inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Let me give you an example: Sentence: xname is a high-priced 3 star restaurant which offers wines and cheeses. It is family friendly and is located in the City centre near the xnear. Categories: Price, Rating, familyFriendly
The answer to this example can be: price[high], rating[3 out of 5], familyFriendly[yes]
Here is why: This is a good example because it provides the appropriate information from the sentence to the requested categories.
OK. solve this:
Sentence: xname is the best restaurant because it is affordable and an Italian place. xname is in Manhattan. ; Categories: recommend, location, cuisine
Answer: | recommend[yes], location[Manhattan], cuisine[Italian] | 8 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.3591386675834656,
0.35654371976852417,
-0.6701722145080566,
-0.2161014974117279,
-0.21902653574943542,
0.7619079947471619,
1.0079416036605835,
0.9550161957740784,
0.62718665599823,
-0.42755159735679626,
0.5058858394622803,
0.22168663144111633,
-0.5933325290679932,
-0.3088386654853821,
... |
Teacher: 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)].
Teacher: Now, understand the problem? If you are still confused, see the following example:
['hey', 'everybody', 'ivan', 'from', 'weights', 'and', 'biases', 'here', 'in', 'this', 'video', "i'd"]
Solution: ['CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'CASE_DIFF', 'UNKNOWN_TYPE_DIFF', 'CASE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF']
Reason: This sentence is a good example since the input stream is a grammatically incorrect statement and the output labels correctly classify the words that were incorrect.
Now, solve this instance: ["we're", 'in', 'the', 'Museum', 'of', 'the', 'Cathedral', 'of', 'Siena', 'and', "we're", 'looking', 'at', 'one', 'of', 'the', 'great', 'seeing', 'these', 'artists', 'Pietro', 'Lorenzetti', "'he's", 'the', 'birth', 'of', 'the', 'Virgin', 'this', 'was', 'painted', 'by', 'a', 'man', 'who', 'was', 'Duccio', 'the', 'great', "Sini's", 'masters', 'student', 'and', 'some', 'scholars', 'think', 'that', 'Pietro', 'helped', 'do', 'CHEO', 'paint', 'the', 'Maya', 'stuff', 'huh', "there's", 'a', 'lot', 'of', 'paintings', 'and', 'the', 'mayest', 'I', 'hope', 'someone', 'else', "it's", 'true', 'this', 'is', 'a', 'painting', 'that', 'would', 'have', 'functioned', 'as', 'a', 'secondary', 'altarpiece', 'in', 'the', 'Siena', 'Cathedral', 'it', 'is', 'a', 'three-part', 'painting', 'it', 'actually', 'shows', 'one', 'continuous', 'space', 'well', 'in', "let's"]
Student: | ['NO_DIFF', 'NO_DIFF', 'NO_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', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'UNKNOWN_TYPE_DIFF', 'UNKNOWN_TYPE_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'STEM_BASED_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF'] | 2 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.32244205474853516,
0.02745387889444828,
0.037987709045410156,
0.21756944060325623,
0.2948543429374695,
-0.636322557926178,
0.35365673899650574,
0.8778521418571472,
-0.08912281692028046,
0.36334532499313354,
0.4871582090854645,
-0.08155372738838196,
-0.12869063019752502,
0.185672998428344... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
--------
Question: Category: HUMANITARIAN LADIES
Clue: Throughout the 1930s, she taught geography at St. Mary's High School in Eastern India
Answer: mother theresa
Question: Category: THE CRUCIBLE
Clue: Crucibles are sometimes made out of this ceramic material made by firing pure clay
Answer: porcelain
Question: Category: MUSICAL INSTRUMENTS
Clue: Often played with drums, it's held horizontally, has 6 finger holes & was developed in Switzerland
Answer: | the fife
| 7 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
-0.2114797681570053,
0.7937471270561218,
-0.5457999110221863,
-0.13215667009353638,
-0.40410926938056946,
0.07028771936893463,
0.10176839679479599,
0.16291818022727966,
-0.0219569094479084,
-0.2523624897003174,
0.28239792585372925,
1.1561872959136963,
-0.6930548548698425,
-0.34260424971580... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: ギボンズの写真がある新聞が燃やされ、外国の報道関係者は脅され、避難を余儀なくされた。
Khamer: កាសែតបានដាក់រូបលោកស្រីជីបប៊ននៅក្នុងភ្លើង ហើយអ្នកកាសែតបរទេសត្រូវ បានគំរាមហើយបង្ខំឲចេញ។ | Yes | 0 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.692773699760437,
-0.3455650210380554,
0.2059198021888733,
0.626434326171875,
0.2915578782558441,
-0.8110051155090332,
0.828027606010437,
0.054610222578048706,
-0.6936632394790649,
-0.19335900247097015,
-0.16942918300628662,
0.06673486530780792,
-0.8023817539215088,
0.7287706136703491,
... |
Teacher:Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Teacher: Now, understand the problem? Solve this instance: Personality: I work two jobs as a cashier.
I love dark clothes.
I love Non Gmo foods.
Favorite band is red hot chilli peppers.
I love cold weather.
Chat history: -Hi hows it going hope youre doing well.
-Pretty good. Getting ready to head out to my second job. You?
-I work with animals. I'm a vet.
-Oh that sounds like a rewarding career! How are you liking this weather?
-Not very much but its great.
Student: | I love it! I'm so over the heat. | 6 | NIv2 | task1729_personachat_generate_next | zs_opt | [
-1.0740890502929688,
-0.007450581062585115,
-0.18178728222846985,
0.3186027705669403,
-0.25569063425064087,
-0.06118752807378769,
0.3834441900253296,
0.24127843976020813,
0.06293835490942001,
-0.1002657413482666,
-0.13114002346992493,
-0.683089017868042,
-0.41843122243881226,
-0.1417337954... |
You will be given a definition of a task first, then some input of the task.
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context. The original ending is the last three sentences of the story. Also, you are given a new ending that can provide the new story with the same premise. You should write a counterfactual context to explain the small differences between the original and new endings. More specifically, a story context contains the general plot of the story. And a counterfactual context is a slight modification to the initial context. To sum up, you should write the second sentence of a story based on the premise(first sentence) and the new ending(last three sentences) of the story.
Premise: Lynn got in a fight with the popular clique.
Initial Context: They kicked her out of their group.
Original Ending: At first Lynn was terrified of being exiled. But then she began sitting with the artsy kids in school. Slowly, Lynn realized she didn't even need the popular clique!
New ending: She was terrified at what they had done to her. Then she began sitting with the artsy kids in school. Slowly, Lynn realized she didn't even need the popular clique!
Output: | They made out with her afterwards. | 1 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.10459644347429276,
0.05324121564626694,
0.3902774155139923,
-0.0026833454612642527,
0.3008166551589966,
-0.465986967086792,
-0.32602444291114807,
0.9394164085388184,
-0.11446741223335266,
-0.12076936662197113,
-0.24025645852088928,
-0.37410682439804077,
-0.26974251866340637,
-0.107733123... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
One example is below.
Q: Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmente a acelerar a uma taxa 4 vezes superior à Lei de Moore.
A: Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocemente del tasso previsto dalla Legge di Moore.
Rationale: The Portugese sentence is correctly translated into Italian, because the meaning is preserved.
Q: LAMTA tem usado gás natural durante 25 anos.
A: | [L'azienda di trasporti] LAMTA è andata a gas naturale per 25 anni. | 9 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.4903404712677002,
1.5341345071792603,
0.13225257396697998,
-0.2102603018283844,
-0.026865269988775253,
-1.2462574243545532,
-0.731827974319458,
1.504372000694275,
-0.6678972244262695,
-0.15747055411338806,
-0.6497321128845215,
0.381367564201355,
-0.1956774741411209,
-0.34458452463150024... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Example input: Afinal de contas elas é que decidem, e decidiram mesmo.
Example output: אחרי הכל, הם החליטו, והם עשו,
Example explanation: The Portugese sentence is correctly translated into Hebrew, because the meaning is preserved.
Q: Comecei a pesquisar literatura científica sobre como estes centrifugadores são realmente construídos em Natanz e descobri que eles são estruturados naquilo a que se chama uma cascata, e cada cascata contém 164 centrifugadoras.
A: | התחלתי לחקור ספרות מדעית על איך הצנטריפוגות האלה בנויות בנתנז ומצאתי שהן מובנות במה שנקרה סדרה, וכל סדרה מכילה 164 צנטריפוגות. | 3 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
0.2209821492433548,
0.6752211451530457,
0.2882460951805115,
0.09176547825336456,
-0.29324689507484436,
-0.6724313497543335,
0.7325344681739807,
0.15430092811584473,
0.2881755232810974,
-0.020704008638858795,
-0.6427784562110901,
0.0714990571141243,
-0.8423987627029419,
-0.16317003965377808... |
You will be given a definition of a task first, then some input of the task.
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.
Passage: After I finished washing all the dishes I had to empty the kitchen sink . The first thing to do was to carefully put away all the knives . One of them had more dirt on it still so I had to wash it again . Then I put away the plates and the bowels . Soon I was left with some pots and pans to put away . When I finished with all of that I let the water drain from the sink . I wanted it to look nice and clean just like all the dishes . After emptying out the sink I wiped down the edges with a dry towel and cleaned the faucet so it was n't covered in water . I enjoy having it look nice . Question: What was put away second? Option1: Pots and pans Option2: Plates and bowls
Output: | Plates and bowls | 1 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.5054040551185608,
0.4285638630390167,
-0.4160819947719574,
0.46297815442085266,
0.33274683356285095,
-0.3112452030181885,
0.1515503227710724,
0.6272965669631958,
-0.36777618527412415,
0.1734173595905304,
0.3728795349597931,
-0.04388780891895294,
-0.5414190888404846,
-0.18123115599155426,... |
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.
Let me give you an example: [3, 0, 3, 8]
The answer to this example can be: [3, 3]
Here is why: Zero and eight are removed from the input list because they are even numbers, and because three appeared twice in the input list, it appears twice in the output list. So this is a good example.
OK. solve this:
[16, 185, 154]
Answer: | [185] | 8 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.19862687587738037,
0.10491456091403961,
-0.5724533200263977,
-0.5723719000816345,
0.39497220516204834,
-0.3136526346206665,
1.064059853553772,
0.3719012439250946,
-0.6261091232299805,
0.1638011336326599,
-0.6733816862106323,
0.26670145988464355,
-0.35467177629470825,
-0.9184708595275879... |
Teacher:In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. For example, X may get hugged, and Y may blush in response. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Teacher: Now, understand the problem? Solve this instance: Head: PersonX adopts PersonY attitude<sep>Tail: smiles
Student: | No | 6 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.19286422431468964,
0.28836286067962646,
0.5570635795593262,
-0.5814582705497742,
-0.5750935673713684,
-0.818488597869873,
1.0717978477478027,
0.35990458726882935,
-0.16485841572284698,
-0.5281104445457458,
-0.2779662013053894,
-0.12564602494239807,
-0.49619975686073303,
0.044664405286312... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
One example is below.
Q: पहले दो को अविश्वसनीय मानकर बाकी पांच मुखबिरों के आधार पर मुकदमा चलाया गया|
A: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
Rationale: Hindi sentence is properly converted into English sentence because the input also says that the first two were judged to be untrustworthy, thus the prosecution relied heavily on the testimony of the remaining five approvers. Also, the translated sentence is in a sentence case.
Q: अंतत : सन् 1939 में , भारत में इंजन निर्माण की संभावनाओं पर रिपोर्ट करने के लिए एक कमेटी भी बनायी गयी ।
A: | Finally , in 1939 , a committee was set up to report on the feasibility of locomotive manufacture in India . | 9 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
0.21494419872760773,
0.257766991853714,
0.6141806244850159,
0.3504839241504669,
0.4986625015735626,
-0.39576980471611023,
-0.01886925846338272,
0.8682810068130493,
-0.2766115367412567,
-0.21168595552444458,
-1.0245230197906494,
-0.1799565851688385,
-0.20698028802871704,
0.15418419241905212... |
Definition: A text is given in English. Translate it from the English language to the Tamil language. The translation must not omit or add information to the original sentence.
Input: With this road constructed at a cost of approximately Rs. 760 crores, the vehicles travelling to and from Gorakhpur, Lucknow, Azamgarh and Ayodhya will not have to enter the city.
