inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Let me give you an example: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
The answer to this example can be: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
Here is why: The Polish sentence is correctly translated into Galician, because the meaning is preserved.
OK. solve this:
Wtedy właśnie odkryłem komedię.
Answer: | E foi entón cando descubrín a comedia. | 8 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-0.9722172617912292,
1.191559076309204,
-0.02652602456510067,
-0.748775839805603,
0.08215618133544922,
-0.5322111248970032,
0.9590885639190674,
0.2358054518699646,
-0.18971899151802063,
-0.2423309087753296,
-0.3381316661834717,
0.7453559637069702,
-0.2771851718425751,
0.07917886972427368,
... |
Detailed Instructions: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct answer is the holding statement that corresponds to the citing text. The four incorrect answers are other holding statements. You should find the correct option. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted.
Problem:to that extent. Reed, supra, at 17, 104 S.Ct. 2901. The holding in Cage represents a degree of novelty sufficient to constitute cause. As such, Mercer has established cause to avoid otherwise procedurally defaulting on his claim challenging the reasonable doubt instruction. Sufficient prejudice to establish federal habeas jurisdiction also exists. In particular, the Supreme Court has held that the Fifth Amendment requirement of proof beyond a reasonable doubt in criminal cases is so intertwined with the Sixth Amendment right to a jury verdict that a constitutionally deficient jury instruction cannot produce a guilty verdict comporting with due process but, rather, requires reversal of a conviction. Sullivan v. Louisiana, 508 U.S. 275, 277-80, 113 S.Ct. 2078, 124 L.Ed.2d 182 (1993) (<HOLDING>). It follows that a claimed Cage violation
Holding statements: (A) recognizing that where the error involved defies analysis by harmless error standards or the data is insufficient to conduct a meaningful harmless error analysis then the error will not be proven harmless beyond a reasonable doubt (B) holding exclusion was harmless error (C) holding that when defendant properly objects to charge error reversal required unless error was harmless (D) holding that any error was harmless and thus not plain error (E) holding a cage violation could never be held harmless error and thus not amenable to harmless error review but rather required outright reversal
Solution: | (E) | 8 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.4406486451625824,
-0.09250499308109283,
-0.21182292699813843,
0.5428972244262695,
0.14997738599777222,
-1.3838216066360474,
-0.0521450936794281,
1.3002731800079346,
-0.3842008709907532,
-0.23382283747196198,
-0.8695833086967468,
-0.4392983913421631,
-0.5806692838668823,
0.207463830709457... |
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Example Input: Paragraph: Co-infections by multiple pathogens have important implications in many aspects of health, epidemiology and evolution. However, how to disentangle the non-linear dynamics of the immune response when two infections take place at the same time is largely unexplored. Using data sets of the immune response during influenza-pneumococcal coinfection in mice, we employ here topological data analysis to simplify and visualise high dimensional data sets. We identified persistent shapes of the simplicial complexes of the data in the three infection scenarios: single viral infection, single bacterial infection, and co-infection. The immune response was found to be distinct for each of the infection scenarios and we uncovered that the immune response during the co-infection has three phases and two transition points. During the first phase, its dynamics is inherited from its response to the primary (viral) infection. The immune response has an early shift (few hours post coinfection) and then modulates its response to react against the secondary (bacterial) infection. Between 18 and 26 h post co-infection the nature of the immune response changes again and does no longer resembles either of the single infection scenarios.
Title: Topological data analysis to model the shape of immune responses during co-infections
Example Output: True
Example Input: Paragraph: a summary of the evolution of infectiousness over time. When who-infects-whom is observed, the Nelson-Aalen estimator produces an unbiased estimate of the cumulative hazard function of the contact interval distribution. When who-infects-whom is not observed, we use an EM algorithm to average the Nelson-Aalen estimates from all possible combinations of who-infected-whom consistent with the observed data. This converges to a nonparametric maximum likelihood estimate of the cumulative hazard function that we call the marginal Nelson-Aalen estimate. We study the behavior of these methods in simulations and use them to analyze household surveillance data from the 2009 influenza A(H1N1) pandemic.
Title: Nonparametric survival analysis of infectious disease data Summary
Example Output: True
Example Input: Paragraph: A B S T R A C T Our current knowledge of idiopathic pneumonia syndrome (IPS) predates improved specificity in the diagnosis of IPS and advances in hematopoietic cell transplantation (HCT) and critical care practices. In this study, we describe and update the incidence, risk factors, and outcomes of IPS. We performed a retrospective cohort study of all adults who underwent allogeneic HCT at the Fred Hutchinson Cancer Research Center between 2006 and 2013 (n = 1829). IPS was defined using the National Heart, Lung, and Blood Institute consensus definition: multilobar airspace opacities on chest imaging, absence of lower respiratory tract infection, and hypoxemia. We described IPS incidence and mortality within 120 and 365 days after HCT. We examined conditioning intensity (nonmyeloablative versus myeloablative with high-dose total body irradiation [TBI] versus myeloablative with low-dose TBI) as an IPS risk factor in a time-to-event analysis using Cox models, controlled for age at transplant, HLA matching, stem cell source, and pretransplant Lung function Score (a combined measure of impairment in Forced Expiratory Volume in the first second (FEV 1 ) and Diffusion capacity for carbon monoxide (DLCO)). Among 1829 HCT recipients, 67 fulfilled IPS criteria within 120 days (3.7%). Individuals who developed IPS were more likely to be black/non-Hispanic versus other racial groups and have severe pulmonary impairment but were otherwise similar to participants without IPS. In adjusted models, myeloablative conditioning with high-dose TBI was associated with increased risk of IPS (hazard ratio, 2.5; 95% confidence interval, 1.2 to 5.2). Thirty-one patients (46.3%) with IPS died within the first 120 days of HCT and 47 patients (70.1%) died within 365 days of HCT. In contrast, among the 1762 patients who did not acquire IPS in the first 120 days, 204 (11.6%) died within 120 days of HCT and 510 (29.9%) died within 365 days of HCT. Our findings suggest that although the incidence of IPS may be declining, it remains associated with post-transplant mortality. Future study should focus on early detection and identifying pathologic mediators of IPS to facilitate timely, targeted therapies for those most susceptible to lung injury post-HCT.
Title: Infectious Disease Incidence, Risk Factors, and Outcomes of Idiopathic Pneumonia Syndrome after Allogeneic Hematopoietic Cell Transplantation
Example Output: | False
| 3 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.5984702110290527,
0.3381859064102173,
-0.3176182210445404,
-0.07129616290330887,
0.5122292041778564,
-0.6428937911987305,
0.847305417060852,
0.9138604402542114,
-0.05750323832035065,
0.38063234090805054,
-0.5093013048171997,
0.7854927182197571,
-0.6793797016143799,
0.19823472201824188,
... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Dialogue 1: 'nope then what makes you think you can see only for you'. Dialogue 2: 'you can be my personal photographer your social media photographer p haha you got it rights'.
Output: | no | 1 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.6995665431022644,
0.2957470715045929,
0.48603177070617676,
-0.4251551032066345,
-0.15615737438201904,
0.6656358242034912,
0.9360295534133911,
0.2159009724855423,
0.17467063665390015,
-0.347326397895813,
0.0009072048706002533,
-0.8467501401901245,
-0.05678762495517731,
-0.101324401795864... |
Teacher: In this task, you need to reverse the order of words in the given sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: luggage surrounds a vehicle in an underground parking area
Solution: area parking underground an in vehicle a surrounds luggage
Reason: This is a correct answer, as it correctly reverses the order of the words.
Now, solve this instance: Sentence: a woman jumps with a tennis racket on a tennis court
Student: | court tennis a on racket tennis a with jumps woman a | 2 | NIv2 | task376_reverse_order_of_words | fs_opt | [
-0.36798202991485596,
0.7387984991073608,
-0.07372133433818817,
0.027952011674642563,
0.04652704298496246,
-0.2588971257209778,
0.010183082893490791,
0.6125059127807617,
0.8056559562683105,
-0.24181848764419556,
-0.7013942003250122,
-0.026425419375300407,
-0.4725872278213501,
-0.2952232956... |
Teacher:In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a new line.
Teacher: Now, understand the problem? Solve this instance: When is the new halloween movie going to be released?
Student: | When was Halloween (1978) released?
October 25, 1978 | 6 | NIv2 | task671_ambigqa_text_generation | zs_opt | [
-0.24617590010166168,
0.2812228798866272,
0.11818324029445648,
-0.0018220070051029325,
-0.05496613681316376,
-0.6590666770935059,
-0.3187611401081085,
0.8820742964744568,
-0.3730347156524658,
-0.6660373210906982,
-0.1407235562801361,
-0.43898245692253113,
-0.2397060990333557,
-0.2118248343... |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
[EX Q]: Personality: I was a slave for 10 years.
I got married 10 years later.
I was the first born child.
My favorite color is red.
I escaped and later became a carpenter.
Chat history: -Hello, nice to meet you?
-Is that a question or a statement.
-Just a greeting, sorry, I think the question mark jumped up there.
-Haha how are you today.
-Was doing good, but my auto spell thinks differently.
-Life isn'thing but pain.
-Sorry, whats wrong, is it work?
-Oh just an observation haha.
-What kind of work do you do?
-I just take care of the kids.
[EX A]: Are you married, have a family?
[EX Q]: Personality: I sing in the church choir.
I grew up in the trailer park.
I love hot wings.
I m a truck driver in the south.
I've three kids.
Chat history: -Hello, I am currently driving trucks in the south.
-I have been at Google a long time.
-I can not work at Google because I own three kids.
-You own 3 kids. I've days off.
-I wish I had days off because hot wings are the love of my life.
-I'm a resident of settle.
-Where is settle? My life started in a trailer park.
-I'm sorry. I meant Seattle.
[EX A]: Where is a seattle? Singing in this lame church choir right now.
[EX Q]: Personality: Drawing in traditional style is my pasion.
Someday I with to become a famous animator and work for a big company like dreamworks.
My inspiration is clasical music.
I m a graphic designer.
Chat history: -Hello, can I sing to you?
-Yes! I bet you would make a good voiceover actor. You dance?
-I sometimes dance when I listen to the lumineers.
-Oh okay. I draw and paint people smiling. You like to smile?
-I love smiling, will you paint me?
-Hmmm. I design graphics while listening to classical music. You draw or paint?
-Not really. I mostly just sing and read.
-Sure if you sing a song. Deal? I want to work for dreamworks so bad. Dance?
-Sure. I can dance for you too.
-What inspires you? I love classical music. I will be an animator soon. Reading what?
-The lumineers inspire me. Any book is fine usually.
-You seem nice. Any advice for future animator slash author? You married?
-I'm not married. Make cute things, that is what people love.
[EX A]: | Thanks! I graphic design my own book covers. I wish you happiness.
| 6 | NIv2 | task1729_personachat_generate_next | fs_opt | [
-0.415101557970047,
0.0255855955183506,
-0.38902372121810913,
0.06817711889743805,
-0.22502602636814117,
-0.17245158553123474,
0.5148091316223145,
1.0558745861053467,
-0.5115765333175659,
0.4389045238494873,
0.03415481746196747,
0.26967546343803406,
-0.2062707245349884,
-0.0794633999466896... |
Generate a correct and concise answer for the question based on the words in the context.
Q: Context : Lars Gathenhielm died in 1718, at the age of 29, from tuberculosis, but the piracy empire he had created continued under his wife, Ingela Hammar.
Question : What medical condition killed Lars Gathenhielm?
A: | tuberculosis | 4 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
0.8122628331184387,
1.6460609436035156,
-0.35498806834220886,
-0.5159564018249512,
-0.3666238784790039,
-0.3438052535057068,
-1.1223127841949463,
0.5792970061302185,
0.22256794571876526,
0.22863483428955078,
-0.3150130808353424,
0.4863995313644409,
-1.0382723808288574,
-0.04572712630033493... |
Q: In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No".
Text: Świetny sub. Długo wahałem się czy w ogóle kupować suba do monitorów Adam A7X ale postanowiłem spróbować i było warto. Ładnie reprodukuje niskie częstotliwości dobrze się uzupełnia z Adamami ale czasami sięgam do gałek "crossover" i "volume". Dość spora liczba ustawień więc każdy dopasuje sobie brzmienie. Za tę cenę genialny. (Używam AdamA7X i KRK 10S2 tylko do słuchania muzyki, nie tworzę muzyki i nie jestem profesjonalistą).
Question: Is the text a positive review?
A: | Yes | 7 | NIv2 | task635_allegro_reviews_answer_generation | zs_opt | [
-1.1922852993011475,
0.1720719188451767,
-0.2865152955055237,
0.30991995334625244,
-0.028267569839954376,
-1.0977206230163574,
1.0794450044631958,
-0.2561299204826355,
0.3447476029396057,
0.2857838273048401,
0.3249186873435974,
0.3701649308204651,
-0.3024056851863861,
0.10407865047454834,
... |
Detailed Instructions: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional information about the situation that might weaken or strengthen the hypothesis. A weakener is a statement that weakens the hypothesis. It makes you much less likely to believe the hypothesis is true. A strengthener is a statement that strengthens the hypothesis. It makes you much more likely to believe the hypothesis is true. Your task is to output 'strengthener' or 'weakener' if the update strengths or weakens the hypothesis, respectively.
Q: Premise: PersonX defends PersonX's country
Hypothesis: Before, PersonX needed to interact with someone
Update: PersonX felt attacked by the stranger.
A: | strengthener | 9 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.40961846709251404,
0.6532731056213379,
-0.1714409589767456,
-0.2686152458190918,
0.012246271595358849,
-1.2344342470169067,
1.7109968662261963,
0.9924099445343018,
0.34762537479400635,
-0.46217483282089233,
-1.0374934673309326,
-0.2876310348510742,
-0.9391528367996216,
-0.050458505749702... |
In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
চমতকার, এবং সাড়া জাগানো বই। | positive | 0 | NIv2 | task1497_bengali_book_reviews_sentiment_classification | zs_opt | [
-0.842530369758606,
-0.06895232200622559,
0.603430986404419,
-0.2744002342224121,
0.4533688426017761,
-0.019466642290353775,
0.8944288492202759,
-0.0026912486646324396,
0.0921216756105423,
-0.10977962613105774,
-1.0567128658294678,
-0.28491541743278503,
-0.42897742986679077,
-0.06538291275... |
Instructions: In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to "decompose the question"i.e. write the steps required to construct the given answer where each step is a question that can be answered using Wikipedia articles. To decompose the question, think of a decomposition strategy you could apply to answer the question through a search against Wikipedia. The decomposition strategy might not be obvious for some questions. For this reason, you are provided with additional information. You are not required to write decompositions that exactly match the provided facts, they are only meant as guidance. If the facts are too noisy, think about how you would have used Wikipedia to answer this question to create the decomposition. "not_definitive_answer" is true if there is no clear answer i.e. the question is ambiguous or a subjective opinion."incorrect_answer" is true if the answer to the question is not correct. If the answer is incorrect, write a decomposition that evaluates the correct answer. Each question should be easy to answer based on simple facts from Wikipedia pages, or a simple check using the answers to preceding questions. To ensure this, we also ask you to enter a potential Wikipedia article that would contain the answer to each question. If you can not think of a Wikipedia page that can answer your question, please think of a different strategy. You do not need to enter a Wikipedia page for steps that don't add new information and only contain simple checks. The answer to the final question is the same as the answer to the original question. Every question's answer has an impact on the final answer and there should be no redundant steps in the decomposition.
Input: Question: Does Family Guy take place on the American West Coast?, Answer:No, Description of Family Guy: American animated sitcom, Fact1: Family Guy takes place in the fictional town of Quahog, Rhode Island., Fact2: Rhode Island is a state on the American East Coast.
Output: | Step1: Where is Family Guy set?, Step2: Is #1 on the American West Coast?, Wikipedia page for step 1: Family Guy, Wikipedia page for step 2: , not_definitive_answer: False, incorrect_answer: False | 3 | NIv2 | task168_strategyqa_question_decomposition | zs_opt | [
0.6234875917434692,
-0.42021530866622925,
-0.14726735651493073,
-0.29795005917549133,
0.3787098228931427,
-0.49634817242622375,
0.8421447277069092,
0.6449429988861084,
-0.14307379722595215,
-0.10749775171279907,
-0.06258310377597809,
-0.09088524430990219,
-0.4763012230396271,
-0.0990929827... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
Let me give you an example: What does the dc in Washington DC stand for?
