inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
TASK DEFINITION: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
PROBLEM: (ﺿﺤﻜﺎﺕ) ﻣﻦ ﺍﻟﻨﺎﺩﺭ ﺟﺪﺍ ﺍﻥ ﻳﻨﺘﻘﻞ ﺍﻟﺴﺮﻃﺎﻥ ﺑﻴﻦ ﺍﻟﺒﺸﺮ
SOLUTION: (خنده ی حاضرین) احتمالا این خیلی نادره سرطانها که بین آدمها منتقل بشن.
PROBLEM: وحوالي نفس الوقت ، وأعتقد جزئياً بسبب ذلك ، بدأت في عمل شئ أ... | بعد هم گلوله کردنِ اون برچسب — میدونین منظورم چیه.
| 8 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.23381057381629944,
0.4789363443851471,
-0.23394054174423218,
-0.662738561630249,
-0.9807066321372986,
0.5263420939445496,
1.3461151123046875,
0.2886406183242798,
0.28802311420440674,
-0.15912270545959473,
-1.2180302143096924,
0.2878251075744629,
-0.5821860432624817,
0.9197534322738647,
... |
Detailed Instructions: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line characte... | Not Answerable | 4 | NIv2 | task290_tellmewhy_question_answerability | fs_opt | [
-0.12882989645004272,
-0.057137612253427505,
0.4097253680229187,
0.5034985542297363,
-0.0721094161272049,
-0.8683709502220154,
0.2764589190483093,
0.503467857837677,
0.2669377326965332,
0.2842589020729065,
-0.7038981914520264,
0.11762216687202454,
-0.17667123675346375,
0.21088078618049622,... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Q: آیا براى ایشان بس نیست که این کتاب را که بر آنان خوانده مىشود بر تو فرو فرستادیم؟ در حقیقت، در این [کار] براى مردمى که ایمان دارند، رحمت و یادآورى است.
A: | Is it not sufficient for them that We have revealed the Book to you which is read out to them? It is indeed a grace and reminder for people who believe. | 4 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.838820219039917,
0.7949388027191162,
0.059425368905067444,
-0.19220136106014252,
-0.43239253759384155,
-1.03445303440094,
1.7484540939331055,
-0.10536684095859528,
0.5980319976806641,
-0.49591273069381714,
-0.5717177987098694,
0.8100091218948364,
-0.6477326154708862,
1.0942212343215942,... |
Part 1. Definition
In this task, given a sentence in English Tokens, your task is to convert it into the English language
Part 2. Example
The adult literacy program Read Santa Clara marked its tenth anniversary today with a gathering of program participants , staff , and supporters from the community .
Answer: The adul... | These people are incapable of running the NSBIH properly, although this situation is partly a result of political orders because Bosnia is an ethnically divided country where a dysfunctional system has now caught up with football. | 7 | NIv2 | task547_alt_translation_entk_en | fs_opt | [
0.7117153406143188,
0.4477090835571289,
0.6595120429992676,
-0.038941849023103714,
0.31901857256889343,
-0.38738110661506653,
0.447611540555954,
0.45326054096221924,
0.5167583227157593,
0.22274845838546753,
-0.20384450256824493,
-0.016459720209240913,
-0.6997404098510742,
-0.09210506081581... |
Part 1. Definition
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existin... | They did not incubated the cocoons. | 7 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.23806002736091614,
0.5544310808181763,
-0.4652371406555176,
-0.00996399112045765,
0.0532054603099823,
-0.0892101377248764,
0.1193840354681015,
0.23516729474067688,
-0.3686009347438812,
-0.36186379194259644,
-0.2552221417427063,
0.28450149297714233,
-0.5720216035842896,
-0.412058472633361... |
Given the task definition and input, reply with output. Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Category: window material
Words: frame, lead, dish, handle, glass
| dish | 5 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
-0.5717830061912537,
0.85365891456604,
0.06395754218101501,
0.0002894073259085417,
0.02303696610033512,
0.16723713278770447,
-0.12728102505207062,
0.22870710492134094,
0.1329096257686615,
0.011293640360236168,
-0.5109157562255859,
-0.3776978850364685,
-0.5021135807037354,
0.378997355699539... |
You need to read the given passage and construct a question about the information present in the passage. The question should be answerable from the passage. Most importantly, only those questions are allowed whose answers cannot be determined from a single sentence. Do not generate questions that require only a single... | Who did Thorndike think that Andrews was taking him to see? | 4 | NIv2 | task048_multirc_question_generation | zs_opt | [
0.1769898235797882,
0.9398332834243774,
-0.5602249503135681,
-0.2512732446193695,
0.21618318557739258,
-1.239284634590149,
0.3584960401058197,
0.3603469729423523,
0.6056471467018127,
0.27261868119239807,
-0.3232206106185913,
0.5050538778305054,
-0.8587568998336792,
0.02516809105873108,
-... |
Detailed Instructions: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Q: Even though this item is listed under the Gluten free category, it is not. The ingredients state that... | True | 9 | NIv2 | task587_amazonfood_polarity_correction_classification | zs_opt | [
-0.8080024123191833,
-0.12780702114105225,
0.5659976005554199,
-0.5440282821655273,
0.04961121827363968,
-0.9354540109634399,
0.44073864817619324,
0.3221069574356079,
0.27042970061302185,
-0.0008649241644889116,
-0.7763760089874268,
-0.14085575938224792,
-0.23335441946983337,
-0.2844493389... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
[Q]: الآن, ما فعله لم يعتاد أن يطلق إسم عليه لكني أعتقد إنها تحولت بسرعة وأصبحت موائمة للجميع.
[A]: 当時は名前も無かった彼の行動が今一気に注目を集め始めている
[Q]: والحقن أمر قيّم للغاية ، حتى أن الناس يثقون في الأساس بالطبيب ، كونه قريب من الخالق ، ... | そこでお見せしたいものがあります
| 5 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
0.1079263836145401,
0.3575487732887268,
-0.29456406831741333,
-0.5477546453475952,
-0.387888640165329,
-0.4782722294330597,
1.255875587463379,
0.10405543446540833,
0.441478431224823,
-0.5874066948890686,
-0.5324069261550903,
0.4532824158668518,
-0.7952588796615601,
0.24817031621932983,
0... |
Q: Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
Young bees spend the first ____ to three weeks of their lives carrying out functions within the hive.\Question: Choose the right answer from opt... | d | 7 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | zs_opt | [
0.17257487773895264,
0.7213122248649597,
-1.0476784706115723,
-0.35201096534729004,
-0.47929590940475464,
-0.9364592432975769,
-0.09857072681188583,
1.048054575920105,
-0.18048636615276337,
0.37148743867874146,
-0.3453497886657715,
-0.49026402831077576,
-0.34095877408981323,
-0.10420650243... |
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Si usted corre para pasar un curso entonces usted debe explorar la velocidad del curso.
| 5 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.25930753350257874,
0.6586771011352539,
-0.33931028842926025,
-0.2715281546115875,
-0.025068707764148712,
-0.7698001861572266,
0.39545172452926636,
1.5755364894866943,
-0.16431590914726257,
-0.4214547574520111,
-0.20295870304107666,
-0.47339367866516113,
-0.3978436589241028,
0.0854895114... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sente... | 7, 8.
