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 tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
--------
Question: @Chawndi @YouTube can i ask im trying to pout a code on csgo roll i cant when i pout the code its red color.. help pls
Answer: Angry
Question: @RichardTBurnett The hatred from the Left ought to concern everyone----who wants a police state-the left, so than can spy on all of us.
Answer: Angry
Question: I want to give spiders emotions and self awareness. Picture if a spider could build resentment toward you. What if it KNEW you were afraid
Answer: | Not angry
| 7 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | fs_opt | [
-1.235737681388855,
-0.011545672081410885,
0.18786928057670593,
-0.3600276708602905,
-0.4719546437263489,
-0.5299838781356812,
0.343128502368927,
-0.0017592867370694876,
0.5606633424758911,
0.03672666847705841,
0.37916380167007446,
-0.007016993127763271,
-0.5274181365966797,
-0.47922885417... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
אני יודע שהזכרתם שלוח מקשים הוא באמת חלק מרכזי של זה. | Sé que mencionaste que el teclado es una parte esencial en esto. | 0 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.35110875964164734,
0.393599271774292,
-0.4489208161830902,
0.516983687877655,
-0.3971298635005951,
-0.3017321228981018,
0.7659093141555786,
0.5024389028549194,
1.0077378749847412,
-0.6460540294647217,
-0.2776939272880554,
0.24700574576854706,
-0.33995184302330017,
0.7351449728012085,
... |
TASK DEFINITION: You are provided with an "Event", "Intent" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.
PROBLEM: Event:PersonX pulls open the ___. Intent: 1) to watch something interesting
SOLUTION: happy
PROBLEM: Event:PersonX acts quickly. Intent: 1) to do something fast
SOLUTION: determined
PROBLEM: Event:PersonX burns within PersonY. Intent:
SOLUTION: | sorry
| 8 | NIv2 | task922_event2mind_word_generation | fs_opt | [
0.5755176544189453,
0.30316025018692017,
-0.1702641248703003,
-0.538259744644165,
-0.6638819575309753,
-0.24594034254550934,
1.1545218229293823,
0.32721859216690063,
-0.051599644124507904,
-0.4714432954788208,
0.09214675426483154,
-0.41370487213134766,
-0.9547051191329956,
0.13485237956047... |
You will be given a definition of a task first, then some input of the task.
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
Context: Uracil DNA glycosylase (UDG) plays a major role in repair of uracil formed due to deamination of cytosine. UDG in human cells is present in both the nucleus and mitochondrial compartments. Although, UDG's role in the nucleus is well established its role in mitochondria is less clear.", "In order to identify UDG's role in the mitochondria we expressed UGI (uracil glycosylase inhibitor) a natural inhibitor of UDG in the mitochondria. Our studies suggest that inhibition of UDG by UGI in the mitochondria does not lead to either spontaneous or induced mutations in mtDNA. Our studies also suggest that UGI expression has no affect on cellular growth or cytochrome c-oxidase activity.
Answer: These results suggest that human cell mitochondria contain alternatives glycosylase (s) that may function as back up DNA repair protein (s) that repair uracil in the mitochondria.
Output: | Is mitochondrial inhibition of uracil-DNA glycosylase mutagenic? | 1 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
-0.10826650261878967,
0.0045088063925504684,
0.050891801714897156,
-0.40196001529693604,
0.04922827333211899,
-0.5045028924942017,
0.3208068013191223,
0.47326093912124634,
0.20319639146327972,
-0.08943118155002594,
-0.6269792914390564,
-0.3196476101875305,
-0.45928525924682617,
0.394251346... |
Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting unimportant information (i.e. compression), and/or splitting a long complex sentence into several simpler ones. The final simplified sentences need to be grammatical, fluent, and retain the main ideas of their original counterparts without altering their meanings.
Example Input: Several versions of the protocol exist; versions 1 3 occurred only internally at MIT.
Example Output: There's many versions of the protocol; versions 1 3 have only occurred internally at MIT.
Example Input: During the early 1960s, Love first crossed paths with Jim Henson through Don Sahlin, who urged him to meet with Henson.
Example Output: Love first met Jim Henson in the early 1960s through Don Sahlin, who urged him to meet with Henson.
Example Input: Hilari Bell (born in 1958) is an American fantasy author.
Example Output: | Hilari Bell was born in 1958. She is an American fantasy author.
| 3 | NIv2 | task111_asset_sentence_simplification | fs_opt | [
-0.2916949391365051,
0.13861054182052612,
0.5699601173400879,
-0.14932450652122498,
0.12379969656467438,
-0.17546091973781586,
0.03225557133555412,
0.012983044609427452,
0.39016473293304443,
0.0703694075345993,
-0.7002153396606445,
0.4935550093650818,
-0.2776029706001282,
-0.09877315163612... |
Given the task definition and input, reply with output. In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Article: Britain is a popular tourist place. But tours of the country have pros and cons. Good news Free museums. No charge for outstanding collections of art and antiquities. Pop music. Britain is the only country to match the US on this score. Black cabs. London taxi drivers know where they are going even if there are never enough of them at weekends or night. Choice of food. Visitors can find everything from Ethiopian to Swedish restaurants. Bad news Poor service. "It's part of the image of the place. People can dine out on the rudeness they have experienced," says Professor Tony Seaton, of London University's International Tourism Research Center. Poor public transport: Trains and buses are promised to defeat the keenest tourists, although the over-crowded London tube is inexplicably popular Lack of languages. Speaking slowly and clearly may not get many foreign visitors very far, even in the tourist traps . Rain. Still in the number one complaint . No air-conditioning. So that even splendidly hot summers become as unbearable as the downpours. Overpriced hotels. The only European country with a higher rate of tax on hotel rooms is Denmark.
Question: What do tourists complain most?
Options: (A) Poor service. (B) Poor public transport. (C) Rain. (D) Overpriced hotels.
Asnwer: B
| No | 5 | NIv2 | task310_race_classification | zs_opt | [
0.6116089820861816,
0.4727952480316162,
0.021637804806232452,
-0.11218565702438354,
0.20038717985153198,
-0.48770320415496826,
0.48360395431518555,
0.7729527950286865,
-0.2447299361228943,
0.46733295917510986,
-0.23080824315547943,
0.520442008972168,
0.11693615466356277,
-0.516187727451324... |
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".
[EX Q]: Paragraph: Background: The detrimental role of viruses has been well described in CF, although the pattern of virus infections has not been investigated in a longitudinal study. The primary aim was to determine the feasibility of fortnightly parent collected swabs in young children with CF. Methods: Children under three years with CF were recruited. Nasal swabs were collected by parents every fortnight and during periods of symptoms over 12 months. Nasal swabs were posted and virus detected using real-time PCR. Results: Only 27% of the patients completed the study to 10 months, although 98% of the swabs returned were adequate for analysis. Mould was observed growing on 23% of the returned swabs. There was no evidence to demonstrate relationships with symptoms and viruses, prolonged symptoms, prolonged shedding or patterns of virus infections. Conclusions: This study highlights the need to further investigate the role of viruses in children with CF using a robust method of frequent collection in children for a longitudinal study, with appropriate storage and shipping techniques to avoid mould growth or other potential contaminants.
Title: Original Article
[EX A]: False
[EX Q]: Paragraph: Here we describe a novel endonuclease IV (Endo IV) based assay utilizing a substrate that mimics the abasic lesions that normally occur in doublestranded DNA. The three component substrate is characterized by single-stranded DNA target, an oligonucleotide probe, separated from a helper oligonucleotide by a one base gap. The oligonucleotide probe contains a non-fluorescent quencher at the 5 0 end and fluorophore attached to the 3 0 end through a special rigid linker. Fluorescence of the oligonucleotide probe is efficiently quenched by the interaction of terminal dye and quencher when not hybridized. Upon hybridization of the oligonucleotide probe and helper probe to their complementary target, the phosphodiester linkage between the rigid linker and the 3 0 end of the probe is efficiently cleaved, generating a fluorescent signal. In this study, the use of the Endo IV assay as a post-PCR amplification detection system is demonstrated. High sensitivity and specificity are illustrated using single nucleotide polymorphism detection.
Title: A novel endonuclease IV post-PCR genotyping system
[EX A]: True
[EX Q]: Paragraph: Aim. We presented the case of a child with central hypoventilation syndrome (CHS) to highlight issues that need to be considered in planning long-haul flight and problems that may arise during the flight. Case. The pediatric intensive care unit (PICU) received a child with central hypoventilation syndrome (Ondine's curse) on nocturnal ventilatory support who travelled to Hong Kong on a make-a-wish journey. He was diagnosed with central hypoventilation and had been well managed in Canada. During a long-haul aviation travel, he developed respiratory symptoms and desaturations. The child arrived in Hong Kong and his respiratory symptoms persisted. He was taken to a PICU for management. The child remained well and investigations revealed no pathogen to account for his respiratory infection. He went on with his make-a-wish journey. Conclusions. Various issues of travel medicine such as equipment, airline arrangement, in-flight ventilatory support, travel insurance, and respiratory infection are explored and discussed. This case illustrates that long-haul air travel is possible for children with respiratory compromise if anticipatory preparation is timely arranged.
Title: Case Report Central Hypoventilation: A Case Study of Issues Associated with Travel Medicine and Respiratory Infection
[EX A]: | True
| 6 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.14281465113162994,
0.3475818634033203,
-0.3938716948032379,
-0.06347385048866272,
0.159074604511261,
0.4424963593482971,
1.0432870388031006,
0.9264053106307983,
-0.6038028001785278,
0.42120206356048584,
-0.14362433552742004,
0.32117047905921936,
0.05564522743225098,
0.13604605197906494,
... |
Instructions: In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as 'a', 'b', 'c', or 'd'. If you think more than one option is plausible, choose the more probable option to help you answer the question.
Input: Question: Did Idaho run a budget surplus the year Walker won the Cowboy Capital of the World Rodeo? Passage:In 2013, Walker continued to compete, winning the Cowboy Capital of the World Rodeo in Stephenville, Texas, the Pasadena Livestock Show and Rodeo, in Pasadena, Texas, the Champions Challenge, in Kissimmee, Florida, the Walla Walla, Washington, the Frontier Days Rodeo, the Sanders County Fair & Rodeo in Plains, Montana, the Jerome County Fair & Rodeo in Idaho, the Montana’s Biggest Weekend in Dillon, Montana, the Ogden Pioneer Days Rodeo in Utah, the Eagle County Fair & Rodeo in Colorado, the Rocky Pro Rodeo in Rocky Mountain House, Alberta, the Pony Express Days Rodeo, in Eagle Mountain, Utah, the inaugural Champions Challenge in Redding, California, the San Angelo Stock Show and Rodeo in San Angelo, Texas, and the 75th Annual Brighton Field Day Festival & Rodeo in Okeechobee, Florida. Her money winnings qualified her again for the NFR, where she placed in 7 out of 10 rounds at the 2013 finals. She placed 6th in the average, and finished as the reserve world champion. She won $92,248. She was inducted into the National Cowgirl Museum and Hall of Fame this year.
Links: a. Idaho b. Utah c. Eagle Mountain, Utah d. Colorado
Output: | a | 3 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.39775264263153076,
0.47195738554000854,
-0.25203412771224976,
0.46934765577316284,
-0.2288670390844345,
0.10643002390861511,
-0.014508421532809734,
0.8726794719696045,
-0.5590507984161377,
0.4700796604156494,
0.17060187458992004,
0.36076390743255615,
-0.12615199387073517,
-0.105438709259... |
Instructions: You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Input: Statement: १) उनकेश्वराचा शिलालेख इ.स. १२८९ ला. आणि त्याहीपेक्षा मागे जातांना <MASK>चा शिलालेख इ.स. ९८३ ला. त्याही मागे अनेक मराठीचे उल्लेख, शिलालेख सापडतात अगदी इ.स. ६८० च्या ताम्रपटात 'पन्नास, आणि प्रिथवी' हे शब्द आहेत म्हणून ती मराठीची सुरुवात आहे असे मानणार अभ्यासक आहेत पण भाषातज्ज्ञांचे त्यावर एकमत होत नाही. त्याचबरोबर 'धर्मोपदेशमाला' (इ.स. ८५९) या ग्रंथात मराठी भाषेचा उल्लेख आहे. मराठी भाषा कशी आहे हे त्या दोन ओळीत सांगितले आहे.
Option A: पुणे
Option B: श्रवणबेळगोळ
Option C: धुळे
Option D: तंजावर
Output: | श्रवणबेळगोळ | 3 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
-0.1381894052028656,
1.2788848876953125,
0.024034373462200165,
0.14877599477767944,
-0.3086174726486206,
-0.8318084478378296,
0.3722020387649536,
0.37594208121299744,
0.4653526544570923,
-0.46479618549346924,
-0.06023009121417999,
0.2456640899181366,
-0.07611998915672302,
-0.32482320070266... |
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.
Example input: Sentence 1: No Weapons of Mass Destruction Found in Iraq Yet. Sentence 2:Weapons of Mass Destruction Found in Iraq.
Example output: 0
Example explanation: In our first statement we clearly say that Iraq does not have any weapon of mass destruction but the second sentence says that weapon of mass destruction is found in Iraq which is contradiction. Hence output will be 0 for non entailment.
Q: Sentence 1: Two young soldiers have killed themselves after falling ill with suspected Gulf War Syndrome, following the latest conflict in Iraq. Sentence 2: Many US soldiers developed Gulf War Syndrome after the Gulf War.
A: | 0 | 3 | NIv2 | task1344_glue_entailment_classification | fs_opt | [
-0.31055086851119995,
0.29201453924179077,
-0.1743529587984085,
-0.5618165731430054,
0.011337402276694775,
-0.3180243968963623,
0.3161562979221344,
0.8666725158691406,
0.5374013781547546,
-0.10838925093412399,
-0.5374637842178345,
-0.008060900494456291,
-0.42734116315841675,
0.054122604429... |
Instructions: In this task, you are given music product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: A Beautiful Job . The last great American operetta of the 1920s, this masterpiece by Sigmund Romberg and Oscar Hammerstein is given a loving performance by the cast of the 2004 New York City Center Encores production, including Christiane Noll, Rodney Gilfrey, Lauren Ward, Burke Moses, and Peter Benson. This is the only available recording of the complete score, including "Marianne," "The Girl On the Prow," "Softly, As In a Morning Sunrise," "Stouthearted Men," "One Kiss" and "Lover, Come Back to Me." What a treat!
Output: | POS | 3 | NIv2 | task478_cls_english_music_classification | zs_opt | [
-0.5638613104820251,
0.940420389175415,
-0.21973802149295807,
0.026790274307131767,
0.3584289252758026,
0.27028214931488037,
0.3867940902709961,
0.289524644613266,
0.5005941390991211,
0.7038034200668335,
-0.16624116897583008,
0.07657475024461746,
1.0238690376281738,
-0.9882670640945435,
... |
Given the task definition and input, reply with output. In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
inflammation is what kind of risk associated with shift work?, Context: Shift-work or chronic jet-lag have profound consequences on circadian and metabolic events in the body. Animals that are forced to eat during their resting period show increased body mass and altered expression of clock and metabolic genes.[medical citation needed] In humans, shift-work that favors irregular eating times is associated with altered insulin sensitivity and higher body mass. Shift-work also leads to increased metabolic risks for cardio-metabolic syndrome, hypertension, inflammation.
| metabolic | 5 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.15869075059890747,
0.22335679829120636,
-0.737920880317688,
0.26252132654190063,
-0.369642436504364,
0.25241774320602417,
-0.23177672922611237,
0.686739981174469,
-0.06430533528327942,
-0.7306833863258362,
-0.3824380338191986,
-0.47364604473114014,
-1.1399697065353394,
0.1444656848907470... |
Detailed Instructions: In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, like: [1,2,3].
Problem:[-13, -2, -82, -66, -62, 53, 20, -67, 17, -85, -52, 56, -14, -83, 55]
Solution: | [-7.5, -42.0, -74.0, -64.0, -4.5, 36.5, -23.5, -25.0, -34.0, -68.5, 2.0, 21.0, -48.5, -14.0] | 8 | NIv2 | task124_conala_pair_averages | zs_opt | [
-0.5384567975997925,
0.03453539311885834,
-0.6684713959693909,
-0.34864747524261475,
0.04890167713165283,
0.051256489008665085,
0.7259038686752319,
0.534069299697876,
0.1041414812207222,
-0.31584757566452026,
-0.5302221775054932,
-0.3197983205318451,
-0.20755062997341156,
0.326430529356002... |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
PROBLEM: קחו למשל מדינות כמו איווה ואוהיו — שתי מדינות מאד חשובות מבחינה פוליטית, אגב — קחו את שני המושלים האלה, והם יאמרו, "" אנו ננהיג את האומה בייצור טורבינות רוח ואנרגיית רוח. ""
SOLUTION: Consideren a estados como Iowa y Ohio, dos estados políticos muy importantes, por lo demás, esos dos gobernadores dirían vamos a liderar la nación en la producción de turbinas eólicas y energía eólica.
