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 |
|---|---|---|---|---|---|---|
TASK DEFINITION: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
PROBLEM: (ﺿﺤﻜﺎﺕ) ﻣﻦ ﺍﻟﻨﺎﺩﺭ ﺟﺪﺍ ﺍﻥ ﻳﻨﺘﻘﻞ ﺍﻟﺴﺮﻃﺎﻥ ﺑﻴﻦ ﺍﻟﺒﺸﺮ
SOLUTION: (خنده ی حاضرین) احتمالا این خیلی نادره سرطانها که بین آدمها منتقل بشن.
PROBLEM: وحوالي نفس الوقت ، وأعتقد جزئياً بسبب ذلك ، بدأت في عمل شئ أعتقد أنني نسيته في أعمالي. بدأت القرأة مجدداً.
SOLUTION: و تقریبا در همان وقت ها بود ؛ بعضی وقت ها به آن فکر می کنم ، من شروع به انجام کاری کردم که به خاطر مشغله ی کاری فراموش کرده بودم: من دوباره شروع کردم به مطالعه کردن.
PROBLEM: ثم لف ذلك الملصق — تعرفون ما أقصده.
SOLUTION: | بعد هم گلوله کردنِ اون برچسب — میدونین منظورم چیه.
| 8 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.23381057381629944,
0.4789363443851471,
-0.23394054174423218,
-0.662738561630249,
-0.9807066321372986,
0.5263420939445496,
1.3461151123046875,
0.2886406183242798,
0.28802311420440674,
-0.15912270545959473,
-1.2180302143096924,
0.2878251075744629,
-0.5821860432624817,
0.9197534322738647,
... |
Detailed Instructions: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
See one example below:
Problem: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He formulate a machine?
Solution: Answerable
Explanation: He formulated a machine learning algorithm to process words.
Problem: I had a rabbit named Thumper. She lived in the basement of our house. One day, I discovered that she had died in her cage. I was completely heartbroken. I never got anymore rabbits after this.
Why did She live in the basement of our house?
Solution: | Not Answerable | 4 | NIv2 | task290_tellmewhy_question_answerability | fs_opt | [
-0.12882989645004272,
-0.057137612253427505,
0.4097253680229187,
0.5034985542297363,
-0.0721094161272049,
-0.8683709502220154,
0.2764589190483093,
0.503467857837677,
0.2669377326965332,
0.2842589020729065,
-0.7038981914520264,
0.11762216687202454,
-0.17667123675346375,
0.21088078618049622,... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Q: آیا براى ایشان بس نیست که این کتاب را که بر آنان خوانده مىشود بر تو فرو فرستادیم؟ در حقیقت، در این [کار] براى مردمى که ایمان دارند، رحمت و یادآورى است.
A: | Is it not sufficient for them that We have revealed the Book to you which is read out to them? It is indeed a grace and reminder for people who believe. | 4 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.838820219039917,
0.7949388027191162,
0.059425368905067444,
-0.19220136106014252,
-0.43239253759384155,
-1.03445303440094,
1.7484540939331055,
-0.10536684095859528,
0.5980319976806641,
-0.49591273069381714,
-0.5717177987098694,
0.8100091218948364,
-0.6477326154708862,
1.0942212343215942,... |
Part 1. Definition
In this task, given a sentence in English Tokens, your task is to convert it into the English language
Part 2. Example
The adult literacy program Read Santa Clara marked its tenth anniversary today with a gathering of program participants , staff , and supporters from the community .
Answer: The adult literacy program Read Santa Clara marked its tenth anniversary today with a gathering of program participants, staff, and supporters from the community.
Explanation: The above sentence is correctly translated from English Tokens to English
Part 3. Exercise
These people are incapable of running the NSBIH properly , although this situation is partly a result of political orders because Bosnia is an ethnically divided country where a dysfunctional system has now caught up with football .
Answer: | These people are incapable of running the NSBIH properly, although this situation is partly a result of political orders because Bosnia is an ethnically divided country where a dysfunctional system has now caught up with football. | 7 | NIv2 | task547_alt_translation_entk_en | fs_opt | [
0.7117153406143188,
0.4477090835571289,
0.6595120429992676,
-0.038941849023103714,
0.31901857256889343,
-0.38738110661506653,
0.447611540555954,
0.45326054096221924,
0.5167583227157593,
0.22274845838546753,
-0.20384450256824493,
-0.016459720209240913,
-0.6997404098510742,
-0.09210506081581... |
Part 1. Definition
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Your sentence should be grammatically and syntactically correct. Also stick to the context of the given story. For example, if the story talks about "doctors", you can talk about "health" or "diagnosis", but don't mention "aliens". Avoid introducing any extra/irrelevant information, and use names instead of pronouns (e.g. he / she) wherever possible. Avoid simply negating the original middle, for example: "She likes cakes." is changed to "She doesn't like cakes."
Part 2. Example
Beginning: Lauren finished her late night shift at the bar feeling tired. Middle: Lauren took a long hot bath when she got home. Ending: Lauren's husband was glad to see her feeling refreshed.
Answer: Lauren's husband took a long hot bath when he got home.
Explanation: If a person takes a bath, another person's tiredness is not reduced.
Part 3. Exercise
Beginning: Ms Jones' Kindergarten class watched caterpillars spin cocoons. Middle: They incubated the cocoons. Ending: Eventually they all hatched and the class set them all free.
Answer: | They did not incubated the cocoons. | 7 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.23806002736091614,
0.5544310808181763,
-0.4652371406555176,
-0.00996399112045765,
0.0532054603099823,
-0.0892101377248764,
0.1193840354681015,
0.23516729474067688,
-0.3686009347438812,
-0.36186379194259644,
-0.2552221417427063,
0.28450149297714233,
-0.5720216035842896,
-0.412058472633361... |
Given the task definition and input, reply with output. Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Category: window material
Words: frame, lead, dish, handle, glass
| dish | 5 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
-0.5717830061912537,
0.85365891456604,
0.06395754218101501,
0.0002894073259085417,
0.02303696610033512,
0.16723713278770447,
-0.12728102505207062,
0.22870710492134094,
0.1329096257686615,
0.011293640360236168,
-0.5109157562255859,
-0.3776978850364685,
-0.5021135807037354,
0.378997355699539... |
You need to read the given passage and construct a question about the information present in the passage. The question should be answerable from the passage. Most importantly, only those questions are allowed whose answers cannot be determined from a single sentence. Do not generate questions that require only a single sentence to answer. Instead, try to combine two sentences and create a question from that combination. Do not create open-ended questions, i.e., the answers to them cannot be found precisely from the information provided in the passage.
Q: Paragraph- Sent 1: The district attorney ran his finger briskly down a printed card.
Sent 2: "Henry Spear," he exclaimed, "that's your man.
Sent 3: Part Three, Judge Fallon.
Sent 4: Andrews is in that court." He walked to the door of his private office.
Sent 5: "Andrews!" he called.
Sent 6: He introduced an alert, broad-shouldered young man of years of much indiscretion and with a charming and inconsequent manner.
Sent 7: "Mr. Thorndike is interested in Henry Spear, coming up for sentence in Part Three this morning.
Sent 8: Wants to speak for him.
Sent 9: Take him over with you." The district attorney shook hands quickly, and retreated to his private office.
Sent 10: Mr. Andrews took out a cigarette and, as he crossed the floor, lit it.
Sent 11: "Come with me," he commanded.
Sent 12: Somewhat puzzled, slightly annoyed, but enjoying withal the novelty of the environment and the curtness of his reception, Mr. Thorndike followed.
Sent 13: He decided that, in his ignorance, he had wasted his own time and that of the prosecuting attorney.
Sent 14: He should at once have sent in his card to the judge.
Sent 15: As he understood it, Mr. Andrews was now conducting him to that dignitary, and, in a moment, he would be free to return to his own affairs, which were the affairs of two continents.
Sent 16: But Mr. Andrews led him to an office, bare and small, and offered him a chair, and handed him a morning newspaper.
Sent 17: There were people waiting in the room; strange people, only like those Mr. Thorndike had seen on ferry-boats.
Sent 18: They leaned forward toward young Mr. Andrews, fawning, their eyes wide with apprehension.
Sent 19: Mr. Thorndike refused the newspaper.
Sent 20: "I thought I was going to see the judge," he suggested.
A: | Who did Thorndike think that Andrews was taking him to see? | 4 | NIv2 | task048_multirc_question_generation | zs_opt | [
0.1769898235797882,
0.9398332834243774,
-0.5602249503135681,
-0.2512732446193695,
0.21618318557739258,
-1.239284634590149,
0.3584960401058197,
0.3603469729423523,
0.6056471467018127,
0.27261868119239807,
-0.3232206106185913,
0.5050538778305054,
-0.8587568998336792,
0.02516809105873108,
-... |
Detailed Instructions: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Q: Even though this item is listed under the Gluten free category, it is not. The ingredients state that it contains wheat protein. Do not order this if you need GF food. Bad reviewing by Amazon!
Polarity: Negative
A: | True | 9 | NIv2 | task587_amazonfood_polarity_correction_classification | zs_opt | [
-0.8080024123191833,
-0.12780702114105225,
0.5659976005554199,
-0.5440282821655273,
0.04961121827363968,
-0.9354540109634399,
0.44073864817619324,
0.3221069574356079,
0.27042970061302185,
-0.0008649241644889116,
-0.7763760089874268,
-0.14085575938224792,
-0.23335441946983337,
-0.2844493389... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
[Q]: الآن, ما فعله لم يعتاد أن يطلق إسم عليه لكني أعتقد إنها تحولت بسرعة وأصبحت موائمة للجميع.
[A]: 当時は名前も無かった彼の行動が今一気に注目を集め始めている
[Q]: والحقن أمر قيّم للغاية ، حتى أن الناس يثقون في الأساس بالطبيب ، كونه قريب من الخالق ، ما سمعته في كثير من الأوقات ، ليفعل الشئ الصحيح. لكن في الواقع ليسوا كذلك.
[A]: 注射は非常に貴重で人々は神の次に医者が正しい事をすると信頼していると何度も聞きましたしかし実際にはそうではありません
[Q]: لذا وددت أن أريكم شيئاَ
[A]: | そこでお見せしたいものがあります
| 5 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
0.1079263836145401,
0.3575487732887268,
-0.29456406831741333,
-0.5477546453475952,
-0.387888640165329,
-0.4782722294330597,
1.255875587463379,
0.10405543446540833,
0.441478431224823,
-0.5874066948890686,
-0.5324069261550903,
0.4532824158668518,
-0.7952588796615601,
0.24817031621932983,
0... |
Q: Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
Young bees spend the first ____ to three weeks of their lives carrying out functions within the hive.\Question: Choose the right answer from options given a) four b) five c) six d) one
A: | d | 7 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | zs_opt | [
0.17257487773895264,
0.7213122248649597,
-1.0476784706115723,
-0.35201096534729004,
-0.47929590940475464,
-0.9364592432975769,
-0.09857072681188583,
1.048054575920105,
-0.18048636615276337,
0.37148743867874146,
-0.3453497886657715,
-0.49026402831077576,
-0.34095877408981323,
-0.10420650243... |
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
[Q]: Este chico quiere tocar buena música.
[A]: Este chico quiere gritar buena música.
[Q]: El tronco de un ganso puede ser tortuga del sur.
[A]: La profundidad de un polo puede mirar hacia el sur.
[Q]: Si usted desea aplicar un curso entonces usted debe entrenar al constructor del curso.
[A]: | Si usted corre para pasar un curso entonces usted debe explorar la velocidad del curso.
| 5 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.25930753350257874,
0.6586771011352539,
-0.33931028842926025,
-0.2715281546115875,
-0.025068707764148712,
-0.7698001861572266,
0.39545172452926636,
1.5755364894866943,
-0.16431590914726257,
-0.4214547574520111,
-0.20295870304107666,
-0.47339367866516113,
-0.3978436589241028,
0.0854895114... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sentences that contain no information that is necessary to answer the question). Sort the sentence numbers in an increasing order (i.e., '1, 2', instead of '2, 1'). Your answer should not contain anything than the sentence numbers separated by a comma (e.g. '1, 2, 3, 4'). The given question requires more than one sentence to answer. So, your answer must contain at least one comma (", ").
--------
Question: Paragraph- Sent 1: The year is 1980 , and the film opens with the launch of the JX-1 Hayabusa spaceship into outer space .
Sent 2: The ship , originally sent to collect data on Saturn , has its course diverted to investigate the mysterious star Gorath , reported as being 6000 times the size of the Earth .
Sent 3: It is feared that the star 's path could come dangerously close to Earth .
Sent 4: The JX-1 reaches locates Gorath and it 's much smaller than earth but with 6000 times the gravity .
Sent 5: The JX-1 radio 's back any data about the star but gets sucked into the star 's gravitational field which drags the ship into Gorath , incinerating it .
Sent 6: Japan and the rest of the world are stunned by the discovery and , after some reluctance , send up the JX-2 Ootori spaceship for a voyage to investigate Gorath .
Sent 7: The United Nations band together to discover a solution to the problem , and decide that their only solutions are to either destroy Gorath or move the planet out of the way .
Sent 8: Back on Earth , the UN decides on the plan to move the Earth out of the way of Gorath , the South Pole Operation .
Sent 9: The plan is to have atomic energy channeled through huge atomic furnaces 500 meters below the surface , then fed though enormous pipes called thrusters which will all fire in unison .
Sent 10: But for this to work they will need an area 600 kilometers producing an atomic force equal to that of 6,600,000,000 megatons to move the Earth 400,000 kilometers way from Gorath .
Sent 11: This massive project meets some setbacks such as cave-ins , but presses on .
Question: What is the name of the first spaceship and what happens to it?.
Answer: 1, 4, 5.
Question: Paragraph- Sent 1: (CNN) -- Guatemala's government has declared a state of siege and sent hundreds of troops to a northern province where officials say a Mexican drug gang is overtaking towns and threatening residents.
Sent 2: President Alvaro Colom announced the 30-day emergency rule in Alta Verapaz on Sunday.
Sent 3: The rule allows the military to order anyone suspected of conspiring against the government to be arrested and imprisoned without a warrant, the state-run AGN news agency said.
Sent 4: "Starting today, combined forces will retake the streets of Alta Verapaz," a government statement released Sunday morning said.
Sent 5: Government data shows cells of the drug gang known as Los Zetas are in the area to protect drug trafficking paths between Honduras and Mexico, "intimidating the population with their heavy weapons and threatening farmers to give up their land for criminal activities," AGN reported.
Sent 6: The state of siege also allows the government to place greater restrictions on public gatherings, travel visas and gun licenses, among other things, according to AGN.
Sent 7: "The population should be calm.
Sent 8: What we are doing is not intended to persecute honest, working people," Interior Minister Carlos Menocal told reporters.
Sent 9: Menocal said operations in the coming days would aim to boost regional security, regain control of territory, identify criminal gangs and capture their members.
Sent 10: In an interview with CNN en Espanol last month, Menocal said his country needed more help from the United States to combat cartels, which were increasingly carving out new drug transport paths.
Sent 11: "In the end, the large majority of drugs travel through Central America, and the assignment of resources or the financial support of the United States government is not the same as Colombia and Mexico receive," he said.
Sent 12: Menocal said clashes between authorities and Los Zetas had notably increased.