| 7 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
0.12606003880500793,
0.26878324151039124,
-0.46934735774993896,
-0.6554422378540039,
0.34558963775634766,
-0.3752332031726837,
0.6839877367019653,
0.849607527256012,
-0.47998881340026855,
-0.19781342148780823,
-0.927087664604187,
0.23168796300888062,
-0.6896669268608093,
-0.211321145296096... |
instruction:
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
question:
Article: crude oil prices surged above ### dollars a barrel in new york monday , lifted by a declining dolla... | no
| 9 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.549392580986023,
0.38312453031539917,
-0.16796785593032837,
0.18919870257377625,
-0.362515389919281,
0.09191180765628815,
0.07183919101953506,
0.6133482456207275,
-0.014377130195498466,
0.3011883497238159,
-0.22322216629981995,
-0.5519924163818359,
-1.0133190155029297,
-0.06422433257102... |
Given the task definition and input, reply with output. You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Harry feels disappointed.
| male | 5 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.4289478659629822,
0.6508786678314209,
-0.13280488550662994,
-0.6234807372093201,
-0.149916410446167,
-0.43819159269332886,
0.13491752743721008,
0.1894604116678238,
0.6454521417617798,
-0.2150435447692871,
-1.2726714611053467,
-0.039958406239748,
-0.1792314201593399,
-0.0989907830953598,... |
Detailed Instructions: Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Problem:tongueless
Solution: | tongued | 8 | NIv2 | task1508_wordnet_antonyms | zs_opt | [
0.30056047439575195,
1.798870325088501,
0.8449752926826477,
-0.4647158980369568,
-0.3013336658477783,
-0.8671177625656128,
-0.04015441611409187,
0.5499634146690369,
0.13591167330741882,
-0.6994737386703491,
-0.9860438108444214,
-0.9161654710769653,
-1.3984851837158203,
-0.16119185090065002... |
Detailed Instructions: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating quest... | Are gene family expansions and contractions associated with host range in plant pathogens of the genus Colletotrichum? | 9 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.7737609148025513,
0.08780873566865921,
-0.6557761430740356,
0.16805624961853027,
0.2898526191711426,
-0.3712036609649658,
0.6335225701332092,
0.7098446488380432,
0.14449307322502136,
0.24185341596603394,
-0.3159007728099823,
0.3465193510055542,
-1.0783060789108276,
0.0006311233155429363,... |
Detailed Instructions: In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweet... | Neutral | 9 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | zs_opt | [
-0.3482641577720642,
0.3060326874256134,
-0.25815168023109436,
0.5527863502502441,
-0.13375285267829895,
-1.1698532104492188,
0.18052923679351807,
0.841010332107544,
0.5159738063812256,
0.6447260975837708,
-0.20823971927165985,
-0.010575165040791035,
-0.040365613996982574,
-0.2363758087158... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn th... | what requires water for survival? | 8 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.40128543972969055,
1.1781773567199707,
-0.1885707676410675,
0.08580891788005829,
-0.6073331236839294,
-1.1736605167388916,
0.4475909471511841,
0.7299703359603882,
0.03195200860500336,
-0.3589577078819275,
-1.4844744205474854,
0.39910823106765747,
-0.5872642397880554,
-0.02352083101868629... |
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "d... | 0.
| 0 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.1788967102766037,
0.3445977568626404,
-0.5957469940185547,
0.14695250988006592,
0.527603805065155,
-0.012039855122566223,
0.9788779020309448,
0.32219481468200684,
-0.1664198338985443,
0.37921881675720215,
-0.3754534125328064,
0.7928274869918823,
-0.7898116111755371,
0.4184337854385376,
... |
instruction:
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
question:
Sentence-1: Well, my ears are still bleeding if that is any indication.<sep>Sentence-2: I have heard the latest Selena Gomez song .
answer... | Yes
| 9 | NIv2 | task566_circa_classification | fs_opt | [
-0.350390762090683,
0.3660753071308136,
-0.13731876015663147,
0.025053899735212326,
0.5392987132072449,
-0.5936790108680725,
0.3667098879814148,
0.4445711374282837,
-0.45588943362236023,
0.04607490450143814,
0.535530686378479,
-0.5008293390274048,
-0.3759007453918457,
-0.2616967558860779,
... |
Instructions: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given ... | None | 3 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
-0.5976607799530029,
0.5400000214576721,
-0.17186111211776733,
-0.6653903126716614,
0.23207232356071472,
-0.33158308267593384,
0.8315709829330444,
0.3600803017616272,
0.3927173614501953,
-0.2913700342178345,
-0.23078767955303192,
-0.10048652440309525,
-0.1961282193660736,
0.077378988265991... |
Given the task definition and input, reply with output. In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectiv... | (8, 9) | 5 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.5430278778076172,
0.682565450668335,
0.10661143064498901,
-0.7192525863647461,
0.2167646884918213,
-0.38234302401542664,
0.5523993968963623,
0.19044655561447144,
0.37052154541015625,
-0.13149337470531464,
-0.44660240411758423,
-0.04988700896501541,
-0.2398321032524109,
-0.01594388484954... |
Teacher: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
In the beginning God created the heaven and the earth.
Solution: در ابتدا، خدا آسمانها و زمین را آفرید.
Re... | واگر اذیتی دیگر حاصل شود، آنگاه جان به عوض جان بده. | 2 | NIv2 | task655_bible_en_fa_translation | fs_opt | [
-0.2503772974014282,
1.3642395734786987,
-0.33409383893013,
-0.4671483039855957,
-0.17124266922473907,
-0.8770089149475098,
1.0130548477172852,
0.8114925622940063,
0.35579586029052734,
0.9638233184814453,
-0.18692301213741302,
0.010618207976222038,
-0.7479565739631653,
-0.2926403880119324,... |
TASK DEFINITION: In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on the label and the premise sentence. Your... | تصمیم گرفتم انجامش بدم و انجامش دادم.
| 8 | NIv2 | task464_parsinlu_entailment_sentence_generation | fs_opt | [
-0.706997275352478,
0.5324696898460388,
-0.3668838441371918,
0.06437859684228897,
-0.4404207468032837,
0.3070140480995178,
0.42209047079086304,
0.24202078580856323,
0.4475398659706116,
-0.658623456954956,
-0.5586428642272949,
0.2736304700374603,
-0.35464659333229065,
-0.13752570748329163,
... |
Instructions: This task is about translating a given Yoruba language sentence to English.
Input: Ọwọ́ ní ń tún ara ṣe.