PROBLEM: עד אז, אפילו אם היו מוקפים בצבע מסוים, לא הייתה להם היכולת לזהות אותו.
SOLUTION: Hasta entonces, a pesar de que un color podía ser todo lo que les rodeaba, simplemente no tenían la capacidad de verlo.
PROBLEM: האם זו פשוט הדרך בה העולם עובד?
SOLUTION: | ¿Así son las cosas?
| 8 | NIv2 | task1236_ted_translation_he_es | fs_opt | [
-0.3298351764678955,
0.5973578691482544,
0.24760913848876953,
-0.48941943049430847,
-0.2937106788158417,
-0.19214597344398499,
0.4099422097206116,
1.2341119050979614,
-0.3131999671459198,
0.5572084784507751,
-0.556613028049469,
-0.27535292506217957,
-0.2672121524810791,
-0.196109801530838,... |
Teacher: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Teacher: Now, understand the problem? If you are still confused, see the following example:
私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Solution: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Reason: The Japanese sentence is correctly translated into Farsi, because the meaning is preserved.
Now, solve this instance: 彼はその時点で気づいていたに違いないだろうこれが自分にとって必要なだけではなく私にも不可欠なことだと
Student: | من فكر مى كنم كه او مطمئنا تا آن زمان ديگر مى دانست كه اين كار براى من حياتى است همانطور كه براى او هم ضرورى بود. | 2 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
0.9232726693153381,
0.971458911895752,
0.08792691677808762,
-0.23127558827400208,
-0.011923173442482948,
-0.4700453281402588,
0.8632031679153442,
0.39658230543136597,
0.13072526454925537,
-0.12573467195034027,
-0.6249885559082031,
-0.16876304149627686,
-1.3099730014801025,
-0.3168992400169... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
Q: turn opposite left after walk around left thrice
A: | I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT | 4 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.08884381502866745,
0.8250499963760376,
-0.31065118312835693,
0.039932116866111755,
0.051295943558216095,
0.00020245695486664772,
0.1661653369665146,
-0.21959784626960754,
-0.16654165089130402,
-0.30228275060653687,
-0.6511924266815186,
0.2141188681125641,
-0.45175737142562866,
-0.2274114... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
प्रधानमंत्री ने विभिन्न सामाजिक सुरक्षा योजनाओं के लाभार्थियों से वीडियो कॉन्फ्रेंसिंग के जरिए संवाद किया
Solution: വിവിധ സാമൂഹിക സുരക്ഷാ പദ്ധതികളുടെ ഗുണഭോക്താക്കളിൽ നിന്നുള്ള വീഡിയോ കോൺഫറൻസിംഗിലൂടെ പ്രധാനമന്ത്രി ആശയവിനിമയം നടത്തുന്നു
Why? Correct translation for given sentence. Input sentence means 'The Prime Minister communicated through video conferencing from the beneficiaries of various social security schemes' which is the same as the output sentence.
New input: अन्य 55 आईसीसीसी लागू होने के विभिन्न चरणों में है।
Solution: | ഇത്തരം 55 കേന്ദ്രങ്ങള് നിര്മ്മാണത്തിന്റെ വിവിധ ഘട്ടങ്ങളിലാണ്. | 0 | NIv2 | task1017_pib_translation_hindi_malayalam | fs_opt | [
-0.09187879413366318,
0.19920572638511658,
-0.08896484971046448,
-0.8050333261489868,
-0.13741835951805115,
0.4850030541419983,
0.9234006404876709,
0.4868019223213196,
-0.2613840699195862,
0.04779381304979324,
-0.36366117000579834,
0.048319585621356964,
-0.26901450753211975,
0.095646977424... |
instruction:
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" and "stern") which express contrasting attributes about the two persons. The answer to the first and the second sentence must be PersonX and PersonY, respectively. PersonX and PersonY should not be equally likely to fill the blank. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your sentences. Avoid repeating the same style or phrase in twin sentences e.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that PersonX and PersonY have the same gender. In each sentence, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
question:
Context Word: stroke.
answer:
Sentence 1: PersonX called the paramedics soon after PersonY had a stroke, because _ was very worried.
Sentence 2: PersonX called the paramedics soon after PersonY had a stroke, because _ was very sick.
question:
Context Word: torso.
answer:
Sentence 1: PersonX had a torso that was twice as wide as that of PersonY because _ was rather overweight.
Sentence 2: PersonX had a torso that was twice as wide as that of PersonY because _ was rather thin.
question:
Context Word: sake.
answer:
| Sentence 1: PersonX stopped smoking for the sake of PersonY, because _ wanted them to stop worrying.
Sentence 2: PersonX stopped smoking for the sake of PersonY, because _ wanted them to stop coughing.
| 9 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.35990411043167114,
0.2598363757133484,
0.007916569709777832,
-0.2653728723526001,
0.3628884553909302,
-0.5487229824066162,
0.8519315719604492,
1.0060040950775146,
0.11035393178462982,
-0.5465409755706787,
-0.5281729102134705,
0.008296390995383263,
-0.7080036997795105,
0.21085219085216522... |
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
[EX Q]: THEM: all balls to me, the rest to you YOU: sure.
[EX A]: Yes
[EX Q]: THEM: i would like the cowboy hats and books, please. YOU: i have to have book. you can have the rest. THEM: sounds good.
[EX A]: No
[EX Q]: THEM: can i get the book? YOU: you can have the book if i can have everything else THEM: nah, i want at least 1 ball. YOU: okay you can have the book and one ball and i will take the rest THEM: deal.
[EX A]: | Yes
| 6 | NIv2 | task1384_deal_or_no_dialog_classification | fs_opt | [
0.3098480701446533,
0.4865979552268982,
-0.34810659289360046,
0.5745642185211182,
-0.09550420194864273,
-0.5660115480422974,
0.7091678977012634,
-0.3034588694572449,
0.16498591005802155,
-0.8477973341941833,
-0.06431248784065247,
0.40269702672958374,
-0.5529420375823975,
0.0603262335062027... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the number of sentences in the correct order, such as '23415'.
Example: Sentence1: He is happy now. Sentence2: Rick grew up in a troubled household. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf. Sentence5: He never found good support in family, and turned to gangs.
Output: 25341
Rick grew up in a troubled environment and that made him a join gang. However, one incident of getting caught turned his life.
New input case for you: Sentence1: Tyler is worried he will miss the bus. Sentence2: Tyler wakes up and needs to shower before school. Sentence3: Finally it is Tyler's turn to shower. Sentence4: Tyler takes a quick shower and gets to the bus stop on time. Sentence5: His little brother is using the shower.
Output: | 31452 | 1 | NIv2 | task300_storycloze_order_generation | fs_opt | [
0.060578491538763046,
0.256354421377182,
-0.32122886180877686,
0.5385229587554932,
0.058923304080963135,
-0.48432549834251404,
-0.3664111793041229,
1.1170296669006348,
-0.19514910876750946,
0.40326082706451416,
-0.7696594595909119,
-0.26500028371810913,
-0.5715320110321045,
-0.295314729213... |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the number of sentences in the correct order, such as '23415'.
Q: Sentence1: Gina's family was visiting her grandma in Illinois. Sentence2: The family had already eaten most of the food. Sentence3: She went to the kitchen to have breakfast. Sentence4: It was the first day, and Gina was the last to wake up. Sentence5: Gina was sad and cried.
A: | 14325 | 4 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.11971627920866013,
0.4360095262527466,
0.010158691555261612,
-0.29545947909355164,
-0.4025770127773285,
-0.21369841694831848,
-0.003126304829493165,
0.8378599882125854,
-0.587860643863678,
0.27100783586502075,
-0.4951692223548889,
-0.6265007257461548,
-0.4875185489654541,
-0.16903024911... |
Definition: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Input: Context: Esophageal eosinophilia can be proton pump inhibitor (PPI) resistant or responsive, representing 2 entities known as eosinophilic esophagitis (EoE) and PPI-responsive esophageal eosinophilia (PPI-REE), respectively. Although they present with similar clinical features, EoE is accepted to be an antigen-driven, TH2-associated allergic disorder, whereas the cause of PPI-REE remains a mystery.', 'In this study, our aim was to investigate the pathogenesis of PPI-REE by using a recently described EoE diagnostic panel (EDP) composed of a set of 94 esophageal transcripts and to determine whether PPI therapy reverses any esophageal transcriptional abnormalities.', 'We evaluated the EDP signature in biopsy samples obtained from adult and pediatric patients with PPI-REE from 4 institutions and compared the pre- and post-PPI therapy expression profiles of these subjects with those of patients with active EoE.', 'The EDP differentiated patients with EoE from control subjects with 100% accuracy among the 4 clinical sites. Bioinformatics analysis revealed largely overlapping transcriptomes between patients with PPI-REE and those with EoE, including the genes for eosinophil chemotaxis (eotaxin 3, CCL26), barrier molecules (desmoglein 1, DSG1), tissue remodeling (periostin, POSTN), and mast cells (carboxypeptidase A, CPA3). PPI monotherapy alone almost completely reversed the allergic inflammatory transcriptome of patients with PPI-REE. Furthermore, we identified a set of candidate genes to differentiate patients with EoE from those with PPI-REE before treatment.\Question: Does transcriptome analysis of proton pump inhibitor-responsive esophageal eosinophilia reveal proton pump inhibitor-reversible allergic inflammation?
Output: | These findings provide definitive evidence that PPI-REE is a disease entity with significant molecular overlap with EoE, suggesting that many patients with PPI-REE represent a continuum of the same pathogenic allergic mechanisms that underlie EoE and thus might constitute a subphenotype of patients with EoE. The ability of PPI therapy to nearly entirely reverse gene expression associated with PPI-REE, particularly that associated with classic features of allergic inflammation, provides new insight into potential disease etiology and management strategies for patients with significant esophageal eosinophilia. | 2 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.6185096502304077,
0.25597015023231506,
-0.020459331572055817,
0.0015374720096588135,
0.40399250388145447,
-1.2658436298370361,
0.5309332609176636,
0.6947213411331177,
0.7007400393486023,
0.8698306679725647,
-0.8215836882591248,
0.7021318674087524,
-0.3770831823348999,
0.05559262260794639... |
Detailed Instructions: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: English: "One of the things that we've seen over the last several years is a bunch of talk using words like 'obliterate,'" Barack Obama said in a separate ABC interview.
Hindi: युगांडा के राष्ट्रपति योवेरी मुसेवेनी ने संसद में एक ऐसे विवादास्पद बिल से खुद की दूरी बना ली, जो समलैंगिकता के कुछ कृत्यों को मौत की सजा का प्रावधान बनाएगा।
A: | No | 9 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.32542112469673157,
0.12747779488563538,
0.7354151010513306,
0.32886019349098206,
0.4199753701686859,
-0.9431631565093994,
-0.03374820947647095,
0.29276394844055176,
-0.6923136115074158,
0.36019110679626465,
-0.22436882555484772,
0.2867904603481293,
-0.37349194288253784,
-0.1894184798002... |
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Context: New Orleans, Louisiana, 1927. An enraged posse of men descend on the isolated Seven Doors Hotel deep in the swamps. They grab an artist called Schweik (Antoine Saint John), who is cloistered there. Accusing him of being a warlock, Schweik is dragged down to the cellar where he is savagely beaten with heavy chains, tortured with quicklime acid, and crucified with his wrists nailed to a cellar wall, despite his dire warnings of evil to be unleashed.New Orleans, 1981. Liza Merril (Catriona MacColl) is a young woman who arrives from New York City to claim the hotel as her inheritance. No sooner has architect friend Marin Avery (Michele Mirabella) begins to show her around the property, strange incidents begin to happen. A painter (Anthony Flees) falls off his rig and is horribly injured, coughing up blood and babbling about, "the eyes, the eyes." Dr. John McCabe (David Warbeck) arrives to take the injured man to the hospital, and offers Liza some sympathy. Next, a plumber, named Joe, attempts to repair a major leak in the flooded cellar. However, he is murdered by a presence that emerged from behind a slim-caked wall. The atmosphere at the hotel is further chilled by the creepy-looking servants, Arthur (Giampaolo Saccarola) and Martha (Veronica Lazar), who apparently come with the hotel. Martha discovers Joe's dead body in the cellar, and another much older cadaver lying in a pool of dirty water nearby. It is apparently that of Schweik, the artist.Driving down the 14-mile causeway to New Orleans, Liza encounters a strange blind woman, standing in the middle of the desolate highway. The blind woman introduces herself as Emily (Sarah Keller), and tells Liza that she has been waiting for her, although her eyes are occluded with cataracts. Liza drives Emily over to her opulently furnished house in New Orleans. Liza is warned by Emily to leave the hotel while she still can. Meanwhile at the hospital morgue, Dr. John McCabe is performing the autopsy on Joe the plumber while his assistant Harris (Al Cliver) wants to install an EMG machine to the corpse of Schweik. John laughs it off and leaves for lunch, while Harris remains behind to install the EMG machine. After Harris leaves for a call, the EMG machine begins pulsing with activity. A little later, Joe's wife Mary-Anne (Laura De Marchi) arrives with her daughter Jill (Maria Pia Marsale) to dress up her husband's corpse for the funeral, when she is killed in a horrific way by scalded with acid. Jill is then menaced by the re-animated cadaver of Schweik.Liza meets with John McCabe in a downtown bar to discuss her misgivings and anxieties. He expresses puzzlement when Lisa complains about he ineptitude of her weird servants. John claims to have never heard of them before despite knowing everyone in the area. Then a phone call from the bar arrives from Harris who informs John that Mary-Anne's body was found in the morgue, while Jill was found huddled in a corner frightened and unable to speak. After Joe and Mary-Anne's funeral, Emily appears again to Liza that evening at the hotel. Emily tells Liza about the warlock Schweik, who stayed in Room 36 of the hotel and about the supernatural underworld that the hotel conceals. The hotel was built over one of the Seven Gates of Hell, and Schweik has been the Guardian. Emily is about to reveal more when her hands wander over to a canvas depicting a desolate vision of lost souls in a terrible and arid landscape. Suddenly afraid, Emily says that the painting was painted by Schweik before he died, and she runs out of the hotel parlor into the night. But Liza notices a disquieting fact about her sudden departure: Emily made no footfalls on the bare wooden boards as she ran, and neither did her seeing-eye dog.The next day, Liza ventures nervously into Room 36, a dingy phantasmal of sheet-covered furniture and shafts of dusty light. She finds an ancient book, whose weirdly flesh-like cover bears the single word
Question: Whose corpse does Liza see? | jill. | 0 | NIv2 | task469_mrqa_answer_generation | zs_opt | [
0.6059157848358154,
0.738653838634491,
-0.47876062989234924,
-0.36163902282714844,
0.8061493635177612,
-0.23470991849899292,
0.5875665545463562,
0.9092122316360474,
-0.2048744261264801,
0.03634946048259735,
0.3489418923854828,
0.24849657714366913,
-0.6608189344406128,
0.17954692244529724,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Così i batteri sono capaci di contare quanti 'me' e quanti 'altri' ci sono.
As bacterias son capaces de contar cantos "" eu "" e cantos "" ti "" hai.
Dissi: "" Nick, ciò è molto interessante.
Eu dixen: "" Nick, está moi ben,
Quella che vedete è un bozzetto artistico di questo impianto che è costruito all'interno di una montagna delle isole Svalbard.
| O que ven é o esbozo que un artista fixo delas, construídas nunha montaña en Svalbard.
| 0 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
0.020371761173009872,
0.7876108884811401,
-0.5494007468223572,
0.39664900302886963,
-0.16206181049346924,
-1.1813722848892212,
-0.1474957913160324,
0.6682592630386353,
-0.47019827365875244,
0.5593625903129578,
-0.35317572951316833,
0.34672585129737854,
-0.7922011613845825,
0.32541638612747... |
Detailed Instructions: 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)].
Q: ['so', 'we', 'have', 'an', 'example', 'exercise', 'from', 'our', 'Khan', 'Academy', 'exercises', 'this', 'is', 'the', 'decomposed', 'fractions', 'with', 'denominators', 'of', '100', 'so', 'use', 'a', 'following', 'number', 'line', 'to', 'complete', 'the', 'equation', 'the', 'equation', 'says', '26', 'hundredths', 'is', 'equal', 'to', 'star', 'tenths', 'plus', '6', 'hundredths', 'and', 'they', 'give', 'us', 'this', 'number', 'line', 'and', 'on', 'this', 'number', 'line', "let's", 'see', 'this', 'is', '0', 'right', 'over', 'here', '0', 'tenths', 'which', 'is', 'the', 'same', 'thing', 'as', '0', 'and', 'it', 'goes', 'all', 'the', 'way', 'to', '26', 'hundredths', "let's", 'see', 'if', 'that', 'makes', 'sense', 'well', 'you', 'see', 'between', 'zero', 'tenths', 'and', '1/10', 'they', 'split', 'into', '10', 'equal']
A: | ['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', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', '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', 'PUNCUATION_DIFF', 'CASE_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_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_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF'] | 9 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.33778220415115356,
0.17929479479789734,
-0.21603408455848694,
-0.3827905058860779,
0.3549483120441437,
-0.5018093585968018,
0.4679984748363495,
0.9106647372245789,
-0.4410185217857361,
0.05200674384832382,
-0.2904472053050995,
-0.08412392437458038,
-0.5814745426177979,
-0.084396183490753... |
Given the task definition and input, reply with output. In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
[37, 103, 184, 138]
| [37, 103] | 5 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.5306630730628967,
0.8462421894073486,
-0.02521020546555519,
-0.7578405141830444,
0.16296689212322235,
-0.5350971221923828,
0.844447910785675,
0.11098478734493256,
-0.4676477313041687,
0.3763491213321686,
-0.7751843929290771,
0.348691463470459,
-0.28945183753967285,
-0.2930876612663269,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Q: این دائره المعارف تنها یکی از بی نهایت اصطلاحات عاشقانه عربی است ، که بیشتر آن توسط علمای دینی نوشته شده.
