inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
[Q]: Problem: a 4 % stock yield 5 % . the market value of the stock is ?
Options: a ) rs . 125 , b ) rs . 80 , c ) rs . 99 , d ) rs... | c
| 5 | NIv2 | task1419_mathqa_gain | fs_opt | [
-0.41993415355682373,
0.4828968346118927,
-0.1228499561548233,
-0.1020933985710144,
0.23055914044380188,
-0.08309594541788101,
0.257936030626297,
1.0855450630187988,
0.5133801698684692,
0.29052042961120605,
-0.774673581123352,
-0.26320382952690125,
-0.48034703731536865,
-0.2455544173717498... |
Instructions: 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... | C | 3 | NIv2 | task190_snli_classification | zs_opt | [
-0.7102533578872681,
0.6039021015167236,
0.2978411912918091,
-0.16552864015102386,
0.44548946619033813,
-0.47953569889068604,
0.13704973459243774,
0.5715289115905762,
0.6081008911132812,
0.1527690887451172,
-0.07221178710460663,
-0.528207004070282,
-0.020222827792167664,
-0.006647655740380... |
Definition: In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
Input: دانشگاه شهید بهشتی یکی از معتبرترین دانشگاههای دولتی ایران است که در منطقهٔ اوین، غرب ولنجک و شرق درکه در شمال غربی شهر تهران واقع شدهاست. دانش... | منطقهٔ اوین، غرب ولنجک و شرق درکه در شمال غربی شهر تهران | 2 | NIv2 | task395_persianqa_answer_generation | zs_opt | [
-0.4946676790714264,
0.36965304613113403,
-0.19215697050094604,
-0.20433615148067474,
-0.4937233030796051,
0.3687106668949127,
0.4870457053184509,
0.5076238512992859,
0.9772682785987854,
0.057149335741996765,
-0.8576732873916626,
0.5106432437896729,
0.1283136010169983,
0.23796921968460083,... |
Teacher:You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', ... | disgust,No emotion,disgust,No emotion | 6 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.6195709705352783,
0.2825945317745209,
0.1469758152961731,
-1.0519046783447266,
-0.0704973042011261,
-0.3712960481643677,
0.6145257353782654,
0.033365972340106964,
-0.1209554374217987,
-0.3871901035308838,
0.224769726395607,
-0.5799192190170288,
-0.4404166042804718,
0.39686816930770874,
... |
Teacher:Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produ... | Energy is the fuel for chemical reactions which run the various systems of the body. | 6 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
0.07474569976329803,
1.068800926208496,
-0.6789481043815613,
-0.20992890000343323,
-0.7937257289886475,
-1.1278342008590698,
-0.2527884840965271,
0.9092051386833191,
-0.24617573618888855,
-0.5861278772354126,
-1.1688820123672485,
0.6542314291000366,
-0.6225244998931885,
-0.0229512434452772... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
What episode did alex bowen come i... | Hasan Ali
| 0 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
0.048671163618564606,
0.10188163071870804,
-0.2929537296295166,
-0.48755204677581787,
-0.12006720155477524,
-0.3388438820838928,
0.6623570919036865,
-0.7743231058120728,
-0.21716123819351196,
-0.2588314414024353,
-0.7588536739349365,
0.18239614367485046,
-0.37553679943084717,
-0.0984212607... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
See one example below:
Problem: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
Solution: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Explana... | Tivemos que fazer âncoras de neve e gelo para amarrar as cordas e descer em "" rappel "" pelo buraco. | 4 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
0.11011312901973724,
1.1401736736297607,
0.47601181268692017,
-0.3505191206932068,
0.04088781028985977,
-0.5514929294586182,
-0.20320039987564087,
1.1749835014343262,
0.3786947429180145,
-0.6414670944213867,
-0.9608190059661865,
0.2651485502719879,
-0.887244701385498,
0.06895316392183304,
... |
Q: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
4, ['6619', 'b', '7331', '159', '8363', 'a', '6037', 'o']
A: | 6619, b, 7331, 159 | 7 | NIv2 | task063_first_i_elements | zs_opt | [
-0.2526828348636627,
0.950440526008606,
-0.009490741416811943,
-0.6233923435211182,
-0.5390217304229736,
-0.1306697130203247,
0.5333702564239502,
-0.026666250079870224,
-0.15908335149288177,
-0.5870345830917358,
-0.7520846128463745,
-0.1915486752986908,
0.456301212310791,
-0.44211342930793... |
Teacher: In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
... | Use a soldering iron to safely melt two plastics together. | 2 | NIv2 | task080_piqa_answer_generation | fs_opt | [
0.0984809622168541,
0.4136827886104584,
-0.646780788898468,
-0.007282594218850136,
-0.2869248390197754,
-0.29115062952041626,
-0.552900493144989,
0.5747959613800049,
-0.042810194194316864,
0.3058749735355377,
-0.11818279325962067,
0.3899330496788025,
-0.3704405426979065,
-0.140878647565841... |
Part 1. Definition
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 t... | What do some amphibians use to attract a mate? | 7 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.5050846934318542,
0.9120138883590698,
-0.05154328793287277,
-0.16449719667434692,
-0.745358407497406,
-0.7447155714035034,
0.6837533116340637,
0.4151589870452881,
0.1798250377178192,
-0.31801658868789673,
-1.6198298931121826,
0.5257580280303955,
-0.6369419097900391,
0.005363737232983112,... |
Part 1. Definition
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Part 2. Example
My stomach will be upset if i eat that.