Output: | The hands are the agents for grooming the body. | 3 | NIv2 | task1686_menyo20k_translation | zs_opt | [
0.7107474207878113,
1.5779521465301514,
0.14897623658180237,
0.2797035574913025,
-0.32581424713134766,
-0.3777448236942291,
-0.466892272233963,
0.966468095779419,
0.2990550696849823,
0.31260955333709717,
0.6368368268013,
0.1174636036157608,
-0.7172449827194214,
-0.04274440556764603,
0.57... |
Part 1. Definition
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determin... | WDT | 7 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
0.496110737323761,
0.6711937189102173,
-0.45666593313217163,
0.5008065700531006,
-0.06925766170024872,
-0.6704965829849243,
0.8593394756317139,
0.6568183898925781,
-0.6116718649864197,
0.2578447163105011,
-0.29897016286849976,
0.2101973295211792,
-0.18494056165218353,
0.14579127728939056,
... |
Given a prompt and two completions from a language model, select the completion that is more topical with respect to continuing the prompt. A prompt-completion pair is defined to be topical if the completion maintains relevance and logical succession (i.e. stays on topic) with the prompt. The flow from the prompt to th... | Completion A
| 6 | NIv2 | task139_detoxifying-lms_classification_topicality | fs_opt | [
0.03228812664747238,
0.38378646969795227,
-0.12816768884658813,
-0.11485402286052704,
-0.6641623973846436,
-0.5448175668716431,
0.5036532878875732,
0.9360222220420837,
-0.15502294898033142,
0.14926162362098694,
-0.6985185146331787,
0.25270920991897583,
0.07068108022212982,
0.18625628948211... |
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
[EX Q]: Den 26 november 1999 godkände Europeiska kommissionen ett åtgärdsp... | This seems to be the pattern of events that has emerged after the use of depleted uranium weapons in the Gulf war.
| 6 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
-0.4374431371688843,
0.814786434173584,
0.4876200556755066,
-0.6055399179458618,
0.15242502093315125,
-0.6301270723342896,
0.698194146156311,
0.6187681555747986,
0.4788672924041748,
0.6060978174209595,
0.2292488068342209,
1.0005536079406738,
-0.35911643505096436,
-0.12332142144441605,
0.... |
Given the task definition and input, reply with output. In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
I am.
| آجل | 5 | NIv2 | task651_opus100_en_ar_translation | zs_opt | [
0.07361885905265808,
0.38519003987312317,
0.7427222728729248,
-0.20635570585727692,
-0.163751482963562,
-0.10309542715549469,
-0.13580423593521118,
0.12829086184501648,
0.6742656230926514,
0.11848308145999908,
-0.6325781941413879,
0.322242796421051,
-0.7396615743637085,
-0.0802891254425048... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Q: 私には飼い犬がいます私は運を信じるかはわかりませんし何を信じているのかも複雑すぎてわかりませんが私は旅に出る前に愛犬のしっぽを７回ぐるぐる回します
A: | Dobra wiadomość to ta, że mam psa i, chociaż nie wiem, czy wierzę w szczęście — nie wiem, w co wierzę, to bardzo skomplikowane — ale wiem, że zanim wychodzę z domu, kręcę jego ogonem 7 razy. | 9 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
-0.43314164876937866,
0.2906010150909424,
-0.037513505667448044,
-0.0059843845665454865,
-0.6532972455024719,
-0.684524655342102,
-0.3494970500469208,
-0.37801870703697205,
-0.700041651725769,
-1.0887606143951416,
0.08902815729379654,
0.7747663855552673,
-0.27015891671180725,
-0.0950538516... |
Q: Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn... | Combustion is used to produce what? | 7 | NIv2 | task040_qasc_question_generation | zs_opt | [
0.7518825531005859,
0.9616130590438843,
0.08629346638917923,
-0.04574986547231674,
-0.8693854808807373,
-1.0801341533660889,
0.7077243328094482,
0.9812259674072266,
0.1897640973329544,
-0.5961315035820007,
-1.077746868133545,
-0.03407418727874756,
-0.4400978684425354,
0.09001447260379791,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences a... | 2 | 1 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.06583524495363235,
0.6737300157546997,
-0.4078894853591919,
0.01781107485294342,
0.3433298170566559,
0.003451358526945114,
-0.03239193558692932,
1.1055328845977783,
0.17807704210281372,
-0.02613779529929161,
-0.49071234464645386,
0.010066458955407143,
0.2577313482761383,
-0.462372452020... |
Given the task definition and input, reply with output. Given a sentence in English, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
This species can be found in Papua New Guinea , Bismarck Archipelago : New Britain ; Woodlark Isla... | Esta especie se puede encontrar en New - Britannia, Bismarck - archipelago: Woodlark Island, Papua - New Guinea, West Papua y Aru - Islands. | 5 | NIv2 | task779_pawsx_english_spanish_translation | zs_opt | [
0.14726276695728302,
0.47890788316726685,
-0.32178932428359985,
-0.6675038933753967,
0.021686214953660965,
0.22609470784664154,
0.5757034420967102,
-0.314849853515625,
0.6665898561477661,
-0.15745478868484497,
0.17513920366764069,
0.5408815741539001,
-0.6101068258285522,
0.2551769912242889... |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make ... | They have been given bad news .
****
| 4 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
0.5064634680747986,
0.7187497019767761,
0.2602693438529968,
-0.05205133557319641,
0.3132599890232086,
-0.7397828698158264,
0.562098503112793,
0.8558990955352783,
-0.2641124129295349,
0.20245078206062317,
0.14723394811153412,
-0.1482449471950531,
-0.5136922597885132,
-0.27165040373802185,
... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location ... | None | 9 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
0.2643853724002838,
0.28472140431404114,
-0.3944034278392792,
-0.5810724496841431,
-0.7024725675582886,
-0.04845043644309044,
0.8647410869598389,
0.011315423995256424,
0.20251141488552094,
-1.0236800909042358,
-0.17358726263046265,
1.0073459148406982,
-0.637728214263916,
-0.080202333629131... |
In this task, you are given a question and a corresponding answer. Your task is to generate a fact statement that is useful in answering the given question.
Question: Skittles left in snow become? Answer: hard.
