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 |
|---|---|---|---|---|---|---|
Teacher: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 list all elements of A from the ith element to the jth element in the reverse order. 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.
Teacher: Now, understand the problem? Solve this instance: 4, 8, ['1481', 'Y', '1073', 'w', '6005', 'S', '2585', 'L', '2343', '5983', '4043', 'C', 's', 'o', 'b', '9573', '4915', '5947', 'D', 'U']
Student: | L, 2585, S, 6005, w | 6 | NIv2 | task099_reverse_elements_between_index_i_and_j | zs_opt | [
-0.6507406234741211,
0.5025445222854614,
-0.6240715384483337,
-0.4202479124069214,
-0.2989208698272705,
-0.6047899127006531,
0.17712929844856262,
-0.12411018460988998,
-0.44727790355682373,
0.19245117902755737,
-0.6291848421096802,
0.10711538791656494,
0.30372944474220276,
-0.4804957807064... |
Part 1. Definition
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Part 2. Example
I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.
Answer: Positive
Explanation: It's a positive review because the owner of the dog is satisfied with the product and mentioned that their dog appreciates the product.
Part 3. Exercise
Thought I'd try these because it's a good price, but the chocolate flavor is not that good. And the sucralose taste is very strong. I like the Swiss Miss Hot Chocolate ones better, even though those have sucralose too, you can't really taste it.
Answer: | Negative | 7 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
-0.18233516812324524,
-0.28736287355422974,
0.38744935393333435,
-0.01312108151614666,
0.4260190427303314,
0.12678614258766174,
1.0347931385040283,
-0.09091011434793472,
-0.06367843598127365,
0.09305877238512039,
-0.01025514118373394,
-0.15825699269771576,
-0.6636335253715515,
-0.403482675... |
Definition: You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an understanding of the relationship described in the background paragraph and the story. You need to come up with an answer to the given question; the answer will be a span from either the question or the story. In order to correctly answer the given question, you need to understand the relationship mentioned in the background paragraph and should be able to use it to understand that in the story. Your answer can not consist of any word that is not mentioned in any of these: the background paragraph, the story, or the question. You can directly copy and paste a span from the story or the question while answering the given question.
Input: Background Paragraph: Capital flight, in economics, occurs when assets or money rapidly flow out of a country, due to an event of economic consequence. Such events could be an increase in taxes on capital or capital holders or the government of the country defaulting on its debt that disturbs investors and causes them to lower their valuation of the assets in that country, or otherwise to lose confidence in its economic strength.
This leads to a disappearance of wealth, and is usually accompanied by a sharp drop in the exchange rate of the affected country—depreciation in a variable exchange rate regime, or a forced devaluation in a fixed exchange rate regime.
This fall is particularly damaging when the capital belongs to the people of the affected country, because not only are the citizens now burdened by the loss in the economy and devaluation of their currency, but probably also, their assets have lost much of their nominal value. This leads to dramatic decreases in the purchasing power of the country's assets and makes it increasingly expensive to import goods and acquire any form of foreign facilities, e.g. medical facilities.
Story: Nirvania continued to develop and became a first world country by 2025. Its economic strength and the accumulation of capital, led to prosperity and citizen happiness. On the other side of the river, Borania, however, decided to return to dictatorship and it's citizens and investors started to lose hope and move their capital to foreign accounts and investments.
Question: Which country experienced higher inflation?
Output: | Borania. | 2 | NIv2 | task061_ropes_answer_generation | zs_opt | [
0.31947898864746094,
0.588373064994812,
0.1578928530216217,
-0.21229368448257446,
0.3610283434391022,
0.1857956200838089,
0.968446671962738,
0.9238172173500061,
-0.9114910364151001,
0.4057437777519226,
-0.8182713985443115,
0.41424357891082764,
-1.012818455696106,
0.16852834820747375,
-0.... |
Given the task definition and input, reply with output. You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
System Reference: pickwick hotel is located at 85 5th st and the phone number is 4154217500.
Original Reference: the pickwick hotel 's address is 85 5th st and can be reached at 4154217500.
| 0 | 5 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-0.8019120693206787,
0.6731524467468262,
-0.4818313717842102,
-0.00821248535066843,
-0.13441403210163116,
-0.4976215362548828,
0.6172252893447876,
-0.14583568274974823,
0.29465413093566895,
0.07768930494785309,
-0.5389900803565979,
0.1630677431821823,
-0.7511221170425415,
0.192400559782981... |
Instructions: Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.
Input: Abstract: Mechanical ventilation was able to induce a decrease in cardiac output and regional blood flow, especially hepatic flow. Thus, hepatic elimination of drugs with a high hepatic-extraction ratio, which was linked to alteration in hepatic blood flow, could be reduced during mechanical ventilation. The aim of this work was to determine the effect of mechanical ventilation on pharmacokinetic parameters of lidocaine, which is a well-known nonrestrictive elimination drug at the hepatic level. Five patients (mean age, 58 years) with normal hepatic function and quite similar gasometric parameters before and after weaning from mechanical ventilation were studied. With a washout period of 48 hours between mechanical ventilation and spontaneous ventilation, each patient was submitted to the following protocol: lidocaine in a bolus (1.5 mg/kg intravenously), followed by infusion (1.0 to 1.7 mg/min for 120 minutes). The results were that the peak plasma concentration after the bolus during mechanical ventilation was 3.22 +/- 0.37 mg/L (mean +/- SE) vs 2.40 +/- 0.35 mg/L during spontaneous ventilation (p less than 0.02). Steady-state plasma concentration during mechanical ventilation was 2.10 +/- 0.20 mg/L vs 1.64 +/- 0.16 mg/L during spontaneous ventilation (p less than 0.01). Total clearance was 604.2 +/- 87.0 ml/min during mechanical ventilation vs 775.0 +/- 112.1 ml/min during spontaneous ventilation (p less than 0.01). Elimination half-life was 245.2 +/- 50.6 minutes during mechanical ventilation vs 160.0 +/- 40.6 minutes during spontaneous ventilation (p less than 0.05). Distribution volume was 188.6 +/- 50.2 L during mechanical ventilation and 183.0 +/- 50.8 L during spontaneous ventilation (not significant). These preliminary data clearly demonstrated a decrease in lidocaine elimination in patients submitted to mechanical ventilation, but the magnitude of dosage adjustment of such a highly hepatic-extracted drug in patients submitted to mechanical ventilation remains to be investigated.
Output: | Adult | 3 | NIv2 | task620_ohsumed_medical_subject_headings_answer_generation | zs_opt | [
0.8465772271156311,
0.21002210676670074,
-0.7867907285690308,
0.16263052821159363,
0.8274931907653809,
-0.5670760869979858,
0.355032354593277,
0.6924290657043457,
0.08337163180112839,
0.5853140950202942,
-0.4322514832019806,
0.40781170129776,
-0.28089970350265503,
0.09042374044656754,
-0... |
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Example: My boyfriend (well just call him M) and I are creators on Instagram (he is also on TikTok). I'm a digital and traditional artist and in one of my classes we create t shirts and things (socks, lanyards, water bottles, stickers, you name it). I'm a big fan of putting my art on t shirts so I can sell them.
M wanted to make some posts for TikTok and wanted to use the shirt I made today. My one personal rule is that if the shirt isn't being given to someone else, then I wear it first (this is because I know I wont get it back. Ive made one other shirt that I've worn, and he wore it for a week and hasn't given it back.) So I told him no, because I haven't worn the shirt yet.
M proceeded to complain about not having content to post, and how his IG post today didn't get any engagement, saying "of course you dont know, because you never look."
Am I the asshole for wanting to wear the shirt I made just once?
Example solution: wanting to wear a shirt
Example explanation: The paragraph describes an argument of the author with her boyfriend regarding not wanting to give the shirt she just made before wearing herself. This desire to wear the shirt raises the ethical situation.
Problem: This might be better suited for another subreddit but I’m really at a loss. For some background, I have pretty bad social anxiety, not enough that I never go out, but enough that I avoid going out if possible. I was talking to my current roommate about how I hated telling my old roommate that I didn’t really want to hang out and she laughed and jokingly said, “You better not do that to me next year.” For whatever reason, I was honest and said that I probably would (I can’t remember how I said it but I did try to be light-hearted). Now, she’s really upset and asking what’s the point of being friends now if we won’t be friends next year and I’m trying to explain that we’ll still be friends, but it’s just very hard for me to talk to people, no matter how close we are. So, am I the asshole?
| Solution: not wanting to hang out that much with my very extroverted roommate | 5 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.00850682146847248,
-0.07472609728574753,
-0.0009995477739721537,
0.346001535654068,
0.5492158532142639,
-0.5517687201499939,
0.03750483691692352,
0.4862568974494934,
-0.7780264019966125,
0.3997257947921753,
-0.040647439658641815,
0.39866843819618225,
-0.5171715617179871,
0.05705470219254... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Sentence 1: A group of Asian people are walking on a busy street. Sentence 2: A bunch of Asians are walking down the street.
The group of people are seated in the restaurant.
Sentence 1: With flowers in the foreground, a man in a blue striped shirt bikes past a large white building. Sentence 2: A man riding his bike in front of buildings outside.
A man walks in the countryside, picking up flowers from the side of the road.
Sentence 1: A blond-haired boy in his pajamas sits on a red chair next to a black guitar and looks at a book. Sentence 2: The blonde boy sat next to the guitar and book.
| The boy was sitting on a blue chair.
| 0 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | fs_opt | [
0.10406048595905304,
0.4714687466621399,
-0.22974634170532227,
-0.6910197138786316,
0.022270534187555313,
-0.21603477001190186,
0.2843003571033478,
0.582252025604248,
0.49119094014167786,
-0.009989071637392044,
-0.7618680000305176,
-0.2929844260215759,
-0.1922193467617035,
0.03985081240534... |
Definition: In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it will be labeled as 'Favor' also if the tweets state information or news rather than stating opinion then it will be characterized as 'Neutral'.
Input: Tweet: RT @cdrvng: No podran res davant d'un poble unit alegre i combatiu! Enllaçada popular! #NoPassaran #LlibertatPresosPolítics https://t.co/…
Output: | Favor | 2 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | zs_opt | [
0.09699101001024246,
0.44318968057632446,
-0.000978922238573432,
0.3431047201156616,
-0.2799317240715027,
-1.1340346336364746,
0.32923024892807007,
0.8836910724639893,
0.20161360502243042,
0.47633442282676697,
-0.6232168674468994,
-0.2967097759246826,
-0.20427973568439484,
-0.6881387233734... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. For example, X may get hugged, and Y may blush in response. 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.
--------
Question: Head: PersonX asks PersonY's grandma<sep>Tail: to answer the question
Answer: No
Question: Head: PersonX greets PersonY warmly<sep>Tail: gains a friend
Answer: Yes
Question: Head: PersonX bears ___ unto the PersonY<sep>Tail: commanding
Answer: | No
| 7 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
0.6273912191390991,
0.4072690010070801,
0.27967697381973267,
-0.06699827313423157,
-0.5131381154060364,
-1.3226807117462158,
1.1529964208602905,
0.5565801858901978,
-0.16946248710155487,
-0.35329386591911316,
-0.43470466136932373,
-0.18551494181156158,
-0.7798787355422974,
0.26944357156753... |
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Example: Problem: a multiple choice test consists of 4 questions, and each question has 5 answer choices. in how many r ways can the test be completed if every question is unanswered ?
Options: a. 24, b. 120, c. 625, d. 720, e. 1024
Example solution: c
Example explanation: 5 choices for each of the 4 questions, thus total r of 5 * 5 * 5 * 5 = 5 ^ 4 = 625 ways to answer all of them. Hence, the answer is c.
Problem: Problem: a box contains 21 electric bulbs, out of which 4 are defective. two bulbs are chosen at random from this box. the probability that at least one of these is defective is
Options: a. 4 / 19, b. 7 / 19, c. 12 / 19, d. 21 / 95, e. 31 / 88
| Solution: e | 5 | NIv2 | task1678_mathqa_answer_selection | fs_opt | [
0.6291143894195557,
0.25113919377326965,
0.2515299916267395,
0.007156009785830975,
0.43823254108428955,
-0.14038729667663574,
1.0713012218475342,
0.9298094511032104,
-0.3872164785861969,
0.17606252431869507,
-0.3839641213417053,
0.23653356730937958,
-0.16455760598182678,
-0.006252081133425... |
Given the task definition and input, reply with output. 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".
Japanese: アップルのスポークスマンであるスティーブ・ダウリングは、「アップルはサプライチェーン全体のコンディションが安全で、労働者が尊敬と威厳をもって遇されるように保証することを約束する」と述べた。
Bahasa Indonesia: "Apple sangat berkomitmen untuk memastikan bahwa kondisi di seluruh rantai pasokan kami aman dan para pekerja diperlakukan dengan hormat dan dihargai, " kata Steve Dowling, juru bicara Apple.
| Yes | 5 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.5372357368469238,
0.48054027557373047,
-0.2408764511346817,
-0.1004343032836914,
-0.37734121084213257,
-0.05412019044160843,
0.2969852089881897,
-0.16428028047084808,
-0.030096570029854774,
-0.14906218647956848,
-0.46876001358032227,
0.6205438375473022,
-0.7123722434043884,
0.0204066149... |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Q: All Lives do matter and we can do a much better job of displaying this and encouraging one another to know our worth. nLet us continue to fight to end human trafficking and support every survivor. nTo support my fundraising efforts with the Araminta Race Against Traffick
A: Not Hope Speech
****
Q: There's more black ppl who died cuz of the police.. It's not only George.
A: Not Hope Speech
****
Q: @Gary Olsen I'm still waiting to move on. Many people have died since Floyd. Plus
A: | Not Hope Speech
****
| 4 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
-0.1586756706237793,
-0.07153056561946869,
0.30179738998413086,
0.018425043672323227,
-0.6052685976028442,
-1.0999212265014648,
0.30014246702194214,
1.0943803787231445,
-0.07814968377351761,
0.5251040458679199,
-0.5042836666107178,
0.07727103680372238,
-0.3691100478172302,
0.22112187743186... |
Given the task definition, example input & output, solve the new input case.
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found directly from the passage.
Example: Passage: Omelettes make a great breakfast , and I enjoy making them because they are very easy to cook . First , I get the eggs out and begin cracking them on the side of the bowl and dumping them into the bowl . I normally use two eggs whites and one whole egg to cut the calories . I add some salt and pepper to the mix for flavor . I pour the mixture into the hot frying pan . I make sure that I add some vegetable oil to the pan before I add the eggs though because I do n't want them to stick . As this occurs , I add some cheese or vegetable to the center of the egg mixture . Really , almost any type of cheese or vegetable makes a good omelette . I then flip one side of the omelette over on to itself to seal in the contents in the middle . It is then ready to serve ! Question: How many times is the omelette flipped? Option1: three times Option2: once
Output: once
As mentioned in the passage that I then flip one side of the omelette; it is clear that omelette is flipped one time only.
New input case for you: Passage: Whenever my friends come over , I try and make sure they have a good time . One of the ways I do this is to make sure they always have something to drink . As the host , I take it upon myself to get this drink and then serve it to them . Once they know what they have to choose from , they tell me which drink they prefer . I then go to the kitchen and get the drink . For instance , if they ask for cola , I pull the bottle of cola from the fridge . If they say yes , I remove two cubes from the freezer and place them in a glass . I then pour the cola into the glass , over the ice . Once the glass is filled , I place the cola back into the fridge and then bring them the glass filled with their drink . Question: What items are on the list? Option1: Foods Option2: drink items
Output: | drink items | 1 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.802712619304657,
0.5362231731414795,
-0.4279094934463501,
0.8479952812194824,
0.14287859201431274,
-0.07500603795051575,
0.7934165000915527,
0.962405800819397,
-0.5431311130523682,
-0.14995676279067993,
-0.03134608268737793,
-0.22187355160713196,
-0.3015311360359192,
0.025431768968701363... |
TASK DEFINITION: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
PROBLEM: I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN I_WALK I_WALK I_WALK
SOLUTION: run opposite right twice and walk thrice
PROBLEM: I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_LOOK
SOLUTION: walk around left and look
PROBLEM: I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_RIGHT
SOLUTION: | turn right after look opposite left
| 8 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.4127027988433838,
0.5055338144302368,
-0.5267525911331177,
0.14396637678146362,
-0.20295467972755432,
0.6555669903755188,
0.3126510679721832,
0.3209295868873596,
-0.2957480847835541,
-0.21388764679431915,
-0.6399951577186584,
-0.15865115821361542,
-0.47574132680892944,
0.1694318205118179... |
Part 1. Definition
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is located or can be found at/in/on the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Part 2. Example
Head: coupon<sep>Tail: market
Answer: Yes
Explanation: This is a good example. The Head can be found at the Tail.