Answer: Do you like pineapple on your pizza?
Explanation: The answer given was regarding something that the person ate and it caused his s... | Are you into trying a mom and pop burger place near me? | 7 | NIv2 | task568_circa_question_generation | fs_opt | [
-0.35648787021636963,
0.2247028648853302,
0.37255433201789856,
0.3104410767555237,
0.3917502760887146,
-0.27592992782592773,
0.29411232471466064,
0.7537402510643005,
0.34121930599212646,
-0.28554368019104004,
-0.09621318429708481,
0.08906194567680359,
-1.2629120349884033,
-0.16535778343677... |
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].
--------
Question: Verify if the sentiment of the following document towards the entity Megyn Kelly is Negati... | yes
| 7 | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt | [
-0.32159411907196045,
-0.2518531084060669,
0.36165064573287964,
0.040517408400774,
0.26927563548088074,
-1.3249202966690063,
0.6109614372253418,
0.48335587978363037,
-0.5668494701385498,
-0.08934889733791351,
-0.3977104425430298,
-0.159562885761261,
0.14438314735889435,
-0.2619114518165588... |
Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise
[Q]: The site collects your unspecified information for personalization or customization. Collection happens by other parts... | Additional service/feature
| 5 | NIv2 | task683_online_privacy_policy_text_purpose_answer_generation | fs_opt | [
-0.6324447393417358,
0.25002750754356384,
-0.948974609375,
0.07438191771507263,
-0.47783082723617554,
-1.2361416816711426,
0.384589284658432,
0.09595178812742233,
0.3901630938053131,
0.6781840920448303,
0.7853683233261108,
0.47618716955184937,
-0.653388500213623,
-0.49074307084083557,
0.... |
You will be given a definition of a task first, then some input of the task.
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
తూర్పు గోదావరి _ Mapio.net
Output: | Telugu | 1 | NIv2 | task1618_cc_alligned_classify_tel_eng | zs_opt | [
-0.07934955507516861,
-0.15480980277061462,
0.5290420055389404,
-0.728438675403595,
-0.03741922229528427,
-0.7827795743942261,
0.790709376335144,
0.036341533064842224,
-0.1266709268093109,
-0.15610180795192719,
0.21503162384033203,
-0.5665068626403809,
-0.4872007668018341,
-0.4217182099819... |
Instructions: In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Input: Article: Hanukkah Hanukkah is a Jewish festival. It is celebrated on the 25th day of the Jewish month of Kislev , which is usually sometime in December. It is oft... | For how many days does Hanukkah last? | 3 | NIv2 | task311_race_question_generation | zs_opt | [
0.5783741474151611,
0.3152204155921936,
0.1333901733160019,
-0.30914682149887085,
-1.1542279720306396,
-1.0271775722503662,
0.3207884430885315,
0.7879934310913086,
-0.23631751537322998,
0.1389782726764679,
-0.39528369903564453,
0.6684439182281494,
-1.2487390041351318,
0.004154260270297527,... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Problem:Ok. Możemy naruszyć Wasze oczekiwania nt. kształtu,
Solution: | Ok. Podemos romper sus expectativas sobre la forma. | 8 | NIv2 | task1258_ted_translation_pl_es | zs_opt | [
-0.2850850820541382,
1.1701558828353882,
0.06113113835453987,
-0.2745228409767151,
-0.2872213125228882,
-0.4813908338546753,
0.3133612275123596,
-0.28896403312683105,
0.13309144973754883,
-0.42903637886047363,
-0.22488857805728912,
0.4470560848712921,
-0.14617694914340973,
-0.1273861676454... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
[Q]: Galileo visitou o sistema de Xúpiter en 1996 e fixo observacións fabulosas de Europa.