something in a cold place becomes cold
Question: A shoe seems gold and green at first, then at second glanc... | a prism refracts light
| 0 | NIv2 | task1401_obqa_sentence_generation | fs_opt | [
-0.15907564759254456,
0.8729581236839294,
-0.5846543312072754,
-0.07467281073331833,
-0.527035117149353,
-0.11471279710531235,
0.3736657500267029,
0.800210177898407,
0.1091490089893341,
-0.6022870540618896,
-0.24693602323532104,
0.6156506538391113,
-0.9503931999206543,
0.614280104637146,
... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
الآن ، هل يهتم المصممون فعلاً بهذا ؟
A: | עכשיו, האם למעצבים למעשה אכפת מזה? | 7 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.6908949613571167,
0.5941849946975708,
0.01722211018204689,
-0.23956476151943207,
-0.5940865874290466,
-0.31169599294662476,
0.4070867598056793,
0.026360657066106796,
0.8538582921028137,
-0.3859412968158722,
-0.11579559743404388,
0.06970690190792084,
-0.1926954686641693,
0.35575109720230... |
Part 1. Definition
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Part 2. Example
Italy have defeated Portugal 31-5 in Po... | ブリスベンの多くの信仰深い学校は、ギャンブルへの懸念からレースを見せないことを選んだ。 | 7 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.017904112115502357,
0.8308683633804321,
0.024927405640482903,
0.1877920925617218,
0.07591213285923004,
-0.10131833702325821,
0.5865650177001953,
0.5205199122428894,
0.2609531879425049,
-0.7087792158126831,
-0.7461990714073181,
0.5608342885971069,
-0.5172805786132812,
0.3153236508369446,... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Q: Reviews: Broke first time we used. Smaller than expected ... | False | 4 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.14243164658546448,
0.41142967343330383,
-0.14587092399597168,
-1.0907559394836426,
-0.37481293082237244,
-0.8585671186447144,
0.8833117485046387,
0.7869758605957031,
-0.5970273017883301,
0.45890212059020996,
-0.618064284324646,
-0.3931694030761719,
-0.5393869876861572,
0.232957959175109... |
Given the task definition and input, reply with output. You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
E... | worried. | 5 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.03607001155614853,
0.19988051056861877,
0.3506186306476593,
0.2405741661787033,
-0.21157455444335938,
-0.2997797131538391,
0.6774741411209106,
0.4848990738391876,
0.13607263565063477,
-0.20709310472011566,
0.1633150279521942,
-0.3873370885848999,
-0.5424416065216064,
-0.21268117427825928... |
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Example input: [header] How to create a christmas tree forest [title] Consider the type of tree yo... | B | 3 | NIv2 | task1389_hellaswag_completion | fs_opt | [
0.27668705582618713,
0.32509738206863403,
-0.4839361608028412,
-0.36706510186195374,
-0.0871654599905014,
-0.501272976398468,
0.7793816924095154,
0.9125037789344788,
0.08332858979701996,
0.2999386191368103,
0.22586342692375183,
-0.3802255094051361,
0.1837507039308548,
0.07907689362764359,
... |
Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and th... | He falls to the floor. He is shaking and crying for help. He gets help and sent to a hospital.
| 0 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.7082898616790771,
0.5791871547698975,
-0.12349749356508255,
0.4319007992744446,
0.09842449426651001,
-0.9667852520942688,
0.0036588229704648256,
0.8000600337982178,
0.09703890979290009,
-0.16658639907836914,
-0.228554829955101,
0.43285322189331055,
-0.3076770007610321,
0.2432244420051574... |
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correc... | Saffir-Simpson.
| 5 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.556652307510376,
0.4915086627006531,
-0.25666970014572144,
-0.2075294852256775,
-0.11588189750909805,
-1.5367038249969482,
0.3817174434661865,
0.47165119647979736,
0.44776591658592224,
0.4293071925640106,
-0.677606463432312,
0.4394944906234741,
-0.6466321349143982,
-0.10061517357826233,
... |
Definition: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = ... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIF... | 2 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.4198368191719055,
0.15282219648361206,
-0.1571919023990631,
-0.35945725440979004,
0.3860825002193451,
-0.9021584987640381,
0.19351132214069366,
0.8458134531974792,
0.08558417856693268,
0.28037357330322266,
-0.3071087598800659,
-0.38627704977989197,
-0.4476791024208069,
-0.182893902063369... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a ... | green_treasure_chest
****
| 4 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.3610919713973999,
0.26811766624450684,
-0.6810777187347412,
-0.4682989716529846,
-0.42837101221084595,
-1.0354291200637817,
-0.26131507754325867,
0.8116316795349121,
0.4329962730407715,
-0.16525685787200928,
-0.7105762958526611,
0.4142895042896271,
0.22997304797172546,
0.1417014598846435... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Q: Venezuela: Pictures of Election Day · Global Voices
A: | ونزوئلا: عکسهایی از روز انتخابات | 4 | NIv2 | task663_global_voices_en_fa_translation | zs_opt | [
-0.015708910301327705,
0.4715110659599304,
-0.40785160660743713,
0.6251604557037354,
-0.8941228985786438,
-0.035980477929115295,
0.10717910528182983,
1.1559510231018066,
-0.04522623121738434,
0.43986088037490845,
0.13402307033538818,
0.19137662649154663,
0.9703572988510132,
0.6972066164016... |
Detailed Instructions: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Problem:Context... | who says viral hemorrhagic fever has never been transmitted in the usa? | 8 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-0.7379982471466064,
0.4260641038417816,
-0.3425278067588806,
-0.32346004247665405,
-0.0472215935587883,
-0.6896212697029114,
0.5332539081573486,
0.2224763184785843,
0.26223835349082947,
-0.27611079812049866,
-0.08109793066978455,
0.4538901150226593,
-0.6480089426040649,
0.2058687955141067... |
Instructions: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Input: passage: The Marine Corps has been a component of the U.S. Department of the Navy since 30 June 1834, working closely with naval forces. The US... | Yes | 3 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
-0.1879645735025406,
0.4690910577774048,
-0.3011879324913025,
-0.14483922719955444,
0.15695405006408691,
-1.0959372520446777,
1.0789480209350586,
0.23202455043792725,
0.1513691246509552,
0.7867742776870728,
0.028951361775398254,
-0.4081893563270569,
-0.7270768880844116,
0.16732197999954224... |
Instructions: You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Input: Sentence1: Thanks! You're very welcome! You have a great day too! Sentence2: It's an expensive restaurant in the south. It serves indian food. Sentence3: Your booking wa... | Answer: (B) System | 3 | NIv2 | task638_multi_woz_classification | zs_opt | [
0.6947909593582153,
0.7701138257980347,
-0.4881935715675354,
-0.2092902958393097,
-0.5988216996192932,
-0.1243588775396347,
0.4894031584262848,
-0.09385078400373459,
-0.4056635797023773,
-0.7070509195327759,
-0.06596630811691284,
-0.32844170928001404,
-0.5604580044746399,
0.282412946224212... |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Q: 3rd Transformer movie brilliant in 3D. The images and colours on blu ray show the movie to its full effeect. Sound on dolby digital perfect. Worth buying for a fun packed couple of hours.
A: | Positive | 4 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.3594028353691101,
-0.31139978766441345,
0.15478196740150452,
-0.15060287714004517,
0.1333933174610138,
0.6975592970848083,
0.806495189666748,
0.08506764471530914,
0.11258998513221741,
0.4079597294330597,
-0.0326702855527401,
-0.26839518547058105,
-0.15740272402763367,
-0.615874171257019... |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: ये मेरे देश के मतदाताओं की ताकत है।
Solution: हे माझ्या देशाच्या मतदारांची शक्ती आहे.