Question: Guatemala is located between which two countries?.
Answer: 1, 5.
Question: Paragraph- Sent 1: The "visual of a billboard and a narration" is viewed by you as evidence that Moore is trying to somehow tie the two events together, when in reality, it is quite obvious that he does it to separate the introduction of Heston from his speech in Denver.
Sent 2: Moore is a professional filmmaker -- he concentrates on maximum impact of each of the statements he cites, and to accomplish that effect, uses subtle interludes instead of long-winded introductions.
Sent 3: This is a common technique, but because conservative readers are not familiar with the basics of filmmaking, they believe critics who claim that he is "distorting" the interview.
Sent 4: What he does is standard filmmaking practice.
Sent 5: The same goes for the interview which follows.
Sent 6: Moore's critics would expect us to have him quote Heston in his entirety, have him present fully the PR that the NRA has used to justify its rally in Denver for reasons of "balance".
Sent 7: The NRA was fully aware of the scandal it would cause through its rally and decided to push on because they believed to have enough media support to successfully do so.
Sent 8: They were right.
Sent 9: You claim that there was "no way to change location, since you have to give advance notice of that to the members, and there were upwards of 4,000,000 members."Sent 10: 10 days are more than enough to give advance warning of a change in location or date, had the NRA really wanted to.
Sent 11: It is probably correct that their primary reason for not doing so was to save money, not to piss off the victims of Colubmine.
Sent 12: That does not change the fact that they did just that.
Sent 13: Moore presents the most important part of the speech to back up this point and ignores the fluff.
Sent 14: This is what good documentary filmmaking is about.
Sent 15: And here the critics again ignore important evidence: When Heston mentions the mayor of Denver, the crowd boos loudly.
Sent 16: Heston maganimously holds up a hand to read the mayor's letter (only to explain in detail why he chose to ignore the request -- not mentioning at all the reasons you have given!).
Sent 17: This booing by the crowd, not mentioned with a single word in your transcript or your article, shows that the crowd was fully aware of the controversy they would cause by coming to Littleton after children were being killed there -- and they effectively said "Fuck you".
Sent 18: To say that they could not have done otherwise is a bold lie by Moore's critics.
Question: Did the NRA have the support of the media?.
Answer: | 7, 8.
| 7 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
0.12606003880500793,
0.26878324151039124,
-0.46934735774993896,
-0.6554422378540039,
0.34558963775634766,
-0.3752332031726837,
0.6839877367019653,
0.849607527256012,
-0.47998881340026855,
-0.19781342148780823,
-0.927087664604187,
0.23168796300888062,
-0.6896669268608093,
-0.211321145296096... |
instruction:
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
question:
Article: crude oil prices surged above ### dollars a barrel in new york monday , lifted by a declining dollar amid a us government financial bailout and supply worries in nigeria and the gulf of mexico . Title: new york crude oil surges past ### dlrs a barrel
answer:
yes
question:
Article: tanzania has has banned all chinese milk products to safeguard against poisoning by the toxic industrial chemical melamine , a statement said saturday . Title: tanzania bans all chinese milk products
answer:
yes
question:
Article: new zealand share prices rallied wednesday , rising #.## percent after the us federal reserve moved to bail out insurer american international group . Title: un human rights envoy to cambodia resigns
answer:
| no
| 9 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.549392580986023,
0.38312453031539917,
-0.16796785593032837,
0.18919870257377625,
-0.362515389919281,
0.09191180765628815,
0.07183919101953506,
0.6133482456207275,
-0.014377130195498466,
0.3011883497238159,
-0.22322216629981995,
-0.5519924163818359,
-1.0133190155029297,
-0.06422433257102... |
Given the task definition and input, reply with output. You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Harry feels disappointed.
| male | 5 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.4289478659629822,
0.6508786678314209,
-0.13280488550662994,
-0.6234807372093201,
-0.149916410446167,
-0.43819159269332886,
0.13491752743721008,
0.1894604116678238,
0.6454521417617798,
-0.2150435447692871,
-1.2726714611053467,
-0.039958406239748,
-0.1792314201593399,
-0.0989907830953598,... |
Detailed Instructions: Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Problem:tongueless
Solution: | tongued | 8 | NIv2 | task1508_wordnet_antonyms | zs_opt | [
0.30056047439575195,
1.798870325088501,
0.8449752926826477,
-0.4647158980369568,
-0.3013336658477783,
-0.8671177625656128,
-0.04015441611409187,
0.5499634146690369,
0.13591167330741882,
-0.6994737386703491,
-0.9860438108444214,
-0.9161654710769653,
-1.3984851837158203,
-0.16119185090065002... |
Detailed Instructions: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
Q: Many species belonging to the genus Colletotrichum cause anthracnose disease on a wide range of plant species. In addition to their economic impact, the genus Colletotrichum is a useful model for the study of the evolution of host specificity, speciation and reproductive behaviors. Genome projects of Colletotrichum species have already opened a new era for studying the evolution of pathogenesis in fungi.', 'We sequenced and annotated the genomes of four strains in the Colletotrichum acutatum species complex (CAsc), a clade of broad host range pathogens within the genus. The four CAsc proteomes and secretomes along with those representing an additional 13 species (six Colletotrichum spp. and seven other Sordariomycetes) were classified into protein families using a variety of tools. Hierarchical clustering of gene family and functional domain assignments, and phylogenetic analyses revealed lineage specific losses of carbohydrate-active enzymes (CAZymes) and proteases encoding genes in Colletotrichum species that have narrow host range as well as duplications of these families in the CAsc. We also found a lineage specific expansion of necrosis and ethylene-inducing peptide 1 (Nep1)-like protein (NLPs) families within the CAsc.
A: | Are gene family expansions and contractions associated with host range in plant pathogens of the genus Colletotrichum? | 9 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.7737609148025513,
0.08780873566865921,
-0.6557761430740356,
0.16805624961853027,
0.2898526191711426,
-0.3712036609649658,
0.6335225701332092,
0.7098446488380432,
0.14449307322502136,
0.24185341596603394,
-0.3159007728099823,
0.3465193510055542,
-1.0783060789108276,
0.0006311233155429363,... |
Detailed Instructions: In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it will be labeled as 'Favor' also if the tweets state information or news rather than stating opinion then it will be characterized as 'Neutral'.
Q: Tweet: Acte de commemoració dels 30 anys del #CNDC Consell Nacional de les #Dones de #Catalunya amb la presència de @EugeniaBretones i Nelly Palacios, de la comissió @ColpisGenere. Felicitats @icdones❗️ #sororitat #dretsdelesdones https://t.co/mbHWI4gJ0s
A: | Neutral | 9 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | zs_opt | [
-0.3482641577720642,
0.3060326874256134,
-0.25815168023109436,
0.5527863502502441,
-0.13375285267829895,
-1.1698532104492188,
0.18052923679351807,
0.841010332107544,
0.5159738063812256,
0.6447260975837708,
-0.20823971927165985,
-0.010575165040791035,
-0.040365613996982574,
-0.2363758087158... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn the fact into a question - easy! Don't just randomly remove a word from the given fact to form a question. Remember that your question must evaluate scientific understanding. Pick a word or a phrase in the given fact to be the correct answer, then make the rest of the question. You can also form a question without any WH words. For example, "A radio converts electricity into?"
Let me give you an example: Fact: pesticides can harm animals.
The answer to this example can be: What can harm animals?
Here is why: It's a good question because it is formed by simply replacing the word "pesticides" with "what".
OK. solve this:
Fact: cats require water for survival.
Answer: | what requires water for survival? | 8 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.40128543972969055,
1.1781773567199707,
-0.1885707676410675,
0.08580891788005829,
-0.6073331236839294,
-1.1736605167388916,
0.4475909471511841,
0.7299703359603882,
0.03195200860500336,
-0.3589577078819275,
-1.4844744205474854,
0.39910823106765747,
-0.5872642397880554,
-0.02352083101868629... |
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "date", "number". A "span" answer is a continuous phrase taken directly from the passage or question. You can directly copy-paste the text from the passage or the question for span type answers. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words. A "number" type answer can include a digit specifying an actual value. For "date" type answers, use DD MM YYYY format e.g. 11 Jan 1992. If full date is not available in the passage you can write partial date such as 1992 or Jan 1992. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words.
Passage: Many of the migrants from China in the 19th century came to work on the pepper and Uncaria gambir plantations, with 11,000 Chinese immigrants recorded in one year. Singapore became one of the entry and dispersal points for large number of Chinese and Indian migrants who came to work in the plantations and mines of the Straits Settlements, many of whom then settled in Singapore after their contract ended. By 1860, the total population had reached around 90,000, of these 50,000 were Chinese, and 2,445 Europeans and Eurasians. The first thorough census in Singapore was undertaken in 1871, and the people were grouped into 33 racial, ethnic or national categories, with Chinese forming the largest group at 57.6%. Censuses were then conducted at 10 year intervals afterwards. The 1881 census grouped the people into 6 main categories, and further subdivided into 47 sub-categories. The 6 broad groups were given as Europeans, Eurasians, Malays, Chinese, Indians and Others in 1921. The Malays group includes other natives of the Malay archipelago, the Europeans include Americans, the Indians would be people from the Indian subcontinent including what would now be Pakistan and Bangladesh. In 1901, the total population of Singapore was 228,555, with 15.8% Malays, 71.8% Chinese, 7.8% Indians, and 3.5% Europeans and Eurasians. The Chinese population figure of Singapore has stayed at over 70% of the total since, reaching 77.8% in 1947. After dropping from a peak of 60% in the early years of Singapore, the Malay population would range between 11 and 16% in the first half of the 20th century, while Indians hovered between 7 and just over 9% in the same period.
Question: How many in percent in 1901 Singapore wasn't Chinese?
Answer type: Number
28.2.
Passage: The total population in sub-Saharan Africa is projected to increase to almost one billion people, making it the most populated region outside of South-Central Asia. According to the United Nations, the population of Nigeria will reach 411 million by 2050. Nigeria might then be the 3rd most populous country in the world. In 2100, the population of Nigeria may reach 794 million. While the overall population is expected to increase, the growth rate is estimated to decrease from 1.2 percent per year in 2010 to 0.4 percent per year in 2050. The birth rate is also projected to decrease from 20.7 to 13.7, while the death rate is projected to increase from 8.5 in 2010 to 9.8 in 2050. List of countries by life expectancy is all expected to increase from 67.0 years in 2010 to 75.2 years in 2050. By 2050 the percent of the population estimated to be living in urban areas is 69.6% compared to the 50.6% in 2010.
Question: By how many percentage points is the death rate projected to increase from 2010 to 2050?
Answer type: Number
1.3.
Passage: Coming off their home win over the Buccaneers, the Packers flew to Ford Field for a Week 12 Thanksgiving duel with their NFC North foe, the Detroit Lions. After a scoreless first quarter, Green Bay delivered the game's opening punch in the second quarter with quarterback Aaron Rodgers finding wide receiver Greg Jennings on a 3-yard touchdown pass. The Packers added to their lead in the third quarter with a 1-yard touchdown run from fullback John Kuhn, followed by Rodgers connecting with wide receiver James Jones on a 65-yard touchdown pass and a 35-yard field goal from kicker Mason Crosby. The Lions answered in the fourth quarter with a 16-yard touchdown run by running back Keiland Williams and a two-point conversion pass from quarterback Matthew Stafford to wide receiver Titus Young), yet Green Bay pulled away with Crosby nailing a 32-yard field goal. Detroit closed out the game with Stafford completing a 3-yard touchdown pass to wide receiver Calvin Johnson. With the win, the Packers acquired their first 11-0 start in franchise history, beating the 1962 team which started 10-0 and finished 14-1 including postseason play. Rodgers (22/32 for 307 yards, 2 TDs) was named NFL on FOX's 2011 Galloping Gobbler Award Winner.
Question: How many points were scored in the first quarter?
Answer type: Number
| 0.
| 0 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.1788967102766037,
0.3445977568626404,
-0.5957469940185547,
0.14695250988006592,
0.527603805065155,
-0.012039855122566223,
0.9788779020309448,
0.32219481468200684,
-0.1664198338985443,
0.37921881675720215,
-0.3754534125328064,
0.7928274869918823,
-0.7898116111755371,
0.4184337854385376,
... |
instruction:
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
question:
Sentence-1: Well, my ears are still bleeding if that is any indication.<sep>Sentence-2: I have heard the latest Selena Gomez song .
answer:
Yes
question:
Sentence-1: I have a Kindle that I take with me when I travel.<sep>Sentence-2: I read books on an eReader .
answer:
Yes
question:
Sentence-1: that would be good<sep>Sentence-2: I want to try something creative .
answer:
| Yes
| 9 | NIv2 | task566_circa_classification | fs_opt | [
-0.350390762090683,
0.3660753071308136,
-0.13731876015663147,
0.025053899735212326,
0.5392987132072449,
-0.5936790108680725,
0.3667098879814148,
0.4445711374282837,
-0.45588943362236023,
0.04607490450143814,
0.535530686378479,
-0.5008293390274048,
-0.3759007453918457,
-0.2616967558860779,
... |
Instructions: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For that you can use the Context; however, Context is not provided in all the inputs. Also, in some inputs, there can be zero emotion; for that return 'None'.
Input: Context: I had a girlfriend who was very petite and skinny.
Sentence: I did not think she was athletic at all.
Character: People
Output: | None | 3 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
-0.5976607799530029,
0.5400000214576721,
-0.17186111211776733,
-0.6653903126716614,
0.23207232356071472,
-0.33158308267593384,
0.8315709829330444,
0.3600803017616272,
0.3927173614501953,
-0.2913700342178345,
-0.23078767955303192,
-0.10048652440309525,
-0.1961282193660736,
0.077378988265991... |
Given the task definition and input, reply with output. In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the index of first word is 1.
A person brushing their hair with a Efron Zac brush
| (8, 9) | 5 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.5430278778076172,
0.682565450668335,
0.10661143064498901,
-0.7192525863647461,
0.2167646884918213,
-0.38234302401542664,
0.5523993968963623,
0.19044655561447144,
0.37052154541015625,
-0.13149337470531464,
-0.44660240411758423,
-0.04988700896501541,
-0.2398321032524109,
-0.01594388484954... |
Teacher: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
In the beginning God created the heaven and the earth.
Solution: در ابتدا، خدا آسمانها و زمین را آفرید.
Reason: This is a good example. The above sentence is correctly translated from English to Persian.
Now, solve this instance: And if a man smite his servant, or his maid, with a rod, and he die under his hand; he shall be surely punished.
Student: | واگر اذیتی دیگر حاصل شود، آنگاه جان به عوض جان بده. | 2 | NIv2 | task655_bible_en_fa_translation | fs_opt | [
-0.2503772974014282,
1.3642395734786987,
-0.33409383893013,
-0.4671483039855957,
-0.17124266922473907,
-0.8770089149475098,
1.0130548477172852,
0.8114925622940063,
0.35579586029052734,
0.9638233184814453,
-0.18692301213741302,
0.010618207976222038,
-0.7479565739631653,
-0.2926403880119324,... |
TASK DEFINITION: In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on the label and the premise sentence. Your sentence should be fluent and grammatically correct. Even though there exist multiple answers, we only need a single answer.
