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 |
|---|---|---|---|---|---|---|
In this task, you are given a country name, and you need to return the year in which the country became independent. Independence is a nation's independence or statehood, usually after ceasing to be a group or part of another nation or state, or more rarely after the end of military occupation.
Q: Bangladesh
A: | 1971 | 4 | NIv2 | task1426_country_independence_year | zs_opt | [
0.25088220834732056,
0.912226676940918,
-0.3382517397403717,
0.09211527556180954,
0.4585123062133789,
-0.7051128149032593,
1.0279878377914429,
0.0010357158025726676,
0.25637802481651306,
-0.07862871885299683,
-1.0596730709075928,
-0.19295236468315125,
-0.42834559082984924,
-0.0369710177183... |
Given the task definition and input, reply with output. In this task, we ask you to write a question that asks about "event duration", based on a given sentence. The question will likely start with "How long". Your question should be answerable based on the common knowledge of how long certain events usually last. Don't create questions which have explicit mentions of answers in the text. Instead, it has to be implied from what is given. In other words, we want you to use "instinct" or "common sense". Note that the written questions are not required to have a single correct answer.
Sentence: By 1930 raw-material production had tripled the figure of 1900, manufactured goods had increased twelve-fold, and heavy industry was galloping towards maturity.
| How many years did it take raw-material production to double? | 5 | NIv2 | task003_mctaco_question_generation_event_duration | zs_opt | [
-0.4107595980167389,
0.7559009194374084,
-0.11527620255947113,
-0.16434073448181152,
-0.8332217931747437,
-0.467171311378479,
-0.05167461931705475,
0.813758909702301,
-0.006376636680215597,
-0.04849087446928024,
-0.8262550830841064,
1.0605227947235107,
-0.4622340202331543,
-0.0468975380063... |
In this task, you are given an article. Your task is to summarize the article in a sentence.
Q: It gets under way with a world premiere of Tommy's Honour, a film based on a true story about Scottish golfing pioneer Old Tom Morris.
A remake of the classic Scottish comedy Whisky Galore will close the festival, which runs until 26 June.
Hollywood's Meg Ryan will be in the city with her directorial debut Ithaca.
Tom Riley will attend the world premiere of Starfish, and Robert Sheehan will return to the city with the cast of Goa-set thriller Jet Trash.
Actor Brian Cox appears in two of the festival's films, a comedy, The Carer, and a western, Forsaken, which also stars Donald and Kiefer Sutherland.
Braveheart actor Angus Macfadyean will bring his first film as a director, Macbeth Unhinged, to the festival.
The film is a modern, black and white retelling of the Shakespearean tragedy.
Scot Dougray Scott will be starring in the apocalyptic thriller The Rezort.
Jason Connery's drama Tommy's Honour stars Peter Mullan and Jack Lowden.
It is based on a true story and focuses on Morris's turbulent relationship with his son, Tommy.
Gillies Mackinnon's Whisky Galore, features Gregor Fisher, James Cosmo, Kevin Guthrie, Sean Biggerstaff and Eddie Izzard.
Diane Henderson, EIFF deputy artistic director said: "In this special year we're proud to welcome so many exciting and talented guests from all over the world.
"Some we're lucky enough to welcome back and others are here for the very first time.
"If you'd like the chance to rub shoulders with your favourite actor, director, animator or producer, or the opportunity to meet the stars of tomorrow, then EIFF has it all."
The festival will also have a special screening to celebrate the 20th anniversary of Danny Boyle's Trainspotting and a world premiere screening of the newly 4K restored Highlander, attended by the film's star Clancy Brown.
A: Film-goers from around the world are due to descend on the capital for the Edinburgh International Film Festival as it opens for its 70th year later.
****
Q: The 28-year-old world number two confirmed on Tuesday he will defend the trophy he won for a fourth time last year with victory over Kevin Anderson.
There have been eight four-time champions, including John McEnroe, Boris Becker, Lleyton Hewitt and Andy Roddick in the open era.
"If I could win it for a fifth time it would be amazing," said Scot Murray.
"The names that have won it four times - they are all great tennis players."
Murray, champion in 2009, 2011, 2013 and 2015, made his debut at Queen's in 2005 and used the club's clay courts to prepare for Great Britain's Davis Cup final victory over Belgium in November.
Media playback is not supported on this device
A: Britain's Andy Murray wants to win a record fifth Aegon Championship title at Queen's Club this summer.
****
Q: It said it would raise about £150m.
It added that the share sale would support its plans for growth and further improve its ability to recruit and retain top staff.
Once the company is listed, it will pay £50m to the Treasury to settle what it still owes after buying Northern Rock plc in late 2011.
Virgin Money chief executive Jayne-Anne Gadhia said each employee would receive £1,000 worth of shares in the business when the flotation was completed later this month.
Ms Gadhia told the BBC's business editor, Kamal Ahmed, that she believed taxpayers had gained all their money back from the bailout of Northern Rock.
"In 2007, it looked like the taxpayer was going to make a big loss," she said. "Now this is the first bank properly out of the financial crisis.
"Debts to the taxpayer have in every sense been fully repaid. The taxpayer has got their money back."
Sir Richard said: "This is a huge day for Virgin Money. We started this company 20 years ago with Jayne-Anne Gadhia when we set out to challenge the financial services industry.
"Our wonderful team have come a long way since then and have built a strong and valuable business offering great value products and services and a real challenge to the established players."
Analysis: Kamal Ahmed, business editor, BBC News
Virgin Money's announcement of its intention to sell a stake on the London Stock Exchange brings to an end another chapter in the sorry story of Northern Rock.
The functioning bits of the bank, which spectacularly collapsed in 2007 and was bailed out in February 2008 with £1.4bn of taxpayers' money, were bought by Sir Richard Branson and US investor WL Ross for £747m in 2011. With subsequent payments, that figure has risen to £1bn.
Further value is left in the "bad bit" of the bank, which was hived off under the UK Asset Resolution scheme, which is now returning profits to the Treasury.
So has the government got its money back? Probably, although it is very difficult to quantify the actual costs of the multiple bailouts, of which Northern Rock was only one.
Virgin Money has 75 branches throughout the UK and has 2.8 million customers.
It employs 2,800 people, of whom 1,800 work at its centre of operations in Gosforth.
In November 2011, Virgin Money bought the banking and mortgage lending arm of the old Northern Rock bank, which was bailed out by the Bank of England in the autumn of 2007 at the start of the international banking crisis.
Northern Rock was nationalised in early 2008 and then in 2010 it was split in two - Northern Rock plc and Northern Rock (Asset Management), into which was placed its bad debt.
Virgin Money's final £50m payment will take the amount it has paid the Treasury for Northern Rock to £1.02bn.
Last week, another UK challenger bank, Aldermore, announced its own plans to float this month, saying it hoped to raise £75m.
While Virgin Money is a retail-only bank, Aldermore, founded in May 2009, is a specialist bank that concentrates on lending to small and medium-sized businesses, as well as to homeowners.
A: | Virgin Money, the UK challenger bank part-owned by entrepreneur Sir Richard Branson, has announced plans to float shares on the London Stock Exchange.
****
| 4 | NIv2 | task1290_xsum_summarization | fs_opt | [
0.030927371233701706,
0.3448081910610199,
-0.1183190569281578,
-0.17376722395420074,
0.6649326682090759,
-0.4609552025794983,
0.18647785484790802,
0.9599514007568359,
-0.03721051290631294,
0.32626938819885254,
0.06133599579334259,
0.7869114279747009,
-0.9427090883255005,
0.1793407201766967... |
Given the task definition and input, reply with output. Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Tagalog sentence: Katapusan ng taon na posisyon
| End of year positions | 5 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
0.03621484339237213,
0.6636743545532227,
0.24893462657928467,
-0.3765829801559448,
0.26276275515556335,
-0.40746375918388367,
0.3168393075466156,
-0.18176177144050598,
0.45733827352523804,
-0.4235153794288635,
0.026270966976881027,
0.5093034505844116,
-0.7521976828575134,
0.299023091793060... |
Teacher: In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Text: quick backstory: i am a duel enrollment student (still in high school but goes to college full-time) and don't have my license so i bike home.
now let's get to the fuck up. i was riding down the sidewalk and up ahead was a golf cart blocking the way. the man who was using kindly moved it out of my so i could get past. as i go by, i give him the nod and say "thank you" just to be courteous. well he didn't really give me that much space so as i was saying thank you, my goes into the grass and i quickly try to readjust, resulting in my tire hitting the side of the sidewalk and me falling off my bike. i looked like a complete dumbass and just laughed to myself and kept riding. luckily, i don't take myself too seriously, so i wasn't that embarrassed.
Solution: said thank you, fell off my bike.
Reason: This summary is appropriate for the given text post because the focus of this post is about a humorous situation caused by "thanking someone and later falling off from the bike".
Now, solve this instance: Text: just a few hours ago, i ran into an old co-worker at a conference at work, of who i was close friends with, and had not seen in months. as we are catching up, another coworker comes by and asks me to sign a card. i, while talking to my old friend, assume the card was for another coworker that could not make it to the conference because of some political shenanigans. i write "better luck next time" in the card, joking around at the ridiculous reasons he couldn't attend our conference. i never really focused much on the card, as i was so excited to see my friend. i carry on and end my conversation, then, about 15 minutes later, i notice some people laughing at me as i sit and scroll reddit, so i ask what's up. turns out that card was for the passing of another coworkers father, and everyone saw my comment. about 10 minutes later, i had to brief a super important topic, with the guy who's father died in the crowd, as well as our financial manager (who would give us the go/nogo on a project from work), and i flub through half the brief because i cannot stop making eye contact with the guy whos father had passed away.
Student: | did not read the card i was asked to sign, totally offended a man in mourning. | 2 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.1035248339176178,
0.20481660962104797,
-0.0916726142168045,
-0.6806315779685974,
0.40606993436813354,
-0.28172191977500916,
0.6566793918609619,
0.6668422222137451,
0.25360244512557983,
-0.022974809631705284,
-0.02555149234831333,
0.3878176212310791,
-0.0014142736326903105,
-0.11608770489... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Input: Consider Input: Rachel was interested in learning about herbal treatments and asked Betty to share her knowledge. _ was anxious to learn. (A) Rachel (B) Betty
Output: A
Input: Consider Input: If I want to build a swing should I build it out of wood or use a tire? It seems like the _ would get dirty and gross inside. (A) tire (B) wood
Output: A
Input: Consider Input: Dennis did not enjoy their afternoon but Hunter did because _ left work after the sunset. (A) Dennis (B) Hunter
| Output: A
| 2 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
-0.039847783744335175,
0.34012526273727417,
-0.3648650646209717,
-0.09101399034261703,
-0.5906071066856384,
-1.1905841827392578,
0.8699386715888977,
0.5204493403434753,
0.18316012620925903,
0.3889346122741699,
-0.2205200493335724,
0.5309293866157532,
0.04059051349759102,
-0.057995725423097... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Q: Ahí también está esa idea de usar el espacio público para generar actividad externa.
A: | To również idea publicznej przestrzeni, która wykorzystuje otwarty teren. | 9 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.5123517513275146,
1.3536776304244995,
-0.3613058924674988,
-0.34472352266311646,
-0.23221427202224731,
-0.13119849562644958,
0.3992079198360443,
-0.23093220591545105,
0.5886704921722412,
-0.21193081140518188,
-0.5115579962730408,
0.6451081037521362,
-0.38894277811050415,
0.0059958389028... |
Teacher:You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? Solve this instance: Statement: <MASK> ਵਿਚ ਰਣਜੀਤ ਸਿੰਘ ਦਾ ਰਾਜ ਸਿਖ, ਹਿੰਦੂ, ਮੁਸਲਮਾਨ ਦਾ ਸਾਂਝਾ ਰਾਜ ਸੀ, ਰਣਜੀਤ ਸਿੰਘ ਦੀ ਮੌਤ ਪਿਛੋਂ ਅੰਗਰੇਜ਼ਾ ਦਾ ਦਖਲ ਵਧ ਗਿਅਾ ਅਜੇਹੇ ਸਮੇਂ ਦੌਰਾਨ ਕੲੀ ਲਹਿਰਾਂ ਨੇ ਜਨਮ ਲਿਅਾ, ਬੇਸ਼ਕ ਹਾਲਾਤ ਦੀ ਮਜ਼ਬੂਰੀ ਕਾਰਨ ੲਿਹਨਾਂ 'ਚੋ ਗਦਰ ਲਹਿਰ ਮਿਸ਼ਨ ਵਿਚ ਸਫਲ ਨਾ ਹੋ ਸਕੀ ਪਰ ਫਿਰ ਵੀ ਦੇਸ਼ ਭਗਤਾਂ, ਗਦਰੀ ਬਾਬਿਅਾ ਦੀਅਾ ਕੁਰਬਾਨੀਅਾਂ ਨੇ ਪੰਜਾਬੀ ਹਿਰਦਿਅਾ ਅੰਦਰ ਦਿੜ੍ਹ ਵਿਸ਼ਵਾਸ ਪੈਦਾ ਕੀਤਾ ਕਿ,
Option A: ਪੰਜਾਬ
Option B: ਸ਼ਹਿਰ
Option C: ਹੜੱਪਾ
Option D: ਦੇਸ਼
Student: | ਪੰਜਾਬ | 6 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | zs_opt | [
0.14721176028251648,
1.052588701248169,
0.5024670362472534,
-0.8545721769332886,
-0.5726772546768188,
-0.8644533753395081,
0.527764081954956,
0.8524380326271057,
-0.06823916733264923,
0.35757434368133545,
-0.5213660001754761,
-0.3278738558292389,
-0.35523465275764465,
-0.11650975048542023,... |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Ex Input:
Kommissionären instämmer och lovat att lägga Izquierdo Rojos anförande på minnet.
Ex Output:
Swedish
Ex Input:
Subject: 'Mainstreaming' in EU aid policy In 1995 the Council drew up guidelines for integrating the equal opportunities dimension ('mainstreaming') into the full range of EU aid policy.
Ex Output:
English
Ex Input:
I saw some of Mr Kinnock's papers today, I heard some of what he had to say.
Ex Output:
| English
| 1 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.21010348200798035,
0.40859851241111755,
0.232547327876091,
-0.2081051468849182,
0.09724070131778717,
-0.19197645783424377,
0.8840627670288086,
0.8056765794754028,
0.5805386304855347,
0.5729129314422607,
-0.14252664148807526,
0.2112218737602234,
-0.3209223747253418,
-0.25504931807518005,... |
You are given a conversation between two people.'Person1:' and 'Person2:' are used to separate their respective dialogues. You have to classify if there exist more than 2 unique emotions in conversation. If there are more than 2 unique emotions present in the conversation, the output should be classified as '1' else it should be '0'
Input: Consider Input: Person1: I ’ m sure you never dare to go against your wife .
