.
SOLUTION: two
PROBLEM: Cricket usually lays about five eggs, one every other day for ____ days.
SOLUTION: ten
PROBLEM: Vacuum tubes have essentially ____ basic types of emitters.
SOLUTION: | three
| 8 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.23197242617607117,
0.21818748116493225,
-0.23445744812488556,
0.049867428839206696,
-0.07984928786754608,
-1.0483425855636597,
0.6930848360061646,
0.3238709270954132,
-0.8554401397705078,
-0.39704829454421997,
-0.20712155103683472,
0.21828091144561768,
-0.7460671663284302,
-0.2582598626... |
In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the context or linked information.
Let me give you an example: Context: During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. Link Information: Operation Market Garden was a failed World War II military operation fought in the Netherlands from 17 to 25 September 1944. Answer: from 17 to 25 September 1944
The answer to this example can be: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin?
Here is why: The context describes the 704th's actions during Operation Market Garden, and the answer specifies when the operation happened.
OK. solve this:
Context: "Our Time Is Here" by Demi Lovato from the Disney soundtrack Camp Rock. Link Information: Demetria Devonne Lovato ( ; born August 20, 1992) Answer: August 20, 1992
Answer: | When was the artist who sang "Our Time Is Here" born? | 8 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
0.10533313453197479,
0.9347220659255981,
-0.7444136142730713,
0.4825342893600464,
-0.5445526838302612,
-0.7313731908798218,
0.3870496153831482,
0.4868800640106201,
0.4457373321056366,
-0.19641263782978058,
-0.712546706199646,
0.4521031379699707,
-1.2507786750793457,
0.38093888759613037,
... |
You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
--------
Question: I love how fast my cups arrived. I will always get my k cups here! I can't wait to try something new.
Polarity: Negative
Answer: False
Question: This was not a good drink! I drank half of a can. After 30 minutes my hands were shaking out of control and my heart rate was elevated. I felt I had to get up and exercise so I wouldn't feel terrible, not because I had more energy. I didn't feel hungry and I had to pee every few minutes. I can't imagine what would have happened if I drank the whole can. I might as well have taken some crazy illegal substance, because the experience was not good!
Polarity: Positive
Answer: False
Question: Received this order promptly, but am very disappointed in it. Over half of the k cups have exploded in our Keurig. When this happens it makes a huge mess. The machine has to be totally cleaned each time. It appears that the seal at the top of the kcups is not properly attached. The ones that do survive make excellent tasting coffee, but I will not reorder them online again. Very disappointed, makes some of the best tasting coffee we have tried, but only got to drink a little of it.
Polarity: Positive
Answer: | False
| 7 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
0.00044817617163062096,
-0.3326469361782074,
-0.0851292610168457,
-0.03305784985423088,
-0.12479913234710693,
-0.4005606174468994,
0.8847988843917847,
0.07027433812618256,
-0.31395673751831055,
-0.20483142137527466,
0.26358097791671753,
-0.07065121829509735,
-0.834070086479187,
0.171080023... |
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous names (MISC). There can be instances with no named entities, then return 'None'.
[EX Q]: Bovendien beweren technologiespecialisten dat systemen als Freenet weliswaar een forse uitdaging vormen , maar ook geen onoverkomelijke .
[EX A]: Freenet: B-ORG
[EX Q]: De kans is dus groot dat Air Katanga voor Kabila een ' presidentiële luxehelikopter ' bestelde ( de Agusta ) .
[EX A]: Air: B-ORG, Katanga: I-ORG, Kabila: B-PER, Agusta: B-ORG
[EX Q]: Dus stapt hij nu naar de pers .
[EX A]: | None
| 6 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
-0.5528448820114136,
-0.06648163497447968,
-0.22207070887088776,
0.1872715801000595,
-0.25194334983825684,
-0.028021734207868576,
0.8146347403526306,
0.5786805152893066,
0.06790813058614731,
0.10425736755132675,
-0.4846590757369995,
0.1192992776632309,
0.45529705286026,
-0.3086589574813843... |
Q: In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Sentence 1: John's son wanted an rc car. Sentence 2: So he saved up money to buy one for him. Sentence 3: It was very powerful and had a top speed of over 40 mph. Sentence 4: But John's son was too immature for the expensive machine. Sentence 5: And it landed in a pool after he used a ramp to try to jump across it.
A: | RC Car | 7 | NIv2 | task219_rocstories_title_answer_generation | zs_opt | [
-0.4204285740852356,
0.9449244141578674,
0.2676733732223511,
-0.2109154313802719,
-0.13529574871063232,
-0.44898802042007446,
0.15608951449394226,
0.6432349681854248,
0.22469741106033325,
0.018904339522123337,
-0.5854067802429199,
0.08615893125534058,
-0.9629727005958557,
0.124186791479587... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Problem:Mais iso non nos di que necesariamente tiñan linguaxe.
Solution: | 言語能力は別問題なんです | 8 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.21728326380252838,
0.302396297454834,
-0.012971606105566025,
-0.29682421684265137,
0.09628617018461227,
-1.027575969696045,
0.2619571089744568,
0.22933202981948853,
-0.4904308617115021,
-1.07867431640625,
-0.3466467261314392,
-0.4234219789505005,
-0.7110757827758789,
0.5191081762313843,... |
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Example: Jag förklarar debatten avslutad.
Example solution: The debate is closed.
Example explanation: Swedish sentence is properly converted into English sentence.
Problem: Så här långt har vi kommit med den funktionalistiska metoden.
| Solution: The functionalist approach has brought us to this point. | 5 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
-0.21133488416671753,
0.6929905414581299,
0.7400537133216858,
-0.603966474533081,
-0.004618114326149225,
-0.7706060409545898,
0.8432999849319458,
0.1369088888168335,
0.4838300347328186,
-0.34947454929351807,
0.04934924468398094,
0.8161163330078125,
-0.6897532939910889,
0.11273287236690521,... |
In this task you are expected to fix an SQL query based on feedback. You will be given an SQL statement and an English description with what is wrong about that SQL statement. You must correct the SQL statement based off of the feedback. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Q: SQL: SELECT Venue FROM debate ORDER BY Venue Asc
Feedback: Need to find ordered ascending by num of audience not by venue .