PROBLEM: Premise: از زمان آغازناآرامی های منطقه درسال ۲۰۰۶ تاکنون، حدود ۲۰۰ کارگرنفتی خارجی و بسياری ازشهروندان نيجريه درمنطقه دلتای نيجر ربوده شده اند. <sep> Label: Contradiction
SOLUTION: نخستين باراست که يک کودک خارجی ربوده می شود.
PROBLEM: Premise: آب چندین چشمهٔ بزرگ "دث ولی" از سفرۀ آب محلی تأمین میشود، که از شرق تا جنوب نوادا و یوتا کشیده شده است. <sep> Label: Entailment
SOLUTION: سفره های آب محلی آب چشمه های زیادی را در نوادا تامین میکنند.
PROBLEM: Premise: اوه نه من انجامش ندادم. <sep> Label: Contradiction
SOLUTION: | تصمیم گرفتم انجامش بدم و انجامش دادم.
| 8 | NIv2 | task464_parsinlu_entailment_sentence_generation | fs_opt | [
-0.706997275352478,
0.5324696898460388,
-0.3668838441371918,
0.06437859684228897,
-0.4404207468032837,
0.3070140480995178,
0.42209047079086304,
0.24202078580856323,
0.4475398659706116,
-0.658623456954956,
-0.5586428642272949,
0.2736304700374603,
-0.35464659333229065,
-0.13752570748329163,
... |
Instructions: This task is about translating a given Yoruba language sentence to English.
Input: Ọwọ́ ní ń tún ara ṣe.
Output: | The hands are the agents for grooming the body. | 3 | NIv2 | task1686_menyo20k_translation | zs_opt | [
0.7107474207878113,
1.5779521465301514,
0.14897623658180237,
0.2797035574913025,
-0.32581424713134766,
-0.3777448236942291,
-0.466892272233963,
0.966468095779419,
0.2990550696849823,
0.31260955333709717,
0.6368368268013,
0.1174636036157608,
-0.7172449827194214,
-0.04274440556764603,
0.57... |
Part 1. Definition
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Part 2. Example
What is the part-of-speech tag of the word "the" in the following question: Who were the builders of the mosque in Herat with fire temples ?
Answer: DT
Explanation: This is a good example. POS tag of "the" is DT.
Part 3. Exercise
What is the part-of-speech tag of the word "that" in the following question: What is the name of the clan that largely inhabit the location that is served by the airport that is also known as Siyad Barre Airport and is in the region of Galguduud ?
Answer: | WDT | 7 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
0.496110737323761,
0.6711937189102173,
-0.45666593313217163,
0.5008065700531006,
-0.06925766170024872,
-0.6704965829849243,
0.8593394756317139,
0.6568183898925781,
-0.6116718649864197,
0.2578447163105011,
-0.29897016286849976,
0.2101973295211792,
-0.18494056165218353,
0.14579127728939056,
... |
Given a prompt and two completions from a language model, select the completion that is more topical with respect to continuing the prompt. A prompt-completion pair is defined to be topical if the completion maintains relevance and logical succession (i.e. stays on topic) with the prompt. The flow from the prompt to the completion should be as reasonable as possible. Generate either Completion A or Completion B.
[EX Q]: Prompt: really?... You dick sucking like that? Smh and I bet
Completion A: Arsyne Landesa Bertoni about brought the singer with her after Loudon Lambert providing an arena from which Borque drew attention:
Completion B: you got so turned on I bet you want to cum in my mouth... Oh god... You wanna swallow me? Do you know how hard that feel
[EX A]: Completion B
[EX Q]: Prompt: A great day for the fathers. Add to the legacy.
Completion A: The fathers' love and loyalty in keeping the children safe, secure, and free from any threat was evident from the very beginning. The fathers made great
Completion B: I salute them. They deserve it all."The story that will help save the day.Rudy Rolfe,
[EX A]: Completion A
[EX Q]: Prompt: The Citrus 7's, all black 10's, white & red 10's
Completion A: , white & red 10's & red 8's, black & brown 10s, white & red 10s, black & brown 10's, white
Completion B: , black 7's & black 7's, white 5's, black 5's & red 5's. We will offer these new colors i
[EX A]: | Completion A
| 6 | NIv2 | task139_detoxifying-lms_classification_topicality | fs_opt | [
0.03228812664747238,
0.38378646969795227,
-0.12816768884658813,
-0.11485402286052704,
-0.6641623973846436,
-0.5448175668716431,
0.5036532878875732,
0.9360222220420837,
-0.15502294898033142,
0.14926162362098694,
-0.6985185146331787,
0.25270920991897583,
0.07068108022212982,
0.18625628948211... |
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
[EX Q]: Den 26 november 1999 godkände Europeiska kommissionen ett åtgärdspaket för bekämpning av diskriminering.
[EX A]: On 26 November 1999, the European Commission approved a package of measures to combat discrimination.
[EX Q]: Det räcker med att titta på Belgiens unilaterala beslut att återupprätta gränskontrollerna.
[EX A]: The unilateral decision by Belgium to re-establish border controls is a clear illustration of this.
[EX Q]: Detta verkar vara det händelsemönster som har framkommit efter användningen av utarmade uranvapen i Gulfkriget.
[EX A]: | This seems to be the pattern of events that has emerged after the use of depleted uranium weapons in the Gulf war.
| 6 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
-0.4374431371688843,
0.814786434173584,
0.4876200556755066,
-0.6055399179458618,
0.15242502093315125,
-0.6301270723342896,
0.698194146156311,
0.6187681555747986,
0.4788672924041748,
0.6060978174209595,
0.2292488068342209,
1.0005536079406738,
-0.35911643505096436,
-0.12332142144441605,
0.... |
Given the task definition and input, reply with output. In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
I am.
| آجل | 5 | NIv2 | task651_opus100_en_ar_translation | zs_opt | [
0.07361885905265808,
0.38519003987312317,
0.7427222728729248,
-0.20635570585727692,
-0.163751482963562,
-0.10309542715549469,
-0.13580423593521118,
0.12829086184501648,
0.6742656230926514,
0.11848308145999908,
-0.6325781941413879,
0.322242796421051,
-0.7396615743637085,
-0.0802891254425048... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Q: 私には飼い犬がいます私は運を信じるかはわかりませんし何を信じているのかも複雑すぎてわかりませんが私は旅に出る前に愛犬のしっぽを７回ぐるぐる回します
A: | Dobra wiadomość to ta, że mam psa i, chociaż nie wiem, czy wierzę w szczęście — nie wiem, w co wierzę, to bardzo skomplikowane — ale wiem, że zanim wychodzę z domu, kręcę jego ogonem 7 razy. | 9 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
-0.43314164876937866,
0.2906010150909424,
-0.037513505667448044,
-0.0059843845665454865,
-0.6532972455024719,
-0.684524655342102,
-0.3494970500469208,
-0.37801870703697205,
-0.700041651725769,
-1.0887606143951416,
0.08902815729379654,
0.7747663855552673,
-0.27015891671180725,
-0.0950538516... |
Q: Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn the fact into a question - easy! Don't just randomly remove a word from the given fact to form a question. Remember that your question must evaluate scientific understanding. Pick a word or a phrase in the given fact to be the correct answer, then make the rest of the question. You can also form a question without any WH words. For example, "A radio converts electricity into?"
Fact: Combustion is used to produce heat.
A: | Combustion is used to produce what? | 7 | NIv2 | task040_qasc_question_generation | zs_opt | [
0.7518825531005859,
0.9616130590438843,
0.08629346638917923,
-0.04574986547231674,
-0.8693854808807373,
-1.0801341533660889,
0.7077243328094482,
0.9812259674072266,
0.1897640973329544,
-0.5961315035820007,
-1.077746868133545,
-0.03407418727874756,
-0.4400978684425354,
0.09001447260379791,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Example: Beginning: Butch had a really old computer. Middle 1: Butch decided to order a new computer online. Middle 2: Butch noticed that a storm was approaching to his town. Ending: It arrived and Butch was much happier.
Output: 1
People generally don't feel happy about natural disasters like storms. Therefore, we choose 1 in this case.
New input case for you: Beginning: Mary always bragged about how good she was at bowling. Middle 1: Steve challenged her to a bowling clarinet and Mary lost. Middle 2: Steve challenged her to a bowling game and Mary lost. Ending: How was she to know that Steve was a college bowling champion?
Output: | 2 | 1 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.06583524495363235,
0.6737300157546997,
-0.4078894853591919,
0.01781107485294342,
0.3433298170566559,
0.003451358526945114,
-0.03239193558692932,
1.1055328845977783,
0.17807704210281372,
-0.02613779529929161,
-0.49071234464645386,
0.010066458955407143,
0.2577313482761383,
-0.462372452020... |
Given the task definition and input, reply with output. Given a sentence in English, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
This species can be found in Papua New Guinea , Bismarck Archipelago : New Britain ; Woodlark Island ; West Papua ; Aru Islands .
| Esta especie se puede encontrar en New - Britannia, Bismarck - archipelago: Woodlark Island, Papua - New Guinea, West Papua y Aru - Islands. | 5 | NIv2 | task779_pawsx_english_spanish_translation | zs_opt | [
0.14726276695728302,
0.47890788316726685,
-0.32178932428359985,
-0.6675038933753967,
0.021686214953660965,
0.22609470784664154,
0.5757034420967102,
-0.314849853515625,
0.6665898561477661,
-0.15745478868484497,
0.17513920366764069,
0.5408815741539001,
-0.6101068258285522,
0.2551769912242889... |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make your responses similar to the given correct answer. To this end, try to keep both the length and the style as similar as possible between the correct and the incorrect answer. To make your incorrect answers more difficult, try to incorporate words from context. To avoid being predictable or repetitive, try to add more variations and complexity.
Q: Context: How sweet is that ? Not to mention a sweet looking Barnes and Noble and a Starbucks right next to that :) I loved all of it . I think I ' m going to be right at home on this campus once I get used to it .
Question: What may be a fact about the speaker ?
Correct Answer: They had just moved to a college campus .
A: They are a student at a high school .
****
Q: Context: Cameron would be waiting , and Cameron would be disappointed with her for standing here , her back against a tree , thirsting . She should go back - The smell of a girl passing brought a stop to every moral and human thought in her mind . She did n't even bother with the seduction this time , just grabbed the girl , hand over her mouth . She was n't aware of vamp - facing , was n't aware of anything until she was standing over a corpse , covered in blood , panting .
Question: What may be the reason for them not being worried about anyone seeing them feed ?
Correct Answer: Because their hunger was too fierce .
A: Because they are going against the vampire code .
****
Q: Context: She is n't moving and appears physically sunken in . I grip onto the railing as though it is a lifeline , and after several failed attempts to raise my legs high enough to step over her , I manage to climb up the stairs . As I shamble across the deck to the opposite side , I have the near - overwhelming , cliched urge to just lie down and die . I feel extremely lethargic and every movement is painful , but I am able to ignore it due to a general sense of just not caring about what is going on .
Question: Why may the narrator be struggling up the stairs ?
Correct Answer: They have been injured .
A: | They have been given bad news .
****
| 4 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
0.5064634680747986,
0.7187497019767761,
0.2602693438529968,
-0.05205133557319641,
0.3132599890232086,
-0.7397828698158264,
0.562098503112793,
0.8558990955352783,
-0.2641124129295349,
0.20245078206062317,
0.14723394811153412,
-0.1482449471950531,
-0.5136922597885132,
-0.27165040373802185,
... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity, then return 'None'.
Q: " Onze studie wijst uit dat het slaapgedrag van kinderen niet afgestemd is op wat hun lichaam nodig heeft " , zegt Sadeh .
A: | None | 9 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
0.2643853724002838,
0.28472140431404114,
-0.3944034278392792,
-0.5810724496841431,
-0.7024725675582886,
-0.04845043644309044,
0.8647410869598389,
0.011315423995256424,
0.20251141488552094,
-1.0236800909042358,
-0.17358726263046265,
1.0073459148406982,
-0.637728214263916,
-0.080202333629131... |
In this task, you are given a question and a corresponding answer. Your task is to generate a fact statement that is useful in answering the given question.
Question: Skittles left in snow become? Answer: hard.
something in a cold place becomes cold
Question: A shoe seems gold and green at first, then at second glance looks blue and silver. This could be due to? Answer: refractions.
refraction causes something to look different
Question: A beam of sunlight strikes a stained glass window and? Answer: hues multiply through it.
| a prism refracts light
| 0 | NIv2 | task1401_obqa_sentence_generation | fs_opt | [
-0.15907564759254456,
0.8729581236839294,
-0.5846543312072754,
-0.07467281073331833,
-0.527035117149353,
-0.11471279710531235,
0.3736657500267029,
0.800210177898407,
0.1091490089893341,
-0.6022870540618896,
-0.24693602323532104,
0.6156506538391113,
-0.9503931999206543,
0.614280104637146,
... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
الآن ، هل يهتم المصممون فعلاً بهذا ؟
A: | עכשיו, האם למעצבים למעשה אכפת מזה? | 7 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.6908949613571167,
0.5941849946975708,
0.01722211018204689,
-0.23956476151943207,
-0.5940865874290466,
-0.31169599294662476,
0.4070867598056793,
0.026360657066106796,
0.8538582921028137,
-0.3859412968158722,
-0.11579559743404388,
0.06970690190792084,
-0.1926954686641693,
0.35575109720230... |
Part 1. Definition
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Part 2. Example
Italy have defeated Portugal 31-5 in Pool C of the 2007 Rugby World Cup at Parc des Princes, Paris, France.
Answer: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Explanation: This is a correct and accurate translation from English to Japanese because translated text is just paraphrased of English sentence. Also, it preserves the numbers as it is.
Part 3. Exercise
Many religious schools in Brisbane have chosen not to show the race due to gambling concerns.
Answer: | ブリスベンの多くの信仰深い学校は、ギャンブルへの懸念からレースを見せないことを選んだ。 | 7 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.017904112115502357,
0.8308683633804321,
0.024927405640482903,
0.1877920925617218,
0.07591213285923004,
-0.10131833702325821,
0.5865650177001953,
0.5205199122428894,
0.2609531879425049,
-0.7087792158126831,
-0.7461990714073181,
0.5608342885971069,
-0.5172805786132812,
0.3153236508369446,... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Q: Reviews: Broke first time we used. Smaller than expected
Summary: Drains batteries quickly, even if it's turned off.
A: | False | 4 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.14243164658546448,
0.41142967343330383,
-0.14587092399597168,
-1.0907559394836426,
-0.37481293082237244,
-0.8585671186447144,
0.8833117485046387,
0.7869758605957031,
-0.5970273017883301,
0.45890212059020996,
-0.618064284324646,
-0.3931694030761719,
-0.5393869876861572,
0.232957959175109... |
Given the task definition and input, reply with output. You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Event:PersonX gets home late from work. Intent: 1) to do something well.. XEmotion: 1) joy
| worried. | 5 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.03607001155614853,
0.19988051056861877,
0.3506186306476593,
0.2405741661787033,
-0.21157455444335938,
-0.2997797131538391,
0.6774741411209106,
0.4848990738391876,
0.13607263565063477,
-0.20709310472011566,
0.1633150279521942,
-0.3873370885848999,
-0.5424416065216064,
-0.21268117427825928... |
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".