The answer to this example can be: District of Columbia
Here is why: Washington, DC, isn't a state; it's a district. DC stands for District of Columbia.
OK. solve this:
When was marlena possessed on days of our lives?
Answer: | 1995 | 8 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.21536119282245636,
0.8128663301467896,
-0.5856848359107971,
-0.42347079515457153,
-0.6553154587745667,
-0.5013414025306702,
1.1994974613189697,
0.3154970705509186,
0.2347956746816635,
-0.0005807609995827079,
-0.6022108793258667,
-0.0017078316304832697,
-0.5311774015426636,
-0.1227284818... |
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: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) 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.
Problem:Emily entered the sunroom. Logan entered the sunroom. The turnip is in the blue_crate. Logan exited the sunroom. Emily moved the turnip to the green_bucket. Where is the turnip really?
Solution: | green_bucket | 8 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
0.12035414576530457,
0.08393611758947372,
-0.05998114496469498,
-0.5474432706832886,
-0.8098568320274353,
-0.8856064081192017,
0.07245296239852905,
0.5321866273880005,
0.6418250799179077,
-0.8968330025672913,
0.3283047080039978,
0.717773973941803,
-0.3963250517845154,
0.014098954387009144,... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
--------
Question: «نامهات را بخوان؛ کافى است که امروز خودت حسابرس خود باشى.»
Answer: Read your ledger; this day you are sufficient to take your own account.
Question: و [آیا] اینکه فرزندان اسرائیل را بنده [خود] ساختهاى نعمتى است که منتش را بر من مىنهى؟»
Answer: But the favour you oblige me with is that you have enslaved the children of Israel."
Question: بگو: «منتظر باشید که من [نیز] با شما از منتظرانم.»
Answer: | Tell them: "Keep on expecting, I am expecting with you."
| 7 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.27305248379707336,
0.7203231453895569,
-0.5896387100219727,
-0.8935351371765137,
-0.6272608041763306,
-0.3956647515296936,
1.3353538513183594,
-0.3411010205745697,
0.6036256551742554,
-0.15276667475700378,
-0.45980197191238403,
0.6857878565788269,
-0.580269455909729,
0.5716789960861206,... |
Instructions: This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
Input: وأثمرت ضغوطهم، فوقفت الحكومات الغربية الواحدة تلو الأخرى خلف الرنمينبي بالرغم من قصوره العملي. ووصلت الرسالة إلى صندوق النقد الدولي، والآن أُصلِح الموقف. فقد أعلنت كريستين لاجارد، مديرة صندوق النقد الدولي دعمها الحار للتوصية المتعلقة بتوسيع سلة عملات حقوق السحب الخاصة، ومن المتوقع إصدار المجلس التنفيذي للصندوق قرار نهائي بهذا الشأن مع نهاية الشهر.
Output: | Fond je vyslyšel a rozhodnutí je na světě. Doporučení rozšířit koš SDR vřele podpořila generální ředitelka MMF Christine Lagardeová a na konci listopadu se očekává konečné rozhodnutí výkonného sboru. | 3 | NIv2 | task1374_newscomm_translation | zs_opt | [
0.14133742451667786,
0.4710630774497986,
-0.6564809083938599,
-0.3676818311214447,
-0.6025638580322266,
0.3251374363899231,
0.7179101705551147,
0.142480731010437,
0.2771838307380676,
-0.55781090259552,
-0.12761293351650238,
0.015354776754975319,
-0.9718611240386963,
0.3336747884750366,
-... |
TASK DEFINITION: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will want what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonY and others, respectively. For example, as a result of PersonX giving PersonY gifts, PersonY may want to open the gift. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
PROBLEM: Head: PersonX closes PersonY's mouth<sep>Tail: to fight PersonX
SOLUTION: Yes
PROBLEM: Head: PersonX finds ___ on facebook<sep>Tail: none
SOLUTION: Yes
PROBLEM: Head: PersonX obtains PersonY interview<sep>Tail: to accept compliments
SOLUTION: | Yes
| 8 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.9613790512084961,
-0.25391465425491333,
-0.0009772293269634247,
-0.4814794063568115,
-0.07164505124092102,
-0.39985114336013794,
1.4671043157577515,
0.49277567863464355,
-0.7989139556884766,
-0.1392359733581543,
-0.3076407313346863,
-0.49467185139656067,
-0.6069186925888062,
0.3484530150... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
2, ['s', '2361', 'M', 'h', '1067', 'W', '9695'] | s, 2361 | 0 | NIv2 | task063_first_i_elements | zs_opt | [
-0.45673441886901855,
0.5795820951461792,
0.10721084475517273,
-0.5384088158607483,
-0.7120784521102905,
-0.3219200074672699,
0.05096745491027832,
0.14309415221214294,
0.09470639377832413,
-0.3447699248790741,
-1.4173425436019897,
-0.24388433992862701,
0.16550210118293762,
-0.6496098041534... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Q: Allora otto anni fa, un'osservazione molto semplice e profonda ha cambiato il mio parere.
A: | Então, há cerca de oito anos, uma observação muito simples e profunda mudou a minha forma de pensar. | 4 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-0.16455823183059692,
0.6325550079345703,
-0.5439958572387695,
-0.1883874237537384,
0.09782528877258301,
-1.9278008937835693,
-0.8600188493728638,
1.149653673171997,
0.4216482937335968,
-0.20872452855110168,
0.13233155012130737,
-0.5555024743080139,
-0.2238801121711731,
-0.2349853813648224... |
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
[EX Q]: ‘উজ্জ্বলা যোজনা’র মাধ্যমে প্রায় ৪ কোটি গ্রামীণ মহিলা রান্নার গ্যাস সংযোগ পেয়েছেন।
[EX A]: இதுவரையிலும் உஜ்வாலா திட்டத்தின் மூலம் கிராமப்புறங்களில் ஏறத்தாழ 4 கோடி மகளிர், சமையல் எரிவாயு இணைப்பைப் பெற்றுள்ளனர்.
[EX Q]: ২০১৮-তে সাধারণতন্ত্র দিবস উদযাপনের অঙ্গ হিসাবে ২৬ থেকে ৩১ জানুয়ারি ‘ভারত পর্ব’ অনুষ্ঠানের আয়োজন করা হয়েছিল।
[EX A]: புனித தளங்கள் புனரமைப்பு மற்றும் ஆன்மீக, பாரம்பரிய தளங்கள் விரிவாக்க இயக்கத் திட்டத்தின் (பிரஷாத்) கீழ் தேர்ந்தெடுக்கப்பட்ட புனித தலங்களில் ஒருங்கிணைந்த மேம்பாட்டு பணிகள் மேற்கொள்ளப்படுகின்றன.
[EX Q]: নয়াদিল্লি, ০৫ জুন, ২০১৯
[EX A]: | நிதி அமைச்சகம்
| 6 | NIv2 | task981_pib_translation_bengali_tamil | fs_opt | [
-0.4230012893676758,
0.729404866695404,
-0.05345562472939491,
-0.22098475694656372,
-0.7182469367980957,
-1.321692705154419,
0.8089275360107422,
0.20493623614311218,
-0.382979154586792,
0.19647923111915588,
-0.4913296401500702,
0.22733870148658752,
0.33090725541114807,
-0.0888274759054184,... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as taboo in polite usage.
Comment: Useless sanction. China will support them behind the scene. | Non-obscene | 0 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.5629029273986816,
0.48527079820632935,
0.3663654923439026,
-0.05450177192687988,
0.19790059328079224,
-0.06150561198592186,
0.42311573028564453,
0.6106526851654053,
0.49960291385650635,
0.6218383312225342,
-0.28562629222869873,
0.20128697156906128,
0.05981599912047386,
-0.60767406225204... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
OK? 1, 2,3, start!
حسنا ؟ واحد ، اثنان ، ثلاثة ، ابدؤوا.
Film wyświetla się w pełnym powiększeniu.
والفيلم يظهر في اطار كامل.
Co by było, gdybym wiele lat temu opowiedziała jej moją historię?
| ماذا لو أخبرتها بقصتي قبل سنوات ؟
| 0 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.18141485750675201,
0.7865886092185974,
-0.6365118622779846,
-0.470147043466568,
-0.38612112402915955,
0.4532411992549896,
1.360967755317688,
0.06585925817489624,
-0.07182425260543823,
-0.4001542925834656,
-0.7021651864051819,
-0.048664823174476624,
-0.6340816020965576,
0.013288838788866... |
Instructions: In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
Input: [521, 11, 871, 383, 941, 101, 964, 601, 665, 745]
Output: | [521, 11, 383, 941, 101, 601] | 3 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.4309622645378113,
0.11308611929416656,
-0.2965901792049408,
-0.3358300030231476,
-0.3302275240421295,
0.08538277447223663,
0.28636103868484497,
0.6841204762458801,
-0.2715047597885132,
0.2709031403064728,
-1.3218920230865479,
-0.5746503472328186,
-0.3866788148880005,
-0.4690279364585876... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences from the story to compose your answer when possible. For the sentence describing the result, you must use the verb feel(s).
story: Kate was cooking dinner. Her husband got home from work. He tried to sneak up and hug her. Kate had a knife in her hand and stabbed him by accident. She had to call 911 for help.
selected sentence: Kate had a knife in her hand and stabbed him by accident.
Output: | Kate stabs her husband >Causes> Kate's husband feel(s) pain | 1 | NIv2 | task749_glucose_reverse_cause_emotion_detection | zs_opt | [
-0.4981437921524048,
0.5730433464050293,
-0.1346670538187027,
-0.010719811543822289,
-0.01660279929637909,
-0.49417588114738464,
0.7289074659347534,
0.6565927267074585,
-0.24816806614398956,
0.3945102393627167,
-0.15544751286506653,
0.39466938376426697,
-0.371880441904068,
-0.1535650640726... |
Detailed Instructions: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Q: I ordered this bed in an emergency situation for my 95 year old mother to sleep on. The bed was easy to fill and evacuate, but it has a slow leak that necessitates adding air to it every day. I couldn't send it back because I would have had nothing for my mother to sleep on.
A: | Negative | 9 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.1123826652765274,
-0.5309880375862122,
-0.20742377638816833,
-0.8077239394187927,
0.24805213510990143,
-0.6552174091339111,
0.15278297662734985,
0.8882580399513245,
0.026578150689601898,
0.7941092252731323,
-0.12163285911083221,
-0.0652373805642128,
-0.8104297518730164,
-0.1664697229862... |
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.
Sentence 1: Two young men take a break and have some fries and other snacks. Sentence 2: They are also eating sandwiches.
The men are hungry.
Sentence 1: A boy is attempting to climb an iron fence. Sentence 2: A curious boy is trying to escape from the confines of his school's playground.
A boy is in this photograph.
Sentence 1: A food cart is operated near an outdoor seating area. Sentence 2: A food cart is selling hot dogs in the park.
| A food cart being operated.
| 0 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.6930729746818542,
1.0106513500213623,
0.19966191053390503,
-0.9055518507957458,
-0.6723843216896057,
0.15778908133506775,
-0.1784960776567459,
0.8061253428459167,
0.33581164479255676,
-0.7384591102600098,
-0.9698344469070435,
-0.9514790773391724,
-0.7277595400810242,
0.07636827230453491... |
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Several hockey players leave a group, skating across the ice. they <sep> (A) capture a man skiing on the adjacent slope. (B) begin playing, shooting the puck back and forth, trying to get it to go into the enemy's goal. (C) take criss cross bows before sitting down on the rink. (D) hook up, talking and joking. | B | 0 | NIv2 | task1389_hellaswag_completion | zs_opt | [
0.2629016637802124,
1.042203426361084,
-0.932299017906189,
-0.19059282541275024,
-0.17611238360404968,
-0.32558709383010864,
0.7126014828681946,
0.23256108164787292,
1.037278175354004,
-0.13607148826122284,
-0.1658669412136078,
0.28405535221099854,
0.46088501811027527,
-0.4296252131462097,... |
Detailed Instructions: The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Problem:ఎలా మీరు?
Solution: | How are you? | 8 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
-0.07948967069387436,
1.3880020380020142,
0.4487510919570923,
0.2729404866695404,
0.36837372183799744,
-0.752836287021637,
0.6020713448524475,
0.30202603340148926,
0.10884497314691544,
-0.027657095342874527,
-0.09936802089214325,
0.6256722211837769,
-0.8314895629882812,
-0.0569844841957092... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
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 not been in the store.
Solution: Tom had gone inside the store and now has fruit.
Explanation: Tom must have been inside the store to come out, and have fruit, so the altered sentence aggrees with sentence 1.
Problem: Sentence 1: A climber is sillhouetted against the sky and rocks as he hangs by a rope from another rock. Sentence 2: Climber climbing
Solution: | A person is rock climbing. | 4 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.17751649022102356,
0.9510958790779114,
0.34888458251953125,
-0.5748997330665588,
0.08371081948280334,
-0.46676695346832275,
-0.08455582708120346,
0.33079206943511963,
0.2582848072052002,
-0.33656740188598633,
-0.6193128824234009,
-0.30307966470718384,
-0.8994959592819214,
0.096232309937... |
Part 1. Definition
In this task, you will be shown a passage in Persian. You need to write a question in Persian for the passage. Your question should be answerable based on the passage and only have one correct answer.
Part 2. Example
آب و هوای مناسب برای رشد گندم شرایط ایدهآل برای رشد گندم ، آب و هوای خنک در دوره رشد رویشی ، آب و هوای معتدل در دوران تشکیل دانه و آب و هوای گرم و خشک در زمان برداشت محصول میباشد. بنابراین در مناطقی که زمستانهای سخت دارند، کشت گندم با مشکلاتی از قبیل سرمازدگی زمستانی مواجه میشود. البته باید بدانیم که گندم در برابر خشکی مقاومت چندانی ندارد و نمیتواند به مدت طولانی ، خشکی و کم آبی را تحمل نماید. اما قادر است خود را با شرایط خشک تا حدی تطبیق داده و با تشکیل یاختههای کوچکتر که در نهایت سبب تشکیل برگهای کوچک شده و در نتیجه روزنهها کوچکتر میشود، سطح تعریق را کاهش دهد و از اثرات سوء کم آبی تا حدی محفوظ بماند.
Answer: چه آب و هوایی برای رشد گندم خوب است؟
Explanation: This is a good example. Based on the passage, you can answer this question.
Part 3. Exercise
هرچه زندگی پیش پای شما بگذارد؛ از مرگ و بیماری تا مشکلات کاری یا تلخوشیرینهای رابطه، مهم این است که در همهحال امیدوار باشیم. امیدواری به ما کمک میکند تا به هدفهایمان برسیم، آرام باشیم و شاد بمانیم و شاید حتی کمک کند شفا پیدا کنیم.
Answer: | چرا باید در زندگی امید داشته باشیم؟ | 7 | NIv2 | task468_parsinlu_rc_question_generation | fs_opt | [
0.36262747645378113,
1.0390912294387817,
-0.6217981576919556,
-0.22887930274009705,
-0.43490391969680786,
-0.6772769093513489,
0.2070680856704712,
0.9033735990524292,
0.12708288431167603,
0.1740606129169464,
-1.0584940910339355,
0.19846218824386597,
-0.8988615274429321,
0.44124776124954224... |
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anything else apart from one of the following characters: "A", "B", "C", "D". There is only one correct answer for each question.
Input: Consider Input: Article: The television news feature about Ben Heckmann, an eighth grader from Farmington, Minn, was breathless in its praise. "At 14, he has accomplished something many adults can't achieve," the reporter said, "Ben is a twice-published author." But Ben's two "Velvet Black" books, describing a fictional rock band, were not picked from a pile of manuscripts by an eagle eyed publisher. They were self-published, at the cost of $400 by Ben's parents. Over the past five years, print-on-demand technology and a growing number of self publishing companies whose books can be sold online have inspired writers of all ages to avoid the traditional gatekeeping system for determining who could call himself a "published author." The mothers and fathers who foot the bill say they are simply trying to encourage their children, in the same way that other parents buy equipment for a promising baseball player. But others see self-publishing as a lost opportunity to teach children about hardship and perseverance. Mr. Robbins, a critic, thinks it is wonderful to start writing at a young age, but worries self-publishing sends the wrong message. "There are no prodigies in literature," he said. "Literature requires experience, in a way that mathematics and music do not." Alan Rinzler, a publishing industry veteran, suggested parents hire a professional editor like him to work with their child to tear a manuscript apart and help make a better. Ben's father, Ken, said Ben's ambitions "weren't to knockHarry Potteroff the list," but "to get that good feeling inside that you've done something." Ajla Dizdarevic, 12, who has self-published two books of poetry, has been on television and in local newspapers. "Being a published author," she said, "was always a dream of mine." Her new dream: three books by age 15.