Output: | 760 கோடி மதிப்பீட்டில் கட்டப்பட்டுள்ள இச்சாலையினால், கோரக்பூர், லக்னோ, ஆசாம்கர் மற்றும் அயோத்யா ஆகியவற்றுக்கு சென்று வரும் வாகனங்கள் நகருக்குள் நுழைய வேண்டியதில்லை. | 2 | NIv2 | task991_pib_translation_english_tamil | zs_opt | [
-0.3198249340057373,
0.6648920774459839,
0.8886222243309021,
0.13907867670059204,
0.32836857438087463,
-0.3271414041519165,
-0.35611817240715027,
0.3414299190044403,
-0.2812570035457611,
-0.2520267367362976,
-0.005738213658332825,
0.3791522979736328,
-0.5190284252166748,
-0.017770875245332... |
Given the task definition and input, reply with output. Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Verify if the sentiment of the following document towards the entity Marty Hurney is Negative . Panthers COO Tina Becker said Hurney did an "exceptional" job in helping the Panthers to an 11-5 season last year.
| no | 5 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-0.8284950256347656,
-0.25667864084243774,
0.027510616928339005,
0.46870923042297363,
-0.21835720539093018,
-1.0207066535949707,
0.6261069774627686,
-0.4623308777809143,
0.21413059532642365,
0.15042302012443542,
-0.3218879997730255,
-0.03706255555152893,
-0.3138217329978943,
-0.05628056079... |
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follow-up questions on the user's command. Answer with "User" or "Agent".
Example Input: Add Elli to the Dart game on Nov 8th last year.
Example Output: user
Example Input: the first is good
Example Output: user
Example Input: These are not what I want
Example Output: | user
| 3 | NIv2 | task1599_smcalflow_classification | fs_opt | [
-0.30951911211013794,
0.2613431215286255,
-0.5216012001037598,
-0.17348787188529968,
-0.29399195313453674,
-0.17262282967567444,
0.7429214715957642,
-0.3352794945240021,
0.19900944828987122,
-0.19344204664230347,
-0.3149150609970093,
-0.12373903393745422,
-1.1675939559936523,
0.17991515994... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
Problem:04 କୋଟି ଟଙ୍କାର ଅର୍ଥରାଶି ଆକାଶବାଣୀରେ ବର୍ତମାନରେ ଚାଲିଥିବା ଯୋଜନା ଲାଗି ମଞ୍ଜୁର କରାଯାଇଛି ଏବଂ 619.
Solution: | His work towards rural development was noteworthy. | 8 | NIv2 | task988_pib_translation_oriya_english | zs_opt | [
0.028048859909176826,
1.566112756729126,
-0.0861881822347641,
0.004360706079751253,
-0.5998904705047607,
-0.4372897148132324,
0.45076650381088257,
0.6362988352775574,
0.008634678088128567,
-0.24839940667152405,
0.1539427787065506,
-0.30115386843681335,
0.484980970621109,
-0.157971292734146... |
Teacher: In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Your sentence should be grammatically and syntactically correct. Also stick to the context of the given story. For example, if the story talks about "doctors", you can talk about "health" or "diagnosis", but don't mention "aliens". Avoid introducing any extra/irrelevant information, and use names instead of pronouns (e.g. he / she) wherever possible. Avoid simply negating the original middle, for example: "She likes cakes." is changed to "She doesn't like cakes."
Teacher: Now, understand the problem? If you are still confused, see the following example:
Beginning: Lauren finished her late night shift at the bar feeling tired. Middle: Lauren took a long hot bath when she got home. Ending: Lauren's husband was glad to see her feeling refreshed.
Solution: Lauren's husband took a long hot bath when he got home.
Reason: If a person takes a bath, another person's tiredness is not reduced.
Now, solve this instance: Beginning: Ted earned some vacation days at work he wanted to use. Middle: Ted went to Arizona and visited nature. Ending: He had a memorable vacation at the Grand Canyon.
Student: | Ted did not go to Arizona and visited nature. | 2 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.057068128138780594,
0.14312121272087097,
-0.42547085881233215,
-0.17752110958099365,
-0.20040805637836456,
-0.20914675295352936,
-0.11459767818450928,
0.6010951995849609,
-0.4676578640937805,
-0.5924890041351318,
-0.32069236040115356,
0.10564659535884857,
-0.4186937212944031,
-0.71509975... |
Teacher: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Teacher: Now, understand the problem? If you are still confused, see the following example:
We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequence model. Large-Scale Chinese Short Text Summarization Dataset (LCSTS) is constructed by BIBREF1 . The dataset consists of more than 2.4 million text-summary pairs in total, constructed from a famous Chinese social media microblogging service Weibo.
Question: Are results reported only for English data?
Solution: No
Reason: Based on the context, the dataset is constructed from a famous Chinese social media microblogging service Weibo.
Now, solve this instance: BIBREF12 found in a Chinese corpus that the word label "End" has a better performance than "Begin". This motivates us to carry out a backward greedy search over each sentence's label sequence to identify word boundaries. If two words segmented in a sentence are identified as nouns, and one word is immediately before the other, we assemble their boundaries, creating a new word candidate for entity recognition. This strategy has the advantage to find named entities with long word length. It also reduces the influence caused by different segmentation criteria.
Question: What boundary assembling method is used?
Student: | This motivates us to carry out a backward greedy search over each sentence's label sequence to identify word boundaries. If two words segmented in a sentence are identified as nouns, and one word is immediately before the other, we assemble their boundaries, creating a new word candidate for entity recognition. | 2 | NIv2 | task460_qasper_answer_generation | fs_opt | [
-0.274842232465744,
0.12326660752296448,
-0.17392221093177795,
-0.6166725158691406,
-0.0017583193257451057,
-0.05485071241855621,
0.502093493938446,
0.6051585078239441,
-0.02375032939016819,
0.019347134977579117,
-0.4336965084075928,
0.2915591299533844,
-0.039447106420993805,
0.66138041019... |
Definition: 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: Blood type is important for medical reasons.
Output: | blood type a b o. | 2 | NIv2 | task036_qasc_topic_word_to_generate_related_fact | zs_opt | [
0.33962857723236084,
0.49637994170188904,
-0.4472077786922455,
0.36109912395477295,
-0.20238256454467773,
-0.600912868976593,
0.46062666177749634,
0.28755396604537964,
0.45945027470588684,
-0.9763848781585693,
-0.8420661687850952,
0.5341853499412537,
-0.4853358268737793,
0.2201782315969467... |
A text is given in Tamil. Translate it from the Tamil language to the Malayalam language. The translation must not omit or add information to the original sentence.
Q: ii. 2024 வரை ஐந்தாண்டுகளுக்கு செயல்படுத்தக் கூடிய பல கட்ட உற்பத்தித் திட்டம் இந்தியாவில் பெருமளவிலான, ஏற்றுமதிக்கு உகந்த ஒருங்கிணைந்த பேட்டரிகள் மற்றும் செல்கள் தயாரிப்புக்கான மாபெரும் திட்டங்களுக்கு உதவி செய்தல்
A: | 2) വന്കിട കയറ്റുമതി-മത്സരാധിഷ്ഠിത സംയോജിത ബാറ്ററികളും സെല് ഉല്പ്പാദക ജിഗാ പ്ലാന്റുകള് ഇന്ത്യയില് ആരംഭിക്കുന്നതിനായി 2024 വരെയുള്ള അഞ്ചുവര്ഷം നീണ്ടുനില്ക്കുന്ന ഘട്ടം ഘട്ടമായ ഉല്പ്പാദന പദ്ധതി (പി. | 4 | NIv2 | task1000_pib_translation_tamil_malayalam | zs_opt | [
0.032211169600486755,
0.8893079161643982,
-0.3658451437950134,
0.1991187185049057,
-0.4141605496406555,
-1.1947513818740845,
0.08322122693061829,
0.9609147310256958,
-0.8810433149337769,
0.6267281770706177,
-1.0654747486114502,
0.41396960616111755,
-0.16022241115570068,
0.11056192964315414... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
One example is below.
Q: Monterey is one of those.
A: מונטריי היא אחת מהם.
Rationale: The English sentence is correctly translated into Hebrew. The city `Monterey` is correctly translated as `מונטריי`.
Q: And it's only by stepping back, and then further back, and holding still, that we can begin to see what the canvas means and to catch the larger picture.
A: | ורק על ידי צעד לאחור, ולאחר מכן עוד יותר אחורה, ולעמוד בשקט, אנחנו נתחיל לראות מה הכוונה בבד ולראות את התמונה הגדולה. | 9 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
0.176791250705719,
0.6590877175331116,
0.6173500418663025,
-0.5684484243392944,
-0.11543814837932587,
-0.6543287038803101,
0.2821468710899353,
0.33007925748825073,
1.0536222457885742,
-0.405558705329895,
0.06428547203540802,
0.24448195099830627,
-0.7049871683120728,
0.21944524347782135,
... |
Definition: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Input: Sentence 1: Man sitting atop oil rig on machine working. Sentence 2: The man is sitting on a couch.
Output: | C | 2 | NIv2 | task190_snli_classification | zs_opt | [
-0.4730517566204071,
0.3472186028957367,
0.34628385305404663,
-0.5012027025222778,
0.2296248972415924,
-0.4679471254348755,
0.42980146408081055,
0.6910054683685303,
0.49737924337387085,
0.07164773344993591,
-0.2982730567455292,
-0.778426468372345,
0.14557552337646484,
-0.20217442512512207,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Więc czym były te "" gierki "", które maskowały cały ten problem? | اون چيزهايي كه باعث اين مخفى كارى شدند چى بودند ؟ | 0 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
-1.2075188159942627,
0.6098775267601013,
-0.5819399952888489,
-0.28298765420913696,
-0.3941083550453186,
0.5449525117874146,
1.1765201091766357,
-0.2428489327430725,
0.35167571902275085,
-0.4047938585281372,
-0.974052906036377,
0.31983277201652527,
-0.6851315498352051,
0.2961995005607605,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
To remain consistent with experiments performed with LSTM's we use the morfessor for the subword tokenization in the Finnish Language.
Output: | Is the LSTM baseline a sub-word model? | 1 | NIv2 | task461_qasper_question_generation | zs_opt | [
-0.6317893862724304,
0.6828480362892151,
0.04831429570913315,
-0.4571717381477356,
-0.34065407514572144,
0.45440325140953064,
0.25855106115341187,
0.7532636523246765,
-0.05463669076561928,
-0.4940524697303772,
-0.2853301763534546,
0.7739338874816895,
-0.40729227662086487,
0.482542574405670... |
Definition: 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.
Input: turn opposite left thrice after walk right thrice
Output: | I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT | 2 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
0.14506006240844727,
0.36641544103622437,
-0.40734630823135376,
0.14501819014549255,
0.18110601603984833,
-0.1374252736568451,
0.31415271759033203,
0.03362133726477623,
-0.001204855041578412,
-0.027922075241804123,
-0.6894814968109131,
-0.15247821807861328,
-0.6333911418914795,
-0.11394801... |
Instructions: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay special attention to the marked number, think about what (unwritten) information the marked number holds inside, choose the most adequate word(s) from the optional answers. If none of them seems right to you, there's also an option for other. If your answer is "REFERENCE", also write the reference entity, otherwise write the implicit option name. Options to choose from are:
REFERENCE: Some object which is being mentioned in the text before or after the target number. The reference answer has a higher priority than any other. If both Reference and another answer are possible, prioritize the Reference.
YEAR: Describing a calendric year
AGE: Describing someone's age
CURRENCY: Reference to some monetary value e.g dollar, euro etc.
PEOPLE: Describing a single/plural persons
TIME: Describing a time of the day. Usually you can add the word o'clock after those numbers.
OTHER: Some other option, which isn't listed here.
Input: Joseph Severn: Among the many requests he has made of me , this is the principle : that on his gravestone shall be this inscription - Here lies _ one _ whose name was writ in water .
Output: | PEOPLE | 3 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
-0.1785324066877365,
0.9536097049713135,
-0.6070220470428467,
-0.049710117280483246,
-0.45250338315963745,
-0.5645009279251099,
1.5454514026641846,
0.8765826225280762,
0.18727822601795197,
-0.16467219591140747,
-0.17474676668643951,
0.5908865928649902,
-0.4059557318687439,
0.01092120539397... |
Detailed Instructions: 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.
Problem:['6867', '9697', '2677', '6385', 'h', 'q', 'h', 'w', 'e', '9431', '1783', 'v', 'c', '4463', '1025', '2919', '7083', '2061', 'j', 'k', 'v', '1231', '1697']
Solution: | c, e, h, j, k, q, v, w | 8 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.5533125996589661,
0.39475154876708984,
0.3293357193470001,
-0.38685864210128784,
-0.041166797280311584,
0.05262666195631027,
0.9705817699432373,
-0.03086002916097641,
-0.5795235633850098,
0.31514349579811096,
-0.2974351644515991,
-0.3477644920349121,
0.1199425533413887,
-0.1147273033857... |
A text is given in Oriya. Translate it from the Oriya language to the Tamil language. The translation must not omit or add information to the original sentence.