Person2: Why should I go against her ? She always seems to have better ideas .
Person1: Have you ever got the goods on her for wrong doings ?
Person2: Get the goods on her ? She never allows me to go to her office . And she is a good woman . She has been faithful all these years .
Person1: Well , it ’ s nice to have a husband like you .
Output: 0
Input: Consider Input: Person1: Is that you , Dave ? Oh , my gosh ! The backstabber who left us to work for the evil WebTracker !
Person2: Yeah , yeah , yeah . Hi , Mary . How are you ?
Person1: I'm filthy rich ! Haven't you heard about the MicroPower deal ?
Person2: Yeah , I guess I did . They're going to buy invoking ?
Person1: That's right . For seventy-five million . So how are you ?
Person2: I'm getting by OK . I heard MicroPower was going to make Zina president of their new invoking Internet division .
Output: 0
Input: Consider Input: Person1: Pete's Pizza , may I help you ?
Person2: Yes , I have one of your buy one , get one free coupons , and I'd like to order two large pizzas .
Person1: Will that be for pick-up or delivery ?
Person2: Delivery , please .
Person1: Can I get your phone number ?
Person2: Sure . It's 2331-7600 .
Person1: And your address ?
Person2: 2244 Forest Drive .
| Output: 0
| 2 | NIv2 | task1535_daily_dialog_uniqueness_classification | fs_opt | [
0.21531258523464203,
0.14432089030742645,
-0.22014521062374115,
0.305532306432724,
0.24395936727523804,
0.062015093863010406,
0.9854117631912231,
0.20174293220043182,
0.16998600959777832,
-0.0888780727982521,
-0.44280457496643066,
-0.1402144432067871,
-0.37014466524124146,
-0.2513565719127... |
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Input: Consider Input: To determine whether full-scale simulation (SIM) is superior to interactive problem-based learning (PBL) for teaching medical students acute care assessment and management skills.', 'Randomized controlled trial.', 'Simulation center at a U.S. medical school.', 'Thirty-one fourth-year medical students in a week-long acute care course.', 'After institutional review board approval and informed consent, eligible students were randomized to either the SIM or PBL group. On day 1, all subjects underwent a simulator-based initial assessment designed to evaluate their critical care skills. Two blinded investigators assessed each student using a standardized checklist. Subsequently, the PBL group learned about dyspnea in a standard PBL format. The SIM group learned about dyspnea using the simulator. To equalize simulator education time, the PBL group learned about acute abdominal pain on the simulator, whereas the SIM group used the PBL format. On day 5, each student was tested on a unique dyspnea scenario.', "Mean initial assessment and final assessment checklist scores and their change for the SIM and PBL groups were compared using the Student's t-test. A p < .05 was considered significant. The SIM and PBL groups had similar mean (PBL 0.44, SIM 0.47, p = .64) initial assessment scores (earned score divided by maximum score) and were deemed equivalent. The SIM group performed better than the PBL group on the final assessment (mean, PBL 0.53, SIM 0.72, p < .0001). When each student's change in score (percent correct on final assessment minus percent correct on the initial assessment) was compared, SIM group students performed better (mean improvement, SIM 25 percentage points vs. PBL 8 percentage points, p < .04)
Output: 1
Input: Consider Input: Although allergic sensitization can be generated against various allergens, it is unknown how such a diversity of antigens is able to promote TH2-mediated inflammation leading to atopy. Our previous studies demonstrated that allergen-specific IgG immune complexes (ICs) and house dust mite (HDM) extract both induced dendritic cells (DCs) to drive TH2-mediated inflammation, but the mechanism by which these diverse stimuli produce similar responses is unknown.', 'We sought to identify the DC signaling pathways used by TH2 stimuli to promote TH2-mediated inflammation.', 'C57BL/6, FcγRIII(-/-), FcRγ(-/-), and ST2(-/-) mice were sensitized and challenged with HDM, and inflammation was assessed based on results of flow cytometry and histology and cytokine production. Bone marrow-derived DCs from these strains were used in signaling and adoptive transfer experiments.', 'Our findings indicate that 2 distinct TH2 stimuli, ICs and HDM, use the FcRγ-associated receptors FcγRIII and Dectin-2, respectively, to promote TH2-mediated lung inflammation. In this study we demonstrate that both ICs and HDM induce expression of IL-33, a critical mediator in asthma pathogenesis and the differentiation of TH2 cells, in DCs. Upregulation of IL-33 in DCs is dependent on FcRγ, Toll-like receptor 4, and phosphoinositide 3-kinase. Exogenous IL-33 is sufficient to restore the development of TH2 responses in FcRγ-deficient mice. Finally, adoptive transfer of allergen-pulsed FcRγ(+/-) bone-marrow derived DCs restores the development of TH2-type inflammation in FcRγ-deficient mice, demonstrating the necessity of this signaling pathway in DCs for allergen-induced inflammation.
Output: 1
Input: Consider Input: Centrifuge training, while an integral component in pilot training, is not without risks. To date there has never been a reported case of isolated transverse process fractures associated with centrifuge training.', 'A 32-yr-old Flight Surgeon underwent centrifuge training as part of an educational course. She had increasing back pain after exposure to the centrifuge. Follow-up studies showed left L2 and bilateral L3 transverse process fractures. No other contributory causes could be identified except for mild vitamin D deficiency.
| Output: 0
| 2 | NIv2 | task848_pubmedqa_classification | fs_opt | [
0.7663094997406006,
-0.08340220153331757,
-0.3791894316673279,
-0.004406109917908907,
1.1671128273010254,
-1.073669672012329,
0.3377692699432373,
0.8224384188652039,
-0.14172354340553284,
0.8352115154266357,
-0.379050076007843,
0.3002796173095703,
-0.10275855660438538,
0.024132002145051956... |
Definition: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Input: [[8, -39, -25], [-10, -13], [25, -43, 31, 8]]
Output: | [7800, 130, -266600] | 2 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.28715986013412476,
-0.053394343703985214,
-0.9898392558097839,
-0.21076956391334534,
-0.040577150881290436,
0.06602033972740173,
1.0402811765670776,
-0.1810646951198578,
-0.050194211304187775,
-0.20658431947231293,
-1.2002946138381958,
0.17208735644817352,
-0.47604674100875854,
-0.20060... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of your answer, that is, you should sum the first members of each inner list together and put it as the first element of the list, then sum the second members of each inner list together and put it as the second element of your list, etc. The output should be a list of numbers with the same length as the longest inner list.
Ex Input:
[[9, 39, 95, 41, 6, -1, 1], [-85, 66, -86, -36, 32, -99, -52, -36, -49], [-63, -42, 62, -18]]
Ex Output:
[-139, 63, 71, -13, 38, -100, -51, -36, -49]
Ex Input:
[[63, -76, 80, -29, -69, 14, -28], [-37, -93, 15, 35, -5, -91, -78, 55], [-57, 15, 55, -48, 36], [19, -53, 20, -18], [7, -10, -41, 100, -87, 56], [-7, 52]]
Ex Output:
[-12, -165, 129, 40, -125, -21, -106, 55]
Ex Input:
[[2, -48, -39, -66, 79, 100, -26], [60, 33, -68], [-48, -28, 99, -3, 31, -88, 44], [5, -43, -10, 52], [-99, 93, 35, 4, -10, 48, 10, 53, 10], [-28, 82]]
Ex Output:
| [-108, 89, 17, -13, 100, 60, 28, 53, 10]
| 1 | NIv2 | task122_conala_list_index_addition | fs_opt | [
0.12082427740097046,
-0.24197818338871002,
-0.781000554561615,
-0.36671966314315796,
0.0315827950835228,
-0.1750822365283966,
0.9267510175704956,
0.7356122732162476,
-0.5157504677772522,
-0.07254158705472946,
-0.844814658164978,
0.20375531911849976,
-0.5114948749542236,
-0.1179847568273544... |
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Example Input: Harry told us all about the recent grim events.
Example Output: sadness
Example Input: Ebony feels depressed.
Example Output: sadness
Example Input: I made Darnell feel relieved.
Example Output: | joy
| 3 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.3078770339488983,
0.2762674391269684,
0.4256961941719055,
-0.8193280100822449,
-0.27364903688430786,
-0.897749662399292,
0.7434159517288208,
0.35669761896133423,
0.1927194595336914,
-0.5109741687774658,
-1.2176705598831177,
-0.08006973564624786,
-0.23798662424087524,
-0.0998766049742698... |
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: Background: The Iberian lynx (Lynx pardinus) is considered the most endangered felid species in the world. In order to save this species, the Spanish authorities implemented a captive breeding program recruiting lynxes from the wild. In this context, a retrospective survey on prevalence of selected feline pathogens in free-ranging lynxes was initiated.
Title: Feline Leukemia Virus and Other Pathogens as Important Threats to the Survival of the Critically Endangered Iberian Lynx (Lynx pardinus) | False | 0 | NIv2 | task1162_coda19_title_classification | zs_opt | [
-0.884315550327301,
0.589942991733551,
-0.1267828494310379,
-0.04816698282957077,
-0.8894945979118347,
0.08953067660331726,
0.6390770673751831,
0.1105838418006897,
-0.13774734735488892,
-0.35293060541152954,
-0.7506595849990845,
0.5974617004394531,
-0.9717156291007996,
0.45618659257888794,... |
Detailed Instructions: 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 _. Your answer should be chosen from the given text, and should not contain other words.
See one example below:
Problem: Jess Mastriani: No, I don't want another crooler, thank you very much.
FBI Agent Nicole Scott: But it's good for you. It's got... honeyglaze. Please die for this crooler, Jess.
Jess Mastriani: I've had _ two _ already. Who eats three croolers in a night?
FBI Agent Nicole Scott: Take a look. [Nicole takes a huge bite] Mmmmm, Mmmmm, Mmmmm!
Solution: crooler
Explanation: In this example, the number two refers to something that the word: crooler.
Problem: Kemp: An interesting mating ritual , as seen throughout the animal kingdom : The male flaps and fusses , seeking attention ; the female refuses until , eventually , the male flaps hard enough and the female succumbs .
Lucy: This _ one _ does n't end in mating .
Kemp: I think you underestimate the allure of the Devil .
Solution: | ritual | 4 | NIv2 | task401_numeric_fused_head_reference | fs_opt | [
-0.7587090134620667,
0.12277823686599731,
-0.8281058073043823,
-0.1370759904384613,
-0.5228195786476135,
-0.3281097114086151,
0.43064165115356445,
0.1726696491241455,
-0.5431588888168335,
0.15849322080612183,
-0.6407331228256226,
0.03588397055864334,
-0.31604111194610596,
0.158617943525314... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?).
Let me give you an example: Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients.
The answer to this example can be: background
Here is why: The sentence provides the background information regarding how they could control future SARS outbreaks depending on the accuracy of identification of some infected patients having SARS-CoV.
OK. solve this:
the benefits of vaccination and antiviral use might be significantly compromised if these control programs are not designed appropriately.
Answer: | finding | 8 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.09354148805141449,
0.6251484155654907,
-0.19260013103485107,
-0.12183904647827148,
0.27300751209259033,
-0.4809373915195465,
0.15956883132457733,
1.6260923147201538,
0.19287347793579102,
0.7321082949638367,
-1.087846279144287,
0.13445408642292023,
-0.00045423838309943676,
-0.15562656521... |
Instructions: In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
Input: Washington (CNN) A long-classified U.S. report released Friday found that some of the 9/11 hijackers were in contact with and received support from individuals likely connected to the Saudi government. Known as the "28 pages," the secret document was part of a 2002 Congressional Joint Inquiry into the Sept. 11 attacks and has been classified since the report's completion, despite repeated calls for its release. The document, which the administration finally delivered to Congress earlier Friday, actually contains 29 pages of material, plus a letter from then-CIA Director George Tenet. "While in the United States, some of the September 11 hijackers were in contact with, and received support or assistance from, individuals who may be connected to the Saudi Government," the document says.The secret document was part of a 2002 congressional investigation of the Sept. 11 attacksThe Saudi government has long called allegations of involvement unfounded
Output: | "We hope the release of these pages will clear up, once and for all, any lingering questions or suspicions about Saudi Arabia's actions, intentions, or long-term friendship with the _." | 3 | NIv2 | task301_record_question_generation | zs_opt | [
-0.3279670774936676,
0.03242754191160202,
-0.3927488625049591,
-0.15123672783374786,
-0.2564969062805176,
-0.283480703830719,
0.4457118809223175,
0.5036665201187134,
-0.4769535958766937,
0.8125739097595215,
-0.2290627658367157,
0.2586330473423004,
-0.8913857936859131,
-0.2509649395942688,
... |
Q: You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous.
я тоже была бы рада остаться в МСК:(
A: | surprise | 7 | NIv2 | task1663_cedr_ru_incorrect_classification | zs_opt | [
-0.7869630455970764,
0.23762384057044983,
-0.10321314632892609,
-0.4825013279914856,
-0.4911423623561859,
-0.5604131817817688,
0.18606488406658173,
0.8593969941139221,
0.286912739276886,
-0.11139187216758728,
-0.3513723313808441,
-0.13117912411689758,
-0.414010614156723,
0.1944952607154846... |
Detailed Instructions: You are given a statement written in Oriya. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
See one example below:
Problem: Statement: 'ରକନୁଦ୍ଦୀନ'ଙ୍କ ଶାସନ ବହୁତ କମ ସମୟ ପାଇଁ ଥିଲା । ଇଲତୁତମିଶଙ୍କ ବିଧବା , ଶାହା ତୁର୍କାନଙ୍କ ଶାସନ ଉପରେ ନିୟନ୍ତ୍ରଣ ରହି ପାରିନଥିଲା । ଭୋଗ ବିଳାସୀ ଏବଂ ଦାଇତ୍ୱହୀନ ରକନୁଦ୍ଦୀନଙ୍କ ବିପକ୍ଷରେ ଜନତା ମାନଙ୍କ ମଧ୍ୟରେ ଏହି ସୀମା ପର୍ଯ୍ୟନ୍ତ ଆକ୍ରୋଶ ଭାବ ଜାଗ୍ରତ ହୋଇଥିଲା କି , ୧ ନଭେମ୍ବର ୧୨୩୬ ମସିହାରେ ରକନୁଦ୍ଦୀନ ତଥା ତାଙ୍କ ମାତା , ଶାହା ତୁର୍କାନଙ୍କ ହତ୍ୟା କରିଦିଆଗଲା । ତାଙ୍କ ଶାସନ ମାତ୍ର ୬ ମାସର ଥିଲା । ଏହା ପରେ ସୁଲତାନଙ୍କ ପାଇଁ ଅନ୍ୟ କୌଣସି ବିକାଶର ଅଭାବରେ ମୁସଲମାନଙ୍କୁ ଏକ ମହିଳାଙ୍କୁ ଶାସନର ବାଗଡୋର ଦେବାକୁ ପଡ଼ିଥିଲା , ଏବଂ ପରେ ରଜିୟା ସୁଲତାନ <MASK>ର ଶାସିକା ରୂପେ ନିୟୋଜିତ ହୋଇଥିଲେ ।ଶାସନ କ୍ଷେତ୍ରରେ ରଜିୟଙ୍କ ରୁଚି ନିଜ ପିତାଙ୍କ ଶାସନ ସମୟରୁ ହିଁ ରହିଥିଲା ।
Option A: ଭାରତ
Option B: ଭଟିଣ୍ଡା
Option C: ଦିଲ୍ଲୀ
Option D: ରାଜସ୍ଥାନ
Solution: ଦିଲ୍ଲୀ
Explanation: The most suitable word from the given options to replace the <MASK> token is ଦିଲ୍ଲୀ, as Azi Sultan was the ruler of Delhi and at those times the remaining places aren't related .