Explanation: Cor... | भारतातील तरुणांसाठी रोजगाराच्या संधी उपलब्ध व्हाव्या यासाठी आम्ही निर्मिती क्षेत्राला प्रोत्साहन देण्याचे काम करीत आहोत. | 4 | NIv2 | task1081_pib_translation_hindi_marathi | fs_opt | [
0.5564837455749512,
0.33130747079849243,
0.06315930187702179,
0.15870937705039978,
0.05810211971402168,
-1.2643117904663086,
0.6902657151222229,
0.12685343623161316,
-0.4184924364089966,
0.05861414223909378,
-0.8833727240562439,
-0.521971583366394,
-0.479168564081192,
-0.1438496708869934,
... |
In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Q: The European Union and Humanitarian Aid (vote)
A: | Европейски съюз и хуманитарна помощ (вот) | 4 | NIv2 | task272_europarl_translation | zs_opt | [
-0.0013036711607128382,
0.9650988578796387,
0.3802921175956726,
0.31749895215034485,
-0.0218393262475729,
-1.1843714714050293,
0.6637101173400879,
0.4568202495574951,
0.46812713146209717,
0.10354627668857574,
0.08919167518615723,
0.4277009069919586,
-0.028180044144392014,
-0.59042412042617... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Let me give you an example: JkbloNUq, nYblowj
The answer to this example can be: b, j, k, l, n, o, q, u
Here is why: Here, 'Jkbl... | a, c, d, e, f, g, j, k, m, n, o, q, r, t, u, v, x, y | 8 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.28478094935417175,
1.667647123336792,
-0.731460690498352,
-0.7987915277481079,
0.0598776638507843,
-0.3700054883956909,
1.1270887851715088,
-0.3263818323612213,
-0.07111340761184692,
0.392660915851593,
-0.030938729643821716,
-0.02813408337533474,
-0.17198090255260468,
0.1690635979175567... |
Given the task definition and input, reply with output. In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
By the Canopy Raised High;
| و به آن سقف برافراشته، | 5 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.5708386301994324,
1.2958475351333618,
-0.013292122632265091,
-0.6348212957382202,
-0.35727548599243164,
-0.1294148862361908,
0.43237751722335815,
0.7756355404853821,
-0.16077199578285217,
0.044112250208854675,
-0.2897094786167145,
0.6153654456138611,
-1.1691997051239014,
0.7054284811019... |
Definition: You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only ... | B | 2 | NIv2 | task229_arc_answer_generation_hard | zs_opt | [
0.7945746183395386,
0.5336606502532959,
-0.4046087861061096,
-0.6157534718513489,
-0.9043065309524536,
-0.30451205372810364,
0.9751147031784058,
0.03933161869645119,
0.03793102875351906,
-0.4662033021450043,
-0.46468591690063477,
0.03502363711595535,
0.059067584574222565,
-0.01499152649194... |
Q: A text is given in Panjabi. Translate it from the Panjabi language to the Telugu language. The translation must not omit or add information to the original sentence.
ఉత్పత్తి యొక్క భద్రత, పరివర్తన, పంపిణీ మరియు ఆహారం సరఫరా;
A: | ਠ) ਉਤਪਾਦਨ, ਟਰਾਂਸਫਾਰਮੇਸ਼ਨ, ਵੰਡ ਅਤੇ ਖ਼ੁਰਾਕ ਦੀ ਡਲਿਵਰੀ ਦੀ ਸੁਰੱਖਿਆ। | 7 | NIv2 | task1066_pib_translation_telugu_punjabi | zs_opt | [
0.1914975643157959,
0.8296724557876587,
0.2815978229045868,
0.7435786128044128,
-0.35415178537368774,
-1.5213972330093384,
-0.08571787923574448,
0.4620274305343628,
-0.7331002354621887,
-0.1665065586566925,
-0.5172725915908813,
-0.782188892364502,
-1.1405274868011475,
-0.11271965503692627,... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer... | NNP | 1 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.9786185026168823,
0.5110792517662048,
-0.18810471892356873,
0.441706120967865,
0.369288831949234,
-0.3393956422805786,
0.8296480178833008,
0.907151460647583,
-0.8516249656677246,
0.11437367647886276,
-0.025268133729696274,
0.525589644908905,
-0.12803563475608826,
-0.08295106142759323,
... |
Part 1. Definition
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
Part 2. Example
M: I am considering dropping my dancing class. I am not making any prog... | (C) See Professor Smith. | 7 | NIv2 | task247_dream_answer_generation | fs_opt | [
0.17709064483642578,
-0.05602060258388519,
-0.41690945625305176,
-0.5136115550994873,
0.3219408392906189,
0.047879431396722794,
0.3571128249168396,
0.15768146514892578,
0.6590533256530762,
-0.3233199119567871,
-0.24249686300754547,
-0.14820918440818787,
-0.08432178944349289,
-0.16974367201... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a min... | What is Hades's spouse's name? | 0 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | fs_opt | [
0.9054948091506958,
0.3220318555831909,
-0.8150984048843384,
-0.17130827903747559,
-0.19094814360141754,
-0.3296375274658203,
1.029967188835144,
0.5565099716186523,
0.1374146193265915,
0.13092926144599915,
0.28762975335121155,
1.0382267236709595,
-1.3187774419784546,
0.30658283829689026,
... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Q: Comment: Fuck Tr... | Toxic | 9 | NIv2 | task327_jigsaw_classification_toxic | zs_opt | [
-1.0980356931686401,
0.6570515036582947,
0.9175186157226562,
0.4135821759700775,
-0.029561065137386322,
-0.4252268671989441,
0.5157926082611084,
0.4705396294593811,
0.25575271248817444,
0.7113168835639954,
0.0041925860568881035,
0.17045274376869202,
-0.4143304228782654,
-0.811002790927887,... |
Teacher:In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Teacher: Now, understand the problem? Solve this instance: Robert usually didn't like fish as much as Kyle however _ had a disliking for sardines ... | B | 6 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
-0.4804232716560364,
0.3437997102737427,
0.14113160967826843,
-0.7882357835769653,
-0.11649522185325623,
-0.8303208351135254,
1.0476875305175781,
0.05697500705718994,
0.348475843667984,
0.006558943074196577,
1.0825104713439941,
0.018250104039907455,
-0.15381017327308655,
-0.249237060546875... |
Detailed Instructions: A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: இந்தியா அல்லது உஸ்பெகிஸ்தானிடமிருந்து அறிவிப்பு வந்த நாளிலிருந்து ஆறு மாதத்திற்கு பிறகு இந்த ஒப்பந்தம் ... | త్రిపుర లోని అగర్తలా విమానాశ్రయం పేరు ను మార్చి మహారాజా బీర్ బిక్రమ్ మాణిక్య కిశోర్ విమానాశ్రయం, అగర్తలా గా పెట్టేందుకు ఆమోదం తెలిపిన మంత్రివర్గం | 4 | NIv2 | task1075_pib_translation_tamil_telugu | fs_opt | [
0.21620741486549377,
0.7739043235778809,
-0.11096401512622833,
0.25244951248168945,
0.15260446071624756,
-1.407228708267212,
0.008438646793365479,
0.009139543399214745,
-0.5225212574005127,
0.6107121706008911,
-0.2563762962818146,
0.014821103774011135,
-0.41660451889038086,
0.0096050482243... |
In this task, you are given an article. Your task is to summarize the article in a sentence.
[Q]: Mother-of-two Rachael Buckland, 25, fractured her skull and suffered a bleed on the brain after the fall at her home in St Mellons, Cardiff.