Part 3. Exercise
Head: cat<sep>Tail: sister in law's house
Answer: | Yes | 7 | NIv2 | task1207_atomic_classification_atlocation | fs_opt | [
0.3731752038002014,
0.20417310297489166,
0.12817269563674927,
0.035553399473428726,
-0.40291064977645874,
-0.6383144855499268,
0.9831116199493408,
0.40062522888183594,
-0.5597745776176453,
-0.42456167936325073,
-0.5670725703239441,
-0.20905530452728271,
-0.7239946126937866,
0.2778950333595... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
[EX Q]: どこを取っても創意に富んでいます 1000年前に現れた楽器であることを考えればなおのことです元々は2人で演奏しました 1人がクランクを回しもう1人が大きな木のペグを物理的に引き上げることで旋律を弾きました
[EX A]: Wszystko to jest całkiem innowacyjne, biorąc pod uwagę to, że lira korbowa powstawała około 1000 lat temu, i wymagała 2 osób do grania: jedna osoba kręciła korbą, a druga grała melodię fizycznie pociągając za duże drewniane kołki.
[EX Q]: それはこれまで人類が少なくとも 29回アップグレードしてきたからです
[EX A]: Ponieważ do tej pory było co najmniej 29 takich udoskonaleń humanoidów.
[EX Q]: 健康には際立った教育が含まれます
[EX A]: | Częścią tego zdrowia jest znakomite wykształcenie.
| 6 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
-1.040781021118164,
0.4051133990287781,
-0.592725932598114,
0.2917703688144684,
0.027725623920559883,
-0.4007647633552551,
0.4675556421279907,
-0.03357416018843651,
-0.3956596553325653,
-1.0681127309799194,
0.08558470010757446,
0.47198551893234253,
-0.7549028396606445,
0.13486739993095398,... |
Q: 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.
Category: food
Words: pork, vittles, frank, sausage, stern
A: | stern | 7 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
-0.28935790061950684,
0.3780813217163086,
0.174037903547287,
0.3685570955276489,
0.03207510709762573,
0.563523530960083,
0.38900133967399597,
0.23113323748111725,
0.5907297730445862,
-0.39390435814857483,
0.2845228910446167,
-0.4963223338127136,
-0.905560314655304,
0.7184048891067505,
0.... |
Detailed Instructions: In this task you are expected to write an SQL query that will return the data asked for in the question. 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.
Problem:Find the name and training hours of players whose hours are below 1500.
Solution: | SELECT pName , HS FROM Player WHERE HS < 1500 | 8 | NIv2 | task107_splash_question_to_sql | zs_opt | [
0.6771211624145508,
0.1507580280303955,
-1.2239893674850464,
0.9245948195457458,
-0.471111923456192,
-0.17247092723846436,
0.8120490908622742,
1.0995266437530518,
-0.4954460859298706,
0.37335097789764404,
0.036433469504117966,
0.24222159385681152,
-0.0007222872227430344,
0.3191144168376922... |
In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Article: We found out that Jenny was suffering hearing loss when she was four and a half years old. Several operations and speech classes later, when she was seven, we found out that Jenny had Juvenile Rheumatoid Arthritis . She could not put pressure on the heels of her feet, so she walked on tiptoe , and when the pain became unbearable, I carried her. Jenny was fortunate, though, because she did not suffer the deformities , often associated with JRA. All through grade school, and on into high school, Jenny suffered, yet never complained. She took her medicine, and I would often wrap her feet in steaming towels, and hold her until the pain eased. But, as soon as she could stand the pain, Jenny, immediately, carried on, as though she were pain-free. She wore a smile on her face, a song on her lips, and a love and acceptance of others. That was simply amazing. She ran, when she could run. She played when she could play, and she danced when she could dance. And, when she could do none of these things, she took her medicine, and she waited until she could. Jenny, a beautiful girl with warm brown eyes, was never a cheerleader. She never competed in a sport. She joined the band. She won a place in the Govemor's School for the Arts; yet, no one in the Charleston, South Carolina School System knew what to do with Jenny. The perimeters were, simply, not in place to deal with a student, who was both active and disabled. Jenny continued to have one operation after another on her ears, all through school. Her hearing improved to 60%, and she taught herself to read lips. At school she was popular, attending every football game to cheer the team on. She carried her pillow everywhere she went, so that she could reduce the pain when she sat down. Then came her senior year in high school. She liked school activities, especially sports. So she began to bombard the school football coach. Finally the coach gave in, with the warning,"If you miss ONE game, you're out!"So, Jenny became Manager of Garrett High School Football Team. She carried big buckets of water to her teammates. She bandaged knees and ankles before every game. She gave inspiring talks and it turned out to be one of the best years for Garrett High School football Team in its history. When asked why he thought that the team was winning all their games, one team member Jack explained, "Well, when you've been knocked down, and you can't seem to move, you look up and see Jenny Lewis, walking across the field, dragging her buckets and carrying her pillow. It makes anything the rest of us may suffer seem pretty unimportant." At the Senior Awards ceremony, Jenny received a number of scholarships to College of Charleston. Her favorite scholarship, however, was a small one from the Charleston Women's Club. The President of the Women's Club listed Jenny's achievements, starting with her grades, and ending with an excited,"...and the first girl to letter in football, in Garrett High School history!"
Answer: a different kind of athlete | According to the passage, Jenny was mainly described as _ . | 0 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.5533871054649353,
0.6459457278251648,
-0.9073002338409424,
-0.13565601408481598,
0.503036379814148,
-0.7144228219985962,
0.23502352833747864,
0.677764892578125,
0.5320081114768982,
-0.45664969086647034,
-0.1283796727657318,
0.5948997735977173,
-0.3071920871734619,
0.31566935777664185,
... |
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 find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
[55, -81, 83, 17, -100, 47]
Output: | 183 | 1 | NIv2 | task1446_farthest_integers | zs_opt | [
-0.2680363357067108,
0.6122626066207886,
0.02403186447918415,
-0.0032190908677875996,
-0.20463618636131287,
0.21884757280349731,
0.8708009123802185,
0.3217763304710388,
0.874732255935669,
0.062132418155670166,
-0.18952958285808563,
-0.28383898735046387,
-0.40285444259643555,
0.019251648336... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is located or can be found at/in/on the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX accomplishes PersonX's work<sep>Tail: none
A: | No | 9 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.47764068841934204,
0.4515765905380249,
0.3119911849498749,
-0.2196861207485199,
-0.5289028882980347,
-0.6319063901901245,
1.1266019344329834,
0.5553874373435974,
-0.40537029504776,
-0.5613446235656738,
-0.2789238691329956,
-0.6404554843902588,
-0.5988295078277588,
0.37662339210510254,
... |
Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
Q: news:The webcast may be followed online on the company website at www.ruukki.com/investors .
polarity:positive
A: false
****
Q: news:Nastola , axe 14 jobs 16 February 2010 - Finnish wood products technology firm Raute Oyj HEL : RUTAV said today that it will transfer to Nastola , southern Finland , the production of its Jyvaskyla plant , which will affect 14 people .
polarity:negative
A: false
****
Q: news:` Our strategic cooperation with Rentakran brings us new customers and already-working relationships with the authorities of the new territories , ' said Jarmo Laasanen , a senior manager at Cramo .
polarity:positive
A: | true
****
| 4 | NIv2 | task844_financial_phrasebank_classification | fs_opt | [
-0.5541568994522095,
0.5383679270744324,
0.05466197431087494,
0.4587673246860504,
-0.47757214307785034,
0.1455625295639038,
0.49527040123939514,
0.9556320905685425,
0.21696928143501282,
-0.24179038405418396,
-0.1764974296092987,
0.9878155589103699,
-0.22306431829929352,
-0.0053916508331894... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Problem:Lo bueno fue que llegó un momento en que él pasaba por la habitación de su hija, y ella estaba cantando esa canción para sí misma.
Solution: | La cosa bella è che un giorno passò vicino camera di sua figlia, e lei stava cantando proprio questa canzone. | 8 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
0.3334963619709015,
1.4598222970962524,
-1.1857985258102417,
-0.0398007407784462,
-0.5208674073219299,
0.29137396812438965,
0.5413416624069214,
1.182973861694336,
-0.44158339500427246,
0.27626121044158936,
-0.4362628161907196,
0.5012728571891785,
-0.15452373027801514,
-0.2317255735397339,
... |
Teacher:In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: آنها حتی علیه نمایندگان مجلس، دادستان و مدعیالعموم از گاز فلفل استفاده کردند.
Student: | They even used pepper spray against the congressmen, the prosecutor, and the public defender. | 6 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-0.5636931657791138,
0.42130565643310547,
-0.23883211612701416,
-0.9249995946884155,
-0.48833903670310974,
-0.5796734690666199,
1.4144270420074463,
0.7059696912765503,
-0.10961166769266129,
-0.1900898814201355,
0.13570302724838257,
0.7999248504638672,
-0.599907398223877,
-0.565424859523773... |
Teacher:Translate the given Spanish text to English
Teacher: Now, understand the problem? Solve this instance: An optional outer layer may be present on the intermediate layer.
Student: | Una capa exterior opcional puede estar presente sobre la capa intermedia. | 6 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
-0.17331025004386902,
0.11789975315332413,
-0.030015401542186737,
-0.6458699703216553,
-0.3347211182117462,
0.048279259353876114,
0.08566945791244507,
1.6811528205871582,
0.020814567804336548,
0.24986781179904938,
0.060114771127700806,
0.04460412263870239,
-0.3263300061225891,
-0.526689887... |
Q: In this task you will be given a list of strings and you need to concatenate them.
['Q', 'and', 'O', 'that', 'o', 'e', 'D', 'h', 't', 'inscrutably', 'd', 'sea,', 'o', 'G']
A: | QandOthatoeDhtinscrutablydsea,oG | 7 | NIv2 | task079_conala_concat_strings | zs_opt | [
-0.7880696058273315,
1.0338928699493408,
-0.15125513076782227,
-1.0487416982650757,
-0.22652465105056763,
-0.9552624225616455,
0.3618358373641968,
-0.35498762130737305,
-0.4421751797199249,
0.41160109639167786,
0.18913187086582184,
-0.3385782837867737,
-0.03260444104671478,
-0.499195635318... |
Part 1. Definition
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Part 2. Example
Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Answer: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Explanation: The Italian sentence is correctly translated into Japanese, because the meaning is preserved.
Part 3. Exercise
Non avevano mai raccolto informazioni sulle Isole Phoenix.
Answer: | フェニックス諸島からの情報はなにもありませんでした | 7 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
0.05661176145076752,
0.18869945406913757,
-0.5661259889602661,
-0.7752184271812439,
-0.16666558384895325,
-0.9673969149589539,
0.8815891742706299,
0.6586982011795044,
0.598351240158081,
-0.46146219968795776,
-0.4700920879840851,
0.4058835208415985,
-0.5664393305778503,
-0.05224707722663879... |
In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
Example input: im feeling quite sad and sorry for myself but ill snap out of it soon
Example output: sadness
Example explanation: The emotion of the post is sadness as the user mentions 'feeling quite sad and sorry for myself'. Hence, the label is 'sadness'.
Q: i do feel so funny about myself because i seems to want to have good guy image although i have been keep saying wanna go clubbing but ended up did not even go once
A: | surprise | 3 | NIv2 | task512_twitter_emotion_classification | fs_opt | [
-1.2864367961883545,
0.03854002058506012,
0.21708446741104126,
-0.046943843364715576,
0.31505298614501953,
-0.7182191610336304,
0.2086416482925415,
0.32782670855522156,
-0.011838352307677269,
0.23624947667121887,
0.2549881339073181,
-0.17751115560531616,
-0.783819317817688,
0.2656717896461... |
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 alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Ex Input:
['l', 'X', 'D', 'W', '537', '4383', '4001', '8901', 'M', '5747', '3495', '5689', 'k', 'a', 'y', 'l', '5679', 'U', '1887', 'X', '3611', 'u']
Ex Output:
1, 2, 3, 4, 9, 13, 14, 15, 16, 18, 20, 22
Ex Input:
['3419', '2477', '3681', '777', 'U', '9161', '5753', '5013', 'Q', 'C']
Ex Output:
5, 9, 10
Ex Input:
['d', 'V', 'n', 'M', 'W', '3955', 'G', 'D', '6175', '3503', 'q', 'c', '4801', 'R', 'O', 'O', '8045', 'C', 'c', '7307', '1921', '7497', '6611', 'H', '8355', '6183', 'T', '7519', 'H', 'x', 'w']
Ex Output:
| 1, 2, 3, 4, 5, 7, 8, 11, 12, 14, 15, 16, 18, 19, 24, 27, 29, 30, 31
| 1 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
0.1619570106267929,
0.16052383184432983,
-0.5098236799240112,
-0.7581227421760559,
-0.1365075707435608,
-0.5561538934707642,
1.1836516857147217,
0.5190716981887817,
-0.5886201858520508,
0.3820384740829468,
-0.3168359398841858,
0.0891910046339035,
-0.3182663917541504,
0.1416538953781128,
... |
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
[Q]: The restoration of coronary flow after transient ischemia immediately induces life-threatening ventricular tachyarrhythmias. Although most of these arrhythmias disappear spontaneously, some of them induce serious hemodynamic changes. This retrospective study investigates the efficacy of therapy with intracoronary verapamil to terminate reperfusion-induced ventricular tachyarrhythmias in patients with acute myocardial infarction (AMI).', 'Between February 1992 and February 2003, 390 patients with a diagnosis of AMI were enrolled into the study. All patients received mechanical revascularization therapy within 6 h of onset of symptoms, and 109 patients experienced reperfusion-induced tachyarrhythmias. A subset of these patients was treated with intracoronary verapamil (0.25 to 1.0 mg) to terminate the reperfusion-induced tachyarrhythmia. They were evaluated for immediate termination of the tachyarrhythmias, hemodynamic changes, resumption rates, and major complications. Thirty-one patients (28%) were treated with intracoronary verapamil for the immediate termination of reperfusion-induced ventricular tachyarrhythmias. These tachyarrhythmias included 6 premature ventricular contractions, 19 accelerated idioventricular rhythms, 3 ventricular tachycardias, 2 ventricular fibrillations (VFs), and 1 torsades de pointes. Intracoronary verapamil was effective in rapidly terminating all reperfusion-induced arrhythmias except for VFs. The side effects of treatment included temporary hypotension (two patients) and bradycardia (one patient), although all patients recovered spontaneously. No major complications were induced by the intracoronary use of verapamil, and no resumptions of arrhythmias were documented.
[A]: 0
[Q]: Rush immunotherapy (RIT) presents an attractive alternative to standard immunotherapy. However, RIT carries a much greater risk of acute allergic reactions, including anaphylaxis.', 'We hypothesized that omalizumab, a humanized monoclonal anti-IgE antibody, would be effective in enhancing both safety and efficacy of RIT.', 'Adult patients with ragweed allergic rhinitis were enrolled in a 3-center, 4-arm, double-blind, parallel-group, placebo-controlled trial. Patients received either 9 weeks of omalizumab (0.016 mg/kg/IgE [IU/mL]/mo) or placebo, followed by 1-day rush (maximal dose 1.2-4.0 mug Amb a 1) or placebo immunotherapy, then 12 weeks of omalizumab or placebo plus immunotherapy.', 'Of the 159 patients enrolled, 123 completed all treatments. Ragweed-specific IgG levels increased >11-fold in immunotherapy patients, and free IgE levels declined >10-fold in omalizumab patients. Patients receiving omalizumab plus immunotherapy had fewer adverse events than those receiving immunotherapy alone. Post hoc analysis of groups receiving immunotherapy demonstrated that addition of omalizumab resulted in a 5-fold decrease in risk of anaphylaxis caused by RIT (odds ratio, 0.17; P = .026). On an intent-to-treat basis, patients receiving both omalizumab and immunotherapy showed a significant improvement in severity scores during the ragweed season compared with those receiving immunotherapy alone (0.69 vs 0.86; P = .044).
[A]: 1
[Q]: To quantify the costs of treatment in critical limb ischaemia (CLI) and to compare costs and effectiveness of two treatment strategies: spinal cord stimulation (SCS) and best medical treatment.', 'One hundred and twenty patients with CLI not suitable for vascular reconstruction were randomised to either SCS in addition to best medical treatment or best medical treatment alone. Primary outcomes were mortality, amputation and cost. Cost analysis was based on resources used by patients for 2 years after randomisation. Both medical and non-medical costs were included.', 'Patient and limb survival were similar in the two treatment groups. Costs of in-hospital-stay and institutional rehabilitation constituted the predominant part (+/-70%) of the total costs of medical care in CLI. Cost of SCS-implantation and complications (7950 euro per patient) exceeded by far cost due to amputation procedures (410 euro per patient). The total costs of treatment were 36,600 euro per patient over 2 years for the SCS-group vs. 28,700 euro for best medical treatment alone (28% higher for SCS-group, p=0.009).