Example input: பிரதமர் நரேந்திர மோடி, ரஷ்ய அதிபர் விளாடிமிர் புதின் மற்றும் சீன அதிபர் ஸீ ஜின்பிங்க் ஆகியோருடன் பியூனஸ் அயர்ஸ் நகரில் இன்று (30
Example output: ପ୍ରଧାନମନ୍ତ୍ରୀ ନରେନ୍ଦ୍ର ମୋଡି ଆଜି Russian ଷିଆ ଚାମେଲୋଲର ଭ୍ଲାଡିମିର୍ ନୂତନ ଏବଂ ଚାଇନିଜ୍ ଚାନ୍ସେଲର୍ ଜାଇନ୍ (30) ଦେଖନ୍ତି |
Example explanation: Correct translation for given sentence. Input sentence means 'Prime Minister Narendra Modi today, the Russian Chancellor Vladimir New and Chinese Chancellor See Zining (30' which is the same as the output sentence.
Q: இருநாடுகளுக்கும் இடையே இருதரப்பு ஒத்துழைப்பை வலுப்படுத்தவும் இந்த புரிந்துணர்வு ஒப்பந்தம் உதவும்.
A: | ପ୍ରଧାନମନ୍ତ୍ରୀ ଶ୍ରୀ ନରେନ୍ଦ୍ର ମୋଦୀ ନବରୋଜ ଅବସରରେ ଅଭିନନ୍ଦନ ଜଣାଇଛନ୍ତି । | 3 | NIv2 | task1074_pib_translation_tamil_oriya | fs_opt | [
-0.3915179967880249,
0.5084182024002075,
-0.361947238445282,
0.029828770086169243,
0.47983235120773315,
-0.2241699993610382,
0.24679940938949585,
0.17006762325763702,
0.43363502621650696,
0.1723734736442566,
-0.5385648012161255,
-0.18887624144554138,
0.30273014307022095,
0.2012797594070434... |
instruction:
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
question:
Był to niezwykły przywilej i cudowna nauka.
answer:
لقد كان شرفا ملحوظا و مصدر تعليم مدهش.
question:
Nie mamy się tu z kim porównać, jako jedyne zwierzę, które chodzi wyprostowane, na dwóch nogach.
answer:
في هذه الحالة لا يوجد حيوان اخر ليقارن به لاننا الحيوانات الوحيدة التي تمشي على قدمين
question:
Weźcie głęboki oddech.
answer:
| إذن لنتمهل قليلاً
| 9 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.6083260178565979,
0.36852067708969116,
-0.18220749497413635,
-0.7110183238983154,
-0.49774354696273804,
-0.1087886318564415,
0.9983041286468506,
-0.5871743559837341,
0.3901825249195099,
-0.7160786390304565,
-0.7730789184570312,
0.3737472593784332,
-0.4547047019004822,
0.2847493290901184... |
Teacher: In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Ulwakhiwo neempawu zentsinga zemifuno.
Solution: Construction and characteristics of vegetable fibre cordage.
Reason: 'Ulwakhiwo neempawu' means construction/make-up and characteristics, 'zentsinga zemifuno' roughly translates to 'of fibre from vegetables'.
Now, solve this instance: Kutshiwo njalo xa ithe i-ankile yakude ngaphantsi.
Student: | Said of the anchor when just clear of the bottom. | 2 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | fs_opt | [
0.028927378356456757,
0.0917421281337738,
0.594847559928894,
-0.14130723476409912,
-0.3118687868118286,
-0.8534321784973145,
1.2512056827545166,
0.11479320377111435,
-0.19415238499641418,
0.03298339992761612,
0.08974676579236984,
-0.1697360873222351,
-0.9949319362640381,
-0.032024115324020... |
Given the task definition and input, reply with output. Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: SpaceXは現在、その場所で5年間リース契約している。
Khamer: វគ្គហ្វឹកហាត់អភិវឌ្ឍន៍វោហាដែលត្រូវគេហៅថា"វេទិកាព្រំដែន"ត្រូវយកសំអាងក្នុងបណ្តឹងរើសអើនលក្ខណៈសាសនានៅតុលាការសហរដ្ឋនៅញូវយ៉កនិងវ៉ាស៊ីនតោន ឌី ស៊ី។
| No | 5 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.8833038210868835,
0.008200449869036674,
-0.15192635357379913,
-0.2618785500526428,
-0.06084509566426277,
0.07919003069400787,
0.6160843372344971,
0.4222491383552551,
0.014025229029357433,
-0.37334156036376953,
0.2744176685810089,
0.2143225371837616,
-0.6060081124305725,
0.47158944606781... |
Given the task definition and input, reply with output. You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.
User: Find information about mad cow disease symptoms in humans.
Computer: would you like to hear about treatments
| no tell me about the signs and symptoms | 5 | NIv2 | task1714_convai3_sentence_generation | zs_opt | [
-0.22787174582481384,
0.4663549065589905,
-0.2655935287475586,
-0.21445047855377197,
0.1741865575313568,
0.2944406270980835,
0.4011605381965637,
0.4704520106315613,
0.4346786141395569,
0.18571621179580688,
-0.3865746855735779,
-0.401437371969223,
0.059993401169776917,
0.26987409591674805,
... |
You will be given a definition of a task first, then some input of the task.
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it should feel like it is written by younger person without high level of literature education.
Cruel World
Output: | in this cruel cruel world beauty be the flavor of chew gum it do not last long it start out strong but begin to fade rapidly and once it fade it never return leave you with a flavorless glob of rubber | 1 | NIv2 | task1711_poki_text_generation | zs_opt | [
-1.0603137016296387,
1.7870208024978638,
0.35448646545410156,
-0.678889274597168,
-0.5595425367355347,
-0.17746618390083313,
0.3759695291519165,
0.3259301781654358,
0.06964001059532166,
-0.4782419800758362,
-0.7959617376327515,
0.1428108662366867,
-0.24382655322551727,
-0.07217026501893997... |
Teacher: Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context and the story's general plot. The original ending is the last three sentences of the story. Also, a counterfactual context is a slight modification to the initial context. You should write a new story ending that edits the original story ending as little as possible to regain coherence with the counterfactual context. To sum up, you should write the last three sentences of a story based on the premise(first sentence) and the counterfactual context(second sentence) of the story.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Premise: Susie was sitting on her barstool.
Initial Context: She kept kicking the counter with her feet.
Original Ending: Suddenly, her kick sent her falling backwards. The chair hit the ground with a thud and broke. Susie hurt her head and was really scared.
Counterfactual Context: She kept herself steady with her feet.
Solution: Suddenly, an earthquake sent her falling backwards. The chair hit the ground with a thud and broke. Susie hurt her head and was really scared.
Reason: The generated new ending is perfect. It considers the counterfactual context and changes required parts in original ending.
Now, solve this instance: Premise: The dog knew that something was up when her master put her in the car.
Initial Context: The whole car trip, she was nervous and anxious.
Original Ending: She knew she wasn't going to the park. When she saw the vet's office, she knew it was going to be a bad day. The vet wasn't as bad as she thought, and they went to the park after.
Counterfactual Context: The whole car trip, she was nervous and anxious but will never go to the vet.
Student: | She knew she was probably going to the vet and didn't really have a choice about it. When she saw the vet's office, she knew it was going to be a bad day. The vet wasn't as bad as she thought, and they went to the park after. | 2 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.1618732511997223,
0.04435674846172333,
-0.02845943532884121,
0.4056691825389862,
0.3144787549972534,
-1.179720163345337,
-0.0878816694021225,
1.3020637035369873,
0.14542393386363983,
-0.13232943415641785,
-0.3415677547454834,
-0.02825998142361641,
0.019231215119361877,
0.1906177997589111... |
Detailed Instructions: In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Q: Sentence: 'two girls sitting on chairs using remote controls'. Reverse all words of length '5' in the given sentence.
A: | two slrig sitting on chairs gnisu remote controls | 9 | NIv2 | task378_reverse_words_of_given_length | zs_opt | [
-0.3932049572467804,
0.8275995254516602,
-0.22765570878982544,
-0.5490984916687012,
-0.05130200833082199,
-0.023858074098825455,
0.5311216115951538,
0.6991630792617798,
0.6528078317642212,
-0.03945103660225868,
-1.0472522974014282,
-0.1650719940662384,
-0.1564415991306305,
-0.0833592563867... |
Teacher:In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Teacher: Now, understand the problem? Solve this instance: Question: When was the publishing body that put out Sluyter's book in 2012 established? Passage:Andrew Sluyter is an American social scientist who currently teaches as a professor in the Geography and Anthropology Department of the Louisiana State University in Baton Rouge. His interests are the environmental history and historical, cultural, and political ecology of the colonization of the Americas. He has made various contributions to the theorization of colonialism and landscape, the critique of neo-environmental determinism, to understanding pre-colonial and colonial agriculture and environmental change in Mexico, to revealing African contributions to establishing cattle ranching in the Americas, and to the historical geographies of Hispanics and Latinos in New Orleans. With the publication of Black Ranching Frontiers: African Cattle Herders of the Atlantic World, 1500–1900 (Yale University Press, 2012) and a 2012–13 Digital Innovation Fellowship from the American Council of Learned Societies, he has joined a growing number of scholars from multiple disciplines working from the perspective of Atlantic History and using the tools of the Digital Humanities. His latest book, Hispanic and Latino New Orleans: Immigration and Identity since the Eighteenth Century (LSU Press, 2015), co-authored with Case Watkins, James Chaney, and Annie M. Gibson, was awarded the 2015 John Brinckerhoff Jackson Book Prize by the American Association of Geographers.
Student: | With the publication of Black Ranching Frontiers: African Cattle Herders of the Atlantic World, 1500–1900 (Yale University Press, 2012) and a 2012–13 Digital Innovation Fellowship from the American Council of Learned Societies, he has joined a growing number of scholars from multiple disciplines working from the perspective of Atlantic History and using the tools of the Digital Humanities | 6 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
-0.4238571524620056,
-0.2571204900741577,
-0.07174275815486908,
-0.07420868426561356,
-0.2621158957481384,
-0.040326766669750214,
-0.49481627345085144,
0.7426716685295105,
-0.056667979806661606,
0.27423757314682007,
0.16655395925045013,
-0.08886178582906723,
-0.8933209180831909,
-0.4573932... |
Detailed Instructions: 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.
See one example below:
Problem: 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.
Explanation: The sentence says that "the Democrats" have to be appeased, which answers the question. So, the correct label should be "Yes".
Problem: Sentence: Also of note is the Moti Azima Gallery, located in a three storied building in Bhimsenthan which contains an impressive collection of traditional utensils and handmade dolls and items typical of a medieval Newar house, giving an important insight into Nepali history.
Question: The Moti Azima Gallery contains objects that might be found in a Nepalese house of what time period?
Solution: | Yes. | 4 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.35963162779808044,
-0.29048094153404236,
0.0013479673070833087,
0.689182698726654,
-0.4303979277610779,
-1.5842888355255127,
0.4773196578025818,
0.31767943501472473,
-0.23338893055915833,
-0.0721060261130333,
-0.43496888875961304,
0.4704316258430481,
-0.4215867817401886,
0.2577826976776... |
A text is given in Hindi. Translate it from the Hindi language to the Oriya language. The translation must not omit or add information to the original sentence.