She was taken to the city's University Hospital of Wales where she has undergone... | Low-cost computers are to be offered as part of a government scheme to encourage millions of people in the UK to get online for the first time.
| 5 | NIv2 | task1290_xsum_summarization | fs_opt | [
0.2500380575656891,
0.08418413251638412,
-0.6335923671722412,
-0.06823097914457321,
0.6209339499473572,
0.45948952436447144,
1.1179914474487305,
0.8939393758773804,
0.03495776653289795,
0.3214131295681,
-0.29884105920791626,
1.1602115631103516,
-0.46464625000953674,
0.12938536703586578,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Example input: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Example output: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Example explanation: The Farsi sentence is... | 例えばもし明日オーストラリアが突然消えるとしたら恐怖はたぶんふさわしい反応です | 3 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
0.26997455954551697,
1.1929824352264404,
-0.3625599145889282,
0.015405036509037018,
-0.7991710901260376,
-0.37140244245529175,
1.1766209602355957,
0.16635797917842865,
-0.1046489030122757,
-0.5728620886802673,
-1.0359911918640137,
0.4635045826435089,
-0.932679295539856,
0.04393765330314636... |
This task is about translating a given Spanish language sentence to English.
Example Input: Cuando empiece a grabar, cada detalle debería estar claramente definido: el reparto, el guion, las localizaciones necesarias, el material que podría necesitar y todos los pequeños detalles que hacen de su vídeo algo especial.
E... | We wouldn't have to be so brutal today, of course. We could simply punish, without sentencing someone to death.
| 3 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.24254590272903442,
-0.08119920641183853,
0.047840043902397156,
0.3108014464378357,
0.2711679935455322,
-0.6377382278442383,
0.2159728854894638,
1.5183091163635254,
-0.9001194834709167,
0.12811802327632904,
0.1525292545557022,
-0.0254497267305851,
-0.09232833981513977,
-0.506968855857849... |
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "agai... | none
| 5 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
0.2993133068084717,
0.6442244052886963,
-0.9140859842300415,
0.03738969564437866,
-0.18477821350097656,
-0.5996366739273071,
-0.22021913528442383,
1.3138182163238525,
-0.026796279475092888,
0.32642948627471924,
-0.11779677867889404,
0.5694212913513184,
-0.46478644013404846,
0.3980981707572... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a ... | No | 1 | NIv2 | task1517_limit_classfication | zs_opt | [
-0.5372763872146606,
0.11992298066616058,
0.23677831888198853,
0.5878693461418152,
-0.12404784560203552,
-0.18326960504055023,
0.1775987148284912,
0.957909345626831,
0.3950154781341553,
0.18041351437568665,
-0.2538703382015228,
-0.6241639852523804,
-0.11221341788768768,
-0.1111485809087753... |
Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei... | Les animaux, les oiseaux, les plantes, la saleté, & les rochers sont trouvés dans le répertoire. | 4 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.043164994567632675,
0.8206473588943481,
-0.6130141019821167,
-0.2557561993598938,
-0.12477539479732513,
-0.474290668964386,
0.2987513542175293,
0.6633854508399963,
-0.3260079622268677,
-0.052633896470069885,
-0.7000579833984375,
-0.27419203519821167,
-0.45304763317108154,
-0.27945560216... |
Q: In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woman" and... | What do we learn about Susan? (A) She is still in hospital. (B) She left hospital this morning. (C) She is in very good health. | 7 | NIv2 | task246_dream_question_generation | zs_opt | [
0.46571552753448486,
0.5971451997756958,
-0.36397814750671387,
-0.7204919457435608,
0.3200700879096985,
-0.25861650705337524,
0.41481637954711914,
0.5588796138763428,
0.431433767080307,
0.03488964959979057,
-0.33196866512298584,
0.9297585487365723,
0.8149706721305847,
-0.23273462057113647,... |
This task is to translate a news commentary given in English language into French language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
[Q]: Indeed, as a pillar of export-oriented modernity, Park ... | La baisse des taux de natalité représente un plus grand défi pour les régimes de retraite que l’augmentation de la longévité, parce qu’elle implique une hausse du ratio de dépendance des personnes âgées, même si l'âge de la retraite augmente au même rythme que l'espérance de vie.
| 5 | NIv2 | task1371_newscomm_translation | fs_opt | [
-0.4228884279727936,
0.7576711177825928,
-0.2903672754764557,
-0.3619096577167511,
-0.3491860330104828,
0.29419583082199097,
0.6986108422279358,
0.9448574781417847,
0.7229136824607849,
0.2042853832244873,
-0.47449058294296265,
0.6225094199180603,
-0.7456575036048889,
0.512621283531189,
0... |
Given the task definition and input, reply with output. Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
番組制作者は、ジャーナリストのボビー・パタク氏の撮影・執筆によるドキュメンタリーであり、「数々のモスクが知名度の高い全国的組織によって運営されているが、そういった... | Pembuat program mengklaim film dokumenter itu, difilmkan dan ditulis oleh jurnalis Bobby Pathak, mengungkap "sejumlah masjid yang dikelola oleh organisasi-organisasi kaliber nasional yang mengklaim didedikasikan untuk sikap sederhana dan dialog dengan agama-agama lainnya" namun pada faktanya menyebarluaskan "sebuah pes... | 5 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
0.30251672863960266,
-0.004074232652783394,
-0.14495685696601868,
-0.11474893987178802,
-0.03301548957824707,
0.12127584218978882,
0.6359977126121521,
-0.0391448549926281,
-0.19944043457508087,
0.20070022344589233,
-1.0125782489776611,
0.7022120952606201,
-0.8620947599411011,
0.20984652638... |
Detailed Instructions: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: プランBの決定は、OCTに提案されて承認されなかった67の処方薬のうち、諮問委員会が変更を認めた後でさえも承認されなかった唯一のものであった。
A: | Ang desisyon na Planong B ang kaisa-isa sa 67 na resetang mungkahi sa pagbabago sa OTC na di naaprubahan, kahit na pagkatapos na naaprubahan ang mga pagbabago ng mga komite ng pagbabalita. | 9 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
0.1810183823108673,
0.21308574080467224,
-0.10074862837791443,
-0.8483001589775085,
0.17396359145641327,
-1.4280309677124023,
0.13745775818824768,
-0.0455864779651165,
-0.07142496109008789,
0.04588424414396286,
-0.37914276123046875,
-0.08189740031957626,
-0.23568201065063477,
0.79391098022... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Q: Abstract: PURPOSE OF REVIEW The aim of this study is to highlight some recent uses of serum metabolomics in human and animal studies. T... | no | 4 | NIv2 | task1587_scifact_classification | zs_opt | [
0.04145443066954613,
-0.026467546820640564,
-0.5635579228401184,
0.5526503324508667,
-0.06499285995960236,
-0.4534666836261749,
0.5713966488838196,
0.39678093791007996,
0.0999125987291336,
0.048169009387493134,
-0.5982903242111206,
-0.08967979997396469,
-0.6734329462051392,
0.4052707254886... |
Teacher:Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
... | minute PartOf hour | 6 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
0.341037392616272,
1.1503896713256836,
0.42007139325141907,
-0.3456314504146576,
-0.5158486366271973,
-0.543919026851654,
0.5868964195251465,
0.22667790949344635,
0.3891593813896179,
-0.7651406526565552,
-0.4955293536186218,
0.12366154044866562,
-0.7119910717010498,
-0.12924125790596008,
... |
instruction:
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
question:
Sentence1: Jeff had been job searching for a while now. Sentence2: One day h got two offers from two different companies! Sentence3: One job pai... | Sarah, Teacher, Family
| 9 | NIv2 | task292_storycommonsense_character_text_generation | fs_opt | [
0.06952735036611557,
-0.22600939869880676,
-0.5140594244003296,
0.23739539086818695,
0.5194939374923706,
-0.26529374718666077,
0.14515191316604614,
1.0093134641647339,
-0.4044869840145111,
-0.17637884616851807,
-0.5614974498748779,
-0.34868893027305603,
-0.31795889139175415,
-0.18751198053... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weigh... | 47 | 0 | NIv2 | task090_equation_learner_algebra | fs_opt | [
0.2931850254535675,
0.8519469499588013,
-0.6369643807411194,
-0.8177103996276855,
-0.3038182854652405,
-0.3573214113712311,
0.9556929469108582,
0.8198886513710022,
0.09735870361328125,
-0.8670629262924194,
-0.48747584223747253,
0.7081236839294434,
-0.6205035448074341,
0.10360176116228104,
... |
Given a travel related situation, and given a specific question about the situation, summarize the question into a title
Q: What's the cheapest way to get to Amherst, MA from either BDL or BOS airport? All shuttles from BDL to Amherst are around $55, which is the same price as that of Lyft. Peter Pan from Boston costs... | Can I travel within the US with expired I-20 and valid F-1 visa?