A: | SELECT Venue FROM debate ORDER BY Num_of_Audience ASC | 4 | NIv2 | task076_splash_correcting_sql_mistake | zs_opt | [
0.6681634187698364,
0.47457313537597656,
-0.9728356003761292,
1.088762640953064,
-0.2420881986618042,
-0.37341436743736267,
0.569087028503418,
0.552600622177124,
-0.3289005756378174,
0.667517900466919,
0.22039909660816193,
0.26685142517089844,
-0.284992516040802,
0.6315045356750488,
-0.0... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
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 argument 1 is greater/less than argument 2
12. diff: returns the difference between two arguments
13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3
14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3
15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3
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 argument 3
18. all greater/less: returns whether all the values under the header column are greater/less than argument 3
19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3
20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3
21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3
22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3
most_eq { all_rows ; score ; 68 } = true | for the score records of all rows , most of them are equal to 68 . | 0 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.0379323810338974,
-0.10210275650024414,
-0.2958029806613922,
0.02152247726917267,
-0.0023470157757401466,
-0.2658405005931854,
0.5816866755485535,
0.39817655086517334,
0.18426111340522766,
-0.23094338178634644,
-0.7488341927528381,
-0.24444404244422913,
0.011413591913878918,
0.6354531049... |
Detailed Instructions: In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
Problem:[-9.922, 131.617, 224.732, -71.793, 118.193, 8.945, 167.937, 129.757, -28.156, -98.734]
Solution: | [-0.017 0.23 0.392 -0.125 0.206 0.016 0.293 0.227 -0.049 -0.172] | 8 | NIv2 | task093_conala_normalize_lists | zs_opt | [
-0.48711681365966797,
0.12266119569540024,
-0.749087929725647,
-1.158566951751709,
-0.05622611939907074,
-0.15556927025318146,
0.4000779986381531,
-0.04857537895441055,
-0.6411394476890564,
-0.014779286459088326,
-0.7481417059898376,
0.42987796664237976,
-0.7282160520553589,
-0.22685538232... |
Q: Given a sentence in English, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
He has two sons : older Maharana Mahendra Singh and younger Arvind Singh .
A: | 그는 두 아들을두고 있습니다 : Maharana Mahendra Singh 장로와 젊은 Arvind Singh. | 7 | NIv2 | task777_pawsx_english_korean_translation | zs_opt | [
0.3258230686187744,
0.5820491313934326,
-0.48379218578338623,
-0.6299134492874146,
-0.021430499851703644,
-0.34930017590522766,
0.7782666683197021,
-0.2923576831817627,
0.45713722705841064,
-0.8288222551345825,
0.020650574937462807,
0.10333427786827087,
-0.6333611011505127,
0.3040128052234... |
Detailed Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Option 2'. The incorrect option will change the subsequent storyline, so that at least one of the three subsequent sentences is no longer consistent with the story.
See one example below:
Problem: Sentence 1: The cashier was counting the dollar bills at her desk.
Sentence 3: Everyone panicked and started to scream.
Sentence 4: The men threatened the people to remain quiet.
Sentence 5: The cashier handed them the cash so they would go away.
Option 1: Two men rushed into the store and held their guns up.
Option 2: Two dogs rushed into the store.
Solution: Option 1
Explanation: Option 1 forms a consistent story with the given four sentences. In constrast, Option 2 is incorrect as the entty 'two dogs' is not consistent with 'men' mentioned in Sentence 4.
Problem: Sentence 1: Paul needed a job so he went into a store to ask for work.
Sentence 3: Then Paul argued with the owner
Sentence 4: The owner became angry and threw Paul out of his store
Sentence 5: Paul told the owner that he forgave him and still wanted work
Option 1: The owner told Paul that they did not need any more staff.
Option 2: The owner hired Paul right on the spot.
Solution: | Option 1 | 4 | NIv2 | task065_timetravel_consistent_sentence_classification | fs_opt | [
-0.10904929786920547,
0.13905060291290283,
-0.46295860409736633,
0.4610549807548523,
-0.01386028528213501,
0.10985246300697327,
-0.19742286205291748,
1.0726282596588135,
0.6383440494537354,
0.0028827672358602285,
-0.21311675012111664,
-0.6293201446533203,
-0.295731782913208,
-0.29871457815... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
[70, 52, -94, -71]
Output: | [70, 52, -94] | 1 | NIv2 | task369_synthetic_remove_odds | zs_opt | [
-0.7429594993591309,
0.7766273021697998,
-0.056339748203754425,
-0.6043021082878113,
0.3317040205001831,
-0.23489747941493988,
1.0639348030090332,
0.10892864316701889,
0.5743119120597839,
0.42126962542533875,
-0.41253605484962463,
-0.25042158365249634,
-0.014964690431952477,
-0.18243078887... |
Definition: Categorize the comment on the basis of sexual explicitness. If the comment is sexually explicit output Yes, otherwise output No.
Input: Mark, wants to ask about how well the military can be brought into line. Again, there is no need to go any further than to any of the most recent leaders in history who disarmed and then slaughtered millions of their own people; including Stalin, Pol Pot, Mao, both Assad's, and of course the favorite of everyone, Hitler.
And least you forget, our own US government and military disarmed and slaughtered many American Indians in our own recent history.
But don't you be worried about small details like that. Just keep with the herd.
Output: | No | 2 | NIv2 | task1723_civil_comments_sexuallyexplicit_classification | zs_opt | [
-0.11224409937858582,
0.19858509302139282,
-0.6315696835517883,
0.48877400159835815,
-0.6467379331588745,
-0.5063009858131409,
0.9339620471000671,
0.4442024827003479,
0.47378426790237427,
0.34671077132225037,
-0.5671308636665344,
-0.10976698994636536,
-0.3149309754371643,
-0.65267521142959... |
Part 1. Definition
In this task, you will be presented with a question having multiple possible answers in Spanish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Part 2. Example
Question: Era un regalo popular y común este año, así que se dirigió al ¿qué donde sería fácil de encontrar?