A: | L'Enciclopedia è solo uno dei tanti testi della letteratura erotica araba, la maggior parte scritta da studenti religiosi. | 4 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-1.3131589889526367,
0.6291464567184448,
0.11803356558084488,
0.020114704966545105,
-0.8800273537635803,
-0.09821449965238571,
0.3679506480693817,
-0.3981919288635254,
0.35629433393478394,
-0.8771492838859558,
-0.8884084224700928,
0.2775508463382721,
-0.020705554634332657,
0.18981838226318... |
instruction:
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" and "stern") which express contrasting attributes about the two persons. The answer to the first and the second sentence must be PersonX and PersonY, respectively. PersonX and PersonY should not be equally likely to fill the blank. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your sentences. Avoid repeating the same style or phrase in twin sentences e.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that PersonX and PersonY have the same gender. In each sentence, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
question:
Context Word: hot tub.
answer:
Sentence 1: PersonX hated the idea of soaking in the hot tub with PersonY even though _ had gone along with the idea of a soak.
Sentence 2: PersonX hated the idea of soaking in the hot tub with PersonY even though _ had been excited with the idea of a soak.
question:
Context Word: artificial.
answer:
Sentence 1: PersonX eventually had to have an artificial hip put in, unlike PersonY, because _ had bad joints.
Sentence 2: PersonX eventually had to have an artificial hip put in, unlike PersonY, because _ had good joints.
question:
Context Word: breakfast.
answer:
| Sentence 1: PersonX always ate bacon and eggs for breakfast unlike PersonY because _ always woke up early.
Sentence 2: PersonX always ate bacon and eggs for breakfast unlike PersonY because _ always woke up late.
| 9 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.5131053328514099,
0.4515729546546936,
-0.18878376483917236,
0.004065215587615967,
0.15721021592617035,
-0.8324678540229797,
0.7518548965454102,
0.8715999126434326,
-0.06309884041547775,
-0.45979154109954834,
-0.36384057998657227,
-0.0991167351603508,
-0.7503219246864319,
-0.0317007899284... |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
--------
Question: Gujarati: ડેસ્ક પરના ત્રણ કમ્પ્યુટર સ્ક્રીનો સમુદ્રના વિશાળ દૃશ્ય દર્શાવે છે.
English: Three computer screens at a desk show a panoramic view of the ocean.
Answer: Yes
Question: Gujarati: ઘેટાં એક પ્લેટફોર્મ પર તેમની પાછળ એક કૂતરો સાથે ઉભા છે.
English: Baby giraffe bending down to drink water from a pond.
Answer: No
Question: Gujarati: એક બાસ્કેટમાં એક કૂતરો સાથે શેરી નીચે સવારી મોટરસાયક્લીસ્ટે
English: A motorcyclist riding down the street with a dog in a basket.
Answer: | Yes
| 7 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt | [
-1.228078007698059,
-0.17605656385421753,
-0.20087653398513794,
-0.26883578300476074,
0.11713053286075592,
-0.6389432549476624,
0.23415473103523254,
0.35091614723205566,
0.0536770299077034,
-0.2704339623451233,
0.4911274015903473,
0.4159470796585083,
-0.25780919194221497,
0.393462836742401... |
Instructions: In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "False" if the explanation disproves the statement. The statement and explanation are separated by a newline character.
Input: McDonald's does not sell Whoppers.
The Whopper is a sandwich sold exclusively at Burger King.
Output: | True | 3 | NIv2 | task403_creak_commonsense_inference | zs_opt | [
-0.7410648465156555,
0.08799002319574356,
0.0610228031873703,
-0.012478683143854141,
-1.0277618169784546,
-0.2518700361251831,
0.6176584362983704,
0.5068767070770264,
0.20286765694618225,
-0.6664921045303345,
-0.2307872176170349,
-0.5025920867919922,
-0.04983094707131386,
-0.14784911274909... |
Q: In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
Question: Phosphofructokinase-1:
Options: <1> Participates in glycolysis and gluconeogenesis. <2> It catalyzes an easily reversible reaction. <3> It is an enzyme with allosteric regulation. <4> Directly transfers a Pi to fructose6P. <5> Produce ATP.
A: | 3 | 7 | NIv2 | task1431_head_qa_answer_generation | zs_opt | [
-0.004936796613037586,
0.13637372851371765,
0.15038233995437622,
-0.2875806987285614,
0.0897211953997612,
-0.4351140558719635,
0.8357434272766113,
0.804168701171875,
0.21548955142498016,
0.3381647765636444,
-0.9490086436271667,
-0.40081605315208435,
-0.10334926098585129,
-0.409633427858352... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statement, as indicated by the label. If sentence X agrees with sentence Y, the can be concluded from one another. If sentence X disagrees with sentence Y, they can not be correct at the same time. The sentence must also belong to the genre specified.
One example: Statement: Next to the MGM Grand you will find M and M World.
Label: neutral.
Genre: travel.
Solution is here: The candy has many fans who love its attractions.
Explanation: When the given label is neutral, it means that you should write a sentence that neither agrees with the statement, nor disagrees with it. We don't know if the candy has many fans, hence the sentence is neutral. The places are specifically pointed out and referred to as attractions, so the given sentence is in the same genre.
Now, solve this: Statement: (Many suspect that the bombings were staged to marshal support for war.)
Label: entailment.
Genre: slate.
Solution: | Many people think the bombings were caused by the government. | 6 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.4383666217327118,
0.04253304749727249,
0.2698081135749817,
0.15228992700576782,
0.3886963725090027,
-0.9394789934158325,
-0.6056604385375977,
0.5585660934448242,
0.26948729157447815,
-0.2945014536380768,
0.04761815071105957,
-0.4520483911037445,
-0.20852753520011902,
-0.0966822504997253... |
A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: نئی دہلی،27مارچ۔ وزیراعظم جناب نریندر مودی کی صدارت میں مرکزی کابینہ نے سیاحت کےشعبے میں ہندوستان اور کروشیا کے درمیان مفاہمت نامے کو سابقہ تاریخ سےاپنی منظوری دی ہے۔
A: The Union Cabinet, chaired by the Prime Minister Shri Narendra Modi, has given its ex-post facto approval on the Memorandum of Understanding (MoU) between India and Croatia in the field of tourism.
****
Q: ہندوستان کو جینرک دواؤں کا بین الاقوامی مرکز بنائیں: نائب صدر جمہوریہ ہندوستان طبی نظاموں کو بڑھاوا دیں؛ ہندوستانی طبی نظاموں کو معیاری بنانے کے لئے کام کریں: نائب صدرجمہوریہ،70ویں ہندوستانی فارماسیوٹکل کانگریس کو خطاب کیا، تمام اہم دواساز کمپنیوں کے سی ای او سے بات چیت کی
A: The Vice President of India, Shri M. Venkaiah Naidu has called up on the pharmaceutical industry to work towards making India an International Capital of Generic Medicines.
****
Q: ہم نے اس میں سے 20 گیگاواٹ نصب شدہ شمسی توانائی کا ہدف پہلے سے ہی حاصل کر لیا ہے۔ ہندوستان میں تونائی کا اضافہ اب روایتی توانائی کے ذرائع کے بجائے تجدیدکاری سے زیادہ ہو رہی ہے۔
A: | We have already achieved the target of 20 gigawatts ofinstalled solar power capacity. In India, more capacity is being added through renewable sources than through the traditional sources of energy.
****
| 4 | NIv2 | task1058_pib_translation_urdu_english | fs_opt | [
0.2765042185783386,
0.30775952339172363,
-0.28263530135154724,
-0.5869324207305908,
-0.27006858587265015,
-0.5125309228897095,
-0.05791613459587097,
0.5757973790168762,
-0.12460879981517792,
0.22801223397254944,
0.5055563449859619,
0.06627088040113449,
0.04741282761096954,
0.30799800157546... |
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
Ex Input:
आज डॉक्टर के पास medical epertise तो होती ही है,साथ ही उनके पास general lie style trends के बारे में, उसका हमारे स्वास्थ्य पर क्या प्रभाव पड़ता है, इन सबके बारे में गहरा अनुभव होता है।
Ex Output:
' (അവര് ചികിത്സിക്കുക മാറ്റുക മാത്രമല്ല, സൗഖ്യമേകുകയും ചെയ്യുു) ഇ് ഡോക്ടറുടെ അടുത്ത് ചികിത്സാവൈശിഷ്ട്യമുണ്ട്, അതോടൊപ്പം അവരുടെ പക്കല് പൊതുവായ ജീവിതരീതിയെക്കുറിച്ച്, അത് നമ്മുടെ ജീവിതത്തെ എങ്ങനെ സ്വാധീനിക്കുു എതിനെക്കുറിച്ച് വലിയ അനുഭവ സമ്പത്തുമുണ്ട്.
Ex Input:
प्रधानमंत्री ने कहा कि कारोबारी सुगमता के क्षेत्र में भारत की प्रगति से छोटे कारोबारियों और उद्यमियों के लिए अधिकाधिक सुविधा का पता चलना चाहिए।
Ex Output:
ബിസിനസ് സുഗമമാക്കുന്നതിലുള്ള ഇന്ത്യയുടെ പുരോഗതി ചെറുകിട ബിസിനസുകള്ക്കും സംരംഭങ്ങള്ക്കും കൂടുതല് സൗകര്യം ഒരുക്കുന്നതില് പ്രതിഫലിക്കണമെന്നു പ്രധാനമന്ത്രി പറഞ്ഞു.
Ex Input:
प्रधानमंत्री ने कहा कि भारत नवाचारों को बढ़ावा देने के लिये अंतरराष्ट्रीय भागीदारी भी कायम कर रहा है।
Ex Output:
| നൂതനരീതികളെ പ്രോത്സാഹിപ്പിക്കുന്നതിനായി ഇന്ത്യ അന്താരാഷ്ട്ര പങ്കാളിത്തം വളര്ത്തിയെടുക്കുന്നതായും പ്രധാനമന്ത്രി പറഞ്ഞു.
| 1 | NIv2 | task1017_pib_translation_hindi_malayalam | fs_opt | [
-0.9342818260192871,
-0.6218887567520142,
-0.007829684764146805,
-0.3021750748157501,
-0.023402240127325058,
-0.2850932478904724,
-0.12819135189056396,
0.9966650009155273,
0.2942587733268738,
-0.14348538219928741,
-1.0818568468093872,
0.6549218893051147,
0.007156043313443661,
-0.4041770994... |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Martyn Day, co-founder of Leigh Day law firm, allegedly knew there were concerns that Khuder Al-Sweady was a member of the Shia militia Mahdi Army. The hearing was told Mr Day had been sent emails alleging Al-Sweady was threatening other claimants. Leigh Day and solicitors Martyn Day and Sapna Malik deny 19 misconduct charges. Fellow solicitor Anna Crowther also denies one allegation of misconduct at the Solicitors Disciplinary Tribunal in London. 'Threats to kill' Leigh Day pursued damages claims against the Ministry of Defence over the alleged mistreatment and unlawful killing of captives at an Iraqi military base in May 2004. Among them was an allegation by Khuder Al-Sweady that his nephew, Hamid Al-Sweady, was unlawfully killed while in the custody of British troops at Camp Abu Naji. The claims led to the Al-Sweady public inquiry being set up in 2009 to investigate allegations UK soldiers mistreated Iraqi captives. Timothy Dutton, acting for the Solicitors Regulation Authority (SRA), told the hearing that Leigh Day pursued the claims when it was "improper" to do so. He said the firm had received an email from a "trusted intermediary", Mazin Younis, warning that Al-Sweady "was a member of the Mahdi Army and was intimidating and blackmailing the detainees" in April 2008. Mr Dutton said: "The email should have caused [Leigh Day] serious concern." What was the Al-Sweady inquiry? The tribunal heard that Mr Younis also emailed his concerns to solicitor Phil Shiner, who was struck off in February for dishonesty over his handling of the abuse claims. In this email, he said Al-Sweady had threatened to kill a local fixer. Mr Dutton said: "You cannot simply allow such a matter to sit on the file unresolved." Mr Dutton said the claims against Al-Sweady were not investigated as Mr Day "felt it would be difficult, if not impossible, to run the claims without Khuder Al-Sweady." In January 2012, Ms Crowther became aware of further violent threats but Mr Dutton said: "That leads to all correspondence being channelled through Khuder Al-Sweady, the man who was making the threats. "It is, I regret to say, symptomatic of the need to keep him sweet as the lead client." The SDT panel was also told about an allegation that Ms Crowther destroyed an original piece of "significant" evidence - a 2004 English translation of a list of detainees linked to the radical Shia group Office of the Martyr Al Sadr (OMS). The tribunal heard she had typed up the the handwritten English translation and then destroyed the original by discarding it in confidential waste. Mr Dutton said he wanted to make it clear he was not suggesting Ms Crowther had acted with "dishonesty". However, he went on to say it was not a "minor mistake but a "careless error". The Al-Sweady inquiry concluded in its final report that the conduct of some soldiers towards detainees breached the Geneva Convention. But it was highly critical of the claims it was initially set up to investigate - that Iraqi detainees had been murdered, mutilated and tortured following the Battle of Danny Boy. The tribunal, which is scheduled to last seven weeks, is expected to be the longest and most expensive in the Solicitors Disciplinary Tribunal's history. | Iraq abuse case lawyer 'needed to keep claimant sweet' | 0 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
-0.12434139102697372,
0.614978015422821,
-0.43307822942733765,
-0.5059977173805237,
0.3215797543525696,
-0.037403177469968796,
0.9593420624732971,
0.6075948476791382,
0.4161931276321411,
0.509466290473938,
0.015438728965818882,
0.976698637008667,
-1.2002463340759277,
0.21230269968509674,
... |
Instructions: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Input: alton towers
Output: | In which county is Alton Towers? | 3 | NIv2 | task897_freebase_qa_topic_question_generation | zs_opt | [
0.15706618130207062,
1.1776387691497803,
-0.7922083735466003,
0.6370673179626465,
-0.13930204510688782,
-0.28473782539367676,
0.3214687705039978,
0.37472665309906006,
0.2844012379646301,
-0.4158695340156555,
-0.40618982911109924,
-0.4362618029117584,
-1.1201461553573608,
-0.000900971237570... |
Definition: The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
Input: this is what happens when you do not put the toilet seat down for your immigrant roommate d
Output: | Normal | 2 | NIv2 | task1502_hatexplain_classification | zs_opt | [
-0.21075858175754547,
0.7809747457504272,
-0.11919854581356049,
0.7148862481117249,
-0.06506513804197311,
-0.9990947246551514,
-0.17587679624557495,
0.6173118352890015,
0.8890510201454163,
0.2689933776855469,
-0.08806954324245453,
0.046960972249507904,
-0.2345503270626068,
-0.7728883624076... |
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.
Example input: Sentence1: pesticides cause pollution.
Sentence2: pollution can harm animals.
Example output: pollution.
Example explanation: The word "pollution" is common to Sentence1 and Sentence2. So, it's a good answer.
Q: Sentence1: the sun causes water to evaporate more quickly by adding heat.
Sentence2: During the summer the sun gets much higher and provides more direct, concentrated heating.
A: | heat | 3 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
-0.4289894998073578,
1.0024356842041016,
0.011803261935710907,
-0.44142425060272217,
-0.2312975376844406,
-1.1357061862945557,
0.3700278699398041,
0.6110883951187134,
-0.14481373131275177,
-0.37960952520370483,
-0.872699499130249,
-0.3775809109210968,
-0.8657602667808533,
0.067047305405139... |
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
[Q]: Most artists care to be well known for their work .
[A]: Most artists want to be well written for their album .
[Q]: You are likely to find a character in a play in the evening .
[A]: You are likely to find a character in a play in the workshop .
[Q]: You can touch an apple to burst a brick .