[A]: הגשושית גלילאו ביקרה במערכת כוכב הלכת צדק בשנת 1996 וביצעה תצפיות מרהיבות של אירופה.
[Q]: En 1965, o Dr. Geiger fundou un d... | לקחנו עכברים ונתנו להם "" פ "" אחת, פרוקסטין.
| 5 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.882876992225647,
0.21346035599708557,
-0.3816111981868744,
-0.06257869303226471,
-0.5511211156845093,
-0.9654675722122192,
0.3131313920021057,
-0.15542827546596527,
0.002449820516631007,
-0.3181701898574829,
-0.059943199157714844,
0.35137873888015747,
-0.6810981035232544,
0.136159539222... |
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 follo... | Solution: user | 5 | NIv2 | task1599_smcalflow_classification | fs_opt | [
-0.3845447301864624,
0.3901470899581909,
-0.09482114017009735,
-0.018490945920348167,
0.11938232183456421,
-0.3126736879348755,
0.4511154890060425,
-0.06648348271846771,
0.1378922164440155,
0.09595078229904175,
-0.4176834523677826,
-0.16138297319412231,
-1.0858280658721924,
0.4147030115127... |
Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corp... | JJR | 3 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
-0.22571666538715363,
0.29067978262901306,
-0.16235408186912537,
0.18123048543930054,
-0.14638394117355347,
-0.4594494104385376,
0.4362751841545105,
0.972021758556366,
-0.38429880142211914,
-0.29559898376464844,
-0.34896743297576904,
0.426041841506958,
-0.6383671164512634,
-0.0077349981293... |
Detailed Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following:... | No emotion,No emotion,No emotion,No emotion,No emotion | 9 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.31565719842910767,
0.6977458000183105,
0.019793633371591568,
-0.40279874205589294,
-0.3415526747703552,
-0.6342465877532959,
1.0054354667663574,
-0.15910708904266357,
-0.24605946242809296,
-0.6621776819229126,
0.2340952754020691,
-0.041483595967292786,
-0.7394020557403564,
0.29613539576... |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Q: Statement: that's right that's honestly right Choices: 1. That i... | 1 | 4 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
0.41507890820503235,
0.7659175395965576,
0.41515225172042847,
-0.15146782994270325,
-0.36618906259536743,
-1.1049143075942993,
0.4388490319252014,
0.8139032125473022,
0.32684525847435,
0.04576881602406502,
-0.8609476685523987,
-0.31236502528190613,
0.1214238852262497,
-1.1242990493774414,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Un autobuz cu două etaje deplasându-se în fața unei roți de feribot.
Output: | A double-decker bus driving in front of a ferris wheel. | 1 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
0.2076321542263031,
0.20644569396972656,
0.3493574857711792,
0.4456508755683899,
-0.339588463306427,
0.3666979670524597,
0.6295316815376282,
0.2862054109573364,
0.6887202262878418,
0.23197504878044128,
-0.2503572404384613,
0.17517340183258057,
-0.10595957934856415,
0.19674968719482422,
0... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 2時間のスピーチで彼は「今日アップル社は... | No | 1 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.5021589398384094,
-0.22904068231582642,
0.6040477156639099,
-0.11392625421285629,
-0.030401747673749924,
-0.22446542978286743,
0.15344905853271484,
0.6505786180496216,
-0.5058609247207642,
0.422687292098999,
-0.40722325444221497,
0.0950075089931488,
-0.21057665348052979,
0.0376120284199... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Q: Vi claramente que la solución sería tipográfica, lo contrario de la Tipografía Elemental.
A: | これはタイポグラフィ的に解決することになりましたがやったのはタイポグラフィ入門の逆です | 4 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-0.15623679757118225,
0.2732309103012085,
0.7540643215179443,
-0.7379132509231567,
-0.00028859381563961506,
-0.06146116182208061,
0.699927031993866,
0.48475003242492676,
0.9254240989685059,
-0.5134032964706421,
0.5841013789176941,
-0.28551948070526123,
0.243332177400589,
0.5156337022781372... |
Teacher: 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".