Options: (A) árbol de navidad (B) calcetines de navidad (C) tienda especializada (D) tienda departamental (E) armario
Answer: D
Explanation: The predicted answer is correct because out of given many options only department stores are easy to find.
Part 3. Exercise
Question: El pintor explicó cómo nunca logró un retrato perfecto, dijo que esto era porque todas las personas son ¿qué?
Options: A defectuoso B desfigurado C dañado D imperfecto E defectuoso
Answer: | D | 7 | NIv2 | task1131_xcsr_es_commonsense_mc_classification | fs_opt | [
0.0360204353928566,
0.6550496816635132,
0.07351740449666977,
-0.06053416430950165,
0.04950601980090141,
-0.19655725359916687,
0.7885001301765442,
0.8903441429138184,
-0.03906136751174927,
-0.4746868312358856,
-0.2804953455924988,
0.13363783061504364,
-0.1257704496383667,
0.0870456546545028... |
A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
ஆக்கபூர்வமான ஒத்துழைப்புக்கான செம்மையான தளத்தை உருவாக்கும் அக்கறையுடன் தேச வளர்ச்சி அணுகுமுறைகள் மற்றும் பலநிலை ஒருங்கிணைப்புத் திட்டங்களில், பெரிய அளவிலான யூரோ ஆசிய பங்கேற்பு அமைப்பை உருவாக்க ரஷியா முயற்சி மேற்கொண்டிருப்பதற்கு இந்தியா வரவேற்பு தெரிவித்தது. இது சர்வதேச சட்டங்களைப் பின்பற்றியதாகவும், சமநிலை கோட்பாடுகளைக் கொண்டதாகவும், பரஸ்பர மரியாதை கொண்டதாகவும், பரஸ்பர தேசங்களின் தொலைநோக்கு பார்வையைக் கருத்தில் கொண்டதாகவும் இருக்கும் வகையில் திட்டமிடப்படுகிறது.
ਭਾਰਤ ਨੇ ਇੱਕ ਵੱਡੀ ਯੂਰੇਸ਼ੀਅਨ ਸਾਂਝੇਦਾਰੀ ਸੁਨਿਸ਼ਚਿਤ ਕਰਨ ਦੀ ਦਿਸ਼ਾ ਵਿੱਚ ਰੂਸ ਵੱਲੋਂ ਕੀਤੀ ਗਈ ਪਹਿਲ ਦਾ ਸੁਆਗਤ ਕੀਤਾ , ਜਿਸ ਵਿੱਚ ਅੰਤਰਰਾਸ਼ਟਰੀ ਕਨੂੰਨ ਅਤੇ ਸਮਾਨਤਾ ਅਤੇ ਆਪਸੀ ਸਨਮਾਨ ਦੇ ਸਿਧਾਂਤਾਂ ਦੀ ਸਖ਼ਤੀ ਨਾਲ ਪਾਲਣਾ ਕਰਨ ਦੇ ਨਾਲ-ਨਾਲ ਇੱਕ-ਦੂਜੇ ਦੇ ਰਾਸ਼ਟਰੀ ਪਰਿਪੇਖ ਨੂੰ ਧਿਆਨ ਵਿੱਚ ਰੱਖਦਿਆਂ ਰਚਨਾਤਮਕ ਸਹਿਯੋਗ ਦਾ ਪ੍ਰਭਾਵਸ਼ਾਲੀ ਮੰਚ ਬਣਾਉਣ ਲਈ ਰਾਸ਼ਟਰੀ ਵਿਕਾਸ ਰਣਨੀਤੀਆਂ ਅਤੇ ਬਹੁ-ਪੱਖੀ ਏਕੀਕਰਨ ਪ੍ਰੋਜੈਕਟਾਂ ਦਾ ਸੰਯੋਜਨ ਕਰਨ ਦਾ ਜ਼ਿਕਰ ਕੀਤਾ ਗਿਆ ਹੈ ।
கொத்தடிமை, பிச்சையெடுப்பது, பாலியல் நோக்கில் ரசாயனம், மருந்துகளை பெண்கள் உடலில் செலுத்துதல், திருமணம் செய்வதாகக் கூறியும், திருமணம் செய்தவர்களையும், கடத்திச் சென்று கட்டாயத் திருமணம் செய்து கொள்வது.
ਬਿਲ ਰੋਕਥਾਮ, ਬਚਾਅ ਅਤੇ ਪੁਨਰਵਾਸ ਦੀ ਦ੍ਰਿਸ਼ਟੀ ਤੋਂ ਤਸਕਰੀ ਸਮੱਸਿਆ ਦਾ ਸਮਾਧਾਨ ਪ੍ਰਦਾਨ ਕਰਦਾ ਹੈ।
இந்தோனேசியா: இந்தியப் பெருங்கடலில் 90 கடல் மைல் அளவே பரந்திருக்கும் இந்தோனேசியா இந்தியாவுடன் தொடர்ச்சியான நாகரிகத்தைக் கொண்டுள்ளது. இந்த உறவு இரண்டாயிரம் ஆண்டுகளாக நிலவுகிறது.
| ਹਿੰਦ ਮਹਾਂਸਾਗਰ ਤੋਂ ਸਿਰਫ 90 ਨਾਟੀਕਲ ਮੀਲ ਦੂਰ ਹੋਣ ਦੇ ਬਾਵਜੂਦ ਭਾਰਤ ਅਤੇ ਇੰਡੋਨੇਸ਼ੀਆ ਦੇ ਦੋ ਸਦੀਆਂ ਪੁਰਾਣੇ ਸੱਭਿਅਤਾ ਵਾਲੇ ਸਬੰਧ ਹਨ।
| 0 | NIv2 | task1016_pib_translation_tamil_punjabi | fs_opt | [
0.2872197926044464,
0.34751489758491516,
-0.4046024680137634,
0.5032181143760681,
-0.17453108727931976,
0.09129776060581207,
0.8536997437477112,
0.8536692261695862,
-0.45284152030944824,
0.7093901038169861,
-0.9110283255577087,
0.14024470746517181,
-0.655484676361084,
0.17278815805912018,
... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must be different in terms of trigger words (e.g., "small" and "big") which express contrasting properties about the two objects. The answer must not be associated with the trigger word; instead, it should depend on the context present in twin sentences. Also, the answers should not be ambiguous. 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 animals and proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. 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 ObjectX and Y have the same number e.g. when ObjectX is singular, ObjectY must be singular, too. The two objects (ObjectX & ObjectY) should be used ONCE in each sentence. Here is a list of contrastive words that may be used as trigger words. You should create more such trigger words and use them in your twin sentences.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Context Word: beets. | Sentence 1: Sue tried to put the the beets in the jar on the shelf but the _ was too tight.