[A]: | 1
| 5 | NIv2 | task848_pubmedqa_classification | fs_opt | [
0.7604878544807434,
0.18231303989887238,
-0.3147932291030884,
0.2586641311645508,
0.5319947004318237,
-0.49661093950271606,
0.8908033967018127,
0.6355551481246948,
0.07625481486320496,
0.5536043643951416,
-0.487193763256073,
-0.191642165184021,
-0.5275986194610596,
0.24466988444328308,
-... |
In this task if the pronoun is male or gender-neutral you are to replace it with a female pronoun. If there are no pronouns add a female-gendered word to the sentence.
I can't tell you anything about her because I'm completely ignorant when it comes to down-ballot politics of 19th century France.
I couldn't tell you. I'm completely ignorant when it comes to downballot politics of 19th century France.
Yes, like me, he's best known for his performances in the San Francisco male fol scene.
yes his best known for his performances in the San Francisco fol scene
I work in it. I live in Vienna with my husband.
| I work in IT. living in Vienna
| 0 | NIv2 | task1670_md_gender_bias_text_modification | fs_opt | [
-0.4459422826766968,
1.2351055145263672,
-0.06546423584222794,
0.14513811469078064,
-0.027784297242760658,
-0.2480919063091278,
0.7798221111297607,
0.5758466720581055,
0.9203585982322693,
-0.38193652033805847,
-0.4439755976200104,
0.25557848811149597,
-0.9307020902633667,
-0.15081626176834... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
See one example below:
Problem: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping for fruit to give Jon.
Solution: Tom had never been in the store.
Explanation: Tom must have gone into the store to come out of it.
Problem: Sentence 1: Three people walking down a street with a bicycle and two umbrellas. Sentence 2: Three men walking down a street with a bicycle and two umbrellas.
Solution: | Three people walking down a street with a bicycle and umbrellas. | 4 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
0.03996496647596359,
0.6362971067428589,
0.10466912388801575,
-0.42052432894706726,
-0.00953418668359518,
-0.6524250507354736,
0.008735595270991325,
0.5305900573730469,
0.29376378655433655,
-0.19167014956474304,
-0.8812401294708252,
0.05625399574637413,
-0.38305768370628357,
-0.25270679593... |
Definition: In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
Input: [3, 4, 5, 0, 7, 7, 2, 3, 0, 3]
Output: | [4, 5, 2] | 2 | NIv2 | task097_conala_remove_duplicates | zs_opt | [
-0.44478344917297363,
0.5749026536941528,
-0.6142030358314514,
-0.2028104066848755,
0.3102516829967499,
-0.12674525380134583,
0.7992081642150879,
0.25213947892189026,
-0.21587485074996948,
-0.12586969137191772,
-0.8948352336883545,
0.17434635758399963,
0.1004147082567215,
-0.35680580139160... |
Detailed Instructions: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Problem:آیا چون به شما [در نبرد احد] مصیبتى رسید - [با آنکه در نبرد بدر] دو برابرش را [به دشمنان خود] رساندید- گفتید: «این [مصیبت] از کجا [به ما رسید]؟» بگو: «آن از خود شما [و ناشى از بىانضباطى خودتان] است.» آرى! خدا به هر چیزى تواناست.
Solution: | How is it that when misfortune befell you, you said: "Where has this come from?" -- even though you had inflicted disaster twice as great on (the enemy). Say: "This has come from your own selves." Surely God has power over all things. | 8 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.22763898968696594,
1.2103822231292725,
-0.15385574102401733,
-0.7914990782737732,
-0.7123962044715881,
-0.7480026483535767,
0.7812732458114624,
0.6558783650398254,
0.7153366804122925,
-0.41154175996780396,
-1.0163750648498535,
1.0302882194519043,
-0.9302283525466919,
0.14188152551651,
... |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Example: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Answer: Find somewhere to go
Example solution: What does Tracy need to do before this?
Example explanation: Tracy has to resist Riley's attack and the answer is she has to find somewhere to go so the question is what does she do before this?
Problem: Context: Alex tried hard to fix it but was unable to after trying.
Answer: keep trying
| Solution: What will Alex want to do next? | 5 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
0.44929617643356323,
1.0847220420837402,
0.3006574511528015,
-0.4062613248825073,
-0.23873312771320343,
-0.48569947481155396,
0.2659209370613098,
0.04692862927913666,
0.3257131576538086,
0.04229331761598587,
-0.5130660533905029,
-0.017741382122039795,
-0.5820971727371216,
0.095437809824943... |
TASK DEFINITION: You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can answer the question correctly and completely. In those cases, please generate all such options separated by a comma (e.g. "A, B" is a valid answer). Do not generate anything else apart from one or more of the following characters: 'A', 'B, 'C', 'D', etc.
PROBLEM: Paragraph- Sent 1: Alexis de Tocqueville and Gustave de Beaumont in America: Their Friendship and Their Travels edited by Oliver Zunz, translated by Arthur Goldhammer (University of Virginia Press; 2011) 698 pages; Includes previously unpublished letters, essays, and other writings Du systeme penitentaire aux Etats-Unis et de son application en France (1833) - On the Penitentiary System in the United States and Its Application to France, with Gustave de Beaumont.
Sent 2: De la democratie en Amerique (1835/1840) - Democracy in America.
Sent 3: It was published in two volumes, the first in 1835, the second in 1840.
Sent 4: English language versions: Tocqueville, Democracy in America, trans.
Sent 5: and eds., Harvey C. Mansfield and Delba Winthrop, University of Chicago Press, 2000; Tocqueville, Democracy in America (Arthur Goldhammer, trans.; Olivier Zunz, ed.) (The Library of America, 2004) ISBN 978-1-931082-54-9.
Sent 6: L'Ancien Regime et la Revolution (1856) - The Old Regime and the Revolution.
Sent 7: It is Tocqueville's second most famous work.
Sent 8: Recollections (1893) - This work was a private journal of the Revolution of 1848.
Sent 9: He never intended to publish this during his lifetime; it was published by his wife and his friend Gustave de Beaumont after his death.
Sent 10: Journey to America (1831-1832) - Alexis de Tocqueville's travel diary of his visit to America; translated into English by George Lawrence, edited by J-P Mayer, Yale University Press, 1960; based on vol.
Sent 11: V, 1 of the OEuvres Completes of Tocqueville.
Sent 12: L'Etat social et politique de la France avant et depuis 1789 - Alexis de Tocqueville Memoir On Pauperism: Does public charity produce an idle and dependant class of society?
Sent 13: (1835) originally published by Ivan R. Dee.
Sent 14: Inspired by a trip to England.
Sent 15: One of Tocqueville's more obscure works.
Sent 16: Journeys to England and Ireland 1835.
Question: When was the book published and in how many versions? (A) The first in 1840, the second in 1835 (B) Two volumes, the first in 1835, the second in 1840 (C) Two.
SOLUTION: B.
PROBLEM: Paragraph- Sent 1: Heat supplies the energy that causes motion.
Sent 2: The deeper you go into toward the Earths core, the hotter it gets.
Sent 3: At the core it is really hot.
Sent 4: All that heat tries to rise toward the surface.
Sent 5: In the Mantle, the rock is partially melted and is able to move.
Sent 6: As it is heated, the material in the mantle moves toward the surface.
Sent 7: As the mantle material rises, it cools.
Sent 8: When it reaches the Earths crust, it is mostly stopped.
Sent 9: A little of the material can break through the surface, but not all.
Sent 10: Instead, it begins to move horizontally.
Sent 11: The mantle material moves horizontally away from a mid-ocean ridge crest.
Sent 12: Toward the surface, the mantle material starts to cool.
Sent 13: As it cools it sinks back down into the mantle.
Sent 14: These areas are where deep sea trench occur.
Sent 15: The material sinks back down to the core.
Sent 16: The system operates like a giant conveyor belt.
Sent 17: The motion due to heating and cooling is called convection.
Question: Does rock move more at the surface of the earth or at its core? (A) At the surface because there is more space (B) At the Surface (C) At its core because it has more heat (D) At its core.
SOLUTION: C, D.
PROBLEM: Paragraph- Sent 1: Hotel California My first thought: I was going crazy.
Sent 2: Twenty-four hours of silence (vacuum, remember); was I hallucinating noises now?
Sent 3: I heard it again.
Sent 4: It was a fine bell, reminiscent of ancient stone churches and the towering cathedrals I'd seen in documentaries.
Sent 5: And accompanying the bell, I saw a light.
Sent 6: Now, there were two things here that made ridiculously small amounts of sense.
Sent 7: First, the whole in-a-vacuum why's-there-a-bell thing.
Sent 8: Second, I was floating in the dark remnants of my broken ship, and any conceivable light sources were not within view; starlight is a distinctly different color and significantly less bright.
Sent 9: These signals were the heralds of my saviors.
Sent 10: The first words they said to me meant nothing.
Sent 11: I wasn't listening; I didn't care; I was going to live; I was going to keep breathing.
Sent 12: Next to those, nothing else mattered.
Sent 13: The recycled air tasted sweet in my mouth, and all thoughts that crossed my mind were cheap metaphors about life-giving substances and how breathing was like sex, only better.
Sent 14: (I reserved the right to revise this opinion later.) When I was done mentally exclaiming over my impossible rescue, I looked around.
Sent 15: The ship, it was odd and old, either so outdated or so heavily modified that I couldn't tell what make it was, and somehow, the crew standing around me fit the same description, a singularly atypical amalgamation of folk.
Sent 16: And me, I guess I was one more piece in their puzzle.
Sent 17: I was one more scrap to weld onto the rest, one more stranded survivor who was found.
Sent 18: I was now one of them.
Question: Who is the "Them" the writer refers to being one of? (A) He felt he was one more person for who nothing else mattered (B) Another found stranded survivor (C) A crazy person (D) He was one more scrap to weld and one more survivor who was found (E) The crew of his saviours.
SOLUTION: | B, D, E.
| 8 | NIv2 | task058_multirc_question_answering | fs_opt | [
0.9445121884346008,
0.08692197501659393,
-0.4328750669956207,
0.26028749346733093,
0.2293637990951538,
-0.5081217885017395,
0.906513512134552,
0.441375195980072,
-0.676277220249176,
0.045104771852493286,
0.05434048920869827,
0.11110854148864746,
-0.4018198549747467,
-0.02619044855237007,
... |
Q: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Comment: And yet the typical stereotype of a pot smoker is "left-wing, pro-union, anti-capitalism leaning".
But then, a guy like you has to fit in your shot at "left-wing...." when ever the chances arises regardless of contradictions.
A: | Non-threat | 7 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.5284539461135864,
0.3869900107383728,
0.20706087350845337,
-0.2771197557449341,
0.10468487441539764,
-0.6952964663505554,
0.5040277242660522,
1.2079823017120361,
0.48562300205230713,
0.31868523359298706,
-0.21442484855651855,
0.06038029491901398,
-0.36340397596359253,
-0.887443304061889... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
English sentence: 5. Many waters cannot quench love, neither can the floods drown it: if a man would give all the substance of his house for love, it would utterly be contemned.
Output: | 5. Ang maraming tubig ay hindi makapapatay sa pagsinta, Ni mapauurong man ng mga baha; kung ibigay ng lalaki ang lahat na laman ng kaniyang bahay dahil sa pagsinta, Siya y lubos na kukutyain. | 1 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
0.6349325180053711,
0.46558520197868347,
0.1604640781879425,
-0.5141303539276123,
0.7439607977867126,
-1.7614383697509766,
0.7882009744644165,
0.5063107013702393,
-0.7580558061599731,
-0.06507283449172974,
0.17485839128494263,
0.14523175358772278,
-1.0576285123825073,
0.06812107563018799,
... |
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Sentence-1: If it's affordable<sep>Sentence-2: I enjoy fine dining . | Yes | 0 | NIv2 | task566_circa_classification | zs_opt | [
-1.0446009635925293,
0.0031214063055813313,
0.3532434403896332,
0.06108226999640465,
-0.11986259371042252,
0.3195352554321289,
0.4109293520450592,
0.614974319934845,
0.07145090401172638,
0.1264348179101944,
0.04635678976774216,
-0.4997056722640991,
-0.9460065364837646,
-0.1222342923283577,... |
Instructions: Given an abstract, indicate which of the provided candidate titles (Option1 and Option2) best describes it (respond with the text of the title, not option1/2).
Input: Abstract: CT scans were obtained in five patients who presented with abdominal pain and were found to have an abdominal aortic aneurysm without evidence of hypovolaemia. A periaortic haematoma and evidence of a rupture was found on scanning in three of the patients and confirmed at immediate operation. A retrospective diagnosis of rapidly expanding (acute) aneurysm was made in the other two patients in whom no other pathology was found at early elective operation. CT scanning is useful in differentiating small well-controlled ruptures from rapidly expanding aneurysms.
Which is the apt title for the abstract? option1: Differentiation of ruptured aortic aneurysm from acute expansion by computerised tomography. option2: Constant velocity dynamometer: an appraisal using mechanical loading.
Output: | Differentiation of ruptured aortic aneurysm from acute expansion by computerised tomography. | 3 | NIv2 | task624_ohsumed_question_answering | zs_opt | [
-0.36051565408706665,
0.782204270362854,
-0.5012174844741821,
0.4562012851238251,
0.14451640844345093,
-0.09435761719942093,
-0.05389651656150818,
0.5171455144882202,
0.7219402194023132,
0.47713643312454224,
-0.06580212712287903,
-0.2495550662279129,
-0.4280429184436798,
0.3490689098834991... |
Detailed Instructions: In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Q: Opponents of this man included Luhi-ishan and Kastubila, king of Kazalla. Succeeded by his sons Rimush and Manishtushu, he would make his daughter Enheduanna priestess of the moon-god Nanna, illustrating his respect of the old cults. Beginning his career as a cup bearer in the court of king Ur-Zababa, he would soon take over the city-state of Kish. From there, he would turn on Uruk and its King Lugal-Zage-Si, and conquer most of Sumeria. Building a new capital, after which he would be named, he would move on to conquer most of the fertile crescent: from the lands of Elam in the east, over Mesopotamia, to the Mediterranean coast in the west. Of Semitic origin, FTP, name this 2300 BC ruler whose birth story is very much reminiscent of Moses's
A: | Social Science | 9 | NIv2 | task521_trivia_question_classification | zs_opt | [
0.15818463265895844,
0.5201429128646851,
0.02871137112379074,
-0.16164731979370117,
-0.3296521306037903,
-0.181029811501503,
0.34824079275131226,
0.7181904315948486,
-0.5098897218704224,
0.10124722868204117,
-0.6875871419906616,
0.6618448495864868,
-1.2367217540740967,
-0.01343566738069057... |
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 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.
Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. He is one of the first American composers of international renown, though his music was largely ignored during his life, and many of his works went unperformed for many years. Over time, he came to be regarded as an "American original". He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Context_2 : Daniel Evan Freeman (born 27 April 1959) is an American musicologist who specializes in European art music of the eighteenth century, in particular the musical culture of eighteenth-century Prague and the Bohemian lands. He is also active as a pianist and music editor. Context_3 : Art music (also known as Western classical music, cultivated music, serious music, canonic music, and more flippantly, real music or normal music) is an umbrella term that refers to musical traditions, implying advanced structural and theoretical considerations and a written musical tradition. "Serious" or "cultivated" music are terms frequently used as a contrast for ordinary, everyday music (popular and folk music, also called "vernacular music"). After the 20th century, art music was divided into two extensions: "serious music" and "light music". Context_4 : In the history of European art music, the term "common practice period" refers to the era between the formation and the dissolution of the tonal system. Though there are no exact dates for this phenomenon, most features of the common-practice period persisted from the mid to late baroque period, through the Classical and Romantic periods, or roughly from around 1650 to 1900. While certain prevailing patterns and conventions characterize the music of this period, the time period also saw considerable stylistic evolution. Some conventions evolved during this period that were rarely employed at other times during what may still be labeled "common practice" (for example, Sonata Form). Thus, the dates 1650–1900 are necessarily nebulous and arbitrary borders that depend on context. The most important unifying feature through this time period concerns a harmonic language to which modern music theorists can apply Roman numeral analysis. Context_5 : The Festival Oude Muziek Utrecht ("Utrecht Early Music Festival") is an annual music festival that showcases and celebrates early European art music. The ten-day festival takes place in the Dutch city of Utrecht, and begins in August. The programme comprises concerts, activities, lectures, exhibitions, and a symposium. Context_6 : Assaf Shelleg (Hebrew: אסף שלג ), is a musicologist and pianist, a senior lecturer of musicology at The Hebrew University of Jerusalem. He was previously the Schusterman Visiting Assistant Professor of Musicology and Jewish Studies in the Department of Religious Studies at the University of Virginia (2011–14), and had taught prior to that as the visiting Efroymson Scholar in the Jewish, Islamic & Near Eastern Languages and Cultures Department at Washington University in St. Louis (2009–11). Shelleg specializes in twentieth-century Jewish and Israeli art music and has published in some of the leading journals in both musicology and Israel Studies on topics ranging from the historiography of modern Jewish art music to the theological networks of Israeli art music. Shelleg's book, "Jewish Contiguities and the Soundtrack of Israeli History", appeared in November 2014 with Oxford University Press. The book studies the emergence of modern Jewish art music in central and Western Europe (1910s-1930s) and its translocation to Palestine/Israel (1930s-1970s), exposing the legacies of European antisemitism and religious Judaism in the making of Israeli art music. Moving to consider the dislocation of modern Jewish art music the book examines the paradoxes embedded in a Zionist national culture whose rhetoric negated its pasts, only to mask process of hybridizations enchained by older legacies. "Jewish Contiguities" has won the 2015 Engle Prize for the study of Hebrew Music, and the 2016 Jordan Schnitzer Book Award. Context_7 : Vocal harmony is a style of vocal music in which a consonant note or notes are simultaneously sung as a main melody in a predominantly homophonic texture. Vocal harmonies are used in many subgenres of European art music, including Classical choral music and opera and in the popular styles from many Western cultures ranging from folk songs and musical theater pieces to rock ballads. In the simplest style of vocal harmony, the main vocal melody is supported by a single backup vocal line, either at a pitch which is above or below the main vocal line, often in thirds or sixths which fit in with the chord progression used in the song. In more complex vocal harmony arrangements, different backup singers may sing two or even three other notes at the same time as each of the main melody notes, mostly with consonant, pleasing-sounding thirds, sixths, and fifths (although dissonant notes may be used as short passing notes). Context_8 : David Wallis Reeves (February 14, 1838 – March 8, 1900), also known as D. W. Reeves or Wally Reeves, was an American composer, cornetist, and bandleader. He developed the American march style, later made famous by the likes of John Philip Sousa, and his innovations include adding a countermelody to the American march form in 1876. Sousa called Reeves "The Father of Band Music in America", and stated he wished he himself had written Reeves' "Second Regiment Connecticut National Guard March". Charles Ives also borrowed from the "Second Connecticut" on four occasions. Context_9 : "Indian classical music is one of many forms of art music that have their roots in particular regional cultures. For other "classical" and art music traditions, see List of classical and art music traditions." Context_10 : Progressive music is music that subverts genre and expands stylistic boundaries outwards. Rooted in the idea of a cultural alternative, musical progressiveness embodies a continuous move between explicit and implicit references to genres and strategies derived from various cultural domains, such as European art music, Celtic folk, West Indian, or African. The word "progressive" comes from the basic concept of "progress", which refers to development and growth by accumulation, and is often deployed in numerous music genres such as progressive country, progressive folk, progressive jazz, and (most significantly) progressive rock. fact_1 : Charles Ives also borrowed from the "Second Connecticut" on four occasions. fact_2 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. fact_3 : He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Answer: 1874May
Solution: What is the birthyear of the American composer that borrowed from "Second Connecticut" on four occasions and combined American popular and church-music traditions with European art music?
Why? From the fact_1 from context _8, and fact _2 and fact _3 from context _1, we can arrive at 1874 May which is accurate answer of generated question.
New input: Context_1 : Gina Bellman (born 10 July 1966) is a New Zealand-born British actress best known for her performances as Jane Christie on the BBC's hit comedy show "Coupling" and as grifter Sophie Devereaux on the 2008 TNT television series "Leverage". Context_2 : Geoffrey Hayes (born 13 March 1942 in Stockport, Cheshire) is an English television presenter and actor, best known as the host of Thames Television's top-rated children's show "Rainbow" from 1974 to 1992, replacing original host David Cook. Before that, he had much other work, including a recurring role in BBC1's police drama "Z-Cars". Hayes also has writing credits for "Rainbow" and "The Great Pony Raid" in 1967. Context_3 : Pauline Moran (born 26 August 1947) is an English actress, presenter, and astrologer, best known for her role as Miss Lemon in the British television series "Agatha Christie's Poirot". Context_4 : Christie Lynne Hayes (born 31 October 1986) is an Australian actress, best known for her work on the television series "Home and Away" as Kirsty Phillips (née Sutherland) who she played from June 2000 to February 2005 and again from May 2008 to October 2009. Since January 2017, Hayes has hosted the breakfast show on I98FM. Hayes is the sister of actress Katherine Hayes. Context_5 : Anna Sophie Jobarteh (born 3 April 1996) is an English actress, best known for playing the role of Ruth Kirby on the British television series "Waterloo Road". She also played a role in thriller series "Paradox" in 2009, when she played the role of Dionne Hudson. She starred as Christie in a show called "Combat Kids" on the CBBC Channel in 2010. Context_6 : Michael Beckley (born 1963) is an Australian actor primarily of theatre and television soap . He is probably best known for playing Rhys Sutherland, the patriarch of a new family that arrived in Summer Bay, along with wife Shelley (Paula Forrest) and there three daughters Danni, Kirsty and Jade (played by Tammin Sursok, Christie Hayes and Kate Garven respectively) in series "Home and Away". Since leaving the soap he has worked extensively in theatre both in Australia and the UK. He now resides in Sydney, Australia. Context_7 : Home and Away (often abbreviated as H&A) is an Australian television soap opera. It was created by Alan Bateman and commenced broadcast on the Seven Network on 17 January 1988. Bateman came up with the concept of the show during a trip to Kangaroo Point, New South Wales, where he noticed locals were complaining about the construction of a foster home and against the idea of foster children from the city living in the area. The soap opera was initially going to be called "Refuge", but the name was changed to the "friendlier" title of "Home and Away" once production began. The show premiered with a ninety-minute pilot episode (subsequently in re-runs known as "Home and Away: The Movie"). Since then, each subsequent episode has aired for a duration of twenty-two minutes and "Home and Away" has become the second longest-running drama series in Australian television. In Australia, it is currently broadcast from Mondays to Thursdays at 7:00 pm. Context_8 : John Tribe (born 10 June 1938) is an English illustrator and graphic designer best known for his work for the British television broadcaster London Weekend Television, which presently forms part of the ITV network. In 1985, he won the Primetime Emmy Award for Outstanding Graphic and Title Design for his work on the ten part television series: "Agatha Christie's Partners in Crime" (1983). Context_9 : Hugh O'Brian (born Hugh Charles Krampe; April 19, 1925 – September 5, 2016) was an American actor and humanitarian, best known for his starring roles in the ABC western television series "The Life and Legend of Wyatt Earp" (1955–1961) and the NBC action television series "Search" (1972–1973), as well as films including the Agatha Christie adaptation "Ten Little Indians" (1965); he also had a notable supporting role in John Wayne's last film, "The Shootist" (1976). He was highly regarded for creating the Hugh O'Brian Youth Leadership Foundation, a non-profit youth leadership development program for high school scholars which has sponsored over 400,000 students since he founded the program in 1958 following an extended visit with Nobel Peace Prize-winning theologian and physician Albert Schweitzer. Context_10 : Joanna Lauren Christie (born 10 April 1982) is an English actress and singer. She is noted for her work in the play "Equus" (2007) alongside Daniel Radcliffe, but is best known for her role as Girl in the Broadway musical "Once". Christie played Connie Murphy, one of the lead female characters, in the hit Netflix television series "Narcos". fact_1 : Christie Lynne Hayes (born 31 October 1986) is an Australian actress, best known for her work on the television series "Home and Away" as Kirsty Phillips (née Sutherland) who she played from June 2000 to February 2005 and again from May 2008 to October 2009. fact_2 : It was created by Alan Bateman and commenced broadcast on the Seven Network on 17 January 1988. Answer: 1988
Solution: | Christie Hayes is best known for her work on a television series that began in what year? | 0 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.6973507404327393,
0.4010049104690552,
-0.9036645889282227,
0.89146888256073,
0.5780225992202759,
-0.05887802317738533,
0.7222220301628113,
0.46643805503845215,
-0.15784725546836853,
0.5036911964416504,
-0.01901327632367611,
0.48056700825691223,
-0.8366755247116089,
0.01653653383255005,
... |
Teacher: In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
Teacher: Now, understand the problem? If you are still confused, see the following example:
[3, 0, 3, 8]
Solution: [3, 3]
Reason: Zero and eight are removed from the input list because they are even numbers, and because three appeared twice in the input list, it appears twice in the output list. So this is a good example.
Now, solve this instance: [4, 32, 99, 166, 77, 104]
Student: | [99, 77] | 2 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.2946193814277649,
-0.112561896443367,
-0.5405941009521484,
-0.45770493149757385,
0.5685030221939087,
-0.48024916648864746,
0.7322365641593933,
0.5559464693069458,
-0.6709266901016235,
0.30538398027420044,
-0.5262581706047058,
0.05358924716711044,
-0.27790534496307373,
-0.916018307209014... |
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
--------
Question: Question: How many years did Pietro Pellegri attend the Genoa youth academy? Passage 1:Sothoron broke into the major leagues when the spitball was still legal. His best season came in 1919, when he posted a 20–13 record with a 2.20 earned run average for the Browns, finishing fifth in the American League in wins and ERA. After the spitball was outlawed following the 1919 campaign, Sothoron at first was not permitted to throw it, then in mid-1920 he was added to a list of 17 spitballers in the majors who were allowed to continue using the banned pitch. But he was never able to match his 1919 numbers. His pitching career ended in St. Louis with the National League Cardinals, where he played for his first MLB manager, Branch Rickey, and led the NL in shutouts with four in , despite a mediocre 10–16 (3.57) record. During his MLB career, he appeared in 264 games pitched, and allowed 1,583 hits and 596 bases on balls in 1,582⅓ innings pitched. He struck out 576 and hurled 102 complete games.
Passage 2:His musical education started in 1977 on the piano, at Nysa School of Music. Then, in 1981, he started to play on trumpet while continuing to perfect the piano skills, in Chrzanów School of Music. In 1989, after graduating from the Secondary School of Music in Kraków, majoring in trumpet (minor in piano), he first entered John Paul II University to play organ and later (in 1990) matriculated to Musical University in Kraków to study music theory. Finally, in 1992 he began study in Katowice at the prestigious Karol Szymanowski University of Music’s School of Jazz and Popular Music. In 1995, he received his master's degree with Honors as a Jazz Vocalist. In January 2012, he received PhD degree from the Fryderyk Chopin University of Music in Warsaw. In June 2014, he completed the process of habilitation at the Fryderyk Chopin University of Music in Warsaw, gaining the rank of a "habilitated doctor,"- equivalent to the American title of "assistant-professor." The title of his work was "Polska piosenka popularna interpretowana w języku jazzowym. Analiza utworów z płyty ŚPIEWNIK." ("Polish pop music translated into the language of jazz. An analysis of the works from "Śpiewnik.")
Passage 3:Born in Genoa, Pellegri is a youth product of the Genoa youth academy. On 22 December 2016, he made his debut with the senior team in Serie A in a 1–0 away loss against Torino, coming on as an 88th-minute substitute for Tomás Rincón. At the age of 15 years and 280 days, he equalled the record as the youngest ever Serie A debutant, held by Roma's Amedeo Amadei since 1937. In doing so he also became the first player born in the 21st century to appear in Serie A, and the second player born in the 2000s to make his Italian top-flight debut after Moise Kean. On 28 May, he scored his first Serie A goal in a 3–2 away loss against Roma, becoming the first player born in the 21st century to ever score in Serie A, and the third youngest goalscorer ever in the Italian top flight, after Amadei and Gianni Rivera.
Answer: 3
Question: Question: Who succeeded Khalid's son as ruler of the family's stronghold? Passage 1:The team began the 1888 season with part-time outfielder, Dave Rowe, as their player-manager. On April 18, they suffered a 10–3 loss to Tony Mullane and the Cincinnati Reds in their first game, however, they collected their first win the next day. Although they had a win–loss record of 43–89 in their initial season, finishing last out of the league's eight teams, and went through two managerial changes, there were a couple of bright moments; on June 6, Henry Porter threw a no-hitter, and on June 13, Sam Barkley hit for the cycle. The franchise's only future Hall of Fame player, "Slidin'" Billy Hamilton, began his career as a part-time outfielder in 1888, and was their starting right fielder in 1889. Bill Watkins, who had finished the 1888 season as the team's manager, stayed in that role for the full 1889 season, and guided them to an improved win–loss record of 55–82, with two ties, finishing seventh among the league's eight teams.
Passage 2:The original Munster Football Association was founded in 1901 and it is believed that a Munster League was founded within a few years. The 1909–10 season saw six teams representing the Highland Light Infantry, the Royal Welch Fusiliers, the Durham Light Infantry, the Sherwood Foresters, the King's Regiment and Haulbowline all playing in the Munster League First Division. In the Munster Cup the Highland Light Infantry lost 1–0 to the Royal Welsh Fusilers in the final played at Turner's Cross. However this league was effectively disbanded during the First World War and Irish War of Independence era. In 1921 Harry Buckle, a former Ireland international, settled in Cork and began working for the Ford Motor Company. Finding little or no association football activity in the city, Buckle initially founded Fordsons F.C. and then helped found the County Cork–based South Munster League for the team to play in. In addition to playing and coaching with the new club, Buckle also served as president of the Tipperary/Limerick based – North Munster League and helped reform the Munster Football Association. By 1922–23 the South Munster League and North Munster Leagues had effectively merged to become the Munster Senior League. Barrackton United of the South Munster League became the first post–First World War Munster Senior League champions after defeating Cahir Park F.C. of the North Munster League in a play-off.
Passage 3:Khalid was a member of the Shayban tribe, dominant in the region of Diyar Bakr in the northern Jazira, and third son of Yazid ibn Mazyad al-Shaybani, who served twice as Arab governor (ostikan) of Arminiya (a large province encompassing the whole of Transcaucasia). Khalid served in the same office no less than four times: in 813/814, 828–832, briefly in 841 and again under Caliph al-Wathiq (r. 842–845). In his first tenure, he showed himself conciliatory towards the native Christian population and the nakharar princes, but his second tenure was marked by the brutal suppression of several revolts by local Arab magnates, as well as the harsh treatment of the Christian population. As a result, when his re-appointment to the office was announced in 841, a rebellion broke out, forcing the Abbasid government to recall him immediately. Nevertheless, al-Wathiq assigned Arminiya to Khalid. The latter arrived in the province at the head of an army, and crushed any opposition. He died soon after at Dvin, where he was buried. He was succeeded by his son, Muhammad. His younger son Haytham ibn Khalid ruled in the family's stronghold of Shirvan, and was the first to claim the title of Shirvanshah.
Answer: 3
Question: Question: How long had the TWR Jaguar World Sportscar Championship team been in existence when Elio de Angelis joined it? Passage 1:"The Ivory Goddess" is a short story by American writers L. Sprague de Camp and Lin Carter, featuring the fictional sword and sorcery hero Conan the Barbarian created by Robert E. Howard. According to Morgan Holmes, citing de Camp friend Loay Hall, Carter did none of the writing, and the story was written by de Camp in collaboration with his wife Catherine Crook de Camp. The story was first published by Bantam Books in the paperback anthology Conan the Swordsman in August 1978. Later paperback editions of the collection were issued by Ace Books (1987 and 1991). The first hardcover edition was published by Tor Books in 2002. The book has also been translated into Italian. It was later gathered together with Conan the Liberator and Conan and the Spider God into the omnibus collection Sagas of Conan (Tor Books, 2004). The story has been translated into Italian.
Passage 2:Another recurring character in the series was Little Quacker the duckling, who was later adapted into the Hanna-Barbera character Yakky Doodle. He appears in Little Quacker (1950), Just Ducky (1953), Downhearted Duckling (1954), Southbound Duckling (1955), That's My Mommy (also 1955), Happy Go Ducky (1958), and The Vanishing Duck (1958). Quacker talks a lot compared to Tom and Jerry. His voice is a 'duck voice' not dissimilar to Disney's Donald Duck. In many shorts, he is the only character who speaks. He is very trusting, even trusting Tom in many situations in which Tom wishes to eat him. He is a friend of Jerry, but unlike Jerry harbors no hard feelings towards Tom. He appeared in The Tom and Jerry Show episode "The Lost Duckling" (1975). He also got his own series of shorts on The Yogi Bear Show (renamed Yakky Doodle) after guesting in several Hanna-Barbera TV shows. Quacker was then used as a template for the 'Hard Luck Duck' character starring in the titular character's short from the What a Cartoon! series. His What a Cartoon! counterpart Hard Luck Duck was voiced by Russi Taylor.
Passage 3:Italian driver Elio de Angelis who had joined Brabham after six years with Lotus, was the first driver to die in a works Brabham when he was killed in an accident while testing at the Circuit Paul Ricard in France. The car survived the accident relatively intact and de Angelis had only minor injuries. However, there were very few track marshals at the circuit and he was trapped in the car and killed by oxygen deprivation due to a fire before they arrived, prompting a review of testing safety, with changes including more marshals as well as medical staff and a required medical evacuation helicopter. Sadly de Angelis would die from smoke inhalation 29 hours after the crash at the hospital in Marseille where he had been taken. In the Belgian Grand Prix following the death of de Angelis, Brabham only entered one car for Patrese. From the next race in Canada, British driver Derek Warwick joined the team. According to team boss Bernie Ecclestone, Warwick, a former factory Renault driver who had been driving for the TWR Jaguar World Sportscar Championship team in 1986 after having missed out on a seat at Lotus, was reportedly the only top level driver without a current F1 drive who did not contact him in the days following de Angelis' death to ask about the drive.