Teacher: Now, understand the problem? If you are still confu... | no | 2 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.3942949771881104,
0.01771862991154194,
0.5102335214614868,
0.14390483498573303,
0.4440750777721405,
-1.3843939304351807,
0.1512994021177292,
0.4761814475059509,
0.13172714412212372,
0.3593671917915344,
-0.09657738357782364,
-0.11860618740320206,
-0.25325435400009155,
-0.5331504344940186... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Option D | 9 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.5794139504432678,
0.16070815920829773,
-0.02942260354757309,
-0.034886009991168976,
0.16049690544605255,
0.33891648054122925,
-0.25716841220855713,
0.8875925540924072,
-0.3535468280315399,
-0.11566618084907532,
-0.16217602789402008,
0.10953991860151291,
-0.44390660524368286,
-0.176894843... |
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Q: Concerns have been raised that a quarter of women in Jersey do not have regular smear... | Concerns over Jersey women missing smear tests | 4 | NIv2 | task1358_xlsum_title_generation | zs_opt | [
-0.6431218385696411,
1.3231685161590576,
-0.5017655491828918,
-0.40638846158981323,
0.03664147108793259,
-0.7073544263839722,
-0.41954436898231506,
0.35747653245925903,
-0.39173251390457153,
0.6544933915138245,
-0.4816230535507202,
0.6530322432518005,
-0.6355546712875366,
-0.14684329926967... |
Teacher:You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Teacher: Now... | cat | 6 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
0.1454412043094635,
0.735287070274353,
0.08284138143062592,
-0.25096940994262695,
0.37554001808166504,
-1.1121515035629272,
0.10427045822143555,
0.7366831302642822,
-0.16227546334266663,
-0.45072534680366516,
0.5281842947006226,
0.19800785183906555,
-0.4913622736930847,
-0.6938512325286865... |
Instructions: 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".
Input: Article: a group of spanish associations said monday it has handed over to a top judge a list of ###,### names... | yes | 3 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.6706907749176025,
-0.07113227248191833,
0.0477922260761261,
0.3659786880016327,
0.14353634417057037,
-0.8423960208892822,
0.7563056349754333,
0.7346429824829102,
-0.2085723876953125,
0.0828351229429245,
-0.5130020380020142,
-0.15972572565078735,
-1.1959342956542969,
0.5841785669326782,
... |
Instructions: 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 co... | He decided to go in there but he took a bat and a compass to make sure he made it back home. | 3 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.3568815290927887,
0.30651575326919556,
-0.42842617630958557,
0.6459610462188721,
-0.17133286595344543,
-0.8602983951568604,
0.2810622453689575,
0.7444037199020386,
-0.10613911598920822,
-0.17482148110866547,
-0.8496474027633667,
0.185211181640625,
-0.514626145362854,
0.318997323513031,
... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
Q: And it went on for decades.
A: | و این برای دهه هاست که ادامه دارد. | 4 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
0.10072457790374756,
1.422958493232727,
-0.2861226797103882,
0.17461878061294556,
-0.40285468101501465,
-0.1460597664117813,
0.6424950361251831,
0.46454817056655884,
0.4243391156196594,
-0.1446751356124878,
0.09474916756153107,
0.6497622728347778,
-0.8701683282852173,
0.4651673138141632,
... |
Teacher:You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: Currently, what they were doing is that they were using these small fishing boats, and they were cleaning clean lines in an ocean of dirt.
Student: | 現在のやり方では小さな漁船を使い汚染された海を線のように掃除しています | 6 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-0.5926128625869751,
-0.15357297658920288,
-0.40271568298339844,
-0.9794342517852783,
0.36470308899879456,
-0.559776782989502,
-0.39388832449913025,
0.20955733954906464,
0.054844439029693604,
-0.17587706446647644,
-0.004976998083293438,
-0.43604394793510437,
0.30564308166503906,
-0.8616314... |
You will be given a definition of a task first, then some input of the task.
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Throw all ingredients into a food processor or blender and ... | filets, Marinade, T, T, T, T, T, Garlic, Jalapeno, Green Onions, Cilantro | 1 | NIv2 | task571_recipe_nlg_ner_generation | zs_opt | [
-0.6086581945419312,
-0.11907108128070831,
-0.33322030305862427,
0.17697100341320038,
-0.3359270989894867,
0.007815517485141754,
1.1343235969543457,
-0.15042123198509216,
-0.19834548234939575,
-0.13566207885742188,
0.382809579372406,
-0.4888420104980469,
-0.8703927993774414,
0.215349271893... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Input: ほかのフォーク歌手もよくやることです
Output: | This is pretty typical among folk singers. | 2 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
-0.3079455494880676,
0.011614072136580944,
-0.5886396169662476,
-0.35006338357925415,
0.08799564093351364,
-0.464252769947052,
0.2578316330909729,
0.04159227013587952,
0.6827728152275085,
-0.41143128275871277,
-0.4485941231250763,
-0.1341516375541687,
-0.5074425935745239,
0.226958513259887... |
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.