Answer1: jar.
Sentence 2: Sue tried to put the the beets in the jar on the shelf but the _ was too crowded.
Answer2: shelf. | 0 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.5782886743545532,
0.40724074840545654,
-0.04839508235454559,
-0.18222075700759888,
0.6920855045318604,
-0.6835772395133972,
0.4913209080696106,
1.0891839265823364,
-0.704688549041748,
-0.3559094965457916,
-0.42978620529174805,
-0.040339965373277664,
-0.6100040674209595,
-0.12634871900081... |
instruction:
In this task, you need to reverse the order of words in the given sentence.
question:
Sentence: a lot of food on a wooden table with a plant
answer:
plant a with table wooden a on food of lot a
question:
Sentence: the contents of an oversized handbag lie on a tabletop
answer:
tabletop a on lie handbag oversized an of contents the
question:
Sentence: a train is riding along the track in a city
answer:
| city a in track the along riding is train a
| 9 | NIv2 | task376_reverse_order_of_words | fs_opt | [
0.7352979183197021,
0.9393832683563232,
-0.4467427730560303,
-0.4808296263217926,
-0.27585864067077637,
-0.6952335834503174,
0.26438236236572266,
0.5992387533187866,
-0.41548559069633484,
-0.6639896631240845,
-0.7565064430236816,
0.08438828587532043,
-0.7037742137908936,
0.4046454429626465... |
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.
Input: Consider Input: Context_1 : The Cape Cod Rail Trail (CCRT) is a 22 mi paved rail trail located on Cape Cod in Massachusetts. The trail route passes through the towns of Dennis, Harwich, Brewster, Orleans, Eastham, and Wellfleet. It connects to the 6-plus mile (10 km) Old Colony Rail Trail leading to Chatham, and 8 miles (13 km) of trails within Nickerson State Park. It also passes near the end of the Nauset Bike Trail leading to Coast Guard Beach in Cape Cod National Seashore. Short side trips on roads lead to several other national seashore beaches. Context_2 : Buzzards Bay is a bay of the Atlantic Ocean adjacent to the U.S. state of Massachusetts. It is approximately 28 miles (45 kilometers) long by 8 miles (12 kilometers) wide. It is a popular destination for fishing, boating, and tourism. Since 1914, Buzzards Bay has been connected to Cape Cod Bay by the Cape Cod Canal. In 1988, under the Clean Water Act, the Environmental Protection Agency and the State of Massachusetts designated Buzzards Bay to the National Estuary Program, as "an estuary of national significance" that is threatened by pollution, land development, or overuse. Context_3 : Cape Cod Bay is a large bay of the Atlantic Ocean adjacent to the U.S. state of Massachusetts. Measuring 604 sqmi below a line drawn from Brant Rock in Marshfield to Race Point in Provincetown, Massachusetts, it is enclosed by Cape Cod to the south and east, and Plymouth County, Massachusetts, to the west. To the north of Cape Cod Bay lie Massachusetts Bay and the Atlantic Ocean. Cape Cod Bay is the southernmost extremity of the Gulf of Maine. Cape Cod Bay is one of the bays adjacent to Massachusetts that give it the name Bay State. The others are Narragansett Bay, Buzzards Bay, and Massachusetts Bay. Context_4 : Glacial Lake Cape Cod was a glacial lake that formed during the late Pleistocene epoch inside modern Cape Cod Bay. After the Laurentide ice sheet retreated, glacial ice melt accumulated at the terminal moraine and blocked up the escape of glacial meltwater, creating the lake. Drainage from the lake occurred at Bass River, the location of the Cape Cod Canal and Orleans Harbor. Context_5 : Harwich ( ) is a New England town on Cape Cod, in Barnstable County in the state of Massachusetts in the United States. At the 2010 census it had a population of 12,243. The town is a popular vacation spot, located near the Cape Cod National Seashore. Harwich's beaches are on the Nantucket Sound side of Cape Cod. Harwich has three active harbors. Saquatucket, Wychmere and Allen Harbors are all in Harwich Port. The town of Harwich includes the villages of Pleasant Lake, West Harwich, East Harwich, Harwich Port, Harwich Center, North Harwich and South Harwich. Harwich is also home to the exclusive Wequassett Resort and Golf Club. Context_6 : Henry Paddack (April 2, 1838 – 1920) was an American businessman and politician who served as the Treasurer; a member of the Board of Selectmen of Nantucket, Massachusetts and as a member of the Massachusetts House of Representatives. Context_7 : Nantucket is an island about 30 mi by ferry south from Cape Cod, in the American state of Massachusetts. Together with the small islands of Tuckernuck and Muskeget, it constitutes the Town of Nantucket, and the conterminous Nantucket County, which are consolidated. As of the 2010 census, the population was 10,172. Part of the town is designated the Nantucket CDP, or census-designated place. The region of Surfside on Nantucket is the southernmost settlement in Massachusetts. Context_8 : The John Newcomb House is a historic house in Wellfleet, Massachusetts. It is best known as the house described by Henry David Thoreau in the chapter on the "House of the Wellfleet Oysterman" in his 1865 book, "Cape Cod". The house is located in Cape Cod National Seashore, on a sandy lane off Gull Pond Road to the east of Williams Pond in northern Wellfleet. The Cape style house is presumed to have been built by John Y. Newcomb (born 1762). Context_9 : The Nashville Terminal Subdivision is a railroad line owned by CSX Transportation in the U.S. State of Tennessee. The Subdivision is broken up into 5 sections all in Nashville, Tennessee. The northern part of the Terminal is in Madison, Tennessee at milepost 000/0BA 174 on the southern end of the Ex-L&N Mainline Subdivision at Monfort. Disptach for the Mainline Sub is known as "LD" which is part of the Cincinnati Division. From here in Madison begins the double track that stays for another 22 miles south to Brentwood, Tennessee. At milepost 000/0BA/00H 176.6, the famous Johnny Cash "Amqui" location where the Ex-L&N Evansville, Indiana line, the Henderson Subdivision meets with the Terminal. Dispatch for the Henderson Sub is known as "SA" and operates on AAR58. There are two crossings near each other, Williams Ave and Nesbitt Lane at Amqui. From here the Terminal goes south about 2 miles to the Nashville National Cemetery to the first major location, known as Ekin, 000179, where there is a cross over track from number 1 to number 2 track (left to right track). There is also the first EDD (Defect Detector) at 000179.1. Few more miles southward, the next major location appears. At 000181.0, Maplewood is a major location for the Terminal. From here the