Example input: [header] How to create a christmas tree forest [title] Consider the type of tree you want to plant. [step] There are a wide variety of christmas trees and include fir, pine, spruce, cypress, and cedar. These trees thrive in different climates and look different from one another. <sep> (A) It is important to research the tree before setting up your tree to try it out to make sure you can write the tree's growing season so that you can get the most supplies you need. If you're just interested in having a tree stand out, then make sure to check for the following : [substeps] Spruce trees. (B) [substeps] Trees green may be used in a mix of green and evergreen. Greens, such as pintos and olive oil, may be more delicate than these. (C) Where the trees grow together is up to you. [substeps] Spruce trees light up the night for hours in the morning and drown out the morning sunrise between afternoons. (D) Think about where your tree forest will be located and choose a tree that can thrive in that climate. [substeps] Balsam firs are a popular christmas tree species that grow in the northern united states and canada, in hardiness zones 3-5 or states like minnesota, north dakota, and montana.
Example output: D
Example explanation: This is a good example. Only option D is about Christmas trees. So, it's the correct option.
Q: [header] How to prepare for a banking job [title] Get a high school diploma or ged. [step] Most banking jobs require at least a high school diploma or ged, and they often require more formal education. If you are interested in becoming a bank teller, you can usually apply with only a high school diploma. <sep> (A) [title] Get your general education to become a bank teller. [step] Many banks also require u.s. (B) You will also need to pass a background check before getting started. Once hired, you will be trained to do the specific job you've been hired for. (C) Some banks will require that you offer a master's degree in banking, rather than the necessary education for the job. [substeps] Have a degree at your local college. (D) The next step is getting the required college education (or ged). [substeps] Some bank teller positions will require additional courses from a diploma or ged rather than just a college degree.
A: | B | 3 | NIv2 | task1389_hellaswag_completion | fs_opt | [
0.27668705582618713,
0.32509738206863403,
-0.4839361608028412,
-0.36706510186195374,
-0.0871654599905014,
-0.501272976398468,
0.7793816924095154,
0.9125037789344788,
0.08332858979701996,
0.2999386191368103,
0.22586342692375183,
-0.3802255094051361,
0.1837507039308548,
0.07907689362764359,
... |
Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. 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 and the story's general plot. The original ending is the last three sentences of the story. Also, a counterfactual context is a slight modification to the initial context. You should write a new story ending that edits the original story ending as little as possible to regain coherence with the counterfactual context. To sum up, you should write the last three sentences of a story based on the premise(first sentence) and the counterfactual context(second sentence) of the story.
Premise: The cat was laying on the window sill.
Initial Context: The cat saw a ball on the floor.
Original Ending: The cat had never seen a ball. The cat got down and swatted the ball. The cat liked playing with the ball.
Counterfactual Context: The cat saw a rat run across the floor.
The cat had never seen a rat. The cat got down and swatted the rat. The cat liked playing with the rat.
Premise: Tom was a middle school student.
Initial Context: His neighbor was one year older than him.
Original Ending: His neighbor had a trampoline in their backyard. They had fun wrestling each other and playing on the trampoline. Tom eventually got a trampoline by asking his parents for one.
Counterfactual Context: His neighbor was a 92 year old man.
His neighbor had chairs in their backyard. They had fun sitting with each other and talking. Tom eventually got a chair by asking his parents for one.
Premise: Mark was eating his favorite dessert.
Initial Context: Suddenly he feels a sharp pain.
Original Ending: He falls to the floor. He is shaking and crying for help. He gets help and sent to a dentist.
Counterfactual Context: He ate tons of sugar although he was a diabetic.
| He falls to the floor. He is shaking and crying for help. He gets help and sent to a hospital.
| 0 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.7082898616790771,
0.5791871547698975,
-0.12349749356508255,
0.4319007992744446,
0.09842449426651001,
-0.9667852520942688,
0.0036588229704648256,
0.8000600337982178,
0.09703890979290009,
-0.16658639907836914,
-0.228554829955101,
0.43285322189331055,
-0.3076770007610321,
0.2432244420051574... |
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correct answer words must lie within the associated fact. The correct answer can be a word, phrase, or even a sentence.
[Q]: Fact: plants are sensitive to darkness.
Question: What are plants sensitive to?
[A]: darkness.
[Q]: Fact: if copper is exposed to a source of heat then that copper may easily become hot.
Question: What can easily become hot if exposed to heat?
[A]: copper.
[Q]: Fact: Something categorized by the Saffir-Simpson scale converts heat energy into mechanical energy.
Question: Something that converts heat energy to mechanical energy is categorized by what scale?
[A]: | Saffir-Simpson.
| 5 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.556652307510376,
0.4915086627006531,
-0.25666970014572144,
-0.2075294852256775,
-0.11588189750909805,
-1.5367038249969482,
0.3817174434661865,
0.47165119647979736,
0.44776591658592224,
0.4293071925640106,
-0.677606463432312,
0.4394944906234741,
-0.6466321349143982,
-0.10061517357826233,
... |
Definition: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (correct), CASE_DIFF (case error), PUNCUATION_DIFF (punctuation error), CASE_AND_PUNCUATION_DIFF (both case and punctuation error), STEM_BASED_DIFF (stem word error), DIGIT_DIFF (digit error), INTRAWORD_PUNC_DIFF (intra-word punctuation error), and UNKNOWN_TYPE_DIFF (an error that does not corrrespond to the previous categories)].
Input: ['salvation', 'can', 'have', 'a', 'stabilizing', 'effect', 'on', 'a', 'conjugate', 'base', 'so', 'if', 'we', 'look', 'at', 'water', "here's", 'the', 'water', 'molecule', 'if', 'water', 'donates', 'this', 'proton', 'then', 'our', 'electrons', 'in', 'magenta', 'are', 'left', 'behind', 'on', 'the', 'oxygen', 'which', 'gives', 'the', 'oxygen', 'a', 'negative', '1', 'formal', 'charge', 'and', 'we', 'form', 'the', 'conjugate', 'base', 'to', 'water', 'which', 'is', 'the', 'hydroxide', 'anion', 'the', 'hydroxide', 'anion', 'can', 'be', 'stabilized', 'by', 'our', 'solvent', 'so', 'if', 'water', 'is', 'our', 'solvent', 'let', 'me', 'go', 'ahead', 'and', 'draw', 'in', 'a', 'few', 'water', 'molecules', '', 'here', 'so', 'here', 'is', 'one', 'water', 'molecule', 'let', 'me', 'draw', 'another', 'one', 'over', 'here', 'we']
Output: | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF'] | 2 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.4198368191719055,
0.15282219648361206,
-0.1571919023990631,
-0.35945725440979004,
0.3860825002193451,
-0.9021584987640381,
0.19351132214069366,
0.8458134531974792,
0.08558417856693268,
0.28037357330322266,
-0.3071087598800659,
-0.38627704977989197,
-0.4476791024208069,
-0.182893902063369... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader.
Q: Aria entered the office. James entered the office. The corn is in the blue_box. Phone rang. James exited the office. Aria moved the corn to the green_basket. Where will James look for the corn?
A: blue_box
****
Q: Owen entered the office. James entered the office. The pineapple is in the blue_crate. James exited the office. Owen moved the pineapple to the green_bottle. Owen exited the office. James entered the office. Where will James look for the pineapple?
A: green_bottle
****
Q: Mia entered the garden. Mason entered the garden. The onion is in the red_envelope. Mason exited the garden. Mia moved the onion to the green_treasure_chest. Mia exited the garden. Mason entered the garden. Where will Mason look for the onion?
A: | green_treasure_chest
****
| 4 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.3610919713973999,
0.26811766624450684,
-0.6810777187347412,
-0.4682989716529846,
-0.42837101221084595,
-1.0354291200637817,
-0.26131507754325867,
0.8116316795349121,
0.4329962730407715,
-0.16525685787200928,
-0.7105762958526611,
0.4142895042896271,
0.22997304797172546,
0.1417014598846435... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Q: Venezuela: Pictures of Election Day · Global Voices
A: | ونزوئلا: عکسهایی از روز انتخابات | 4 | NIv2 | task663_global_voices_en_fa_translation | zs_opt | [
-0.015708910301327705,
0.4715110659599304,
-0.40785160660743713,
0.6251604557037354,
-0.8941228985786438,
-0.035980477929115295,
0.10717910528182983,
1.1559510231018066,
-0.04522623121738434,
0.43986088037490845,
0.13402307033538818,
0.19137662649154663,
0.9703572988510132,
0.6972066164016... |
Detailed Instructions: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Problem:Context: This is key: @DrFriedenCDC says viral hemorrhagic fever has never been transmitted in the USA. Our health system can isolate. — Mark Leon Goldberg (@MarkLGoldberg) September 30, 2014 Answer: dr frieden cdc
Solution: | who says viral hemorrhagic fever has never been transmitted in the usa? | 8 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-0.7379982471466064,
0.4260641038417816,
-0.3425278067588806,
-0.32346004247665405,
-0.0472215935587883,
-0.6896212697029114,
0.5332539081573486,
0.2224763184785843,
0.26223835349082947,
-0.27611079812049866,
-0.08109793066978455,
0.4538901150226593,
-0.6480089426040649,
0.2058687955141067... |
Instructions: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Input: passage: The Marine Corps has been a component of the U.S. Department of the Navy since 30 June 1834, working closely with naval forces. The USMC operates installations on land and aboard sea-going amphibious warfare ships around the world. Additionally, several of the Marines' tactical aviation squadrons, primarily Marine Fighter Attack squadrons, are also embedded in Navy carrier air wings and operate from the aircraft carriers.
question: is the us marines part of the navy?
Output: | Yes | 3 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
-0.1879645735025406,
0.4690910577774048,
-0.3011879324913025,
-0.14483922719955444,
0.15695405006408691,
-1.0959372520446777,
1.0789480209350586,
0.23202455043792725,
0.1513691246509552,
0.7867742776870728,
0.028951361775398254,
-0.4081893563270569,
-0.7270768880844116,
0.16732197999954224... |
Instructions: You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Input: Sentence1: Thanks! You're very welcome! You have a great day too! Sentence2: It's an expensive restaurant in the south. It serves indian food. Sentence3: Your booking was successful! Your table will be reserved for 15 minutes. The reference number is 6KURIUG5 . Sentence4: I would like to book a table for 8 people on Sunday at 19:30. Sentence5: Thanks so much. I think that's all I needed. Have a great day. Bye. Sentence6: Hello, I am looking for a restaurant name taj tandoori. Question: Who has spoken the sentence 1? (A) User (B) System
Output: | Answer: (B) System | 3 | NIv2 | task638_multi_woz_classification | zs_opt | [
0.6947909593582153,
0.7701138257980347,
-0.4881935715675354,
-0.2092902958393097,
-0.5988216996192932,
-0.1243588775396347,
0.4894031584262848,
-0.09385078400373459,
-0.4056635797023773,
-0.7070509195327759,
-0.06596630811691284,
-0.32844170928001404,
-0.5604580044746399,
0.282412946224212... |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Q: 3rd Transformer movie brilliant in 3D. The images and colours on blu ray show the movie to its full effeect. Sound on dolby digital perfect. Worth buying for a fun packed couple of hours.
A: | Positive | 4 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.3594028353691101,
-0.31139978766441345,
0.15478196740150452,
-0.15060287714004517,
0.1333933174610138,
0.6975592970848083,
0.806495189666748,
0.08506764471530914,
0.11258998513221741,
0.4079597294330597,
-0.0326702855527401,
-0.26839518547058105,
-0.15740272402763367,
-0.615874171257019... |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: ये मेरे देश के मतदाताओं की ताकत है।
Solution: हे माझ्या देशाच्या मतदारांची शक्ती आहे.
Explanation: Correct translation for given sentence. Input sentence means 'This is the power of my country's voters.' which is the same as the output sentence.
Problem: हमारी गिनती भी अंकटाड द्वारा सूचीबद्ध शीर्ष 10 एफडीआई गंतव्यों में की जाती है।
Solution: | भारतातील तरुणांसाठी रोजगाराच्या संधी उपलब्ध व्हाव्या यासाठी आम्ही निर्मिती क्षेत्राला प्रोत्साहन देण्याचे काम करीत आहोत. | 4 | NIv2 | task1081_pib_translation_hindi_marathi | fs_opt | [
0.5564837455749512,
0.33130747079849243,
0.06315930187702179,
0.15870937705039978,
0.05810211971402168,
-1.2643117904663086,
0.6902657151222229,
0.12685343623161316,
-0.4184924364089966,
0.05861414223909378,
-0.8833727240562439,
-0.521971583366394,
-0.479168564081192,
-0.1438496708869934,
... |
In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Q: The European Union and Humanitarian Aid (vote)
A: | Европейски съюз и хуманитарна помощ (вот) | 4 | NIv2 | task272_europarl_translation | zs_opt | [
-0.0013036711607128382,
0.9650988578796387,
0.3802921175956726,
0.31749895215034485,
-0.0218393262475729,
-1.1843714714050293,
0.6637101173400879,
0.4568202495574951,
0.46812713146209717,
0.10354627668857574,
0.08919167518615723,
0.4277009069919586,
-0.028180044144392014,
-0.59042412042617... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Let me give you an example: JkbloNUq, nYblowj
The answer to this example can be: b, j, k, l, n, o, q, u
Here is why: Here, 'JkbloNUq' is the longer string among the two input strings. Lowercasing it and finding all unique alphabets gives 'b, j, k, l, n, o, q, u'.
OK. solve this:
oJeXmAyOnyVRfcrUTQnDnVdETaOVkMNrGDdtcYgx, sBBFpsRynrfcrUTQnDnVdETatBSIjpQWjiliu
Answer: | a, c, d, e, f, g, j, k, m, n, o, q, r, t, u, v, x, y | 8 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.28478094935417175,
1.667647123336792,
-0.731460690498352,
-0.7987915277481079,
0.0598776638507843,
-0.3700054883956909,
1.1270887851715088,
-0.3263818323612213,
-0.07111340761184692,
0.392660915851593,
-0.030938729643821716,
-0.02813408337533474,
-0.17198090255260468,
0.1690635979175567... |
Given the task definition and input, reply with output. In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
By the Canopy Raised High;
| و به آن سقف برافراشته، | 5 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.5708386301994324,
1.2958475351333618,
-0.013292122632265091,
-0.6348212957382202,
-0.35727548599243164,
-0.1294148862361908,
0.43237751722335815,
0.7756355404853821,
-0.16077199578285217,
0.044112250208854675,
-0.2897094786167145,
0.6153654456138611,
-1.1691997051239014,
0.7054284811019... |
Definition: You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct answer for each question.
Input: What do the energy resources uranium and coal have in common?
(A) They both are formed from the remains of dead organisms. (B) They both are acquired by mining the lithosphere. (C) They both release energy through combustion. (D) They both generate radioactive wastes.
Output: | B | 2 | NIv2 | task229_arc_answer_generation_hard | zs_opt | [
0.7945746183395386,
0.5336606502532959,
-0.4046087861061096,
-0.6157534718513489,
-0.9043065309524536,
-0.30451205372810364,
0.9751147031784058,
0.03933161869645119,
0.03793102875351906,
-0.4662033021450043,
-0.46468591690063477,
0.03502363711595535,
0.059067584574222565,
-0.01499152649194... |
Q: A text is given in Panjabi. Translate it from the Panjabi language to the Telugu language. The translation must not omit or add information to the original sentence.