Let me give you an example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in bus... | negative | 8 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.1812312752008438,
0.0679015964269638,
0.3570291996002197,
-0.3252236545085907,
0.05918341875076294,
-0.43384066224098206,
0.5134224891662598,
0.5708687901496887,
0.041259512305259705,
0.7800668478012085,
-0.135324627161026,
-0.13752080500125885,
-0.6672033071517944,
-0.28003013134002686... |
TASK DEFINITION: In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
PROBLEM: Question: Point out the correct answer regarding therapy for Rehm's depression:
Options: <1> It focuses on three proc... | 3
| 8 | NIv2 | task1431_head_qa_answer_generation | fs_opt | [
0.9765344858169556,
-0.17388594150543213,
-0.7201115489006042,
-0.21095433831214905,
0.7583535313606262,
-0.403963565826416,
1.6628456115722656,
0.5284688472747803,
-0.2116299271583557,
-0.1267501264810562,
-0.10400159657001495,
0.2987534999847412,
-0.23027831315994263,
0.25637608766555786... |
Instructions: In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Input: Sentence: 'a young man with a snowboard while a crowd looks on'. Count the number of consonants in the given sentence.
Output: | 25 | 3 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.517399787902832,
1.0610888004302979,
-0.9015337824821472,
-1.0077052116394043,
0.2627924382686615,
-0.16345053911209106,
-0.10849694907665253,
0.5766614079475403,
0.06904631853103638,
-0.4947529435157776,
-0.679439902305603,
0.32822731137275696,
-0.31426024436950684,
-0.6652034521102905,... |
Detailed Instructions: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
See one example below:
Problem: Who was the first American President?
Solution: president of the united states
Explanation: The question talks about the president of the USA... | the great gatsby | 4 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.9167911410331726,
0.282880961894989,
-0.20647434890270233,
0.07996529340744019,
-0.5145848989486694,
-0.8248147964477539,
0.6713665723800659,
0.518073558807373,
0.053802795708179474,
0.44779491424560547,
-0.8577057719230652,
-0.18059858679771423,
-0.20490474998950958,
-0.0612131059169769... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Ex Input:
ترينكيلو: يعرف البؤس الرجل ذي الرفقاء الغرباء.
Ex Output:
Trinculo: Misery acquaints a man with strange bedfellows.
Ex Input:
وأبعد من السياسة.
Ex Output:
And that's beyond politics.
Ex Input:
هذه الكيمياء من... | The chemistry from compounds in the environment is orders of magnitude more complex than our best chemists can produce.
| 1 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.48021677136421204,
0.3486860990524292,
0.2957038879394531,
-0.34324830770492554,
-0.7041413187980652,
-0.21333351731300354,
0.5312792062759399,
0.14409953355789185,
-0.022613544017076492,
0.2298731654882431,
-1.1653575897216797,
0.62981778383255,
-0.8758161067962646,
-0.2084154486656189... |
This task is to translate the Telugu Language Input to English Language Output
--------
Question: MDF గ్రోవ్
Answer: Mdf Groove
Question: షాంఘై పునరుజ్జీవన పారిశ్రామిక కో, లిమిటెడ్ - మమ్మల్ని సంప్రదించండి.
Answer: షాంఘై RENAISSANCE INDUSTRIAL CO., LTD.
Question: ఫోన్: 0086-591-38301276
Answer: | Phone: 0086-591-38301276
| 7 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.8179154396057129,
0.4454424977302551,
-0.39362311363220215,
-0.8711200952529907,
-0.3317565321922302,
-0.10168632864952087,
0.17251728475093842,
0.11696706712245941,
-0.060612209141254425,
0.15714654326438904,
-0.7634448409080505,
0.18829382956027985,
-1.0901062488555908,
0.559336125850... |
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.... | I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_JUMP | 3 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.11449386179447174,
0.6338269710540771,
-0.38503268361091614,
-0.2535078525543213,
0.15620559453964233,
0.0064790863543748856,
0.2676563858985901,
0.20208100974559784,
-0.21773403882980347,
-0.42118966579437256,
-0.8502271175384521,
-0.08988437056541443,
-0.7314605712890625,
-0.2190273106... |
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Q: What event was the person who covered a half marathon in 1:00:24 at the IAAF World Championships of 1998 Olympic champion of ?