Question: Which of the following is true of Ben?
Options: (A) He has achieved something unusual for his age. (B) His self-published books were well received. (C) His manuscripts were favored by the publisher. (D) He was thought little of by the public media.
Output: A
Input: Consider Input: Article: Signs in Chinese will be set up in public areas such as airports, to benefit Chinese travelers, the Italian Government announced in late February. _ . Despite the different languages, travel across Europe has never been so simple. Just five years ago, if you wanted to visit Germany in the north and Spain in the south in one trip, you had to wait for weeks to apply for different visas from the two countries. You also needed a calculator because both countries had different money. Today, with a Schengen Visa issued by any member country, you can travel across 15 European countries without stopping. Since 2002, within most of the EU, there is now just one type of money called the Euro. The Euro was designed to be the only money in the EU, and already makes it easier to shop around. If you drive, your driving license and car insurance policy are valid in the other European countries. And you can use your mobile phone everywhere. All the countries in the continent are melting into a united Europe under the EU. For Europeans and visitors, the result is that it is more convenient to travel back and forth between the different countries.
Question: Compared to five years ago, traveling in Europe has become easier because _ .
Options: (A) you needn't drive a car (B) you can use a calculator to exchange money (C) applying for different visas is much simpler (D) one visa is good enough for traveling in a number of countries
Output: D
Input: Consider Input: Article: "The Boxtrolls" From Laika Entertainment, the animation house behind "Coraline" and "ParaNorman" comes, "The Boxtrolls," adapted from the children's book "Here Be Monsters!" by Alan Snow. The movie, about a boy who is raised by unusual creatures, features the voices of Ben Kingsley, Simon Pegg and Elle Fanning. Opens Sept. 26. Area theatres. "Awake and Sing!" Olney presents the 1935 comic drama by Clifford Odets about a Brooklyn family struggling through the Great Depression. Step. 24 through Oct. 19. Olney Theatre Center, 2001 Olney-Sandy Spring Rd., Olney. 301-924-3400.www.olneytheatre.org. $38.50-63.50. Fiesta DC Celebrate the city's Latino culture with a parade, dance, music and more. Sept. 21. Parade: 10 a.m. to 1 p.m. Constitution Avenue from Seventh Street NW to 14thStreet NW. Festival: Noon to 7 p.m. Pennsylvania Avenue, between Ninth and 14thstreets NW. 202-489-7141.www.fiestadc. org. "On Paper: Alternate Realities" The 26 pieces by American artists, including Raymond Pettibon and lona Rozeal Brown, take inspiration from popular culture, using art to explore dark themes. Through April 12. Baltimore Museum of Art, 10 Art Museum Dr., Baltimore. 443-573-17000. www. artma. org. "Untitled: The Art of James Castle" A self-taught artist from rural Idaho, Castle used whatever was available-newspaper, coal, sticks-to create buildings, landscapes, people and more. Sept.26 through Feb.1. American Art Museum, Eighth and F streets NW. 202-633-1000. www. americanart. si. edu. Neo-impressionism at the Phillips "Neo-impressionism and the Dream of Realities: Painting, Poetry, Music" displays works by artists such as Georges Seurat, who presented stylized landscapes and people. Sept. 27 through Jan. 11. Phillips Collection, 1600 21stSt. NW. 202-387-2151. www. phillipscollection. org. $ 12; $ 10 for students and senitors; free for age 18 and younger. "Driving Miss Daisy" Ford's Theatre starts its season with the Pulitzer Prize winner about the decades-long relationship between an aging woman and her black driver in Atlanta. Washington stage actors Nancy Robinette and Craig Wallace perform in this beloved classic. Sept. 26 through Oct. 26. Ford's Theatre, 511 10thSt. NW. 202-347-4833. www. fordstheatre. org. $20-$62.
Question: Which of the following may attract kids most?
Options: (A) "The Boxtrolls." (B) "Awake and Sing!" (C) "Driving Miss Daisy." (D) "On Paper: Alternate Realities."
| Output: A
| 2 | NIv2 | task309_race_answer_generation | fs_opt | [
0.24955719709396362,
0.2761301100254059,
0.1631523072719574,
0.14095035195350647,
0.768006443977356,
0.6955443620681763,
1.02590012550354,
0.9287291765213013,
-0.09375008940696716,
-0.244733527302742,
-0.16127990186214447,
0.7971672415733337,
-0.11958696693181992,
-0.08897429704666138,
-... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
while going camping the jacket could not fit into the backpack because the _ was too small. (A) jacket (B) backpack
Output: | B | 1 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
-0.020835112780332565,
0.6629478335380554,
-0.2736011743545532,
0.155595064163208,
-0.3122362196445465,
-0.5676462650299072,
0.8548456430435181,
1.1821997165679932,
-0.11015672981739044,
0.009440997615456581,
-0.02736845053732395,
0.042154744267463684,
0.6142439842224121,
-0.88872051239013... |
Detailed Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Q: Person1: Oh , hi Pam . When did you get back from Canada ? How was it ?
Person2: The day before yesterday . I only visited Montreal and Ottawa , but I had a great time .
Person1: Which city did you like better ?
Person2: That's hard to say ... I think Ottawa is prettier.It has better sightseeing , too . A lot of museums and galleries .
Person1: And what's Montreal like ? What did you think of it ?
Person2: Montreal is more exciting . It has better shopping.The stores are cheaper and more interesting .
Person1: Which one has better nightlife ?
Person2: Oh , Montreal of sure . It has more restaurants and clubs.They say Montreal is the most exciting city in Canada .
Person1: Well , I've always wanted to see Vancouver . I've heard it has the most beautiful views .
A: | 0 | 9 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
0.3080136775970459,
-0.07528497278690338,
0.043375156819820404,
-0.4912840723991394,
0.6333305239677429,
-0.2199384868144989,
0.5225815773010254,
0.42719966173171997,
0.4715770184993744,
0.45745986700057983,
-0.2831614911556244,
0.00011001434177160263,
-0.19369733333587646,
-0.170647099614... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor 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.
Example Input: Sentence 1: Friends enjoying a beautiful day on campus. Sentence 2: Friends are standing outside in the rain.
Example Output: College students are lounging in a grassy field with college buildings in the background.
Example Input: Sentence 1: Five children are making art with blue and pink construction paper. Sentence 2: The adults write letters to their loved ones.
Example Output: The children combine their efforts to create a house from paper.
Example Input: Sentence 1: A female in a black bikini splashes in the water. Sentence 2: A female is not near any water.
Example Output: | A female splashes a friend with water.
| 3 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
-0.7175175547599792,
0.7673856616020203,
0.4704113304615021,
-0.8286160230636597,
0.017081910744309425,
-0.7194651961326599,
-0.24112257361412048,
1.0389331579208374,
0.3216904401779175,
-0.2982262372970581,
-0.9928237199783325,
-0.716686487197876,
-0.26626908779144287,
-0.3446668088436126... |
Detailed Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Q: Category: UNITS OF MEASURE
Clue: Both the ounce & this unit of measure get their names from the Latin uncia, "twelfth part"
A: | the inch | 9 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.44357171654701233,
1.0552153587341309,
-0.7995396852493286,
-0.1656513661146164,
-0.014120343141257763,
-0.7250195741653442,
0.37222278118133545,
-0.004655985161662102,
0.16911345720291138,
-0.2848261892795563,
-0.2789810597896576,
0.17625419795513153,
-0.43620166182518005,
0.0462670922... |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Let me give you an example: Statement: Next to the MGM Grand you will find M and M World, four stories of merchandise and memorabilia dedicated to the candy that doesn't melt in your hand. Choices: 1. The candy has many fans who love its attractions. 2. There's four stories of memorabilia dedicated to a candy. 3. That particular candy melts and becomes difficult to eat.
The answer to this example can be: 3
Here is why: It is said in the statement that the candy doesn't melt in your hand, but the sentence in choice 3 disagrees with it.
OK. solve this:
Statement: DiClemente reported that most of the people who got the longer intervention in his study remembered the interventionist at the two-week follow-up, so there was some recall. Choices: 1. Even people who leave an intervention can still remember who their interventionist was. 2. Almost everyone forgot who conducted their intervention just minutes after leaving the room. 3. Interventionists wear fully wigs so that they can be more memorable.
Answer: | 2 | 8 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
0.6801407933235168,
0.29127663373947144,
-0.11138179898262024,
-0.17443710565567017,
0.1611255705356598,
-0.8857970237731934,
-0.3063652813434601,
0.6635634899139404,
0.13089892268180847,
0.08490118384361267,
-0.1891331672668457,
-0.0019359217258170247,
-0.21268606185913086,
-0.45449247956... |
Definition: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Input: Command: eq { count { filter_eq { all_rows ; county ; putnam } } ; 4 }, interpretation: select the rows whose county record fuzzily matches to putnam . the number of such rows is 4 .
Output: | yes | 2 | NIv2 | task211_logic2text_classification | zs_opt | [
0.04056168347597122,
-0.1819743812084198,
-0.14038805663585663,
0.20188438892364502,
0.30812573432922363,
-0.5241416096687317,
-0.09666892886161804,
0.656702995300293,
0.24272623658180237,
-0.1959422528743744,
-0.030916035175323486,
0.07507125288248062,
0.16960802674293518,
0.3686844110488... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Example input: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
Example output: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É coma unha película. Ten cor. Ten movemento.
Example explanation: The Hebrew sentence is correctly translated into Galician, because the meaning is preserved.
Q: ובאותו רגע חשתם מאוחדים עם היקום, מאוחדים עם כד המים הזה, מאוחדים עם כל האדם, מאוחדים עם הבורא, וחשתם בנוכחות הכוח, היראה, של האהבה ותחושת החמלה והרחמים העמוקות ביותר שאי-פעם חשתם בחייכם.
A: | E durante ese minuto sentíronse un co Universo, un con esa xerra de auga, un con cada ser humano. ™ Un co creador, e sentíronse en presenza do poder, do asombro, do máis profundo amor, a máis profunda compaixón e misericordia que experimentaran nas súas vidas. | 3 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.21840320527553558,
0.7383463382720947,
0.15892058610916138,
-0.6930262446403503,
-0.2967142164707184,
-1.2941172122955322,
0.49986732006073,
0.6307716965675354,
-0.8926121592521667,
-0.40254199504852295,
0.1503230184316635,
-0.0920097827911377,
-0.8903441429138184,
-0.2549078166484833,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Sposoby rekultywacji nazbyt eksploatowanych pól, tak by po dwóch latach znów dawały plony.
דרכים לשיקום אדמות חקלאיות שנפגעו עקב ניצול יתר כך שתוך שנתיים הן תוכלנה להיות שוב פוריות.
Ale przyszłość jest jeszcze jaśniejsza.
אבל העתיד הוא למעשה אפילו הרבה יותר בהיר.
Wiedziałem, że będziemy górą z Oddziałami Lewiatana.
| היה ברור לי שנכסח להם את הצורה במלחמה עם כוח הליוויתן,
| 0 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-1.3250892162322998,
0.5424157381057739,
0.029253486543893814,
0.5943173766136169,
-0.7448548078536987,
-0.021364375948905945,
1.138197660446167,
0.11637751013040543,
0.12142723798751831,
-0.734470546245575,
-1.1627919673919678,
0.5763846635818481,
-0.7761039733886719,
0.4573182761669159,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Q: Isto facía, apuntalaba a cama porque non funcionaba.
A: | זה מה שהוא עשה, סידר את המיטה למעלה מכיוון שהמיטה עצמה לא עבדה. | 4 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
0.1280810832977295,
1.198760986328125,
-0.32319438457489014,
-0.6237422227859497,
-0.22068890929222107,
-0.4391845464706421,
0.6220693588256836,
0.5907449126243591,
-0.3122682571411133,
-0.14587727189064026,
-0.5864775776863098,
0.6100325584411621,
-1.4237205982208252,
-0.1386830061674118,... |
Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns whether there is exactly one row in the view
3. hop: returns the value under the header column of the row
4. and: returns the boolean operation result of two arguments
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column
6. nth max/nth min: returns the n-th max/n-th min of the values under the header column
7. argmax/argmin: returns the row with the max/min value in header column
8. nth argmax/nth argmin: returns the row with the n-th max/min value in header column
9. eq/not eq: returns if the two arguments are equal
10. round eq: returns if the two arguments are roughly equal under certain tolerance
11. greater/less: returns if argument 1 is greater/less than argument 2
12. diff: returns the difference between two arguments
13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3
14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3
15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3
16. filter all: returns the view itself for the case of describing the whole table
17. all eq/not eq: returns whether all the values under the header column are equal/not equal to argument 3
18. all greater/less: returns whether all the values under the header column are greater/less than argument 3
19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3
20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3
21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3
22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3
Input: and { only { filter_eq { all_rows ; original air date ( uk ) ; july } } ; eq { hop { filter_eq { all_rows ; original air date ( uk ) ; july } ; episode title } ; night games } } = true
Output: | select the rows whose original air date uk record fuzzily matches to july . there is only one such row in the table . the episode title record of this unqiue row is night games . | 3 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.09445846080780029,
0.07351037859916687,
-0.45263493061065674,
0.17837108671665192,
-0.1038099080324173,
-0.43200114369392395,
0.7212148308753967,
0.42273688316345215,
-0.15397024154663086,
-0.3521418571472168,
-0.41775548458099365,
0.09486902505159378,
-0.12176527827978134,
0.35988342761... |
Teacher:In this task you are given a premise and two alternatives in Thai. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Teacher: Now, understand the problem? Solve this instance: รถค่อยๆ ชะลอลงจนหยุด
(1)รถน้ำมันหมด(2)คนขับหลับใน
Student: | 1 | 6 | NIv2 | task1178_xcopa_commonsense_reasoning_th | zs_opt | [
-1.129361867904663,
-0.11889214813709259,
0.40229496359825134,
-0.4758734107017517,
-0.5201256275177002,
-0.3834562301635742,
0.4967578649520874,
1.379798173904419,
0.2700395882129669,
0.1539803445339203,
-0.4752926230430603,
0.04195387661457062,
0.236739844083786,
-0.04422784596681595,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Example: Sentence 1: Next to the MGM Grand you will find M and M World. Sentence 2: The candy has many fans who love its attractions.
Output: no
It is not clear that M and M world is popular.
New input case for you: Sentence 1: uh i never really thought of in that way Sentence 2: I've not seen it approached in that way.
Output: | no | 1 | NIv2 | task199_mnli_classification | fs_opt | [
-0.634883463382721,
0.6173624992370605,
0.4065202474594116,
0.009880626574158669,
0.35597288608551025,
-0.30044060945510864,
-0.23825284838676453,
0.6783804893493652,
0.4825112819671631,
-0.2053036093711853,
-0.2310832142829895,
-0.9698039293289185,
0.27186119556427,
-0.2817957103252411,
... |
Given a sentence in French, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Let me give you an example: La saison NBA 1975 - 76 était la 30e saison de la National Basketball Association.
The answer to this example can be: La temporada 1975 - 76 de la Asociación Nacional de Baloncesto fue la temporada 30 de la NBA.
Here is why: This is a correct and accurate translation from French to Spanish because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.
OK. solve this:
Previous editors include Michel Foucault , Emmanuel Le Roy Ladurie , Georges Dumézil , François Jacob , Jacques Le Goff , François Furet and Raymond Aron .
Answer: | Los editores anteriores incluyen a Raymond Aron, Georges Dumezil, Francois Jacob, Michel Foucault, Emanuel Roy Ladurie, Francois Furet y Jacques Le Goff. | 8 | NIv2 | task791_pawsx_french_spanish_translation | fs_opt | [
0.02751070261001587,
-0.45224127173423767,
-0.1967637836933136,
0.23456820845603943,
0.45003706216812134,
-0.6855813264846802,
0.5892043113708496,
0.4799370765686035,
-0.1267545521259308,
0.29396969079971313,
-0.39115309715270996,
0.9183878898620605,
-0.8829166889190674,
-0.421479791402816... |
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.