Problem: Statement: ଷ୍ଟେନ୍ସଙ୍କ ଜନ୍ମ ୧୯୪୧ ମସିହାରେ <MASK>ର କୁଇନ୍ସଲାଣ୍ଡ ସହର ହେଇଥିଲା। ୧୯୬୫ ମସିହାରେ ସେ ପ୍ରଥମ ଥର ପାଇଁ ଭାରତ ଭ୍ରମଣରେ ଆସିଥିଲେ ଓ Evangelical Missionary Society of Mayurbhanj (EMSM)ରେ ଯୋଗଦାନ କରିଥିଲେ । ସେଠାରେ ସେ ଆଦିବାସୀ ଅଞ୍ଚଳରେ ମିଶନାରୀ ତରଫରୁ କାମ କରିବା ଆରମ୍ଭ କରିଥିଲେ । ୧୯୮୩ ମସିହାରେ, ଷ୍ଟେନ୍ସ ବାରିପଦାଠାରେ ମିଶନର ପରିଚାଳନା ଦାୟିତ୍ୱ ନେଇଥିଲେ । ୧୯୮୨ ମସିହାରେ ସେ ମୟୁରଭଞ୍ଜରେ କୁଷ୍ଠ ରୋଗୀଙ୍କ ପାଇଁ ସାହାୟତା କେନ୍ଦ୍ର ନିର୍ମାଣରେ ସାହାଯ୍ୟ କରିଥିଲେ ।
Option A: ଅଷ୍ଟ୍ରେଲିଆ
Option B: ଭାରତ
Option C: ପଦ୍ମଶ୍ରୀ
Option D: ମାକାଉ
Solution: | ଅଷ୍ଟ୍ରେଲିଆ | 4 | NIv2 | task951_wiki_cloze_or_multiple_choice_question_answering | fs_opt | [
0.10695265978574753,
0.9280093908309937,
-0.26038527488708496,
0.22967396676540375,
0.27445393800735474,
0.07521428167819977,
0.11734598875045776,
1.1012146472930908,
-0.07739164680242538,
0.46740686893463135,
-0.39557304978370667,
0.09284011274576187,
-0.5137206315994263,
-0.0015392228960... |
Definition: Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Input: Sentence1: friction causes the temperature of an object to increase.
Sentence2: chronic impact can cause temperature of an object to increase.
Output: | increase | 2 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
0.08316879719495773,
0.24957789480686188,
0.4220016598701477,
-0.09355577826499939,
0.12231704592704773,
-0.21242299675941467,
0.8406276702880859,
-0.03983408212661743,
0.20382052659988403,
-0.7845847010612488,
-0.6796140670776367,
-0.09996932744979858,
-1.1089999675750732,
0.5254329442977... |
In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a day-to-day scene using all concepts from a given concept set.
Example Input: celebrate#cricketer#wicket
Example Output: celebrating the wicket of cricketer .
Example Input: cloud#move#range
Example Output: clouds moving along mountain range
Example Input: side#track#travel
Example Output: | A train travels down the country side on tracks
| 3 | NIv2 | task102_commongen_sentence_generation | fs_opt | [
-0.022737378254532814,
0.3773060142993927,
-0.5693649053573608,
-0.12214196473360062,
-0.18247121572494507,
-0.9003554582595825,
0.030618956312537193,
0.3749326467514038,
0.09606203436851501,
-0.7141090631484985,
-0.6202168464660645,
0.16066834330558777,
-0.5137261748313904,
0.101242646574... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Problem:So imagine that right now you went and you found your musician friend.
Solution: | אז דמיינו שממש עכשיו נתקלתם בחברכם המוזיקאי. | 8 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.13899289071559906,
0.9390680193901062,
-0.2734297215938568,
-0.029110044240951538,
-0.14257550239562988,
-0.002280303742736578,
0.4882553517818451,
-0.23766838014125824,
1.1708680391311646,
-0.1718214750289917,
0.25583207607269287,
-0.08023542165756226,
-0.667614758014679,
-0.2963416576... |
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that define what the this logical operator does) of each logical operator between '{}' parenthesis. Here are the definitions of logical operators that you can use while generating command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Q: select the rows whose high assists record fuzzily matches to mo williams . the number of such rows is 2 .
A: | eq { count { filter_eq { all_rows ; high assists ; mo williams } } ; 2 } | 4 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.25195375084877014,
-0.1666640341281891,
-0.6270704865455627,
0.36936429142951965,
0.2914789319038391,
-0.7799545526504517,
0.16867271065711975,
0.3475978672504425,
0.1487032175064087,
-0.22549046576023102,
-0.5348658561706543,
-0.05514616519212723,
-0.24878133833408356,
0.339346915483474... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Example input: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Question: What does Tracy need to do before this?
Options: (A) make a new plan (B) Go home and see Riley (C) Find somewhere to go
Example output: B
Example explanation: Tracy finds somewhere to go and didn't come home because she has to resist Riley's attacks. So, C is the correct answer and B is acceptable as an incorrect answer.
Q: Context: Aubrey found some dirt and Addison's house because she is a neat freak and annoying.
Question: How would you describe Aubrey?
Options: (A) anxious (B) OCD on Little things (C) unhappy
A: | C | 3 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
0.30092939734458923,
0.47870028018951416,
-0.18450257182121277,
0.476212739944458,
0.07482460141181946,
-0.3533261716365814,
0.23380374908447266,
0.2854604125022888,
-0.15860064327716827,
0.5102870464324951,
-0.5798435807228088,
0.12541510164737701,
0.24847155809402466,
-0.5925586819648743... |
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
One example: [1, 2, 3]
Solution is here: [0.167, 0.333, 0.500]
Explanation: The output list sums to 1.0 and has the same weight as the input 0.333 is twice as large as 0.167, .5 is 3 times as large as 0.167, and 0.5 is 1.5 times as large as 0.333. This is a good example.
Now, solve this: [-94.718, 126.431]
Solution: | [-2.987 3.987] | 6 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.20971748232841492,
0.4280255138874054,
-0.9057457447052002,
-0.7043273448944092,
0.5224418640136719,
0.18886452913284302,
0.9558550119400024,
0.038001686334609985,
0.02677086368203163,
-0.06068699061870575,
-0.7277313470840454,
0.1332305371761322,
-0.08217166364192963,
-0.27830445766448... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
The sound seems really good but sometimes it cuts in and out which is annoying. You have to put the cord directly into your ipod. Other than that, its a simple design with nothing fancy. I love how cheap they were for 10 dollars... But overall nice design... No one can steal me earphones. lol thanks again amazon.
Solution: Good review
Why? Here the review is good because it has positvie tone as the reviewer suggested it really likes the sound and the output is also Good Review.So this example is positive example
New input: I had no problems with the seller, and we received this product quickly..however, it is not worth it...as other reviewers have said its hard to clean, and the design does wear off. And yes, mine broke after a week. Do yourself a favor, use your money for something worthwhile like this. Our son was very disappointed in this, especially given how much these go for, you get what you pay for!
Solution: | Bad review | 0 | NIv2 | task929_products_reviews_classification | fs_opt | [
-0.2710334360599518,
0.1136859878897667,
-0.4996073544025421,
0.09635643661022186,
0.3225892186164856,
-0.37740427255630493,
0.7934858798980713,
0.8340442180633545,
-0.7309544086456299,
0.5176175832748413,
0.0070841191336512566,
-0.09835873544216156,
-0.4479762315750122,
-0.563845634460449... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible. Do not change the main selected sentence in your answer.
[EX Q]: story: A man was walking on a bridge over a river. He looked over the bridge. The rail was loose and fell off. He held on the the rail as it was falling. Both the man and the rail ended up falling in the water.
selected sentence: Both the man and the rail ended up falling in the water.
[EX A]: The man and the rail fall in the water >Causes/Enables> The man gets wet
[EX Q]: story: Ava's parents got a new puppy. At first Ava didn't like it. It barked a lot and peed everywhere. But soon it got better and quieter. Very soon, Ava loved her family's new puppy!
selected sentence: Ava's parents got a new puppy.
[EX A]: Ava's parents get a puppy >Causes/Enables> The puppy barks
[EX Q]: story: The waitress served my food to me. However, an angry man approached us. He asked the waitress why she works there. In addition, he said he was disappointed in her. Luckily, she was patient and treated the man with respect.
selected sentence: However, an angry man approached us.
[EX A]: | The angry man approaches us >Causes/Enables> The angry man talks to her
| 6 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
-0.03963475301861763,
0.16544581949710846,
-0.35882312059402466,
-0.3085513710975647,
-0.13266757130622864,
-0.7988150119781494,
0.25931495428085327,
0.7775134444236755,
-0.1349957287311554,
-0.344093918800354,
-0.6323369741439819,
0.04453923553228378,
-0.29520368576049805,
-0.115323737263... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
--------
Question: Ferdinand: Beyond all limit.
Answer: ファーディナンド ： 限りなく
Question: He was placed on intravenous antibiotics and he recovered after a few days.
Answer: 抗生物質の静脈投与を受けそのあと数日で回復しました
Question: So each idea has its own meme-ome, and each idea is unique with that, but of course, ideas, they borrow from each other, they kind of steal sometimes, and they certainly build on each other, and we can go through mathematically and take the meme-ome from one talk and compare it to the meme-ome from every other talk, and if there's a similarity between the two of them, we can create a link and represent that as a graph, just like Eric and I are connected.
Answer: | １つ１つのアイデアに「ミーモム」がありそれはそれぞれユニークですが勿論お互いアイデアを借り合い時にはアイデアを盗んだり確かに相互関係にありますそこで数学的に一つのトークから「ミーモム」をとり他の個々のトークから取ったものと比べますもし類似点があればリンクで繋ぎグラフに表します私とエリックが繋がった様にです
| 7 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.4507214426994324,
0.011910036206245422,
-0.022158630192279816,
-0.5860111117362976,
-0.3829551041126251,
-0.9598078727722168,
0.2327631562948227,
0.1652171015739441,
0.4366869330406189,
-0.3410155177116394,
-1.2803205251693726,
0.5019819736480713,
-0.9834257364273071,
0.08508936315774918... |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[EX Q]: [-328, 729, 75]
[EX A]: [-330, 730, 80]
[EX Q]: [787, 743, -525, -253, 668, 799, -665, -836, 524, -79, -219, 918, 246, -887]
[EX A]: [790, 740, -520, -250, 670, 800, -660, -840, 520, -80, -220, 920, 250, -890]
[EX Q]: [256, -209, 89]
[EX A]: | [260, -210, 90]
| 6 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-1.3533029556274414,
0.3277028799057007,
-0.20111675560474396,
-0.306673139333725,
-0.26899445056915283,
-0.3072972893714905,
0.55811607837677,
-0.023881997913122177,
-0.47763240337371826,
0.03373180329799652,
-0.695061445236206,
0.36980387568473816,
-0.8780100345611572,
0.2390680313110351... |
Teacher: In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb, Num: Number, Misc: Miscellaneous, Pron: Pronoun, Prep: Preposition, Punc: Punctuation.
Teacher: Now, understand the problem? If you are still confused, see the following example:
1968 : 1.
Solution: Num Punc Num Punc
Reason: Based on the given question, All of the POS tags are correct.
Now, solve this instance: Met die gegevens voor ogen , is het niet houdbaar om , zoals Johan Cruijff vol te houden : ' Strafschoppen , dat is geen voetbal , dat is psychologie en daar kun je niet op trainen . '
Student: | Prep Pron N Prep N Punc V Pron Adv Adj Adv Punc Conj N N Adj Prep V Punc Punc Misc Punc Pron V Pron N Punc Pron V N Conj Adv V Pron Adv Prep V Punc Punc | 2 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | fs_opt | [
0.08817189931869507,
0.37719252705574036,
-0.01391886081546545,
-0.28172674775123596,
-0.2806171774864197,
-0.2929028272628784,
-0.0072077312506735325,
0.21264517307281494,
0.17835590243339539,
-0.30150920152664185,
0.09499190747737885,
0.4134082496166229,
-0.2892146706581116,
-0.059025123... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?). ",
Sentence: data of 4,080,766 ED visits were collected.
Section: finding
Output: | True | 1 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
-0.4109761118888855,
-0.12533414363861084,
-0.46726441383361816,
-0.16243049502372742,
-0.37738093733787537,
-0.19634300470352173,
0.22430947422981262,
0.27584925293922424,
0.061314381659030914,
0.29518765211105347,
-0.42251402139663696,
0.06403780728578568,
0.09933848679065704,
0.10486972... |
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).
--------
Question: Det vore fantastiskt om vi med detta betänkande skulle kunna ge signalen till resultatinriktad förvaltning och organisera hela arbetet på grundval av denna.
Answer: It would be marvellous if this report were to give the green light to result-oriented spending of this kind, with all the work organised on that basis.
Question: Kommissionen anser att den utfasning som föreslås i den gemensamma ståndpunkten är lättare att tillämpa ur teknisk synvinkel.
Answer: The Commission considers that the type of phasing-out proposed in the common position is easier to apply from a technical point of view.
Question: Avslutningsvis förefaller det mig som om den sjätte periodiska rapporten innehåller intressanta argument inför ett verkligt projekt för hållbar och rättvis utveckling av det europeiska territoriet, bl.a. när den sammanfattar betydelsen av förhållandet mellan Centraleuropa och de yttersta randområdena.