A: | 10,000 metres | 4 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
0.029838332906365395,
1.3955893516540527,
-1.0734411478042603,
0.11949895322322845,
-0.3989744782447815,
0.08448192477226257,
0.4184234142303467,
0.3620530366897583,
-0.04772338271141052,
-0.6209036111831665,
-1.5340802669525146,
0.4923743009567261,
-0.6477952003479004,
0.48681268095970154... |
Detailed Instructions: In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: what is the greatest positive integer x such that 2 ^ x is a factor of 8 ^ 10 ?
Options: a ) 5 , b ) 9 , c ) 10 , d ) 20 , e ) 30
A: | e | 9 | NIv2 | task1420_mathqa_general | zs_opt | [
-0.15862755477428436,
0.22152385115623474,
-0.30661410093307495,
-0.27711594104766846,
-0.410845547914505,
-0.26428475975990295,
0.5961573123931885,
1.0268527269363403,
0.06087695062160492,
0.24335645139217377,
-0.5473114252090454,
0.6342023611068726,
-0.25938692688941956,
-0.3880949616432... |
In this task you are given an anecdote, which recount a complex ethical situation. The question you are given is, has the author of the anecdote acted ethically? answer this question with "RIGHT" or "WRONG".
One example: My boyfriend (well just call him M) and I are creators on Instagram (he is also on TikTok). I'm a d... | RIGHT | 6 | NIv2 | task224_scruples_anecdotes_ethical_judgment | fs_opt | [
0.2688736319541931,
-0.0504341796040535,
0.15357497334480286,
0.1302289217710495,
0.2660972476005554,
-0.9851298332214355,
0.3216148912906647,
0.6687894463539124,
-0.4540848135948181,
0.19704358279705048,
-0.20016133785247803,
0.1593600958585739,
-0.5835579037666321,
0.22938090562820435,
... |
Given the task definition and input, reply with output. In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
['3913', '9755']
| 3913, 9755 | 5 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.08521772921085358,
0.761454701423645,
-0.4136197566986084,
-0.6528645753860474,
-0.4098646342754364,
0.28082311153411865,
0.6676201820373535,
-0.49572068452835083,
0.2562170624732971,
0.25037574768066406,
-0.6425987482070923,
-0.008476287126541138,
0.025086577981710434,
0.178888201713562... |
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
Example input: What are arteries, veins, and ... | at conduction | 3 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
0.8239600658416748,
0.9170184135437012,
-0.273897647857666,
0.5038102865219116,
-0.4099886119365692,
-0.35046011209487915,
0.04280204698443413,
0.5866696834564209,
-0.030444396659731865,
-0.329399973154068,
0.19226355850696564,
-0.028023313730955124,
-0.6351234912872314,
-0.008677013218402... |
Given the task definition and input, reply with output. A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
இந்தியாவில் ஜப்பானிய முதலீடுகளுக்கான வசதி ஏற்படுத்துதல் மற்றும் அதிகரிக்கச் செய்தல்
| ਨਾਗਰਿਕ ਉਡਾਨ ਸਹਿਯੋਗ ‘ਤੇ ਆਰ ਓ ਡੀ ਦਾ ਵਟਾਂਦਰਾ (ਖੁੱਲ੍ਹਾ ਅਸਮਾਨ) | 5 | NIv2 | task1016_pib_translation_tamil_punjabi | zs_opt | [
-0.1297210454940796,
0.9502263069152832,
0.2891613841056824,
0.6434481143951416,
-0.05458363890647888,
-0.1644686758518219,
1.0834228992462158,
0.011280721053481102,
-0.04282459616661072,
-0.02576378732919693,
-0.3629525899887085,
0.39663273096084595,
-0.8251468539237976,
0.338957071304321... |
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
Example input: فتوسنتز فرایندی زیستشیمیایی است که در آن، انرژی نورانی خورشید توس... | True | 3 | NIv2 | task396_persianqa_classification | fs_opt | [
0.43554219603538513,
0.782961905002594,
-0.27270379662513733,
0.2523954510688782,
-0.3206845223903656,
-0.07994700968265533,
0.7107398509979248,
0.9546387195587158,
0.12380605190992355,
0.028533082455396652,
-1.029245376586914,
0.49975812435150146,
-0.6124354600906372,
0.4846566617488861,
... |
You are given a statement written in Kannada. 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 .