बात वहॉं नहीं हो सकती थी।
3) ଆରୋକିଆ ରାଜୀବ (ଦୌଡକୁଦ)
सम्मेलन के दूसरे दिन अधिकारियों ने समालोचना सम्बन्धी फासलों, सुगम्य चुनाव, युवा और लिंग, चुनाव सम्बन्धी साक्षरता क्लब, साझेदारी और स्वेच्छा से कार्य तथा सोशल मीडिया के इस्तेमाल के बारे में चर्चा की और स्वीप के अगले चरण के लिए रणनीति तैयार की।
ଏହି କ୍ଷେତ୍ରରେ ବହୁପକ୍ଷୀୟ ରାଜନୈତିକ, ନିରାପତ୍ତା, ଅର୍ଥନୈତିକ ଏବଂ ଜନ ଯୋଗାଯୋଗକୁ ପ୍ରୋତ୍ସାହିତ କରିବା ଲାଗି ଆମେ ଏସସିଓ ପ୍ରତି ସ୍ୱତନ୍ତ୍ର ଗୁରୁତ୍ୱାରୋପ କରୁଛୁ ।
3. जम्मू-कश्मीर में संसदीय निर्वाचन क्षेत्र (3-अनंतनाग) के संदर्भ में क्रम संख्या 3, 4 और 5 के विवरण में अधिसूचना जारी करने की तिथि, नामांकन दाखिल करने की अंतिम तिथि, नामांकन की जांच और उम्मीदवारी वापस लेने की अंतिम तिथि 28 मार्च, 2019, 04 अप्रैल, 2019, 05 अप्रैल, 2019 और 08 अप्रैल, 2019 को क्रमशः 23 अप्रैल, 2019, 29 अप्रैल, 2019 और 06 मई, 2019 पढ़ें।
| ଦାଦ୍ରା ଓ ନଗର ହାଭେଳୀ (ଦେୱାନୀ ନ୍ୟାୟାଳୟ ଏବଂ ବିବିଧ ବ୍ୟବସ୍ଥା) ସଂଶୋଧନ ନିୟାମକ, 2019କୁ କ୍ୟାବିନେଟ ମଞ୍ଜୁରି ସମ୍ବିଧାନର ଅନୁଚ୍ଛେଦ 240 ଅନ୍ତର୍ଗତ ପ୍ରଧାନମନ୍ତ୍ରୀ ଶ୍ରୀ ନରେନ୍ଦ୍ର ମୋଦୀଙ୍କ ଅଧ୍ୟକ୍ଷତାରେ ଅନୁଷ୍ଠିତ କେନ୍ଦ୍ର କ୍ୟାବିନେଟ ଡାମନ ଏବଂ ଡିଉ ଦେୱାନୀ ନ୍ୟାୟାଳୟ (ସଂଶୋଧନ) ନିୟାମକ, 2019 ଏବଂ ଦାଦ୍ରା ଏବଂ ନଗର ହାଭେଳୀ (ଦେୱାନୀ ନ୍ୟାୟାଳୟ ଏବଂ ବିବିଧ ବ୍ୟବସ୍ଥା) ସଂଶୋଧନ ନିୟାମକ, 2019କୁ ମଞ୍ଜୁର କରିଛନ୍ତି ।
| 0 | NIv2 | task985_pib_translation_hindi_oriya | fs_opt | [
0.4933091402053833,
-0.1387578696012497,
0.02271953783929348,
0.42786097526550293,
-0.3217499256134033,
-0.6012758612632751,
0.40739911794662476,
0.3277076780796051,
-0.7752819061279297,
0.33185338973999023,
-0.23693068325519562,
0.049424268305301666,
-0.049494750797748566,
-0.364349097013... |
Q: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Category: STREET SMARTS
Clue: You'll pass the New London Theatre walking from Aldwych to High Holborn along this lane
A: | drury lane | 7 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.5521146059036255,
1.0269933938980103,
0.01673363335430622,
-0.15769140422344208,
0.5048989057540894,
-0.12457161396741867,
0.45058971643447876,
-0.7169434428215027,
0.9424959421157837,
0.18560174107551575,
0.31718534231185913,
0.4535418748855591,
-0.308441162109375,
0.11362410336732864,... |
In this task your given two statements in Thai. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Example input: สิ่งของถูกห่อไว้ในพลาสติก
มันบอบบาง
Example output: cause
Example explanation: The object being delicate is the cause of wrapping it in bubble wrap.
Q: ฉ้นไม่เชื่อคนขาย
ฉันปฎิเสธข้อเสนอของเขา
A: | effect | 3 | NIv2 | task1179_xcopa_commonsense_cause_effect_th | fs_opt | [
-0.9390109777450562,
0.26107341051101685,
0.06615301966667175,
-0.41172635555267334,
-0.4814515709877014,
-0.5177860856056213,
-0.1589285135269165,
0.5391862392425537,
0.1336136758327484,
-0.1695924550294876,
-0.3642504811286926,
0.3689424395561218,
-0.5786678194999695,
0.14388899505138397... |
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 shown an incorrect English sentence. You need to generate a corrected form of the input sentence.
The car's wheel are loose.
Solution: The car's wheel is loose.
Why? The instance of are is replaced by the word is. This makes the sentence grammatically correct.
New input: I believe , this number is increasing and will continue to increase as generations of educated people pass on their wisdom to their children .
Solution: | I believe this number is increasing , and will continue to increase , as generations of educated people pass on their wisdom to their children . | 0 | NIv2 | task1557_jfleg_answer_generation | fs_opt | [
0.1749567836523056,
0.6789950728416443,
0.221158966422081,
0.04746950417757034,
-0.022135436534881592,
-0.5970900654792786,
0.6331087946891785,
1.08064866065979,
0.4977942109107971,
-0.09614092111587524,
-0.007828757166862488,
-0.4141021966934204,
-0.13580957055091858,
0.17125557363033295,... |
Q: Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.
Abstract: The conduction system and the entire heart were examined histologically in four patients with congenital heart disease who had surgery many years before they died suddenly. All were asymptomatic, in sinus rhythm and living normally. The sudden death may have been related to alterations in the conduction system, previously present, or introduced by the previous surgery, or related to inflammatory phenomena, an outgrowth of the previous surgery.
A: | Adult | 7 | NIv2 | task620_ohsumed_medical_subject_headings_answer_generation | zs_opt | [
0.18511107563972473,
0.7432655692100525,
-0.29838985204696655,
-0.5947978496551514,
0.13282403349876404,
-0.490457683801651,
0.16932103037834167,
0.40690183639526367,
0.7936863899230957,
0.12158572673797607,
-0.4138648509979248,
-0.07009021937847137,
-0.30755722522735596,
0.570828557014465... |
Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context and the story's general plot. The original ending is the last three sentences of the story. Also, a counterfactual context is a slight modification to the initial context. You should write a new story ending that edits the original story ending as little as possible to regain coherence with the counterfactual context. To sum up, you should write the last three sentences of a story based on the premise(first sentence) and the counterfactual context(second sentence) of the story.
Let me give you an example: Premise: Susie was sitting on her barstool.
Initial Context: She kept kicking the counter with her feet.
Original Ending: Suddenly, her kick sent her falling backwards. The chair hit the ground with a thud and broke. Susie hurt her head and was really scared.
Counterfactual Context: She kept herself steady with her feet.
The answer to this example can be: Suddenly, an earthquake sent her falling backwards. The chair hit the ground with a thud and broke. Susie hurt her head and was really scared.
Here is why: The generated new ending is perfect. It considers the counterfactual context and changes required parts in original ending.
OK. solve this:
Premise: Jenna was good with numbers and did all her family's taxes.
Initial Context: Her dad wanted to falsify some information.
Original Ending: Jenna refused and held her ground. Her dad insisted saying he couldn't pay more taxes. So Jenna invited him to give to charities to pay less.
Counterfactual Context: She started charging them so they found someone else.
Answer: | They refused to pay held their ground. Her dad insisted saying she couldn't do their taxes. So Jenna recommended someone else. | 8 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.9550008773803711,
0.4118959903717041,
-0.205140620470047,
0.37863385677337646,
0.39682522416114807,
-1.1448280811309814,
0.25604093074798584,
1.3466414213180542,
-0.16802525520324707,
-0.0373913049697876,
-0.1756325215101242,
0.07710759341716766,
-0.2552799582481384,
0.4184744358062744,
... |
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
[Q]: Sentence1: 'five ladies sitting together at a tale outside a restaurant', Sentence2: 'a game of tennis is being played on a court as an audience looks on'. Is the frequency of the word 'restaurant' in two sentences equal?
[A]: No
[Q]: Sentence1: 'blue airplane sitting on a runway with two worker trucks in the background', Sentence2: 'buildings with a clock and lampposts along a street'. Is the frequency of the word 'airplane' in two sentences equal?
[A]: No
[Q]: Sentence1: 'pedestrians walk in the street passed a stop sign', Sentence2: 'a women eating a small meal on the outside portion of a boat'. Is the frequency of the word 'the' in two sentences equal?
[A]: | Yes
| 5 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.5436644554138184,
0.49231091141700745,
-0.6026908159255981,
-0.05299609899520874,
-0.02391652762889862,
0.2042853981256485,
0.5866429805755615,
1.0509159564971924,
0.3015926480293274,
-0.04517394304275513,
-0.25557345151901245,
-0.2921256422996521,
-0.030216902494430542,
0.1558051109313... |
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.
Lucas entered the cellar. Olivia entered the cellar. The grapefruit is in the blue_bathtub. Olivia exited the cellar. Lucas moved the grapefruit to the red_drawer. Lucas exited the cellar. Olivia entered the cellar. Where does Lucas think that Olivia searches for the grapefruit? | blue_bathtub | 0 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
-0.6702237725257874,
-0.05865592509508133,
-0.33059072494506836,
-0.0025684554129838943,
-0.40679746866226196,
-0.3448363244533539,
0.2773466110229492,
0.43646764755249023,
0.3321552872657776,
-0.2470143437385559,
-0.4541945457458496,
0.22887389361858368,
0.2307305932044983,
0.235973909497... |
Given the task definition, example input & output, solve the new input case.
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Finnish 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 Finnish language. 2) Also names ,dates and places should be preserved it should not get translated.
Example: I stood upon the hearth-rug and picked up the stick which our visitor had left behind him the night before.
Output: Minä seisoin matolla tulisijan edessä pitäen kädessäni keppiä, jonka eräs edellisenä iltana luonamme käynyt herra oli unohtanut.
The English sentence contains all the keywords of the Finnish Sentence.
New input case for you: He was a small, slim, clean-shaven, prim-faced man, flaxen-haired and lean-jawed, between thirty and forty years of age, dressed in a gray suit and wearing a straw hat.
Output: | Se oli pieni, hento mies, jonka kasvot olivat sileiksi ajellut, jolla oli pellavan värinen tukka ja kapea alaleuka, ijältään oli hän noin kolmenkymmenen ja neljänkymmenen vuoden välillä, pukunsa oli harmaa ja päässään olkihattu. | 1 | NIv2 | task1650_opus_books_en-fi_translation | fs_opt | [
-0.056004881858825684,
0.5098267793655396,
-0.10247717797756195,
-0.7466040253639221,
0.3532370328903198,
-0.5550656318664551,
0.7785571813583374,
0.7587617635726929,
-0.21542643010616302,
-0.016202062368392944,
-0.19617632031440735,
1.2956122159957886,
-0.7753821015357971,
0.3663758635520... |
TASK DEFINITION: In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
PROBLEM: Sentence: The receptionist reminded the cook to wear suits because he always forgets.
Gender: male
SOLUTION: Cook
PROBLEM: Sentence: The supervisor complained the hairdresser 's hair was too long because she never got a haircut.
Gender: female
SOLUTION: Hairdresser
PROBLEM: Sentence: The CEO was worried about a visit from the auditor because he failed to submit some paperwork on time.
Gender: male
SOLUTION: | Ceo
| 8 | NIv2 | task342_winomt_classification_profession_pro | fs_opt | [
-1.1473430395126343,
0.6473125219345093,
-0.3967393636703491,
-1.119048833847046,
0.05849321186542511,
0.00521815987303853,
0.4340370297431946,
0.6761224269866943,
0.42809027433395386,
-0.017451420426368713,
-0.9772657155990601,
-0.006370876915752888,
-0.7816352248191833,
-0.08812269568443... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
Example input: Кому они так необходимы, эти страдания?» А у меня спина болит, ходить больно :(
Example output: sadness
Example explanation: The input text states the suffering of a person who is unable to walk as his back hurts. There is an emotion of 'sadness' in this text. So, the input text is labeled correctly as 'sadness'.
Q: сегодня у Даши настроение с утра хорошее:)и утро какое то прям радостное:))до встречи остался 21 одень,аааа:))))
A: | joy | 3 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.13199615478515625,
-0.3067317306995392,
0.03282575309276581,
-0.5547984838485718,
-0.3388453722000122,
-0.7284499406814575,
0.9851323962211609,
1.0397343635559082,
0.10007553547620773,
0.4002794921398163,
-0.6284286379814148,
0.33624377846717834,
0.5010945200920105,
0.5745466351509094,
... |
Q: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
And the earth opened her mouth, and swallowed them up, and their houses, and all the men that appertained unto Korah, and all their goods.