regular Terminal goes south to swap crews at Kayne Ave, and the right side, Radnor Cutoff, detours the city and gives yard departures and arrivals direct access to and from Radnor yard to cities like Louisville and Chicago. The Cutoff runs from Maplewood to Shelby Park double track. From Shebly the track converges into one to pass the historic Shelby bridge, then it opens back to double track. From there, the cutoff hits the Intermediates at 0BA187.0 known as Chicken Pike. The Radnor Cutoff carries the L&N mainline classification of "0BA" but meets the main at the same milepost from the Terminal. At Chicken Pike, trains are staged to await arrival to Radnor yard. Once they get clearance, speed is decreased to 15, and at 0BA188.1 the EDD (Defect Detector) sounds for departures and arrivals. This location is known as North Radnor. The right track diverging from the #2 is known as A-1, it is for departure trains to Chattanooga and Atlanta. The left track which goes west from the #1 is known as A-2, and serves as a departure track to Memphis, and if the cutoff is out of service, all northbound departures. The interesting piece of Maplewood is the crossovers that are there to move trains from the Cutoff to the Main. Both lines remain double track for a while. The main runs south for 2 more miles until the Intermediate signals at 000183.0. Commonly trains will stop before Delmas Ave when Kayne Ave is at capacity and await dispatch permission before moving south. From here, the main continues south until the CR Cumberland River Swingbridge, where the main converges into a single track shortly to cross the bridge. At this point, trains had been running at track speed of around 40. From the drawbridge into town, speed is reduced to around 10. After the bridge is passed, the main returns to double track in downtown. On the #1 track about a half a mile south, another connecting track is present. This is the Wye track that connects the main with the Bruceton side, while rarely used for mainline trains, locals and river jobs use it. The location is known as 8th Avenue or 8th Avenue Wye. The main then runs down to Kayne Ave, the central hotbed of all Nashville thru traffic. The Memphis, Tennessee Ex-L&N Bruceton Subdivision meets with the Terminal. The Bruceton Sub begins at Church Street at 00N0.0. The line then runs single track until 00N0.7 "11th Avenue" where it turns into double track and also meets the aforementioned, Wye track. The Bruceton line then goes southwest a while to the next signals, at "Shops". Now speed has been increased. The line is still double track until "Sellars", where speed is increased to 40 and jurisdiction transferred to the SD Dispatcher. For a short time, 4 main tracks are present and an additional fifth track for switchers and yard movements. The tracks from left to right in Kayne Ave are as follows: 100, 99, 98, 12, 3. The Kayne Ave yard is also here in this area, which houses some frieght and some switcher engines. The tracks to the old shed are covered and removed. The Union Station is not an active station, but a historic hotel. Crew change usually occurs at the "walkway" which is under the Demombreun St bridge by the Kayne Ave Tower. This is also where the Ex-NC&StL Chattanooga Subdivision begins. Then tracks run south to Fogg St/South End where things get complicated. At milepost 000/0BA/00J187 the 98 track merges into the 12 track, making for 3 tracks now. There is a crossover from 99 to 12, also a crossover from 12 to 3. About 2/10ths of a mile down the 99 merges into the 12 track reducing the tracks back to the regular double. About 4/10ths of a mile down the line from Fogg St, 000187.4, Oak St, is a crossover track from #2 to #1 (the track names are no longer 3 and 12, but are back to regular names). When trains use this crossover northbound, such as Memphis bound trains from the A-2 line, they refer to it as "Long Lead". And now, the Terminal splits into two parts. The right side turns into a single track shortly, and will become the Chattanooga Subdivision, and the left side runs south to Brentwood. The right track runs single shortly until double track for a while. This begins part of the Chattanooga Sub or J-Line. The #2 meets with the A-2 connection track at 00J2.2 known as A-2. Speed is now increased to 40. Commonly northbounds will stage at 4th Ave on the #1 to await clearance. Now about a mile down the #1 meets the A-1 connection line. At 00J3.6 known as A-1. Further down the double track ends at Glencliff (00J4.9). Now it runs single for three miles until it hits Danley, which has the D Line connection track, which is an arrival track for incoming Radnor trains from the J Line. At Danley, the Terminal ends but the same dispatcher handles traffic, "SC". At Oak Street, our main terminal line goes south two miles to 000189.0 known as Criaghead or Vine Hill. There is a crossover here from #1 to #2 track. And there is also a connection/delivery track to the Nashville and Eastern Railroad which connects the Tennessee Central Railroad Museum to a major railroad. Trains sometimes stop on the #2 before Craighead if they are waiting to enter Radnor yard. Sometimes trains wait on the #1 at the Berry Road crossing if they await arrival to Kayne Ave. At this point, speed has been increased to 30 from 10. Moving south, the line hits Radnor Yard at 000192. The #2 track meets the E-Line arrival track which most Memphis trains and locals use. The B-Line which meets the #1 track is used for departures out of the C yard and local jobs. At Mayton, 000192.3, the B line meets the #1 track, and there is a crossover track from #2 to #1. Speed is now at 40. 2 miles south, at 000194.0, South Radnor, the next intersection is present. This is where the Radnor A yard meets the main. There is a single departure/arrival track that meets the #2 track along with a crossover from #1 to #2 track. Commonly, the #2 track south of the signals is used to halt trains. This location is known as TVA, because of the power station that is adjacent. From here the Terminal runs about 2.5 miles south until we hit the southern tip. The tracks converge onto one single main, at 000/0BA196.6 known as Brentwood. Speed is increased to 50 and jurisdiction to the S.E. dispatcher. The right track is the main, S&NA North, while the left track is the Nashville Subdivision which runs to Columbia and exchanges freight with the TSRR. The Nashville Terminal Subdivision is one of the busiest locations on the CSX network, and one of the most important. Context_10 : Sarah K. Peake is an American politician from the Commonwealth of Massachusetts. A Democrat, she has served in the Massachusetts House of Representatives since 2007. She represents the Fourth Barnstable district, a Cape Cod district that includes her hometown of Provincetown. She previously served on the Provincetown Board of Selectmen. fact_1 : Henry Paddack (April 2, 1838 – 1920) was an American businessman and politician who served as the Treasurer; a member of the Board of Selectmen of Nantucket, Massachusetts and as a member of the Massachusetts House of Representatives. fact_2 : Nantucket is an island about 30 mi by ferry south from Cape Cod, in the American state of Massachusetts. Answer: Nantucket, Massachusetts