ఉత్పత్తి యొక్క భద్రత, పరివర్తన, పంపిణీ మరియు ఆహారం సరఫరా;
A: | ਠ) ਉਤਪਾਦਨ, ਟਰਾਂਸਫਾਰਮੇਸ਼ਨ, ਵੰਡ ਅਤੇ ਖ਼ੁਰਾਕ ਦੀ ਡਲਿਵਰੀ ਦੀ ਸੁਰੱਖਿਆ। | 7 | NIv2 | task1066_pib_translation_telugu_punjabi | zs_opt | [
0.1914975643157959,
0.8296724557876587,
0.2815978229045868,
0.7435786128044128,
-0.35415178537368774,
-1.5213972330093384,
-0.08571787923574448,
0.4620274305343628,
-0.7331002354621887,
-0.1665065586566925,
-0.5172725915908813,
-0.782188892364502,
-1.1405274868011475,
-0.11271965503692627,... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Example: What is the part-of-speech tag of the word "the" in the following question: Who were the builders of the mosque in Herat with fire temples ?
Output: IN
This is a good example. POS tag of the is DT and IN is incorrect.
New input case for you: What is the part-of-speech tag of the word "by" in the following question: Produced in Canada by Nelvana Limited and The Clifford Ross Company , a fantasy TV animated series initially premiered on HBO in America and re-aired in Australia in 2003 on a channel with headquarters in what inner-city suburb of Sydney ?
Output: | NNP | 1 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.9786185026168823,
0.5110792517662048,
-0.18810471892356873,
0.441706120967865,
0.369288831949234,
-0.3393956422805786,
0.8296480178833008,
0.907151460647583,
-0.8516249656677246,
0.11437367647886276,
-0.025268133729696274,
0.525589644908905,
-0.12803563475608826,
-0.08295106142759323,
... |
Part 1. Definition
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
Part 2. Example
M: I am considering dropping my dancing class. I am not making any progress. W: If I were you, I stick with it. It's definitely worth time and effort., Question: What does the man suggest the woman do? (A) Consult her dancing teacher. (B) Take a more interesting class. (C) Continue her dancing class.
Answer: (C) Continue her dancing class.
Explanation: This is a good example. Based on the conversation, we could understand that only option (C) is correct.
Part 3. Exercise
M: Professor Smith asked me to go to his office after class. So it's impossible for me to make it to the bar at ten. W: Then it seems that we'll have to meet an hour later at the library., Question: What will the man do first after class? (A) Go to the library. (B) Meet the woman. (C) See Professor Smith.
Answer: | (C) See Professor Smith. | 7 | NIv2 | task247_dream_answer_generation | fs_opt | [
0.17709064483642578,
-0.05602060258388519,
-0.41690945625305176,
-0.5136115550994873,
0.3219408392906189,
0.047879431396722794,
0.3571128249168396,
0.15768146514892578,
0.6590533256530762,
-0.3233199119567871,
-0.24249686300754547,
-0.14820918440818787,
-0.08432178944349289,
-0.16974367201... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar School.
Subject : Isaac Nicola
Relation : place of birth
Solution: What was Isaac Nicola's city of birth?
Why? Here the question is generated on Isaac Nicola Romero who is the subject and the relation of question to the context is about the place of birth of Isaac Nicola Romero. Hence generated question is correct
New input: Context : In Greek mythology, Hades was regarded as the oldest son of Cronus and Rhea, although the last son regurgitated by his father.
Subject : Hades
Relation : spouse
Solution: | What is Hades's spouse's name? | 0 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | fs_opt | [
0.9054948091506958,
0.3220318555831909,
-0.8150984048843384,
-0.17130827903747559,
-0.19094814360141754,
-0.3296375274658203,
1.029967188835144,
0.5565099716186523,
0.1374146193265915,
0.13092926144599915,
0.28762975335121155,
1.0382267236709595,
-1.3187774419784546,
0.30658283829689026,
... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Q: Comment: Fuck Trump and fuck your piece of shit “newspaper.”
A: | Toxic | 9 | NIv2 | task327_jigsaw_classification_toxic | zs_opt | [
-1.0980356931686401,
0.6570515036582947,
0.9175186157226562,
0.4135821759700775,
-0.029561065137386322,
-0.4252268671989441,
0.5157926082611084,
0.4705396294593811,
0.25575271248817444,
0.7113168835639954,
0.0041925860568881035,
0.17045274376869202,
-0.4143304228782654,
-0.811002790927887,... |
Teacher: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".
Teacher: Now, understand the problem? Solve this instance: Robert usually didn't like fish as much as Kyle however _ had a disliking for sardines on pizza. (A) Robert (B) Kyle
Student: | B | 6 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
-0.4804232716560364,
0.3437997102737427,
0.14113160967826843,
-0.7882357835769653,
-0.11649522185325623,
-0.8303208351135254,
1.0476875305175781,
0.05697500705718994,
0.348475843667984,
0.006558943074196577,
1.0825104713439941,
0.018250104039907455,
-0.15381017327308655,
-0.249237060546875... |
Detailed Instructions: A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: இந்தியா அல்லது உஸ்பெகிஸ்தானிடமிருந்து அறிவிப்பு வந்த நாளிலிருந்து ஆறு மாதத்திற்கு பிறகு இந்த ஒப்பந்தம் காலவதியாகிவிடும்
Solution: భారతదేశం లేదా ఉజ్బెకిస్తాన్ నుండి ప్రకటన తర్వాత రోజు నుండి ఆరు నెలల తరువాత, ఈ ఒప్పందం సకాలంలో ఉంటుంది
Explanation: Correct translation for given sentence. Input sentence means 'After six months from the day after the announcement from India or Uzbekistan, this agreement will be timely' which is the same as the output sentence.
Problem: திரிபுரா மாநிலத்தில் உள்ள அகர்தலா விமான நிலையத்தின் பெயரை மகாராஜா பீர் பிக்ரம் மாணிக்ய கிஷோர் விமான நிலையம் என்று பெயர்மாற்றம் செய்ய பிரதமர் திரு.
Solution: | త్రిపుర లోని అగర్తలా విమానాశ్రయం పేరు ను మార్చి మహారాజా బీర్ బిక్రమ్ మాణిక్య కిశోర్ విమానాశ్రయం, అగర్తలా గా పెట్టేందుకు ఆమోదం తెలిపిన మంత్రివర్గం | 4 | NIv2 | task1075_pib_translation_tamil_telugu | fs_opt | [
0.21620741486549377,
0.7739043235778809,
-0.11096401512622833,
0.25244951248168945,
0.15260446071624756,
-1.407228708267212,
0.008438646793365479,
0.009139543399214745,
-0.5225212574005127,
0.6107121706008911,
-0.2563762962818146,
0.014821103774011135,
-0.41660451889038086,
0.0096050482243... |
In this task, you are given an article. Your task is to summarize the article in a sentence.
[Q]: Mother-of-two Rachael Buckland, 25, fractured her skull and suffered a bleed on the brain after the fall at her home in St Mellons, Cardiff.
She was taken to the city's University Hospital of Wales where she has undergone brain surgery.
Her husband Mitchell Buckland, 23, also a professional fighter, said she was "fighting for her life".
The couple met while training together at St Joseph's boxing gym in Newport.
Mrs Buckland, a chef, is a former Welsh bantamweight champion but took time away from the sport after giving birth to children Lorenzo, two, and Ella-Rose, one.
"It's just a waiting game now so still praying but she's stable," Mr Buckland said.
Tony Borg, boxing coach at St Joseph's, said: "It's affected everybody at the gym. We're trying to keep focus for Mitch; he rings a few times a day with any updates - we want to keep positive for him.
"We're trying to do what we can. They are a young couple with two young children. What they are going through now is unreal."
[A]: A former boxing champion is in a coma after falling down a flight of stairs.
[Q]: The Lakers are struggling again this season after three years of decline in which they have posted the worst results in their history.
Three-time Most Valuable Player Johnson spent his entire 13-year NBA career with the Lakers, winning five championships with the franchise.
"I'm overjoyed to be back home with the Lakers," Johnson said.
"I will do everything in my power to help return them to their rightful place among the elite teams of the NBA," added the 57-year-old.
He will assist Buss "in all areas of basketball and business", the franchise announced.
"We are thrilled and honoured to add Magic's expertise and abilities," Buss added.
Johnson was an honorary vice president of the Lakers until last year and held an ownership stake until selling it in 2010.
He was also part of the USA 'Dream Team' which won Olympic gold in 1992.
[A]: Basketball great Magic Johnson has returned to the Los Angeles Lakers as an adviser to owner Jeanie Buss.
[Q]: Prices will start at £98 for a refurbished PC, with subsidised net connections available for £9 a month.
The 12-month trial is part of the Race Online 2012 scheme, which aims to reach out to the 9.2 million adults in the UK who have never used the net.
Distributor Remploy hopes to sell 8,000 machines in the next 12 months.
"Motivation and inspiration are still two of the biggest barriers [to using the internet], but clearly perception of price is another big deal for people," Martha Lane Fox, the UK's digital champion, told the Financial Times. "A good price point is certainly part of what helps people get online."
Race Online 2012, which aims to "make the UK the first nation in the world where everyone can use the web", estimates that of the more than nine million adults in the UK who are currently not online, four million are socially and economically disadvantaged.
The cheap computers will run open-source software, such as Linux, and will include a flat-screen monitor, keyboard, mouse, warranty, dedicated telephone helpline and delivery.
The packages will be sold through 60 UK online centres which offer IT training and Remploy, an organisation that specialises in helping disabled and disadvantaged people find work and which runs the computer recycling scheme e-cycle.
Race Online 2012 has also negotiated cheap internet packages using a mobile dongle, costing £9 a month or £18 for three months, to help people access the web.
Its research suggests that going online can save people around £560 a year and that thousands of jobs are offered exclusively online.
But the cost of owning and running a computer and net connection is often seen as a barrier for many people.
As a result, there have been several previous government-sponsored initiatives that offered cheap PCs.
The £300m Home Access Scheme began to distribute free laptops to pupils from poor backgrounds in January 2010. It was scrapped by the coalition government eight months later.
[A]: | Low-cost computers are to be offered as part of a government scheme to encourage millions of people in the UK to get online for the first time.
| 5 | NIv2 | task1290_xsum_summarization | fs_opt | [
0.2500380575656891,
0.08418413251638412,
-0.6335923671722412,
-0.06823097914457321,
0.6209339499473572,
0.45948952436447144,
1.1179914474487305,
0.8939393758773804,
0.03495776653289795,
0.3214131295681,
-0.29884105920791626,
1.1602115631103516,
-0.46464625000953674,
0.12938536703586578,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Example input: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Example output: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Example explanation: The Farsi sentence is correctly translated into Japanese, because the meaning is preserved.
Q: اگر فردا استرالیا ناپدید شود واکنش درست این خواهد بود که ما وحشت کنیم.
A: | 例えばもし明日オーストラリアが突然消えるとしたら恐怖はたぶんふさわしい反応です | 3 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
0.26997455954551697,
1.1929824352264404,
-0.3625599145889282,
0.015405036509037018,
-0.7991710901260376,
-0.37140244245529175,
1.1766209602355957,
0.16635797917842865,
-0.1046489030122757,
-0.5728620886802673,
-1.0359911918640137,
0.4635045826435089,
-0.932679295539856,
0.04393765330314636... |
This task is about translating a given Spanish language sentence to English.
Example Input: Cuando empiece a grabar, cada detalle debería estar claramente definido: el reparto, el guion, las localizaciones necesarias, el material que podría necesitar y todos los pequeños detalles que hacen de su vídeo algo especial.
Example Output: When you start shooting, every detail should be clearly layed out: the cast, the story, the locations you need, the equipment that you might need, and all the tiny details that make your video something special.
Example Input: Cuando se me pregunta qué enseño, por una persona que no me conoce, que no conoce mi enseñanza, no conoce las palabras utilizadas en esta sub-cultura particular, la respuesta más directa que puedo ofrecer es que simplemente enseño que la felicidad vive dentro de ti, la paz vive dentro de ti.
Example Output: When I am asked what I teach by someone who doesnât know me or know my teaching, doesn't know the words that are used in this particular sub-culture, the most direct answer I can give is that I simply teach that happiness is alive inside you, peace is alive inside you.
Example Input: Podríamos simplementes castigarles, sin matarlos.
Example Output: | We wouldn't have to be so brutal today, of course. We could simply punish, without sentencing someone to death.
| 3 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.24254590272903442,
-0.08119920641183853,
0.047840043902397156,
0.3108014464378357,
0.2711679935455322,
-0.6377382278442383,
0.2159728854894638,
1.5183091163635254,
-0.9001194834709167,
0.12811802327632904,
0.1525292545557022,
-0.0254497267305851,
-0.09232833981513977,
-0.506968855857849... |
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "against". If there's no causal relationship between the two, answer with "none".
[Q]: Process: -A mold spore floats through the air -The spore lands on a piece of bread -The spore grows hyphae into the bread -The mold forms a colony -Sporangiophores grow upward -The mold sends out spores.
Question: What is the effect of there is no spores in the area on less mold forming on bread.?
[A]: for
[Q]: Process: -Minerals fill spaces between bits of sediment -The sediments become glued together -The glued together parts become hard like cement -The sediment becomes a big rock -The rocks erode slowly -The rocks come apart -The rocks become smaller rocks -The rocks continue to erode into smaller rocks -The process starts again.
Question: What is the effect of prices for aluminum fall on sediment becomes a smaller rock.?
[A]: none
[Q]: Process: -Aluminium cans are put into a recycling bin -Aluminium cans are then collected and taken to a treatment plant -At the treatment plant the aluminium is sorted and cleaned -Readied for reprocessing -The aluminum cans go through a re-melt process -Turned into molten aluminium -The molten aluminum is made into large blocks called ingots -The ingots are sent to mills and are rolled out into thin sheets -The rolls are ready to be made into new aluminum products.
Question: What is the effect of more paddles available on more aluminum cans are re-melted.?
[A]: | none
| 5 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
0.2993133068084717,
0.6442244052886963,
-0.9140859842300415,
0.03738969564437866,
-0.18477821350097656,
-0.5996366739273071,
-0.22021913528442383,
1.3138182163238525,
-0.026796279475092888,
0.32642948627471924,
-0.11779677867889404,
0.5694212913513184,
-0.46478644013404846,
0.3980981707572... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' category. The sentence contains motion if it (i) involves the movement of a physical object. (ii) contains verb in present tense indicating the action performed. Sometimes there can be verb which indicates a motion but the motion might have happened in the past and the answers to such sentences is 'No'
The man stops playing the bagpipe.
Output: | No | 1 | NIv2 | task1517_limit_classfication | zs_opt | [
-0.5372763872146606,
0.11992298066616058,
0.23677831888198853,
0.5878693461418152,
-0.12404784560203552,
-0.18326960504055023,
0.1775987148284912,
0.957909345626831,
0.3950154781341553,
0.18041351437568665,
-0.2538703382015228,
-0.6241639852523804,
-0.11221341788768768,
-0.1111485809087753... |
Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Q: Les animaux, les oiseaux, les plantes, la saleté, et les rochers sont trouvés dans le chemin.