Answer: | 3
| 7 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.6652830839157104,
0.5166622400283813,
-1.1718099117279053,
0.18165503442287445,
0.28483888506889343,
-0.10291994363069534,
1.1081619262695312,
0.671310544013977,
-0.11430856585502625,
0.23415181040763855,
-0.1489516794681549,
0.7707345485687256,
-0.8520876169204712,
-0.248191237449646,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens before the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX measures feet by feet<sep>Tail: PersonX uses a tape measure | Yes | 0 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.33421069383621216,
0.4618927538394928,
0.07828114181756973,
0.008956896141171455,
-0.5578267574310303,
-0.5884360074996948,
1.0551764965057373,
0.41219377517700195,
-0.7487361431121826,
-0.46798717975616455,
-0.6183580160140991,
-0.32301464676856995,
-0.49279212951660156,
0.2553827166557... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Teacher: Now, understand the problem? Solve this instance: Uma dança social não é coreografada por nenhuma pessoa.
Student: | ריקוד חברתי איננו מתוכנן על ידי אדם יחיד, | 6 | NIv2 | task1278_ted_translation_pt_he | zs_opt | [
-0.3261813521385193,
0.6212109327316284,
0.3949720859527588,
-0.8819698095321655,
-0.3360276520252228,
0.8228603005409241,
0.1784970611333847,
0.13197559118270874,
0.22138790786266327,
-0.2665790021419525,
-0.002512597478926182,
0.19294767081737518,
-1.186833143234253,
-0.2550411522388458,... |
Teacher:In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' value then sort them by their 'second' key. Negative numbers should come before positive numbers.
Teacher: Now, understand the problem? Solve this instance: [{'first': -9, 'second': 55}, {'first': 77, 'second': -48}, {'first': 37, 'second': -87}, {'first': -63, 'second': 50}, {'first': -71, 'second': -59}, {'first': 64, 'second': -74}]
Student: | [{'first': -71, 'second': -59}, {'first': -63, 'second': 50}, {'first': -9, 'second': 55}, {'first': 37, 'second': -87}, {'first': 64, 'second': -74}, {'first': 77, 'second': -48}] | 6 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
-0.27903687953948975,
0.10803834348917007,
0.07902277261018753,
-0.38022881746292114,
0.5338085889816284,
-0.0675690770149231,
0.5269465446472168,
0.6437954902648926,
0.2112448811531067,
-0.1441863477230072,
-0.40355783700942993,
-0.7544748783111572,
-0.9899768829345703,
-0.322709053754806... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
6 @ 17
Solution: 23
Why? Here, '@' represents the addition operation. So, the answer is 23 (6+17=23).
New input: 8883 @ 6393 # 8508 # 4965 @ 4990 # 9840 # 3273
Solution: | -6320 | 0 | NIv2 | task087_new_operator_addsub_arithmetic | fs_opt | [
0.08251342177391052,
0.8067551851272583,
-0.5751538276672363,
-0.20579342544078827,
-0.4963541328907013,
-0.1863466203212738,
1.0287494659423828,
1.3183516263961792,
0.7026910781860352,
-0.000645202468149364,
-0.4431194067001343,
-0.6684664487838745,
0.07025611400604248,
0.4160610437393188... |
Given the task definition and input, reply with output. Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
news:Other potential clients include public administration organizations investing in utility networks and services .
polarity:neutral
| true | 5 | NIv2 | task844_financial_phrasebank_classification | zs_opt | [
-1.2974600791931152,
0.376492977142334,
-0.0009871554793789983,
0.5387743711471558,
-0.052301354706287384,
-0.11541710048913956,
0.13897699117660522,
0.5830285549163818,
0.2844427824020386,
0.22130972146987915,
-0.34665536880493164,
-0.0034363153390586376,
0.05244041979312897,
-0.665282428... |
Detailed Instructions: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
See one example below:
Problem: gocogccocco
Solution: gocog
Explanation: The substring 'gocog' is the longest possible substring that is also a palindrome. So this is a good example.
Problem: ppppbbgbbpg
Solution: | pbbgbbp | 4 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.4684666395187378,
0.797836422920227,
0.08193749189376831,
-0.428128182888031,
-0.16425588726997375,
-0.5963104963302612,
1.2693133354187012,
-0.2418593168258667,
-0.21331840753555298,
-0.2053084373474121,
-0.5900499820709229,
-0.055529989302158356,
-0.37266162037849426,
0.04841610044240... |
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
no but mestizo spic sure is | mestizo spic | 0 | NIv2 | task1504_hatexplain_answer_generation | zs_opt | [
-0.6390765905380249,
0.8347630500793457,
0.3796139359474182,
1.028076410293579,
-0.4821569323539734,
-1.1353849172592163,
-0.2270665019750595,
0.6340519785881042,
0.5597215294837952,
0.30763351917266846,
-0.9194616079330444,
-0.2838042974472046,
-0.35215169191360474,
-0.6979981064796448,
... |
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.
Input: [22.383, -84.982, 188.927, 249.291, -0.503, 46.703, -12.449, 120.994]
Output: | [ 0.042 -0.16 0.356 0.47 -0.001 0.088 -0.023 0.228] | 3 | NIv2 | task093_conala_normalize_lists | zs_opt | [
-0.3555995225906372,
0.1219584196805954,
-1.137526273727417,
-0.9261199831962585,
0.10981042683124542,
0.30992966890335083,
0.1464005708694458,
-0.44204986095428467,
-0.8794441819190979,
-0.18133187294006348,
-0.8824215531349182,
0.5660300254821777,
-0.29735130071640015,
-0.661947846412658... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Example input: Abstract: This study was designed to determine the influence of a long-term, moderate-intensity treadmill training program on the distribution of blood flow within and among muscles of rats during exercise. One group (T) of male Sprague-Dawley rats trained for 1 h/day for 13-17 wk at 30 m/min on a motor-driven treadmill. A second group (UT) of rats was conditioned for 10 min/day for 4 wk at the same speed. Muscle succinate dehydrogenase activities were higher in T than UT rats indicating a significant training effect. Blood flows (BFs) in 32 hindlimb muscles or muscle parts and other selected organs were measured in the two groups with radiolabeled microspheres during preexercise and while the rats ran for 30 s, 5 min, or 15 min at 30 m/min on the treadmill. The data indicate 1) there were no differences in total hindlimb muscle BF between UT and T rats at any time; however, 2) T rats had higher preexercise heart rates and higher muscle BFs in the deep red extensor muscles, suggesting a greater anticipatory response to the impending exercise; 3) T rats demonstrated more rapid elevations in BF in the red extensor muscles at the commencement of exercise; 4) T rats had higher BFs in red extensor muscles during exercise, whereas UT rats had higher BFs in white muscles; and 5) T rats maintained higher BFs in the visceral organs during exercise. These findings demonstrate that exercise training results in changes in the distribution of BF within and among muscles and among organs during exercise. Specifically, data indicate the high-oxidative motor units that are primarily recruited in the muscles during the initial stages of moderate treadmill exercise receive higher blood flows in the trained rats; this presumably contributes to increased resistance to fatigue.. Title: Exercise blood flow patterns within and among rat muscles after training.
Example output: yes
Example explanation: Title is appropriate for the given abstract because the focus of this abstract is cerebral white matter assesment.
Q: Abstract: BACKGROUND/OBJECTIVES Non-alcoholic fatty liver disease (NAFLD) is a leading cause of chronic liver disease and is closely associated with metabolic syndrome. In the present study, we observed the effect of ethanol extract of Allium fistulosum (EAF) on NAFLD and have suggested the possibility of using EAF as a natural product for application in the development of a treatment for NAFLD.
MATERIALS/METHODS The preventive effect on hepatic lipid accumulation was estimated by using an oleic acid (OA)-induced NAFLD model in vitro and a Western diet (high-fat high-sucrose; WD)-induced obese mouse model. Animals were divided into three groups (n = 7): normal diet group (ND), WD group, and WD plus 1% EAF group.
RESULTS EAF reduced OA-stimulated lipid accumulation in HepG2 cells in the absence of cellular cytotoxicity and significantly blocked transcriptional activation of sterol regulatory element-binding protein 1 and fatty acid synthase genes. Subsequently, we investigated these effects in vivo in mice fed either ND or WD in the presence or absence of EAF supplementation. In comparison to the ND controls, the WD-fed mice exhibited increases in body weight, liver weight, epididymal fat weight, and accumulation of fat in hepatocytes, and these effects were significantly attenuated by EAF supplementation.
CONCLUSIONS Allium fistulosum attenuates the development of NAFLD, and EAF elicits anti-lipogenic activity in liver. Therefore, EAF represents a promising candidate for use in the development of novel therapeutic drugs or drug combinations for the prevention and treatment of NAFLD.. Title: Ethanol extract of Allium fistulosum inhibits development of non-alcoholic fatty liver disease
A: | yes | 3 | NIv2 | task1587_scifact_classification | fs_opt | [
0.2949250638484955,
-0.1500498354434967,
-0.668554425239563,
0.04821069538593292,
0.5591400265693665,
-0.055229343473911285,
0.43944793939590454,
1.001326084136963,
0.013356812298297882,
-0.20934730768203735,
-0.41135671734809875,
0.11625908315181732,
-1.0969014167785645,
0.180917248129844... |
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
Austin just found out that they had cancer. They brought tears to Tracy's eyes.
Question: How would you describe Austin? | sad | 0 | NIv2 | task595_mocha_answer_generation | zs_opt | [
0.608210563659668,
0.3160921335220337,
0.40636274218559265,
-0.23739108443260193,
-0.20309126377105713,
-0.6572279930114746,
0.7854377627372742,
-0.42820414900779724,
0.3370654582977295,
0.3329528570175171,
-0.3768206834793091,
0.12867692112922668,
0.44855815172195435,
0.7265755534172058,
... |
Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader.
Problem:Avery entered the bedroom. Jacob entered the bedroom. The watermelon is in the green_crate. Avery moved the watermelon to the red_box. Where will Jacob look for the watermelon?
Solution: | red_box | 8 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
-0.20727336406707764,
0.08753658086061478,
-0.3056557774543762,
-0.1808834820985794,
-0.5460047125816345,
-0.5897760391235352,
0.6989768743515015,
0.384149432182312,
0.4139748811721802,
-0.5241363048553467,
-0.09421741962432861,
0.4175247251987457,
-0.6428414583206177,
0.2123117744922638,
... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Example: For four years we have waited expectantly for the pitter patter of tiny paws. Soon, that wait could finally be over. Tian Tian, the UK's only female giant panda, has conceived and could give birth to a cub as early as August. However Edinburgh Zoo, where the pandas live, have warned people 'not to get too excited' as the process is 'extremely complex'. Moreover, on the two previous occasions keepers inseminated Tian Tian - whose name means 'Sweetie' - she has failed to produce a panda cub. She was artificially inseminated again in March this year, but keepers at the zoo say implantation - when a fertilised egg attaches to the uterus - has not yet occurred.Tian Tian has conceived and could give birth to a cub as early as AugustShe has been inseminated twice before but so far failed to produce a cubTian Tian and Yang Guang arrived in 2011 from China to great fanfareOn loan at £600k a year, became first giant pandas to live in UK for 17 years
Questions:Under the terms of the agreement any cubs will return to _ at the age of two, the age at which they would normally leave their mother in the wild.
Example solution: China
Example explanation: This is a good example. Based on the passage, any cubs will return to China at the age of two
Problem: With celebrities appearing to magically snap back into shape mere weeks after giving birth, there's increasing pressure on new mums to get their pre-pregnancy body back quicker than ever. The Duchess of Cambridge, who is due to give birth any day now, was applauded for her natural approach to her post-birth figure, when she had Prince George in 2013. Experts agree that carefully easing the body back into exercise is the best method and Camilla Lawrence, women’s health physiotherapist at Six Physio, tells MailOnline how to get your body back to its pre-pregnancy shape - safely. Scroll down for videoNew mothers under more pressure than ever to 'bounce back' after birthExperts warn that doing too much too soon could do long term damageCamilla Lawrence, women’s health physiotherapist, says safety is key
Question:But according to _, following these simple steps can get new mums on the right track.
| Solution: Camilla Lawrence | 5 | NIv2 | task339_record_answer_generation | fs_opt | [
-0.2771807312965393,
0.7932693958282471,
-0.2922590374946594,
-0.07476282864809036,
-0.010463534854352474,
0.39519160985946655,
-0.11489398032426834,
1.0864644050598145,
-0.40369656682014465,
0.719678521156311,
-0.02914079651236534,
0.2597501575946808,
-0.7857455015182495,
0.18163231015205... |
You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Input: Consider Input: Statement: લીમ્બાળા (તા. સાયલા) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના સૌરાષ્ટ્ર વિસ્તારમાં આવેલા સુરેન્દ્રનગર જિલ્લામાં આવેલા કુલ ૧૦ (દસ) તાલુકાઓ પૈકીના એક એવા સાયલા તાલુકામાં આવેલું એક ગામ છે. લીમ્બાળા ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ઘઉં, જીરુ, વરિયાળી, બાજરી, કપાસ, દિવેલા, રજકો તેમ જ અન્ય શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: ભારત
Option B: સૌરાષ્ટ્ર
Option C: આંગણવાડી
Option D: પંચાયતઘર
Output: ભારત
Input: Consider Input: Statement: <MASK>ના ગુજરાત રાજ્યના ભાવનગર જિલ્લાના પાલીતાણા તાલુકામાં આવેલું એક ગામ છે. આ ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ઘઉં, જીરુ, મગફળી, તલ, બાજરી, ચણા, કપાસ, દિવેલા, રજકો તેમ જ અન્ય શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: આંગણવાડી
Option B: પંચાયતઘર
Option C: ગુજરાત
Option D: ભારત
Output: ભારત
Input: Consider Input: Statement: જેસરવા (તા. પેટલાદ) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના ચરોતર પ્રદેશમાં આવેલા આણંદ જિલ્લામાં આવેલા કુલ ૮ (આઠ) તાલુકાઓ પૈકીના એક એવા પેટલાદ તાલુકામાં આવેલું એક ગામ છે. જેસરવા ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ઘઉં, ડાંગર, બાજરી, તમાકુ, બટાટા, શક્કરીયાં તેમ જ અન્ય શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: આંગણવાડી
Option B: પંચાયતઘર
Option C: સભ્ય
Option D: ભારત
| Output: ભારત
| 2 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | fs_opt | [
0.04970498010516167,
0.9209346771240234,
0.28853639960289,
0.10967160761356354,
0.09058502316474915,
-0.6416477560997009,
0.36370521783828735,
1.2783846855163574,
-0.8342169523239136,
0.08662360906600952,
-0.30709317326545715,
0.7332606911659241,
-0.2373606413602829,
-0.4447111487388611,
... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn the fact into a question - easy! Don't just randomly remove a word from the given fact to form a question. Remember that your question must evaluate scientific understanding. Pick a word or a phrase in the given fact to be the correct answer, then make the rest of the question. You can also form a question without any WH words. For example, "A radio converts electricity into?"
Ex Input:
Fact: marine and benthic species use pheromones to communicate with each other.
Ex Output:
marine and benthic species use pheromones to what?
Ex Input:
Fact: snakes produce amniotic eggs.
Ex Output:
what produces amniotic eggs?
Ex Input:
Fact: Differentiation makes cells less vulnerable to cancer.
Ex Output:
| Which cells are less vulnerable to cancer?
| 1 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.750590443611145,
0.1497342586517334,
0.17450453341007233,
0.6781669855117798,
-0.527964174747467,
-1.3622584342956543,
-0.023253265768289566,
0.9249758720397949,
-0.06302697956562042,
-0.16036449372768402,
-0.8415548801422119,
0.19650158286094666,
-0.4937056303024292,
-0.2106037437915802... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Oto zdjęcie z Central Valley, z grudnia.
Output: | وهنا نرى صورة على قمة تلة في وسط وادي في ديسمبر الماضي. | 1 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.36130449175834656,
0.4087138772010803,
-0.21901419758796692,
-0.26799941062927246,
-0.20702314376831055,
0.3071383237838745,
1.4498472213745117,
-0.11826706677675247,
0.4323406219482422,
-0.4497872591018677,
-0.011518176645040512,
0.10839425027370453,
-0.43125689029693604,
0.69058680534... |
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
[Q]: English: "I have signed a decree on a state of war."
Hindi: "मैंने युद्ध की स्थिति पर एक हुक्मनामे पर हस्ताक्षर किए हैं।"
[A]: Yes
[Q]: English: There are reportedly plans to build a cargo version of the plane, which, aviation experts have suggested, would be the world's first "triple-decker" freight aircraft; Airbus has not confirmed that this variant will be built.