Output: What location is 30 miles south of Cape Cod, and was where Henry Paddack was a member of the Board of Selectmen?
Input: Consider Input: Context_1 : The Falls Church (Anglican) is an Anglican parish in the city of Falls Church, Virginia near Washington, D.C.. In 2006, the congregation of The Falls Church divided over the question of whether or not to leave the Episcopal Church, effectively creating two congregations: The Falls Church (Anglican) and The Falls Church (Episcopal). Context_2 : Skyline Mall was a small enclosed shopping mall located among the high rises of Bailey's Crossroads in Falls Church, Virginia. It opened on the site of the former Washington-Virginia Airport and the Sunset X-rated drive-in theater. in 1977 to join the offices of Skyline City. At its peak, the mall comprised more than thirty tenants, including a Safeway supermarket and Rite Aid drugstore, and a twelve-screen cinema. Other major chain tenants that formerly operated at the mall included Dress Barn and B. Dalton. The mall was purchased in 2002 by discount retailer Target Corporation, who replaced the majority of the complex (except for a fitness center on the second level) with a Target store. Context_3 : B. Dalton Bookseller (often called B. Dalton or B. Dalton's) was an American retail bookstore chain founded in 1966 by Bruce Dayton, a member of the same family that operated the Dayton's department store chain. B. Dalton expanded to become the largest retailer of hardcover books in the United States, with 798 stores at the peak of the chain's success. Context_4 : State Route 237 (SR 237) is a primary state highway in the U.S. state of Virginia. The state highway runs 13.07 mi from SR 236 in Fairfax east to U.S. Route 50 (US 50) in Arlington. SR 237 connects Fairfax and Arlington with Falls Church. Between Fairfax and Falls Church, the state highway mostly runs concurrently with US 29. East of Falls Church, SR 237 parallels Interstate 66 (I-66) and connects several of Arlington's urban villages. Context_5 : This article is about the history of Falls Church, an independent city in Virginia, USA, in the Washington Metropolitan Area. The city population was 12,332 at the 2010 census. Taking its name from The Falls Church, an 18th-century Church of England (later Episcopal Church) parish, Falls Church gained township status within Fairfax County in 1875. In 1948, it was incorporated as the City of Falls Church, an independent city with county-level governance status. It is also referred to as Falls Church City. Context_6 : The Cherry Hill Farmhouse is a house museum in Falls Church, Virginia, United States. Built in 1845 in a Greek Revival architecture style, it belonged to wealthy farmer families until 1945, and in 1956 it became property of the City of Falls Church, which transformed it into a museum, as a historical building. Today, the Cherry Hill Farmhouse, along with other five such constructions in Falls Church City, is part of the National Register of Historic Places, as an important testimony of 19th century Victorian buildings in the area. Context_7 : The Falls Church News-Press is a weekly newspaper based in Falls Church, Virginia. The periodical was founded in 1991 by Owner/Editor-in-Chief Nicholas F. Benton, who has repeatedly referred to it in editorials as the City's "paper-of-record." The periodical has its roots in his presentation to the local Chamber of Commerce, where, according to his interview with Equality Virginia, he presented his plan to advertise the local companies' services. He left that night with the Chamber’s endorsement and a list of 250 businesses to approach. One hundred thirty agreed to support the periodical with their advertising. With a stack of their postcards pledging support as collateral, Benton secured seed money to start the "Falls Church News-Press" Context_8 : Lawrence Webb is an academic administrator and politician from Falls Church, Virginia. He was elected in 2008 to the Falls Church City Council, becoming the first openly gay, African-American elected official in the Commonwealth of Virginia. He ran for re-election in 2012 but lost. He was elected to the Falls Church City School Board in November 2013. Context_9 : Falls Church High School (FCHS) is a high school located in West Falls Church, unincorporated Fairfax County, Virginia. While the school has a Falls Church, Virginia mailing address, the school does not serve the City of Falls Church, which is served by George Mason High School. Principal Mike Yohe served two years as assistant principal for FCHS before being promoted to his current position during the summer of 2013 upon the departure of former principal Cathy Benner. The school serves grades 9 through 12. It was relocated from its former site in downtown Falls Church to this address in 1967. Falls Church High's school motto is "Building on Our Success". The mascot for the school is a Jaguar. The school colors are dark green and white. Context_10 : George Mason High School (GMHS) is a comprehensive public high school serving the independent City of Falls Church. Until January 2014, it was located in Idylwood, an unincorporated area of Falls Church, in Fairfax County, Virginia, adjacent to Falls Church City. As part of Fairfax Water's agreement to purchase the Falls Church Water System, the parcel with GMHS was transferred to Falls Church City. fact_1 : Skyline Mall was a small enclosed shopping mall located among the high rises of Bailey's Crossroads in Falls Church, Virginia. fact_2 : Other major chain tenants that formerly operated at the mall included Dress Barn and B. Dalton. fact_3 : B. Dalton Bookseller (often called B. Dalton or B. Dalton's) was an American retail bookstore chain founded in 1966 by Bruce Dayton, a member of the same family that operated the Dayton's department store chain. Answer: Skyline Mall
Output: Which mall in Falls Church, Virginia hosted major chain tenants such as Dress Barn and B. Dalton department store?