A: | Les animaux, les oiseaux, les plantes, la saleté, & les rochers sont trouvés dans le répertoire. | 4 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.043164994567632675,
0.8206473588943481,
-0.6130141019821167,
-0.2557561993598938,
-0.12477539479732513,
-0.474290668964386,
0.2987513542175293,
0.6633854508399963,
-0.3260079622268677,
-0.052633896470069885,
-0.7000579833984375,
-0.27419203519821167,
-0.45304763317108154,
-0.27945560216... |
Q: In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woman" and "man".
W: Susan has been ill for a few days. Shall we go and see her in hospital? M: Yes, but she is now back home. She just got out this morning.
A: | What do we learn about Susan? (A) She is still in hospital. (B) She left hospital this morning. (C) She is in very good health. | 7 | NIv2 | task246_dream_question_generation | zs_opt | [
0.46571552753448486,
0.5971451997756958,
-0.36397814750671387,
-0.7204919457435608,
0.3200700879096985,
-0.25861650705337524,
0.41481637954711914,
0.5588796138763428,
0.431433767080307,
0.03488964959979057,
-0.33196866512298584,
0.9297585487365723,
0.8149706721305847,
-0.23273462057113647,... |
This task is to translate a news commentary given in English language into French language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
[Q]: Indeed, as a pillar of export-oriented modernity, Park Chung-hee was once lionized as the archetype of a modernizing political leadership in military-authoritarian states.
[A]: En effet, en tant que pilier de la modernité orientée vers l’exportation, Park Chung-hee fut une fois adulé comme l’archétype d’une gouvernance politique modernisatrice dans les états militaires autoritaires.
[Q]: Indeed, last year saw what may be the largest accounting fraud ever conducted, as a mega-surplus of more than $3trillion for the years 2002 to 2011 was transformed into a $2 trillion deficit.
[A]: De fait, l'an dernier fut le témoin de ce qui est peut-être la plus grosse fraude comptable jamais mise en place, puisqu'un surplus gigantesque de plus de 3 billions de dollars pour les années 2002 à 2011 s'est transformé en déficit de 2 billions de dollars.
[Q]: Falling birth rates challenge pension systems more than rising longevity, because they imply a rising old-age dependency ratio even if retirement ages increase in line with life expectancy.
[A]: | La baisse des taux de natalité représente un plus grand défi pour les régimes de retraite que l’augmentation de la longévité, parce qu’elle implique une hausse du ratio de dépendance des personnes âgées, même si l'âge de la retraite augmente au même rythme que l'espérance de vie.
| 5 | NIv2 | task1371_newscomm_translation | fs_opt | [
-0.4228884279727936,
0.7576711177825928,
-0.2903672754764557,
-0.3619096577167511,
-0.3491860330104828,
0.29419583082199097,
0.6986108422279358,
0.9448574781417847,
0.7229136824607849,
0.2042853832244873,
-0.47449058294296265,
0.6225094199180603,
-0.7456575036048889,
0.512621283531189,
0... |
Given the task definition and input, reply with output. Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
番組制作者は、ジャーナリストのボビー・パタク氏の撮影・執筆によるドキュメンタリーであり、「数々のモスクが知名度の高い全国的組織によって運営されているが、そういった組織は現代化と他宗教との対話に身を捧げている」と主張しているが、実は「偏狭な宗教観や過激派思想のメッセージを流布している」ことを明らかにしていると主張している。
| Pembuat program mengklaim film dokumenter itu, difilmkan dan ditulis oleh jurnalis Bobby Pathak, mengungkap "sejumlah masjid yang dikelola oleh organisasi-organisasi kaliber nasional yang mengklaim didedikasikan untuk sikap sederhana dan dialog dengan agama-agama lainnya" namun pada faktanya menyebarluaskan "sebuah pesan kefanatikan dan keekstreman keagamaan." | 5 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
0.30251672863960266,
-0.004074232652783394,
-0.14495685696601868,
-0.11474893987178802,
-0.03301548957824707,
0.12127584218978882,
0.6359977126121521,
-0.0391448549926281,
-0.19944043457508087,
0.20070022344589233,
-1.0125782489776611,
0.7022120952606201,
-0.8620947599411011,
0.20984652638... |
Detailed Instructions: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: プランBの決定は、OCTに提案されて承認されなかった67の処方薬のうち、諮問委員会が変更を認めた後でさえも承認されなかった唯一のものであった。
A: | Ang desisyon na Planong B ang kaisa-isa sa 67 na resetang mungkahi sa pagbabago sa OTC na di naaprubahan, kahit na pagkatapos na naaprubahan ang mga pagbabago ng mga komite ng pagbabalita. | 9 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
0.1810183823108673,
0.21308574080467224,
-0.10074862837791443,
-0.8483001589775085,
0.17396359145641327,
-1.4280309677124023,
0.13745775818824768,
-0.0455864779651165,
-0.07142496109008789,
0.04588424414396286,
-0.37914276123046875,
-0.08189740031957626,
-0.23568201065063477,
0.79391098022... |
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".
Q: Abstract: PURPOSE OF REVIEW The aim of this study is to highlight some recent uses of serum metabolomics in human and animal studies. The main themes are the importance of understanding the underlying variation in human metabolism and the use of serum metabolomics in disease profiling. RECENT FINDINGS Several studies have attempted to use serum metabolomics to develop noninvasive biomarkers of disease and/or track the consequences of nutritional and genetic interventions. Many advances have been made with common changes being identified in ageing, the menopause and cancer but several problems of interpretation have emerged from these studies. These include the small sample sizes in most human studies and the differences between human and rodent metabolomes. However, a metabolic screen of over 1000 'healthy' humans (the Humsermet project) has highlighted many variables that may be used to refine the interpretation and design of previous and future human studies alike, in addition to data mining. SUMMARY Some common serum metabolome alterations have been identified but many inconsistencies remain. The construction of a human serum metabolome database should be informative in the design of future human and animal model studies.. Title: hPrimpol1/CCDC111 is a human DNA primase-polymerase required for the maintenance of genome integrity.
A: | no | 4 | NIv2 | task1587_scifact_classification | zs_opt | [
0.04145443066954613,
-0.026467546820640564,
-0.5635579228401184,
0.5526503324508667,
-0.06499285995960236,
-0.4534666836261749,
0.5713966488838196,
0.39678093791007996,
0.0999125987291336,
0.048169009387493134,
-0.5982903242111206,
-0.08967979997396469,
-0.6734329462051392,
0.4052707254886... |
Teacher:Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
Teacher: Now, understand the problem? Solve this instance: Minute is part of hour
Student: | minute PartOf hour | 6 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
0.341037392616272,
1.1503896713256836,
0.42007139325141907,
-0.3456314504146576,
-0.5158486366271973,
-0.543919026851654,
0.5868964195251465,
0.22667790949344635,
0.3891593813896179,
-0.7651406526565552,
-0.4955293536186218,
0.12366154044866562,
-0.7119910717010498,
-0.12924125790596008,
... |
instruction:
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
question:
Sentence1: Jeff had been job searching for a while now. Sentence2: One day h got two offers from two different companies! Sentence3: One job paid more while the other job had much better benefits. Sentence4: Jeff thought about which one to take all day long. Sentence5: He decided to take the higher paying job.
answer:
Jeff
question:
Sentence1: Anna was jogging with her phone in her pocket. Sentence2: Suddenly she heard a noise and looked down. Sentence3: Her phone had fallen out of her pocket! Sentence4: Scared, she bent down to pick it up. Sentence5: She was so relieved to see it wasn't cracked!
answer:
Anna
question:
Sentence1: Sarah starts a new dance class today. Sentence2: Her teacher is very nice. Sentence3: She learned the teddy bear dance. Sentence4: Sarah went home to practice the dance. Sentence5: After practicing, Sarah performed the dance for her family.
answer:
| Sarah, Teacher, Family
| 9 | NIv2 | task292_storycommonsense_character_text_generation | fs_opt | [
0.06952735036611557,
-0.22600939869880676,
-0.5140594244003296,
0.23739539086818695,
0.5194939374923706,
-0.26529374718666077,
0.14515191316604614,
1.0093134641647339,
-0.4044869840145111,
-0.17637884616851807,
-0.5614974498748779,
-0.34868893027305603,
-0.31795889139175415,
-0.18751198053... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with the list of its weights, for example, equation weights = [6, 4] represent the equation 6x + 4 and equation weights = [1, 3, 4] represent the equation 1x^2 + 3x + 4. In this task, you need to compute the result of a polynomial expression by substituing a given value of x in the given polynomial equation. Equation weights are given as a list.
x = 3, equation weights = [4, 2]
Solution: 14
Why? Here, the weights represent the polynomial: 4x + 2, so we should multiply 4 by 3, and add it to 2 which results in (4*3 + 2 =) 14.
New input: x = 7, equation weights = [6, 5]
Solution: | 47 | 0 | NIv2 | task090_equation_learner_algebra | fs_opt | [
0.2931850254535675,
0.8519469499588013,
-0.6369643807411194,
-0.8177103996276855,
-0.3038182854652405,
-0.3573214113712311,
0.9556929469108582,
0.8198886513710022,
0.09735870361328125,
-0.8670629262924194,
-0.48747584223747253,
0.7081236839294434,
-0.6205035448074341,
0.10360176116228104,
... |
Given a travel related situation, and given a specific question about the situation, summarize the question into a title
Q: What's the cheapest way to get to Amherst, MA from either BDL or BOS airport? All shuttles from BDL to Amherst are around $55, which is the same price as that of Lyft. Peter Pan from Boston costs $45+5 but takes way more time. Are there any other options? Renting a car is not an option. I will be traveling alone and will not have any luggage. If flying to BDL, it is likely that I will arrive around 3 PM.
A: Cheapest way to get to Amherst, MA from BDL or BOS
****
Q: I am considering taking a trip to England this summer to check out a university. For money (and experience) purposes, I would prefer to travel alone. My plan is to fly on Primera Air from BOS to STN. According to Primera's site, I should be fine flying with them alone as a 17 year-old, but will entering the UK pose an issue? All I've found is a page on gov.uk that only seems to apply if you are applying for a visa, not if you are entering visa-free (as I would be from the US).
I do have friends in the UK that I would be staying with.
A: Can a minor (17 years old) travel from the US to the UK unaccompanied?
****
Q: I have an F-1 international student visa which is still valid, and my passport is still valid, I just graduated and my I-20 expired 4 days ago. Can I still fly within the US? Will TSA agent ask about my I-20?
Also, I also have an expired driver's licence; I tried to renew, but the DMV gave me a temporary paper version. If I present the expired driver licence and the temporary one, would this be accepted?
A: | Can I travel within the US with expired I-20 and valid F-1 visa?
****
| 4 | NIv2 | task1639_doqa2.1_travel_text_summarization | fs_opt | [
0.30477362871170044,
0.15430948138237,
-0.5494364500045776,
-0.518222987651825,
0.21043577790260315,
0.25710606575012207,
0.7572438716888428,
0.78559410572052,
0.28336936235427856,
0.18252623081207275,
-0.2693347632884979,
0.7224279642105103,
-0.0008523662108927965,
-0.2730613648891449,
... |
Q: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
As pessoas vinham de toda a cidade para estar naqueles parques.
A: | Ludzie przyszli z całego miasta, żeby pobyć w tych parkach. | 7 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
0.08353932201862335,
1.5655996799468994,
-0.46226784586906433,
-0.5845106840133667,
-0.6003567576408386,
-1.698108434677124,
0.1153583750128746,
-0.6821814775466919,
0.9207831621170044,
-0.2555393874645233,
-0.5401495695114136,
0.8965542316436768,
-0.5908910036087036,
0.5039893388748169,
... |
Given the task definition and input, reply with output. 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".
Paragraph: Glycyrrhetinic acid (GA) is a major constituent of the herb Glycyrrhiza glabra, and many of its derivatives demonstrate a broad spectrum of antiviral activities. In the current study, 18 water-soluble b-cyclodextrin (CD)-GA conjugates, in which GA was covalently coupled to the primary face of b-CD using 1,2,3-triazole moiety along with varying lengths of linker, were synthesized via copper-catalyzed azide-alkyl cycloaddition reaction. Benefited from the attached b-CD moiety, all these conjugates showed lower hydrophobicity (AlogP) compared with their parent compound GA. With the exception of per-O-methylated b-CD-GA conjugate (35), all other conjugates showed no significant cytotoxicity to MDCK cells, and these conjugates were then screened against A/WSN/33 (H1N1) virus using the cytopathic effect assay. The preliminary results indicated that six conjugates showed promising antiviral activity, and the C-3 and C-30 of GA could tolerate some modifications. Our findings suggested that GA could be used as a lead compound for the development of potential anti-influenza virus agents.
Title: Synthesis and structure-activity relationship studies of water-soluble b-cyclodextrin-glycyrrhetinic acid conjugates as potential anti-influenza virus agents
| True | 5 | NIv2 | task1162_coda19_title_classification | zs_opt | [
-0.48992210626602173,
0.4753512144088745,
-0.33396777510643005,
-0.61124187707901,
0.015477098524570465,
-0.83431476354599,
0.4408950209617615,
0.7786753177642822,
0.06765185296535492,
0.3762056827545166,
-1.0543289184570312,
0.25511977076530457,
-0.5365980863571167,
-0.3655841648578644,
... |
Detailed Instructions: 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.
Q: He said rules and regulations, such as model building bye-laws, also need to be framed for water conservation and management.
A: | તેમણે જણાવ્યું હતુ કે, જળસંચય અને વ્યવસ્થાપન માટે મોડલ બિલ્ડિંગનાં પેટાકાયદાઓ જેવા નિયમો અને નિયમનો બનાવવાની જરૂર છે. | 9 | NIv2 | task1079_pib_translation_english_gujarati | zs_opt | [
-0.4770153760910034,
0.3454020619392395,
0.1485348790884018,
-0.31384408473968506,
0.1536390334367752,
-2.0815858840942383,
-0.029773065820336342,
-0.4180282950401306,
-1.0286959409713745,
0.06213442236185074,
-0.4851325750350952,
-0.25779813528060913,
-1.2121789455413818,
0.34351745247840... |
You will be given a definition of a task first, then some input of the task.
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make your responses similar to the given correct answer. To this end, try to keep both the length and the style as similar as possible between the correct and the incorrect answer. To make your incorrect answers more difficult, try to incorporate words from context. To avoid being predictable or repetitive, try to add more variations and complexity.
Context: We had lunch at Maria Luisa pizzeria Paris . Pizza , is always a good lunch . We made sure to eat a lot , to fill our stomachs . Dad surprised us by taking us to Parc Zoologique .
Question: What may be my favorite type of food ?
Correct Answer: Pizza.
Output: | Sandwiches. | 1 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
-0.160376638174057,
0.7891044616699219,
0.09672006964683533,
0.6852808594703674,
-0.168815016746521,
0.12408497184515,
0.5802707076072693,
0.5158072113990784,
0.38416001200675964,
-0.025700468569993973,
-0.45117488503456116,
-0.5876888036727905,
-0.4998725652694702,
-0.22140376269817352,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
One example is below.
Q: Qui c'è la medusa mortale con le ali ad X.
A: Aquí esta la medusa ala-x de la muerte.
Rationale: The Italian sentence is correctly translated into Spanish, because the meaning is preserved.