Hindi: यह उत्सव हॉलीवुड, कैलिफोर्निया में हॉलीवुड बॉउलेवर्ड पर ऐतिहासिक चीनी 6 थियेटर्स में दिखाया जाएगा।
[A]: No
[Q]: English: This means that of the current 1.3 billion smokers, 650 million people will die prematurely due to tobacco.
Hindi: विश्वविद्यालय और कैलौंड्रा के बीच स्थानीय ए-ग्रेड प्रतियोगिता महिलाओं के खेल के पूरा होने के लगभग तुरंत बाद शुरू हुई।
[A]: | No
| 5 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
0.07496754080057144,
-0.055391039699316025,
0.18963000178337097,
0.06054913252592087,
0.3492582440376282,
-0.03987124562263489,
-0.5545858144760132,
0.6853731274604797,
-0.09056355059146881,
-0.1400887817144394,
-0.3920881748199463,
0.3909164369106293,
0.2806301712989807,
0.032808899879455... |
Instructions: A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: گروگرام کے جی ایس ٹی کمشنر کے دفتر نے تین افراد کو جی ایس ٹی ایکٹ کے تحت جرائم کی پاداش میں گرفتار کیا
Output: | अनिल कुमार, भीकाराम और कुलदीप शर्मा को 23 जुलाई, 2019 को 14 दिनों की न्यायिक हिरासत में भेज दिया गया था। | 3 | NIv2 | task1054_pib_translation_urdu_hindi | zs_opt | [
-0.14557908475399017,
0.7818599939346313,
-0.44924187660217285,
-0.3273913860321045,
-0.07415612787008286,
-0.34304162859916687,
-0.7129429578781128,
-0.5421768426895142,
-0.32158613204956055,
-0.3142888844013214,
-0.6710939407348633,
-0.42203569412231445,
-0.07238743454217911,
-0.16494093... |
Detailed Instructions: In this task, you are given music product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Problem:live grausam . kenn keine einzige CD (lieber nicht....) denn ich habe ihn als One men show support von gary Moore gesehen: Man muß schon sehr mutig sein, um über Otis taylor etwas positives zu sagen. Und überall steht nur Gutes?????. Die Darbietung war eine schlichte Zumutung. Der Mann kann nicht singen und Gitarre spielen schon gar nicht, obwohl er ein alter Haudegen ist, könnte man ihn als völlig talentfrei bezeichnen !!!!!!!!!!!!!!! . Er hatte schon mal aufgehört, wie ich nachlesen konnte, wäre er bloß dabei geblieben....Das ist noch nicht mal unteres Strassenmusiker-Niveau. Man fragt sich wirklich, auf welcher Basis die überschwengliches Kommentare entstanden sind.Aber vielleicht gibt es ja zwei Otis Taylors :-). Der Typ, den ich gesehen habe, war nur zum Heulen... man möchte nur noch aufhören, aufhören, aufhören schreien!!!!!!!... das sein Gitarre meistens verstimmt war, störte da schon gar nicht mehr
Solution: | NEG | 8 | NIv2 | task481_cls_german_music_classification | zs_opt | [
-0.4131518006324768,
0.6805472373962402,
-0.1768246442079544,
-0.15473659336566925,
0.5879940986633301,
-0.5952492356300354,
1.0821409225463867,
0.8257201313972473,
0.38717809319496155,
1.1239874362945557,
-0.5555696487426758,
-0.20162451267242432,
-0.22412583231925964,
-0.4555454850196838... |
In this task, you are given a text of news article and corresponding headline of an article. Your task is to give label "match" if headline is correct for article, otherwise give label "no".
Article: The Emmy Awards have a start time of 5:00 PM -- that is, pacific time. Headline: Renault Fluence facelift spotted
no
Article: Gold futures contracts remained lower at mid-day today following sluggish demand on Bursa Malaysia Derivatives. Headline: Keene woman faces assault charges
no
Article: A Stillwater man was arrested on suspicion of fifth-degree domestic assault and gross misdemeanor domestic assault Dec. 14. Headline: Stillwater man arrested for domestic assault
| match
| 0 | NIv2 | task1354_sent_comp_classification | fs_opt | [
-0.4665629267692566,
0.18945088982582092,
0.5508490204811096,
0.10100740194320679,
-0.3066016137599945,
0.06593913584947586,
0.14399798214435577,
0.4432624876499176,
0.09965043514966965,
0.08034860342741013,
-0.10241842269897461,
-0.2740137279033661,
-0.4945903420448303,
0.0654523521661758... |
In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Example: Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly. Sentence 5: Marcus was happy to have the right clothes for the event. Choices: a. Marcus Buys Khakis. b. Marcus Works.
Example solution: a
Example explanation: Marcus's reasons for buying khakis is established, followed by his purchase of them and reaction.
Problem: Sentence 1: Noah likes to hike along a lake near his house. Sentence 2: Adjacent to the lake is a large mud bog. Sentence 3: One day while at the lake, Noah saw an eagle stuck in the mud. Sentence 4: Noah tied a rope to himself and a large tree to rescue the bird. Sentence 5: He was able to wade out in the bog and bring the eagle back to safety. Choices: a. Eagle Rescue. b. Fuzzy hat.
| Solution: a | 5 | NIv2 | task220_rocstories_title_classification | fs_opt | [
0.07012259215116501,
0.07542180269956589,
-0.2621370851993561,
-0.05908457562327385,
-0.15885227918624878,
-0.6136773824691772,
0.6507860422134399,
0.9440792798995972,
-0.1515953242778778,
0.4021642208099365,
-0.5856919884681702,
-0.10659560561180115,
-0.47207897901535034,
-0.2127508819103... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: 非常に難しいです
Student: | es muy complicado. | 6 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.1865766942501068,
0.5027337074279785,
0.6670535802841187,
-0.9152493476867676,
0.1018640547990799,
-0.4267708957195282,
-0.23879635334014893,
0.907813549041748,
0.45280078053474426,
-0.5774637460708618,
-0.3401251435279846,
-0.19379670917987823,
-0.2711254954338074,
-0.5222089290618896,... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Q: Quando desisto?
A: | ¿Cuándo me rindo? | 9 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.740262508392334,
1.298487663269043,
0.3019513189792633,
-0.7760308980941772,
-0.338162899017334,
-0.4342424273490906,
0.001039477065205574,
0.8633190393447876,
0.6744356751441956,
0.40518003702163696,
0.44575631618499756,
-0.33795642852783203,
-0.5474300384521484,
0.7337321639060974,
... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'Text one' if the first sentence is simpler. Otherwise output 'Text two'.
Text one: Climate Tibooburra has an arid, desert climate with temperatures above 40 ° Celsius (104 ° F) and sometimes as high as 47 ° C (117 ° F).
Text two: Climate Tibooburra has an arid, desert climate with temperatures above 40 ° Celsius (104 ° F) and sometimes as high as 47 ° C (117 ° F). | Text one | 0 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.7241322994232178,
0.02750510908663273,
-0.31395190954208374,
0.10124325007200241,
-0.16606149077415466,
-0.9712375402450562,
0.27004581689834595,
0.3218590021133423,
-0.18480002880096436,
0.029700377956032753,
-0.2922300100326538,
-0.8172429203987122,
-0.7972676157951355,
0.115192733705... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Ex Input:
والآن المهمة هي أن تحركوا الأشياء.
Ex Output:
Now your task is to move objects around.
Ex Input:
جوي كووان: لدي رهاب المسرح.
Ex Output:
Joe Kowan: I have stage fright.
Ex Input:
عندما تأخذ التعليم والتكنلوجيا ، عندها وجدت في البحوث أن ، تعلمون ، أشياء مثل المواقع الإلكترونية ، البيئات التعاونية — كنتم تستمعون لكل ذلك في الصباح — أنها دائماً تجربة أولى في أفضل المدارس ، أفضل المدارس الحضرية ، ووفقاً لرأيي ، نتائج متحيزة.
Ex Output:
| When you take education and technology, then I find in the literature that, you know, things like websites, collaborative environments — you've been listening to all that in the morning — it's always piloted first in the best schools, the best urban schools, and, according to me, biases the result.
| 1 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.32457733154296875,
0.22821131348609924,
-0.2805483043193817,
-0.3077005445957184,
-0.2151489108800888,
0.4564138650894165,
0.2182600498199463,
0.23429594933986664,
-0.007607446052134037,
-0.03035697713494301,
-0.10366825759410858,
0.636459469795227,
-0.693151593208313,
-0.25901845097541... |
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 science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. 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.
Which part of a bicycle BEST moves in a circle?
(A) Seat (B) Frame (C) Foot pedal (D) Kickstand
Solution: C
Why? Seat, frame and Kickstand are static parts of the bicycle, even when bicycle moves. Foot pedal moves in a circle as bicycle moves.
New input: Which two processes are common to all living things?
(A) flying and breathing (B) migrating and reproducing (C) using nutrients and growing (D) eliminating waste and hibernating
Solution: | C | 0 | NIv2 | task228_arc_answer_generation_easy | fs_opt | [
0.26986163854599,
0.12598595023155212,
-1.191735029220581,
0.37416934967041016,
-0.2231716513633728,
-0.38255590200424194,
0.22661611437797546,
0.8291395306587219,
-0.43600574135780334,
0.010360201820731163,
-0.4665580987930298,
0.49520954489707947,
0.038350414484739304,
0.1421267837285995... |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
[EX Q]: Sentence: xname is the best place because xname is affordable and a Vietnamese restaurant with good food. ; Categories: qual, price, recommend
[EX A]: qual[good], price[affordable], recommend[yes]
[EX Q]: Sentence: xname is the best restaurant with nice service, acceptable decor and good food. ; Categories: qual, recommend, decor
[EX A]: qual[good], recommend[yes], decor[acceptable]
[EX Q]: Sentence: I would suggest xname because it is a Spanish restaurant and expensive. it's in the West Village! ; Categories: cuisine, price, location
[EX A]: | cuisine[Spanish], price[expensive], location[the West Village]
| 6 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.49425894021987915,
0.2682989537715912,
-0.32639336585998535,
-0.5047081708908081,
-0.3049534559249878,
0.216837078332901,
0.746684193611145,
0.8082156181335449,
0.1855316013097763,
-0.05692059174180031,
0.7646587491035461,
-0.20753169059753418,
-0.24604158103466034,
0.01048098225146532,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
You could find the nodes, though, and then you went, and you go, "" Right, I've got to investigate these people.
Output: | ניתן למצוא את נקודות הצומת, ואז נכנסים, ובודקים, "" טוב, עליי לבדוק את האנשים האלה. | 1 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.5088925361633301,
0.008085947483778,
-0.0747033879160881,
0.12696786224842072,
-0.1621350198984146,
0.26837608218193054,
0.8128260374069214,
-0.19391576945781708,
0.6212331056594849,
0.04420282691717148,
-0.41164493560791016,
-0.5724893808364868,
-0.6616349220275879,
-0.0849647223949432... |
Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship with its holonym (i.e., input entity).
Input: Consider Input: bear - blue flower
Output: minute petal
Input: Consider Input: move molecule
Output: heat
Input: Consider Input: clean process
| Output: gas
| 2 | NIv2 | task471_haspart_answer_generation | fs_opt | [
-0.5533449649810791,
0.670905351638794,
-0.291920930147171,
0.6926596164703369,
-0.6124979257583618,
-0.31430691480636597,
-0.5949963927268982,
0.16119924187660217,
0.5176939368247986,
-0.7046467661857605,
-0.7673220634460449,
0.3145862817764282,
-0.08274973183870316,
0.042442578822374344,... |
In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Example input: Passage: Nearing London, Oliver encounters Jack Dawkins, a pickpocket more commonly known by the nickname the "Artful Dodger", and his sidekick, a boy of a humorous nature named Charley Bates, but Oliver's innocent and trusting nature fails to see any dishonesty in their actions. The Dodger provides Oliver with a free meal and tells him of a gentleman in London who will "give him lodgings for nothing, and never ask for change". Grateful for the unexpected assistance, Oliver follows the Dodger to the "old gentleman's" residence. In this way Oliver unwittingly falls in with an infamous Jewish criminal known as Fagin, the gentleman of whom the Artful Dodger spoke. Ensnared, Oliver lives with Fagin and his gang of juvenile pickpockets in their lair at Saffron Hill for some time, unaware of their criminal occupations. He believes they make wallets and handkerchiefs.
Question: Who believes Fagin's gang make wallets and handkerchiefs?
Example output: Oliver.
Example explanation: In the sentence "He believes they make wallets and handkerchiefs", the pronoun "he" refers to name "Oliver".
Q: Passage: "Imagine" is a song co-written and performed by English musician John Lennon. The best-selling single of his solo career, its lyrics encourage the listener to imagine a world at peace without the barriers of borders or the divisions of religion and nationality and to consider the possibility that the whole of humanity would live unattached to material possessions. Shortly before his death, Lennon said that much of the song's "lyric and content" came from his wife Yoko Ono, and in 2017, she received a co-writing credit.Lennon and Ono co-produced the song and album of the same name with Phil Spector. Recording began at Lennon's home studio at Tittenhurst Park, England, in May 1971, with final overdubs taking place at the Record Plant, in New York City, during July. One month after the September release of the LP, Lennon released "Imagine" as a single in the United States; the song peaked at number three on the Billboard Hot 100 and the LP reached number one on the UK chart in November, later becoming the most commercially successful and critically acclaimed album of Lennon's solo career. Although not originally released as a single in the United Kingdom, it was released in 1975 to promote Shaved Fish, a compilation LP and it reached number six on the chart that year. The photograph on the cover was taken by May Pang in 1974. The song has since sold more than 1.6 million copies in the UK; it reached number one following Lennon's murder in December 1980. In 1985, the Central Park Conservancy memorialised a portion of the park in honour of Lennon, called Strawberry Fields, with a mosaic that reads "Imagine".BMI named "Imagine" one of the 100 most-performed songs of the 20th century. The song ranked number 30 on the Recording Industry Association of America's list of the 365 Songs of the Century bearing the most historical significance. It earned a Grammy Hall of Fame Award and an induction into the Rock and Roll Hall of Fame's 500 Songs that Shaped Rock and Roll. A UK survey conducted by the Guinness World Records British Hit Singles Book named it the second best single of all time, while Rolling Stone ranked it number three in their list of "The 500 Greatest Songs of All Time". Since 2005, event organisers have played it just before the New Year's Times Square Ball drops in New York City. Dozens of artists have performed or recorded versions of "Imagine", including Madonna, Stevie Wonder, Joan Baez, Lady Gaga, Elton John and Diana Ross. Emeli Sandé recorded a cover for the BBC to use during the end credits montage at the close of the 2012 Summer Olympics coverage in August 2012. "Imagine" subsequently re-entered the UK Top 40, reaching number 18.
Question: What are the first names of the people who co-produced Imagine with Specter?
A: | Yoko. | 3 | NIv2 | task002_quoref_answer_generation | fs_opt | [
0.9543053507804871,
0.593276858329773,
-0.30636337399482727,
-0.21792516112327576,
0.6378960609436035,
0.022157203406095505,
0.5412147045135498,
0.5523813962936401,
-0.21702171862125397,
0.3999856412410736,
-0.0943589061498642,
1.1535593271255493,
-1.0569841861724854,
0.1796494722366333,
... |
Part 1. Definition
In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Part 2. Example
Coming from a xenophobic race that possesses the unique ability to pass among other species and chooses not to, the bounty hunter is a walking contradiction.
Answer: Singular
Explanation: "the bounty hunter" is the subject of the sentence which is singular.
Part 3. Exercise
But enough chit chat, all of you over there. "
Answer: | Singular | 7 | NIv2 | task430_senteval_subject_count | fs_opt | [
-1.1873500347137451,
0.35310542583465576,
-0.06763166189193726,
-0.20156888663768768,
-0.7177730202674866,
-0.2564150094985962,
0.8089986443519592,
-0.12149248272180557,
-0.22671261429786682,
-0.6291524767875671,
-0.5794863700866699,
0.07326769828796387,
-0.6155188083648682,
0.061298850923... |
Q: You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Film à divers parcours de vie, divers personnages, chronique sociale de personnages installés et aisés dans la société londonienne qui connaissent quelques problèmes ou drames bouleversant leur parcours de vie. Malgré un casting de haute volée, tous ces épisodes sont relativement superficiels et surtout terriblement ennuyeux. 2h10 de grand vide, difficile de tenir jusqu'au bout mais certains aimeront ce cinéma dit d’auteur sans doute destiné à un public cinéphile et intellectuel. De toute évidence, je ne suis pas la cible...