A: | «به العازار بن هارون کاهن بگو که مجمرها را ازمیان آتش بردار، و آتش را به آن طرف بپاش زیراکه آنها مقدس است. | 7 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
0.007438691332936287,
1.5007448196411133,
-0.36638104915618896,
-0.046799369156360626,
-0.860567569732666,
-0.027984298765659332,
0.30668604373931885,
0.11921043694019318,
0.1073935478925705,
-0.3677789270877838,
-0.07216115295886993,
0.547360897064209,
-0.7780362367630005,
-0.192522764205... |
Given the task definition and input, reply with output. In this task, you are given music product reviews in French 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.
Pour découvrir ou mieux connaître Michel Polnareff . Cette nouvelle compilation n'est pas faite pour ceux qui connaissent très bien Michel Polnareff. Pour ceux qui veulent le découvrir ou mieux le connaître c'est une très bonne compilation : de superbes chansons et mélodies.
| POS | 5 | NIv2 | task484_cls_french_music_classification | zs_opt | [
-0.539103627204895,
0.7083281874656677,
-0.23720306158065796,
0.1984386444091797,
0.3290877044200897,
0.08420603722333908,
0.8649282455444336,
-0.21505364775657654,
0.7094905376434326,
0.4360690116882324,
-0.8995746374130249,
-0.23213361203670502,
-0.05948258191347122,
0.14864245057106018,... |
In this task, you're given a text and question. The question is about the topic of the document. You are expected to generate an incorrect answer. The incorrect answer should be among one of the following categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Film, 14)Written work
Input: Consider Input: Text: Thomas Clay McCreery (December 12 1816 – July 10 1890) was a Democratic U.S. Senator from Kentucky.Born at Yelvington Kentucky. McCreery graduated from Centre College in Danville Kentucky in 1837. He studied law passed the bar and commenced practice in Frankfort Kentucky. He then returned to Owensboro and engaged in literary pursuits.He ran unsuccessfully for election in 1842 to the Twenty-eighth Congress and again in 1844 to the Twenty-ninth Congress.
Question: WHat is the classified topic name
Output: Film
Input: Consider Input: Text: Martin Harry Greenberg (March 1 1941 – June 25 2011) was an American academic and speculative fiction anthologist. In all he compiled 1298 anthologies and commissioned over 8200 original short stories. He founded Tekno Books a packager of more than 2000 published books. As well he was a co-founder of the Sci-Fi Channel.
Question: WHat is the classified topic name
Output: Mean of transportation
Input: Consider Input: Text: Palamkole is a village in Ranga Reddy district in Andhra Pradesh India. It falls under Shamshabad mandal.
Question: WHat is the classified topic name
| Output: Mean of transportation
| 2 | NIv2 | task631_dbpedia_14_incorrect_answer_generation | fs_opt | [
0.028360877186059952,
-0.04444655030965805,
0.20236417651176453,
0.7681621313095093,
0.1288648247718811,
-0.5969175100326538,
-0.5471196174621582,
-0.07060454785823822,
-0.6672307252883911,
0.1652945727109909,
-0.7444671392440796,
0.19394029676914215,
-0.5437723398208618,
-0.51560890674591... |
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.
Sentence1: when a hurricane moves over land , that hurricane will decrease in strength.
Sentence2: Hurricanes form over the warm tropical water in ocean and die down when they move over land.
land
Sentence1: Cells are the microscopic building blocks of organisms.
Sentence2: proteins are the building blocks of organisms.
organisms
Sentence1: Weather refers to the conditions of the atmosphere from day to day.
Sentence2: Rain is a different type of weather.
| Weather
| 0 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
0.2635674476623535,
1.0531013011932373,
-0.04022403061389923,
-0.3534247875213623,
-0.26874035596847534,
-1.1543747186660767,
0.3895703852176666,
0.6760643124580383,
-0.3945087790489197,
-0.26819974184036255,
-1.0595412254333496,
-0.5404568910598755,
-0.9847238063812256,
0.5800279378890991... |
In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Q: Post: @SassBaller @zenmoimehin @FoxNews You misspelled 'cunt'. Ugly word, for an ugly woman that turns on her fellow woma… [Link]
A: | Generic | 4 | NIv2 | task337_hateeval_classification_individual_en | zs_opt | [
-1.5319979190826416,
0.5196211338043213,
0.39809542894363403,
0.36566734313964844,
0.09114756435155869,
-1.017958402633667,
0.061715416610240936,
0.01911771669983864,
-0.021754030138254166,
0.7112510204315186,
-0.42717158794403076,
0.5429188013076782,
-0.4703318476676941,
-0.14444786310195... |
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 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.
These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such poor quality. I have used infrared lights for my ball python for many years now and I get a varied range of months from a bulb, but I have never gone through two bulbs in a matter of two months! I am very disappointed.
Solution: negative
Why? The user seems very disappointed in the product. Because the bulb they ordered has been burned out earlier than usual. So, it's a negative review.
New input: put on my car back window and noticed corners and edges did not stay down too well. did not think too much about it looked at sticker a day ago and looks as if water penetrated under sticker and discolored it. had to take it off looks terrible. guess it supposed to be on a bumper or window that does not get wet.....
Solution: | negative | 0 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.6732149124145508,
0.3168603181838989,
-0.016711633652448654,
-0.2439253032207489,
-0.15754713118076324,
-0.3242999315261841,
0.48799148201942444,
0.9818996787071228,
-0.06943987309932709,
0.5293334722518921,
-0.019798599183559418,
0.22761216759681702,
-0.3240410089492798,
0.013242421671... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
One example: Udostępniam rozwiązanie. Jestem bardzo szczęśliwy.
Solution is here: Brindo soluciones. Estoy muy feliz.
Explanation: The Polish sentence is correctly translated into Spanish, because the meaning is preserved.
Now, solve this: Aby prawo mogło być trybuną wolności, ludzie muszą, ludzie muszą ufać prawu.
Solution: | La gente, para que la ley sea la plataforma de la libertad, la gente tiene que confiar en ella. | 6 | NIv2 | task1258_ted_translation_pl_es | fs_opt | [
-0.9174047708511353,
1.1725279092788696,
-0.3984435498714447,
-0.3436702489852905,
-0.22582052648067474,
-0.746444821357727,
1.2839888334274292,
-0.28593629598617554,
0.447413831949234,
-0.7813210487365723,
-0.43179163336753845,
0.6427419185638428,
-0.25814181566238403,
0.34063345193862915... |
Teacher: You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to find the value of a variable (2) 'arithmetic' questions will ask the sum, difference, multiplication, division, power, square root or value of expressions involving brackets (3) 'measurement' questions are questions that ask to convert a quantity from some unit to some other unit (4) 'numbers' questions will be about bases, remainders, divisors, GCD, LCM etc. (5) 'probability' questions will ask about the probability of the occurrence of something. A question must belong to only one category.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Suppose -d - 13 = -n - 0, 0 = 2*d + 2. Solve 2*x = -10 + n for x.
Solution: algebra
Reason: This is a system of three linear equations, clearly an 'algebra' question. Standard methods of solving linear equations can be used to obtain the solution.
Now, solve this instance: Let i = -28 - -30. Suppose 4*z + 5*k = 200, -i*z + 81 = -k - 33. What is the tens digit of z?
Student: | numbers | 2 | NIv2 | task834_mathdataset_classification | fs_opt | [
-0.14107097685337067,
0.3661230206489563,
-0.2985386550426483,
-0.24407115578651428,
0.1073119193315506,
0.4181702435016632,
0.6690094470977783,
0.6214869022369385,
0.17870444059371948,
-0.4367537498474121,
-0.9349907636642456,
0.04811592400074005,
-0.6923410892486572,
0.09672501683235168,... |
Instructions: In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label the instances as "ironic" or "not" based on your judgment. Note that URLs in the text have been replaced with [Link].
Input: Waa mockingjay part 2 tahon depan meh 20 Nov 2015 wtvr Night at the museum 3 #mustwatchb4decemberendssobssobs [Link]
Output: | not | 3 | NIv2 | task386_semeval_2018_task3_irony_detection | zs_opt | [
-1.4703454971313477,
0.27567243576049805,
1.0466272830963135,
-0.07432706654071808,
-0.29316407442092896,
0.5791802406311035,
0.32255077362060547,
0.09415562450885773,
1.1848560571670532,
0.18716493248939514,
-0.39328280091285706,
0.27704375982284546,
-0.13508038222789764,
-0.3923316001892... |
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.
Question: How many employees did Warner Bros. Records have the year that Kerr moved to Los Angeles? Passage:The Anita Kerr Singers or The Jordanaires sang background on just about every Nashville hit in the late 1950s and early 1960s. After she and Al Kerr divorced, she disbanded the Nashville version of her Anita Kerr Singers and relocated to Los Angeles in August 1965 with her second husband, Swiss businessman Alex Grob, and her daughters Suzie & Kelly. She no longer wanted to just be a background singer or arranger on country songs – she wanted to do pop music, jazz and "do more orchestral writing and music that was not just country.". She hired some lawyers to get her out of her contract with RCA’s Nashville division, got a contract with Warner Bros. Records, and formed a Los Angeles version of the Anita Kerr Singers. The new group, for the next five years, would include the following personnel: alto B.J. Baker or Jackie Ward, tenor Gene Merlino or Bill Cole, baritone Bill Lee, bass Bob Tebow, and Kerr herself as soprano and arranger. The half dozen albums recorded by the Singers for Warner included a cover version of the song "All You Need Is Love" by The Beatles, and one of the LPs was exclusively devoted to the songs of composer Bert Kaempfert. Disguising the group as the Mexicali Singers, Kerr also recorded a trio of mariachi-flavored albums with musical arrangements reminiscent of the Herb Alpert & The Tijuana Brass sound. The Anita Kerr Singers won another Grammy Award for their recording of A Man And A Woman, released as a single on Warner Bros. Records.
Links: a. Bill Lee (singer) b. Warner Records c. B. J. Baker d. Warner Records | b | 0 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.7699269652366638,
0.7055549621582031,
-0.8766460418701172,
0.22526519000530243,
0.8148646354675293,
0.25722262263298035,
1.0534889698028564,
0.8091259002685547,
0.05641445517539978,
0.0013273709919303656,
0.5259363651275635,
0.2686033844947815,
-0.48194146156311035,
-0.0234665684401989,
... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Igbo sentence: izere - old saxon
French - old saxon
Igbo sentence: ịjụ ajụjụ banyere:
Inquiring About:
Igbo sentence: Ahịa Review - m natara m ịnweta nkata na July 8th
| Customer Review – I received my Mineral Basket on July 8th
| 0 | NIv2 | task449_opus_paracrawl_ig_en_translation | fs_opt | [
0.029004903510212898,
0.26630985736846924,
-0.14009356498718262,
-0.24426892399787903,
0.0985812395811081,
-1.0398517847061157,
1.0435912609100342,
0.0453370064496994,
-0.23039083182811737,
-0.3377118408679962,
-0.4122631549835205,
-0.08786781877279282,
-1.0823357105255127,
0.5540956258773... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
אבל לא הייתי רוצה להתעסק עם כל הפוליטיקה של אנשי הנייר.
| no quisiera tratar con todas las personas políticas de papel. | 5 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-1.1123895645141602,
0.6316608786582947,
0.35619187355041504,
-0.06323062628507614,
-0.729312002658844,
-0.08365589380264282,
0.049362435936927795,
0.5524147152900696,
0.7827805280685425,
-0.553037166595459,
-0.023647841066122055,
0.5091742277145386,
-0.14331701397895813,
-0.20595252513885... |
You will be given a definition of a task first, then some input of the task.
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
Brain structures underlying posttraumatic stress disorder (PTSD) have been a focus of imaging studies, but associations between treatment outcome and alterations in brain structures remain largely unexamined. We longitudinally examined the relation of structural changes in the rostral anterior cingulate cortex (rACC), a previously identified key region in the PTSD fear network, to outcome of prolonged exposure (PE) treatment.', 'The sample included 78 adults (53 women): 41 patients with PTSD and 37 trauma-exposed healthy volunteers (TE-HCs). Patients underwent a 10-week course of PE treatment and completed pre- and posttreatment assessments and magnetic resonance imaging (MRI) structural scans. TE-HCs also underwent assessment and MRI at baseline and 10 weeks later. PE remitters (n\xa0=\xa011), nonremitters (n\xa0=\xa014), and TE-HCs, were compared at baseline on demographic and clinical characteristics and ACC structure. Remitters, nonremitters, and TE-HCs were compared for pre- to posttreatment clinical and structural ACC change, controlling for potential confounding variables.', 'There were no baseline differences in structure between PTSD and TE-HCs or remitters and nonremitters. Following treatment, PTSD remitters exhibited cortical thinning and volume decrease in the left rACC compared with PTSD nonremitters and TE-HCs.