Input: Consider Input: Context_1 : Zizi Strallen, born Sylphide Charity Vaigncourt-Strallen, is a British actress best known for playing Mary Poppins in the Cameron Mackintosh theatrical production of "Mary Poppins". Context_2 : Death of a Salesman is a 1996 television film adapted from the play of the same name by Arthur Miller. It was directed by David Thacker and starred Warren Mitchell as Willy Loman. Mitchell reprised the role for which he had won the West End theatre Laurence Olivier Award for Actor of the Year in a Revival in 1979. Context_3 : Love's Victory is a Jacobean era pastoral closet drama written circa 1620 by English Renaissance writer Lady Mary Wroth. The play is the first known original pastoral drama and the first original dramatic comedy written by a woman. It is written primarily in rhyming couplets. There are only two known manuscripts of "Love's Victory", one of which is an incomplete version located in the Huntington Library in San Marino, California. The other version is complete, and is the Penshurst Manuscript which is owned by Viscount De L'Isle, indicating continued ownership by the Sydney family since its creation. The play is not as widely read as Wroth's prose work "Urania" or her romantic sonnet sequence "Pamphilia to Amphilanthus", but has been receiving more attention with the increasing interest in early modern women writers. Context_4 : All My Sons is a 1947 play by Arthur Miller. It opened on Broadway at the Coronet Theatre in New York City on January 29, 1947, closed on November 8, 1949 and ran for 328 performances. It was directed by Elia Kazan (to whom it is dedicated), produced by Elia Kazan and Harold Clurman, and won the New York Drama Critics' Circle Award. It starred Ed Begley, Beth Miller, Arthur Kennedy, and Karl Malden and won both the Tony Award for Best Author and the Tony Award for Best Direction of a Play. The play was adapted for films in 1949 and 1987. Context_5 : The Archbishop's Ceiling is a drama written in the 1970s by Arthur Miller. It was originally produced at the John F. Kennedy Center in 1977, but failed to attract the attention of Broadway. Miller subsequently re-worked the play, with a revised script premiering at Cleveland Play House in 1984 under the direction of Jonathan Bolt. Context_6 : The Crucible is a 1996 American historical drama film written by Arthur Miller adapting his play of the same title, inspired by the Salem witchcraft trials. It was directed by Nicholas Hytner and stars Daniel Day-Lewis as John Proctor, Winona Ryder as Abigail Williams, Paul Scofield as Judge Thomas Danforth, Bruce Davison as Reverend Parris, and Joan Allen as Elizabeth Proctor. Much of the filming took place on Choate Island in Essex, Massachusetts. Context_7 : The Final Close-Up is a 1919 American silent drama film directed by Walter Edwards and written by Royal Brown and Julia Crawford Ivers. The film stars Shirley Mason, Francis McDonald, James Gordon, Betty Bouton, Eugene Burr, and Mary Warren. The film was released on May 18, 1919, by Paramount Pictures. It is not known whether the film currently survives. Context_8 : Super Chief: The Life and Legacy of Earl Warren is a 1989 American documentary film directed by Bill Jersey and Judith Leonard about Chief Justice Earl Warren. It was nominated for an Academy Award for Best Documentary Feature. The cast included Gregory Peck, Robert Bork, William Brennan, Thurgood Marshall, and Arthur Miller. Context_9 : Karron Graves is an American actress best known for playing Mary Warren in Arthur Miller’s 1996 screen adaptation of "The Crucible", starring Daniel Day-Lewis and distributed by 20th Century Fox. In tandem with her performance credits, she teaches acting at NYU Tisch and the American Musical and Dramatic Academy. Context_10 : Mary Lou Kolbenschlag (born March 15, 1992) is an American actress. She is best known for playing Mary Ferry on the Nickelodeon television series "Unfabulous", also starring Emma Roberts. fact_1 : Karron Graves is an American actress best known for playing Mary Warren in Arthur Miller’s 1996 screen adaptation of "The Crucible", starring Daniel Day-Lewis and distributed by 20th Century Fox. fact_2 : The Crucible is a 1996 American historical drama film written by Arthur Miller adapting his play of the same title, inspired by the Salem witchcraft trials. Answer: The Crucible
| Output: Karron Graves is best known for playing Mary Warren in what 1996 histroica drama written by Arthur Miller?
| 2 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.9820359945297241,
0.46464967727661133,
-0.7135991454124451,
-0.26914137601852417,
0.6344792246818542,
-1.016136884689331,
0.6570038199424744,
0.49325674772262573,
-0.6787534356117249,
0.025476709008216858,
-0.034925807267427444,
0.2449522316455841,
-0.08186282962560654,
-0.23809286952018... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
News Headline: France is ‘ hunting down its citizens who joined {Isis} without trial in Iraq
Edit: twins
Solution: Not Funny
Why? The edited sentence is not making much sense, therefore it's not funny.