A: | 0 | 7 | NIv2 | task1591_allocine_classification | zs_opt | [
-0.9047946929931641,
0.8852101564407349,
0.15938059985637665,
-0.5917970538139343,
0.31160885095596313,
-0.09641650319099426,
0.006764225661754608,
0.4482386112213135,
-0.0006525006610900164,
-0.020191196352243423,
-0.1986643671989441,
-0.37388044595718384,
-0.40733060240745544,
-0.4243822... |
Detailed Instructions: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it should feel like it is written by younger person without high level of literature education.
See one example below:
Problem: Onomatopeia sounds
Solution: my friend call this morning to hear the different sound she collect them in a bag and call me to her town the singing of the kettle the clanging of the anvil the ringing of the phone the wailing of the siren
Explanation: the poem is related to sounds, and is in a style that resembles a poem instead of other kind of texts.
Problem: I WISH FOR A....
Solution: | i wish for a. wow a shoot star i wonder what i should wish for maybe a fish or maybe some mish cover in squish to eat maybe a pet bish or a nice cish to live in i cana't make up my mind ia'm run out of time ia'll just wish for a wish | 4 | NIv2 | task1711_poki_text_generation | fs_opt | [
0.05204809829592705,
1.5963945388793945,
-0.07511737942695618,
-0.4319174885749817,
-0.33587729930877686,
-0.8037152290344238,
0.5866603851318359,
0.476246178150177,
-0.11404569447040558,
-0.33247122168540955,
-0.4564189314842224,
0.18482676148414612,
-0.8290532827377319,
0.002582493005320... |
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 will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Personality: I like spending time with my friends and family.
I like listening to all genres of music except country music.
I like to read a lot of books.
Chat history: -Hi.
-Hey how are you?
-Good and yourself?
-Good, just listening to music and hanging out with my family.
-What do you do for a living?
-I am a teacher. How about you?
-I'm a vet at the animal shelter.
-That is awesome, what do you like to do for fun?
-I love running. Its my way to detox.
-Running is great. Do you have any other hobbies?
-Not really... what do you teach?
-I teach reading, I love books and helping children learn how to read.
-Where are you from?
Candidates 1) Care to chat with a hamburger lover? Its my fav food. 2) I bet that is a great place to draw. I sell art for a living. 3) I am from Illinois, how about you? 4) They're great pets! I just started an organic only diet.
Solution: I am from Illinois, how about you?
Why? The third choice is the best answer to the last part of the conversation, that asks where the person is from.
New input: Personality: I do not have much energy.
I love to clean.
I watch a lot of movies.
I am a stay at home mom.
I love fast food.
Chat history: -Hi how are you today.
-Hi there, good thanks you?
-I am good do you like the bible.
-No I prefer to be watching tons of movies.
-What is your favorite movies.
Candidates 1) Person... thanks for the food recs. I owe it all to you. Brain food. 2) High school musical is my favourite. 3) Good thanks and you today? 4) I do not know many dudes with afros. I met a nice guy at my debutante ball thought.
Solution: | High school musical is my favourite. | 0 | NIv2 | task1730_personachat_choose_next | fs_opt | [
-0.14994224905967712,
0.22241446375846863,
-0.36152416467666626,
0.10870438069105148,
-0.0769970715045929,
0.10031808912754059,
0.868969202041626,
0.17485779523849487,
-0.4706309735774994,
-0.3833947479724884,
-0.20618045330047607,
-0.38337230682373047,
-0.37129876017570496,
-0.11916213482... |
Detailed Instructions: Given a comment, classify it into a 'hate' speech or 'not hate' speech. Answer using 'hate' or 'not hate'.
Problem:There are so many errors XD
Solution: | not hate | 8 | NIv2 | task1604_ethos_text_classification | zs_opt | [
-0.34835416078567505,
0.5840606093406677,
0.27176612615585327,
0.2171332687139511,
-0.5763794779777527,
-0.8020740747451782,
0.36484554409980774,
0.7163695096969604,
0.20005396008491516,
0.0633155107498169,
0.5756086111068726,
-0.919363260269165,
-0.3037063479423523,
-0.70914626121521,
0... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Ex Input:
この病気の罹患者は死に至ると医師は言いました映画『ロレンツォのオイル』を観た方はご存じでしょうが主人公が階段を転げまわって泣きながら息子の運命を嘆き悲しむのですそれは私たちがジェネシスに対して持っていた感情と全く同じものでした
Ex Output:
He said that all people with this illness died, and if any of you have seen the film "" Lorenzo's Oil, "" there's a scene when the protagonist kind of rolls down the stairway crying and bemoaning the fate of his son, and that's exactly how we felt about Jenesis.
Ex Input:
政治学や経営学の学位をもっていて起業家でもあります今やっているようなことを行いたいとは思っていないのです
Ex Output:
They have degrees in political science, degrees in business — they're entrepreneurs. They don't actually want to be doing what they're doing.
Ex Input:
蒸気をあげている腐植です
Ex Output:
| Steaming piles of humus.
| 1 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
-0.5930229425430298,
-0.4850003123283386,
-0.3511832654476166,
-0.26319724321365356,
-0.48362040519714355,
-1.0186917781829834,
0.2695026993751526,
1.0143142938613892,
-0.034432247281074524,
-0.24332298338413239,
-0.051705650985240936,
0.26017123460769653,
-0.07233777642250061,
0.174639105... |
Q: You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct option for the given question. Write down the answer index: 'A' or 'B'.
Sentence: John looked up and saw both the sun and moon in the sky. The sun was closer to him then the moon was. Question: Which object appeared brighter to him? (A) sun (B) moon
A: | A | 7 | NIv2 | task1380_quarel_correct_option_generation | zs_opt | [
0.717266321182251,
0.9705393314361572,
0.03262421116232872,
-0.48195961117744446,
-0.20960396528244019,
-0.9026638269424438,
-0.10100555419921875,
1.2043803930282593,
0.5789430737495422,
0.1295802891254425,
-0.5872604846954346,
-0.06510849297046661,
-0.10163488239049911,
-0.271819353103637... |
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.
Example: Twenty-year-old Will Hunting of South Boston is a self-taught, genius-level intellect, though he works as a janitor at the Massachusetts Institute of Technology and spends his free time drinking with his friends, Chuckie (Ben Affleck), Billy (Cole Hauser) and Morgan (Casey Affleck). When Professor Gerald Lambeau (Stellan Skarsgård) posts a difficult mathematics problem as a challenge for his graduate students, Will solves the problem anonymously, stunning both the graduate students and Lambeau himself. As a challenge to the unknown genius, Lambeau posts an even more difficult problem. Lambeau chances upon Will solving the problem but Will flees the scene. That night at a bar, Will meets Skylar (Minnie Driver), a British student about to graduate from Harvard, who plans on attending medical school at Stanford and gives Will her phone number before leaving.
Example solution: Question: How old is Will Hunting in the movie ?, Answer: Twenty years
Example explanation: This is a good question which results in a factoid answer, and the answer is correct too.
Problem: In a poor neighborhood of Bogotá, highlights two families who are friends and neighbors; the Brochero and the Cristancho. Both families and whole neighbourhood waiting forward the arrival of the electric light, which reaches around the neighborhood with joy.Despite not having even the energy meters, required for electrical energy in homes, whole neighborhood steals energy from the main post to their homes, something completely illegal and something in which the aedile Kennedy is not in agreement.The family Brochero and Cristancho family during the film fall into several incidents and jokes which alienates both families, divides the district into 2 and triggering a tragedy, showing thus the evil of intolerance.
| Solution: Question: For what is the whole neighbourhood waiting forward the arrival of?, Answer: Electric light | 5 | NIv2 | task182_duorc_question_generation | fs_opt | [
0.2723894715309143,
0.37312620878219604,
0.06037881597876549,
-0.24298083782196045,
0.24436715245246887,
-0.48165667057037354,
0.3804931938648224,
0.5369889736175537,
0.01594553142786026,
-0.2758449614048004,
-0.3171611726284027,
-0.14679601788520813,
-0.579617977142334,
-0.439683347940444... |
Detailed Instructions: You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Q: I got the 10x10 unit as a special on Memorial Day and moved my stuff here as part of my relocation from CA. The on site manager, Marie, is very good. She's professional and helpful. I absolutely concur with the last reviewers - Isabel M & Jaime S. Buying a lock & insurance is mandatory which inflates the price. Office hours is the only time for bathroom/cart use. No trash bin on site. Lastly, the smell (like dog poop) always seem to hang around. I go in my unit and come out smelling bad. Don't know if some dead animal got stuck somewhere in the units. Also, just in...there's a surcharge on credit card use to pay. Gotta use debit/checking to avoid cost. However, the price I got is very low with the special so I guess I will stick around until I can move out my stuff to my new house. Can't wait.....
A: | 2 stars | 9 | NIv2 | task1292_yelp_review_full_text_categorization | zs_opt | [
-0.25993895530700684,
-0.19435709714889526,
-1.1810870170593262,
0.40074628591537476,
-0.11635980010032654,
-1.0723408460617065,
-0.4070504605770111,
0.6949695348739624,
-0.5634850263595581,
0.3719997704029083,
0.7213846445083618,
0.08483070880174637,
-0.42282992601394653,
-0.3083773255348... |
Q: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'a group of objects that look like old scissors', Sentence2: 'a airplane view of a big factory some people and cars'. Is the frequency of the word 'some' in two sentences equal?
A: | No | 7 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.7200723886489868,
0.7095568180084229,
-0.49160483479499817,
-0.24236690998077393,
0.03610194846987724,
-0.6377514004707336,
0.6822697520256042,
1.065405011177063,
-0.2971494197845459,
0.19746141135692596,
-0.405109703540802,
-0.0034146406687796116,
0.18057620525360107,
0.352087557315826... |
Detailed Instructions: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the number of the missing sentence in the new story.
Problem:Sentence1: I woke up and looked in my closet for a shirt. Sentence2: Everything was dirty and on the floor. Sentence3: I picked up a shirt to see if it smelled bad. Sentence4: I wore the blue shirt.
Solution: | 4, I found a blue shirt that didn't stink. | 8 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.6594228744506836,
0.9783061742782593,
-0.24513468146324158,
-0.6931027173995972,
0.27591049671173096,
0.3862660825252533,
0.4108130931854248,
0.3443065583705902,
0.11532315611839294,
-0.0015826181042939425,
-0.729568600654602,
-0.7284074425697327,
-0.3324647545814514,
-0.020381659269332... |
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Example input: Alterations of the architecture of cerebral white matter in the developing human brain can affect cortical development and result in functional disabilities. A line scan diffusion-weighted magnetic resonance imaging (MRI) sequence with diffusion tensor analysis was applied to measure the apparent diffusion coefficient, to calculate relative anisotropy, and to delineate three-dimensional fiber architecture in cerebral white matter in preterm (n = 17) and full-term infants (n = 7). To assess effects of prematurity on cerebral white matter development, early gestation preterm infants (n = 10) were studied a second time at term. In the central white matter the mean apparent diffusion coefficient at 28 wk was high, 1.8 microm2/ms, and decreased toward term to 1.2 microm2/ms. In the posterior limb of the internal capsule, the mean apparent diffusion coefficients at both times were similar (1.2 versus 1.1 microm2/ms). Relative anisotropy was higher the closer birth was to term with greater absolute values in the internal capsule than in the central white matter. Preterm infants at term showed higher mean diffusion coefficients in the central white matter (1.4 +/- 0.24 versus 1.15 +/- 0.09 microm2/ms, p = 0.016) and lower relative anisotropy in both areas compared with full-term infants (white matter, 10.9 +/- 0.6 versus 22.9 +/- 3.0%, p = 0.001; internal capsule, 24.0 +/- 4.44 versus 33.1 +/- 0.6% p = 0.006). Nonmyelinated fibers in the corpus callosum were visible by diffusion tensor MRI as early as 28 wk; full-term and preterm infants at term showed marked differences in white matter fiber organization. The data indicate that quantitative assessment of water diffusion by diffusion tensor MRI provides insight into microstructural development in cerebral white matter in living infants.
Example output: Microstructural development of human newborn cerebral white matter assessed in vivo by diffusion tensor magnetic resonance imaging.
Example explanation: This title is appropriate for the given abstract because the focus of this abstract is cerebral white matter assesment.
Q: Memory function often declines with age, and is believed to deteriorate initially because of changes in synaptic function rather than loss of neurons. Some individuals then go on to develop Alzheimer's disease with neurodegeneration. Here we use Tg2576 mice, which express a human amyloid-β precursor protein (APP) variant linked to Alzheimer's disease, to investigate the cause of memory decline in the absence of neurodegeneration or amyloid-β protein amyloidosis. Young Tg2576 mice (< 6 months old) have normal memory and lack neuropathology, middle-aged mice (6–14 months old) develop memory deficits without neuronal loss, and old mice (> 14 months old) form abundant neuritic plaques containing amyloid-β (refs 3–6). We found that memory deficits in middle-aged Tg2576 mice are caused by the extracellular accumulation of a 56-kDa soluble amyloid-β assembly, which we term Aβ*56 (Aβ star 56). Aβ*56 purified from the brains of impaired Tg2576 mice disrupts memory when administered to young rats. We propose that Aβ*56 impairs memory independently of plaques or neuronal loss, and may contribute to cognitive deficits associated with Alzheimer's disease.
A: | A specific amyloid-β protein assembly in the brain impairs memory | 3 | NIv2 | task1586_scifact_title_generation | fs_opt | [
0.6700831055641174,
0.048515014350414276,
-0.04931683838367462,
-0.3779168725013733,
0.3659611940383911,
-0.29409345984458923,
0.3110077381134033,
1.0064228773117065,
0.382294237613678,
0.38887977600097656,
-0.015445523895323277,
0.1058521419763565,
-0.8386859893798828,
0.4503210186958313,... |
Given the task definition and input, reply with output. Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Somali sentence: Iyo Bogaadin kuwa sidoo kale ku dadaalaan war wanaagsan u ah kuwa dhinaca Eebahood waxaa jira noocyo kala duwan oo ammaan iyo hadiyado eeriyo. Markaasuu ku filan oo ah dood ay ahayd hadalka Eebe Ilaaha Qaadirka ah,
| And kudos to those who strive also good news for those on the side of their Lord that there are various kinds of glory and gifts galore. And enough of the argument was the word of Allah Almighty, | 5 | NIv2 | task450_opus_paracrawl_so_en_translation | zs_opt | [
-0.6186063885688782,
1.387432336807251,
0.4562133550643921,
-0.0011606848565861583,
-0.6545387506484985,
-1.052013874053955,
-0.017116351053118706,
0.3862905204296112,
0.4194556474685669,
-1.062004804611206,
-0.5069800615310669,
0.810516357421875,
-0.9062657356262207,
0.07346892356872559,
... |
Given the task definition, example input & output, solve the new input case.
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'.
Example: Person1: Hey man , you wanna buy some weed ?
Person2:Some what ?
Person 1: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 !
Output: informal
Based on the conversation, we can see that there is a presence of exclamation which is not present in a formal discussion. Therefore this is an informal conversation
New input case for you: Person1: Okay , I ’ ll take it . By the way , do you have delivery service ?
Person2:You don ’ t need to carry the furniture home because we have delivery service .
Person1: Do you charge for delivery ?
Person2:Wo will deliver the goods to you for free .
Person1: Very good . Could you deliver it to this address ?
Person2:Sure . Please write down your name and your phone number .
Person1: OK . Can you tell me the delivery time ?
Person2:No later than tomorrow .
Person1: Thanks .
Output: | informal | 1 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
-0.15253359079360962,
0.3896072804927826,
-0.1951005458831787,
-0.416411817073822,
0.357347309589386,
-0.2747061848640442,
0.47586411237716675,
0.7361071109771729,
-0.12884938716888428,
0.08035598695278168,
-0.5935268998146057,
-0.2862025499343872,
-0.4295359253883362,
-0.09719852358102798... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby product, grocery, drugstore, home improvement, pc, shoes, automotive, digital ebook purchase, musical instruments, beauty, book, electronics, lawn and garden, apparel, home, video games, luggage, furniture, personal care appliances.
The unit worked great the first two times we used it. Seemed very sturdy and well made - NOT. On just the third use, it died about 15 minutes into the cooking process. I should have paid more attention to the 1 and 2 star ratings here. It's a shame, as I liked not having the Bluetooth option and the higher watt heating element, but it doesn't matter if it doesn't work for more than 4 hours! | kitchen | 0 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.10615991801023483,
0.21963585913181305,
-0.54158616065979,
-0.015988269820809364,
0.16748589277267456,
0.028617694973945618,
0.38196861743927,
0.3539467453956604,
-0.416425883769989,
0.3642679452896118,
0.304558664560318,
0.34282615780830383,
-0.14343827962875366,
-0.38521718978881836,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
[EX Q]: Eu estava maravilhada.
[EX A]: Byłam zdumiona.
[EX Q]: E dentro de um minuto, vou por este mapa em movimento.
[EX A]: I za moment, puszczę tą mapę w ruch.
[EX Q]: "" É o que quer que seja que nos comove pessoalmente "".