Q: [13, 95, 60, -36, 47, -8, 73, 50, 44, 82]
A: 131
****
Q: [24, -21, 61, 23, 94]
A: 115
****
Q: [23, 80, -89, -42, -16]
A: | 169
****
| 4 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.2759517431259155,
0.45027995109558105,
0.159656822681427,
-0.39197131991386414,
-0.47657912969589233,
0.23960760235786438,
0.5578607320785522,
0.16268864274024963,
0.4961371421813965,
-0.15959963202476501,
-0.22682438790798187,
-0.0840931087732315,
-0.6357747316360474,
0.041465207934379... |
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Tweet: @JesHamer sweet -- it IS Monday after all Question: is it a negative tweet? | no | 0 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-1.5166559219360352,
-0.16790644824504852,
0.2585940957069397,
0.6629364490509033,
-0.16002506017684937,
-1.2206978797912598,
-0.06356967985630035,
0.0655282661318779,
0.2880104184150696,
0.5752899050712585,
-0.1348724663257599,
0.10915129631757736,
-0.16807252168655396,
-0.269131124019622... |
instruction:
In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the context or linked information.
question:
Context: In September 2018, the Danish Football Association and players' union were scheduled to sign a new national team agreement for the players of the Denmark national team prior to a friendly against Slovakia Link Information: none Answer: none
answer:
How many championships were won by the team Denmark national team played a friendly against prior to being scheduled to sign a new national team agreement?
question:
Context: Sharpless 264, also known as the Lambda Orionis Ring, is a molecular cloud and H II region, which can be seen in the northern region of the Orion Molecular Cloud Complex (OMCC), in the constellation of Orion. Link Information: none Answer: none
answer:
What are the names of the brightest two stars in the constellation that contains Sharpless 264?
question:
Context: Arn Anderson would also make fun of Morton, calling him "Punky Morton," which was a play on the popular 1980s sitcom Link Information: none Answer: none
answer:
| In which city was the first match between Morton and the group whose member gave him a nickname based off of an 80s sitcom?
| 9 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
0.470184862613678,
0.7854138016700745,
-0.6657916307449341,
-0.7532603740692139,
-0.10903875529766083,
-0.27211931347846985,
0.2531586289405823,
-0.3113756775856018,
-0.03888406977057457,
-0.13417866826057434,
-0.6323916912078857,
0.16924923658370972,
-1.0012550354003906,
0.143448844552040... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
لذا ، دعونا نرى. | Así que vexamos. | 0 | NIv2 | task1105_ted_translation_ar_gl | zs_opt | [
-0.7790592312812805,
0.6680511236190796,
0.3086872100830078,
-1.2076096534729004,
-0.19748786091804504,
0.415927529335022,
0.3016946315765381,
-0.03815307468175888,
0.31347501277923584,
0.7084174156188965,
-0.19795075058937073,
0.009878437966108322,
-0.44934025406837463,
0.6501460075378418... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence and a question, you would be asked to create the answer which is contained in the sentence provided.
Example: Sentence: Having white fur trait would a cat most likely inherit from its parents. Question: Which trait would a cat most likely inherit from its parents?
Output: having white fur
The given output is correct as the answer provided is from the scientific fact stated
New input case for you: Sentence: Sediments in oligotrophic lakes contain large amounts of decomposable organic matter. Question: Sediments in oligotrophic lakes contain large amounts of what?
Output: | decomposable organic matter | 1 | NIv2 | task1555_scitail_answer_generation | fs_opt | [
-0.6551352143287659,
0.6821067333221436,
-0.9183377027511597,
-0.20619560778141022,
-0.3618268370628357,
-0.30243051052093506,
-0.646437406539917,
1.102856159210205,
0.11694304645061493,
-0.0772133469581604,
-0.0376925952732563,
0.21274235844612122,
-0.29209065437316895,
-0.053241278976202... |
Detailed Instructions: 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.
See one example below:
Problem: Paragraph- Sent 1: Obama was born on August 4, 1961, at Kapiʻolani Maternity & Gynecological Hospital in Honolulu, Hawaii.
Sent 2: He is the only President to have been born in Hawaii.
Sent 3: He was born to a white mother and a black father.
Sent 4: His mother, Ann Dunham (1942-1995), was born in Wichita, Kansas, of mostly English descent, with some German, Irish, Scottish, Swiss, and Welsh ancestry. Question: How old was Obama's mother when he was born? (A) teenager (B) in his 40s (C) mid 20s (D) almost twenty.
Solution: D.
Explanation: Obama was born in 1961. His mother was born in 1942 and 1961-1942=19. Therefore, "almost twenty" answers the question sufficiently.
Problem: Paragraph- Sent 1: "Femme" is an apt description of the depiction of Madame White Snake and all her incarnations.
Sent 2: It refers to a woman who is dangerously attractive, and lures men to their downfall with her sexual attractiveness.
Sent 3: In both incarnations of Madame White snake, the authors depict her as bewitchingly beautiful.
Sent 4: Toyoo, her human lover in "Lust of the White Serpant" cannot shake the image of her beauty from his mind and dreams of her, and finds himself "disturbed and agitated" by her "ethereal beauty".
Sent 5: In "Eternal Prisoner," Madame White Snake's bewitching beauty follows her lover Hsü into his dreams, and the next morning "he was so distracted that he could not concentrate on doing business." Both of these stories align negative connotations with her beauty, suggesting that her sexuality is the cause of their distraction.
Sent 6: In addition to distracting sexuality, the irregular characterization of Madame White Snake might be another trait her character has in common with the archetypical noir femme fatale.
Sent 7: In her essay analyzing the noir film from a feminist perspective, Christine Gledhill writes "Not only is the hero frequently not sure whether the woman is honest or a deceiver, but the heroine's characterisation is itself fractured so that it is not evident to the audience whether she fills the [femme fatale] stereotype or not".
Question: What works are about Madame White Snake? (A) Lust of the White Serpant and Eternal Prisoner (B) Lust of the White Serpent, and Eternal Prisoner (C) Femme and Eternal Prisoner (D) Eternal Prisoner's Lust (E) White Snake (F) Works with , "Serpent", and, "Prisoner", in their names.
Solution: | A, B, F. | 4 | NIv2 | task058_multirc_question_answering | fs_opt | [
0.7749711275100708,
0.10434265434741974,
-0.6133109331130981,
-0.13069018721580505,
0.4791511297225952,
-0.23305660486221313,
0.459930419921875,
1.0886578559875488,
0.8299070596694946,
0.5543878078460693,
-0.28822243213653564,
0.3430514335632324,
-0.7611483335494995,
-0.33312034606933594,
... |
Detailed Instructions: In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be several correct answers, you need to write one of them.
See one example below:
Problem: Acute pain was observed after taking MTX
Solution: MTX
Explanation: MTX is a medicine which has been mentioned here, and hence the name should be tagged.
Problem: CONCLUSIONS: Clinicians should be aware that Crohn's disease is a potential novel adverse drug effect of Copaxone.
Solution: | Copaxone | 4 | NIv2 | task1447_drug_extraction_ade | fs_opt | [
0.5152517557144165,
0.06503117084503174,
-0.4993543326854706,
-1.024158000946045,
-0.31618812680244446,
-1.2087798118591309,
1.289952278137207,
0.13642360270023346,
0.6679157018661499,
-0.7907322645187378,
-0.7064813375473022,
-0.29751574993133545,
-0.777785062789917,
0.08247548341751099,
... |
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
[EX Q]: Globally, there are a number of emerging pathogens. For most, there are no licensed vaccines available for human use, although there is ongoing research and development. However, given the extensive and increasing list of emerging pathogens and the investment required to bring vaccines into clinical use, the task is huge. Overlaid on this task is the risk of anti-microbial resistance (AMR) acquisition by micro-organisms which can endow a relatively harmless organism with pathogenic potential. Furthermore, climate change also introduces a challenge by causing some of the insect vectors and environmental conditions prevalent in tropical regions to begin to spread out from these traditional areas, thus increasing the risk of migration of zoonotic disease. Vaccination provides a defence against these emerging pathogens. However, vaccines for pathogens which cause severe, but occasional, disease outbreaks in endemic pockets have suffered from a lack of commercial incentive for development to a clinical standard, encompassing Phase III clinical trials for efficacy. An alternative is to develop such vaccines to request US Emergency Use Authorization (EUA), or equivalent status in the United States, Canada and the European Union, making use of a considerable number of regulatory mechanisms that are available prior to licensing. This review covers the status of vaccine development for some of the emerging pathogens, the hurdles that need to be overcome to achieve EUA or an equivalent regional or national status and how these considerations may impact vaccine development for the future, such that a more comprehensive stockpile of promising vaccines can be achieved.
[EX A]: Vaccines for emerging pathogens: prospects for licensure
[EX Q]: Motivation: Deep sequencing of clinical samples is now an established tool for the detection of infectious pathogens, with direct medical applications. The large amount of data generated produces an opportunity to detect species even at very low levels, provided that computational tools can effectively profile the relevant metagenomic communities. Data interpretation is complicated by the fact that short sequencing reads can match multiple organisms and by the lack of completeness of existing databases, in particular for viral pathogens. Here we present metaMix, a Bayesian mixture model framework for resolving complex metagenomic mixtures. We show that the use of parallel Monte Carlo Markov chains for the exploration of the species space enables the identification of the set of species most likely to contribute to the mixture. Results: We demonstrate the greater accuracy of metaMix compared with relevant methods, particularly for profiling complex communities consisting of several related species. We designed metaMix specifically for the analysis of deep transcriptome sequencing datasets, with a focus on viral pathogen detection; however, the principles are generally applicable to all types of metagenomic mixtures. Availability and implementation: metaMix is implemented as a user friendly R package, freely available on CRAN: http://cran.r-project.org/web/packages/metaMix Contact: sofia.morfopoulou.10@ucl.ac.uk Supplementary information: Supplementary data are available at Bionformatics online.
[EX A]: Bayesian mixture analysis for metagenomic community profiling
[EX Q]: Purpose: The aim of the study was to identify characteristic clinical features and outcomes of critically ill patients with confirmed severe acute respiratory syndrome (SARS). Materials and Methods: This retrospective study enrolled all patients admitted to a 12-bed SARS intensive care unit (ICU) in a tertiary care medical center in Taipei between May 15 and July 17, 2003. Patients with positive results of either reverse transcriptase-polymerase chain reaction or antibody to SARS coronavirus were defined as SARS cases and others with negative results as control cases. Results: Of the 50 patients, 14 had confirmed SARS. Demographics were similar between the 2 groups. The highest leukocyte and neutrophil counts, lactate dehydrogenase, and creatine kinase; positive endexpiratory pressure; and use of corticosteroids, ribavirin, and intravenous immunoglobulin were higher in the SARS group. In contrast, the lowest lymphocyte count and the ratio of PaO 2 to the fraction of inspired oxygen were lower in the SARS group. Of the 15 deaths in the control group, 12 (80%) occurred during the first 2 weeks after ICU admission. However, in the confirmed SARS group, 5 (55.6%) of the 9 deaths occurred within the third or fourth week. This difference in timing between these 2 groups was significant (P = .004). Conclusions: In a SARS ICU, patients with a confirmed diagnosis of SARS had significantly different clinical features and timing of mortality from those of the control group.
[EX A]: | Characteristic features and outcomes of severe acute respiratory syndrome found in severe acute respiratory syndrome intensive care unit patients
| 6 | NIv2 | task1161_coda19_title_generation | fs_opt | [
0.5110710859298706,
0.0185301024466753,
-0.6735903024673462,
0.014817405492067337,
0.7548733949661255,
-0.6642191410064697,
0.7054858803749084,
1.0785547494888306,
-0.3504054546356201,
0.35010337829589844,
-0.32958105206489563,
0.9474096298217773,
-0.13222472369670868,
0.6290996074676514,
... |
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Let me give you an example: The severe acute respiratory syndrome (SARS) epidemic originating from China in 2002 was caused by a previously uncharacterized coronavirus that could be identified by specific RT-PCR amplification. Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients. A real-time fluorogenic RT-PCR assay based on the 3 -noncoding region (3 -NCR) of SARS-CoV genome was developed as a quantitative SARS diagnostic tool. The ideal amplification efficiency of a sensitive SARS-CoV RT-PCR assay should yield an E value (PCR product concentration increase per amplification cycle) equal to 2.0. It was demonstrated that the 3 -NCR SARS-CoV based RT-PCR reactions could be formulated to reach excellent E values of 1.81, or 91% amplification efficacy. The SARS-CoV cDNA preparations derived from viral RNA extract and the cloned recombinant plasmid both exhibit the identical amplification characteristics, i.e. amplification efficacy using the same PCR formulation developed in this study. The viral genomic copy (or genomic equivalences, GE) per infectious unit (GE/pfu) of SARS-CoV used in this study was also established to be approximate 1200-1600:1. The assay's detection sensitivity could reach 0.005 pfu or 6-8 GE per assay. It was preliminarily demonstrated that the assay could efficiently detect SARS-CoV from clinical specimens of SARS probable and suspected patients identified in Taiwan. The 3 -NCR based SARS-CoV assay demonstrated 100% diagnostic specificity testing samples of patients with acute respiratory disease from a non-SARS epidemic region.
The answer to this example can be: Development and evaluation of an efficient 3 -noncoding region-based SARS coronavirus (SARS-CoV) RT-PCR assay for detection of SARS-CoV
Here is why: It's a correct title because the paragraph described the development of 3 -noncoding region of SARS-CoV genome and assay efficiently detecting SARS-CoV from clinical specimens.
OK. solve this:
Background: Acute viral respiratory infections (VRI) are the most common diseases in humans and are associated with high morbidity and mortality in infants and the elderly. Children with congenital heart disease (CHD) are more susceptible to get severe forms of VRI due to their altered lung mechanics, leading to several complications, such as increased hospital stay, longer mechanical ventilation, and higher mortality. This study aimed to identify the frequency of VRI in children with CHD undergoing cardiac surgery, and to compare the major outcomes according to the presence or absence of a VRI. Methods: This was a longitudinal, observational cohort study. Nasopharyngeal secretion samples were collected pre-and postoperatively for patients undergoing cardiac surgery, from May 2013 to May 2014. Respiratory viruses were detected using CLART Pneumovir®. Results: Forty-eight patients were enrolled. We found a VRI preoperatively in 16 children with CHD before surgery (33.3%), and the frequency of new infections was 8.3% (4 patients). However, in this study, in univariate analyses, the two groups did not differ in any of the studied outcomes. In the multivariate regression models, adjusting for age and STAT category, the presence of a VRI did not show a significant effect on the major outcomes. Conclusions: In conclusion, VRI was frequent in children undergoing open-heart surgery, but the presence of a VRI did not impact on major outcomes in this cohort.
Answer: | Epidemiology of viral respiratory infections in children undergoing heart surgery | 8 | NIv2 | task1161_coda19_title_generation | fs_opt | [
0.5588698387145996,
0.2776634693145752,
-0.5714738368988037,
0.22530671954154968,
0.5870552062988281,
0.14482103288173676,
0.8924433588981628,
0.964380145072937,
-0.09446953982114792,
0.7329437732696533,
-0.04497423395514488,
0.8391598463058472,
0.08300057053565979,
0.5993355512619019,
-... |
TASK DEFINITION: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
PROBLEM: मैदान घास का होता है और इसे ग्राउंड्समैन के द्वारा तैयार किया जाता है जिसके कार्य में उर्वरण कटाई रोलिंग और सतह को समतल करना शामिल होता है।
SOLUTION: The ground has grass surface which is prepared and maintained by the groundsmen by planting, mowing of grass and rolling and leveling of the surface.
PROBLEM: ये उपबंध न्यायपालिका की स्वतंत्रता और राजा के लिए भी शिरोधार्य धर्म की सर्वोपरिता के परिचायक हैं , यह बताते हैं कि न्याय को कितना महत्व प्रदान किया गया
SOLUTION: Such provisions which speak of the independence of the judiciary and the supremacy of Dharma as binding even on the king , show the importance of justice .
PROBLEM: मान लीजिए , अगर यह एक अंग्रेजी लेख होता और एक अंग्रेज व्यक्ति पर आम राजद्रोह का अभियोग लगाया गया होता तो अभियोग पक्ष द्वारा ऐसा दस्तावेज प्रस्तुत करने पर जिसमें लिखे गए शब्दों से भिन्न शब्दों का प्रक्षेप साबित होता , अभियोग विफल हो जाता ।
SOLUTION: | Supposing this was an English article and supposing an Englishman were charged with sedition , the charge would fail if the prosecution proceeded on a document in which it was proved different words to those written were inserted .
| 8 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
-0.18144795298576355,
0.6203572154045105,
-0.08423632383346558,
-0.2991648316383362,
-0.3570285439491272,
-0.8667130470275879,
0.38748714327812195,
0.9370236396789551,
-0.0524006113409996,
-0.5669779777526855,
-0.9360412359237671,
0.38204020261764526,
-0.4958152770996094,
0.185204148292541... |
Detailed Instructions: A question is presented to you in this task, and your job is to write a potentially correct answer.