Answer: | Finally, in my view, this sixth periodic report presents interesting arguments from the viewpoint of a real project for the balanced sustainable development of Europe, particularly when it outlines the importance of relations between the central areas of Europe and its more remote regions.
| 7 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
-0.2820032835006714,
0.9355950951576233,
0.44103533029556274,
-0.5562917590141296,
0.043363042175769806,
0.10083959251642227,
0.5606998205184937,
1.0944644212722778,
0.680892288684845,
0.01143164187669754,
-0.09807848930358887,
0.8632588386535645,
-0.3396075963973999,
0.07340111583471298,
... |
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix' instead of 'one thousand seven hundred six'.
--------
Question: sevenoneeighteightthreesix
Answer: 718836
Question: threesixzerofourthreesixoneninesevensix
Answer: 3604361976
Question: zerosixninetwofiveninesevenninezero
Answer: | 069259790
| 7 | NIv2 | task1443_string_to_number | fs_opt | [
-0.3813868761062622,
1.2939221858978271,
-0.22095592319965363,
-1.1956357955932617,
-0.4579905867576599,
-0.3386867344379425,
0.8717575669288635,
-0.019208312034606934,
0.06876979768276215,
-0.550216555595398,
-0.4907756447792053,
0.23337095975875854,
-1.1090948581695557,
-0.20338965952396... |
Detailed Instructions: 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.
Q: Context : ISO 3166-2:SI is the entry for Slovenia in ISO 3166-2, part of the ISO 3166 standard published by the International Organization for Standardization (ISO), which defines codes for the names of the principal subdivisions (e.g., provinces or states) of all countries coded in ISO 3166-1.
Subject : ISO 3166-2:SI
Relation : standards body
A: | Who set the standards for ISO 3166-2:SI? | 9 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | zs_opt | [
-0.22350932657718658,
0.6295269727706909,
-0.40245041251182556,
-0.025345589965581894,
-0.1405268758535385,
0.20279139280319214,
0.5088341236114502,
0.07880134880542755,
-0.9192564487457275,
-0.1188216507434845,
-0.46989893913269043,
0.879172146320343,
-0.567228376865387,
0.975018680095672... |
In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
Ex Input:
i feel amazed because when he watch his victim intensely the lying blonde has a pretty face like a girl his skin so smooth his lips so soft and pink and
Ex Output:
surprise
Ex Input:
i feel generous sometimes and feed a little of those savings to the birds
Ex Output:
love
Ex Input:
i feel like if i ask them to stay for me then im being the selfish one even though they are the ones making plans that they know i cant do with them
Ex Output:
| anger
| 1 | NIv2 | task875_emotion_classification | fs_opt | [
-0.33118492364883423,
0.3173457086086273,
0.7986133098602295,
-0.47336357831954956,
-0.1830761879682541,
-0.9246647953987122,
0.46837687492370605,
0.7118551731109619,
0.3963550925254822,
-0.3525352478027344,
-0.3800837993621826,
-0.0724184438586235,
-1.0066704750061035,
-0.3426609039306640... |
You will be given a definition of a task first, then some input of the task.
A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
ਸੈਂਟਰਲ ਵਾਟਰ ਕਮਿਸ਼ਨ ਲਈ ਇਹ ਵਿਕਸਿਤ ਮਾਰਗ ਲਾਭਦਾਇਕ ਹੋਵੇਗਾ , ਕਿਉਂਕਿ ਅਲਾਟ ਕੀਤੀ ਭੂਮੀ ਉੱਤੇ ਇੱਕ ਉਤਕ੍ਰਿਸ਼ਟਤਾ ਕੇਂਦਰ (Center of Excellence)ਨਿਰਮਿਤ ਕਰਨ ਦਾ ਪ੍ਰਸਤਾਵ ਕੀਤਾ ਗਿਆ ਹੈ ।
Output: | அந்த இடத்தில் அமைக்கப்பட உள்ள மத்திய நீர்வள ஆணையத்தின் உயர் சிறப்பு மையத்திற்கு, விரிவுப்படுத்தப்பட்ட சாலை மிகவும் பயனுள்ளதாக அமையும். | 1 | NIv2 | task1015_pib_translation_punjabi_tamil | zs_opt | [
0.015323198400437832,
0.8370603322982788,
-0.08459248393774033,
0.39079222083091736,
0.024883830919861794,
-1.0994360446929932,
0.7701640129089355,
0.2019839882850647,
-0.07086367905139923,
0.24042055010795593,
0.28551849722862244,
0.05736343562602997,
-0.7859938144683838,
0.24677187204360... |
Teacher:In this task, we ask you to write an answer to a question that involves “event duration", based on a given sentence. Here, event duration is defined as the understanding of how long events typically last. For example, “brushing teeth”, usually takes a few minutes. Note that a lot of the questions could have more than one correct answer. We only need a single most-likely answer. Please try to keep your "answer" as simple as possible. Concise and simple "answer" is preferred over those complex and verbose ones.
Teacher: Now, understand the problem? Solve this instance: Sentence: Among the responses the Swiss trader got was one from the Soviet national shipping company, which hadn't been invited to submit a bid.
Question: How long did the bidding last?
Student: | two days. | 6 | NIv2 | task004_mctaco_answer_generation_event_duration | zs_opt | [
-0.19127677381038666,
0.3518833816051483,
0.16067194938659668,
-0.7003156542778015,
-0.49955588579177856,
-0.04385438561439514,
0.3980010449886322,
0.3945000171661377,
0.023612130433321,
0.012994157150387764,
0.1637304127216339,
0.7246636152267456,
-0.46712255477905273,
0.1898399144411087,... |
In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Let me give you an example: ['8129', 'a', '4245', 'y', 'm', 'a']
The answer to this example can be: a, m, y
Here is why: Here, the unique alphabets in the list are 'a', 'y', and 'm', hence their sorted order is 'a, m, y'.
OK. solve this:
['5737', 'b', 'e', 't', '7419', 'n', 'y', '5225', '6485', 'b', '1343']
Answer: | b, e, n, t, y | 8 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | fs_opt | [
0.10741603374481201,
0.10351838916540146,
-0.04966191202402115,
-0.5302059650421143,
0.6168670058250427,
-0.21856029331684113,
0.5459766387939453,
0.24932719767093658,
0.00391213595867157,
0.15926769375801086,
-0.7014509439468384,
-0.36464160680770874,
-0.24472934007644653,
-0.163924351334... |
Q: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY, or others, feel what is mentioned in the Tail or not. Feelings in this task are the emotional reactions on the part of PersonY or other participants in an event. For example, as a result of gift-giving, others (in this case, PersonY) might feel appreciated. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX makes PersonY's case<sep>Tail: convinced
A: | Yes | 7 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
0.09033653885126114,
0.0541931614279747,
0.5974864363670349,
-0.07415695488452911,
-0.17831137776374817,
-1.322815179824829,
1.4672083854675293,
0.3104493021965027,
-0.47932058572769165,
-0.5591886043548584,
0.02806052379310131,
-0.022519560530781746,
-0.7874572277069092,
0.616501092910766... |
Translate the given Spanish text to English
Input: Consider Input: The present invention further provides peptides that include one, two, or several amino acid insertions, substitutions or additions to the aforementioned peptides or fragments, but yet retain the requisite cytotoxic T cell inducibility.
Output: La presente invención proporciona además péptidos que incluyen una, dos, o varias inserciones, sustituciones o adiciones de aminoácidos a los péptidos anteriormente mencionados o fragmentos, pero mantienen aún el requisito de capacidad de inducción de célula T citotóxica.
Input: Consider Input: In one embodiment, the process also includes the step of passing an eluent formed by the elution step through a second sorbent material that is configured to remove a preselected material from said eluent.
Output: En una modalidad, el proceso también incluye el paso que consiste en pasar un eluyente formado mediante el paso de elución a través de un segundo material absorbente que está configurado para retirar un material preseleccionado del eluyente.
Input: Consider Input: The softener may be, for instance, a polysiloxane.
| Output: El suavizador puede ser, por ejemplo, un polisiloxano.
| 2 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
-0.2175956517457962,
-0.3176998198032379,
-1.495171308517456,
0.798145055770874,
0.374847948551178,
-0.7983561754226685,
-0.35475364327430725,
0.7961642146110535,
0.13505548238754272,
0.4376525282859802,
-0.664732813835144,
0.08169271051883698,
-0.11853095144033432,
-0.24907442927360535,
... |
Q: In this task, you will be presented with a question having multiple possible answers in Spanish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Sam era un ingeniero de sonido. Era bueno en el trabajo, porque el sonido era la forma en que entendía el mundo. ¿Qué podría haberle faltado a Sam?
Options: A tranquilo B silencio C paz D película E visión
A: | E | 7 | NIv2 | task1131_xcsr_es_commonsense_mc_classification | zs_opt | [
-0.1046316921710968,
0.6323732733726501,
0.19886645674705505,
-0.4884589910507202,
-0.02927052602171898,
-0.6740387678146362,
-0.089474618434906,
1.5111303329467773,
-0.20447570085525513,
0.11035413295030594,
0.3831711411476135,
0.04755435138940811,
0.23854106664657593,
-1.1190505027770996... |
Given a sentence in Russian, generate a new Russian 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.
Example: Девушка может одолжить тебе денег.
Example solution: Университет может заработать тебе денег.
Example explanation: This is a good change in the input, because it is semantically similar to the input as both are talking about gaining some money and the output sentence follows the commonsense knowledge.
Problem: Писатель может печатать письменные переводы на оперативной основе.
| Solution: Писатель может печатать письменные задания на принтере. | 5 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
-0.17492139339447021,
0.4481109380722046,
0.1962604969739914,
-0.5378507375717163,
-0.5594204068183899,
0.28575047850608826,
0.1776691973209381,
1.579885721206665,
0.6448377370834351,
-0.602928638458252,
-0.8682059049606323,
-0.303034245967865,
-0.037221670150756836,
0.048747915774583817,
... |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
これは木工用の機械か何かですが私のタスクはこの機械を少しモダンにしてすこし使い易くすることでした
A: | Es una máquina de carpintería, o por lo menos parte de una. Y mi trabajo era hacer que esta cosa fuese un poquito más moderna, un poquito más fácil de usar. | 7 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.4237254858016968,
0.2551490366458893,
-0.36340272426605225,
-0.843828022480011,
-0.024853283539414406,
-1.2639541625976562,
0.015610666945576668,
0.7317081689834595,
0.42398521304130554,
-0.5355829000473022,
-0.0342685841023922,
0.31831997632980347,
-0.05666224658489227,
0.2147814333438... |
This task is about translating a given English language sentence to Spanish.
[Q]: In Egyptian iconography, the snake and bird represent the duality or polarity of human nature.
[A]: En la iconografía egipcia, la serpiente y el pájaro representan la dualidad o polaridad de la naturaleza humana.
[Q]: Then we fear the word Testament look at the baby.
[A]: A continuación, tenemos miedo a la palabra buscar Testamento en el bebé.
[Q]: CUANDO ESTUVE AHÍ. >>CLARO QUE SÍ, SEÑOR.
[A]: | He comes and goes.he
| 5 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-1.0629603862762451,
0.25181418657302856,
0.0917646512389183,
-0.6121760010719299,
-0.6329226493835449,
-0.12643858790397644,
0.7692157030105591,
0.2942606210708618,
0.29231590032577515,
0.024917522445321083,
0.505098283290863,
0.5869918465614319,
-1.120394229888916,
-0.0064340634271502495... |
Given a text, write a compressed version of it in a single sentence.
[Q]: You can help be a part of this magic. We need your help and participation in our acclaimed education program.
[A]: We need your help & particiaption in our acclaimed education program in this Magic
[Q]: The savings are counted in more ways than dollars and cents, however. The families of the new wage earners may feel the accomplishment in terms of a house to live in, money to purchase food - - without food stamps - - and the beginning of a family focused on success, not hopelessness.
[A]: The savings are counted and the families of new earners may feel the progress in terms of a house, food, and the beginning of focusing on success.
[Q]: We remember when "Gilded Age" was just an expression: The Wall Street Journal front reports a "microtrend" in men's fashion: weaving gold into suits.
[A]: | "Gilded Age" just an expression? The Wall Street Journal says a men's fashion trend is weaving gold into suits.
| 5 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.3615330457687378,
1.2393027544021606,
-0.221104234457016,
-0.9834744334220886,
-0.3799683749675751,
-0.6501770615577698,
0.3315442204475403,
1.1255275011062622,
0.2609933614730835,
-0.28945836424827576,
-0.13811996579170227,
-0.31898587942123413,
-0.48612144589424133,
-0.300356119871139... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Sentence: 'fresh ham and cheese pizza before it has been cut'. Remove all words of length '4' in the given sentence. | fresh ham and cheese pizza before it has cut | 0 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
0.4566861689090729,
0.1894124448299408,
0.1391286849975586,
-0.4570722281932831,
-0.016291800886392593,
-0.794008731842041,
-0.10795770585536957,
0.44436487555503845,
-0.10456984490156174,
-0.07225309312343597,
-1.1031004190444946,
-0.5047639012336731,
-0.3328213393688202,
-0.4076137542724... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Sentence 1: Learned behavior occurs only after experience or practice and describes most human behaviors. Sentence 2: human development, learning and behavior;
Output: | neutral | 1 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.5704149007797241,
0.369398295879364,
0.021063445135951042,
-0.11428558826446533,
-0.3134235143661499,
-0.5019419193267822,
-0.23946622014045715,
0.6025867462158203,
-0.060196589678525925,
-0.3914489150047302,
-0.8084043860435486,
-0.6363300085067749,
-0.370158851146698,
-0.1293343305587... |
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
One example is below.
Q: Questions are gathered from anonymized, aggregated queries to the Google search engine. Queries that are likely to be yes/no questions are heuristically identified: we found selecting queries where the first word is in a manually constructed set of indicator words and are of sufficient length, to be effective.
Questions are only kept if a Wikipedia page is returned as one of the first five results, in which case the question and Wikipedia page are given to a human annotator for further processing.
Annotators label question/article pairs in a three-step process. First, they decide if the question is good, meaning it is comprehensible, unambiguous, and requesting factual information. This judgment is made before the annotator sees the Wikipedia page. Next, for good questions, annotators find a passage within the document that contains enough information to answer the question. Annotators can mark questions as “not answerable" if the Wikipedia article does not contain the requested information. Finally, annotators mark whether the question's answer is “yes" or “no". Annotating data in this manner is quite expensive since annotators need to search entire Wikipedia documents for relevant evidence and read the text carefully.
A: how was the dataset built?
Rationale: This is a good question, and it is answerable based on the context.