[EX A]: | To coś co cię porusza.
| 6 | NIv2 | task1281_ted_translation_pt_pl | fs_opt | [
-0.6858066320419312,
0.8020039796829224,
-0.38847386837005615,
-0.5731470584869385,
-0.8321762084960938,
-0.7744694948196411,
0.714868426322937,
-0.32317087054252625,
0.19266551733016968,
-0.36479029059410095,
-0.33046022057533264,
0.15902641415596008,
0.06754345446825027,
-0.1689080595970... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
Ex Input:
['9853', 'n', 'E', '9419', '575', '2089']
Ex Output:
4
Ex Input:
['m', 'Z', '4237', 'H', '8723']
Ex Output:
2
Ex Input:
['709', 'C', 'Q', '6885', 'q', 'e', '935', '4685', 'V', '9441', '121', '6661', 'h', '6029', '5835', '3285', 'u', '3609', '2829', '6535', '43', '5869', '2439', 'r', '463', 'l', 'm', '8391', 'j', '3795', '7849', '5981', 'K', '3877', '4173', '6099']
Ex Output:
| 24
| 1 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
0.05584849789738655,
-0.19873356819152832,
-0.3121798038482666,
-0.08546064794063568,
-0.09576734900474548,
-0.8172119855880737,
0.6520546674728394,
0.4286954402923584,
-0.883819580078125,
0.5801993012428284,
-0.7350375652313232,
0.4542892277240753,
-0.10884442925453186,
0.3026838898658752... |
Teacher: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Article: australia 's current account deficit shrunk by a record #.## billion dollars -lrb- #.## billion us -rrb- in the june quarter due to soaring commodity prices , figures released monday showed . Title: australian current account deficit narrows sharply
Solution: yes
Reason: This headline is appropriate for the given article text because the focus of this article is australian current accounts. Hence, the label is 'yes'.
Now, solve this instance: Article: the dollar fell against the yen in asia on tuesday as market players shunned risks after the lehman brothers ' bankruptcy sparked worries over the entire global financial system , analysts said . Title: dollar falls in asian trade on financial woes
Student: | yes | 2 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.6510345339775085,
-0.081462562084198,
-0.12235583364963531,
-0.14056016504764557,
-0.24779200553894043,
-0.3505847454071045,
-0.13288521766662598,
0.8603244423866272,
-0.07665404677391052,
0.15093496441841125,
-0.05887986719608307,
0.3214521110057831,
-0.6423419713973999,
0.069837771356... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (correct), CASE_DIFF (case error), PUNCUATION_DIFF (punctuation error), CASE_AND_PUNCUATION_DIFF (both case and punctuation error), STEM_BASED_DIFF (stem word error), DIGIT_DIFF (digit error), INTRAWORD_PUNC_DIFF (intra-word punctuation error), and UNKNOWN_TYPE_DIFF (an error that does not corrrespond to the previous categories)].
Ex Input:
['so', 'just', 'a', 'quick', 'review', 'of', 'what', "we're", 'doing', 'in', 'the', 'last', 'video', 'we', 'had', 'this', 'oddly', 'shaped', 'pipe', 'and', 'you', 'know', 'I', 'have', 'this', 'the', 'fluid', 'coming', 'in', 'at', 'an', 'input', 'velocity', 'v1', 'the', 'pressure', 'on', 'the', 'the', 'left-hand', 'side', 'pushing', 'to', 'the', 'right', 'is', 'p1', 'and', "it's", 'velocity', 'or', 'I', 'already', 'said', 'the', 'boss', 'in', 'the', 'area', '', 'this', 'hole', 'is', 'a', '1', 'and', 'what', 'we', 'and', 'and', 'of', 'everything', 'as', 'you', 'know', 'the', 'same', 'variables', 'with', 'the', '2', 'on', 'it', 'is', 'coming', 'out', 'of', 'the', 'pipe', 'and', 'what', 'we', 'just', 'set', 'up', 'in', 'that', 'last', 'video', 'as']
Ex Output:
['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF']
Ex Input:
['you', 'if', 'humans', 'could', 'fly', 'without', 'tools', 'and', 'machines', 'how', 'fast', 'do', 'you', 'think', 'we', 'would', 'go', 'as', 'of', '2012', 'the', 'world', 'record', 'for', 'fastest', 'short', 'distance', 'sprint', 'speed', 'is', 'roughly', '27', 'miles', 'per', 'hour', 'running', 'speed', 'depends', 'on', 'how', 'much', 'force', 'is', 'exerted', 'by', 'the', 'runners', 'legs', 'and', 'according', 'to', "Newton's", 'second', 'law', 'of', 'motion', 'force', 'is', 'the', 'product', 'of', 'mass', 'times', 'acceleration', 'and', "Newton's", 'third', 'law', 'states', 'that', 'for', 'every', 'action', 'there', 'is', 'an', 'equal', 'and', 'opposite', 'reaction', 'so', 'that', 'means', 'running', 'requires', 'having', 'a', 'ground', 'to', 'push', 'off', 'from', 'and', 'the', 'ground', 'pushes', 'back', 'against', 'the', 'runners']
Ex Output:
['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'INTRAWORD_PUNC_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'CASE_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'CASE_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'INTRAWORD_PUNC_DIFF']
Ex Input:
['we', 'learned', 'several', 'videos', 'ago', 'that', 'if', 'I', 'had', 'an', 'infinite', 'uniformly', 'charged', 'plane', 'let', 'me', 'draw', 'one', 'right', 'here', 'and', 'I', "won't", 'draw', 'it', 'infinite', 'and', "I'll", 'tell', 'you', 'why', 'in', 'a', 'second', 'and', 'if', 'we', 'had', 'an', 'infinite', 'uniformly', 'charged', 'plane', 'and', "let's", 'say', 'you', 'know', 'this', 'one', 'is', 'positive', 'that', 'the', 'field', 'the', 'electric', 'field', 'generated', 'by', 'it', 'is', 'is', 'constant', 'those', 'are', 'the', 'field', 'lines', 'they', 'should', 'all', 'be', 'the', 'same', 'size', 'and', 'the', 'strength', 'of', 'the', 'field', 'or', 'the', 'magnitude', 'of', 'the', 'field', 'is', 'equal', 'to', '2', 'times', "Coulomb's", 'conscious', 'constant', 'times', 'pi', 'times', 'the']
Ex Output:
| ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF']
| 1 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.29499876499176025,
0.033467505127191544,
-0.04735969752073288,
0.07115578651428223,
0.4854252338409424,
-0.4478886127471924,
0.5946519374847412,
1.203443169593811,
-0.6007296442985535,
0.27343782782554626,
0.03573266416788101,
-0.3763270378112793,
-0.26781967282295227,
-0.102149479091167... |
instruction:
Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
question:
वाया पैनिको से दूर रहो!
answer:
Stay out of the Via Panico!
question:
विश्वास नहीं होता बाहर कितनी तेजी से चीजें चलती हैं.
answer:
I can't believe how fast things move on the outside.
question:
लेकिन फिर, 1949 की वसंत में, शक्तियां जो तय की जायें कि ...
answer:
| But then, in the spring of 1949, the powers that be decided that...
| 9 | NIv2 | task1323_open_subtitles_hi_en_translation | fs_opt | [
-0.30918553471565247,
0.772019624710083,
0.3047802448272705,
0.050287146121263504,
-0.22356568276882172,
-1.2807464599609375,
0.23649610579013824,
0.5720428228378296,
-0.23384234309196472,
-0.18593040108680725,
-0.6732087731361389,
0.2428896129131317,
-0.715584933757782,
0.3316836059093475... |
Detailed Instructions: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Q: (CNN) Russia said one of its airstrikes in Syria killed ISIS spokesman Mohammad al-Adnani -- a claim that a US official called preposterous. On Wednesday, Russia's Ministry of Defense announced it killed the terror leader on the ministry's official Facebook page. It said Adnani was one of up to 40 ISIS militants killed by a Russian bomber in Aleppo province. But a US defense official slammed Russia's assertion. "It would be laughable but for the very real humanitarian suffering Russia has inflicted," the defense official said Wednesday. "We stand by the statement we made yesterday. We conducted a strike that targeted al-Adnani. We are assessing the results of that strike."A drone controlled by the US targeted ISIS leader, US defense officials told CNNUS official: Russia's claim would be "laughable" if it weren't for "humanitarian suffering Russia has inflicted"Mohammad al-Adnani had urged lone-wolf attacks against countries launching strikes against ISIS
Questions:"Al-_ has served as principal architect of ISIS' external operations and as ISIS' chief spokesman. (A) CNN (B) Russia (C) Syria (D) ISIS (E) Mohammad al (F) Adnani (G) US (H) Ministry of Defense (I) Facebook (J) Russian (K) Aleppo
A: | (F) | 9 | NIv2 | task302_record_classification | zs_opt | [
0.9853493571281433,
-0.0904768630862236,
0.07260265946388245,
-0.7697286605834961,
0.40142786502838135,
0.2712518870830536,
0.5878089070320129,
1.1761739253997803,
-0.24446320533752441,
0.6323939561843872,
-0.11682725697755814,
0.6732747554779053,
-0.5680791139602661,
0.7576776146888733,
... |
Detailed Instructions: In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Q: Gelungener Spagat zwischen Theologie und Unterhaltung . Es gibt etliche Negativ- aber auch Positivrezensionen für dieses Buch. Ich habe mir alle sorgfältig durchgelesen, kann aber den Absolutismus vieler Negativbewertungen nicht nachvollziehen. Meiner Meinung nach liest sich das Buch insgesamt ziemlich flüssig - zugegeben: oftmals wird man zwischen Gegenwart, jüngster und weiter zurück liegender Vergangenheit hin- und her geschleudert, aber das ist nicht tragisch, sondern eigentlich aufrüttelnd und spannend. Mir hat das Buch sehr gut gefallen, da es insgesamt ziemlich pragmatisch, aber trotzdem interessant geschrieben wurde und die Geschichte lebendig macht. Es fährt nicht mit auf der Welle der Sensationslust, die momentan durch etliche Gralsberichte und -bücher auf der Welt grassiert. Natürlich weiß keiner ganz genau, was vor ca. 2000 Jahren passiert ist, aber so wie es im Buch dargestellt wird, könnte es doch gewesen sein. Es wird auch die Stimme erhoben für die ersten Frauen der Christenheit, die nach wie vor doch meistens unerwähnt bleiben (waren es doch fast nur Frauen, die während der Kreuzigung Jesus beistanden - die meisten der männlichen Jünger hielten sich versteckt). Maria Magdalena und auch Jesus werden als Menschen geschildert, die sympathisch erscheinen und nicht nur geschichtliche Hintergrundbilder sind. Insgesamt sehr empfehlenswert für alle, die noch hinterfragen, die sich für den Anfang der christlichen Kirchengeschichte interessieren.
A: | POS | 9 | NIv2 | task479_cls_german_books_classification | zs_opt | [
-0.4096328318119049,
0.10919071733951569,
-0.5597827434539795,
-0.010379296727478504,
0.46519994735717773,
-0.44753244519233704,
0.9292612671852112,
0.6997541189193726,
0.3446667790412903,
0.8227728605270386,
-0.5038299560546875,
-0.09421569108963013,
-0.1433137059211731,
-0.08851458132266... |
Detailed Instructions: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: Usaha untuk menjalankan sistem tanda bahaya menyerupai yang dikoordinasi oleh Pasific Tsunami Warning Center di Hawaii telah melewati sejumlah batu tanda peringatan.
A: | PacificTsunamiWarningCenterinHawaiiが取りまとめをしているものと似た警報システムを実施するための努力は、多数の重要な成果を上げてきました。 | 9 | NIv2 | task1116_alt_id_ja_translation | zs_opt | [
0.6271872520446777,
0.16621774435043335,
-0.25444501638412476,
-0.4411333501338959,
-0.2511979043483734,
-1.078329086303711,
0.5569643974304199,
-0.2704296112060547,
-0.7326605916023254,
-0.20199957489967346,
-0.2485540807247162,
0.2483644038438797,
-0.6280837655067444,
0.711837887763977,
... |
Detailed Instructions: In this task, you have to generate the title of the recipe given its required ingredients and directions.
See one example below:
Problem: ingredients: '1 cup minced onion', '1 1/2 tablespoons lemon juice', '3/4 teaspoon Hungarian paprika', '3/4 teaspoon ground cayenne pepper', '1/4 teaspoon salt', <sep> directions: 'Rinse onions in sieve under cold running water; drain.', 'Mix together ingredients in a small bowl; allow flavors to meld over 1 hour period before serving.', 'Serve as table condiment with Indian foods, samosas, pakoras, along with other chutneys.'
Solution: Indian Hot Onion Relish
Explanation: By knowing the ingredients and its recipe, the title of the dish is predicted correctly.
Problem: ingredients: '3/4 cup butter', '2/3 cup sugar', '1 egg', '1 teaspoon vanilla', '1/4 teaspoon almond extract', '2 cups flour', '1 teaspoon baking powder', '1/4 teaspoon salt', 'cocoa powder (optional)',<sep> directions: 'Cream butter and sugar.', 'Add egg, vanilla, and almond extract.', 'Add sifted dry ingredients.', 'Remove 1/3 cup dough and tint it by stirring in a tablespoon or two of cocoa powder.', 'Refrigerate at least an hour to make dough easier to handle.', 'Form the dough into desired shapes.', 'Bake at 325 degrees on an ungreased cookie sheet for 12 to 16 minutes or until edges are lightly browned.', 'To Make Sheep:', 'Shape dough into little balls from 1/8 inch to 1/2 inch.', 'Arrange white dough in ovals about 2 1/2 inches by 1 1/2 inches - as a wooly sheep.', 'Roll four little chocolate dough balls between your fingers to form legs and attach.', 'Form 1/2 inch chocolate ovals for heads. Add a bit of white dough for an eye.'
Solution: | Sheepy Cookies (Or Sugar Cookie Dough To Shape As You Wish) | 4 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.8294386863708496,
0.3995240330696106,
-0.3719727694988251,
0.8846465945243835,
0.17193570733070374,
-0.5139718651771545,
0.8019412755966187,
1.2443780899047852,
-0.4977259337902069,
-0.12913545966148376,
-0.2377016544342041,
0.2760808765888214,
-0.24955512583255768,
0.18933920562267303,
... |
Teacher:In this task, you need to count the number of nouns/verbs in the given sentence.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'Group of people walking through a city side walk with vending machines'. Count the number of nouns in this sentence.
Student: | 5 | 6 | NIv2 | task155_count_nouns_verbs | zs_opt | [
-0.3673337399959564,
1.0192034244537354,
-0.3679758310317993,
-0.1456613540649414,
-0.45119988918304443,
-0.38443562388420105,
-0.25683942437171936,
0.8218725919723511,
-0.03424923121929169,
0.32565250992774963,
-0.30610913038253784,
-0.6978335380554199,
-0.48089057207107544,
0.10538096725... |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in the two lists with the updated substring.
Q: TIpQznENlqaEBCxDdjUFHTyPsBNjIOfLqbuiqmGoryR, wWLGfdslScAlaGhTejUFHTyPsBNjIOfLqbueAvwg
A: TIpQznENlqaEBCxDdbbffhijjlnopqstuuyiqmGoryR, wWLGfdslScAlaGhTebbffhijjlnopqstuuyeAvwg
****
Q: UavQtLUICEJzHMDv, tVjjvXBnpwwvQtLUICEJzHMKbFJzU
A: UacehijlmqtuvzDv, tVjjvXBnpwwcehijlmqtuvzKbFJzU
****
Q: ltUBTuSxnEuuowOn, kxnoBTuSxnEqfW
A: | ltUbenstuxuuowOn, kxnobenstuxqfW
****
| 4 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.5189034938812256,
0.5121667981147766,
-0.1449412703514099,
0.2795294225215912,
0.2728193998336792,
-0.23662257194519043,
0.6681625247001648,
0.6976455450057983,
-0.43139979243278503,
0.32145562767982483,
-0.5586454272270203,
-0.9670072197914124,
0.010602816008031368,
-0.11005397886037827... |
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 question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
what latitude is tropic of cancer, Answer: It currently (Year 2013) lies at 23° 26′ 15.143′′ north of the Equator.
Solution: Yes
Why? This is a good example, and the given answer correctly answers the question.
New input: how can plant gases slow erosion, Answer: Excessive erosion causes problems such as desertification , decreases in agricultural productivity due to land degradation, sedimentation of waterways, and ecological collapse due to loss of the nutrient rich upper soil layers .
Solution: | No | 0 | NIv2 | task1294_wiki_qa_answer_verification | fs_opt | [
-0.27152037620544434,
-0.3987371325492859,
-0.11516928672790527,
-0.5540834069252014,
-0.11753997206687927,
-1.053351879119873,
0.6806711554527283,
0.2199915647506714,
-0.10796281695365906,
0.46727776527404785,
-0.258318156003952,
-0.17784921824932098,
-0.7418676018714905,
0.29161733388900... |
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