Problem:who played maxie jones on general hospital?
Solution: | Kirsten Storms | 8 | NIv2 | task1412_web_questions_question_answering | zs_opt | [
0.39492785930633545,
0.26779431104660034,
-1.0817147493362427,
-0.868751049041748,
-0.21818841993808746,
0.033494189381599426,
0.1624525934457779,
0.28339385986328125,
0.7358633875846863,
0.08129527419805527,
0.11284494400024414,
-0.46516576409339905,
0.17187857627868652,
0.020890049636363... |
In this task, you are given an english sentence and a kurdish sentence you have to determine if they both are faithful translations of each other.
Construct an answer that is 'Yes' if the second 'Kurdish' sentence is a translation of 'English' sentence and 'No' otherwise
'English : * Some could not be taken into custody and have reportedly gone abroad.','Kurdish : *Amerîkayê ji bo demildest girtina Gulen de delîlan xwestin, wê Wezareta Dadê îro hin delîlan bişînin. Ez dikarim bi taybetî ji bo radestîkirina Gulenî biçim Amerîkayê. Bo radestîkirina Gulenî feraseta Amerîkayê jî gûheriye û bi awayekî erênî nêzikê vê yekê dibin. Amerîka dizane ku ew hewldan bi talîmatdayîna Fetullah Gulenî pêk hatiye.'
No
'English : * 41 year-old M.Ö who has introduced himself as a psychiatrist in a hospital in Adana has raped the 19 year-old Y.R. in the woods whom he had met in the hospital and became lovers with. He had forced the women whose pictures he had taken, to sexual intercourse several times. The man arrested upon complaint of the woman has been brought to trial demanding 27 years in prison. (This incident which has occurred last summer in 2015 has appeared in the press only on February 24.)','Kurdish : *Wêne: AA - Enqere / Murat Kaynak'
No
'English : His meeting with his lawyer prevented','Kurdish : Hevdîtina bi parêzeran re hat astengkirin'
| Yes
| 0 | NIv2 | task910_bianet_classification | fs_opt | [
0.05100556090474129,
0.9762031435966492,
0.5681335926055908,
-0.6403387188911438,
-0.4618498384952545,
-0.4386233985424042,
0.17866696417331696,
0.8608399033546448,
0.0473489835858345,
-0.2941509783267975,
-0.42263442277908325,
0.6107237339019775,
-1.057429552078247,
0.5579208135604858,
... |
In this task your given two statements in Tamil. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: அந்த ஜோடி ஓரிருவரைக் கண்டு மகிழ்ச்சியடைந்தது
அவர்கள் முத்தமிட்டனர்
A: | effect | 4 | NIv2 | task1177_xcopa_commonsense_cause_effect_ta | zs_opt | [
-0.15836933255195618,
0.8807192444801331,
-0.07498996704816818,
-0.46003860235214233,
-0.14369924366474152,
-0.7977426648139954,
0.38062503933906555,
0.09280936419963837,
0.276355504989624,
-0.14236783981323242,
-0.2719677686691284,
0.37492239475250244,
-0.5428071022033691,
-0.215310573577... |
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.
Q: A couple of days ago my 96 year old upstairs neighbor passed away. His heart suddenly stopped and he collapsed.
His carer called me because she knew I was the only one there who was CPR certified (even though I had never performed it on a human being).
I did CPR, even tho I knew it wouldn't work because he was so old and quite a few minutes had passed between the moment his heart stopped and when I got there and started with the chest compressions, so his chances of surviving were extremely low. However, his relatives did not think about opting for a "do not resuscitate order".
After a few minutes of doing CPR, the ambulance came and the paramedics took over.
As expected, he was soon declared dead.
The funeral is in an hour and my mom just assumed I was going to go.
This morning I told her that I wasn't planning on going because I don't really like funerals in general, and I also know it's going to be super crowded because everyone knew him (there's going to be a choir and everything).
I also don't like the idea of seeing the casket.
It just brings me back to me cracking his ribs, knowing that he was dead but not being able to stop because unless a doctor declares a person dead, you have to keep going (at least in my country) and I don't really feel like it.
My mom told me that I was a bitch for not going and that it was disrespectful.
Now, I understand why she would say that but if I don't feel like going, why do I have to be forced to go? I'd put aside my hate for funerals if it was about a close relative or a friend, but even tho I have known this neighbor for many years, I wasn't personally that close to him.
Sorry for the long post.
A: not wanting to go to my 96 year old neighbor's funeral
****
Q: I hate buying cars from a dealer. But with the poor timing of having a sheet of black ice sentence my beloved Tacoma to a concrete wall, and an upcoming road trip in the next week, I had to get something reliable soon. I settled on a used 2013 Scion xB from the local Subaru dealership. I noticed the front tires were wearing thin, and brought that up during the deal. They said “Nope! We checked them and they’re 70% tread” which they clearly weren’t. But they’re clearly under a third treadlife left. I also noticed the floor mats were not present, but I thought they’d be in the trunk after their detailing like all the previous cars I’ve purchased. After all, the Carfax said “floor mats installed” when the dealership originally took it in on trade. In hindsight I clearly should’ve checked, but mistakenly took their word for it. When all was said and done, I was handed the “key”. Just one. No second fob, no valet key, just one single key. This is a $260 second key from Toyota that I need to get cut and programmed now, and again, I wouldn’t have felt the need to clarify how many keys come with the vehicle during the negotiation. I assumed all the keys would be present. I only discovered the single key issue after the final handshake. And lastly, for the cherry on top, I found out while they were attaching the paper temp tag that there’s a screw broken off flush in the license plate hole.
The car has 65,000 miles and I paid just under $10k for the car. Yes, I knew I paid too much. But after all the issues, now I feel like I REALLY paid too much after discovering that some of the basic parts are missing. I am meeting with the “sales manager” tomorrow to discuss my disappointment, but am I the asshole for insisting on compensation for new tires, a second key, and floor mats?
A: pestering my dealership to get the accessories my car was supposed to come with
****
Q: Hi everyone,
&#x200B;
Second time posting here. Sorry if this gets long.
&#x200B;
I've been in a relationship with this girl for 10 months. Throughout this relationship we have grown very strong as a couple. We love each other very much and have admitted that we are each some of each other's best friends without a doubt.
&#x200B;
We both attend a rigorous engineering university which requires us to study long hours throughout the week. My workload is much lighter than hers at the moment, due to the fact I'm trying to bounce back from a rough semester. Her schedule makes her busy and recently it's been difficult for us to find time to hang out together. It's left me frustrated, because I really love and care to see her.
&#x200B;
The last time I saw her (which was yesterday) was for only thirty minutes at a restaurant in our university, and while it was enjoyable for the both of us, she was trying to study and told me she needed to go to a study room to focus on a couple of tests she had later that week. I assume the loud atmosphere and myself was probably distracting her.
&#x200B;
Cue to Valentine's Day, the day this post was written. I have no classes today, and she told me that she would be able to spend some time with me. We discussed and agreed to do it in the evening after she was done studying for her exams. I went to get some flowers for her and got ready. She continuously studied from mid afternoon to 11 at night. At 10:30, after waiting around for a while, I got fed up and texted her, saying: "*Hey look, it's getting late. Although I really want to see you, I hate to say that maybe we should do this later*." She responded basically by saying that she is sorry and was caught up in her studying; a few minutes later she texted again saying that she needed sleep and would be going home instead (we've only slept together on special occasions, and tonight simply wouldn't have worked). I complied with her and understood her frustrations. She said she wanted to hang out with me but just needed some sleep. None of us escalated the situation and kind of left it at a standstill.
&#x200B;
So I was (and still am) a little bit upset that nothing came out of this evening. We have established that school is a priority in our relationship and it still should be, but I still feel kind of upset about this whole ordeal. To make matters worse, this weekend (which happens to be a 4 day weekend due to President's Day in the US), she's traveling across the state with a few of her friends in an impromptu road trip.
&#x200B;
I suppose my frustration comes out from what happened above: we have not been able to get together a lot recently, we were unable to spend Valentine's Day together, and now she leaves with her friends for a road trip. We generally don't hang out on weekdays so I probably won't see her until next weekend.
&#x200B;
So do I have a right to be frustrated despite me understanding that we both attend a vigorous university? Should I just let it go? And, most importantly, would it be asshole-ish to explain to her why I've been frustrated recently?
A: | telling my girlfriend my frustrations
****
| 4 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.28311410546302795,
-0.059707991778850555,
-0.5101326704025269,
-0.36457088589668274,
0.31287461519241333,
-0.3719480633735657,
0.8662049174308777,
0.786938488483429,
-0.4531453251838684,
0.5512130856513977,
0.6376608610153198,
0.6683779954910278,
-0.2983449697494507,
1.081578016281128,
... |
Given the task definition and input, reply with output. You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. 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'.
Person1: He loves that blonde girl .
Person2:Yes , he once gave her seven roses .
Person1: Did she accept it ?
Person2:No way to know .
| formal | 5 | NIv2 | task1533_daily_dialog_formal_classification | zs_opt | [
-0.7385703325271606,
1.1059894561767578,
0.4163498878479004,
-0.12042775750160217,
-0.2531915605068207,
-0.29260575771331787,
0.8676515817642212,
-0.10402180999517441,
0.22353655099868774,
-0.35194385051727295,
-0.6191349029541016,
-0.3374180793762207,
-0.17878316342830658,
0.6798436641693... |
You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be associated with any specific word in the question; instead it should depend on the context present in the question. The expected answer should not be equally likely to fill the blank. For your question, there should be a agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use animals or proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. Avoid repeating the same style, pattern or phrases in each question, try to increase diversity by varying sentence structure, blank placement etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Object X and Y have the same number e.g. when ObjectX is singular, Object Y must be singular, too. The two objects (Object X & Object Y) should be used ONCE in your question. Here is a list of attributes and associated pair of contrastive words which may be used to create a valid question using the objects. You can use either of the contrastive words, but not both. You should think about more such attributes and associated words and use them in your question.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
One example is below.
Q: Context word: fit.
A: The trophy doesn't fit into the brown suitcase because _ is too large.
Rationale: The question is about two related but different objects (i) "trophy" and (ii) "suitcase". The quesion contains exactly one blank (_). The expected answer is "trophy" which is one of the objects.
Q: Context Word: knock.
A: | The child knocked on the wall and not on the door since the _ was acoustic. | 9 | NIv2 | task031_winogrande_question_generation_object | fs_opt | [
0.8187991380691528,
0.5310643911361694,
0.1976620852947235,
0.14928096532821655,
0.7041614055633545,
-0.9175398945808411,
0.49654504656791687,
1.1870638132095337,
-0.4262431263923645,
-0.5104691982269287,
-0.2316034734249115,
0.11584301292896271,
-0.21222493052482605,
0.1199701651930809,
... |
A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence.
Example Input: I can say with confidence that India was never a more promising destination than it is today.
Example Output: હું વિશ્વાસ સાથે કહી શકું કે ભારતમાં અત્યારે જેટલી તકો છે તેટલી અગાઉ ક્યારેય નહોતી.
Example Input: The strength of our cooperation in the field of atomic energy is being reflected in the unhindered supply of uranium.
Example Output: અમારા પરમાણું ઉર્જા સહયોગની દ્રઢતા યુરેનિયમની અબાધિત પુરવઠાથી જોવા મળે છે.
Example Input: Venkaiah Naidu has greeted the people on the auspicious occasion of Janmashtami.
Example Output: | પ્રધાનમંત્રી શ્રી નરેન્દ્ર મોદીએ જન્માષ્ટમીના પર્વ પર લોકોને શુભેચ્છા પાઠવી હતી.
| 3 | NIv2 | task1079_pib_translation_english_gujarati | fs_opt | [
-0.23390889167785645,
0.8224225044250488,
0.37900733947753906,
-0.40372592210769653,
-0.2671816349029541,
-0.8720571994781494,
0.639325737953186,
0.10453682392835617,
0.01310671865940094,
-0.4251958131790161,
-0.2727275490760803,
0.30583131313323975,
-0.6749606728553772,
-0.085557013750076... |
Detailed Instructions: 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.
Problem:qqztPbLzHiRJ, iGZtPbLzAoAM
Solution: | qqzblptzHiRJ, iGZblptzAoAM | 8 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.26932066679000854,
0.8087277412414551,
-0.2885510325431824,
-0.4479420781135559,
-0.16379314661026,
0.28280508518218994,
0.7154709696769714,
-0.7875988483428955,
-0.48100942373275757,
-0.15717661380767822,
-0.7160843014717102,
-0.34888970851898193,
-0.07295126467943192,
0.028761580586433... |
The goal of this task is to translate questions in English into Catalan. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the text must be written as a question
Input: Consider Input: What did the General Conference on Weights and Measures name after Tesla in 1960?
Output: Què va anomenar la Conferència General de Pesos i Mesures en honor a Tesla el 1960?
Input: Consider Input: How did Hobson argue to rid the world of imperialism?
Output: Quan va prendre França el control d'Algèria?
Input: Consider Input: Ediacaran eoandromeda can be regarded to represent what?
| Output: Com es va anomenar el període que data de fa 505 milions d’anys?
| 2 | NIv2 | task1677_xquad-ca_translation | fs_opt | [
0.5600132346153259,
0.9497522115707397,
-0.029391923919320107,
-0.2914028763771057,
-0.10295948386192322,
-1.3965727090835571,
0.5800461173057556,
-0.16870355606079102,
-0.03373575955629349,
-0.14397281408309937,
-0.2762044668197632,
0.7857650518417358,
-0.2224569320678711,
0.3759307861328... |
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Let me give you an 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.
The answer to this example can be: 5
Here is why: The user really seem very satisfied with the product and gave good review worthy of 5 stars rating.
OK. solve this:
When I got my Keurig I fell in love. I bought a bunch of different sample packs and two boxes of the grove square hot cocoa. I'm a bit of a hot cocoa nut, partially because I can't have caffeine, and partially because it brings back wonderful memories of playing in the snow and the fun of warming up afterwards. I really wanted to love this hot cocoa. I tried all three flavors multiple times, in different ways. I tried them on the different cup sizes, adding things, etc. There's just this strange taste to them that doesn't sit well on the tongue. I'm not sure what it is, but it has a faint ring of sour milk. It really lingers, and I haven't found anything that takes the taste away. I'm going to give my second box to a friend, she doesn't seem to notice it. My daughter and husband both said it tasted weird, so it's not just me. I also took it to a friend's house and have tried them in three different Keurig machines, JUST to make sure mine didn't need to be descaled. So I guess my suggestion is to try it before you go for the multiple boxes.
Answer: | 1 | 8 | NIv2 | task588_amazonfood_rating_classification | fs_opt | [
0.510162353515625,
-0.3250407576560974,
0.00438076164573431,
0.5085837244987488,
0.5794151425361633,
-0.41915780305862427,
0.9425552487373352,
0.6988964676856995,
-0.713532567024231,
-0.022413179278373718,
0.2916197180747986,
-0.5220239162445068,
-1.1357719898223877,
0.08497995883226395,
... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
[EX Q]: Statement: They delayed my swearing-in here in Massachusetts for a couple weeks so they could ram (the health care law) through.
Subject: islam
[EX A]: False
[EX Q]: Statement: The House passed a pay-as-you-go rule that said, "If you wanted to have an investment, an entitlement, etc., you had to pay for it."
Subject: federal-budget,stimulus
[EX A]: True
[EX Q]: Statement: TheU.S. economyis three times asbig as Chinas.
Subject: education,job-accomplishments,message-machine-2014
[EX A]: | False
| 6 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.21631839871406555,
0.4735557734966278,
-0.24705049395561218,
-0.4535103440284729,
-0.40584439039230347,
-0.18077567219734192,
0.7917390465736389,
0.16290181875228882,
0.06644754111766815,
-0.09032323211431503,
-0.36159777641296387,
0.09794427454471588,
-0.16427525877952576,
-0.109354034... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
One example: 2, 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Solution is here: 34, 7, 762
Explanation: Here, starting from 2nd element every 3rd element from the list are '34', '7', and '762'.