[A]: | You can change an apple to bait a pond .
| 5 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
0.20141269266605377,
1.1394344568252563,
0.1360275000333786,
-0.005066947545856237,
0.01838976889848709,
-0.5589809417724609,
0.13341018557548523,
0.2729869782924652,
0.10424342751502991,
-0.26810428500175476,
-0.0036347047425806522,
0.013367746025323868,
-0.5804265737533569,
-0.1013828366... |
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.
[[-38, -48, -66, 63, -70, 28, 31], [66, 79, 67, -88], [86, -62, 53, 99], [-22, -29, -29, 50, -85, 10, -42, 20], [-39, -99, -53], [-61, -9, 66, 57, 78, 12, 84, 93], [-60, 92, 16, -74, 82, -72, -65, -93, 20]] | [-68, -76, 54, 107, 5, -22, 8, 20, 20] | 0 | NIv2 | task122_conala_list_index_addition | zs_opt | [
0.19439765810966492,
-0.36615315079689026,
-0.713066577911377,
-0.23401020467281342,
0.06986074894666672,
-0.23461130261421204,
0.9343619346618652,
0.6178332567214966,
-0.45703136920928955,
-0.2928760051727295,
-0.8985421657562256,
0.07807785272598267,
-0.2058679610490799,
-0.2367265522480... |
Q: In this task your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer will be a continuous span of text from the given passage. The correct answer will be short; it will not be more than a few words.
Passage: Sobre l'origen de la construcció de les naus laterals, amb els seus absis, i de la central, hi ha tres teories. Segons una, que ja ningú no defensa, la catedral així com la coneixem actualment obeeix a un pla inicial. Una altra teoria, que es basa en indicis constructius, afirma que la seu originalment havia de tenir sols una nau de l'amplada de la capella Reial i que aquesta, doncs, havia de continuar fins al campanar amb la mateixa alçada i estructura que aquesta, segurament amb capelles laterals no sabem de quina forma, i que a mitjan segle xiv es va decidir passar a un pla de tres naus,[9] en un cas contrari al de la catedral de Sant Joan Baptista de Perpinyà i al de la seu de Girona. La darrera teoria, també per indicis constructius, parteix del canvi a un pla de tres naus de devers 1330, però totes molt més baixes que les actuals, a l'estil de la seu de Barcelona i amb poca diferència entre la major i les laterals, com a la seu esmentada i a Santa Maria del Mar, i que a mitjan segle XIV es decidí elevar totes les naus i fer la central encara més alta (Marcel Durliat). Es tractava d'un canvi de pla relacionat amb la reincorporació del Regne de Mallorca a la Corona d'Aragó (1343), com també l'aturada de les obres de Sant Joan el Nou de Perpinyà que tingué com a conseqüència el canvi de pla.
Question: Què va canviar el pla de construcció de la catedral segons la tercera teoria?
A: | la reincorporació del Regne de Mallorca a la Corona d'Aragó | 7 | NIv2 | task837_viquiquad_answer_generation | zs_opt | [
0.7192749977111816,
0.3287350535392761,
-0.5681736469268799,
0.1299821436405182,
0.5371404886245728,
-0.2875056862831116,
0.8217071294784546,
0.8171430230140686,
-0.09496466815471649,
0.19013449549674988,
-0.29624801874160767,
0.9669199585914612,
-0.9716857671737671,
0.14196349680423737,
... |
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?). ",
[EX Q]: Sentence: New variants of infectious bronchitis virus ( IBV ) have emerged in Australia despite its geographical isolation and intensive vaccination programs.
Section: background
[EX A]: True
[EX Q]: Sentence: It is activated by long stretches of dsRNA and provides the first line of host defense against pathogens by inhibiting translation initiation in the infected cell.
Section: background
[EX A]: True
[EX Q]: Sentence: However , nasopharyngeal/oropharyngeal ( np/op ) swabs may not accurately reflect etiologic agents from the lower respiratory tract where sputum specimens are considered as a more representative sample.
Section: method
[EX A]: | False
| 6 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
0.2913283407688141,
0.3209804892539978,
-0.10684237629175186,
0.02201511710882187,
0.4123618006706238,
0.09452798962593079,
0.2866106629371643,
1.1754884719848633,
-0.15701255202293396,
0.13467417657375336,
-0.8422033786773682,
0.49359771609306335,
-0.25887882709503174,
-0.3030374050140381... |
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Let me give you an example: Sentence1: 'a red bus goes down the street beside a yellow building', Sentence2: 'the colorfully decorated living room has a retro style chair in it'. Is the frequency of the word 'beside' in two sentences equal?
The answer to this example can be: No
Here is why: Frequency of the word 'beside' in Sentence1 is 1 but 0 in Sentence2. So, the answer is 'No'
OK. solve this:
Sentence1: 'a green and yellow train traveling down a train track', Sentence2: 'a number of plates of food on a table'. Is the frequency of the word 'of' in two sentences equal?
Answer: | No | 8 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.8404472470283508,
0.43250858783721924,
-0.24960026144981384,
-0.08701955527067184,
0.07096438109874725,
-0.37155547738075256,
0.6226670742034912,
0.8955174684524536,
0.21196767687797546,
-0.14847366511821747,
-0.4452548921108246,
-0.3897349536418915,
0.5584614276885986,
0.50461959838867... |
Teacher: In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
Teacher: Now, understand the problem? If you are still confused, see the following example:
فتوسنتز فرایندی زیستشیمیایی است که در آن، انرژی نورانی خورشید توسط گیاهان و برخی از باکتریها به انرژی شیمیایی ذخیرهشده در مواد غذایی آنها تبدیل میشود. کمابیش همهٔ جانداران روی زمین به آن وابستهاند. در عمل فتوسنتز، اندامهایی مانند برگ که دارای سبزینه هستند، کربن دیاکسید، آب و نور را جذب کرده و به کلروپلاست میرسانند. طی واکنشهایی که درون کلروپلاست انجام میگیرد، این مواد به اکسیژن و کربوهیدراتها تبدیل میشوند. همه اکسیژن کنونی موجود بر روی زمین، فراوردهٔ فتوسنتز است. برخی از کربوهیدراتهای مهم تولیدشده مانند گلوکز، میتوانند به دیگر مواد آلی، لیپیدها، نشاسته، سلولز و پروتئین تبدیل شوند که برای تبدیلشدن به پروتئین، نیاز به نیتروژن دارند. ژان باپتیست ون هلمونت، یکی از نخستین آزمایشهای مربوط به فتوسنتز را انجام داد. همه بخشهای سبزرنگ گیاه، قادر به انجام عمل فتوسنتز هستند. مادهٔ سبز موجود در گیاهان که سبزینه یا کلروفیل نام دارد، آغازکنندهٔ واکنشهای فتوسنتز است. فتوسنتز در اندامهایی که فاقد سبزینه هستند، انجام نمیگیرد.
Question: فتوسنتز چه نوع فرایندیه؟
Solution: True
Reason: This is a good example. The question is answerable based on the passage.
Now, solve this instance: آموزش فرایند تسهیل یادگیری، یا کسب دانش، مهارت، ارزش، اخلاق، اعتقادات و عادتها است. روشهای آموزش شامل تدریس، آموزش عملی، داستان گویی، بحث و پژوهش هدایت شدهاست. آموزش غالباً تحت راهنمایی مربیان انجام میشود، اما فراگیران میتوانند خود را نیز آموزش دهند. آموزش میتواند در شرایط رسمی یا غیررسمی انجام شود و هر تجربه ای که تأثیر شکل دهی بر نحوه تفکر، احساس یا عمل فرد داشته باشد، میتواند نوعی آموزش تلقی شود. متودولوژی تدریس را تعلیم و تربیت مینامند. آموزش رسمی بهطور کلی بهطور رسمی به مراحل زیر تقسیم میشود: پیش دبستانی یا مهد کودک، دبستان، دبیرستان و سپس کالج، دانشگاه یا کارآموزی. از آنجا که آموزش به کودکان این قابلیت را میدهد که به صورت مستقل به سوی اهداف مورد نظرشان حرکت کنند و هویت ویژهای در جامعه بیابند، اهمیتی غیرقابل چشمپوشی برای فلاسفه دارد. فلسفه آموزش به بررسی ماهیت و اهداف آموزش و ابزارهای آن میپردازد و در ارتباط با «نظریه آموزش» است. نظریه آموزش نوعی نظریه عملی بوده که سعی در فراهم آوردن رهنمود و روشن کردن تمامی جنبههای گوناگون آموزش و همچنین ساختار اجتماعی وابسته با آن است.
Question: تعلیم و تربیت به چه معناست؟
Student: | True | 2 | NIv2 | task396_persianqa_classification | fs_opt | [
0.4374549686908722,
-0.005398174747824669,
-0.4421018362045288,
-0.14581452310085297,
-0.014099739491939545,
-0.6355169415473938,
0.49164849519729614,
1.1210469007492065,
-0.35580024123191833,
0.08567152917385101,
-0.42232510447502136,
0.038999468088150024,
-0.3170182704925537,
0.274899065... |
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.
Let me give you an example: Sentence 1: No Weapons of Mass Destruction Found in Iraq Yet. Sentence 2:Weapons of Mass Destruction Found in Iraq.
The answer to this example can be: 0
Here is why: In our first statement we clearly say that Iraq does not have any weapon of mass destruction but the second sentence says that weapon of mass destruction is found in Iraq which is contradiction. Hence output will be 0 for non entailment.
OK. solve this:
Sentence 1: Heavy violence, drought, and soaring food prices mean that half of the population of the African country of Somalia is in immediate need of food aid in order to prevent a famine, according to a new study. Every sixth child under the age of five is acutely malnourished, and three and a quarter million people are in need of immediate aid, a number 77% higher than last year, according to the Food Security Analysis Unit (FSAU), which is based in Nairobi, Kenya. Sentence 2: Kenya is in need of food.
Answer: | 0 | 8 | NIv2 | task1344_glue_entailment_classification | fs_opt | [
-0.07197493314743042,
0.8729630708694458,
-0.16457325220108032,
-0.8711678385734558,
-0.2867969870567322,
-0.361220121383667,
0.9440948367118835,
1.0357143878936768,
0.41232818365097046,
0.20331862568855286,
-0.5421916246414185,
0.15799656510353088,
-1.1784124374389648,
0.21814236044883728... |
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.
[Q]: Latoya feels angry.
[A]: anger
[Q]: The conversation with this woman was amazing.
[A]: joy
[Q]: Malik made me feel terrified.
[A]: | fear
| 5 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.4216683506965637,
0.358024001121521,
0.3804413676261902,
-0.9942020177841187,
-0.33099985122680664,
0.0824965089559555,
1.279686450958252,
0.16980373859405518,
0.2920950651168823,
-0.21477054059505463,
-0.6491976976394653,
-0.49476850032806396,
-0.6893266439437866,
0.03322875499725342,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimals in the output. Zero should be counted as an even integer.
[5, 8, 9, 3, 7]
Solution: [22, 2.0, 38, 14, 30]
Why? The odd numbers, 5, 9, 3, and 7 were multiplied by 4 then added 2. The even number eight was divided by 4.
New input: [66, -75, -66]
Solution: | [16.5, -298, -16.5] | 0 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.15494294464588165,
0.7490309476852417,
-0.16354265809059143,
-0.23655641078948975,
0.17542673647403717,
0.029234502464532852,
1.1084940433502197,
0.36747539043426514,
0.15679657459259033,
0.16619452834129333,
-0.41395097970962524,
-0.5768812894821167,
-0.4003927707672119,
0.061110056936... |
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.
Ischemic stroke is the leading cause of death and disability worldwide. To date, recombinant tissue plasminogen activator (rt-PA) remains the only safe and effective pharmaceutical treatment for brain ischemia, but delayed rt-PA administration leads to hyperperfusion, which severely limits its clinical efficacy.', 'In this study, we investigated the effect of epigallocatechin gallate (EGCG) in extending the therapeutic window of rt-PA using a rat middle cerebral artery occlusion (MCAO) model.', 'Simultaneous treatment of EGCG and rt-PA significantly recovered the neurobehavioral deficit, when administered even 4\u2009hours after MCAO. Pathological examinations on the ischemic brain samples revealed that EGCG significantly alleviated the common side effects of delayed rt-PA treatment, including brain infarction, cerebral edema, and blood-brain barrier disruption. We further found that EGCG exerted its protective functions against delayed rt-PA through upregulation of plasminogen activator inhibitor-1, as well as downregulation of matrix metalloproteinases. | 0 | 0 | NIv2 | task848_pubmedqa_classification | zs_opt | [
0.11936572939157486,
0.3237411081790924,
-0.2163977026939392,
0.26291710138320923,
0.4900292754173279,
-0.7851697206497192,
1.0611581802368164,
0.5728515982627869,
0.540744423866272,
0.8184283971786499,
-0.5123080015182495,
0.23185262084007263,
-0.75766521692276,
0.3440626263618469,
0.39... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be given a sentence in the Indonesian language(Bahasa variant). Your job is to convert it into the English language.
Baru-baru ini beberapa kota busana telah diamanatkan sebagai indeks masa tubuh minimum untuk para model di landas pacu.
Solution: Recently some fashion capitals have mandated minimum body mass indexes for runway models.
Why? The above sentence is correctly translated from Bahasa Indonesia to English
New input: Masuk pemilihan, Obama telah meramalkan untuk menang di California, dengan ramalan RealClearPolitics dia menang dengan 14 point.
Solution: | Going into the elections, Obama was already forecast to win in California, with RealClearPolitics predicting he would win by 14 points. | 0 | NIv2 | task543_alt_translation_bh_en | fs_opt | [
-0.487975537776947,
0.9679850935935974,
0.09297812730073929,
-0.14864811301231384,
0.20530685782432556,
-0.34844106435775757,
0.7153578996658325,
0.3625960946083069,
0.2417006492614746,
-0.07001778483390808,
-0.5949532985687256,
0.3489219546318054,
-0.38504958152770996,
-0.0900162011384964... |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
[Q]: I loved the feel of the hose unfortunately the cotton lace top has no give and therefore is very uncomfortable and cuts into your thigh.
[A]: Negative
[Q]: I didn't think much of this album when I first got it and listened to it, but after a couple of listens, I really liked it. In fact, it's probably one of my favourite Hollies albums. I usually listen to my music on my ipod or my itunes on shuffle, and whenever I hear a Hollies song that I don't really know but I really like what I hear, it's usually from this album. So I would definitely recommend it even if you are not a hard-core Hollies fan!!
[A]: Positive
[Q]: I got one of these for our office. This model is a big step up from the previous model (679) that it replaced. The 679 has only 1 button from which to access all functions. The 690 has 3 buttons so you can quickly access the function that you want. It appears to be durable & accurate. Highly recommended.
[A]: | Positive
| 5 | NIv2 | task493_review_polarity_classification | fs_opt | [
0.3092966675758362,
-0.21520283818244934,
-0.5663533806800842,
-0.1453622281551361,
0.6910916566848755,
-1.0427541732788086,
0.0978885143995285,
0.32658007740974426,
0.19726119935512543,
0.46793514490127563,
0.07718472182750702,
-0.030444374307990074,
0.17380237579345703,
-0.50501650571823... |
Teacher: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head can be hindered by what is mentioned in the Tail or not. In this task, hindering introduces hindrances that obstruct the natural path to the achievement of a goal. For example, the event PersonX adopts a cat can be obstructed if PersonX is allergic to cats. 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Head: PersonX touches a nerve<sep>Tail: PersonX is too nice
Solution: Yes
Reason: This is a good example. The Tail can hinder the Head.
Now, solve this instance: Head: PersonX always lost<sep>Tail: confused
Student: | No | 2 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
0.6309763789176941,
-0.1120152696967125,
0.487989604473114,
0.08905093371868134,
-0.22360169887542725,
-1.1425795555114746,
0.4544990062713623,
0.6065484881401062,
-0.7360447645187378,
-0.036788105964660645,
-0.4061828851699829,
-0.5709153413772583,
-0.5634242296218872,
-0.1982594281435012... |
Teacher: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For that you can use the Context; however, Context is not provided in all the inputs. Also, in some inputs, there can be zero emotion; for that return 'None'.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Context: A cook was carrying an armful of oranged in the kitchen.
Sentence: He dropped one on the floor by accident.
Character: Cook
Solution: annoyed
Reason: The cook dropped one orange on the floor, so, he must feel annoyed at that time.
Now, solve this instance: Context: Roy was a retired construction worker who lived alone. He had recently been widowed and was looking for some company. One day Roy's son and his grandchildren showed up with a surprise.
Sentence: The surprise was a new bulldog puppy!
Character: Roy's son
Student: | excited | 2 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
-0.02581777051091194,
-0.08300769329071045,
-0.20410612225532532,
-0.1386425644159317,
0.46387624740600586,
-0.1445581614971161,
0.9579195380210876,
1.0315598249435425,
-0.40198951959609985,
-0.26326772570610046,
-0.014733606018126011,
0.4815313220024109,
-0.2133597731590271,
0.36916100978... |
Teacher:Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Teacher: Now, understand the problem? Solve this instance: Japanese: アメリカ政府は、アルカイダが米国の株式と銀行の口座にサイバー攻撃を計画していると民間金融サービスに警告した、と関係者が木曜日に言った。
Bahasa Indonesia: Karena ukuran planetnya, teori-teori saat ini tentang planet raksasa yang super panas sangat sulit mengetahui mengapa sangat besar.