Q: The performance on discriminating between offensive (OFF) and non-offensive (NOT) posts is reported in Table TABREF18 . We can see that all systems perform significantly better than chance, with the neural models being substantially better than the SVM. The CNN outperforms the RNN model, achieving a macro-F1 score of 0.80. The CNN system achieved higher performance in this experiment compared to the BiLSTM, with a macro-F1 score of 0.69. All systems performed better at identifying target and threats (TIN) than untargeted offenses (UNT).
A: | What is the best performing model? | 9 | NIv2 | task461_qasper_question_generation | fs_opt | [
-0.38021236658096313,
-0.17111961543560028,
-0.17055651545524597,
0.5557430982589722,
0.1680639684200287,
-0.260945588350296,
0.44805747270584106,
0.7530272006988525,
0.21260808408260345,
0.542468249797821,
-0.3699003756046295,
0.02656685747206211,
-1.0095770359039307,
0.11039212346076965,... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: is There a male wake boarder in the water
Student: | (1, 2) | 6 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.36263206601142883,
0.6553268432617188,
-0.5023096799850464,
-1.0852429866790771,
0.26595813035964966,
-0.6812436580657959,
0.37300267815589905,
0.5398003458976746,
0.2610257863998413,
-0.1388813555240631,
-0.2466391772031784,
-0.16938930749893188,
-0.5929087996482849,
-0.242805093526840... |
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Porque hay líderes y hay personas que lideran.
| Perché ci sono i leader e ci sono quelli che guidano. | 5 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-1.0586867332458496,
0.7316277027130127,
-0.101369708776474,
-0.34990155696868896,
-0.3586167097091675,
-0.45832768082618713,
0.3634512424468994,
0.2552970051765442,
-0.07631079852581024,
-0.8379138112068176,
-0.277884304523468,
0.46461212635040283,
-0.5533524751663208,
0.17078183591365814... |
In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise sentence. Please answer with "Contradiction", "Neutral", or "Entailment".
Example Input: Premise: Bazinama is the first video game magazine in Iran which has been published since 2002 with the efforts of a group of young people who were interested in this new industry. At that time the brand of Bazinama just represented itself as a video game magazine, but today Bazinama works on other aspects of gaming industry such as its popular video game portal and development of some casual games. <sep> Hypothesis: Bazinama is published in Arabic.
Example Output: Neutral
Example Input: Premise: Ime Sunday Udoka ( ; born August 9, 1977) is a Nigerian-American former professional basketball player and current assistant coach for the San Antonio Spurs of the National Basketball Association (NBA). He played internationally with the Nigeria national basketball team. <sep> Hypothesis: Udoka has been involved with playing ball internationally in Nigeria, and teaching nationally in the United States with the NBA.
Example Output: Entailment
Example Input: Premise: Out of the Easy is a 2013 novel by Ruta Sepetys. It is her second published novel. It features Josie Moraine, a young woman in the 1950s French Quarter of New Orleans who struggles to escape her family and become the author of her own destiny. The novel became a New York Times bestseller and was chosen as an Editor’s Choice in the New York Times on February 15, 2013. <sep> Hypothesis: Ruta Sepetys was born before 2013.
Example Output: | Entailment
| 3 | NIv2 | task1385_anli_r1_entailment | fs_opt | [
0.5752214193344116,
-0.08898487687110901,
-0.5950518846511841,
-0.1749921441078186,
0.4445607662200928,
-0.49640417098999023,
1.0954735279083252,
0.7640930414199829,
0.2825621962547302,
-0.007402997929602861,
-0.49561336636543274,
1.0344388484954834,
-0.8851797580718994,
-0.473495066165924... |
You will be given a definition of a task first, then some input of the task.
You are given a statement written in Telugu. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: సమీప బాలబడి అడ్డతీగలలోను, ప్రాథమిక పాఠశాల, ప్రాథమికోన్నత పాఠశాల, మాధ్యమిక పాఠశాలలు <MASK>లోనూ ఉన్నాయి. సమీప జూనియర్ కళాశాల వై.రామవరంలోను, ప్రభుత్వ ఆర్ట్స్ / సైన్స్ డిగ్రీ కళాశాల అడ్డతీగలలోనూ ఉన్నాయి. సమీప వైద్య కళాశాల, మేనేజిమెంటు కళాశాల కాకినాడలోను, పాలీటెక్నిక్ రంపచోడవరంలోనూ ఉన్నాయి. సమీప వృత్తి విద్యా శిక్షణ పాఠశాల రంపచోడవరంలోను, అనియత విద్యా కేంద్రం అడ్డతీగలలోను, దివ్యాంగుల ప్రత్యేక పాఠశాల కాకినాడ లోనూ ఉన్నాయి.
Option A: యార్లగడ్డ
Option B: పెద్దాపురం
Option C: కాకినాడ
Option D: రంపచోడవరం
Output: | యార్లగడ్డ | 1 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | zs_opt | [
0.41097307205200195,
1.0950220823287964,
0.43352144956588745,
-0.5665792226791382,
-0.07811352610588074,
-0.46864038705825806,
0.17510195076465607,
0.9172109961509705,
-0.0911388024687767,
-0.17403559386730194,
-0.28987735509872437,
-0.3820321559906006,
-0.34606829285621643,
-0.17304161190... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Cremos ter atopado a forma de facelo e ides ser os primeiros en coñecela. | We believe that we have found a way to do so, and this is the first time that we've shown it in public. | 0 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.6926136016845703,
1.181214451789856,
0.44883179664611816,
-0.3802635073661804,
-0.1469077616930008,
-1.3617722988128662,
0.33389657735824585,
0.01641765609383583,
0.48180264234542847,
0.20399662852287292,
-0.18929339945316315,
-0.07176530361175537,
-0.4918363690376282,
0.345216572284698... |
Part 1. Definition
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Part 2. Example
ACTION1: telling my friends sister that she probably won't get a celebrity to go to prom with her ACTION2: breaking off a 'friendship' and leaving it as business only
Answer: no
Explanation: Both the actions are morally wrong and one cannot be differentiated from the other as morally less wrong.
Part 3. Exercise
ACTION1: telling my pregnant wife that there is pretty much not a single circumstance where I would choose saving the baby over saving her ACTION2: confronting my friend about the state of our friendship
Answer: | no | 7 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | fs_opt | [
-0.07592883706092834,
0.2913384735584259,
0.49986156821250916,
0.36307990550994873,
-0.28614020347595215,
-0.5564593076705933,
0.1727219521999359,
0.25540733337402344,
0.2155408412218094,
0.5379482507705688,
-0.24420112371444702,
-0.4161386489868164,
-0.8574079275131226,
-0.438538283109664... |
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
इस बार-पुणे-संधि-की तरफ जब ब्रिटिश सरकार का ध्यान दिलाया गया तो उसके पास इसे अनुमोदनार्थ पार्लियामेंट को भेजने के अलावा कोई चारा ही नहीं था ।
Hindi
ज़रूरी नहीं कि ये चीज़ें ख़ास ही हों ; मिलकर सिनेमा या फ़ुटबॉल का मैच देखने जाना या फिर साथ बैठकर सिर्फ़ टेलिविज़न देखना भी हो सकता है ।
Hindi
The Brigadier declares that he was altogether unaware of the identity of the fugitive but thought that he was one of the crew who had possibly committed an offence on board .
| English
| 0 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | fs_opt | [
-0.020720914006233215,
0.34741610288619995,
0.013962483033537865,
-0.006724084261804819,
0.27357766032218933,
-0.5159162282943726,
0.4473576247692108,
-0.0613667294383049,
0.40096205472946167,
-0.9074282646179199,
-0.6729257702827454,
-0.19237937033176422,
0.05212198197841644,
0.0996343046... |
TASK DEFINITION: Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
PROBLEM: Question1: What are some similarities and differences between the Republican Party and the Conservative Party (UK)?, Question2: What faction of the UK Conservative Party is most similar to the US Republican Party?
SOLUTION: No
PROBLEM: Question1: How can I find a good therapist in the Philippines?, Question2: How could I be a good therapist?
SOLUTION: No
PROBLEM: Question1: What are the benefits of a cashless economy? Are there any disadvantages too?, Question2: What are some disadvantages of the informal economy?
SOLUTION: | No
| 8 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.4775303602218628,
0.3185265064239502,
0.18042172491550446,
-0.019940275698900223,
-0.6158278584480286,
-0.14075136184692383,
1.1977277994155884,
0.5772080421447754,
0.17928142845630646,
-0.023225558921694756,
-0.05420278012752533,
-0.2737405598163605,
-0.1995500773191452,
0.215868711471... |
In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Q: Step 1: For each row in Customers table, find the corresponding rows in Lessons table.
Step 2: find the average price in the results of step 1 whose first_name equals Janessa and last_name equals Sawayn
A: | SELECT Avg ( T2.price ) FROM Customers AS T1 JOIN Lessons AS T2 ON T1.customer_id = T2.customer_id WHERE T1.first_name = "Janessa" AND T1.last_name = "Sawayn" | 4 | NIv2 | task077_splash_explanation_to_sql | zs_opt | [
0.44890809059143066,
0.541466236114502,
-1.2209125757217407,
0.7250956892967224,
-0.4262982904911041,
-0.07454170286655426,
0.8412330746650696,
0.9026896953582764,
-0.5032902956008911,
0.514156699180603,
0.3867515027523041,
0.5061689615249634,
-0.10247894376516342,
0.35026299953460693,
0... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Example input: E eu continuo a pensar que o transporte é o centro deste universo.
Example output: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Example explanation: The Portugese sentence is correctly translated into Farsi, because the meaning is preserved.
Q: As campanhas não-violentas também são menos propensas a causar danos físicos àqueles que estão a travar a campanha, bem como aos seus oponentes.
A: | همچنین این کمپین ها آسیب فیزیکی کمتری رو به اونهایی که از اون حمایت می کنند ، و همچنین مخالفینش وارد می کنند. | 3 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.657913863658905,
0.8879925012588501,
0.44742944836616516,
0.37083861231803894,
-0.8349876403808594,
-0.5051405429840088,
0.5712332725524902,
0.6202384233474731,
0.34323614835739136,
0.2799733281135559,
-1.0306050777435303,
0.5467240810394287,
-0.5267353057861328,
0.369364857673645,
0.... |
Detailed Instructions: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the number of the missing sentence in the new story.
See one example below:
Problem: Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: He is happy now.
Solution: 4, The incident caused him to turn a new leaf.
Explanation: As mentioned in fourth sentence, he is happy now; so, the incident turned a new leaf to Rick's life.
Problem: Sentence1: Danny bought a boat. Sentence2: His nearby marina was having a race. Sentence3: He decided to enter. Sentence4: They prepared for the start of the race.
Solution: | 4, Danny and his best friend manned the boat. | 4 | NIv2 | task299_storycloze_sentence_generation | fs_opt | [
-0.5702563524246216,
0.7262080907821655,
-0.15457594394683838,
-0.4573153555393219,
0.07689573615789413,
-0.31043189764022827,
0.48633241653442383,
0.8960751295089722,
0.38892441987991333,
0.13589099049568176,
-0.7547656297683716,
-0.36976954340934753,
-0.5344104766845703,
0.19455845654010... |
Given the task definition, example input & output, solve the new input case.
The provided file includes inquiries about restaurants in Chinese, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
Example: 附近是否有任何10星评价的" italian "餐厅？
Output: are there any " italian " restaurants nearby with 10 star reviews ?
The translation correctly preserves " italian " entity and is accurate
New input case for you: 搜索获得0星或更好评价的" vegetarian "餐厅。
Output: | search for " vegetarian " restaurants with 0 star reviews or better . | 1 | NIv2 | task260_spl_translation_zh_en | fs_opt | [
-0.35586339235305786,
0.8197481036186218,
0.09031666815280914,
0.27062639594078064,
0.2092496156692505,
-0.37436556816101074,
0.26932594180107117,
0.8408808708190918,
-0.3396650552749634,
-0.36269184947013855,
0.4278385639190674,
0.43482112884521484,
-0.038537029176950455,
0.10492112487554... |
Detailed Instructions: This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.
Problem:At an elevation of 610 metres above sea level, Adolfo Suárez Madrid–Barajas Airport is in Madrid (part of the Madrid community), in Spain.
Solution: | [['Madrid', 'IS_PART_OF', 'Community of Madrid'], ['Adolfo Suárez Madrid–Barajas Airport', 'ELEVATION', '610.0'], ['Adolfo Suárez Madrid–Barajas Airport', 'LOCATION', 'Madrid'], ['Madrid', 'COUNTRY', 'Spain']] | 8 | NIv2 | task1410_dart_relationship_extraction | zs_opt | [
-0.19626682996749878,
0.8241763710975647,
-0.5647595524787903,
-0.7221561670303345,
-0.5869683027267456,
0.37977683544158936,
1.5078885555267334,
0.359500527381897,
0.10857658088207245,
-0.39838752150535583,
-0.9943065047264099,
0.0792970359325409,
-0.5391121506690979,
0.22662246227264404,... |
Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
See one example below:
Problem: #1 return secretaries
#2 return #1 born in state 'Alabama
#3 return departments managed by #2
#4 return distinct creation years of #3
Solution: What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'?
Explanation: You should follow the steps in order to realize what is the asked question. In this example, the first returned entities are secretaries(based on step #1) who are born in Alabama(based on step #2). In the step #3 departments managed by step #2(which is secretaries born in Alabama. In the final steps the creation years of the departments is returned, so the question will be about the creation years of the departments.
Problem: #1 return cylinders
#2 return #1 that are similarly sized
#3 return #2 that is the farthest back in the group
#4 return the color of #3
Solution: | There are three similarly sized cylinders: what is the color of the one farthest back in the group? | 4 | NIv2 | task184_break_generate_question | fs_opt | [
0.7293803691864014,
-0.05569291114807129,
-0.6496008038520813,
0.22564396262168884,
0.16739578545093536,
-0.28593477606773376,
0.6599478721618652,
0.5209362506866455,
-0.4663282632827759,
0.6740769147872925,
-0.34735429286956787,
0.42448633909225464,
0.09590162336826324,
0.1485345065593719... |
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
[EX Q]: Event:PersonX finally got around. Intent: 1) to look good 2) to wear the new clothes to an event 3) to feel good about him/herself. XEmotion: 1) happy 2) excited 3) satisfied
[EX A]: great and refreshed
[EX Q]: Event:PersonX is close friends. Intent:. XEmotion: 1) miserable and unhappy.
[EX A]: happy too
[EX Q]: Event:PersonX texts while driving. Intent: 1) to store the goods. XEmotion: 1) accomplished
[EX A]: | endangered
| 6 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.13307613134384155,
0.09659038484096527,
0.1713941991329193,
-0.49675700068473816,
-0.7308768630027771,
-0.3176719844341278,
1.0244060754776,
0.42358267307281494,
0.2022610455751419,
-0.39469391107559204,
0.15397870540618896,
-0.001387995551340282,
-0.4908732771873474,
0.26399195194244385... |
Instructions: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Input: what does Ulvi Dogan appear in?