Now, solve this: 5, 2, ['t', '4903', '9125', '7735', '6507', '2483', 'N', '1935', '3917', 'b', '6639', 'm', 'b', 'P', 'V', 's', '9407', '4009', '745', 'A', 'm', '401', 'l', 'o', '7533', 'Z', 'v']
Solution: | 6507, N, 3917, 6639, b, V, 9407, 745, m, l, 7533, v | 6 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.21749252080917358,
-0.09969353675842285,
-0.8024254441261292,
-0.4732031226158142,
-0.15127861499786377,
-0.10505225509405136,
0.8315615653991699,
0.5672636032104492,
-0.450665682554245,
0.03643296658992767,
-0.6475608348846436,
0.12895599007606506,
-0.0806162878870964,
0.404868125915527... |
TASK DEFINITION: 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.
PROBLEM: Question: How long had the United Nations been in existence when Gross was appointed? Passage 1:On October 11, 1949, United States Secretary of State Dean Acheson appointed Gross as the United States' deputy delegate to the United Nations. Only two months later, the chief delegate, Warren Austin, took a leave of absence, and Gross took over as acting head of the U.S. delegation to the U.N. The major issue facing the United Nations at that time was the Soviet Union's proposal that, with the conclusion of the Chinese Civil War, the Communist People's Republic of China should replace the Republic of China on the United Nations Security Council. On January 13, 1950, the Soviet delegate, Jacov Malik, walked out of the Security Council in protest. Malik remained absent for several months, and as such the Soviet Union failed to exercise its veto power to block United Nations Security Council Resolution 82, which condemned North Korea at the beginning of the Korean War; on behalf of the U.S., Gross voted in favor of the resolution. In fall 1950, Warren Austin returned from his leave of absence, and Gross continued to serve as Austin's deputy until 1953.
Passage 2:In 1908, she met John Dailey de Angeli, a violinist, known as Dai. They were married in Toronto on April 12,1910. The first of their six children, John Shadrach de Angeli, was born one year later. After living in many locations in the American and Canadian West, they settled in the Philadelphia suburb of Collingswood, New Jersey. There in 1921 Marguerite started to study drawing under her mentor, Maurice Bower. In 1922, Marguerite began illustrating a Sunday School paper and was soon doing illustrations for magazines such as The Country Gentleman, Ladies' Home Journal, and The American Girl, besides illustrating books for authors including Helen Ferris, Elsie Singmaster, Cornelia Meigs, and Dorothy Canfield Fisher. Her last child, Maurice Bower de Angeli, was born in 1928, seven years before the 1935 publication of her first book, Ted and Nina Go to the Grocery Store. The de Angeli family moved frequently, returning to Pennsylvania and living north of Philadelphia in Jenkintown, west of Philadelphia in the Manoa neighborhood of Havertown, on Carpenter Lane in Germantown, Philadelphia, on Panama Street in Center City, Philadelphia, in an apartment near the Philadelphia Art Museum, and in a cottage in Green Lane, Pennsylvania. They also maintained a summer cabin on Money Island in Toms River, New Jersey. Marguerite's husband died in 1969, eight months before their 60th wedding anniversary.
Passage 3:The Tremp Basin evolved into a sedimentary depression with the break-up of Pangea and the spreading of the North American and Eurasian Plates in the Early Jurassic. Rifting between Africa and Europe in the Early Cretaceous created the isolated Iberian microplate, where the Tremp Basin was located in the northeastern corner in a back-arc basin tectonic regime. Between the middle Albian and early Cenomanian, a series of pull-apart basins developed, producing a local unconformity in the Tremp Basin. A first phase of tectonic compression commenced in the Cenomanian, lasting until the late Santonian, around 85 Ma, when Iberia started to rotate counterclockwise towards Europe, producing a series of piggyback basins in the southern Pre-Pyrenees. A more tectonically quiet posterior phase provided the Tremp Basin with a shallowing-upward sequence of marine carbonates until the moment of deposition of the Tremp Formation, in the lower section still marginally marine, but becoming more continental and lagoonal towards the top.
SOLUTION: 1
PROBLEM: Question: What was the enrollment at Norwegian Academy of Music in 1954? Passage 1:Elvestrand was born in Østre Gausdal. His father was an organist at Østre Gausdal Church and Follebu Church, and he allowed Magne to play there in 1927. Elvestrand studied organ under Arild Sandvold and Fartein Valen, who dedicated his opus 33 to him, and studied theory, harmony, and counterpoint under Gustav Fredrik Lange and Per Steenberg. At the age of 18 he was made cathedral organist at Oslo Cathedral while Eyvind Alnæs was ill and then continued in this function after Alnæs's death until Sandvold was appointed to the position. During the commemoration of the 200th anniversary of Bach's death in 1950, Elvestrand played all of Bach's works at Grefsen Church, where he was organist from 1940 to 1967. He debuted as a pianist in 1956, and he performed his first full harpsichord concert in Copenhagen in 1962. Elvestrand served as the organist at Trinity Church in Oslo from 1967 to 1984. As a teacher, he worked at the Oslo Conservatory of Music from 1942 to 1954 and from 1966 to 1973, at the Norwegian Academy of Music from 1973 to 1984, and at the Huseby public school for the blind from 1952 to 1975. He retired in 1981. Elvestrand's solo album was nominated for the 1977 Spelleman Awards in the classical/contemporary music category, but the award was won by Grex Vocalis. Elvestrand died in Germany.
Passage 2:The band signed to Earache Records in the late 1980s and released their influential debut album, Streetcleaner (1989), to critical acclaim. After the release of Pure (1992) and their major label debut Selfless (1994), they started experimenting with live drums, as well as with hip hop and breakbeat sounds. The resulting albums, Songs of Love and Hate (1996) and Us and Them (1999), were followed by Hymns (2001), which saw a simplification of the band's sound. Shortly after Green's departure in 2002, Broadrick ended Godflesh and pursued various other projects, including Jesu. Broadrick and Green reformed Godflesh in 2010, releasing A World Lit Only by Fire (2014) and Post Self (2017) to critical acclaim.
Passage 3:McGarrity won the Formula Ford Festival in 1995 after finishing second in the British Formula Ford series. He was nominated for the McLaren Autosport BRDC Award but it went to fellow Northern Ireland driver Jonny Kane. In 1996 he drove in Formula Opel and the following year he drove in the British Formula Three Championship where he finished 10th. In 1998 he moved up to Formula 3000 where he competed in the first five races for Raceprep Motorsport and rounds 7 through 9 for Nordic Racing. He competed full-time in 1999 for Nordic Racing and finished 10th in points despite only finishing in the points once, finishing on the podium in second in the season opener at Imola. He returned to the team and series in 2000, this time with teammate Justin Wilson. He finished 20th in points with a best finish of 4th at Monaco. In 2001 he left formula cars for sports car racing and drove in the 2001 24 Hours of Le Mans for the MG factory team, but the car failed to finish. He drove the same car in 2002 but the result was the same. He returned to the race in 2004 driving a Bioethanol powered Reynard-Judd for Team Nasamax, finishing the race 17th overall. He drove part-time in the Le Mans Series in 2006. He then joined McLaren Automotive as full-time test driver for the new McLaren car project the MP4-12C from the start of the project.
SOLUTION: 1
PROBLEM: Question: Where were Commandino's pupils from? Passage 1:Born in Urbino, he studied at Padua and at Ferrara, where he received his doctorate in medicine. He was most famous for his central role as translator of works of ancient mathematicians. In this, his sources were primarily written in Greek and secondarily in Arabic, while his translations were primarily in Latin and secondarily in Italian. He was responsible for the publication of many treatises of Archimedes. He also translated the works of Aristarchus of Samos (On the sizes and distances of the Sun and the Moon), Pappus of Alexandria (Mathematical collection), Hero of Alexandria (Pneumatics), Ptolemy of Alexandria (Planisphere and Analemma), Apollonius of Perga (Conics) and Euclid of Alexandria (Elements). Among his pupils was Guidobaldo del Monte and Bernardino Baldi. Commandino maintained a correspondence with the astronomer Francesco Maurolico. The proposition known as Commandino's theorem first appears in his work on centers of gravity.
Passage 2:In 1787, Swedish part-time chemist Carl Axel Arrhenius found a heavy black rock near the Swedish village of Ytterby, Sweden (part of the Stockholm Archipelago). Thinking that it was an unknown mineral containing the newly discovered element tungsten, he named it ytterbite. Finnish scientist Johan Gadolin identified a new oxide or "earth" in Arrhenius' sample in 1789, and published his completed analysis in 1794; in 1797, the new oxide was named yttria. In the decades after French scientist Antoine Lavoisier developed the first modern definition of chemical elements, it was believed that earths could be reduced to their elements, meaning that the discovery of a new earth was equivalent to the discovery of the element within, which in this case would have been yttrium. Until the early 1920s, the chemical symbol "Yt" was used for the element, after which "Y" came into common use. Yttrium metal was first isolated in 1828 when Friedrich Wöhler heated anhydrous yttrium(III) chloride with potassium to form metallic yttrium and potassium chloride.
Passage 3:Aikido was first brought to the rest of the world in 1951 by Minoru Mochizuki with a visit to France where he introduced aikido techniques to judo students. He was followed by Tadashi Abe in 1952, who came as the official Aikikai Hombu representative, remaining in France for seven years. Kenji Tomiki toured with a delegation of various martial arts through 15 continental states of the United States in 1953. Later that year, Koichi Tohei was sent by Aikikai Hombu to Hawaii for a full year, where he set up several dojo. This trip was followed by several further visits and is considered the formal introduction of aikido to the United States. The United Kingdom followed in 1955; Italy in 1964 by Hiroshi Tada; and Germany in 1965 by Katsuaki Asai. Designated "Official Delegate for Europe and Africa" by Morihei Ueshiba, Masamichi Noro arrived in France in September 1961. Seiichi Sugano was appointed to introduce aikido to Australia in 1965. Today there are aikido dojo throughout the world.
SOLUTION: | 1
| 8 | NIv2 | task230_iirc_passage_classification | fs_opt | [
1.053647756576538,
0.3055230379104614,
-0.9673435688018799,
0.8510520458221436,
0.6858536005020142,
-0.1020311564207077,
0.8881192803382874,
0.617196261882782,
-0.27895206212997437,
0.4095197319984436,
-0.33772772550582886,
0.47762900590896606,
-0.6724858283996582,
0.23245321214199066,
0... |
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 includes an event or an action in the Tail or not. This happens when the Tail denotes a step within the larger head event. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: go for drive<sep>Tail: make sure have enough petrol
A: | Yes | 9 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.12076304852962494,
-0.031181700527668,
0.5592294335365295,
-0.17604969441890717,
-0.9153949618339539,
-1.1557987928390503,
1.1035693883895874,
0.6070578098297119,
-0.512095034122467,
-0.20411521196365356,
-0.4069335460662842,
-0.5392796993255615,
-0.27813953161239624,
0.15001915395259857... |
Teacher:In this task you are given a premise and two alternatives in Swahili. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Teacher: Now, understand the problem? Solve this instance: Nilioka pai ya tofaa.
(1)Harufu ya uoza ilijaa jikono.(2)Harufu ya kupendeza ilijaa jikoni.
Student: | 2 | 6 | NIv2 | task1174_xcopa_commonsense_reasoning_sw | zs_opt | [
-0.5059804320335388,
0.8241819143295288,
0.5115208625793457,
-0.24930882453918457,
-0.4610023498535156,
-0.22048664093017578,
1.1031444072723389,
0.4339754581451416,
0.7563475370407104,
-0.2700056731700897,
-0.37740299105644226,
0.11640466749668121,
-0.5499012470245361,
0.10079604387283325... |
Given the task definition and input, reply with output. In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
@_Oteraw unhappy and unfulfilled 😂
| Not angry | 5 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | zs_opt | [
-0.7600852847099304,
0.9811187982559204,
0.5939081311225891,
-0.3065519332885742,
0.1083173155784607,
-0.5313538312911987,
0.4449887275695801,
-0.5670013427734375,
0.4767908453941345,
0.20082443952560425,
0.3747999370098114,
-0.8215352296829224,
-0.34949010610580444,
-0.32282525300979614,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Question: Which foreign band that influenced Suffocation released their debut album earliest? Passage:Suffocation was formed in 1988 on Long Island, New York, by vocalist Frank Mullen, guitarists Guy Marchais and Todd German, bassist Josh Barohn, and an unknown drummer. By 1990, the band had hired guitarists Terrance Hobbs and Doug Cerrito along with drummer Mike Smith, who were members of a local band called Mortuary, which had already disbanded. The quintet was mainly influenced by fellow American death metal bands as well as the British band Napalm Death and Brazilian Sepultura. Smith commented on meeting Hobbs for the first time: "That's where I first noticed, 'Wow, theres another black guy playing this kind of stuff'". The band's first EP, Human Waste, was released through Relapse Records in 1991. The full-length debut album, Effigy of the Forgotten, recorded by producer Scott Burns at Tampa's Morrisound Studios and released by Roadrunner Records the same year. In July 1991, Barohn was replaced by Chris Richards, as the album became substantially influential in extreme metal music.
Output: | The quintet was mainly influenced by fellow American death metal bands as well as the British band Napalm Death and Brazilian Sepultura | 1 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
1.25333833694458,
0.03731638938188553,
-0.8402829766273499,
0.22008095681667328,
0.5035395622253418,
-0.5410856604576111,
1.4864884614944458,
0.6993407607078552,
-0.12767228484153748,
0.6419558525085449,
0.1814470887184143,
0.24558448791503906,
-0.7630519866943359,
0.05434361845254898,
0... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Ex Input:
Jesteśmy gotowi spojrzeć w przeszłość. Na narodziny kosmosu.
Ex Output:
אז אנחנו עכשיו מוכנים להביט לאחור על היקום המרוחק, השחר הקוסמי.
Ex Input:
Chciałam, żeby ludzie poczuli, że dostali coś, co mogłoby być listem miłosnym.
Ex Output:
רציתי שלאנשים באמת תהיה תחושה שקיבלו משהו שיכול היה להיות מכתב אהבה שמיועד להם.
Ex Input:
To jeden z powodów, dla których większość z tego, co uważamy naukę, matematykę i inżynierię Zachodu, tak naprawdę opracowali w pierwszych wiekach naszej ery Persowie, Arabowie i Turkowie.
Ex Output:
| זו אחת הסיבות שהרבה ממה שאנו מחשיבים כמדע, מתימטיקה והנדסה מערביים בעצם פותחו במאות הראשונות לספירה על ידי הפרסים הערבים והטורקים.
| 1 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.4377562999725342,
0.6712193489074707,
-0.03138076514005661,
0.19429191946983337,
0.018338192254304886,
0.3678034543991089,
0.645409107208252,
-0.8327347040176392,
0.307742714881897,
-0.43751490116119385,
-0.7870296239852905,
0.47700706124305725,
-0.030736351385712624,
0.319672167301178,... |
Instructions: In this task your given two statements in Turkish. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Input: Öfkem geçti.
Derin nefes aldım.
Output: | cause | 3 | NIv2 | task1181_xcopa_commonsense_cause_effect_tr | zs_opt | [
-0.7157777547836304,
0.13352900743484497,
-0.25768762826919556,
-0.47957760095596313,
0.0607389472424984,
-0.045180611312389374,
0.890416145324707,
-0.08373336493968964,
0.8366217017173767,
-0.05319908633828163,
-0.3370635211467743,
0.26301246881484985,
-0.929935097694397,
0.39559048414230... |
Teacher:In this task, you will be presented with a question having multiple possible answers in Arabic language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Teacher: Now, understand the problem? Solve this instance: Question: أين يمكن أن تحتفظ حديقة الحيوان بالليمور؟
Options: A بنك B أستراليا C قفص D فورست E الفجوة
Student: | C | 6 | NIv2 | task1142_xcsr_ar_commonsense_mc_classification | zs_opt | [
-0.28865280747413635,
0.014903485774993896,
-0.18281371891498566,
-0.8002611398696899,
-0.771989107131958,
-0.19632381200790405,
1.208939552307129,
0.1946246176958084,
-0.027177687734365463,
-0.31454774737358093,
-0.16085600852966309,
0.7030833959579468,
-1.0786283016204834,
0.115703620016... |
Detailed Instructions: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Problem:Context: Tracy examined every element of the drink and concluded it was safe.