Example input: Statement: ಕೆಂಪು ಸಮುದ್ರವು ಹಿಂದೂ ಮಹಾಸಾಗರದ ಕಡಲಾಚೆಯ <MASK> ಮತ್ತು ಏಷ್ಯಾ ಖಂಡದ ನಡುವೆ ಇರುವ ಸಮುದ್ರವಾಗಿದೆ.... | ರಾಜಕುಮಾರ್ | 3 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.16712360084056854,
0.49806055426597595,
-0.1095244437456131,
-0.2724420428276062,
-0.45364779233932495,
-0.13917970657348633,
-0.003381195478141308,
0.48163002729415894,
-0.644385576248169,
0.2688862085342407,
0.08419657498598099,
-0.7422406673431396,
-0.18455994129180908,
-0.22113707661... |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used f... | ADV
****
| 4 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.31295979022979736,
0.09358246624469757,
-0.00287514366209507,
0.09112530201673508,
-0.003978216089308262,
-0.5384703874588013,
0.6789439916610718,
0.7620587348937988,
-0.4602906107902527,
-0.11742958426475525,
-0.6523139476776123,
0.17785391211509705,
-0.48282861709594727,
0.339527666568... |
Given the task definition and input, reply with output. Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
You can opt out (via a link) ... | Generic personal information | 5 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-0.8586326241493225,
0.06436231732368469,
-0.24629685282707214,
0.3336237072944641,
-0.7424147129058838,
-0.8013033866882324,
0.15888375043869019,
-0.001600621733814478,
0.25821083784103394,
0.5273925065994263,
-0.11123236268758774,
0.07033717632293701,
-0.4631454348564148,
-0.767597436904... |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Input: Spotkaliśmy się w więzieniu na zajęciach z filozofii. Mówię, że będziemy omawiać podstawy etyki. Tony przerywa mi.
Output: | Coñecímonos na miña clase de filosofía no seu cárcere presenteime: "" Nesta clase, falaremos dos fundamentos da ética "". Tony interrómpeme. | 3 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-0.6080714464187622,
0.5594298839569092,
0.4134279489517212,
-0.806492805480957,
-0.3877481520175934,
-1.6413259506225586,
0.06819239258766174,
-0.45747610926628113,
-0.15739509463310242,
0.1090870052576065,
-0.11791156232357025,
0.20097298920154572,
-0.4639647305011749,
0.3694952130317688... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Ex Input:
Title: Not An... | 15234
| 1 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
-0.1892898976802826,
-0.05434827506542206,
-0.5958008170127869,
-0.14732739329338074,
-0.26027101278305054,
0.0560266450047493,
0.46893277764320374,
1.2076444625854492,
-0.2565879225730896,
-0.27122703194618225,
-0.3467826247215271,
-0.385293185710907,
-0.8852214813232422,
0.17541618645191... |
instruction:
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require a... | Where does Darla work?
| 9 | NIv2 | task193_duorc_question_generation | fs_opt | [
0.0864831954240799,
0.030434852465987206,
-0.43855786323547363,
-0.07776856422424316,
0.41969481110572815,
-0.01972002163529396,
0.8941408395767212,
0.7000941038131714,
-0.268248587846756,
0.08831603825092316,
-0.2620089650154114,
0.7315083742141724,
-0.11862628161907196,
0.403228193521499... |
TASK DEFINITION: Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
PROBLEM: Fractional crystallization is the separation of compounds on the basis of their solubilities in a given solvent.
SOLUTION: What is the separation of compounds on the basis of thei... | What are the winds that occur in belts that encircle the planet?
| 8 | NIv2 | task1552_scitail_question_generation | fs_opt | [
0.42811882495880127,
0.6330905556678772,
-0.314546674489975,
-0.13440677523612976,
-0.577486515045166,
-0.5742267370223999,
0.09327495098114014,
-0.4325304627418518,
0.05204830318689346,
-0.27012941241264343,
-0.7750153541564941,
0.5968351364135742,
-0.6124080419540405,
0.1205698698759079,... |
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
[EX Q]: claim: Gay couples should be allowed to marry.
perspe... | support
| 6 | NIv2 | task738_perspectrum_classification | fs_opt | [
-0.6205399036407471,
0.4141833782196045,
0.36380860209465027,
-0.3767835199832916,
0.02809605374932289,
-0.613740086555481,
0.8790098428726196,
0.7686627507209778,
0.43990087509155273,
-0.036768220365047455,
-0.5343407988548279,
-0.04653165489435196,
-0.5879868268966675,
-0.415661305189132... |
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'.