Output: | Does pTSD REMISSION AFTER PROLONGED EXPOSURE TREATMENT be ASSOCIATED WITH ANTERIOR CINGULATE CORTEX THINNING AND VOLUME REDUCTION? | 1 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.5729519724845886,
-0.1300743669271469,
-0.7319884300231934,
-0.027620011940598488,
0.45207709074020386,
-0.5618505477905273,
1.0940461158752441,
0.9156354665756226,
0.3635862469673157,
0.3418956696987152,
-0.6277084350585938,
-0.25384438037872314,
-0.8538941144943237,
0.44980934262275696... |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
One example: Italy have defeated Portugal 31-5 in Pool C of the 2007 Rugby World Cup at Parc des Princes, Paris, France.
Solution is here: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Explanation: This is a correct and accurate translation from English to Japanese because translated text is just paraphrased of English sentence. Also, it preserves the numbers as it is.
Now, solve this: By 11:45 A.M. EST Obama is projected to have won 349 electoral votes to McCain's 163 votes.
Solution: | アメリカ東部標準時間の午前11時45分までに、オバマは349票の選挙人票を獲得し、マケインの163票に対して勝つと予想された。 | 6 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.10313278436660767,
0.7432437539100647,
-0.13539734482765198,
0.37968114018440247,
-0.07804425060749054,
-0.19642266631126404,
0.4563446044921875,
0.5850777626037598,
0.35053750872612,
-0.38935619592666626,
-0.6152967214584351,
0.6743892431259155,
-0.2580161392688751,
0.18533013761043549... |
You will be given a definition of a task first, then some input of the task.
You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option .
Statement: নভেম্বর, ২০১২ পর্যন্ত মোট ৮ জন ব্যক্তিত্ব বিভিন্ন সময়ে জাতিসংঘের মহাসচিবের দায়িত্ব পালন করেছেন। জাতিসংঘ প্রতিষ্ঠিত হওয়ার পর টৃগভে লি প্রথম মহাসচিব পদে নির্বাচিত হন। কিন্তু তার পূর্বে গ্লাডউইন জেব ভারপ্রাপ্ত মহাসচিব হিসেবে দায়িত্ব পালন করেছিলেন৷ তিনি <MASK> অধিবাসী ছিলেন৷ তার মেয়াদকাল ছিল ২৪ অক্টোবর, ১৯৪৫ থেকে ২ ফেব্রুয়ারি, ১৯৪৬ পর্যন্ত।
Option A: Malaisie
Option B: জাতিসংঘ
Option C: পর্তুগালের
Option D: যুক্তরাষ্ট্রের
Output: | যুক্তরাষ্ট্রের | 1 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
-0.07476254552602768,
0.6887574195861816,
-0.7285205125808716,
0.48505812883377075,
-0.33032628893852234,
-0.35585862398147583,
0.2306612730026245,
-0.15152034163475037,
-0.11165832728147507,
0.18577590584754944,
-0.06462016701698303,
0.20411577820777893,
-0.4285613000392914,
0.07106035202... |
TASK DEFINITION: Categorize the comment on the basis of insult. If the comment is insulting output Yes, otherwise output No.
PROBLEM: There is no reason to change anything but to use the CBR as it is meant to be used. To take from the people now is nonsense. Instituting a Tax of any kind is unrepresented of keeping with a smaller government. What is really happening in Juneau is another shell game designed to steal from the people without justification just scare tactics and greed.
SOLUTION: No
PROBLEM: What kind of a person knows what’s good for others?
Not to start a fight, but LTD and Eugene's city council have a history of telling others what they think is best for them, and passing regulation without any added input from others.
And supposedly they all work for us.
SOLUTION: No
PROBLEM: No actually fireworks are explosives.
SOLUTION: | No
| 8 | NIv2 | task1724_civil_comments_insult_classification | fs_opt | [
-0.28579026460647583,
0.833994448184967,
0.2415776550769806,
-0.2001366913318634,
-0.22612719237804413,
-0.9167606830596924,
1.1362285614013672,
0.6157144904136658,
0.059698306024074554,
-0.022699544206261635,
0.29501891136169434,
0.02070431597530842,
-0.29491889476776123,
-0.4479385912418... |
Part 1. Definition
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Part 2. Example
Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly.
Answer: Marcus was happy to have the right clothes for the event.
Explanation: Marcus is buying clothes for a business event.
Part 3. Exercise
Title: Forgotten Homework. Sentence 1: Ryan had forgotten his math assignment at home. Sentence 2: He quickly called his mom. Sentence 3: He asked her to bring the assignment to school. Sentence 4: Ryan's mom drove back to school with the assignment.
Answer: | Ryan was able to give the assignment to his teacher. | 7 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.15717273950576782,
0.8495437502861023,
0.28182703256607056,
-0.548904299736023,
0.0703001469373703,
0.5547062158584595,
1.0241129398345947,
0.46571624279022217,
0.29041916131973267,
-0.11286251246929169,
-0.7863752245903015,
-0.053778693079948425,
-0.6385226845741272,
0.4164184927940368... |
Detailed 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.
Q: PersonX surprises ___ with tickets
A: | friends | 9 | NIv2 | task1217_atomic_answer_generation | zs_opt | [
-0.1691623330116272,
0.4559016227722168,
-0.21648520231246948,
-0.2379361391067505,
-0.21813851594924927,
-0.3535943925380707,
1.5006093978881836,
0.025663889944553375,
-0.06684055924415588,
-0.6040576696395874,
-0.06357739865779877,
-0.5261967182159424,
-0.2450220286846161,
-0.03411274030... |
TASK DEFINITION: In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
PROBLEM: Donald lost to Kyle in a round of golf. _ felt disappointed about the results of the game. (A) Donald (B) Kyle
SOLUTION: A
PROBLEM: John cleaned his new car with a damp towel and this got the _ very dirty. (A) towel (B) car
SOLUTION: A
PROBLEM: Lindsey wanted to eat vegetables, but Megan insisted they eat steak, so _ came to terms with not having broccoli. (A) Lindsey (B) Megan
SOLUTION: | A
| 8 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
-0.061200082302093506,
0.03206239640712738,
-0.10476087778806686,
-0.9445513486862183,
-0.24656455218791962,
-0.5213637351989746,
0.8869951367378235,
0.5542536377906799,
-0.2703213095664978,
0.3755425810813904,
0.27748721837997437,
0.1181672066450119,
0.1696922779083252,
-0.037485014647245... |
Teacher: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes more sense.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly. Choices: a. Marcus was happy to have the right clothes for the event. b. He left in a huff for having his ideas mocked.
Solution: a
Reason: Marcus is buying clothes for a business event and not presenting an idea.
Now, solve this instance: Title: Smelly shoes. Sentence 1: There was an unpleasant smell in the house. Sentence 2: I didn't know where it was coming from. Sentence 3: I looked everywhere in the house except my room. Sentence 4: Finally, I went inside my room and the smell gotten worse. Choices: a. It seems my shoes was the cause of the smell. b. He worried for nothing because they hit it off perfectly.
Student: | a | 2 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.1150277629494667,
0.08172201365232468,
-0.24015946686267853,
0.3515028953552246,
0.5691828727722168,
-0.241582989692688,
-0.06936369836330414,
1.0410377979278564,
-0.1918220818042755,
0.2359907478094101,
-0.6509149074554443,
0.31191086769104004,
-0.07203309237957001,
-0.3522035777568817,... |
Detailed Instructions: In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
See one example below:
Problem: Says the Annies List political group supports third-trimester abortions on demand.
Solution: abortion
Explanation: It's a correct subject of the statement because it talks about a political group supporting demans of abortions.
Problem: "Last week Senator Obama's running mate said, get this, 'Raising taxes is patriotic.' "
Solution: | taxes | 4 | NIv2 | task613_politifact_text_generation | fs_opt | [
0.1926531195640564,
0.2087668925523758,
-0.13646212220191956,
0.22268575429916382,
-0.3222072124481201,
-1.0080296993255615,
0.4443511366844177,
0.53049635887146,
0.09005044400691986,
0.5512558221817017,
-0.5440539121627808,
0.24020594358444214,
-0.3449689447879791,
-0.07702799141407013,
... |
Detailed Instructions: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment.
Problem:They get together twice a year and talk about the latest trends in litigation .
Solution: | Original | 8 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.9538770914077759,
1.1367968320846558,
0.07890011370182037,
-0.05414406210184097,
-0.39526641368865967,
-0.4598168134689331,
-0.23287969827651978,
0.560004711151123,
0.2859550714492798,
-0.46348485350608826,
-0.6135458946228027,
-0.384059339761734,
-0.7722862362861633,
0.1892694383859634... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Q: Because steak was so expensive, restaurants ordered less from farms , so _ saved money. (A) restaurants (B) farms
A: | A | 4 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
0.6641761064529419,
0.32308313250541687,
-0.09834416955709457,
-0.1624736338853836,
-0.16704456508159637,
-0.33310848474502563,
0.5824624300003052,
1.1460344791412354,
-0.10123942047357559,
0.07567638158798218,
-0.013337073847651482,
-0.03140197694301605,
0.2050025910139084,
0.030744191259... |
Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
Example Input: news:Nokian Tyres ' tyres are considered genuine winter tyres in Russia .
polarity:neutral
Example Output: true
Example Input: news:The total project duration is three years and it is valued at some EUR11 .5 m.
polarity:neutral
Example Output: true
Example Input: news:Adanac Molybdenum of Canada has ordered grinding technology for its molybdenum project in British Columbia , Canada , while Shalkiya Zinc of Kazakhstan has awarded a contract for grinding technology for the Shalkiya zinc-lead project in Kazakhstan .
polarity:positive
Example Output: | true
| 3 | NIv2 | task844_financial_phrasebank_classification | fs_opt | [
-0.6458425521850586,
-0.0550508126616478,
-0.21262608468532562,
0.17113333940505981,
-0.15898436307907104,
-0.1305616796016693,
0.5158696174621582,
0.7084847688674927,
0.2589750289916992,
-0.0662630945444107,
-0.3474279046058655,
0.3415980935096741,
0.17398883402347565,
-0.4163501858711242... |
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 a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Passage: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lô during July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war,
. Link Information: Operation Market Garden was a failed World War II military operation fought in the Netherlands from 17 to 25 September 1944. Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin?
Solution: from 17 to 25 September 1944
Why? The passage describes the 704th's actions during Operation Market Garden, and the answer specifies when the operation happened.
New input: Passage: Emperor Huizong of Song (7 June 1082 – 4 June 1135), personal name Zhao Ji, was the eighth emperor of the Song dynasty in China. He was also a very well-known calligrapher. Born as the 11th son of Emperor Shenzong, he ascended the throne in 1100 upon the death of his elder brother and predecessor, Emperor Zhezong, because Emperor Zhezong's only son died prematurely. He lived in luxury, sophistication and art in the first half of his life. In 1126, when the Jurchen-led Jin dynasty invaded the Song dynasty during the Jin–Song Wars, Emperor Huizong abdicated and passed on his throne to his eldest son, Zhao Huan who assumed the title Emperor Qinzong while Huizong assumed the honorary title of Taishang Huang (or "Retired Emperor"). The following year, the Song capital, Bianjing, was conquered by Jin forces in an event historically known as the Jingkang Incident. Emperor Huizong, along with Emperor Qinzong and the rest of their family, were taken captive by the Jurchens and brought back to the Jin capital, Huining Prefecture in 1128. The Jurchen ruler, Emperor Taizong of Jin, gave the former Emperor Huizong a title, Duke Hunde (literally "Besotted Duke"), to humiliate him. After his surviving son, Zhao Gou, declared himself as the dynasty's tenth emperor as Emperor Gaozong, the Jurchens used him, Qinzong, and other imperial family members to put pressure on Gaozong and his court to surrender. Emperor Huizong died in Wuguo after spending about nine years in captivity.
Link Information: Emperor Qinzong of Song (23 May 1100 – 14 June 1161) Question: Huizong's son was how old when he abdicated and passed the throne to him?