Student: | No | 6 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.5062375664710999,
0.4261516034603119,
-0.011131237260997295,
-0.11607800424098969,
-0.6542388200759888,
-0.882216215133667,
0.7803642153739929,
-0.38814759254455566,
-0.059423889964818954,
-0.4915410876274109,
0.07889481633901596,
0.4227333068847656,
-0.5318784713745117,
0.0110537856817... |
Instructions: In this task, you need to write a topic word from the given fact. The topic word must have at least one word overlap with the given fact. The topic word often involves adding a new word from a related concept. In your topic word, use at least one word from the given fact. Topic words with two or more words work best.
Input: Fact: threatening behavior causes a fight-or-flight response in animals.
Output: | animal animalia members. | 3 | NIv2 | task036_qasc_topic_word_to_generate_related_fact | zs_opt | [
0.029126686975359917,
0.6957823038101196,
-0.548253059387207,
-0.03545589745044708,
-0.7183671593666077,
-0.5904943346977234,
-0.08009122312068939,
0.5527557730674744,
-0.49237963557243347,
-1.117301106452942,
-0.6858158707618713,
0.49521785974502563,
-1.1178576946258545,
0.015794107690453... |
You will be given a definition of a task first, then some input of the task.
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Sentence: This is where Bell {{ 's }} patents went *T*-1 .
Word: 's
Output: | PRT | 1 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.23180276155471802,
0.09999401122331619,
-0.21604618430137634,
0.1677234172821045,
-0.06779216974973679,
-0.5317143797874451,
0.6101974248886108,
0.6132535934448242,
-0.05287659913301468,
-0.07384394109249115,
-0.7542531490325928,
0.162962406873703,
-0.4197537302970886,
0.2835833430290222... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Ex Input:
Tomorrow will be a better day.
Ex Output:
Did you have a good workday?
Ex Input:
I switched jobs last month.
Ex Output:
Anything new going on?
Ex Input:
I've tried their barbecue and it's very good.
Ex Output:
| Have you tried the barbecue place here?
| 1 | NIv2 | task568_circa_question_generation | fs_opt | [
-0.4250384271144867,
0.5898417234420776,
-0.27167409658432007,
0.3957598805427551,
-0.2706144452095032,
-1.2274023294448853,
0.3467634320259094,
0.6006546020507812,
0.221792072057724,
-0.18986450135707855,
-0.08101630955934525,
-0.33581411838531494,
-0.012860029935836792,
0.131858527660369... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Norwegian Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Norwegian language. 2) Also names ,dates and places should be preserved it should not get translated.
One example is below.
Q: The Hound of the Baskervilles
A: Hunden fra Baskerville
Rationale: The 'hound' and 'Baskervilles' keyword in English matches exactly with the 'hunden' and 'Baskerville' word in Norwegian so the name entity is preserved.
Q: To my dismay the creature flew straight for the great mire, and my acquaintance never paused for an instant, bounding from tuft to tuft behind it, his green net waving in the air. His gray clothes and jerky, zigzag, irregular progress made him not unlike some huge moth himself.
A: | Til min skrekk fløy det rett mot den store myren, men min nye bekjent lot seg ikke et øyeblikk stanse. Han sprang fra tue til tue med sitt grønne nett flagrende i luften, og hans grå drakt og rykkvise, siksakformige sprang gjorde ham ikke så ulik et kjempeinsekt selv. | 9 | NIv2 | task1649_opus_books_en-no_translation | fs_opt | [
-0.8396440744400024,
0.27119284868240356,
0.1621422916650772,
-0.22241511940956116,
-0.4483286738395691,
-0.9622583389282227,
1.0293147563934326,
-0.29238206148147583,
-0.21965882182121277,
-0.3734377920627594,
0.09014903008937836,
0.47996366024017334,
-1.1587035655975342,
0.00156883674208... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
Sentence: GOP leaders submitted the new offer Tuesday afternoon in an effort to appease Democrats, whose votes are needed to avert a shutdown of federal agencies, several House and Senate aides said. Question: Who has to be appeased to keep the government open?
Solution: Yes.
Why? The sentence says that "the Democrats" have to be appeased, which answers the question. So, the correct label should be "Yes".
New input: Sentence: He set out the cupcakes and fruit salad on the table.
Question: What did James set on the table?
Solution: | Yes. | 0 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.7167215347290039,
0.21457259356975555,
0.2018904834985733,
0.73719322681427,
-0.26585298776626587,
-0.9917423725128174,
0.6685017347335815,
0.8469794988632202,
0.19991831481456757,
0.13940802216529846,
-0.20435599982738495,
-0.04565626382827759,
0.021552756428718567,
-0.0330583862960338... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
you are a dumb spic that can not spell spaniard
Solution: dumb spic
Reason: The phrase from the tweet addresses a Spanish speaking person from the Caribbean in an offensive way.
Now, solve this instance: give that white bitch <number>
Student: | white bitch | 2 | NIv2 | task1504_hatexplain_answer_generation | fs_opt | [
-0.9198392033576965,
0.9927563071250916,
0.7368804216384888,
-0.1642085462808609,
-0.44681140780448914,
-1.0766905546188354,
-0.09828908741474152,
0.9318161010742188,
0.5537632703781128,
0.3373298645019531,
-0.4351683259010315,
0.6107794046401978,
-0.48646098375320435,
-1.1343333721160889,... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Beginning: Max hated board games. Middle 1: Max was excited to play Monopoly. Middle 2: Max agreed to play Monopoly against his wishes. Ending: Three hours in and Max still hates board games. | 2 | 0 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.17917798459529877,
0.2713789939880371,
-0.5719892382621765,
-0.018775833770632744,
-0.5903874039649963,
-0.12687116861343384,
0.30912432074546814,
0.2839706242084503,
0.1791841983795166,
-0.7516188621520996,
-0.43034958839416504,
-0.050563521683216095,
-0.13348110020160675,
-0.528775751... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
--------
Question: قد يبدو هذا طموحاً مفرطاً إلى حد ما ، لكنك حين تنظر إلى نفسك ، وحين تتأمل يديك مثلاً ، تدرك أنك حى.
Answer: Agora, isto pode parecer um pouco ambíguo, mas quando olham para vocês, quando olham para as vossas mãos, apercebem-se de que estão vivos.
Question: أيمكن أن مثل زوجي ، "" حبيبتي ، نوع من الخداع ؟
Answer: O meu marido diz, "" Querida, engano?
Question: وابيضت مفاصل اصابع يدي من تجمدها على الباب... اجربتم يوما شعور الخوف هذا ؟
Answer: | Tenho os nós dos dedos brancos, de me agarrar à porta, estão a ver?
| 7 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
-0.22950375080108643,
0.5632555484771729,
-0.07166822999715805,
-0.7320911884307861,
-0.09110526740550995,
0.45601898431777954,
0.8135083913803101,
0.057178348302841187,
0.2659139633178711,
0.11143043637275696,
-0.9850995540618896,
0.2540673613548279,
-0.8812817931175232,
0.378185123205184... |
Definition: Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Input: Vous êtes intelligent de trouver une faute de frappe dans ma tête.
Output: | Vous trouverez probablement un cheveu dans mon labo. | 2 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.24594806134700775,
0.5611683130264282,
0.2735323905944824,
-0.3655555844306946,
0.2558649182319641,
-0.45636841654777527,
0.4552290141582489,
0.03071480244398117,
0.5261697173118591,
-0.6978471875190735,
-1.6321653127670288,
-0.10068283975124359,
-0.6132420301437378,
0.3311390280723572,... |
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Q: My pug almost died from this product. A piece did not digest and got stuck in his intestinal tract. He had to have emergency surgery and 3000.00 later is now OK. Any knowledgeable pug breeder will tell you not to feed these to your pug. All the company did was refund me 25.00 for the cost of the product.
A: | Negative | 4 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
-0.24263685941696167,
-0.048154234886169434,
0.47660136222839355,
-0.19029083847999573,
-0.26940327882766724,
0.34306973218917847,
0.5657575726509094,
-0.010818002745509148,
0.06390462070703506,
-0.014072839170694351,
0.06668651103973389,
0.5429420471191406,
-0.44254928827285767,
-0.095416... |
Teacher:You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
Teacher: Now, understand the problem? Solve this instance: Sentence: Some district subdivisions remain legally villages yet are densely populated, Gonggabu VDC notably recorded a density over 20,000 people/km2.
Question: About how many people live in a square kilometer in Gonggabu VDC?
Student: | Yes. | 6 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.6892317533493042,
0.2680819034576416,
0.37992575764656067,
-0.012043021619319916,
-0.16407379508018494,
-1.4566099643707275,
0.31198158860206604,
0.41443824768066406,
-0.1454692780971527,
-0.4377048909664154,
-0.19897672533988953,
0.18299433588981628,
-0.5776633024215698,
-0.28869175910... |
Teacher: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?).
Teacher: Now, understand the problem? Solve this instance: two kinds of silver nanowires ( XFJ011 ) and silver colloids ( XFJ04 ) were selected to study their inhibitory effect on TGEVinduced host cell infection in vitro.
Student: | background | 6 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.730434238910675,
0.4445345997810364,
-0.274187833070755,
-0.17529910802841187,
0.2856709957122803,
-0.020216327160596848,
0.47920361161231995,
0.8614410161972046,
0.29965001344680786,
0.32830512523651123,
-0.6890888214111328,
-0.051047541201114655,
-0.6951768398284912,
-0.52410000562667... |
You will be given a definition of a task first, then some input of the task.
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
God's son, oh how laughing
Output: | English | 1 | NIv2 | task1618_cc_alligned_classify_tel_eng | zs_opt | [
-0.6075046062469482,
0.6506487131118774,
0.6411906480789185,
-0.1720002144575119,
-0.11228878796100616,
-0.4586332440376282,
0.49536019563674927,
0.26479795575141907,
-0.016046129167079926,
-0.12204117327928543,
0.0036135322879999876,
-0.19871129095554352,
0.01831781677901745,
-0.144363373... |
Given the task definition and input, reply with output. In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].
US oil eases after holiday, wary of winter US oil prices were slightly softer on Monday after a four-day break, but the threat of a cold winter stretching persistently low global heating oil inventories kept the market within sight of \$50 a barrel.
| Business | 5 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.7807557582855225,
0.52837073802948,
-0.1232660636305809,
0.6155185699462891,
-0.15006566047668457,
-0.22015050053596497,
-0.06736157834529877,
0.13909372687339783,
0.17245540022850037,
0.04006899148225784,
-0.528955340385437,
0.31118273735046387,
0.23435622453689575,
-0.3571107983589172... |
instruction:
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
question:
Context_1 : The Indian Institute of Foreign Trade (IIFT) is an autonomous public business school established in 1963 by the Government of India (Ministry of Commerce and Industry) to help professionalize the country's foreign trade management and increase exports by developing human resources; generating, analysing and disseminating data; and conducting research. Context_2 : Digital Trade Hub (Azerbaijani – "Rəqəmsal Ticarət Qovşağı") is a public platform developed by Government of Azerbaijan to contribute country's development in the field of foreign trade and entrepreneurship. Digital trade hubs are a new experience of commercing industry introduced by several developed countries like the United Kingdom (Great.gov.uk), South Korea (U-trade Hub) and China (Paperless Trading Bridge and E-Port) which considers this system as a new tool to benefit from advantages of worldwide e-trade. Hong Kong (Trade Single Window) is also expected to join these states with its Trade Single Window until 2018. Hubs are based on 'single window concept' as an electronic platform ensuring information about local manufacturers, for example product line, product mix, quality of products, stockpile volumes, etc. and a market searchable export directory to match businesses over the world. These hubs operate as a single digital point for trade and investment, connects local businesses with foreign customers and capital investors. Context_3 : The Port of Buenos Aires (Spanish: "Puerto de Buenos Aires" ) is the principal maritime port in Argentina. Operated by the "Administración General de Puertos" (General Ports Administration), a state enterprise, it is the leading transshipment point for the foreign trade of Argentina. Context_4 : This article outlines the history of the 24 Corten steel vehicles with corrugated sides, constructed by the South Australian Railways and primarily used on the East-West Express from Adelaide to Port Pirie. The South Australian Railways broad gauge system had been extended north in 1937 to meet a southern extension from Port Augusta on the Commonwealth Railways' standard gauge system, creating Port Pirie as a break-of-gauge and transshipment point. To encourage passengers to use the line despite the inconvenience of changing trains, in 1947 the Cafeteria Car was constructed and used on the services to and from Adelaide, in conjunction with the mid-1930s Steel carriage fleet. In 1964 the first airconditioned sitting cars entered regular service on the East-West Express, and construction of those continued through to 1967 with a total of nine sitting cars and fourteen vans. Context_5 : The Knik Site, also known as the Old Knik Townsite, is the location in Matanuska-Susitna Borough, Alaska that was once home to the largest settlement on Cook Inlet. The only surviving remnants of the community are a former log roadhouse, now a museum operated by the Wasilla-Knik Historical Society, and a log cabin. The Knik area had long been a meeting point of Native Alaskans, and in 1898 it became the principal community on Cook Inlet from which goods were shipped into the interior. In 1916 the Alaska Railroad reached the site of present-day Anchorage, bypassing Knik and leading to Anchorage's growth. When the railroad reached Wasilla, Knik lost all importance as a transshipment point, and its buildings were either abandoned or moved to one of the other communities. Knik is located about 13 mi southwest of Wasilla. Context_6 : The Roma Historic District in Roma, Texas preserves an intact example of a border town in the lower Rio Grande valley. The town was an important port and transshipment point on the Rio Grande from 1829 to the 1880s. Context_7 : The Port of Montreal (French: "Port de Montréal" ) is a port and transshipment point on the St. Lawrence River in Montreal, Quebec, Canada. On the Saint Lawrence Seaway 1,600 kilometres inland from the Atlantic Ocean, it is on the shortest direct route from Europe and the Mediterranean to North America. It is an international container port that services Toronto and the rest of Central Canada, the U.S. Midwest, and the U.S. Northeast. Context_8 : Cape Verdean organized crime refers to the various criminal organizations that are active in Cape Verdean diaspora communities. The Cape Verdean Islands themselves are not main centres for criminal activities, but Cape Verde's increased importance as a transshipment point in the West African cocaine trade and the existence of sizeable Cape Verdean communities in New England, the Dutch port city of Rotterdam as well as in several cities in Portugal, France and Switzerland led to the formation of criminal gangs in the community active in the international drug trade supplemented with other criminal activities. Cape Verdean organized crime primarily comes in the form of street gangs, with varying levels of organization and sophistication. Context_9 : SS "Cap Polonio" was a German GRT ocean liner that was launched in 1914 and scrapped in 1935. She worked the Hamburg Südamerikanische Dampfschifffahrtsgesellschaft ("Hamburg South America Steamship Company") route between Hamburg in Germany and Buenos Aires in Argentina. She was named after Cabo Polonio in Uruguay. Context_10 : Saint Kitts and Nevis has no major international disputes. Its status as a transshipment point for South American drugs destined for the United States and Europe has caused some tension with foreign countries. fact_1 : She worked the Hamburg Südamerikanische Dampfschifffahrtsgesellschaft ("Hamburg South America Steamship Company") route between Hamburg in Germany and Buenos Aires in Argentina. fact_2 : Operated by the "Administración General de Puertos" (General Ports Administration), a state enterprise, it is the leading transshipment point for the foreign trade of Argentina. Question: SS Cap Polonio's destination port was the leading transshipment point for foreign trade of which country in South America?