Answer: take the drink
Solution: | Why did Tracy do this? | 8 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
0.6259635090827942,
1.623061180114746,
-0.1651618480682373,
-0.1831335723400116,
-0.21409855782985687,
-0.37700793147087097,
0.42846041917800903,
-0.13778337836265564,
1.0626294612884521,
0.1903727650642395,
-0.31557536125183105,
-0.3026757538318634,
-0.3824392259120941,
0.0965059921145439... |
TASK DEFINITION: Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
PROBLEM: Context : Victor Benjamin Neuburg died from tuberculosis on May 30, 1940.
Answer : tuberculosis
SOLUTION: What was the sickness that killed Victor Benjamin Neuburg?
PROBLEM: Context : NordStar was founded by Norilsk Nickel and was launched on 17 December 2008, based on local Taimyr Peninsula airlines.
Answer : Norilsk Nickel
SOLUTION: Which company is the parent company of NordStar?
PROBLEM: Context : Sanoh Thienthong has graduated with a Bachelor of Laws degree from the Sripatum University.
Answer : Sripatum University
SOLUTION: | What university did Sanoh Thienthong attend?
| 8 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
-0.015983670949935913,
0.2646077275276184,
-0.2965569496154785,
-0.3218817412853241,
-0.17815172672271729,
0.5131043791770935,
1.1689727306365967,
0.3543100953102112,
0.3950040638446808,
0.1834387630224228,
0.12433548271656036,
0.5650899410247803,
-0.7335332632064819,
0.29970717430114746,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Sentence 1: In 1988, postmodernist Jean-Franaois Lyotard published Le Postmoderne explique aux enfants ( Postmodernism Explained to Children ), and the book became a must-read for graduate students everywhere. Sentence 2: Jean-Franaois Lyotard wrote a useful book for graduate students called, in translation, "Postmodernism Explained to Children."
slate
Sentence 1: The question is not how to eliminate injustice--which is, as always, impossible--but how to minimize it. Sentence 2: The question is how to eradicate injustice.
slate
Sentence 1: Unless you're a lover of this type of architecture, the highlight will probably be the many colourful, inventive murals donated by different countries, depicting the Virgin and Child, often quite unashamedly in their own national image. Sentence 2: Different countries donated interesting murals of the Virgin and Child.
| travel
| 0 | NIv2 | task197_mnli_domain_answer_generation | fs_opt | [
-1.045056939125061,
0.7381814122200012,
-0.2888975143432617,
-0.5285947322845459,
-0.10183711349964142,
0.3002151846885681,
0.3754572868347168,
0.4233744144439697,
0.33627161383628845,
0.18977271020412445,
-0.5357832908630371,
0.43776750564575195,
-0.8610267639160156,
-0.12789809703826904,... |
Instructions: In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipients then it must be labeled as ‘spam’, otherwise, it should be labeled as ‘ham’.
Input: Same. Wana plan a trip sometme then
Output: | ham | 3 | NIv2 | task109_smsspamcollection_spamsmsdetection | zs_opt | [
-0.7293136119842529,
0.04456009715795517,
0.8090227842330933,
-0.8413680791854858,
-0.009243776090443134,
-0.7159278988838196,
0.12845849990844727,
-0.14565807580947876,
-0.6385723948478699,
0.549587607383728,
-0.32600778341293335,
0.40597617626190186,
-0.2952805757522583,
-0.6052575111389... |
TASK DEFINITION: Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
PROBLEM: The young mutant screams and the sailors fall to their knees. Someone
SOLUTION: sprints across the deck, leaps, and grabs onto someone's hand.
PROBLEM: He takes a long drink. Someone
SOLUTION: sips a beer from a glass mug.
PROBLEM: Someone shoots the car radio. The cop
SOLUTION: | flinches with each shot.
| 8 | NIv2 | task453_swag_answer_generation | fs_opt | [
0.25675803422927856,
0.7832497954368591,
-0.7776809930801392,
-0.22204023599624634,
-0.40230560302734375,
0.2511892318725586,
0.35481569170951843,
-0.24165886640548706,
0.4274716377258301,
-0.008756580762565136,
0.07772637903690338,
-0.1648036241531372,
-0.7014511823654175,
0.0038448753766... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Example: Tagalog sentence: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams
Example solution: Roger Federer was the first player to win 20 Grand Slams
Example explanation: The output is an exact translation of the Tagalog sentence and its meaning remains the same.
Problem: Tagalog sentence: Ito ay isang kabigha-bighani kuwento kung paano ang Sangkap ay survived mula sa Euclid ng oras at ito ay sinasabi ng mabuti sa pamamagitan ng Fowler sa.
| Solution: It is a fascinating story how the Elements has survived from Euclid's time and this is told well by Fowler in . | 5 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
0.03895186632871628,
0.30446547269821167,
-0.3090550899505615,
0.013802919536828995,
0.5160223841667175,
-1.160753607749939,
0.5887237787246704,
-0.015712615102529526,
-0.06969919055700302,
-0.3926072418689728,
0.4268147349357605,
0.6616232991218567,
-1.1594312191009521,
-0.573611617088317... |
Instructions: In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Input: Nino Brown and his gang, the Cash Money Brothers, become the dominant drug ring in New York City once crack cocaine is introduced to the streets during the late 1980s. His gang consists of his best friend, Gee Money; enforcer Duh Duh Duh Man; gun moll Keisha; Nino's girlfriend, Selina, and her tech-savvy cousin, Kareem. Nino converts the Carter, an apartment complex, into a crack house. Gee Money and Keisha kill rival Fat Smitty, the CMB throws out the tenants, and Nino forces the landlord out onto the streets naked. Undercover detective Scotty Appleton attempts to make a deal with stick-up kid Pookie, but Pookie runs off with the money. Scotty chases Pookie and shoots him in the leg, but the police let him go.When Det. Stone comes under pressure, Scotty volunteers to infiltrate Nino's gang and is partnered with loose-cannon Nick Peretti. Elsewhere, mobster Frankie Needles attempts to collect taxes from Nino, who refuses to pay. While Scotty and Nick spy on Nino and his gang as they hand out Thanksgiving turkeys to the poor, Scotty spots Pookie, now a crack addict, as Pookie beats his junkie girlfriend. Instead of arresting him, Scotty puts Pookie in rehab, and, later, Pookie offers to help bring down Nino. Against his better judgment and the disapproval of Stone and Peretti, Scotty recruits Pookie as an informant in the Carter.When Pookie relapses, Gee Money realizes that he is wired, and he orders the Carter destroyed. The cops find Pookie's bloody corpse, but it is booby-trapped; Nick defuses the explosives mere seconds before it explodes. Angry, Nino warns Gee Money not to make such a costly mistake again. After Pookie's funeral and no longer needed by Stone, Scotty and Nick go undercover as drug dealers. After bribing Frankie Needles, Scotty infiltrates the CMB due in part to Gee Money's increasing ambition and drug use. Though Nino distrusts them, he agrees to do business. After relating an anecdote about his own violent initiation into a gang, Nino warns that he will kill both Scotty and Gee Money if there are any problems.Scotty gains Nino's trust when he reveals information about Gee Money's side deal and saves Nino from a gun-toting old man who had earlier attempted to convince the police of Nino's destructiveness. While Nino, Scotty, and the CMB attend a wedding, Nick sneaks into Nino's mansion to collect evidence, and Don Armeteo sends hitmen to assassinate Nino; a massive shootout erupts between the CMB and hitmen. When Nino uses a child as a shield, Scotty attempts to shoot Nino behind his back. Keisha is gunned down as she sprays bullets into the hitmen's van as they escape. Later, Selina condemns Nino for his murderous activities, and Nino throws her out. Nino later kills Don Ameteo from a speeding motorcycle.Stone, Scotty, and Nick arrange a sting operation to nab Nino. Kareem, who knows that Scotty and Pookie are connected, blows Scotty's cover, and a shootout ensues. Nick saves Scotty by killing the Duh Duh Duh Man, and Nino escapes. That night, Nino confronts Gee Money, who accuses Nino of egotism, and Nino regretfully kills him. After the gang's collapse, Nino holes up in an apartment and continues his criminal empire solo. Scotty and Nick assault the complex, and Scotty brutally beats Nino, revealing that it was his mother that Nino killed in his gang initiation. Nick talks Scotty out of killing Nino, who is taken into custody amid threats of retaliation.At his trial, Nino pleads guilty to a lesser charge, claims to have been forced to help the gang due to threats, and identifies Kareem as the leader. When Nino is sentenced to only one year in jail, Scotty is outraged. As Nino speaks with reporters outside of the courtroom, the old man again confronts Nino and shoots him in the chest. Scotty and Nick are both satisfied as Nino falls over the balcony to his death. As onlookers look down at Nino's body, an epilogue states to the viewers that decisive action must be taken to stop real-life Nino Brown analogues., Question: Nino Brown and his gang, the Cash Money Brothers, become the dominant drug ring in which city?
Output: | Answer: New York City | 3 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.6544003486633301,
0.6130093932151794,
-0.8249558210372925,
0.10497677326202393,
0.7173974514007568,
-0.07763436436653137,
0.9626097679138184,
1.0280474424362183,
0.18650318682193756,
0.45170408487319946,
0.2315848469734192,
0.3031560778617859,
-0.9201949834823608,
0.342789888381958,
0.... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Title: Cat. Sentence 1: He went to the pet store to buy a cat scratch pole. Sentence 2: Stephen cares for his cat and bought the most expensive one. Sentence 3: Stephen's cat always scratches his couch. Sentence 4: Stephen's cat loved the scratch pole. Sentence 5: To Stephen's dismay, the cat got tired of it after a week. | 31245 | 0 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.033274345099925995,
0.15179386734962463,
-0.2765366733074188,
-0.27771228551864624,
0.351445734500885,
-0.2556343972682953,
-0.2588319182395935,
0.44398486614227295,
-0.22337216138839722,
0.22934967279434204,
-0.3630751669406891,
0.40436553955078125,
-0.9929056763648987,
0.2400906980037... |
Instructions: In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Input: But I can't, and he can't, either.
Output: | لكن لا أستطيع , وهو لا يستطيع أيضا | 3 | NIv2 | task651_opus100_en_ar_translation | zs_opt | [
0.4482831060886383,
1.3105905055999756,
0.8089489936828613,
-0.6088457107543945,
0.29928505420684814,
0.23910339176654816,
-0.2717496156692505,
0.9036642909049988,
-0.0623493418097496,
-0.359180748462677,
-1.1585760116577148,
-0.2814303934574127,
-0.9027671813964844,
-0.7413760423660278,
... |
Teacher: Given a fact, create a question that can be answered using the fact. Construct the question such that it is unambiguous, has a unique answer and the answer can be given using the fact.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Fact: deep sea animals live deep in the ocean
Solution: Frilled sharks and angler fish live far beneath the surface of the ocean, which is why they are known as?
Reason: The output question is related to the fact in that frilled sharks and angler fish are deap sea animals. The question is related to the fact so this is a good question.
Now, solve this instance: Fact: landfills have a negative impact on the communities
Student: | A landfill? | 2 | NIv2 | task1398_obqa_question_generation | fs_opt | [
-0.5542876124382019,
-0.293700248003006,
-0.15130162239074707,
-0.24310573935508728,
-0.032617539167404175,
-0.984667956829071,
-0.08217179775238037,
0.33373841643333435,
-0.5101093649864197,
0.039430178701877594,
-0.20844274759292603,
0.28497540950775146,
-1.207595944404602,
-0.2824714779... |
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
One example is below.
Q: Context: Architecturally, the school has a Catholic character. Atop the Main Building's gold dome is a golden statue of the Virgin Mary. Immediately in front of the Main Building and facing it, is a copper statue of Christ with arms upraised with the legend 'Venite Ad Me Omnes'. Next to the Main Building is the Basilica of the Sacred Heart. Immediately behind the basilica is the Grotto, a Marian place of prayer and reflection. It is a replica of the grotto at Lourdes, France where the Virgin Mary reputedly appeared to Saint Bernadette Soubirous in 1858. At the end of the main drive (and in a direct line that connects through 3 statues and the Gold Dome), is a simple, modern stone statue of Mary.
Question: To whom did the Virgin Mary allegedly appear in 1858 in Lourdes France?
A: Saint Bernadette Soubirous
Rationale: This is the correct answer. Because the question is asking for the name of the person and following sentence from the passage answers it: It is a replica of the grotto at Lourdes, France where the Virgin Mary reputedly appeared to Saint Bernadette Soubirous in 1858.
Q: Context: Baghdad, in 2004, three soldiers of an Army bomb-disposal unit are investigating a report of an improvised explosive device (IED). They use a sophisticated robot drone to examine the device, which consists of several undetonated artillery shells wired together and hidden under plastic/fabric sheets. The unit, led by Sgt. Thompson, decides that they can detonate the IED using plastic explosives that they'll activate from a safe distance. Thompson also says that the explosion won't cause very much property damage and should result in no loss of life.A small cart is affixed to the back of the robot, which is then sent back into the blast zone. Before it can reach the IED, the trailer loses a wheel. Thompson dresses in a bulky bomb suit and walks down to the trailer. He picks it up and carries it to the IED, rigging it properly. As he walks back, his partners, Sgt. Sanborn and Specialist Eldridge, scan the immediate area for anyone they consider suspicious or who may be in the blast zone. When Thompson is about 25 meters from the bomb, but still in the kill zone, Eldridge notices a man running a butcher shop who is using a cellular phone. Eldridge yells to Sanborn and the specialist begins to run toward the man, ordering him to drop his phone. Sanborn tells Eldridge to shoot the man, who presses a sequence of numbers on the phone. The bomb detonates with Thompson still in the kill zone. The overpressure from the bomb kills Thompson despite the bomb suit; a large splash of blood hits the inside of the clear visor on his helmet.Thompson's body is packed into a coffin for shipment home, Sanborn supervises the procedure. He looks over Thompson's possessions for a few moments before the coffin is sealed. Back at the base, Eldridge is sitting in the rec room when the base psychologist, Lt. Col. Cambridge walks in and asks Eldridge how he's feeling (in the wake of Thompson's death). Eldridge is still clearly upset over the incident; he dry fires his rifle several times, suggesting that if he'd shot the man with the cell phone, Thompson might still be alive.A new leader for the team, Sgt. William James, arrives at the base. Sanborn meets him at his housing unit, where James is taking the plywood covers off his windows. When Sanborn suggests that James keep them on because of mortar shrapnel, James tells him that they won't be any good anyway if a mortar shell crashes in through the unit's roof.The next day the team responds to a report of another IED on a narrow street in the city. After the initial investigation, where they link up with the Army platoon that reported the bomb, James is dressed up in a suit similar to the one Thompson wore previously. As James approaches the bomb site, he tosses a smoke grenade, which agitates Sanborn, who can't see James to instruct him further. James also is uncommunicative with his team members, another factor that Sanborn does not appreciate. James finds an artillery shell buried under a small pile of trash. He disarms it easily, and then notices a secondary wire leading away from it. He uncovers the cable and finds it connects to a junction of six more cables. When James pulls on the junction connector, six more shells are uncovered. Another cable leads to a nearby building. James disarms the six new shells; as he does, he notices a man quickly leaving the building, presumably the bomber. James flashes one of the small detonators from one of the shells and smiles at the man, who vanishes from sight. Back at their Humvee, Sanborn tells James that he needs to communicate more during operations and not treat his duty as if it's a solo act. James brushes his teammate off. James does the same later when he and Sanborn talk while grooming themselves for another day's work in the latrine.The team is again called out for another bomb threat. This time, the bomb is in a car parked in front of a United Nations building. When the building is evacuated, James dons
Question: Who blames himself for the Colonel's death?
A: | eldridge | 9 | NIv2 | task469_mrqa_answer_generation | fs_opt | [
0.5278381705284119,
0.9608789682388306,
-0.40833336114883423,
-0.2784740924835205,
0.6324744820594788,
-0.314394474029541,
0.9382781386375427,
0.8620209097862244,
-0.2666281759738922,
0.7649363875389099,
-0.10954701155424118,
0.4993889331817627,
-0.2269497662782669,
0.4494064450263977,
-... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Example Input: Agra_Airport | elevationAboveTheSeaLevel_(in_metres) | 167.94
Agra_Airport | location | Uttar_Pradesh
Uttar_Pradesh | isPartOf | Awadh
Uttar_Pradesh | leaderName | Ram_Naik
Example Output: At 167.94 metres above sea level, Agra Airport is in Uttar Pradesh ( part of Awadh) where Ram Naik is the leader.