Solution: | Answer: 26 | 0 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
0.2156330794095993,
0.49392759799957275,
-0.6334041357040405,
-0.5199790000915527,
0.4075620770454407,
-0.4331146478652954,
0.6348803043365479,
0.7476154565811157,
-0.3996201157569885,
0.07553927600383759,
-0.19196239113807678,
0.3650243878364563,
-0.18095436692237854,
0.6212142705917358,
... |
Definition: A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: কেবলমাত্র তার মাধ্যমেই আমরা মানবজাতির শক্তির প্রয়োজন যথাযথভাবে মেটাতে পারবো।
Output: | तरच आपण जास्तीत जास्त प्रमाणात मानवाच्या ऊर्जा विषयक गरजा पूर्ण करू शकू. | 2 | NIv2 | task1061_pib_translation_bengali_marathi | zs_opt | [
0.3012803792953491,
0.8151965141296387,
-0.10703301429748535,
0.2212526798248291,
-0.43086227774620056,
-0.8513584136962891,
0.8948719501495361,
-0.21334776282310486,
0.12597030401229858,
-0.46356046199798584,
-1.1803719997406006,
0.0645846426486969,
-0.31315669417381287,
0.549881696701049... |
Given a paragraph about cooking, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`.
Q: CONTEXT: It is is almost impossible for chocolate to mold as it doesn't have any moisture, required for mold growth.There are two types of bloom:Sugar bloom -- wipe the chocolate with a wet finger, it will dissolve.Fat bloom -- wipe the chococolate with a dry finger, it will feel waxy or greasyEither tends to look like a chalky coating, not very thick, definitely not fuzzy (like mold). <sep> Q: How do you know if whitish chocolate has bloom? A: Either tends to look like a chalky coating, not very thick, definitely not fuzzy
A: | What are other signs that the chocolate is spoiled? | 4 | NIv2 | task1437_doqa_cooking_question_generation | zs_opt | [
-0.38222938776016235,
0.9779167175292969,
0.402560293674469,
-0.717969536781311,
0.194080650806427,
-0.5514216423034668,
0.06288378685712814,
0.7811721563339233,
-0.0422721691429615,
0.1265118271112442,
0.19339144229888916,
-0.01128064002841711,
-0.305976927280426,
0.06343686580657959,
0... |
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.
Un niveau est implicite pour la mesure. | Un niveau est utilisé pour la mesure. | 0 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.28647100925445557,
0.8411437273025513,
0.23301713168621063,
-0.4604410231113434,
0.3386808931827545,
-0.12044570595026016,
0.5811586976051331,
0.522559642791748,
0.25348997116088867,
-0.23506535589694977,
-1.5656535625457764,
-0.0009772081393748522,
-0.5537947416305542,
0.42924034595489... |
Teacher:In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Teacher: Now, understand the problem? Solve this instance: Passage: Born in Hill of Beath, Fife Durkin joined Edinburgh-based club Heart of Midlothian from local club Hill of Beath Ramblers in 1948, but did not make his Scottish Football League debut until 1951. He remained at Tynecastle Stadium until 1952, but played only sporadically, and joined Dunfermline Athletic in December of that year. In August 1953, he joined Gillingham of the Football League Third Division South. He signed for his new club on 21 August and made his Football League debut the following day in a match against Reading, during which he scored two goals in a 3–0 victory. He missed only one first team match between his debut and the following January, but then missed the remainder of the 1953–54 season. The following season, he could not gain a place in the team, managing only three appearances when key players were injured, although on his first appearance for ten months he scored a goal in a 3–1 victory over Newport County. He left at the end of the 1954–55 season to join non-league club Ramsgate Athletic of the Kent League in May 1955. No further details of his career are known.
Link Information: none Question: Of the clubs Durkin played for, which lost more games?
Student: | Answer: none | 6 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
0.8999717235565186,
-0.11360655725002289,
-0.33090662956237793,
-0.28578102588653564,
1.3029670715332031,
-0.6907210946083069,
0.47771018743515015,
1.0014177560806274,
-0.3778837323188782,
-0.4150920510292053,
0.016253743320703506,
0.5707574486732483,
-1.3003484010696411,
-0.09978531301021... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Example: אתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא אוהב את החוט הזה.
Example solution: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
Example explanation: The Hebrew sentence is correctly translated into Farsi, because the meaning is preserved.
Problem: זה היה קלף שחור.
| Solution: آن یک کارت سیاه بود. | 5 | NIv2 | task1113_ted_translation_he_fa | fs_opt | [
-1.1556750535964966,
0.47728437185287476,
0.10555406659841537,
0.16395163536071777,
-0.26014697551727295,
-0.49204978346824646,
0.6357079744338989,
0.09537766873836517,
0.46439501643180847,
0.14867186546325684,
-0.6121741533279419,
0.8409202098846436,
-0.9511922597885132,
-0.04108255729079... |
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Input: Em experiências, administrámos testosterona a homens.
Output: | En experimentos hemos suministrado testosterona a hombres | 2 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.3980253338813782,
0.4181276559829712,
-0.5336229801177979,
-0.9596343040466309,
-0.08585178107023239,
-0.8360974192619324,
0.2912455201148987,
1.0965468883514404,
1.3100085258483887,
0.12426557391881943,
-0.9906092882156372,
0.06822079420089722,
-0.08592274785041809,
0.10287313908338547... |
You are given a statement written in Bengali. 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 .
Q: Statement: মতিঝিল সরকারি বালক উচ্চ বিদ্যালয় <MASK>র মতিঝিলে অবস্থিত একটি উচ্চ বিদ্যালয়। বিদ্যালয়টি ঢাকার রাজারবাগ পুলিশ লাইনের সন্নিকটবর্তী আউটার সার্কুলার রোড সংলগ্ন দক্ষিণ শাহজাহানপুর মোড়ে অবস্থিত। বিদ্যালয়টির অধীনে প্রথম শ্রেণি থেকে দশম শ্রেণি পর্যন্ত পড়ানো হলেও মূলত মূল ব্যবস্থাপনায় ষষ্ঠ শ্রেণি থেকে দশম শ্রেণি পর্যন্ত পরিচালিত হয় বলে বিদ্যালয়টি মাধ্যমিক বিদ্যালয় হিসেবে শ্রেণিবদ্ধ। বিদ্যালয় প্রভাতি এবং দিবা -এই দুই শাখায় পরিচালিত হয়। সরকারি ভর্তি কার্যক্রমে বিদ্যালয়টি "খ" গ্রুপে শ্রেণিবদ্ধ।
Option A: বাংলাদেশের
Option B: বাউহাউস
Option C: ঢাকা
Option D: বিএনসিসি
A: | ঢাকা | 4 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
-0.4100905656814575,
0.6166458129882812,
0.04441972076892853,
0.15793104469776154,
0.3873010575771332,
0.07239039987325668,
-0.2368464320898056,
0.8161697387695312,
0.6655140519142151,
0.2707314193248749,
-0.5381815433502197,
-0.28339266777038574,
-0.39311784505844116,
-0.08277182281017303... |
Given the task definition and input, reply with output. In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Tweet: is getting quite excited about tonight Question: is it a positive tweet?
| yes | 5 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-1.3741201162338257,
0.46259528398513794,
0.8510183095932007,
0.806479811668396,
0.04279632121324539,
-1.141935110092163,
0.062174368649721146,
0.8294359445571899,
0.3572578430175781,
0.23567280173301697,
-0.6797469854354858,
-0.11087179183959961,
-0.5331689715385437,
-0.41121578216552734,... |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
One example: Prompt: See, Arlene? That's why I don't talk to you like that because I'm afraid I'll scare our son.
Response 1: I have 12. Wait, is the key to a success story getting the number to go down?
Response 2: Oh, Dad. Even that wasn't great.
Solution is here: Response 2
Explanation: Response 2 is correct answer because it agrees with the prompt and continues the conversation in the same context.
Now, solve this: Prompt: Darling, he's made it clear his pride prevents him from skipping the line.
Response 1: Just now? I thought we just came out of the choppy water.
Response 2: It's true, he is trying to set an example for his daughter.
Solution: | Response 2 | 6 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.05612366646528244,
0.7852706909179688,
0.39029812812805176,
-0.24496906995773315,
0.0523652508854866,
-0.7876359224319458,
0.11550278961658478,
0.3810284733772278,
-0.06768804788589478,
-0.31819045543670654,
-0.49348685145378113,
-0.02407827600836754,
-1.1499381065368652,
0.0845771506428... |
Q: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
ISIS militants besieging a Palestinian refugee camp in Syria's capital have savagely beheaded the leaders of a Hamas-linked group opposed to President Bashar Assad, it has been claimed. Having seized control of up to 90 per cent of the Yarmouk camp in south Damascus, the jihadis posted gruesome images showing the severed heads of two alleged members of Aknaf Beit al-Maqdis online. Like ISIS, the Palestinian group has declared Israel its sworn enemy, although its presence in Yarmouk has until now been to defend the camp's 18,000 residents from a crippling two year siege carried out by the Assad regime.Rampaging ISIS militants have seized up to 90 per cent of Yarmouk camp100 Palestinian refugees have been killed or kidnapped since WednesdayTwo members of a Hamas-linked group were beheaded, witnesses saidNow Gaza-based leaders have sworn bloody revenge on ISIS terrorists
Question:ISIS stormed the camp on Wednesday, marking the terrorist's deepest foray yet into _ - the Syrian capital and base of President Assad's government.
A: | Damascus | 7 | NIv2 | task339_record_answer_generation | zs_opt | [
0.28706222772598267,
0.3413979411125183,
0.02039031684398651,
-0.25285035371780396,
-0.29579952359199524,
-1.0877759456634521,
0.8494844436645508,
0.3804227411746979,
0.013498836196959019,
1.040527582168579,
-0.48067933320999146,
0.3919714689254761,
-0.7122257947921753,
0.2692685127258301,... |
A text is given in Malayalam. Translate it from the Malayalam language to the Tamil language. The translation must not omit or add information to the original sentence.
[EX Q]: റെയില്വേ രംഗത്ത് മുസാഫര്പൂര് - സഗൗളി, സഗൗളി - വാത്മീകി നഗര് എന്നീ റെയില് പാതകളുടെ ഇരട്ടിപ്പിക്കലിന് പ്രധാനമന്ത്രി തറക്കല്ലിട്ടു.
[EX A]: ரயில்வே துறையில் முஸாஃபர்பூர் மற்றும் சாகூலி இடையேயும், சாகூலி மற்றும் வால்மீகி நகர் இடையேயும் ரயில்பாதைகளை இரட்டிப்பாக்கும் திட்டத்திற்குப் பிரதமர் அடிக்கல் நாட்டினார்.
[EX Q]: എല്ലാ ജനങ്ങള്ക്കും വേണ്ടി, കോടിക്കണക്കിന് ഭാരതീയര്ക്ക് അഭിമാനത്തോടെ ജീവിക്കാനുള്ള അധികാരം നല്കിയ ബാബാ സാഹബിനെ ഞാന് നമിക്കുന്നു.
[EX A]: நாட்டுமக்கள் அனைவரின் சார்பிலும் பாபா சாஹேபுக்கு என் அஞ்சலிகளைக் காணிக்கையாக்குகிறேன்; கோடிக்கணக்கான இந்தியர்கள் கண்ணியத்தோடு வாழும் உரிமையை அவர் தான் பெற்றுத் தந்தார்.
[EX Q]: തുണിസഞ്ചിയും കര്ഷകര്ക്കു ഗുണം ചെയ്യും.
[EX A]: | துணிப் பைகள் விவசாயிகளுக்கு உதவும்.
| 6 | NIv2 | task999_pib_translation_malayalam_tamil | fs_opt | [
-0.5738546848297119,
-0.23515404760837555,
0.1609988510608673,
-0.22206160426139832,
-0.020589614287018776,
-0.5922080874443054,
0.9982529878616333,
0.9193819761276245,
-0.2695685625076294,
-0.18044856190681458,
-0.6146631240844727,
0.35214313864707947,
-0.05077025666832924,
-0.23283880949... |
A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: ہم مل کر اس امر کو یقینی بنائیں کہ ہمارے مستقبل کی نسلیں ایک صاف ستھرے کرہ ارض پر فطرت سے ہم آہنگی کے ساتھ زندگی جی سکیں۔‘‘
A: | നമ്മുടെ ഭാവി തലമുറകള് ശുദ്ധവും, ഹരിതാഭവുമായ ഭൂമിയില് പ്രകൃതിയുമായി പൊരുത്തപ്പെട്ട് ജീവിക്കുന്നുവെന്ന് നമുക്കൊരുമിച്ച് ഉറപ്പ് വരുത്താം', പ്രധാനമന്ത്രി പറഞ്ഞു. | 4 | NIv2 | task1060_pib_translation_urdu_malayalam | zs_opt | [
0.055430442094802856,
1.4718260765075684,
-0.6486355066299438,
-0.8481777906417847,
-0.7915161848068237,
-1.0217437744140625,
0.07878878712654114,
-0.12864753603935242,
-0.08989866822957993,
-0.3325686454772949,
-0.24679404497146606,
0.1983872354030609,
-0.11281608045101166,
0.084546819329... |
Detailed Instructions: In this task, you need to count the occurrences of the given word in the given sentence.