answer:
Argentina
question:
Context_1 : Crab dip, sometimes referred to as Maryland crab dip, is a thick, creamy dip that is typically prepared from cream cheese and lump crab meat. Other primary ingredients such as mayonnaise may be used. Various types of crab preparations, species and superfamilies are used, as are a variety of added ingredients. It is typically served hot, although cold versions also exist. Hot versions are typically baked or broiled. It is sometimes served as an appetizer. Accompaniments may include crackers and various breads. Some U.S. restaurants offer crab dip, commercially produced varieties exist, and some stadiums offer it as a part of their concessions. Context_2 : Corn crab soup is a dish found in Chinese cuisine, American Chinese cuisine, and Canadian Chinese cuisine. The soup is actually cream of corn soup with egg white and crab meat or imitation crab meat added. It is most likely of southern Chinese origin. Context_3 : Deviled crab (croqueta de jaiba in Spanish) is a crab meat croquette. The crab meat is slowly sauteed with seasonings, breaded (traditionally with stale Cuban bread), rolled into the approximate shape of a rugby football or a small potato, and deep fried. Context_4 : This is a list of crab dishes. Crabs live in all the world's oceans, in fresh water, and on land, are generally covered with a thick exoskeleton and have a single pair of claws. Crab meat is the meat found within a crab. It is used in many cuisines across the world. Context_5 : Crab sticks, krab sticks, imitation crab meat or seafood sticks are a form of kamaboko, a processed seafood made of starch and finely pulverized white fish (surimi), shaped and cured to resemble the leg meat of snow crab or Japanese spider crab. Context_6 : Portunus haanii (swimming crab, red swimming crab, red swimmer crab, or warty swimming crab) is a species of crab. It is a source of commercial crab meat in Vietnam and China. Context_7 : West Indies Salad is a variation of crab meat ceviche that originated in the Mobile, Alabama area and is still a regional seafood delicacy enjoyed today. West Indies Salad has been claimed as being created by the restaurateur Bill Bayley, the owner of Bayley's Restaurant south of Mobile on Dauphin Island Parkway, in 1947. There are variations of the recipe, but the ingredients should always include lump blue crab meat, diced sweet white onions, garlic, lemon juice, cider vinegar, salt, pepper, and vegetable oil (traditionally Wesson oil). There are recipes in the cookbook of the Junior League of Mobile (first published in the 1964 version of this cookbook) and the recently in the Times Picayune of New Orleans. The dish is offered in many restaurants in the Mobile Bay area. Context_8 : A California roll or California maki is a "makizushi" sushi roll, usually made inside-out, containing cucumber, crab meat or imitation crab, and avocado. Sometimes crab salad is substituted for the crab stick, and often the outer layer of rice in an inside-out roll ("uramaki") is sprinkled with toasted sesame seeds, "tobiko" or "masago" (capelin roe). Context_9 : Crab Rangoon, sometimes called crab puffs, crab rangoon puffs, or cheese wontons, are deep-fried dumpling appetizers served in American Chinese and, more recently, Thai restaurants, stuffed with a combination of cream cheese, crab meat or imitation crab meat, scallions, and/or garlic and onion. These fillings are then wrapped in Chinese wonton wrappers in a triangular or flower shape, then deep-fried in vegetable oil. The dish can also be baked. Context_10 : Eggs Neptune is a layered breakfast or brunch dish consisting of a split English muffin, crab meat, poached eggs, and hollandaise sauce. It is a variation of Eggs Benedict with crab meat replacing Canadian bacon. fact_1 : A California roll or California maki is a "makizushi" sushi roll, usually made inside-out, containing cucumber, crab meat or imitation crab, and avocado. fact_2 : Sometimes crab salad is substituted for the crab stick, and often the outer layer of rice in an inside-out roll ("uramaki") is sprinkled with toasted sesame seeds, "tobiko" or "masago" (capelin roe). fact_3 : Crab sticks, krab sticks, imitation crab meat or seafood sticks are a form of kamaboko, a processed seafood made of starch and finely pulverized white fish (surimi), shaped and cured to resemble the leg meat of snow crab or Japanese spider crab. Question: If a California roll doesn't contain real crab meat, then what might there be a form of in it's place?
answer:
kamaboko
question:
Context_1 : Paul Waaktaar-Savoy (born Pål Waaktaar Gamst, 6 September 1961) is a Norwegian musician and songwriter. He was named Knights First Class of the Order of St. Olav by King Harald for his services to Norwegian music and his international success. Pål Savoy is best known for his work as the main songwriter and guitarist in the Norwegian pop band A-ha. He has written or co-written most of the band's biggest hits, including "The Sun Always Shines on T.V.", "Hunting High and Low", "Take On Me", the James Bond theme "The Living Daylights" and the ballad "Summer Moved On". In addition, Waaktaar-Savoy is also a painter. The band A-ha has sold more than 50 million albums worldwide. Context_2 : "Velvet" is a song by Savoy, a band fronted by Paul Waaktaar-Savoy from their first album, "Mary Is Coming". Savoy's version was released as a single in the US, but got very little airplay. Context_3 : The Royal Norwegian Order of Saint Olav (Norwegian: "Den Kongelige Norske Sankt Olavs Orden" ; or "Sanct Olafs Orden", the old Norwegian name) is a Norwegian order of chivalry instituted by King Oscar I on August 21, 1847. It is named after King Olav II, known to posterity as St. Olav. Context_4 : Leif Østby (2 January 1906 – 23 December 1988) was a Norwegian art historian. He was born in Skjeberg. His speciality was Scandinavian art from the 20th century. He worked at the National Gallery of Norway from 1946 to 1973. He edited the journal "Kunst og Kultur" from 1962 to 1980. He published several works on the history of art and on individual artists, including Harald Sohlberg, Hjalmar Haalke, Johan Christian Dahl, Theodor Kittelsen and Erik Werenskiold. He was decorated Knight, First Class of the Order of St. Olav in 1973. Context_5 : Olav Brænden (1 July 1919 – 14 July 1989) was a Norwegian pharmacist, drug expert and inventor. He was born in Norderhov, Buskerud. Brænden studied pharmacy at the University of Oslo, and graduated as pharmaceutical chemist in 1942. During the 1950s his interests centered on drug-related questions. From 1955 he led the development of the United Nations' drug laboratories in Geneva, and served as Director of the lab until his retirement in 1979. He was decorated Knight, First Class of the Order of St. Olav in 1980. He is also known for his invention of the medicine "Brændens nesedråper" ("nose droplets"). Context_6 : Olav Bø (19 May 1918 – 26 July 1998) was a Norwegian folklorist. He was born in Bygland. Bø was appointed at the University of Oslo from 1956, as professor from 1974. Among his books are "Norsk skitradisjon" from 1966, "Vår norske jul" from 1970, and "Trollmakter og godvette" from 1987. He wrote a biography of cross-country skier and resistance member Johan Grøttumsbråten. He was decorated Knight, First Class of the Order of St. Olav in 1985. Context_7 : Sverre Lyngstad (1922 – 2011) was a scholar and translator of Norwegian literature. He is renowned for his significant contribution to making Norwegian literature accessible to an English-speaking audience, for which he was awarded the St. Olav's Medal in 1987 and the Royal Norwegian Order of Merit, Knight's Cross, First Class in 2004. He is best known for his translations of and commentaries on the works of Knut Hamsun, which are widely credited for helping to popularise Hamsun's work in the US and UK. Context_8 : Andreas Grasmo (7 November 1912 – 13 October 1986) was a Norwegian priest and organizational leader. He was born in Vardø; the son of parish priest Johan Oskar Grasmo. He graduated as cand.theol. from the MF Norwegian School of Theology in 1937. After World War II he organized humanitarian aid from the Church of Norway among refugees in Germany, a work which was the start of the humanitarian organization Norwegian Church Aid, with a worldwide scope. From 1952 he served as leader of the Church City Mission. He was decorated Knight First Class of the Order of St. Olav in 1970, and was awarded the Medal of St. Hallvard. Context_9 : Julius Paltiel (4 July 1924 – 7 March 2008) was one of the 26 Norwegian Jews who returned from Auschwitz. For their tireless service in telling about the atrocities in the Nazi extermination camps, both Paltiel and his widow were awarded St. Olav's Medal, he in 2004 and she in 2016. Paltiel was given a Norwegian state funeral, attended by King Harald V. Context_10 : Kristofer Leirdal (15 December 1915, Aure, Norway – 6 July 2010) was a Norwegian sculptor. He received his education at the Norwegian National Academy of Craft and Art Industry from 1936 to 1938, and later at the Norwegian National Academy of Fine Arts between 1938 and 1940. Leirdal is especially noted for his sculptural contributions to the restoration of the Nidaros Cathedral in Trondheim. In 1997 he was made Knight, First Class, of the Royal Norwegian Order of St. Olav. fact_1 : "Velvet" is a song by Savoy, a band fronted by Paul Waaktaar-Savoy from their first album, "Mary Is Coming". fact_2 : He was named Knights First Class of the Order of St. Olav by King Harald for his services to Norwegian music and his international success. Question: What album is a song, released as a single in the US, but got very little airplay, by Savoy fronted by a Norwegian musician and songwriter who was named Knights First Class of the Order of St. Olav by King Harald for his services to Norwegian music and his international success ?
answer:
| Mary Is Coming
| 9 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.21294696629047394,
-0.20904257893562317,
-0.16463489830493927,
-0.4491000175476074,
0.3612152934074402,
0.28366729617118835,
0.631181001663208,
0.9704629778862,
-0.33996203541755676,
0.5615733861923218,
-0.107070192694664,
0.21223202347755432,
-0.56486976146698,
0.6212869882583618,
0.0... |
Teacher:In this task, you are given a text of the article. Your task is to generate a headline (title) for this article.
Teacher: Now, understand the problem? Solve this instance: east timor and the united nations on thursday launched an appeal for ##.# million dollars to help resettle and reintegrate about ###,### people displaced by violence which wracked the country last year .
Student: | east timor UNK for aid to help ###,### displaced by violence | 6 | NIv2 | task288_gigaword_summarization | zs_opt | [
0.4951009750366211,
0.2371722161769867,
-0.03732343763113022,
-0.034767307341098785,
-0.24009975790977478,
-0.6749126315116882,
0.6054340600967407,
0.285298228263855,
-0.7936965823173523,
0.24674108624458313,
0.1598009169101715,
0.47860997915267944,
-0.8093423247337341,
-0.1695079952478408... |
Detailed 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 _ .
Problem:During Wimbledon, it's Kim Murray's job to support Britain's number one as he bids to win the grand slam trophy for the second time. And it's clear she takes her role seriously, as she arrived to watch him win his quarter final match against Canadian Vasek Pospisil in a tuxedo by a London label who specialise in contemporary work wear. The 27-year-old artist wore the £245 Le Marais Tuxedo Jacket in Midnight Blue by fashion brand The Fold who are based in Clerkenwell. The company was founded by Polly McMaster and their clothes are designed with 'modern, professional women in mind'.Andy Murray played Wimbledon quarter finals todayWon in straight sets 6-4, 7-5, 6-4Wife Kim watched in navy blue tuxedoGarment is £245 by London-based brand The FoldThey specialise in work wear and SamCam is a fan
Solution: | She has watched _ play on the hottest days of the year so far but as temperatures have now cooled in South West London, she today wore skinny jeans with beige sandals. | 8 | NIv2 | task301_record_question_generation | zs_opt | [
-0.5178947448730469,
0.5728175640106201,
-0.318514347076416,
0.2720181941986084,
0.08306638151407242,
0.2690551280975342,
0.49647021293640137,
0.4257117807865143,
0.8869296312332153,
0.26589083671569824,
-0.3387449085712433,
0.7853457927703857,
-0.7214028239250183,
-0.20795175433158875,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Ex Input:
Head: PersonX buys PersonX's clothes<sep>Tail: to be able to dress nicely
Ex Output:
Yes
Ex Input:
Head: PersonX gives PersonY a push<sep>Tail: feel badly
Ex Output:
Yes
Ex Input:
Head: PersonX fulfils PersonY's needs<sep>Tail: to get a promotion
Ex Output:
| Yes
| 1 | NIv2 | task1214_atomic_classification_xwant | fs_opt | [
0.4278287887573242,
-0.13486088812351227,
0.12834051251411438,
0.029303736984729767,
-0.26014119386672974,
-0.6959313154220581,
0.9471489191055298,
0.8854409456253052,
-0.8646312952041626,
-0.22061790525913239,
-0.5678091049194336,
-0.43933039903640747,
-1.0142749547958374,
-0.105697646737... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question to be answered. Each step in our decomposition should refer to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.)
Here are the list of step templates and their description:
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].
--------
Question: question: who wrote brown bears wedding?
Answer: #1 return brown bears wedding
#2 return who wrote #1
Question: question: Give the names and locations of all wrestlers.
Answer: #1 return wrestlers
#2 return the names of #1
#3 return the locations of #1
#4 return #2 , #3
Question: question: What featured Mario Lopez and was released in April of 1988?
Answer: | #1 return Mario Lopez
#2 return what featured #1
#3 return #2 that was released in April of 1988
| 7 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.9268826246261597,
0.012351525947451591,
-0.9096158742904663,
0.5418641567230225,
0.1769050657749176,
-0.0634077712893486,
1.2349259853363037,
0.27841469645500183,
-0.2719554901123047,
0.3227066695690155,
-0.6466419100761414,
0.2498190551996231,
-0.2514365017414093,
0.6676920056343079,
... |
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens after the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX looks around the room<sep>Tail: PersonX arrives at the party
| Yes | 5 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.05369425565004349,
0.5109043121337891,
0.36919111013412476,
0.06920633465051651,
-0.6491744518280029,
-0.511210560798645,
1.0135326385498047,
0.4102514982223511,
-0.3554708957672119,
-0.32356253266334534,
-0.38534024357795715,
-0.22543704509735107,
-0.6905384063720703,
0.2478373944759369... |
Part 1. Definition
In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
Part 2. Example
He grew up in Evanston, Illinois the second oldest of five children including his brothers, Fred and Gordon and sisters, Marge (Peppy) and Marilyn. His high school days were spent at New Trier High School in Winnetka, Illinois. MacKenzie studied with Bernard Leach from 1949 to 1952. _His_ simple, wheel-thrown functional pottery is heavily influenced by the oriental aesthetic of Shoji Hamada and Kanjiro Kawai. <sep>, Pronoun: His <sep>, A: MacKenzie <sep>, B: Bernard Leach
Answer: A
Explanation: Based on the text, his refers to MacKenzie so option A is correct.
Part 3. Exercise
However, Markbreit became confused by the similar design of both sides of the coin: one side had two helmets and the other side showed two players holding helmets. Thus, he incorrectly thought ``heads'' had landed. When Markbreit became confused, NBC Sports play-by-play announcer Dick Enberg ordered his producer to cut off the microphones surrounding midfield and pull away from the tight shot involving Markbreit, Kuechenburg and Redskins quarterback Joe Theismann. After a short discussion with _his_ head linesman, Dale Hamer, Markbreit corrected his mistake before the kickoff. <sep>, Pronoun: his <sep>, A: Markbreit <sep>, B: Joe Theismann
Answer: | A | 7 | NIv2 | task329_gap_classification | fs_opt | [
0.3753626346588135,
0.16875562071800232,
-0.4839828312397003,
0.23830801248550415,
-0.09964164346456528,
0.011055371724069118,
0.784364640712738,
0.9507173299789429,
0.2870204448699951,
-0.30054691433906555,
-0.8304188251495361,
0.04169273376464844,
-0.27050769329071045,
-0.066270321607589... |
Q: In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
[105, 74, 77, 14, 100, 100, 46, 4]
A: | [105, 77] | 7 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.615195631980896,
0.47947338223457336,
-0.1467379480600357,
-0.6211087703704834,
0.4375265836715698,
-0.39410898089408875,
0.7026563882827759,
0.3275202512741089,
-0.4010431170463562,
0.6027957797050476,
-0.5155115723609924,
0.08037738502025604,
-0.060000404715538025,
-0.2581921219825744... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statement, as indicated by the label. If sentence X agrees with sentence Y, the can be concluded from one another. If sentence X disagrees with sentence Y, they can not be correct at the same time. The sentence must also belong to the genre specified.
Statement: um well you too i guess it's getting getting to be lunch time i need to go take care of the kids but you have a good day
Label: neutral.
Genre: telephone. | I hope to speak with you again sometime. | 0 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-0.9571913480758667,
0.38951411843299866,
-0.039560019969940186,
0.09464582800865173,
0.1264224648475647,
-0.37336981296539307,
-0.3785051703453064,
0.43817269802093506,
0.1258625090122223,
-0.017340414226055145,
-0.17430436611175537,
0.027536820620298386,
-0.7649036645889282,
-0.201252639... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Ex Input:
Sentence1: The show 's closure affected third-quarter earnings per share by a penny ., Sentence2: The company said this impacted earnings by a penny a share .
Ex Output:
Yes
Ex Input:
Sentence1: Fighting has continued sporadically in the west , where it is complicated by the presence of battle-hardened Liberians on both sides ., Sentence2: Both are in the cocoa-growing west of the world 's top producer in a region where fighting is complicated by the presence of Liberians on both sides .
Ex Output:
No
Ex Input:
Sentence1: Veritas said new customers can buy Bare Metal Restore for $ 900 per Windows client and $ 1,000 per Unix client ., Sentence2: Bare Metal Restore 4.6 will be available in mid-June , said Veritas , and will cost $ 900 per Windows client and $ 1,000 per Unix client .
Ex Output:
| No
| 1 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
0.05242111533880234,
0.016962040215730667,
-0.2690376937389374,
0.2536754608154297,
0.038452714681625366,
-0.09248726069927216,
0.14335781335830688,
1.4032297134399414,
-0.12381646037101746,
0.10677829384803772,
-0.2906087040901184,
0.6267683506011963,
-0.5205894708633423,
-0.1757688373327... |
Given the task definition and input, reply with output. The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced letter in a word e.g 'nicr' is a typo of the word 'nice'. You need to identify the typo in the given sentence. To do this, answer with the word containing the typo.