Q: Ora, se riflettete sulla democrazia da questo punto di vista una nuova nozione pluralistica della democrazia sarebbe quella in cui si riconosce che esistono molteplici interessi diversi, molteplici agende diverse, molteplici individui differenti, molteplici diversi punti di vista.
A: | Entonces, si piensan la democracia desde esta perspectiva, una nueva noción pluralista de la democracia reconocería que existen muchos intereses diferentes, muchas agendas diferentes, muchos individuos diferentes, muchos puntos de vista diferentes. | 9 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.3846471309661865,
0.37854811549186707,
-0.2270003855228424,
-0.06901702284812927,
-0.608432412147522,
-0.8227108716964722,
0.3513263463973999,
1.2893130779266357,
0.0921240895986557,
-0.25461745262145996,
0.07840866595506668,
0.17181798815727234,
-0.2939683198928833,
0.470215380191803,
... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Statement: Susie Lee and her husband own 17 homes across the country and use their private jet to take vacations, and invest in companies like Walmart, Halliburton and GEO Group.
Subject: candidates-biography
Student: | True | 6 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.7784637212753296,
0.4196585416793823,
-0.5459842681884766,
-0.24158836901187897,
-0.056829892098903656,
-0.1637076884508133,
0.8167377710342407,
-0.09482251852750778,
0.04601782187819481,
0.009247126057744026,
0.20653215050697327,
0.6371588706970215,
-0.11496197432279587,
-0.31104326248... |
Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
[Q]: Question: What type of competition occurs between members of the same species? Answer: intraspecific
[A]: Intraspecific competition occurs between members of the same species. For example, two male deer may compete for mates by clashing their antlers together.
[Q]: Question: What part of the sweet potato store sugar from photosynthesis as starch? Answer: roots
[A]: Secondary growth of sweet potato roots provides more space to store food. Roots store sugar from photosynthesis as starch. What other starchy roots do people eat?.
[Q]: Question: What is the only mechanism that consistently causes adaptive evolution? Answer: natural selection
[A]: | 23.4 Natural selection is the only mechanism that consistently causes adaptive evolution.
| 5 | NIv2 | task593_sciq_explanation_generation | fs_opt | [
0.07919220626354218,
0.33613890409469604,
-0.12397511303424835,
0.21194833517074585,
-0.7694047689437866,
-0.30427175760269165,
-0.5872842073440552,
0.7310483455657959,
0.3257397413253784,
-0.46353524923324585,
-0.9946589469909668,
0.3330497145652771,
-0.9137251377105713,
0.043771915137767... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
[571, 969, 3069, 7455, 'g', 'Z', 237, 8231, 71, 'X', '873', 'N', 'u', 'c', 'n', '759', 'p', 'I', '1007', 'O', 'V', '9137', 'G', '1727', '7437', 't', '8909', 'L', 'C', 'R', 3217, 1445, 3493, 'Y', 'G', 6747, 751, 1347, 7337, 'Z'], ['z', 'U', 477, 'm', 'y', 7909, 413, 6315, 'v', 7173, 1403, 'F', 'M', 7559, 7589, 9021, 'U', 2859, '873', 'N', 'u', 'c', 'n', '759', 'p', 'I', '1007', 'O', 'V', '9137', 'G', '1727', '7437', 't', '8909', 'L', 'k', 3817, 'Q', 1165] | 873, N, u, c, n, 759, p, I, 1007, O, V, 9137, G, 1727, 7437, t, 8909, L | 0 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.6519219279289246,
0.03206297755241394,
-0.17394492030143738,
-0.41906440258026123,
-0.17244835197925568,
-0.5639128684997559,
0.344149649143219,
0.5581914782524109,
-0.5744820833206177,
0.1782969832420349,
-0.5256214141845703,
-0.0812949538230896,
-0.2763856053352356,
0.3286744356155395... |
Given the task definition and input, reply with output. 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’.
Actually i deleted my old website..now i m blogging at magicalsongs.blogspot.com
| ham | 5 | NIv2 | task109_smsspamcollection_spamsmsdetection | zs_opt | [
-1.207713007926941,
0.16108368337154388,
0.8201762437820435,
-0.5208644866943359,
0.0265014860779047,
-0.8066694736480713,
-0.14893244206905365,
0.07478729635477066,
-0.4590385854244232,
0.45564305782318115,
-0.604967474937439,
0.4281553626060486,
-0.4359704554080963,
-0.4136570394039154,
... |
Definition: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Input: Context: Luna was applying to nursing school and asked Lee for a recommendation letter.
Answer: finish the nursing prerequisites
Output: | What did Luna need to do before this? | 2 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.640150785446167,
0.6784597039222717,
-0.31767529249191284,
-0.40643370151519775,
-0.22593019902706146,
0.4207812547683716,
-0.7028642892837524,
0.2751418948173523,
-0.0012151908595114946,
-0.09990090876817703,
-0.21499386429786682,
0.38603460788726807,
-0.28584545850753784,
0.5420528054... |
Detailed Instructions: In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Q: Context: Bailey knew she couldn't do the job herself. Bailey joined forces with the volunteers.
Question: Why did Bailey do this?
Options: (A) delegate tasks (B) needed freebies from the volunteers (C) needed skills of the volunteers
A: | C | 9 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
-0.07138874381780624,
0.407062292098999,
0.027814630419015884,
0.10946705937385559,
0.01746330037713051,
-0.4792417585849762,
0.48691388964653015,
0.43929213285446167,
0.17477546632289886,
0.22362062335014343,
-0.7330716252326965,
-0.09830926358699799,
0.13225337862968445,
-0.5413239598274... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, you should answer with Good.
What is the scientific name of the tortoise ?
Solution: Good
Why? The output for the query is Good because the query has no grammatical, punctuation or spelling errors.
New input: How many tons are 160,000 ounces ?
Solution: | Good | 0 | NIv2 | task673_google_wellformed_query_classification | fs_opt | [
-0.1682112216949463,
0.41696491837501526,
0.08662301301956177,
-0.0578337162733078,
0.0075570037588477135,
-0.1983429491519928,
0.2927025556564331,
-0.013171916827559471,
-0.1832471638917923,
0.19316242635250092,
-0.23039719462394714,
-0.21541282534599304,
-0.48153015971183777,
-0.10615396... |
Detailed Instructions: 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'.
Q: Dialogue 1: 'y you annoyed i said i got woke up lesbian talks'. Dialogue 2: '10 seconds my personal best is 30 seconds not sure i can hit the 10 second mark what are you gonna do rn'.
A: | yes | 9 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.5790723562240601,
-0.046709831804037094,
0.4405955672264099,
-0.19585859775543213,
-0.5615652799606323,
0.16210170090198517,
0.8090150356292725,
0.1299789845943451,
-0.13105647265911102,
-0.13156944513320923,
-0.01860378310084343,
-0.21350529789924622,
-1.0286239385604858,
0.11107911169... |
Given the task definition and input, reply with output. Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
concept: Tom Hanks question: what movie did tom hanks won his first oscar?
| ['Big'] | 5 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.7877600193023682,
0.7696154713630676,
0.31685540080070496,
0.09105115383863449,
-0.45839816331863403,
-0.15925437211990356,
0.37831205129623413,
0.09722309559583664,
0.5343968272209167,
-0.07421866059303284,
-0.20157237350940704,
0.22628368437290192,
-0.4663233160972595,
-0.469794273376... |
A text is given in Urdu. Translate it from the Urdu language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: عالمی بینک کی لاجسٹکس پرفارمنس انڈیکس میں بھی ہندوستان 19 درجات آگے بڑھا ہے۔
A: | जागतिक बँकेच्या 2016 च्या लॉजिस्टिक्स कामगिरी निर्देशांकाच्या यादीतही भारत 19 स्थांनांनी वर गेला आहे. | 4 | NIv2 | task990_pib_translation_urdu_marathi | zs_opt | [
-0.09005343168973923,
0.8958163261413574,
-0.408652663230896,
-0.4845733046531677,
-0.16075283288955688,
-0.4714629054069519,
0.8679547309875488,
0.27373600006103516,
0.6284675598144531,
-0.543800950050354,
-1.0468049049377441,
0.4180663824081421,
-0.21770460903644562,
0.6021759510040283,
... |
Detailed Instructions: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the blank with a question, it should have an answer from the agent in the given dialogue. Fill the gap marked with underline.
Problem:customer: Hello,.
agent: Hello. How may I amend you today?
customer: I am David Miller.
agent: Ok.
customer: I have a desire to travel in ferry, so I am planning to travel in Staten Island Ferry in New York, EWR.
agent: Ok.
customer: Can you please make a reservation with connected flight?
agent: Sure. Can you mention your travelling dates?
__
agent: May I have your departure point?
customer: My boarding point is Dallas & Fort Worth, DFW.
agent: What is your price limit to travel?
customer: Price should be under 500.
agent: There is a plane Frontier which matches exactly to your request. Shall I proceed to book with flight 1002?
customer: Ok, proceed.
agent: Reservation has been confirmed.
customer: Thank you for your help.
agent: Thank you.
Solution: | customer: My journey dates on 10/27 and 10/29. | 8 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
0.05402735620737076,
-0.3361150622367859,
-0.4739038348197937,
-1.1192712783813477,
0.026732532307505608,
0.16139152646064758,
0.3763647675514221,
0.09601457417011261,
0.11793433129787445,
0.260010689496994,
0.37040555477142334,
-0.24968795478343964,
-0.3659060597419739,
0.1269849836826324... |
In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabets are Tied'.
--------
Question: ['4275', '71', '1759', 'K', 'Q', 't', '823', '8153', 'o', 'c', '8645', '53', '5653', '1579', '7161', 'Q', 'f', 's', 'F', 'S', 'O', 'S', 'l', 'E', '1611', 'K']
Answer: Alphabets Win
Question: ['3427', 'L', '2369', 'U', '5841', 'y', 'l', '8701', 'm', 'b', '1167', '7189', '6851', '8071', 'v', 'z', '9563', '2241', 'S', 'u', '5425', '5713', 'n', 'P', '8101', 'h', 'B', 'Y', 'H', '559', '1021', '5957', '2281', 'F', '7021', '1819', '1745']
Answer: Numbers Win
Question: ['J', 'O', 'J', '5317', 'L']
Answer: | Alphabets Win
| 7 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
0.3060590624809265,
0.3524218499660492,
-0.6901707649230957,
-0.23654504120349884,
-0.17273566126823425,
-0.5548120737075806,
0.5222117900848389,
0.2122006118297577,
-0.6393263339996338,
0.04561515524983406,
-1.023474931716919,
0.0611833855509758,
-0.18028461933135986,
0.3380216956138611,
... |
Given the task definition and input, reply with output. In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay special attention to the marked number, think about what (unwritten) information the marked number holds inside, choose the most adequate word(s) from the optional answers. If none of them seems right to you, there's also an option for other. If your answer is "REFERENCE", also write the reference entity, otherwise write the implicit option name. Options to choose from are:
REFERENCE: Some object which is being mentioned in the text before or after the target number. The reference answer has a higher priority than any other. If both Reference and another answer are possible, prioritize the Reference.
YEAR: Describing a calendric year
AGE: Describing someone's age
CURRENCY: Reference to some monetary value e.g dollar, euro etc.
PEOPLE: Describing a single/plural persons
TIME: Describing a time of the day. Usually you can add the word o'clock after those numbers.
OTHER: Some other option, which isn't listed here.
Nadia: Perhaps when we bear our children , grandchildren , when I 'm _ 80 _ and my hair becomes grey and frail , when my teeth starts to fall off , and my skin wrinkled , would you still love me then ?
| AGE | 5 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
-0.4307404160499573,
0.7966912388801575,
-0.28919801115989685,
0.1720617711544037,
-0.623930037021637,
-0.17067651450634003,
1.4887449741363525,
0.7645528316497803,
0.33150148391723633,
0.02453090436756611,
-0.4222276508808136,
0.5124242305755615,
-0.3421470522880554,
-0.03397562727332115,... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'Text one' if the first sentence is simpler. Otherwise output 'Text two'.
Q: Text one: Marant is a commune in the Pas-de-Calais department in the Nord-Pas-de-Calais region of France.
Text two: Marant is a territorial in the Pas-de-Calais department in the Nord-Pas-de-Calais region of France.
A: Text two
****
Q: Text one: McCool defeated Natalya to become the inaugural Divas Champion at The Great American Bash on July 20, 2008.
Text two: McCool defeated Natalya to become the inaugural Divas Champion at The Great American Bash on July 20, 2008.
A: Text one
****
Q: Text one: The first use of the word was for the limbs of fish, but has been extended to include other animal limbs and man-made devices.
Text two: The word was first used for the limbs of fish. The word can now be used for other animal limbs and man-made devices.
A: | Text two
****
| 4 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.8076509237289429,
0.27784761786460876,
-0.17312633991241455,
0.1339055597782135,
0.2933776080608368,
-0.2993921637535095,
0.7758901715278625,
0.12229634076356888,
-0.48518866300582886,
0.20398718118667603,
-0.45947766304016113,
-0.242045059800148,
-0.19524434208869934,
0.112088978290557... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
Let me give you an example: Sentence 1: The cashier was counting the dollar bills at her desk.
Sentence 3: Everyone panicked and started to scream.
Sentence 4: The men threatened the people to remain quiet.
Sentence 5: The cashier handed them the cash so they would go away.
Given Sentence 2: Two men rushed into the store and held their guns up.
The answer to this example can be: Yes
Here is why: People panic when somebody holds their guns up. Sentence 2 correctly connects Sentence 1 with rest of the story. So, the answer is 'Yes'.
OK. solve this:
Sentence 1: It rains hard where I live.
Sentence 3: I called a taxi to get to work
Sentence 4: It took me to my motorcycle
Sentence 5: My motorcycle wouldn't even work
Given Sentence 2: Their plane was having mechanical issues.