Output: | Dry Summer | 3 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.30162060260772705,
0.2728846073150635,
-0.8867232799530029,
0.6052355766296387,
-0.7498468160629272,
0.4173251688480377,
1.384217381477356,
0.07511437684297562,
0.290044367313385,
-0.8484116196632385,
-0.7643033266067505,
0.38748136162757874,
-0.3369680643081665,
0.022629663348197937,
... |
In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
Q: If you like jasmine tea, This is a great tea! Its lite not, overly medicine tasting like jasmine tea can be. Its also fun to watch the tea leaves unfurl... I steep it so many times that until I lost count.. haha. Just Great .
Summary: Great for multi-infusion.. Jasmine Dragon Pearl Green TEA
A: | True | 4 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
-0.3412454128265381,
-0.09405198693275452,
-0.1817135214805603,
-0.43337175250053406,
0.001498774392530322,
-0.673372745513916,
0.7975379228591919,
0.13920235633850098,
0.3054850697517395,
0.2313496172428131,
0.3974969983100891,
-0.11290140450000763,
-0.710082471370697,
0.05244268476963043... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Q: Jerusalem (CNN) Long-time Palestinian rivals Fatah and Hamas have reached a reconciliation agreement after a decade of failed attempts and often bitter acrimony. Under the deal, brokered by Egypt, a new unity government will take administrative control of Gaza in December. If the deal holds, it would end a decade-long rift that began with violent clashes between the two groups in 2007. Fatah, the party of Palestinian Authority President Mahmoud Abbas, governs the West Bank, while Hamas runs Gaza. The two factions had started reconciliation talks in Cairo on Tuesday. Senior Hamas member Saleh al-Arouri told a Cairo news conference that Hamas was determined to end the division between it and Fatah, saying they had "no choice but to continue to advance the unity of [the Palestinian people] and reach our hopes and aspirations."Long-standing Palestinian rivals agree accordDeal could mean the end of a decade-long rift between the West Bank and Gaza
Questions:The Palestinian Authority had demanded, for example, that Hamas disband its military wing and relinquish security control to the Palestinian Authority, a point _ had refused to concede. (A) Jerusalem (B) CNN (C) Palestinian (D) Fatah (E) Hamas (F) Egypt (G) Gaza (H) Palestinian Authority (I) Mahmoud Abbas (J) West Bank (K) Cairo (L) Saleh al (M) Arouri (N) Long (O) Deal
A: | (E) | 4 | NIv2 | task302_record_classification | zs_opt | [
0.9264014363288879,
0.36628657579421997,
0.11717291176319122,
-0.011246002279222012,
0.04099491983652115,
-0.35605716705322266,
1.4564039707183838,
0.6793186664581299,
0.5457357168197632,
0.5121287107467651,
-0.08008842170238495,
1.179518461227417,
-1.2183886766433716,
0.09628477692604065,... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Ex Input:
Sentence: 'a brown bull with very long horns walking through a forest'. Remove all words of length '4' in the given sentence.
Ex Output:
a brown horns walking through a forest
Ex Input:
Sentence: 'a large flock of birds flying over a field next to a tree'. Remove all words of length '2' in the given sentence.
Ex Output:
a large flock birds flying over a field next a tree
Ex Input:
Sentence: 'a cat sitting on a desk next to a computer'. Remove all words of length '3' in the given sentence.
Ex Output:
| a sitting on a desk next to a computer
| 1 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
-0.22793202102184296,
0.4298384189605713,
-0.5856454372406006,
-0.4221368134021759,
-0.1424107849597931,
-0.682570219039917,
-0.1716446876525879,
0.3600107431411743,
-0.15047630667686462,
-0.27107375860214233,
-0.9907244443893433,
-0.11868905276060104,
-0.4872691035270691,
-0.1543303281068... |
Definition: In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Input: (A) stopping helping my friend apply for university
(B) getting after my boyfriend about his driving
Output: | A | 2 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.3749973475933075,
0.432769775390625,
0.42204681038856506,
-0.7323638796806335,
-0.772327184677124,
-0.31300461292266846,
0.17238107323646545,
0.24501045048236847,
0.4694085717201233,
0.20131409168243408,
-0.7674610018730164,
-0.25194692611694336,
0.33662205934524536,
-0.7153590321540833... |
Q: In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Has a woman ever raped a man?
A: | If a woman rapes a man and gets pregnant, what rights does the man have? Would he have to pay child support? | 7 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.19190579652786255,
1.5704877376556396,
-0.3039189577102661,
-0.4619954824447632,
-0.5217822194099426,
0.006328459829092026,
0.7428138256072998,
0.16218248009681702,
0.10421491414308548,
0.08693081885576248,
-0.6954848766326904,
0.6063249111175537,
-0.4323112368583679,
0.0642996281385421... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: English: According to Navi Pillay, High Commissioner for Human Rights at the United Nations, more than 5,000 people have been killed during the Syrian uprising, a figure that includes around 300 children.
Japanese: 国連人権高等弁務官のナビ・Pillayによると、5,000人以上がシリア蜂起で殺害され、約300人の子供が含まれている計算になる。
A: Yes
****
Q: English: "The secessionist forces plot to stir up public sentiments to embolden themselves."
Japanese: マッサは1993年のアイルトン・セナ以来、母国で優勝した初めてのブラジル人になった。
A: No
****
Q: English: As investigations continue, all bodies have been removed from the sub-surface Circle line trains, but the carriages themselves are still in situ while a painstaking forensic investigation takes place.
Japanese: 捜査が続けられているので、環状線の電車からすべての遺体が撤去されたが、車両自体は入念な法医学調査が行われるあいだ元の場所にとどめられている。
A: | Yes
****
| 4 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
0.3571481704711914,
-0.751577615737915,
0.33151599764823914,
0.461275190114975,
0.6367577910423279,
-0.42348143458366394,
0.7241142392158508,
0.5033303499221802,
-0.37991106510162354,
0.700229287147522,
-0.11354553699493408,
0.5373883247375488,
-0.5270912647247314,
0.3660421371459961,
0.... |
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
Ex Input:
white wamin beat nigger wamin fact
Ex Output:
white wamin beat nigger wamin
Ex Input:
djt will go down as a great president if the next <number> are like the 1 st year george washington was the greatest ever and none since will unseat his legacy ovomit the fag muzzie was the worst ever and jimmy carter the 2 nd worst ever
Ex Output:
ovomit the fag muzzie
Ex Input:
i was talkin to deepak he a curry nignog streetpooper i do not even remember where the conversation with it started lol
Ex Output:
| curry nignog streetpooper
| 1 | NIv2 | task1504_hatexplain_answer_generation | fs_opt | [
-0.8208308815956116,
0.49841880798339844,
0.15134572982788086,
0.6983277201652527,
-0.24067682027816772,
-0.8274771571159363,
-0.4153832793235779,
0.8741178512573242,
0.5448929071426392,
0.505115270614624,
-0.580288290977478,
0.18051058053970337,
-0.6373445987701416,
-0.7690805196762085,
... |
Given the task definition and input, reply with output. In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Hypothesis: You don't have to be part of any celebrations that you don't want to be part of.
Update: the celebration makes you uncomfortable
| strengthener | 5 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.5112383961677551,
0.7428666353225708,
0.21558263897895813,
0.3295150697231293,
0.10919605940580368,
-0.5070525407791138,
0.6444886922836304,
0.7045619487762451,
0.4734511971473694,
-0.6287034749984741,
-1.4005358219146729,
-0.0348009318113327,
-0.3541286587715149,
0.13536156713962555,
... |
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any external knowledge. Subjective questions are not allowed. Create questions that result in factoid answers. A simple rule of thumb to decide whether a question is factoid or not is to see if two different people with average reading/comprehension skills would come up with the same answer after reading the passage.
Example input: Twenty-year-old Will Hunting of South Boston is a self-taught, genius-level intellect, though he works as a janitor at the Massachusetts Institute of Technology and spends his free time drinking with his friends, Chuckie (Ben Affleck), Billy (Cole Hauser) and Morgan (Casey Affleck). When Professor Gerald Lambeau (Stellan Skarsgård) posts a difficult mathematics problem as a challenge for his graduate students, Will solves the problem anonymously, stunning both the graduate students and Lambeau himself. As a challenge to the unknown genius, Lambeau posts an even more difficult problem. Lambeau chances upon Will solving the problem but Will flees the scene. That night at a bar, Will meets Skylar (Minnie Driver), a British student about to graduate from Harvard, who plans on attending medical school at Stanford and gives Will her phone number before leaving.
Example output: How old is Will Hunting in the movie ?
Example explanation: This is a good question which has a factoid answer.
Q: See also: Along Came a SpiderAfter Washington, D.C. detective, forensic psychologist and author Alex Cross (Morgan Freeman) loses control of a sting operation, resulting in the death of his partner, he opts to retire from the force. He finds himself drawn back to police work when Megan Rose (Mika Boorem), the daughter of a United States senator, is kidnapped from her exclusive private school by computer science teacher Gary Soneji (Michael Wincott). U.S. Secret Service Special Agent Jezzie Flannigan (Monica Potter), held responsible for the breach in security, joins forces with Cross to find the missing girl.Soneji contacts Cross by phone and alerts him to the fact one of Megan's sneakers is in the detective's mailbox, proving he's the kidnapper. Cross deduces the man is obsessed with the 1932 Charles A. Lindbergh Jr. kidnapping and hopes to become as infamous as Bruno Hauptmann by committing a new "Crime of the Century" which might be discussed by Cross in one of his true crime books. Megan's kidnapping proves to be only part of Soneji's real plan: to kidnap Dimitri Starodubov (Anton Yelchin), the son of the Russian president, guaranteeing himself greater infamy.After Cross and Flannigan foil his second kidnapping plot, a supposed call from the kidnapper demands Cross deliver a ransom of $10 million in diamonds by following an intricate maze of calls made to public phone booths scattered throughout the city. Cross ultimately tosses the gems out the window of a rapidly moving Metro train to a figure standing by the tracks. When Soneji later arrives at Flannigan's home and confronts Cross after disabling Flannigan with a taser, the detective realizes the kidnapper is unaware of the ransom demand and delivery. Soneji tries to leave with Flannigan but Cross kills him.Cross becomes suspicious and realizes someone discovered Soneji long before his plot came to fruition. After searching Flannigan's home computer, he finds enough evidence to prove Flannigan and her fellow Secret Service agent, Ben Devine (Billy Burke), used Soneji as a pawn in their own plot. He tracks them down to a secluded farmhouse where Flannigan has murdered Devine and is now intent on eliminating Megan Rose. Cross saves Megan and shoots Flannigan in the heart, killing her. Afterwards, Alex takes Megan back to her parents.
A: | Who realizes someone discovered Soneji? | 3 | NIv2 | task193_duorc_question_generation | fs_opt | [
0.5828489065170288,
-0.01928190141916275,
-0.6584047079086304,
-0.3238043189048767,
0.5006282329559326,
-0.3354071378707886,
0.6419180035591125,
0.9716072082519531,
0.024263247847557068,
0.10963708162307739,
-0.4648875594139099,
0.4797282814979553,
-0.5479211807250977,
0.5252476930618286,
... |
The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user may ask details of the place suggested by the system such as phone number, address, etc. Given such a dialogue, output a summary of the dialogue stating the criteria provided and details seeked by the user in this dialogue. The summary should strictly be in second person point of view. The summary should not contain any information that was not present in the conversation.
Input: Consider Input: System: 'Thank you for calling the Cambridge Information system. Your call will be recorded for research purposes. You may ask for information about a place to eat, such as a restaurant, a pub, or a cafe. How may I help you?'
User: 'yes coffee shop'
System: 'What kind of price range are you looking for? For example, cheap, expensive, or moderate.'
User: 'i dont care'
System: 'What part of town do you have in mind? For example, something in the Cherry Hinton, Girton, or riverside area.'
User: 'in the city'
System: 'There is no cafe in the Romsey area.'
User: 'city center'
System: 'Cafe Eleven is an outstanding cafe.'
User: 'a address'
System: 'Cafe Eleven is located on 11 Burleigh Street.'
User: 'and the type of food'
System: 'Cafe Eleven is a great cafe.'
User: 'what type of food'
System: 'Cafe Eleven is an outstanding cafe.'
User: 'food'
System: 'Cafe Eleven is a great cafe.'
User: 'thank ou'
System: 'Would you like a romsey area, or you don't care?'
User: 'yes romsey area'
System: 'There is no cafe in the Romsey area.'
User: 'well thank you good bye'
System: 'Cafe Eleven is an outstanding cafe.'
User: 'thank you good bye'
Output: You want to find a coffee shop in the city centre. You don't care about the price range. You want to know the address and type of food of the venue.
Input: Consider Input: System: 'Thank you for calling the Cambridge Information system. Your call will be recorded for research purposes. You may ask for information about a place to eat, such as a restaurant, a pub, or a cafe. How may I help you?'
User: 'i need to find a moderately priced restaurant in the cherryhinton area'
System: 'What type of food would you like? For example, pub, French, or International.'
User: 'doesnt matter'
System: 'Sitar Tandoori, which is in the Cherry Hinton part of town, is a great restaurant. It's in the moderate price range.'
User: 'noise'
System: 'What part of town do you have in mind? For example, something in the Chesterton, Fen Ditton, or King's Hedges area.'
User: 'noise'
System: 'What part of town do you have in mind? For example, something in the Chesterton, Girton, or New Chesterton area.'
User: 'noise'
System: 'What part of town do you have in mind? For example, Newnham, or riverside.'
User: 'noise'
System: 'Are you looking for a cafe or a restaurant?'
User: 'noise'
System: 'Are you looking for a cafe or a restaurant?'
User: 'cherryhinton'
System: 'Would you like a thai food, or you don't care?'
User: 'ch cherryhinton'
System: 'Are you looking for a cafe or a restaurant?'
User: 'i dont care'
System: 'Would you like a thai food, or you don't care?'
User: 'yes'
System: 'Would you like a thai food, or you don't care?'
User: 'noise'
System: 'Are you looking for a cafe or a restaurant?'
User: 'restaurant'
System: 'Would you like a thai food, or you don't care?'
User: 'ya thai food'
System: 'Would you like a thai food, or you don't care?'
User: 'i dont care'
System: 'Sitar Tandoori is a great restaurant and it's in the Cherry Hinton part of town. It's in the moderate price range.'
User: 'wheres the phone number and address'
System: 'Sitar Tandoori is located on 43 High Street, Cherry Hinton and its phone number is 01223249955.'