Problem:Sentence: 'teo women in all white playing tennis on a tennis court'. Count the occurrences of the word 'tennis' in the given sentence.
Solution: | 2 | 8 | NIv2 | task158_count_frequency_of_words | zs_opt | [
-0.24867700040340424,
0.9666295051574707,
-1.375404953956604,
-0.1680992841720581,
0.07535408437252045,
-0.2264116108417511,
0.3363642692565918,
0.8978478908538818,
0.7309285402297974,
0.005813092924654484,
-0.27314403653144836,
-0.08476223051548004,
-0.13031910359859467,
0.215006709098815... |
Definition: In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that section, otherwise answer with "False"
Input: Review: Definitely not the Disney versions if that's what you're looking for. Old versions of the movies. My daughter enjoyed some of them.
Rating: 3
Output: | True | 2 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
-0.088430255651474,
-0.1861865073442459,
0.040125876665115356,
-0.1847367286682129,
-0.15681684017181396,
0.25836196541786194,
1.3315448760986328,
0.49714893102645874,
0.037915606051683426,
0.21380560100078583,
-0.49068331718444824,
0.015016399323940277,
-0.7987684011459351,
0.324504315853... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Input: Consider Input: البته به شرکت های دارویی هم نیاز داریم تا تجربیاتشان را به ما انتقال بدن
Output: Claro que precisamos de empresas farmacêuticas para nos darem a sua experiência.
Input: Consider Input: دوازده تا است. یکی بوسیله چینی ها در حال ساخت است و یازده تا دیگر به ما متعلق است.
Output: Um está em construção pelos chineses e os outros 11 pertencem a nós.
Input: Consider Input: اسم من "" تاوی گوینسون "" است ، و اسم سخنرانی من "" هنوز در پی فهمیدن "" است ، و کیفیت برنامه نقاشی مایکروسافت در اسلاید های من یک تصمیم کاملا "" خلاقانه بوده تا با موضوع امروز در ارتباط باشه و هیچ ربطی به عدم توانایی من در بکارگیری "" پاور پوینت "" نداره. (خنده) و هیچ ربطی به عدم توانایی من در بکارگیری "" پاور پوینت "" نداره. (خنده) بدین ترتیب من این سایت را برای دختران نوجوان تدوین کردم. من یک طرفدار حقوق زن هستم.
| Output: O meu nome é Tavi Gevinson, o título da minha apresentação é: "" Ainda a tentar entender "" e a qualidade MS Paint dos meus "" slides "" foi uma decisão criativa em consonância com o tema de hoje, e não tem qualquer relação com a minha falta de habilidade no uso do PowerPoint. (Risos) Eu edito este "" website "" para raparigas adolescentes. Eu sou uma feminista.
| 2 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.715640664100647,
0.6639642715454102,
0.18138986825942993,
-0.7823765277862549,
-0.8605175614356995,
-0.4282245934009552,
0.5052345991134644,
0.7601045370101929,
0.6801949739456177,
0.050594933331012726,
-0.5333508253097534,
0.7769747972488403,
-0.4689638614654541,
-0.1767311990261078,
... |
Q: 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: Goose answered the door, but Fox wasn't there.
Question: Who was not home?
A: | Yes. | 7 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.8054382801055908,
0.6144774556159973,
0.25025156140327454,
0.4580826759338379,
-0.21795766055583954,
-1.1820244789123535,
0.4604477882385254,
1.0177432298660278,
0.17194202542304993,
0.012061933055520058,
0.056349825114011765,
0.4439505934715271,
-0.4596405029296875,
-0.4102327525615692... |
Detailed Instructions: 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.
Problem:Beginning: Today was April Fools Day and everyone played pranks on each other. Middle 1: I pulled a hilarious prank on my dad and he fell for it. Middle 2: I pulled a prank on my dad but he didn't fall for it. Ending: Dan couldn't help but laugh.
Solution: | 1 | 8 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.550273060798645,
0.8447617888450623,
0.021858472377061844,
-0.45382675528526306,
-0.9082162380218506,
0.0839080661535263,
0.5353875756263733,
0.28096628189086914,
0.18008184432983398,
-0.387447714805603,
-0.7985376119613647,
0.1237863227725029,
-0.2120005488395691,
-0.2923569083213806,
... |
Teacher:Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
Teacher: Now, understand the problem? Solve this instance: detached, relaxed, prime, fine, decent
Student: | prime | 6 | NIv2 | task142_odd-man-out_classification_no_category | zs_opt | [
1.2232835292816162,
0.1652057021856308,
-0.07875748723745346,
-0.8976773023605347,
0.13572068512439728,
-0.24180549383163452,
0.5575675964355469,
-0.12389175593852997,
0.20713840425014496,
-0.25886380672454834,
-0.5927484035491943,
-0.153974249958992,
-1.2587323188781738,
-0.31584671139717... |
Q: 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: Kurt was watching a documentary on the food industry. The documentary showcased slaughterhouses in one segment. By the end, Kurt felt guilty about the burger he ate for lunch. Choices: a. Alice and her friends had stomach aches for a week. b. Many scenes were gruesome and made Kurt's stomach turn. c. He decided he would try vegetarianism.
A: | 3b, 5c | 7 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
0.2305065095424652,
-0.08407213538885117,
0.11320728063583374,
0.7182894349098206,
-0.2229546159505844,
0.3841138184070587,
0.2717653512954712,
1.362795114517212,
-0.42868977785110474,
0.08010269701480865,
0.02395406924188137,
0.009694354608654976,
0.002071173395961523,
0.09795833379030228... |
Teacher: In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Review: My cat won't touch these. My dog, however, chews them and makes a mess all over the carpet and I can't get the shredded sticks out! Messy. Waste of money!
Summary: Cat hates them
Solution: True
Reason: The answer is True. Because it's a correct summary where the owner mentioned their cat hated the product.
Now, solve this instance: Reviews: Not sure what other reviewers are referring to when they say this book is informative. Perhaps they're fake reviews, perhaps they received a different book. No extra info about ketogenic diet, it is purely a cook book - which is fine. However, no information regarding quick release vs natural release, which defeats the whole purpose of a instant pot cook book, no? Some of these recipes are incredibly silly - assuming one has an instant pot large enough to fit muffin tins and cake pans. Don't purchase.
Summary: My first week the hair was fine although there was a lot of shedding
Student: | False | 2 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.4581737220287323,
-0.1755847930908203,
-0.471237450838089,
-0.36450886726379395,
-0.2559877336025238,
-0.7255549430847168,
0.36580249667167664,
0.8572757244110107,
-0.5156794786453247,
0.15521040558815002,
-0.3541554808616638,
-0.1366075873374939,
-1.0394164323806763,
-0.255262702703475... |
Teacher:In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Teacher: Now, understand the problem? Solve this instance: Text: so apparently you're not supposed to thaw out a frozen turkey using hot water. i thought i was being slick and sped up the de-thawing process by keeping the turkey submerged in very hot water.
what happened instead was i assisted in decomposition. the following day the turkey was bloated and the gasses made the plastic it was incased in inflate like a balloon. as you can imagine, it smelled pretty bad especially once we popped the plastic.
still trying to air out the house.
Student: | TIFU and created a rotten corpse. | 6 | NIv2 | task510_reddit_tifu_title_summarization | zs_opt | [
-0.60394287109375,
0.5044328570365906,
0.568926215171814,
-0.2880403697490692,
0.4465671181678772,
-0.4596098065376282,
0.0738997757434845,
0.04389544576406479,
-0.1438150703907013,
0.5662733316421509,
0.16301694512367249,
-0.4309765696525574,
-1.2291018962860107,
-0.029057182371616364,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
[EX Q]: Sentence 1: Two males seem to be conversing while standing in front of a truck's back, and behind a metal item, while four people stand around them. Sentence 2: The two males are alone in the woods
[EX A]: The group of men are about to get intoa fight
[EX Q]: Sentence 1: A bearded man in blue jeans on a skateboard is jumping over a shopping cart. Sentence 2: A bearded man in blue jeans eats a burger.
[EX A]: A bearded man in blue jeans goes around a shopping cart on a skateboard.
[EX Q]: Sentence 1: A man dressed in gray is standing outside of an ice cream cart while a police office directs traffic in the background. Sentence 2: A man is dressed in white.
[EX A]: | A man is dressed in light gray.
| 6 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
-0.10292457789182663,
0.34482091665267944,
-0.11208635568618774,
-0.49535471200942993,
0.015710996463894844,
0.4101479947566986,
-0.5992571115493774,
1.0151290893554688,
0.28240901231765747,
-0.04686664789915085,
-0.8961919546127319,
-0.19628891348838806,
-0.27675506472587585,
-0.189540579... |
Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship with its holonym (i.e., input entity).
Example Input: giraffe
Example Output: patch
Example Input: wind pollinate flower
Example Output: or petal
Example Input: tundra
Example Output: | fungus
| 3 | NIv2 | task471_haspart_answer_generation | fs_opt | [
-1.0030803680419922,
0.7563449144363403,
0.16443179547786713,
0.032816700637340546,
-0.516720175743103,
-0.598270058631897,
-0.6033213138580322,
0.24287578463554382,
0.4103098511695862,
-0.8214036226272583,
-0.9902803897857666,
0.3264085650444031,
-0.4293009042739868,
0.09050720185041428,
... |
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.
Example Input: Statement: And suddenly a dread clutched at his heart.
Label: contradiction.
Genre: fiction.
Example Output: A feeling of giddy relief took hold of heart.
Example Input: Statement: GAO needs to efficiently use the time available to complete its work to minimize the impact on the agency being reviewed and to meet the time frames of the congressional requester(s).
Label: contradiction.
Genre: government.
Example Output: The congressional requesters have a time frame of this week.
Example Input: Statement: Maybe the face is plastic surgery after the accident--but this isn't even my body." The girl's expression softened.
Label: neutral.
Genre: fiction.
Example Output: | Something was seriously wrong with her body.
| 3 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.40065109729766846,
0.3083914816379547,
-0.231320321559906,
0.01539943739771843,
0.19189533591270447,
-0.5170961618423462,
0.061424076557159424,
0.897574245929718,
-0.16938070952892303,
0.16281817853450775,
-0.09731906652450562,
-0.46162304282188416,
-0.5798377394676208,
-0.5189805030822... |
You will be given a definition of a task first, then some input of the task.
You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
System Reference: marlowe, is near the mission bay.
Original Reference: marlowe is near mission bay.
Output: | 1 | 1 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-0.5112929344177246,
0.8495386838912964,
-0.5708175897598267,
-0.12382298707962036,
0.03995925933122635,
-0.3518323600292206,
1.056939959526062,
0.25671589374542236,
0.3080371022224426,
0.15449747443199158,
-0.39051488041877747,
-0.35876816511154175,
-0.08653877675533295,
-0.20380520820617... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example Input: Tweet: #SouthCarolina is full of white trash
Label: Hate Speech
Example Output: true
Example Input: Tweet: HOT #ISIS SOCIAL MEDIA PHOTO: Laughing Jihadis Get Baby To Kick Severed Head – ***warning, graphic*** http://t.co/XdpSzwj6sK #lnyhbt #tgdn
Label: Offensive
Example Output: false
Example Input: Tweet: @Levi_Page I don't bend that way queer. Thanks for the offer it's flattering.
Label: Hate Speech
Example Output: | true
| 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-0.9391827583312988,
0.42042770981788635,
0.66971755027771,
0.29102861881256104,
-0.5046509504318237,
-1.0816473960876465,
-0.25797906517982483,
1.1032274961471558,
0.3868359327316284,
0.33467650413513184,
-0.0006322009721770883,
0.05098641291260719,
-0.35222652554512024,
-0.49944943189620... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is used for the Tail or not. The usage describes everyday affordances or uses of objects and includes both typical and atypical uses. For example, a popcorn bucket can typically be used to hold popcorn, but it could also serve as a hat in atypical situations. 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 adapts ___ to conditions<sep>Tail: happy because the movie was good, | No | 0 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.11219167709350586,
0.35578906536102295,
0.31860029697418213,
0.005670377053320408,
-0.5734031796455383,
-0.610389232635498,
1.0653321743011475,
0.3396701216697693,
-0.5192041397094727,
-0.4918939769268036,
-0.8049118518829346,
-0.5393142700195312,
-0.4979539215564728,
0.22723227739334106... |
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