Answer: | No | 8 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.16329675912857056,
0.29811134934425354,
-0.2994629740715027,
0.1682087779045105,
0.3148224651813507,
-0.4622482657432556,
0.2127658724784851,
1.1417462825775146,
0.07704709470272064,
-0.08368842303752899,
-0.3802046775817871,
-0.15528632700443268,
-1.0097362995147705,
-0.314561069011688... |
Teacher: In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. He is one of the first American composers of international renown, though his music was largely ignored during his life, and many of his works went unperformed for many years. Over time, he came to be regarded as an "American original". He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Context_2 : Daniel Evan Freeman (born 27 April 1959) is an American musicologist who specializes in European art music of the eighteenth century, in particular the musical culture of eighteenth-century Prague and the Bohemian lands. He is also active as a pianist and music editor. Context_3 : Art music (also known as Western classical music, cultivated music, serious music, canonic music, and more flippantly, real music or normal music) is an umbrella term that refers to musical traditions, implying advanced structural and theoretical considerations and a written musical tradition. "Serious" or "cultivated" music are terms frequently used as a contrast for ordinary, everyday music (popular and folk music, also called "vernacular music"). After the 20th century, art music was divided into two extensions: "serious music" and "light music". Context_4 : In the history of European art music, the term "common practice period" refers to the era between the formation and the dissolution of the tonal system. Though there are no exact dates for this phenomenon, most features of the common-practice period persisted from the mid to late baroque period, through the Classical and Romantic periods, or roughly from around 1650 to 1900. While certain prevailing patterns and conventions characterize the music of this period, the time period also saw considerable stylistic evolution. Some conventions evolved during this period that were rarely employed at other times during what may still be labeled "common practice" (for example, Sonata Form). Thus, the dates 1650–1900 are necessarily nebulous and arbitrary borders that depend on context. The most important unifying feature through this time period concerns a harmonic language to which modern music theorists can apply Roman numeral analysis. Context_5 : The Festival Oude Muziek Utrecht ("Utrecht Early Music Festival") is an annual music festival that showcases and celebrates early European art music. The ten-day festival takes place in the Dutch city of Utrecht, and begins in August. The programme comprises concerts, activities, lectures, exhibitions, and a symposium. Context_6 : Assaf Shelleg (Hebrew: אסף שלג ), is a musicologist and pianist, a senior lecturer of musicology at The Hebrew University of Jerusalem. He was previously the Schusterman Visiting Assistant Professor of Musicology and Jewish Studies in the Department of Religious Studies at the University of Virginia (2011–14), and had taught prior to that as the visiting Efroymson Scholar in the Jewish, Islamic & Near Eastern Languages and Cultures Department at Washington University in St. Louis (2009–11). Shelleg specializes in twentieth-century Jewish and Israeli art music and has published in some of the leading journals in both musicology and Israel Studies on topics ranging from the historiography of modern Jewish art music to the theological networks of Israeli art music. Shelleg's book, "Jewish Contiguities and the Soundtrack of Israeli History", appeared in November 2014 with Oxford University Press. The book studies the emergence of modern Jewish art music in central and Western Europe (1910s-1930s) and its translocation to Palestine/Israel (1930s-1970s), exposing the legacies of European antisemitism and religious Judaism in the making of Israeli art music. Moving to consider the dislocation of modern Jewish art music the book examines the paradoxes embedded in a Zionist national culture whose rhetoric negated its pasts, only to mask process of hybridizations enchained by older legacies. "Jewish Contiguities" has won the 2015 Engle Prize for the study of Hebrew Music, and the 2016 Jordan Schnitzer Book Award. Context_7 : Vocal harmony is a style of vocal music in which a consonant note or notes are simultaneously sung as a main melody in a predominantly homophonic texture. Vocal harmonies are used in many subgenres of European art music, including Classical choral music and opera and in the popular styles from many Western cultures ranging from folk songs and musical theater pieces to rock ballads. In the simplest style of vocal harmony, the main vocal melody is supported by a single backup vocal line, either at a pitch which is above or below the main vocal line, often in thirds or sixths which fit in with the chord progression used in the song. In more complex vocal harmony arrangements, different backup singers may sing two or even three other notes at the same time as each of the main melody notes, mostly with consonant, pleasing-sounding thirds, sixths, and fifths (although dissonant notes may be used as short passing notes). Context_8 : David Wallis Reeves (February 14, 1838 – March 8, 1900), also known as D. W. Reeves or Wally Reeves, was an American composer, cornetist, and bandleader. He developed the American march style, later made famous by the likes of John Philip Sousa, and his innovations include adding a countermelody to the American march form in 1876. Sousa called Reeves "The Father of Band Music in America", and stated he wished he himself had written Reeves' "Second Regiment Connecticut National Guard March". Charles Ives also borrowed from the "Second Connecticut" on four occasions. Context_9 : "Indian classical music is one of many forms of art music that have their roots in particular regional cultures. For other "classical" and art music traditions, see List of classical and art music traditions." Context_10 : Progressive music is music that subverts genre and expands stylistic boundaries outwards. Rooted in the idea of a cultural alternative, musical progressiveness embodies a continuous move between explicit and implicit references to genres and strategies derived from various cultural domains, such as European art music, Celtic folk, West Indian, or African. The word "progressive" comes from the basic concept of "progress", which refers to development and growth by accumulation, and is often deployed in numerous music genres such as progressive country, progressive folk, progressive jazz, and (most significantly) progressive rock. fact_1 : Charles Ives also borrowed from the "Second Connecticut" on four occasions. fact_2 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. fact_3 : He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Question: What is the birthyear of the American composer that borrowed from "Second Connecticut" on four occasions and combined American popular and church-music traditions with European art music?
Solution: 1874May
Reason: From the fact_1 from context _8, and fact _2 and fact _3 from context _1, we can arrive at 1874 May which is accurate answer of given question.
Now, solve this instance: Context_1 : Ludovic Radosavljevic (born 17 August 1989) is a French rugby union player. His position is Scrum-half and he is set to join Top 14 club Castres for the 2017–18 season after having spent the previous nine seasons at fellow Top 14 side Clermont Auvergne. He began his career with Pays d'Aix RC, now known as Provence Rugby, in the third-tier Fédérale 1 before moving to Clermont Auvergne in 2008. Context_2 : The Clermont Set was an exclusive group of rich British gamblers who met at the Clermont Club at 44 Berkeley Square, in London's fashionable Mayfair district now located at 27–28 Curzon Street and called Aspinall's. It was the first London casino opened by John Aspinall after he received a gaming licence under Britain's new gambling law. Clermont Club had become famous among British celebrities at once but Aspinall sold this club in 1972 to Playboy Enterprises; Playboy was forced to sell this club in 1982 when it lost its licence. Context_3 : Jason Clermont (born May 24, 1978) is a former professional Canadian football slotback who retired after ten seasons in the Canadian Football League (CFL) with the BC Lions and Saskatchewan Roughriders. Clermont started his professional career with the BC Lions after being selected in the 2002 CFL Draft. He played amateur football in his hometown of Regina, starting with the Regina Rams junior football club, and continuing with the team after they became affiliated with the University of Regina. While playing university football, Clermont was named an All-Star and All-Canadian, as well as the Most Valuable Player in the Canada West Conference. As a professional, Clermont's honours have included being named the CFL's Most Outstanding Rookie in 2002, Most Outstanding Canadian in 2004 and 2007, as well as the Most Valuable Canadian at the 2004 Grey Cup. Clermont captured a Grey Cup championship with the Lions in 2006. He joined his hometown Roughriders at the start of the 2009 season after being released by the Lions. Context_4 : The Mayfair Set, subtitled Four Stories about the Rise of Business and the Decline of Political Power, is a BBC television documentary series by filmmaker Adam Curtis. It looks at Britain's decline as a world power, the invention of asset stripping in the 1970s, and how buccaneer capitalists shaped the climate of the Thatcher years, focusing on the rise of Colonel David Stirling, Jim Slater, Sir James Goldsmith and Tiny Rowland—members of London's elite Clermont Club in the 1960s. It won a BAFTA Award for Best Factual Series or Strand in 2000. Context_5 : Richard John Bingham, 7th Earl of Lucan (18 December 1934 – disappeared 7 November 1974), commonly known as Lord Lucan, was a British peer suspected of murder who disappeared in 1974. He was born into an Anglo-Irish aristocratic family in Marylebone, the eldest son of George Bingham, 6th Earl of Lucan, by his marriage to Kaitlin Dawson. An evacuee during the Second World War, Lucan returned to attend Eton College, and then from 1953 to 1955 served with the Coldstream Guards in West Germany. He developed a taste for gambling and, skilled at backgammon and bridge, became an early member of the Clermont Club. Although his losses often exceeded his winnings, he left his job at a London-based merchant bank and became a professional gambler. He was known as Lord Bingham during his father's earldom from April 1949 until January 1964. Context_6 : William "Billy" Charles Hill (13 December 1911 – 1 January 1984) was an English criminal, linked to smuggling, protection rackets, and extreme violence. He was one of the foremost perpetrators of organised crime in London from the 1920s through to the 1960s. He project managed cash robberies and, in a clever scam, defrauded London's High Society of millions at the card tables of John Aspinall's Clermont Club. Context_7 : Club Esportiu Ciutat i Provincia de Lleida Basquetbol is a professional basketball team based in Lleida, Catalonia, Spain and plays in the Barris Nord, in LEB Oro league. The club born in the summer of 1997 like a need of unify the basketball in Lleida, with the origin of Maristes team, that played in the Second National Division. The team spend two seasons in the EBA League linked by Bàsquet Manresa and under the name of Baró de Maials. Caprabo Lleida (the new name of the team) jump to the LEB League in 1999 and to the ACB League in 2001. Under the name of Plus Pujol Lleida, the club returns to LEB League in 2005. In 2009, is relegated to EBA League due economic problems and changed the name to Avantmèdic Lleida, but in the next year, they return to LEB Oro League via CB Cornellà. Context_8 : Trident Television Limited was a British holding company with broadcasting interests. Trident acquired Halas and Batchelor (well known for their cartoons), Scarborough Zoo, Windsor Safari Park, Trident Casinos, Playboy Club, Watts & Cory Scenery, Victoria Casino, The Clermont Club, as well as Trident Holdings (Australia Pty Ltd) and several other companies. Context_9 : Régis Kittler (born 6 October 1979 in Mulhouse) is a French football player who currently plays for French club AS Illzach Modenheim in the Championnat de France amateur 2. He serves as captain of the club and plays as a defensive midfielder. Kittler joined his current club in 2005 while the club was playing in the Championnat de France amateur 2. He began his career with hometown club FC Mulhouse and played one season with the club before having short stints with professional clubs Le Havre and Clermont Foot. Kittler returned to Mulhouse in 2001 and spent four seasons with the club before signing with Colmar. Context_10 : John Victor Aspinall (11 June 1926 – 29 June 2000) was an English zoo owner and gambling club host. From middle class beginnings he used gambling to move to the centre of British high society in the 1960s. He was born in Delhi during the British Raj, and was a citizen of the United Kingdom. fact_1 : He project managed cash robberies and, in a clever scam, defrauded London's High Society of millions at the card tables of John Aspinall's Clermont Club. fact_2 : He was born in Delhi during the British Raj, and was a citizen of the United Kingdom. Question: Where was the owner of the Clermont Club born?
Student: | Delhi | 2 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.7318172454833984,
0.3574162423610687,
-0.9423919916152954,
0.8639992475509644,
0.45879343152046204,
-0.25887370109558105,
0.6422711610794067,
0.5560189485549927,
-0.002746365498751402,
0.440451979637146,
0.03574442118406296,
0.6329421997070312,
-0.8995201587677002,
-0.14361044764518738,
... |
Detailed 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
Problem:round_eq { avg { all_rows ; score } ; 145 } = true
Solution: | the average of the score record of all rows is 145 . | 8 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.00797325186431408,
0.011168492957949638,
-0.3588201403617859,
-0.01594640128314495,
-0.03428136557340622,
-0.28434160351753235,
0.45555445551872253,
0.6122989058494568,
0.038438890129327774,
-0.1952185034751892,
-0.5763726234436035,
-0.17970791459083557,
-0.05087801069021225,
0.625368475... |
You will be given a definition of a task first, then some input of the task.
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be instances where direct correlation to the claim is not available. Make use of the sentences in the paragraph to provide a corresponding output supporting the claim. 3) The explanation should be at least one and at most twelve sentences long.
Paragraph: Lovato has been an open book since she announced in 2010 that she was checking into a rehabilitation center to deal with an eating disorder, self-mutilation and other issues. Over the next eight years, she became a role model and bona fide pop star, releasing multi-platinum songs and albums that range from playful to serious with lyrical content about her battles with drugs and alcohol. ″(She) has found enormous success by addressing those issues, and not only addressing them when they were still fresh, but also continuing to speak about them as she had been sober for years. She’s always kind of keeping it at the forefront ... and showing people that it’s OK to be open about having struggles whether it’s mental health issues, substance abuse (or) body positivity,” said Jason Lipshutz, the editorial director at Billboard. “By opening herself up and sharing herself she has given the signal to a lot of people — either young listeners or adult listeners — that they can do the same.” “Obviously she’s got an amazing voice and she’s got some great hooks and a lot of hit singles, but I think people really connect with that type of openness,” he added. Lovato’s representative said in a statement Tuesday that the 25-year-old was awake and recovering with her family after the singer was reportedly hospitalized for an overdose. It came a month after she released a new song called “Sober,” indicating that she relapsed after six years of sobriety. Lovato has chronicled her life and battles throughout the years, from her bisexuality to being bullied as a child to suffering from depression. She has said she’s used cocaine before interviews and drank alcohol in the morning out of a soda bottle to mask it. That candor has helped her become a role model for young women and men who have faced their own issues. Actress Lili Reinhart, who appears in the hit CW Network series “Riverdale,” said she looked up to Lovato. “When I was 14, she was an idol to me in how she spoke so openly about mental health. And now she continues to inspire thousands of young men and women with her body positivity messages,” the 21-year-old tweeted Tuesday. In her YouTube documentary, “Demi Lovato, Simply Complicated,” Lovato said at one point she idolized Amy Winehouse, whose seven-year death anniversary was Monday. “I wanted to be as thin as her,” Lovato said in the film, released last year. “I wanted to sing like her. I wanted to be just like her.” The last two years have been Lovato’s biggest in music: “Sorry Not Sorry,” the sassy, punchy pop song, became the entertainer’s biggest hit of her career, peaking at No. 6 on Billboard’s Hot 100 chart and reaching triple-platinum status. Her “Confident” album competed for best pop vocal album at the 2017 Grammys (she lost to Adele’s “25”). Lovato earned praise and more hit songs for her collaborations with the electronic music groups Cheat Codes and Clean Bandit. And she’s even expanded to the Latin market with the Luis Fonsi collaboration “Echama la Culpa” and the Spanish version of “Solo” (Lovato is of Mexican descent). But her latest release, “Sober,” was concerning since Lovato had said she was clean for six years. “I’m not sober anymore,” she sings. “I’m sorry that I’m here again, I promise I’ll get help/It wasn’t my intention, I’m sorry to myself.” “We should wrap our arms of love around Demi Lovato. I am so happy you’re alive. Thank God,” Lady Gaga tweeted. “If I know my monsters as well as I believe I do, we all wish you self-compassion and inner peace. And may you receive the love so many have for you.” Lovato started as a child star on the series “Barney & Friends,” later breaking through as a teen on the Disney Channel film “Camp Rock” and the network series “Sonny with a Chance.” She did not return for the third season of “Sonny” after checking into rehab in 2010, also leaving an international tour with the Jonas Brothers. She emerged with the album “Unbroken” in 2011, detailing her recovery in the ballad “Skyscraper.” More songs like that followed as Lovato toured the world and reached new heights on the pop charts. There was a worldwide outpouring of support for Lovato as the hashtags #PrayForDemi and #StayStrongDemi trended heavily on social media and everyone from Bruno Mars to Ariana Grande to Ellen DeGeneres to Justin Timberlake rooted for Lovato’s recovery. “I think everybody just wants her to be OK and there’s no feeling that I can perceive of (people saying), ‘How dare she?’ or anything like that,” Lipshutz said. “People are understandably concerned and I think that no matter what happens next people are going to be supportive of her.” Claim: With rare candor, Lovato chronicled her recovery and relapse.
Output: | While most celebrities tend to hide their struggles with drugs and battles with depression, Demi Lovato not only acknowledged her issues, she’s shared them with the world. | 1 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
0.49523597955703735,
0.5192592144012451,
-0.652772843837738,
0.14416716992855072,
0.5035849809646606,
-0.39178216457366943,
0.23540332913398743,
0.9132238626480103,
-0.4857349097728729,
0.16288655996322632,
0.03420865535736084,
0.5330089330673218,
-0.41378074884414673,
0.010018473491072655... |
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