User: 'thank you goodbye'
Output: You want to find a moderately priced restaurant and it should be in the Cherry Hinton area. Make sure you get the phone number and address.
Input: Consider Input: System: 'Thank you for calling the Cambridge Information system. Your call will be recorded for research purposes. You may ask for information about a place to eat, such as a restaurant, a pub, or a cafe. How may I help you?'
User: 'an english restaurant'
System: 'What kind of price range are you looking for? For example, free, or moderate.'
User: 'any kind'
System: 'What kind of price range are you looking for? For example, cheap, or moderate.'
User: 'moderate'
System: 'Carringtons is a great cafe and an outstanding restaurant, it serves cafe food and english food and it's in the moderate price range.'
User: 'and the address'
System: 'Carringtons is located on 23 Market Street.'
User: 'in what area'
System: 'Carringtons is in the central part of town.'
User: 'breathing thank you goo'
System: 'Can I help you with anything else?'
User: 'unintelligible'
| Output: You want to find an English restaurant. You don't care about the price range. Make sure you get the address and area of the venue.
| 2 | NIv2 | task1499_dstc3_summarization | fs_opt | [
0.29248204827308655,
0.2666216492652893,
-0.13238003849983215,
-0.15591315925121307,
0.6095949411392212,
-0.6035664081573486,
0.6420902013778687,
0.9532003998756409,
-0.18925665318965912,
0.16552917659282684,
0.3038082718849182,
-0.07860209047794342,
-0.5728020071983337,
0.1146484464406967... |
Q: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Review: Well, I'd heard from somewhere that Ossessione is a precursor to the Italian film genre, and particular favourite of mine, the 'Giallo'...but actually, aside from the fact that this is a thriller that was made in Italy; the two have pretty much no relation. In the sixties and seventies, Italian film-makers would get themselves a reputation for ripping off just about every successful American film released. They've not done that here, but Ossessione does follow almost the exact same story as the later American film 'The Postman Always Rings Twice', without giving the book's author, James M. Cain, so much as a credit! Anyway, the plot focuses on Gino Costa, a handsome drifter who, by chance, stumbles upon a café where a woman named Giovanna Bragana works. He soon learns that she's married to Giuseppe; a big fat annoying man, whom Giovanna can't stand to have even touching her. He wants the pair of them to run away together, but she's not so keen on the idea. However, fate ends up intervening and her plan to have her husband murdered is successful...Despite the fact that the film loses some credibility for not crediting the author whose story it's based on, it has to be said that director Luchino Visconti implements the film noir style well, and in a way I even prefer the atmosphere of this film to some of the bigger American noir classics. The story is, as you would expect, extremely strong and the Visconti manages to pull good performances out of his cast. Visconti drags the film out a little bit too much, however, and with a running time of almost 135 minutes, I felt that the story was too thin to warrant this kind of length. I almost feel guilty for levelling all this criticism at Ossessione as it IS a good film, but it's not a 'great' film. The relationship between the two central characters is never really explored properly, and it seems like the film is keener to distract us from it rather than let us into the characters' heads. There's not much mystery to the plot as we pretty much always know what's going on, and by not always focusing on the characters themselves; the film is not as interesting as it could have been. Still, it makes for an interesting viewing and comes recommended for that reason...although it's not as good as the 1946 version of the same James M. Cain classic. Question: is it a negative review?
A: | no | 7 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.43933504819869995,
0.15262840688228607,
-0.2368248701095581,
0.46028316020965576,
0.6213237047195435,
-0.39917632937431335,
0.8603716492652893,
1.059835433959961,
0.3424660563468933,
0.32469433546066284,
-0.3186407685279846,
0.11532974243164062,
-0.7122124433517456,
0.4476235508918762,
... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Input: Echemos un vistazo a la actualidad.
Output: | Vamos ver como é hoje. | 2 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
0.2416994869709015,
0.8669586181640625,
0.07499834895133972,
-0.29847845435142517,
-0.1760251522064209,
-0.2420080155134201,
-0.2947435677051544,
1.0573197603225708,
1.0715594291687012,
-0.10463742911815643,
-0.7724390029907227,
-0.1089644804596901,
0.01774003729224205,
0.41012459993362427... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios.
[Q]: Lucas entered the kitchen. Jack entered the kitchen. The lime is in the green_envelope. Lucas moved the lime to the green_basket. Where does Lucas think that Jack searches for the lime?
[A]: green_basket
[Q]: Elizabeth entered the sunroom. Mia entered the sunroom. The onion is in the red_suitcase. Mia exited the sunroom. Elizabeth moved the onion to the red_treasure_chest. Elizabeth exited the sunroom. Mia entered the sunroom. Where does Elizabeth think that Mia searches for the onion?
[A]: red_suitcase
[Q]: Mia entered the staircase. Jacob entered the staircase. The peach is in the blue_crate. Jacob exited the staircase. Mia moved the peach to the red_pantry. Where is the peach really?
[A]: | red_pantry
| 5 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
-0.4800058603286743,
-0.34884488582611084,
-0.5456677675247192,
-0.08996948599815369,
-0.48034608364105225,
-0.48198992013931274,
-0.03488614410161972,
0.7910051345825195,
0.026767825707793236,
-0.07901082932949066,
-0.1939023733139038,
0.18413659930229187,
-0.43715399503707886,
0.24982635... |
Detailed Instructions: Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
See one example below:
Problem: Somali sentence: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Solution: Lionel Messi is the greatest football player of all time
Explanation: The output exactly translates the Somali sentence to it's English equivalent. Even though the phrase 'greatest player ever' is translated to 'greatest player of all time', the meaning remains the same.
Problem: Somali sentence: Xuseen Cabdi Xalane ayaa faylal ay wasaaraddu leedahay iyo gaadiidkii ay isticmaali jirtay wareejiyay, isagoo sheegay intii uu xilka hayay ay wasaaraddu ku guuleysatay sameynta miisaaniyadda guud ee xukuumadda, [...]
Solution: | Kaqaybgaleyaasha ayaa isweydaarsaday fikrado ku aaddan qaab-dhismeedka sharciga iyo sidii uu u noqon lahaa mid suuragalin kara in la cirib-tiro gabi ahaanba kufsiga. | 4 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
-0.13791602849960327,
0.5734109878540039,
-0.1415879875421524,
-0.16945549845695496,
0.1597946137189865,
-1.0015778541564941,
-0.1479838490486145,
0.8498212695121765,
0.36893588304519653,
-0.12177656590938568,
0.17334946990013123,
1.1680963039398193,
-0.5207404494285583,
0.0957123115658760... |
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.
Premise: من نمی دانم شما کمپینگ زیادی انجام می دهید <sep> Label: Contradiction | من دقیقاً می دانم | 0 | NIv2 | task464_parsinlu_entailment_sentence_generation | zs_opt | [
-1.0467326641082764,
0.0844646543264389,
0.4163379371166229,
0.10323982685804367,
-0.3993804454803467,
-1.1358284950256348,
0.3890146017074585,
0.19996702671051025,
0.028900714591145515,
-0.48514488339424133,
-1.019810438156128,
0.3586570620536804,
-0.7400490045547485,
0.06925520300865173,... |
Detailed Instructions: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
See one example below:
Problem: أمي - سأعود بالحال -
Solution: Mommy will be right back.
Explanation: This is a good example. The above sentence is correctly translated from Arabic to English.
Problem: ...نعم, ولكن كيف تشعر؟
Solution: | Yeah, but how are you feeling? | 4 | NIv2 | task650_opus100_ar_en_translation | fs_opt | [
-0.26737502217292786,
-0.11640795320272446,
-0.09706041216850281,
-0.7685191631317139,
-0.3310587704181671,
-0.7093009352684021,
1.1491780281066895,
1.2210197448730469,
0.4094806909561157,
0.26518386602401733,
-0.4368046522140503,
0.615937352180481,
-0.6482862234115601,
-0.0737164914608001... |
Detailed Instructions: In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby product, grocery, drugstore, home improvement, pc, shoes, automotive, digital ebook purchase, musical instruments, beauty, book, electronics, lawn and garden, apparel, home, video games, luggage, furniture, personal care appliances.
Q: This product totally stinks! They are the worst speakers I've ever had, and the most expensive. I got two of them and the batteries in them were useless after 2 months. One of them turns itself off if I turn the volume up, and has to be plugged in to function. The other one just stopped charging and now the battery is dead! I'm so unhappy I got stuck with these crappy speakers.
A: | electronics | 9 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.27074193954467773,
0.2048514038324356,
-0.5073632001876831,
-0.031638242304325104,
0.3208020329475403,
-0.05243248492479324,
-0.14278888702392578,
0.35093486309051514,
-0.19222983717918396,
0.7124659419059753,
0.09941966831684113,
0.6741153597831726,
-0.3023282587528229,
-0.567868828773... |
Instructions: This task is about translating a given Yoruba language sentence to English.
Input: Ó kéré tán èèyàn mẹ́ta ló pàdánù ẹ̀mí wọn.
Output: | At least three people were killed. | 3 | NIv2 | task1686_menyo20k_translation | zs_opt | [
0.5675292611122131,
0.7584545612335205,
0.020227350294589996,
-0.4234544634819031,
-0.13762019574642181,
-0.742640495300293,
0.71528160572052,
-0.653329074382782,
-0.22089873254299164,
-0.48130983114242554,
0.15594163537025452,
0.8368580341339111,
-0.6197002530097961,
-0.268632173538208,
... |
You will be given a definition of a task first, then some input of the task.
A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence.
కేంద్రంలో మోదీ ప్రభుత్వం 3 సంవత్సరాల పాన పూర్తి సందర్భంలో 2017 జూన్ 1న హైదరాబాద్ లో ‘వికాస్ పర్వ్’ ప్రత్యేక కార్యక్రమం - కేంద్ర మంత్రి శ్రీ దత్తాత్రేయ చేతుల మీదుగా ఈ కార్యక్రమం ప్రారంభం కానుంది: శ్రీ స్వపన్ కుమార్ దత్తా, డిప్యూటీ డైరెక్టర్ జనరల్ ఆఫ్ మైన్స్ సేఫ్టీ, సౌత్ సెంట్రల్ జోన్
Output: | Ministry of Mines VIKAS PARV ON 1ST JUNE IN HYDERABAD TO COMMEMORATE THE COMPLETION OF 3 YEARS OF NDA RULE AT THE CENTRE | 1 | NIv2 | task1048_pib_translation_telugu_english | zs_opt | [
-0.06338731944561005,
0.4106718897819519,
-0.2015371322631836,
-0.4626352787017822,
-0.2550199031829834,
-0.629851222038269,
0.47353583574295044,
0.7005738019943237,
0.10227003693580627,
-0.004669378511607647,
-0.20835059881210327,
0.025287674739956856,
-0.9924710988998413,
0.4238350987434... |
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example: English: Details were given by the UK Transport Secretary, Ruth Kelly, in the House of Commons at 1730 UTC yesterday.
Hindi: कल ब्रिटेन के परिवहन सचिव रूथ केली द्वारा 1730 UTC पर हाउस ऑफ़ कॉमन्स में विवरण दिए गए।
Example solution: Yes
Example explanation: The converted Hindi sentence is correctly translated from English because converted sentence has the same message as the original English sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
Problem: English: Neither reporter actually wrote an article about Ms. Plame, whose identity was actually broken by Robert Novak in a July 14, 2003 column in the Chicago Sun-Times, but they have been the target of Special Counsel Patrick Fitzgerald of Illinois.
Hindi: न तो रिपोर्टर ने वास्तव में सुश्री प्लेम के बारे में एक लेख लिखा था, जिसकी पहचान वास्तव में 14 नवंबर 2003 को शिकागो सन-टाइम्स में रॉबर्ट नोवाक द्वारा की गई थी, लेकिन वे इलिनोइस के विशेष वकील पैट्रिक फिट्जगेराल्ड के लक्ष्य पर थे।
| Solution: Yes | 5 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.15847346186637878,
0.12619508802890778,
0.5727252960205078,
0.8759559392929077,
0.5463842749595642,
-0.3914659023284912,
-0.43891116976737976,
0.28138571977615356,
-0.5453842878341675,
-0.21434162557125092,
0.14222946763038635,
0.41677325963974,
0.12690778076648712,
0.188658207654953,
... |
Detailed Instructions: The provided file includes inquiries about restaurants, and we ask you to translate those to the Turkish language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
Q: show me all the of review written by " alex smith " about " chinese " restaurants .
A: | bana " alex smith " tarafından " chinese " restoranlar hakkında yazılmış tüm değerlendirmeleri göster. | 9 | NIv2 | task252_spl_translation_en_tr | zs_opt | [
-0.39021527767181396,
0.2845800817012787,
0.07812659442424774,
-0.2257796823978424,
0.08204333484172821,
0.02955229952931404,
0.8099241852760315,
-0.14992280304431915,
-0.12794603407382965,
-0.08197209984064102,
0.5251878499984741,
0.2048051953315735,
-0.4499138593673706,
0.805189609527587... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Input: Con este tipo de imágenes — este tipo de vistas de luces infrarrojas, ultravioleta o invisible — nunca podríamos haber hecho las vistas a través de los plagios en oro.
Output: | Con questo tipo di immagini — questo tipo di immagini create con luce infrarossa, ultravioletta ed invisibile — siamo stati in grado di creare immagini andando oltre le falsificazioni d'oro sul fondo. | 2 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.7739008665084839,
0.9548180103302002,
-0.1492321491241455,
0.2045503407716751,
-0.4598349928855896,
0.4270556569099426,
-0.22268658876419067,
1.615172028541565,
0.19100479781627655,
-0.5770748853683472,
-0.03502611070871353,
-0.29166102409362793,
0.40725696086883545,
0.29691290855407715... |
Teacher:You are given a sentence in English. Your job is to translate the English sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: We don't have to choose between inspired employees and sizable profits, we can have both.
Student: | Nie musimy wybierać między zmotywowanymi pracownikami a dużymi dochodami. Możemy mieć jedno i drugie. | 6 | NIv2 | task1092_ted_translation_en_pl | zs_opt | [
-0.32085227966308594,
0.32757094502449036,
0.47200316190719604,
-0.1914759874343872,
-0.5597493648529053,
-1.1332216262817383,
0.24987176060676575,
-0.08994649350643158,
0.47028154134750366,
0.10163423418998718,
0.09157818555831909,
-0.5071951150894165,
-0.23307012021541595,
-0.57884204387... |
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
One example: [7, 1, 5, 8, -4]
Solution is here: [6, 4, 3, 12]
Explanation: The output is a list of the absolute value of the differences of every two consecutive values. So this is a good example.