****
| 4 | NIv2 | task1639_doqa2.1_travel_text_summarization | fs_opt | [
0.30477362871170044,
0.15430948138237,
-0.5494364500045776,
-0.518222987651825,
0.21043577790260315,
0.25710606575012207,
0.7572438716888428,
0.78559410572052,
0.28336936235427856,
0.18252623081207275,
-0.2693347632884979,
0.7224279642105103,
-0.0008523662108927965,
-0.2730613648891449,
... |
Q: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
As pessoas vinham de toda a cidade para estar naqueles parques.
A: | Ludzie przyszli z całego miasta, żeby pobyć w tych parkach. | 7 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
0.08353932201862335,
1.5655996799468994,
-0.46226784586906433,
-0.5845106840133667,
-0.6003567576408386,
-1.698108434677124,
0.1153583750128746,
-0.6821814775466919,
0.9207831621170044,
-0.2555393874645233,
-0.5401495695114136,
0.8965542316436768,
-0.5908910036087036,
0.5039893388748169,
... |
Given the task definition and input, reply with output. In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".... | True | 5 | NIv2 | task1162_coda19_title_classification | zs_opt | [
-0.48992210626602173,
0.4753512144088745,
-0.33396777510643005,
-0.61124187707901,
0.015477098524570465,
-0.83431476354599,
0.4408950209617615,
0.7786753177642822,
0.06765185296535492,
0.3762056827545166,
-1.0543289184570312,
0.25511977076530457,
-0.5365980863571167,
-0.3655841648578644,
... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence.
Q: He said rules and regulations, such as model building bye-laws, also need to be framed for water conservation and management.
... | તેમણે જણાવ્યું હતુ કે, જળસંચય અને વ્યવસ્થાપન માટે મોડલ બિલ્ડિંગનાં પેટાકાયદાઓ જેવા નિયમો અને નિયમનો બનાવવાની જરૂર છે. | 9 | NIv2 | task1079_pib_translation_english_gujarati | zs_opt | [
-0.4770153760910034,
0.3454020619392395,
0.1485348790884018,
-0.31384408473968506,
0.1536390334367752,
-2.0815858840942383,
-0.029773065820336342,
-0.4180282950401306,
-1.0286959409713745,
0.06213442236185074,
-0.4851325750350952,
-0.25779813528060913,
-1.2121789455413818,
0.34351745247840... |
You will be given a definition of a task first, then some input of the task.
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can ... | Sandwiches. | 1 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
-0.160376638174057,
0.7891044616699219,
0.09672006964683533,
0.6852808594703674,
-0.168815016746521,
0.12408497184515,
0.5802707076072693,
0.5158072113990784,
0.38416001200675964,
-0.025700468569993973,
-0.45117488503456116,
-0.5876888036727905,
-0.4998725652694702,
-0.22140376269817352,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
One example is below.
Q: Qui c'è la medusa mortale con le ali ad X.
A: Aquí esta la medusa ala-x de la muerte.
Rationale: The Italian sentence is correctly translated into Spanish, because the meaning is preserved.
Q: Ora, ... | Entonces, si piensan la democracia desde esta perspectiva, una nueva noción pluralista de la democracia reconocería que existen muchos intereses diferentes, muchas agendas diferentes, muchos individuos diferentes, muchos puntos de vista diferentes. | 9 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.3846471309661865,
0.37854811549186707,
-0.2270003855228424,
-0.06901702284812927,
-0.608432412147522,
-0.8227108716964722,
0.3513263463973999,
1.2893130779266357,
0.0921240895986557,
-0.25461745262145996,
0.07840866595506668,
0.17181798815727234,
-0.2939683198928833,
0.470215380191803,
... |
Teacher:In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the cor... | True | 6 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.7784637212753296,
0.4196585416793823,
-0.5459842681884766,
-0.24158836901187897,
-0.056829892098903656,
-0.1637076884508133,
0.8167377710342407,
-0.09482251852750778,
0.04601782187819481,
0.009247126057744026,
0.20653215050697327,
0.6371588706970215,
-0.11496197432279587,
-0.31104326248... |
Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
[Q]: Question: What type of competition occurs between members of the same species? Answer: intraspecific
[A]: Intraspecific competition occurs ... | 23.4 Natural selection is the only mechanism that consistently causes adaptive evolution.
| 5 | NIv2 | task593_sciq_explanation_generation | fs_opt | [
0.07919220626354218,
0.33613890409469604,
-0.12397511303424835,
0.21194833517074585,
-0.7694047689437866,
-0.30427175760269165,
-0.5872842073440552,
0.7310483455657959,
0.3257397413253784,
-0.46353524923324585,
-0.9946589469909668,
0.3330497145652771,
-0.9137251377105713,
0.043771915137767... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
[571, 969, 3069, 7455, 'g', 'Z', 237, 8231, 71, 'X', '873', 'N', 'u', 'c', 'n', '759', 'p', 'I', '1007', 'O', 'V', '9137', 'G', '1727', '7437', 't', '8909', 'L', 'C', 'R', 3217, 1445, 3493, 'Y', 'G', 6747, 751, 1347, 7... | 873, N, u, c, n, 759, p, I, 1007, O, V, 9137, G, 1727, 7437, t, 8909, L | 0 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.6519219279289246,
0.03206297755241394,
-0.17394492030143738,
-0.41906440258026123,
-0.17244835197925568,
-0.5639128684997559,
0.344149649143219,
0.5581914782524109,
-0.5744820833206177,
0.1782969832420349,
-0.5256214141845703,
-0.0812949538230896,
-0.2763856053352356,
0.3286744356155395... |
Given the task definition and input, reply with output. In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relev... | ham | 5 | NIv2 | task109_smsspamcollection_spamsmsdetection | zs_opt | [
-1.207713007926941,
0.16108368337154388,
0.8201762437820435,
-0.5208644866943359,
0.0265014860779047,
-0.8066694736480713,
-0.14893244206905365,
0.07478729635477066,
-0.4590385854244232,
0.45564305782318115,
-0.604967474937439,
0.4281553626060486,
-0.4359704554080963,
-0.4136570394039154,
... |
Definition: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Input: Context: Luna was applying to nursing school and asked Lee for a recommendation letter.