A irl lays a video game with a mat
| irl | 5 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.9661661386489868,
0.5572329759597778,
0.26111888885498047,
0.8716771602630615,
0.33771297335624695,
-0.9488910436630249,
0.8837532997131348,
0.484722763299942,
0.047938022762537,
-0.06468190252780914,
0.3164147138595581,
-0.21005219221115112,
-0.7890294194221497,
-0.5303444862365723,
... |
Given a scientific question, generate a correct answer to it.
Let me give you an example: Who proposed the theory of evolution by natural selection?
The answer to this example can be: darwin
Here is why: This is a direct fact that Charles Darwin proposed the theory of evolution.
OK. solve this:
What term is used to describe the cellular structures responsible for protein synthesis?
Answer: | ribosomes | 8 | NIv2 | task591_sciq_answer_generation | fs_opt | [
-0.04712873324751854,
0.355417937040329,
-0.5569634437561035,
0.1719478964805603,
-0.8798401355743408,
-0.2851957380771637,
-0.2710852026939392,
0.12423382699489594,
0.576963484287262,
-0.1284346878528595,
-0.5889413356781006,
0.29490774869918823,
-1.241614818572998,
0.21291616559028625,
... |
Given the task definition and input, reply with output. Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
THEM: i just want a hat.. i'm bald YOU: sure thing, i just want a basketball.
| No | 5 | NIv2 | task1384_deal_or_no_dialog_classification | zs_opt | [
0.2075578272342682,
1.0071114301681519,
0.13142117857933044,
0.4714624881744385,
-0.23639850318431854,
-0.43271440267562866,
0.5501118302345276,
-0.07498659193515778,
0.09158746898174286,
-0.03743597865104675,
-0.36410748958587646,
0.2230726033449173,
-0.5289750099182129,
-0.43367487192153... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
One example: Lucifer how many episodes are in season 3?
Solution is here: How many episodes of season 3 of Lucifer were there, including bonus episodes?
Explanation: The generated question clarifies the input question by asking about bonus episodes because if the question is about regular episodes only then the answer will be different than including the bonus episodes.
Now, solve this: Who has had the most babies in one pregnancy?
Solution: | Who has had the most babies in one pregnancy in 1998? | 6 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.277229368686676,
0.32676053047180176,
-0.22997282445430756,
-0.5703691244125366,
-0.338889479637146,
0.4351053833961487,
0.21219156682491302,
-0.35552307963371277,
-0.15668949484825134,
-0.5039618611335754,
-0.5468416213989258,
0.6258577108383179,
-1.291985034942627,
0.19855768978595734... |
In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
ফালতু লোকের ফালতু বই! | negative | 0 | NIv2 | task1497_bengali_book_reviews_sentiment_classification | zs_opt | [
-0.6787432432174683,
-0.06581602990627289,
0.4269426465034485,
-0.2804591655731201,
0.6315246224403381,
0.10798315703868866,
0.883959174156189,
-0.5233596563339233,
0.2954014837741852,
-0.2528001070022583,
-1.2072715759277344,
-0.38013535737991333,
-0.3147816061973572,
0.10496316850185394,... |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
--------
Question: Context: To evaluate pain behavior and structural damage in mice subjected to either meniscal transection or removal.', 'Mice (10/group) were subjected to transection of the medial collateral and anterior cruciate ligaments (ACLT/MCLT) followed by either transection (meniscotomy) or removal (meniscectomy) of the medial meniscus. A control group was subjected only to transection of the ligaments. Pain was assessed using the electronic pressure-meter paw test. Cell influx, measured in joint exudates, and joint histopathology were assessed after 49 days. Four other groups subjected to meniscotomy received indomethacin, the inducible nitric oxide synthase (iNOS) inhibitor 1400W, morphine or the vehicles.', 'Both meniscotomy and meniscectomy groups displayed persistent and significant increase in pain behavior as compared to controls, being significantly more severe in the former. Cell influx was more intense in the meniscotomy as compared to the meniscectomy group. Structural damage at the tibia, but not at the femur, was also more severe in the meniscotomy group. Indomethacin and 1400W partially but significantly reduced pain whereas morphine abrogated pain behavior in meniscotomized mice.
Answer: Meniscal transection rather than resection promotes more severe pain and structural damage in mice. Administration of opioids, cyclooxygenase and nitric oxide (NO) synthase inhibitors provide analgesia in this model. Careful description of the structures damaged is crucial when reporting experimental osteoarthritis (OA).
Answer: Does meniscal transection rather than excision increase pain behavior and structural damage in experimental osteoarthritis in mice?
Question: Context: Immunologic abnormalities have been found in bipolar disorder but pentraxin 3, a marker of innate immunity, has not been studied in this population.', 'Levels of pentraxin 3 were measured in individuals with bipolar disorder, schizophrenia, and non-psychiatric controls. Linear regression models were used to compare the pentraxin 3 levels in each of the psychiatric groups to that in the control group, adjusting for demographic and clinical variables. Logistic regression models were used to calculate the odds ratios associated with levels of pentraxin 3 which differed from specified levels of the control group.', 'The sample consisted of 831 individuals: 256 with bipolar disorder, 309 with schizophrenia, and 266 without a psychiatric disorder. The levels of pentraxin 3 in the bipolar disorder, but not in the schizophrenia, group were significantly lower than those of controls, adjusting for age, gender, race, maternal education, smoking status, and body mass index (t = -3.78, p < 0.001). The individuals with bipolar disorder also had significantly increased odds of having low levels of pentraxin 3 relative to both the 10th and 25th percentile level of the controls and significantly decreased odds of having a level greater than the 75th and the 90th percentile level of the controls, adjusting for the same covariates.
Answer: Individuals with bipolar disorder have low levels of pentraxin 3 which may reflect impaired innate immunity. An increased understanding of the role of innate immunity in the etiopathogenesis of bipolar disorder might lead to new modalities for the diagnosis and treatment of this disorder.
Answer: Is pentraxin 3 reduced in bipolar disorder?
Question: Context: Stroke is a leading cause of disability. However, there is no pharmacological therapy available for promoting recovery. Although treatment of stroke with cystamine has gained increasing interest, the detailed mechanisms underlying this process remain elusive. Thus, our aim is to examine the effect of cystamine on the function recovery after stroke and investigate further cystamine mechanisms.', 'Adult male C57BL/6J mice were subjected to photothrombotic model of focal stroke or sham operation. Cystamine or saline was administered intraperitoneally at 24\xa0h after stroke. Functional recovery was analyzed using behavioral tests; axon remodeling was analyzed using magnetic resonance diffusion tensor imaging (DTI) and histological assessment. ANA-12, an antagonist of tropomyosin-related kinase B (TrkB), was administrated to examine the mechanisms underlying the neuroprotection mediated by cystamine.', 'Treatment with cystamine resulted in amelioration of impaired function with concomitant enhancement of axonal remodeling. Cystamine treatment significantly increased brain-derived neurotrophic factor (BDNF) levels and phosphorylation of TrkB in brain after stroke. Cystamine significantly enhanced neuronal progenitor cell proliferation, neuronal survival, and plasticity through BDNF/TrkB pathway.
Answer: These data provide evidence to investigate the promising utility of cystamine for therapy of stroke in a variety of ways, acting principally through BDNF/TrkB pathway.
Answer: | Does cystamine improve functional recovery via axon remodeling and neuroprotection after stroke in mice?
| 7 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.39124786853790283,
-0.25696998834609985,
-0.7240970730781555,
0.49347537755966187,
0.864479660987854,
-0.35459744930267334,
1.0932807922363281,
0.984249472618103,
0.2768685221672058,
0.5088478922843933,
-0.9037325382232666,
-0.008610561490058899,
0.06684085726737976,
0.5166093111038208,
... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found directly from the passage.
Example Input: Passage: This morning , when I was sharpening a knife , I cut my thumb and needed to put a band aid . First , I went to the medicine cabinet in the bathroom where I keep the first aid kid . I opened up the kit and looked for a band aid that would work for the cut . Some of the band aids were too big , and would n't fit on my thumb without hanging over the tip , some were too small and would n't cover the cut on my thumb . Next , I washed my hands thoroughly to make sure the cut was clean and then I dried my hands with a clean towel. , Then I put some antiseptic ointment from the first aid kit on the cut , to help the cut heal faster and reduce the chance of getting an infection . Finally , with my cut cleaned and treated , I wrapped it carefully with a band aid . Question: Where did they look to find a band aid? Option1: medicine cabinet Option2: in the bedroom
Example Output: medicine cabinet
Example Input: Passage: I brought my dog Waldo to the pet store . There was a lady there that knew how to train animals . She greeted us and then started to work with Waldo . She taught him a bunch of different things , like how to sit and how to give his paw to me . The trainer first taught him to give his paw and then taught him to roll over . After the trainer worked with Waldo , I interacted with him and tried to get him to do some tricks . Waldo showed me what he had learned with the trainer . He gave me his paw and then rolled over when I told him to . I thanked the trainer and set up another appointment for Waldo next week . Then , I came home . Question: The lady at the store that could train dogs taught them what? Option1: New tricks Option2: To fetch and speak.
Example Output: New tricks
Example Input: Passage: I am so hungry ! I want a sandwich . What do I need to make a sandwich ? I also need some peanut butter and jelly . Strawberry jelly is my favorite , so that is the jelly I get out of the refrigerator . I get the bread and the peanut butter out of the cupboard . I get a plate out for my sandwich and a knife for the peanut butter and a spoon for the jelly . I open the peanut butter and spread it with the knife onto one slice of bread . I open the jelly and spread it on the other slice of bread with the spoon . I put the two pieces together and put them on the plate . My sandwich is complete . Question: What do they need? Option1: Items to make peanut butter and jelly sandwich Option2: Butter for toast
Example Output: | Items to make peanut butter and jelly sandwich
| 3 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.7415011525154114,
0.596110999584198,
-1.0982780456542969,
0.5447608232498169,
0.07273036241531372,
-0.29234200716018677,
0.8871433734893799,
0.8049999475479126,
-0.09231200069189072,
-0.06654399633407593,
-0.8558200001716614,
-0.6679009199142456,
-0.28086593747138977,
0.03223421424627304... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: And what would due process be?
A: | और नियत प्रक्रिया क्या होगी? | 9 | NIv2 | task432_alt_en_hi_translation | zs_opt | [
-0.4435310363769531,
0.28460341691970825,
0.5968612432479858,
-0.44189924001693726,
-0.3576107621192932,
0.11701370030641556,
0.44417446851730347,
0.6898494958877563,
-0.27953046560287476,
-0.007457980886101723,
-0.24214792251586914,
-0.31315377354621887,
-0.5280565023422241,
0.36031657457... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions in the sentence order of the story; note that the selected choices may fit into the story at any point. Your answer must be in the form of '2a, 5b', where '2a' means the candidate sentence 'a' will be inserted as the 2nd sentence in the story. The answer must also be in the order of the selected choices, i.e., '2a, 5b' is allowed, and '5b, 2a' is not allowed. If options are equally plausible, pick the ones that make more sense.
Title: Marcus Buys Khakis. Marcus needed clothing for a business casual event. He decided to buy a pair of khakis. The pair he bought fit him perfectly. Choices: a. Marcus was happy to have the right clothes for the event. b. He left in a huff for having his ideas mocked. c. All of his clothes were either too formal or too casual.
Solution: 5a, 2c
Why? Marcus is buying clothes for a business event and not presenting an idea.
New input: Title: I needed to get groceries yesterday. I took my list into the store with me. I bought everything on the list, and had trouble carrying it home. Choices: a. On the way, I thought about what I needed to buy. b. I walked to the store instead of driving. c. Stanley laughed at Ryan after the sale.
Solution: | 3a, 2b | 0 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
0.23443491756916046,
-0.1259315311908722,
-0.07915966957807541,
0.7617568969726562,
0.4099578857421875,
0.15020689368247986,
0.2232591211795807,
0.7814218997955322,
-0.3821460008621216,
0.5380904674530029,
-0.6451274156570435,
-0.009185738861560822,
0.22430092096328735,
-0.1876702010631561... |
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.
One example: For four years we have waited expectantly for the pitter patter of tiny paws. Soon, that wait could finally be over. Tian Tian, the UK's only female giant panda, has conceived and could give birth to a cub as early as August. However Edinburgh Zoo, where the pandas live, have warned people 'not to get too excited' as the process is 'extremely complex'. Moreover, on the two previous occasions keepers inseminated Tian Tian - whose name means 'Sweetie' - she has failed to produce a panda cub. She was artificially inseminated again in March this year, but keepers at the zoo say implantation - when a fertilised egg attaches to the uterus - has not yet occurred.Tian Tian has conceived and could give birth to a cub as early as AugustShe has been inseminated twice before but so far failed to produce a cubTian Tian and Yang Guang arrived in 2011 from China to great fanfareOn loan at £600k a year, became first giant pandas to live in UK for 17 years
Questions:Under the terms of the agreement any cubs will return to _ at the age of two, the age at which they would normally leave their mother in the wild. (A) Tian Tian (B) UK (C) Edinburgh Zoo (D) Sweetie (E) Yang Guang (F) China
Solution is here: (F)
Explanation: This is a good example. Based on the passage, any cubs will return to China at the age of two
Now, solve this: A family who lost both of their dogs at the same time have been reunited with the hounds thanks to the help of two Good Samaritans. Dennis Elton drove into a remote forest near Mt St Helens in Washington State on October 26 with his dogs Woody, a Brittany spaniel, and Brock, a chocolate lab. But the two dogs quickly caught scent of something and bolted from their owner's side, and didn't heed any of Elton's calls to return to the truck. After hours of searching for the two dogs, Elton eventually had to give up and head home, leaving his beloved family dogs in the woods.Dennis Elton drove into the forest near Washington state's Mt St Helens on October 26 with his dogs Brock and WoodyThe dogs caught a scent after arriving and bolted from EltonElton tried to call the dogs back but eventually had to return home without the beloved family petsNearly a week later, two separate hikers found the dogs about 25 miles away from where they first went missingAfter posting pictures of the dogs on social media, they were quickly reunited with the Eltons
Questions:Another hiker had found _ in the same area and had him at his home in Camas, Washington. (A) Good Samaritans (B) Dennis Elton (C) Mt St Helens (D) Washington State (E) Woody (F) Brittany (G) Brock (H) Elton (I) Washington
Solution: | (G) | 6 | NIv2 | task302_record_classification | fs_opt | [
0.21724477410316467,
0.45654481649398804,
-0.5077401995658875,
-0.07002309709787369,
-0.2877785861492157,
-0.2813165783882141,
0.3475712537765503,
0.9454705715179443,
-0.20502279698848724,
0.33632993698120117,
0.01612306572496891,
0.6509126424789429,
-0.5224887132644653,
0.5165696144104004... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Let me give you an example: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
The answer to this example can be: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Here is why: The Arabic sentence is correctly translated into Hebrew, because the meaning is preserved.
OK. solve this:
واحياناً أأخذهم الى بحر اليابان حيث يقابلون قنديل بحر كبير
Answer: | לקחתי אותם לים של יפן, שם הם פגשו מדוזות ענק. | 8 | NIv2 | task1233_ted_translation_ar_he | fs_opt | [
-0.869115948677063,
0.12274249643087387,
-0.05080404132604599,
-0.6263311505317688,
-0.1546376645565033,
0.04711645096540451,
0.9398522973060608,
-0.6018022298812866,
0.25046467781066895,
-0.8299976587295532,
-0.7258174419403076,
-0.28206485509872437,
-1.0008857250213623,
0.490485936403274... |
Instructions: In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Input: PersonX pays another ___
Output: | drink | 3 | NIv2 | task1217_atomic_answer_generation | zs_opt | [
-0.45630258321762085,
1.0957934856414795,
-0.3552991449832916,
-0.4945032596588135,
-0.12726543843746185,
0.32709503173828125,
1.169553279876709,
0.7494863271713257,
-0.22796975076198578,
-0.8166604042053223,
-0.09962891042232513,
-0.807675838470459,
-0.41015514731407166,
-0.20292720198631... |
In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Input: Consider Input: Sentence 1: The long weekend was almost over. Sentence 2: It was time to go home. Sentence 3: Tim, May, and their parents packed up their camping supplies. Sentence 4: Tim and May had so much fun over the last few days. Sentence 5: Although they were sad to go home, they knew they'd return in spring.
Output: Going Home
Input: Consider Input: Sentence 1: Greg had several racing games. Sentence 2: But he didn't have a racing wheel. Sentence 3: So he saved up his money and bought an expensive one. Sentence 4: Initially, it was quite fun. Sentence 5: But after a week, he never used it again.