Example Input: Adisham_Hall | country | Sri_Lanka
Adisham_Hall | location | Haputale
Sri_Lanka | leaderName | Ranil_Wickremesinghe
Sri_Lanka | capital | Sri_Jayawardenepura_Kotte
Example Output: Adisham Hall is located in Haputale, Sri Lanka. The leader of Sri lanka is Ranil Wickremesinghe and the capital is Sri Jayawardenepura Kotte.
Example Input: Atlanta | isPartOf | Georgia_(U.S._state)
Example Output: | Atlanta, is a part of the U.S. state, Georgia.
| 3 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-0.3415089547634125,
0.44582194089889526,
-0.1754044145345688,
-1.0205564498901367,
-0.47196394205093384,
-0.49746179580688477,
0.42027008533477783,
0.021322887390851974,
-0.991696834564209,
-0.03053135611116886,
-0.8800690174102783,
1.0521585941314697,
-0.9433618783950806,
0.5680309534072... |
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context. The original ending is the last three sentences of the story. Also, you are given a new ending that can provide the new story with the same premise. You should write a counterfactual context to explain the small differences between the original and new endings. More specifically, a story context contains the general plot of the story. And a counterfactual context is a slight modification to the initial context. To sum up, you should write the second sentence of a story based on the premise(first sentence) and the new ending(last three sentences) of the story.
Let me give you an example: Premise: Brad stole the ball from the opponent.
Initial Context: While he was running with the ball, he noticed his friend.
Original Ending: He threw the ball in the air, near the hoop. His friend grabbed the ball and made a drunk. That score put his team in the lead.
New ending: He stopped dancing and threw the ball in the air, near the hoop. His friend grabbed the ball and made a drunk. That score put his team in the lead.
The answer to this example can be: While he was dancing with the ball, he noticed his friend.
Here is why: The answer is well in context with new ending and it is counterfactual to initial context.
OK. solve this:
Premise: Jeremy was awarded his first trophy.
Initial Context: His mom was proud of him and put the trophy in the living room.
Original Ending: Ryan, his brother, was happy to bring out all of his trophies. Ryan surrounded Jeremy's trophy with all of his to show off. Later that night Jeremy broke Ryan's Trophies and got in trouble.
New ending: Ryan, his brother, was happy find the trophy and display it. Ryan surrounded Jeremy's trophy pictures of winning the trophy. Later that night, Jeremy displayed Ryan's Trophies and got hugged.
Answer: | His mom was proud of him and hides the trophy in the living room. | 8 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.7294378280639648,
0.45525553822517395,
-0.08052872866392136,
0.21165010333061218,
0.34494316577911377,
-0.7095446586608887,
-0.3301222324371338,
1.0578250885009766,
-0.09193922579288483,
-0.42050743103027344,
-0.6939941644668579,
0.12575265765190125,
-0.3599097728729248,
-0.0050348676741... |
Detailed Instructions: The task is to generate the correct answer for a given math problem.
Problem:Problem: the ratio of the present age of sandy to that of molly is 9 : 2 . eight years from now , the ratio of the ages of sandy to molly will be 5 : 2 . what was sandy ' s age 6 years ago ?
Solution: | 21 | 8 | NIv2 | task1726_mathqa_correct_answer_generation | zs_opt | [
0.4851093292236328,
1.570197582244873,
-0.34663766622543335,
-1.3266534805297852,
-0.9711043834686279,
-0.5891427993774414,
-0.20280730724334717,
0.6749936938285828,
0.20977753400802612,
-0.7220855355262756,
-0.020421303808689117,
0.24258148670196533,
-0.5855884552001953,
0.152730926871299... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input list, and do the same for the numerical elements.
['Z', '3699', 'b', '117', 'R', 'D', '6799']
Z, b, R, D, 3699, 117, 6799
['D', 'P', '7505', 'Z', 'u', '3193', 'R', 'q', '2199', '9271', '8289', '8941', 'i', 'I', '3967', '6461', 'F', '5747', '5349', 'E', '9019', '9865', '4581', '8423', '8649', 'Q', 'o', '8085', '7383', 'i', 'a', 'T', 'S', '2559']
D, P, Z, u, R, q, i, I, F, E, Q, o, i, a, T, S, 7505, 3193, 2199, 9271, 8289, 8941, 3967, 6461, 5747, 5349, 9019, 9865, 4581, 8423, 8649, 8085, 7383, 2559
['R', '5409', 'l', '2509', '7277', '4507', 'K', 'N', '9687']
| R, l, K, N, 5409, 2509, 7277, 4507, 9687
| 0 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | fs_opt | [
0.377166211605072,
0.24157777428627014,
-0.205056831240654,
-0.4778994917869568,
-0.23483841121196747,
-0.021995458751916885,
0.9510834217071533,
0.4277312755584717,
-0.7484155893325806,
0.5122044086456299,
-0.5469790697097778,
-0.05487225949764252,
-0.34564173221588135,
0.1338438540697097... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
['3633', 'E', 'F', 'm', '7141', '7519', '4251', 'i', '4863', 'o', '7449']
Output: | 34856 | 1 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
0.21673455834388733,
0.14717787504196167,
-0.7272151708602905,
-0.8021201491355896,
-0.06750699877738953,
0.015894517302513123,
-0.1391592025756836,
0.09225604683160782,
-0.2561687231063843,
-0.14338158071041107,
-1.4253817796707153,
-0.10262777656316757,
0.15625764429569244,
-0.7884823083... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
--------
Question: PersonX leaves PersonY's mark
Answer: indifferent.
Question: PersonX changes PersonX's last name
Answer: calm
Question: PersonX loves PersonY's performance
Answer: | happy
| 7 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
0.14262862503528595,
0.8100765943527222,
-0.10828226804733276,
-0.8118772506713867,
-0.6501138210296631,
-0.7360295653343201,
1.7247133255004883,
0.48060303926467896,
0.26482996344566345,
-1.1146197319030762,
0.17084689438343048,
0.14532214403152466,
-0.8143408298492432,
0.5500370264053345... |
Given the task definition, example input & output, solve the new input case.
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.
Output: a
Marcus's reasons for buying khakis is established, followed by his purchase of them and reaction.
New input case for you: Sentence 1: Arthur wrote in his diary every single day. Sentence 2: One day he could not find his diary and looked everywhere. Sentence 3: Arthur even went back to school to find his diary. Sentence 4: Arthur could not sleep and he tried to remember where it was. Sentence 5: The next day, he found it in the lost and found at school. Choices: a. Shorts. b. Diary.
Output: | b | 1 | NIv2 | task220_rocstories_title_classification | fs_opt | [
-0.011892152950167656,
-0.13188856840133667,
-0.32454556226730347,
0.6156076192855835,
0.1536196619272232,
-0.285626083612442,
0.015045980922877789,
0.9423600435256958,
0.28015434741973877,
0.5451922416687012,
-0.6927058696746826,
0.03053923510015011,
-0.26579129695892334,
-0.1099952608346... |
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.
[EX Q]: 3, 5, ['g', '4461', 'G', 'M', 'q']
[EX A]: q, M, G
[EX Q]: 9, 11, ['9907', 'B', 'R', '6503', 'y', 'X', '1633', '4223', 'e', '5473', 'y', '7153', '6811', 'D', '6643', '753']
[EX A]: y, 5473, e
[EX Q]: 11, 20, ['T', '4803', 't', 'n', '1437', '2453', 'V', '1931', 'N', '1289', '6795', 'Z', '3683', 'h', '8657', 'B', 'K', 'O', 'c', '5453', 's', '4295', 'w', '2523', '1661', '6407', 'N', 'f', 'H', 'R']
[EX A]: | 5453, c, O, K, B, 8657, h, 3683, Z, 6795
| 6 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
-0.16784293949604034,
-0.30042386054992676,
-0.5551843643188477,
-0.370369017124176,
-0.28530192375183105,
-0.8150874376296997,
0.5466064214706421,
0.15320152044296265,
-0.5398192405700684,
0.10351671278476715,
-1.1190822124481201,
0.10849033296108246,
0.11392048001289368,
-0.0484537780284... |
Teacher:In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.
Teacher: Now, understand the problem? Solve this instance: [959, 384, -587, -187, 79, -617, -733, -989, 631, 863, 244, -531, 790, 328, -636, -965, -863, 99, -332, -799, 103, 769, 924, 171]
Student: | [959, -989, -636, 99, 171] | 6 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-1.402296543121338,
-0.03665730357170105,
0.17075975239276886,
-0.7154590487480164,
-0.3415120840072632,
0.504387378692627,
0.7614991068840027,
0.1461934745311737,
-0.5738561153411865,
0.09853664040565491,
-0.3964535892009735,
-0.23255503177642822,
-0.36692410707473755,
-0.0840415880084037... |
Teacher:In this task your given a passage in Catalan. you must ask a question in Catalan, that is relevant to the passage. A question that is constructed should be precise and based on factual information from the passage. A constructed question should be: (a) unambiguous (b) be directly answerable from the passage (c) have a unique answer (d) have an answer that is a continuous span of text from the passage. Try to avoid formulating questions that (a) can be answered without referring to the passage, or (b) use exactly the same words or questions given in the passage. Try to make the question fluent in the language used. You have to create exactly one question.
Teacher: Now, understand the problem? Solve this instance: Repetint molts cops el xifratge de Cèsar no dóna cap seguretat afegida. Això és degut al fet que dos xifratges, per exemple primer amb un decalatge de 3 i després amb un decalatge de 5, és equivalent a un únic xifratge de decalatge 3+5=8. En terminologia matemàtica, el xifratge repetit amb diferents claus forma un grup.[19]
Student: | Què no dóna cap seguretat afegida? | 6 | NIv2 | task836_viquiquad_question_generation | zs_opt | [
0.7325880527496338,
0.649953305721283,
-1.0994513034820557,
0.01508122868835926,
-0.2802371680736542,
-0.2502150535583496,
1.4980485439300537,
0.8853145837783813,
-0.7409210205078125,
-0.2796810567378998,
-0.6761876940727234,
-0.45844605565071106,
-0.6281743049621582,
0.026287373155355453,... |
In this task you are given a passage in Bulgarian as the input content. You are expected to generate a suitable title for the passage which accurately summarizes the contents of the passage. The input is provided in the form of a long passage comprising of multiple sentences. The output should be restricted to a maximum of 20 words which describe the passage and its contents. The output can include words from the passage.
Q: Content:Подготвят плажовете за предстоящия летен сезон 16.03.2017 12:40 Продължава работата по осигуряване на стопанисването на морските плажове за предстоящия летен сезон 2017 г. Подписани са нови договори за концесии на четири плажове - за „Свети Влас – Нов плаж“, „Обзор – юг“, „Къмпинг Оазис“, „Дюни – юг“. Това съобщиха от Министерството на туризма. [... ]
A: www.infotourism.net В Бургас набират кадри за предстоящия летен сезон
****
Q: Content:Не бъди безразличен, сподели новината с твоите приятели: Голям пожар гори край главен път Е-79 в района на село Мурсалево. Пламъците са погълнали лозя и овощни градини. До момента 5-6 екипа пожарникари вече са пристигнали на мястото и се борят с огъня, съобщава бТВ. Пламъците тръгнал от 2 места и има фронт от около километър. На мястото работят и доброволци от село Кочериново. Силен вятър затруднява противопожарните дейности. Пожарът е избухнал около 15:00 ч. днес и е обхванал района от изхода на Мурсалево в посока Дупница – до разклона за Бобошево и Смочево. Хората от селото се притесняват, че огънят може да стигне до къщите им. Източник: inews.bg КоментариНе бъди безразличен, сподели новината с твоите приятели:
A: Пожар гори край Мурсалево | Informiran.net
****
Q: Content:Снимка: Криптовалутата, в т.ч. и биткойнът, от днес са официално платежно средство в Япония, предаде ТАСС, цитирана от БНР. В закона
A: | Биткойнът стана официално платежно средство в Япония :: RegNews.NET
****
| 4 | NIv2 | task1561_clickbait_new_bg_summarization | fs_opt | [
0.058043334633111954,
0.0575118251144886,
-0.13905560970306396,
-0.5677891373634338,
0.04338899999856949,
-0.7664121389389038,
0.16335326433181763,
1.636788010597229,
-0.5649130940437317,
-0.15808652341365814,
0.07861590385437012,
0.7737202644348145,
-0.07469309866428375,
0.414131283760070... |
Detailed Instructions: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Problem:Sentence: 'a little boy wearing a bib eating a doughnut'. Is 'eating' the longest word in the sentence?
Solution: | No | 8 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.2529173195362091,
0.4395308494567871,
0.31803345680236816,
-0.06871558725833893,
-0.65122389793396,
-0.3602207899093628,
0.20625145733356476,
0.2662130892276764,
-0.31173771619796753,
-0.40974515676498413,
-0.18805590271949768,
-0.2910268008708954,
-0.12988066673278809,
-0.1237850040197... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Input: Consider Input: The police were looking for Neil and not Nelson, by reason that _ was an unwanted person. (A) Neil (B) Nelson
Output: B
Input: Consider Input: Nick had a lot more money than Michael because _ had a much better job in life. (A) Nick (B) Michael
Output: A
Input: Consider Input: The man chose to create a painting and not a sculpture because _ suits his tastes at the moment. (A) painting (B) sculpture
| Output: A
| 2 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
-0.43013274669647217,
0.4706648886203766,
0.6003365516662598,
0.1541905552148819,
0.012812990695238113,
-0.4891684651374817,
0.23629099130630493,
0.5328772068023682,
0.7178224921226501,
0.667502760887146,
0.5144304633140564,
-0.10809864848852158,
0.17669501900672913,
-0.3076346516609192,
... |
Definition: 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".
Input: Abstract: Several lines of evidence suggest a role for the gut microbiome in type 1 diabetes. Treating diabetes-prone rodents with probiotics or antibiotics prevents the development of the disorder. Diabetes-prone rodents also have a distinctly different gut microbiome compared with healthy rodents. Recent studies in children with a high genetic risk for type 1 diabetes demonstrate significant differences in the gut microbiome between children who develop autoimmunity for the disease and those who remain healthy. However, the differences in microbiome composition between autoimmune and healthy children are not consistent across all studies because of the strong environmental influences on microbiome composition, particularly diet and geography. Controlling confounding factors of microbiome composition uncovers bacterial associations with disease. For example, in a human cohort from a single Finnish city where geography is confined, a strong association between one dominant bacterial species, Bacteroides dorei, and type 1 diabetes was discovered (Davis-Richardson et al. Front Microbiol 2014;5:678). Beyond this, recent DNA methylation analyses suggest that a thorough epigenetic analysis of the gut microbiome may be warranted. These studies suggest a testable model whereby a diet high in fat and gluten and low in resistant starch may be the primary driver of gut dysbiosis. This dysbiosis may cause a lack of butyrate production by gut bacteria, which, in turn, leads to the development of a permeable gut followed by autoimmunity. The bacterial community responsible for these changes in butyrate production may vary around the world, but bacteria of the genus Bacteroides are thought to play a key role.. Title: A model for the role of gut bacteria in the development of autoimmunity for type 1 diabetes
Output: | yes | 2 | NIv2 | task1587_scifact_classification | zs_opt | [
0.137103870511055,
0.20601749420166016,
-0.8412752151489258,
0.11240595579147339,
0.5413240194320679,
-0.21218696236610413,
-0.06981100887060165,
0.8575609922409058,
-0.21063944697380066,
0.45005789399147034,
-0.6495421528816223,
0.5038956999778748,
-0.6098495721817017,
0.03296807408332825... |
Q: You are given a math word problem and you are supposed to only use multiplication or division operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Context: Paige was helping her mom plant flowers and together they planted 55 seeds. They put 15 seeds in each flower bed and only 60 seeds grew into flowers in each flower bed.
Question: How many flowers did they grow?
A: | 220 | 7 | NIv2 | task752_svamp_multiplication_question_answering | zs_opt | [
-0.25135815143585205,
0.2862361967563629,
-0.18845228850841522,
0.02275272086262703,
-0.058649417012929916,
-0.481071412563324,
0.47844254970550537,
1.099395990371704,
-0.061793260276317596,
0.25432223081588745,
-0.833245038986206,
-0.31840503215789795,
-0.5548022985458374,
0.1038636788725... |
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