Answer: finish the nursing ... | What did Luna need to do before this? | 2 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.640150785446167,
0.6784597039222717,
-0.31767529249191284,
-0.40643370151519775,
-0.22593019902706146,
0.4207812547683716,
-0.7028642892837524,
0.2751418948173523,
-0.0012151908595114946,
-0.09990090876817703,
-0.21499386429786682,
0.38603460788726807,
-0.28584545850753784,
0.5420528054... |
Detailed Instructions: In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', a... | C | 9 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
-0.07138874381780624,
0.407062292098999,
0.027814630419015884,
0.10946705937385559,
0.01746330037713051,
-0.4792417585849762,
0.48691388964653015,
0.43929213285446167,
0.17477546632289886,
0.22362062335014343,
-0.7330716252326965,
-0.09830926358699799,
0.13225337862968445,
-0.5413239598274... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected... | Good | 0 | NIv2 | task673_google_wellformed_query_classification | fs_opt | [
-0.1682112216949463,
0.41696491837501526,
0.08662301301956177,
-0.0578337162733078,
0.0075570037588477135,
-0.1983429491519928,
0.2927025556564331,
-0.013171916827559471,
-0.1832471638917923,
0.19316242635250092,
-0.23039719462394714,
-0.21541282534599304,
-0.48153015971183777,
-0.10615396... |
Detailed Instructions: In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Q: Dialogue 1: 'y you annoyed i said i got woke up lesbian talks'. Dialogue 2... | yes | 9 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.5790723562240601,
-0.046709831804037094,
0.4405955672264099,
-0.19585859775543213,
-0.5615652799606323,
0.16210170090198517,
0.8090150356292725,
0.1299789845943451,
-0.13105647265911102,
-0.13156944513320923,
-0.01860378310084343,
-0.21350529789924622,
-1.0286239385604858,
0.11107911169... |
Given the task definition and input, reply with output. Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
concept: Tom Hanks question: what movie did tom hanks won his first oscar?
| ['Big'] | 5 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.7877600193023682,
0.7696154713630676,
0.31685540080070496,
0.09105115383863449,
-0.45839816331863403,
-0.15925437211990356,
0.37831205129623413,
0.09722309559583664,
0.5343968272209167,
-0.07421866059303284,
-0.20157237350940704,
0.22628368437290192,
-0.4663233160972595,
-0.469794273376... |
A text is given in Urdu. Translate it from the Urdu language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: عالمی بینک کی لاجسٹکس پرفارمنس انڈیکس میں بھی ہندوستان 19 درجات آگے بڑھا ہے۔
A: | जागतिक बँकेच्या 2016 च्या लॉजिस्टिक्स कामगिरी निर्देशांकाच्या यादीतही भारत 19 स्थांनांनी वर गेला आहे. | 4 | NIv2 | task990_pib_translation_urdu_marathi | zs_opt | [
-0.09005343168973923,
0.8958163261413574,
-0.408652663230896,
-0.4845733046531677,
-0.16075283288955688,
-0.4714629054069519,
0.8679547309875488,
0.27373600006103516,
0.6284675598144531,
-0.543800950050354,
-1.0468049049377441,
0.4180663824081421,
-0.21770460903644562,
0.6021759510040283,
... |
Detailed Instructions: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the... | customer: My journey dates on 10/27 and 10/29. | 8 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
0.05402735620737076,
-0.3361150622367859,
-0.4739038348197937,
-1.1192712783813477,
0.026732532307505608,
0.16139152646064758,
0.3763647675514221,
0.09601457417011261,
0.11793433129787445,
0.260010689496994,
0.37040555477142334,
-0.24968795478343964,
-0.3659060597419739,
0.1269849836826324... |
In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabe... | Alphabets Win
| 7 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
0.3060590624809265,
0.3524218499660492,
-0.6901707649230957,
-0.23654504120349884,
-0.17273566126823425,
-0.5548120737075806,
0.5222117900848389,
0.2122006118297577,
-0.6393263339996338,
0.04561515524983406,
-1.023474931716919,
0.0611833855509758,
-0.18028461933135986,
0.3380216956138611,
... |
Given the task definition and input, reply with output. In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose t... | AGE | 5 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
-0.4307404160499573,
0.7966912388801575,
-0.28919801115989685,
0.1720617711544037,
-0.623930037021637,
-0.17067651450634003,
1.4887449741363525,
0.7645528316497803,
0.33150148391723633,
0.02453090436756611,
-0.4222276508808136,
0.5124242305755615,
-0.3421470522880554,
-0.03397562727332115,... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'T... | Text two
****
| 4 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.8076509237289429,
0.27784761786460876,
-0.17312633991241455,
0.1339055597782135,
0.2933776080608368,
-0.2993921637535095,
0.7758901715278625,
0.12229634076356888,
-0.48518866300582886,
0.20398718118667603,
-0.45947766304016113,
-0.242045059800148,
-0.19524434208869934,
0.112088978290557... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwi... | No | 8 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.16329675912857056,
0.29811134934425354,
-0.2994629740715027,
0.1682087779045105,
0.3148224651813507,
-0.4622482657432556,
0.2127658724784851,
1.1417462825775146,
0.07704709470272064,
-0.08368842303752899,
-0.3802046775817871,
-0.15528632700443268,
-1.0097362995147705,
-0.314561069011688... |
Teacher: In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Context_... | Delhi | 2 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.7318172454833984,
0.3574162423610687,
-0.9423919916152954,
0.8639992475509644,
0.45879343152046204,
-0.25887370109558105,
0.6422711610794067,
0.5560189485549927,
-0.002746365498751402,
0.440451979637146,
0.03574442118406296,
0.6329421997070312,
-0.8995201587677002,
-0.14361044764518738,
... |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
... | the average of the score record of all rows is 145 . | 8 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.00797325186431408,
0.011168492957949638,
-0.3588201403617859,
-0.01594640128314495,
-0.03428136557340622,
-0.28434160351753235,
0.45555445551872253,
0.6122989058494568,
0.038438890129327774,
-0.1952185034751892,
-0.5763726234436035,
-0.17970791459083557,
-0.05087801069021225,
0.625368475... |
You will be given a definition of a task first, then some input of the task.
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the pa... | While most celebrities tend to hide their struggles with drugs and battles with depression, Demi Lovato not only acknowledged her issues, she’s shared them with the world. | 1 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
0.49523597955703735,
0.5192592144012451,
-0.652772843837738,
0.14416716992855072,
0.5035849809646606,
-0.39178216457366943,
0.23540332913398743,
0.9132238626480103,
-0.4857349097728729,
0.16288655996322632,
0.03420865535736084,
0.5330089330673218,
-0.41378074884414673,
0.010018473491072655... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.