Output: Unused
Input: Consider Input: Sentence 1: Ivy looked up at the stranger sitting next to her. Sentence 2: Ivy introduced herself to the man. Sentence 3: The stranger held out his hand and gave his name as Gustav. Sentence 4: Gustav's hand enveloped Ivy's small one in a handshake. Sentence 5: Ivy and Gustav became friends.
| Output: New Friends
| 2 | NIv2 | task219_rocstories_title_answer_generation | fs_opt | [
0.0989769771695137,
0.517521321773529,
-0.21970021724700928,
-0.19046372175216675,
-0.06980893760919571,
-0.9913997054100037,
0.4783719778060913,
1.003582239151001,
-0.24200594425201416,
0.02039671316742897,
-0.8514378666877747,
0.6428846120834351,
-0.3071958124637604,
-0.3664560317993164,... |
Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios.
Problem:Elizabeth entered the bedroom. Amelia entered the bedroom. The corn is in the blue_envelope. Amelia exited the bedroom. Elizabeth moved the corn to the red_drawer. Where will Amelia look for the corn?
Solution: | blue_envelope | 8 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
0.32855483889579773,
-0.16504573822021484,
0.08360528945922852,
-0.4210170805454254,
-0.8073081374168396,
-0.3366357088088989,
-0.23844364285469055,
0.5635548830032349,
-0.32382580637931824,
-0.1340412199497223,
-0.22379331290721893,
0.4544602036476135,
-0.43275323510169983,
0.255932837724... |
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Teacher: Now, understand the problem? Solve this instance: Sentence 1: and i don't know if that's just a pure volumes number or or what but uh sometimes i think the jury is ignorant in the facts of law and how things should be determined and they're too easily swayed by their emotion Sentence 2: Juries always know the applicable laws going into the trial.
Student: | telephone | 6 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-1.2335035800933838,
0.49148231744766235,
0.2718117833137512,
-0.47375816106796265,
-0.06712318956851959,
-0.3066379129886627,
-0.2619723677635193,
0.9705295562744141,
0.004943338222801685,
-0.309015691280365,
-0.37847256660461426,
-0.02478322759270668,
-0.43140849471092224,
-0.28020024299... |
Part 1. Definition
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Part 2. Example
Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. He is one of the first American composers of international renown, though his music was largely ignored during his life, and many of his works went unperformed for many years. Over time, he came to be regarded as an "American original". He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Context_2 : Daniel Evan Freeman (born 27 April 1959) is an American musicologist who specializes in European art music of the eighteenth century, in particular the musical culture of eighteenth-century Prague and the Bohemian lands. He is also active as a pianist and music editor. Context_3 : Art music (also known as Western classical music, cultivated music, serious music, canonic music, and more flippantly, real music or normal music) is an umbrella term that refers to musical traditions, implying advanced structural and theoretical considerations and a written musical tradition. "Serious" or "cultivated" music are terms frequently used as a contrast for ordinary, everyday music (popular and folk music, also called "vernacular music"). After the 20th century, art music was divided into two extensions: "serious music" and "light music". Context_4 : In the history of European art music, the term "common practice period" refers to the era between the formation and the dissolution of the tonal system. Though there are no exact dates for this phenomenon, most features of the common-practice period persisted from the mid to late baroque period, through the Classical and Romantic periods, or roughly from around 1650 to 1900. While certain prevailing patterns and conventions characterize the music of this period, the time period also saw considerable stylistic evolution. Some conventions evolved during this period that were rarely employed at other times during what may still be labeled "common practice" (for example, Sonata Form). Thus, the dates 1650–1900 are necessarily nebulous and arbitrary borders that depend on context. The most important unifying feature through this time period concerns a harmonic language to which modern music theorists can apply Roman numeral analysis. Context_5 : The Festival Oude Muziek Utrecht ("Utrecht Early Music Festival") is an annual music festival that showcases and celebrates early European art music. The ten-day festival takes place in the Dutch city of Utrecht, and begins in August. The programme comprises concerts, activities, lectures, exhibitions, and a symposium. Context_6 : Assaf Shelleg (Hebrew: אסף שלג ), is a musicologist and pianist, a senior lecturer of musicology at The Hebrew University of Jerusalem. He was previously the Schusterman Visiting Assistant Professor of Musicology and Jewish Studies in the Department of Religious Studies at the University of Virginia (2011–14), and had taught prior to that as the visiting Efroymson Scholar in the Jewish, Islamic & Near Eastern Languages and Cultures Department at Washington University in St. Louis (2009–11). Shelleg specializes in twentieth-century Jewish and Israeli art music and has published in some of the leading journals in both musicology and Israel Studies on topics ranging from the historiography of modern Jewish art music to the theological networks of Israeli art music. Shelleg's book, "Jewish Contiguities and the Soundtrack of Israeli History", appeared in November 2014 with Oxford University Press. The book studies the emergence of modern Jewish art music in central and Western Europe (1910s-1930s) and its translocation to Palestine/Israel (1930s-1970s), exposing the legacies of European antisemitism and religious Judaism in the making of Israeli art music. Moving to consider the dislocation of modern Jewish art music the book examines the paradoxes embedded in a Zionist national culture whose rhetoric negated its pasts, only to mask process of hybridizations enchained by older legacies. "Jewish Contiguities" has won the 2015 Engle Prize for the study of Hebrew Music, and the 2016 Jordan Schnitzer Book Award. Context_7 : Vocal harmony is a style of vocal music in which a consonant note or notes are simultaneously sung as a main melody in a predominantly homophonic texture. Vocal harmonies are used in many subgenres of European art music, including Classical choral music and opera and in the popular styles from many Western cultures ranging from folk songs and musical theater pieces to rock ballads. In the simplest style of vocal harmony, the main vocal melody is supported by a single backup vocal line, either at a pitch which is above or below the main vocal line, often in thirds or sixths which fit in with the chord progression used in the song. In more complex vocal harmony arrangements, different backup singers may sing two or even three other notes at the same time as each of the main melody notes, mostly with consonant, pleasing-sounding thirds, sixths, and fifths (although dissonant notes may be used as short passing notes). Context_8 : David Wallis Reeves (February 14, 1838 – March 8, 1900), also known as D. W. Reeves or Wally Reeves, was an American composer, cornetist, and bandleader. He developed the American march style, later made famous by the likes of John Philip Sousa, and his innovations include adding a countermelody to the American march form in 1876. Sousa called Reeves "The Father of Band Music in America", and stated he wished he himself had written Reeves' "Second Regiment Connecticut National Guard March". Charles Ives also borrowed from the "Second Connecticut" on four occasions. Context_9 : "Indian classical music is one of many forms of art music that have their roots in particular regional cultures. For other "classical" and art music traditions, see List of classical and art music traditions." Context_10 : Progressive music is music that subverts genre and expands stylistic boundaries outwards. Rooted in the idea of a cultural alternative, musical progressiveness embodies a continuous move between explicit and implicit references to genres and strategies derived from various cultural domains, such as European art music, Celtic folk, West Indian, or African. The word "progressive" comes from the basic concept of "progress", which refers to development and growth by accumulation, and is often deployed in numerous music genres such as progressive country, progressive folk, progressive jazz, and (most significantly) progressive rock. fact_1 : Charles Ives also borrowed from the "Second Connecticut" on four occasions. fact_2 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. fact_3 : He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Question: What is the birthyear of the American composer that borrowed from "Second Connecticut" on four occasions and combined American popular and church-music traditions with European art music?
Answer: 1874May
Explanation: From the fact_1 from context _8, and fact _2 and fact _3 from context _1, we can arrive at 1874 May which is accurate answer of given question.
Part 3. Exercise
Context_1 : The Oktaves is a Filipino rock supergroup formed in 2011 consisting of Ely Buendia (of Eraserheads, Pupil, and The Mongols), Nitoy Adriano (of The Jerks), and Hilera members Chris Padilla, Ivan Garcia, and Bobby Padilla. The band was named after the music term "Octave", which is the interval between one musical pitch and another with half or double its frequency. This principle also mirrors the age and experience of its band members spread through three decades of Filipino music, whereas Adriano began during the 1970s, while Buendia began during the 1980s, and the rest of the younger band members began during the 1990s. Buendia also collaborated with The Jerks and Hilera on different independent projects, which also prompted him to form the band. Context_2 : Monoral is a Japanese alternative rock band signed to Sony Music Japan. The band consists of Anis Shimada on lead vocals and guitar and Ali Morizumi on bass and guitar. Context_3 : Pupil is a Filipino rock band composed of Ely Buendia on lead vocals and guitars, Dok Sergio on bass, Wendell Garcia on drums and Jerome Velasco on lead guitar. fact_1 : Pupil is a Filipino rock band composed of Ely Buendia on lead vocals and guitars, Dok Sergio on bass, Wendell Garcia on drums and Jerome Velasco on lead guitar. fact_2 : Monoral is a Japanese alternative rock band signed to Sony Music Japan. Question: Which band has more members Pupil or Monoral?
Answer: | Pupil | 7 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.6777352690696716,
0.43724822998046875,
-0.8111191391944885,
1.024903416633606,
0.568061351776123,
-0.0593726709485054,
0.6467989683151245,
0.4682855010032654,
-0.05018108710646629,
0.4527702331542969,
-0.04350467398762703,
0.4218180775642395,
-0.9574187994003296,
0.025233982130885124,
... |
Detailed Instructions: Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
See one example below:
Problem: The site collects your cookies or tracking elements for a basic service or feature. Collection happens in an unspecified way, and your data is aggregated or anonymized.
Solution: Cookies and tracking elements
Explanation: The type of user information collected is clearly stated in the given policy text as 'cookies or tracking elements'
Problem: The public does see unspecified information about you for marketing purposes.
Solution: | Unspecified | 4 | NIv2 | task684_online_privacy_policy_text_information_type_generation | fs_opt | [
-0.49286243319511414,
-0.27420127391815186,
-0.5622934103012085,
0.14943161606788635,
-0.5831090211868286,
-0.8760643005371094,
0.3704231381416321,
0.3325415551662445,
-0.1455802321434021,
0.9718705415725708,
0.6995032429695129,
-0.2373110055923462,
0.006400214042514563,
-0.263461172580719... |
Given the task definition, example input & output, solve the new input case.
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.
Example: ['8129', 'a', '4245', 'y', 'm', 'a']
Output: a, m, y
Here, the unique alphabets in the list are 'a', 'y', and 'm', hence their sorted order is 'a, m, y'.
New input case for you: ['2367', '107', 'k', 'h', 'r', 'z', 'f', 'u', 'r', '3263', '3367', 'c', 'k', '4949', 'o', 'c', '3425', 'q', 'n', 'k', 'w', '5019']
Output: | c, f, h, k, n, o, q, r, u, w, z | 1 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | fs_opt | [
-0.060060642659664154,
0.06198002025485039,
-0.3958810567855835,
-0.38061994314193726,
0.5389132499694824,
0.2704126238822937,
0.07548530399799347,
0.7059744596481323,
0.1393343061208725,
-0.13115090131759644,
-0.3987622857093811,
-0.28919869661331177,
0.25385743379592896,
-0.1687503606081... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
[EX Q]: علم أحياء الكم يجمع علماء فيزياء الكم والكيمياء الحيوية ، وعلماء البيولوجيا الجزيئية فهو مجال متعدد التخصصات للغاية.
[EX A]: Quantum biology brings together quantum physicists, biochemists, molecular biologists — it's a very interdisciplinary field.
[EX Q]: برغم أن تجار التجزئة لديهم نية لإلغاء هذه الفكرة.
[EX A]: The retailers have kind of quashed this notion though.
[EX Q]: وعدت رئيسي في العمل أن العمل الذي لم أقم بإنجازه خلال ساعات العمل ، سأقوم بإنجازه في الليل من منزلي.
[EX A]: | I promised my boss that the work I didn't get done during the day, I'd make up at night from home.
| 6 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.3844882845878601,
-0.08666162192821503,
0.1969289779663086,
-0.9798520803451538,
-0.5078496932983398,
0.08845485746860504,
0.374308317899704,
-0.288993775844574,
-0.03505264222621918,
0.074104905128479,
-0.45129621028900146,
0.5342317223548889,
-0.7183290719985962,
0.4763166904449463,
... |
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
One example: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.
Solution is here: 5
Explanation: The user really seem very satisfied with the product and gave good review worthy of 5 stars rating.
Now, solve this: I am a big hot cocoa drinker so this hot cocoa I would definitely recommend it has a great cocoa flavor and it's perfect for those cold fall or winter days. Warms you up plus tastes great!
Solution: | 5 | 6 | NIv2 | task588_amazonfood_rating_classification | fs_opt | [
0.014054642990231514,
-0.5382294058799744,
0.2523181438446045,
0.14800092577934265,
0.23670080304145813,
-0.16867943108081818,
0.6640421152114868,
0.4315582811832428,
-0.5442739129066467,
-0.03648008406162262,
-0.15251314640045166,
-0.37680763006210327,
-0.9076458811759949,
0.1069368869066... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate female and male, respectively.
M: Excuse me. How much is this suit? ,F: It's on sale today for $750. It's normally $900. ,M: Wow, that is pretty expensive! I was thinking that it might be 4 or 500. ,F: This material is imported from Italy. It's the finest in the world, and if you bought a suit made of this material at many department stores, you would pay about $2000. ,M: Uh-hah. But isn't that the point of coming to a market like this, to get a discount compared to the expensive department stores? Besides I saw a suit just like this one a few stalls down, and they were selling it for $600. I still thought that it was too expensive. ,F: It's possible that the suit you saw was the same color is this one but made of a different material. Unfortunately, our prices are final, and we think there are the lowest anywhere in the city.
(A) M: Okay, I'll buy it at the price you want. Here, it's $600. (B) M: Just a minute! I do not quite follow what you are saying, would you mind repeating that? (C) M: Although the material is imported from France, it is not worth the $750 you want. (D) M: You want $900 for the suit? It's too expensive!
Solution: B
Why? Options (A) and (B) are not corrct because the suit's price is 900. Option (C) isn't correct because the material was imported from italy.
New input: F: Welcome Mister Bates. ,M: Thank you. ,F: Can I get you a cup of tea or some water? ,M: I'm fine, I just had coffee, but thanks. ,F: Ok, well, then please take a seat. I have reviewed your application and you seem to be a good candidate for alone. ,M: Thank you. ,F: I do have a couple of questions. First, I notice that your income dropped last year, can you explain that? ,M: Yes, I started my own log company last year. For the first few months, we didn't have a lot of customers. But we have many customers now, we're on track this year to earn a large profit. ,F: I see, starting your own business is very ambitious, did you have to take out a business loan for that? ,M: No, I got help from my family and friends. ,F: Very well, so I see that you are looking to buy a $500,000 house. Will you be buying it by yourself? ,M: Yes, I'm not married. ,F: How much money will you put down on the house? ,M: 20%. ,F: All right, sir. Well, thank you for this information. I need to review this application with our senior loan officer, before we can give you a final answer. You can expect to hear from us by the end of the week.
(A) M: Bob! I will you wait you by the end of next week! (B) M: After you call my family and friends, please let me go! (C) M: Looking for your reply after you talk with the senior officer. (D) M: Excuse me, could you repeat the question?
Solution: | C | 0 | NIv2 | task611_mutual_multi_turn_dialogue | fs_opt | [
0.16270878911018372,
0.5508219003677368,
-0.528243362903595,
0.4128193259239197,
0.6297273635864258,
0.12520673871040344,
0.45385193824768066,
1.002693772315979,
-0.22133350372314453,
0.14558207988739014,
-0.36133694648742676,
0.46381574869155884,
-0.20926091074943542,
0.029966719448566437... |
A text is given in Bengali. Translate it from the Bengali language to the Oriya language. The translation must not omit or add information to the original sentence.
রাশিয়ার সহযোগিতায় ভারতে পারমাণবিক কেন্দ্র গড়ে তোলার উদ্যোগ এই ক্ষেত্রে আরেকটি সহযোগিতার উদাহরণ। | ଉଭୟ ପକ୍ଷ ମହାକାଶର ଶାନ୍ତିପୂର୍ଣ୍ଣ ଉପଯୋଗ ସଂକ୍ରାନ୍ତ ମିଳିତ ଜାତିସଂଘ କମିଟି (ୟୁଏନକୋପସ)ର ନିୟମାବଳୀ ଆଧାରରେ ସହଯୋଗକୁ ସୁଦୃଢ଼ କରିବା ଲାଗି ସହମତ ହୋଇଛନ୍ତି ଯେଉଁଥିରେ ମହାକାଶର ଦୀର୍ଘକାଳୀନ ପୋଷଣୀୟ କାର୍ଯ୍ୟକଳାପ ଓ ‘ସ୍ପେସ 2030’ କାର୍ଯ୍ୟସୂଚୀର ବିକାଶ ଓ କାର୍ଯ୍ୟାନ୍ୱୟନ ଯୋଜନା ସାମିଲ । | 0 | NIv2 | task997_pib_translation_bengali_oriya | zs_opt | [
-0.06990338861942291,
1.1660319566726685,
-0.13840891420841217,
0.432728111743927,
-0.700261116027832,
0.15543891489505768,
1.2241122722625732,
0.7817197442054749,
0.24323680996894836,
-0.3975471258163452,
-1.2161896228790283,
-0.7802179455757141,
0.07710377871990204,
0.42710381746292114,
... |
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