New input: News Headline: The Latest : Ethics panel finds probable cause gov broke {law}
Edit: lamp
Solution: | Funny | 0 | NIv2 | task495_semeval_headline_classification | fs_opt | [
0.10861974954605103,
0.41007858514785767,
0.5332709550857544,
-0.11086735874414444,
-0.020412778481841087,
-0.34654420614242554,
0.34140080213546753,
0.6648006439208984,
-0.15411242842674255,
0.16995194554328918,
-0.44109705090522766,
-0.29118216037750244,
-0.43400317430496216,
0.118288867... |
Q: You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "acceptable", otherwise "unacceptable".
Joe's neuroses bother his patrons, and Sally's neuroses do too.
A: | acceptable | 7 | NIv2 | task616_cola_classification | zs_opt | [
-0.9442111253738403,
0.5920405387878418,
0.6690644025802612,
-0.10498999804258347,
-0.019263481721282005,
-1.2881063222885132,
0.08385086804628372,
0.5982140302658081,
0.3100907504558563,
0.24838316440582275,
-0.6135013699531555,
-0.3743009567260742,
-0.2108517289161682,
-0.343230664730072... |
Definition: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
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: Command: and { only { filter_eq { all_rows ; previous conference ; three rivers } } ; eq { hop { filter_eq { all_rows ; previous conference ; three rivers } ; school } ; caston } }, interpretation: select the rows whose result record fuzzily matches to w . select the row whose date record of these rows is 1st minimum . the opponent record of this row is miami dolphins .
Output: | no | 2 | NIv2 | task211_logic2text_classification | zs_opt | [
0.10805588960647583,
-0.36167240142822266,
-0.36103251576423645,
0.22539940476417542,
0.36457476019859314,
-0.6798853874206543,
0.03786805272102356,
0.4244760572910309,
0.19578152894973755,
-0.11453268676996231,
-0.2561298608779907,
0.055896271020174026,
0.2500007748603821,
0.2504545450210... |
Detailed Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
Q: @mattstottwrites For me not so much outrage as ‘oh, using female body to sell something, AGAIN’
A: | Angry | 9 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | zs_opt | [
-0.952629566192627,
0.03377637639641762,
0.3352535367012024,
0.33170491456985474,
0.31144994497299194,
-1.0057501792907715,
-0.15771439671516418,
0.33974456787109375,
0.43017399311065674,
0.5350626111030579,
0.057979732751846313,
-0.05638071149587631,
-0.40091562271118164,
-0.2723142504692... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Example: Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducibile su scala.
Output: Why? Because that profit allows whatever solution we've created to be infinitely scalable.
The Italian sentence is correctly translated into English, because the meaning is preserved.
New input case for you: Ma nel nostro paese, in questo paese, USA-land, ci sono di certo alcuni Lester buoni, molti dei quali sono in questa sala oggi, ma la gran parte dei Lester agiscono per i Lester, perché le coalizioni in movimento che comprendono lo 0,05 percento non vi includono anche l'interesse pubblico.
Output: | But in our land, in this land, in USA-land, there are certainly some sweet Lesters out there, many of them in this room here today, but the vast majority of Lesters act for the Lesters, because the shifting coalitions that are comprising the .05 percent are not comprising it for the public interest. | 1 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.4779583811759949,
0.6848981976509094,
0.1876174956560135,
0.19873465597629547,
0.03547421097755432,
-0.3209393620491028,
-0.32096192240715027,
1.0991078615188599,
0.35224056243896484,
0.23233820497989655,
-0.4751051068305969,
0.6642422080039978,
-0.5036371946334839,
-0.18289105594158173... |
Given a sentence in Bulgarian, generate a new Bulgarian 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 Input:
Някои цветя са отгледани в ясли.
Ex Output:
Някои цветя са отгледани в зелени къщи.
Ex Input:
Възможно е да имате баня с тоалетна в кутия.
Ex Output:
Вие сте най-вероятно да се сблъскате с баня в една лекция.
Ex Input:
Възможно е да вдигнете завеса в телевизионна зала.
Ex Output:
| Вероятно ще откриете завеса в хотелска стая.
| 1 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
-0.3919614553451538,
0.40729305148124695,
-0.16622859239578247,
-0.0048810020089149475,
-0.19577163457870483,
-0.3980787992477417,
0.5434983968734741,
1.5059232711791992,
0.16281576454639435,
-0.034641727805137634,
-0.9058476686477661,
1.310344934463501,
-0.5451231002807617,
0.260844022035... |
Part 1. Definition
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
Part 2. Example
How do you remove keys from a computer keyboard for cleaning?
Answer: Place the tip of a knife under the corner of a key and gently twist to pop it off.
Explanation: The process of removing keys from a keyboard for cleaning is descriptive and logical.
Part 3. Exercise
How do I fix the L-profile on the board ?
Answer: | Place the L-profile on the board and using a drill press, drill a 1/8 inch hole through the L and through 1 inch of the board. Then screw the screw in the hole with a screwdriver. | 7 | NIv2 | task080_piqa_answer_generation | fs_opt | [
-0.2124565988779068,
0.8222935199737549,
-0.5030906200408936,
0.02865610644221306,
-0.2371562421321869,
0.46145468950271606,
0.4680553674697876,
0.01995909959077835,
0.13881617784500122,
-0.22979004681110382,
-0.23936890065670013,
0.15058518946170807,
-0.10290509462356567,
0.44971203804016... |
Detailed Instructions: This task is about translating a given Spanish language sentence to English.
See one example below:
Problem: Leeuwenhoek y Huygens... ...fueron abuelos de la medicina moderna:
Solution: Leeuwenhoek and Huygens... ...are the grandfathers of much of modern medicine.
Explanation: This is a good example because the Spanish sentence has been translated correctly to English.
Problem: Uh cariño, estamos muy arriba ahora, whoa Hasta que nuestras preocupaciones terminen con nuestro dolor
Solution: | Oh, oh, our home is the sky now | 4 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.7955276370048523,
0.644066333770752,
0.16975037753582,
-1.0670809745788574,
-0.4551731050014496,
-0.8973091840744019,
0.6601784229278564,
0.8481255769729614,
0.6775178909301758,
-0.8184100389480591,
-0.3189103603363037,
1.1903316974639893,
-0.14918507635593414,
0.41190099716186523,
0.... |
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