Now, solve this: [48, 92, 25, 85, -93, 58, 83]
Solution: | [44, 67, 60, 178, 151, 25] | 6 | NIv2 | task125_conala_pair_differences | fs_opt | [
-0.6724299192428589,
0.6586354970932007,
-0.628191351890564,
-0.05519893020391464,
-0.41370949149131775,
0.14117412269115448,
0.9746105670928955,
0.4798097014427185,
0.5744118690490723,
-0.6331493854522705,
-0.16872897744178772,
-0.36185890436172485,
-0.12208669632673264,
0.054198198020458... |
Definition: A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: আজ গোটা দেশ সর্দার বল্লভভাই প্যাটেলের স্মৃতিতে রাষ্ট্রীয় একতা দিবস পালন করছে।
Output: | सरदारसाहेबांकडून मिळालेला हा एकप्रकारचा आशीर्वादच आहे, असे मी मानतो. | 2 | NIv2 | task1061_pib_translation_bengali_marathi | zs_opt | [
-0.6199506521224976,
0.9385844469070435,
-0.19236034154891968,
0.278599351644516,
-0.20311051607131958,
-1.2621054649353027,
0.8639798760414124,
0.19940054416656494,
0.3092128336429596,
-0.3217773735523224,
-1.1429758071899414,
0.14895859360694885,
-0.016269579529762268,
0.3195971250534057... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
оу ну не плачь :( возможно просто сегодня у тебя такой тяжелый и трудный день | sadness | 0 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-0.947898268699646,
-0.14344006776809692,
0.10231608152389526,
-0.17318004369735718,
-0.42237499356269836,
-0.5461216568946838,
0.38092494010925293,
1.2079639434814453,
0.203566312789917,
0.0065254890359938145,
-0.24459165334701538,
-0.38256627321243286,
0.4290089011192322,
0.2924149632453... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
אבל מה שגילינו בהדמיות המוח היא תמונה עשירה ומרתקת של המוח האנושי.
A: | En lugar disto, o que as técnicas de imaxe do cerebro amosan é esta imaxe rica e interesante da mente humana. | 7 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-0.978631854057312,
0.6335632801055908,
0.829962968826294,
-0.807808518409729,
-0.6863894462585449,
-0.2939440608024597,
0.7795552015304565,
-0.13196103274822235,
1.1330671310424805,
-1.0109519958496094,
-0.7560635805130005,
0.18302828073501587,
-0.24504593014717102,
0.7586994767189026,
... |
Given the task definition, example input & output, solve the new input case.
Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the same as the answer to the original question.
Example: Question: what places in africa do people speak french?
Output: where in africa do people speak french?
The generated question means the same as the input question and the answer is the same, so this is a good answer.
New input case for you: Question: who was the last absolute monarch in europe?
Output: | who was the last great absolute european monarch? | 1 | NIv2 | task442_com_qa_paraphrase_question_generation | fs_opt | [
0.16572661697864532,
0.9588086605072021,
0.6214033365249634,
-0.2727500796318054,
0.20552054047584534,
-0.40297049283981323,
0.8673819303512573,
0.6568032503128052,
-0.4002546966075897,
-0.11654485762119293,
-0.7263399362564087,
0.03589041903614998,
-0.4374542236328125,
0.09862713515758514... |
Definition: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: داراي سرکردن .
Output: | head . | 2 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
0.14571645855903625,
0.2822933793067932,
-0.054972242563962936,
-0.2473815232515335,
-0.23225849866867065,
0.20677360892295837,
0.9577475786209106,
0.07708892971277237,
0.7605245113372803,
0.041909582912921906,
-0.8474823832511902,
-0.00041690305806696415,
-0.2695094048976898,
0.4552533030... |
Given the task definition and input, reply with output. In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Sarah has got three mates in her apartment
Sarah has got three hundred mates in her apartment
| second | 5 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
-0.32753005623817444,
0.839665412902832,
-0.23760248720645905,
-0.09007994830608368,
-0.38134703040122986,
-0.009453834965825081,
0.4178394675254822,
0.4052511155605316,
0.34474727511405945,
0.09948514401912689,
-0.3490726351737976,
-0.052037838846445084,
-0.6059088706970215,
-0.5718948841... |
You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
Q: System Reference: a la turca restaurant, is cheap.
Original Reference: a la turca restaurant is a good restaurant in the cheap price range.
A: | 1 | 4 | NIv2 | task1186_nne_hrngo_classification | zs_opt | [
-0.43484729528427124,
1.1353659629821777,
-0.678345263004303,
0.31392037868499756,
-0.5211172103881836,
-0.021108150482177734,
0.8955701589584351,
0.7172783613204956,
-0.06537602841854095,
-0.06454510241746902,
-0.21422506868839264,
0.4759995937347412,
-0.7051033973693848,
0.41530171036720... |
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: ['a', 'popular', 'R&B', 'brand', 'recently', 'returned', 'from', 'a', 'successful', 'three-city', 'tour', 'where', 'they', 'played', 'to', 'at', 'least', '120', 'so', 'at', 'least', '120,000', 'people', 'my', 'brain', 'immediately', 'says', "that's", 'greater', 'than', 'or', 'equal', 'to', '120', 'thousand', 'if', 'they', 'had', 'an', 'audience', 'of', '45,000', 'in', 'Mesa', 'and', 'another', '33,000', 'in', 'Denver', 'how', 'many', 'people', 'attended', 'their', 'show', 'in', 'Las', 'Vegas', 'so', "let's", 'say', 'Las', 'Vegas', "I'll", 'just', 'use', 'L', 'for', 'Las', 'Vegas', 'so', 'the', 'number', 'of', 'people', 'who', 'attended', 'the', 'show', 'in', 'Las', 'Vegas', 'plus', 'the', 'number', 'that', 'attended', 'the', 'show', 'in', 'Mesa', 'which', 'is', '45,000', 'plus', 'the', 'number', 'of', 'people', 'that']
Output: | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_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', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', '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', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF'] | 2 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.6968713998794556,
-0.25667285919189453,
-0.40475648641586304,
-0.08904534578323364,
0.6855422258377075,
-0.4338994026184082,
0.5398496985435486,
0.8832780122756958,
-0.4774015545845032,
0.1384076327085495,
-0.2267848700284958,
0.05699004977941513,
-0.28419941663742065,
-0.182880073785781... |
Teacher: You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragraph.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Optical mice use an LED and a camera to rapidly
capture images of the surface beneath the mouse.
The infomation from the camera is analyzed by a
DSP (Digital Signal Processor) and used to detect
imperfections in the underlying surface and
determine motion. Some materials, such as glass,
mirrors or other very shiny, uniform surfaces
interfere with the ability of the DSP to
accurately analyze the surface beneath the mouse.
\nSince glass is transparent and very uniform, the
mouse is unable to pick up enough imperfections in
the underlying surface to determine motion.
Mirrored surfaces are also a problem, since they
constantly reflect back the same image, causing
the DSP not to recognize motion properly. When the
system is unable to see surface changes associated
with movement, the mouse will not work properly.
Solution: why doesn't an optical mouse work on a glass
table?
Reason: The passage talks about the glass and mirror surfaces beneath the optical mice and how the mouse is unable to pick up enough imperfections in the underlying surface to determine motion. The last line of the passage explains why the mouse will not work properly on these surfaces. Thus it is a positive example.
Now, solve this instance: This is an opportunity for him to make believe Canadians that he cares about the environment, after all he is in election and he needs to gain votes...the true is that he almost did nothing for several years, ask the liberal deputy Thomas J. MULCAIR that almost resign because Stephane Dion(under Paul Martin) was not listen to him.
Student: | What do you think of canadian prime minister Paul Martin attitude in the kioto conference in Montreal? | 2 | NIv2 | task1594_yahoo_answers_topics_question_generation | fs_opt | [
-0.9041948318481445,
0.16615507006645203,
-0.5413405895233154,
0.20475676655769348,
0.4714711308479309,
-0.05597919225692749,
-0.4169592559337616,
0.9129705429077148,
-0.0433175265789032,
0.6904088258743286,
0.3779106140136719,
0.3143255114555359,
0.0989040732383728,
0.2845453917980194,
... |
Given the task definition and input, reply with output. In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' value then sort them by their 'second' key. Negative numbers should come before positive numbers.
[{'first': -3, 'second': -31}, {'first': -43, 'second': -66}, {'first': 66, 'second': 74}, {'first': 95, 'second': 80}, {'first': -10, 'second': 56}, {'first': 35, 'second': -53}, {'first': -72, 'second': -84}, {'first': -79, 'second': 86}]
| [{'first': -79, 'second': 86}, {'first': -72, 'second': -84}, {'first': -43, 'second': -66}, {'first': -10, 'second': 56}, {'first': -3, 'second': -31}, {'first': 35, 'second': -53}, {'first': 66, 'second': 74}, {'first': 95, 'second': 80}] | 5 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
-0.25373801589012146,
0.06889734417200089,
0.19335561990737915,
-0.023943381384015083,
0.335725337266922,
-0.007827620953321457,
0.08523193746805191,
0.8444980382919312,
-0.06254234910011292,
-0.34098559617996216,
-0.8056401014328003,
-0.37416765093803406,
-0.6407559514045715,
-0.511666834... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Input: Consider Input: At the end of 2009's \""SBC Goes to Vegas\"" epic comedy/tragedy, JMC, Cobber, and I spent one last day in Vegas, the start of which JMC led us to this spot overlooking the Venetian Canal. We imbibed carafe after carafe of a delicious sangria. I took note.\n\nThis year, at the end of a traditional/annual BFF/coworker trip, Sarah E, Sarah M, KarKar, and I spent an extra day in Vegas, the start of which led us to this same spot for lunch, touting it's sangria. It did not disappoint my hazy recollection.\n\nWe were quickly seated by the hostess, the restaurant/\""patio\"" on the waterfront being sparsely occupied on a Tuesday afternoon. Julio, our server - an elder but spirited gentleman - came over with menus, introduced himself, and immediately prompted us for drinks to start...\n\""A pitcher of sangria, please?\""\n\""Excellente. Four glasses?\n\""Yes, please. Thank you.\""\n\nWith drinks on their way and requisite chips & salsa on the table, lunch/sustenance was in order. Both Sarahs ordered the Tres Tacos plates while KarKar went with lighter fare, having a bowl of the Corn & Green Chile Soup. I ordered the smoked chicken quesadilla, thinking it would be like... um, one big quesadilla, but they (3) were [pleasantly] more akin to grill flattened/pressed tacos.\n\nThe Corn & Green Chile soup was flavorful! A bit of sweet from the corn, heat from the green chile, a hearty fullness of potato, and depth/salt from smoked bacon.\n\nThe taco combination platters and the smoked chicken quesadilla plate satisfying and freshly flavored. Each taco was dressed with toppings complimentary to their filling - shredded chicken salpicon, mushrooms with queso blanco/fresco, and [grilled] fish with a pineapple salsa. The three palm-sized smoked chicken quesadillas are heavy with chicken and cheese. Both platters come garnished with a sharp and tangy serano slaw, black beans, and fresh flavorful cilantro rice.\n\nBack to what brought us here... the Sangria.\n\nNow its hard to tell (especially in Vegas) just how good/effective a sangria can be. It's *meant* to creep, right? (JM, Cobes, and I went 2-3 carafes not realizing the fade!) But I must say, the sangria here is good. Not too tart, not too sweet. Retains the silken feel of red wine and the warm flush of brandy is subtle. It's a slow ride into troubled waters. What a perfect way to ease into the crazy. Gimme more!\n\nSafe to say, for casual dining, good people watching, and a creeper of a drink, I'd gladly add Canonita to the yearly tradition.\n_________________________________________________\nNo, really. I have a note to myself on my phone from last year...\n \""Must do Sangria again!\""\nI don't remember writing it.
Output: POSITIVE
Input: Consider Input: Last minute trip to lake Las Vegas and looking for something to eat... We were craving Italian tonight, so boyfriend and I decided on this place. \n We got seated pretty quick, and right off the bat you can see waiters running around like chickens with their heads cut off! It was pretty busy inside so maybe that's a good sign the food is great?\n As we got seated, it took about 5 minutes for someone to take our drink order, and when we did, our waiter only asked me what I wanted... My beau was not pleased but let it slide. When he came back, we wanted a beer and asked for a recommendation, and when we asked how it tasted, he said..\""it tastes like Italian beer\"". Wow, but of course!!! How stupid am I!!! So after we received our Italian beer, it took another 10 minutes to get complimentary bread... We were some what annoyed, but not too hurt since our check in included 20% off our meal!! (Thanks yelp!) so here is what we ordered:\n\n- fried gnocchi\n- lobster ravioli \n- pappardelle with shrimp and saffron sauce\n\n Fried gnocchi was not crispy as imagined, quite soggy actually, but the gnocchi itself was tasty... Or so I thought for the first 3 bites. There was a weird taste, almost like a smelly mildewy cheese taste. I thought there was cheese inside, but there wasn't... Only 4 pieces tasted like that. Grossed out!!!\n Lobster ravioli was descent, but the filling was a bit too fishy. The sauce and pasta were cooked perfectly though. \n The pappardelle pasta was perfectly cooked al dente, saffron sauce was amazing (wish there was more of it since it seemed more like a coating) and there was a good amount of shrimp, all which were a decent size and perfectly cooked.\nThe bread we received was nice and crusty, although it took about 15 minutes for the second order. \n\nIn general, this place was just ok. They have specialty pizzas so maybe they're more popular with that. The atmosphere seemed crazy rather than a romantic little restaurant in Italy. Everyone seemed rushed, no one seemed friendly, and it almost felt like if you took too long on ordering or asked for assistance, they put a curse upon you! Thank goodness for that discount, and pricing was reasonable ($65), but other than those reasons, I wouldn't return. That's too bad since my saffron pappardelle was delicious!!! Plus it's not worth the 45 minute drive. \n I hope this place realizes that there's no business if the customer doesn't feel warm and welcome. Hopefully some staff retraining will help. I hope so, because guests will flock if the food and service is top priority... Plus, they need it all the way in lake Las Vegas... Just saying!!!!!
Output: NEGATIVE
Input: Consider Input: I will make this short. I love sushi and this was the worst, most flavorless sushi I have ever had. I guess I have been spoiled by Hana's Japanese Eatery and the freshness and quality there. I did enjoy the cocktail which was called the Ahsosuki.
| Output: NEGATIVE
| 2 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
0.13915802538394928,
-0.17732389271259308,
-0.6918920874595642,
0.0043825414031744,
0.475796103477478,
-0.28804269433021545,
1.077366828918457,
1.1986351013183594,
0.13237878680229187,
0.07929757982492447,
1.1565630435943604,
-0.11265576630830765,
-0.14915969967842102,
0.04964778199791908,... |
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