Input: Consider Input: news:The bank 's leasing arm Nordea Liising ended the year with a profit of 4.4 million euros .
polarity... | Output: false
| 2 | NIv2 | task844_financial_phrasebank_classification | fs_opt | [
-0.5629217624664307,
0.5312174558639526,
-0.28924328088760376,
0.8461305499076843,
0.13006341457366943,
-0.21593508124351501,
0.11691790819168091,
0.7009488344192505,
0.5635931491851807,
0.2983376383781433,
-0.35014355182647705,
0.45163077116012573,
-0.4073876738548279,
-0.3692106306552887... |
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 need to reverse the order of words in the given sentence.
Sentence: luggage surrounds a vehicle in an underground parking area
Solution: area parking underground an in vehicle a su... | background sky a and top on clock a with tower tall a | 0 | NIv2 | task376_reverse_order_of_words | fs_opt | [
-0.25016146898269653,
0.8590145707130432,
0.18541689217090607,
0.005857659038156271,
-0.022969212383031845,
-0.15786471962928772,
0.32670387625694275,
0.5546066761016846,
0.5603901147842407,
-0.1822693794965744,
-1.0521084070205688,
-0.6205764412879944,
-0.2497757226228714,
0.0236972011625... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the endin... | Everyone in the neighborhood watched Pat mow his lawn in shame.
| 3 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
-0.17704740166664124,
0.7263177633285522,
-0.10454856604337692,
-0.11772994697093964,
-0.3706572949886322,
-0.17861971259117126,
0.7165783047676086,
0.899867832660675,
-0.3476099967956543,
-0.13926342129707336,
-0.8720394372940063,
-0.10254524648189545,
0.01938251405954361,
-0.472760081291... |
Instructions: Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: この廃止法案は州の下院を86の案賛成および63の反対で可決された。
Output: | ລັດຖະບັນຍັດກ່ຽວກັບການຍົກເລີກໂທດແມ່ນຜ່ານຫ້ອງວ່າການສະມາຊິກຜູ້ແທນ ດ້ວຍຄະແນນສະໜັບສະໜູນ 86 ແລະ ຄັດຄ້ານ 63. | 3 | NIv2 | task1124_alt_ja_lo_translation | zs_opt | [
0.6664599180221558,
0.38023555278778076,
0.07270842790603638,
-0.6101506948471069,
-0.1751188039779663,
-0.7409396171569824,
0.43501830101013184,
0.8580584526062012,
-0.5556371212005615,
-0.25003913044929504,
-0.558128833770752,
-0.22818464040756226,
-0.18533121049404144,
0.085854493081569... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing... | Yes | 1 | NIv2 | task310_race_classification | zs_opt | [
0.29630953073501587,
0.5065451860427856,
-0.8372222185134888,
0.23956795036792755,
0.44011789560317993,
-0.012959298677742481,
0.5605032444000244,
1.231921911239624,
0.10703648626804352,
0.15407288074493408,
-0.3142874240875244,
0.716842770576477,
-0.5439208745956421,
-0.028178442269563675... |
You are given a sentence and a question in the input. The information provided in the sentence should be enough to answer the question. You're expected to write the correct answer. Do not use any facts other than those provided in the sentence.
One example: Sentence: GOP leaders submitted the new offer Tuesday afternoo... | They gave up and went to play in the water. | 6 | NIv2 | task051_multirc_correct_answer_single_sentence | fs_opt | [
-0.37402665615081787,
0.7143489122390747,
-0.2729724049568176,
-0.30279144644737244,
-0.5221558809280396,
-1.1529641151428223,
0.6751844882965088,
0.18034628033638,
0.3737659752368927,
-0.33113163709640503,
-0.6543579697608948,
-0.14255014061927795,
0.021774571388959885,
-0.173140496015548... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
Example: هم حسی (synesthesia) فرایندی عصبشناختی است که در آن، تحریک یک گذرگاه حسی یا ش... | اتریشی | 1 | NIv2 | task395_persianqa_answer_generation | fs_opt | [
-0.4426270127296448,
-0.20201292634010315,
0.28766804933547974,
0.23530350625514984,
0.24887317419052124,
0.4701622426509857,
0.7497649788856506,
0.5725869536399841,
0.4323996603488922,
0.03243337944149971,
-0.06395558267831802,
0.2925001382827759,
-0.19006496667861938,
0.00365391420200467... |
Q: Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Problem: a tourist does not have to pay tax on the first $ 600 of goods ... | b | 7 | NIv2 | task1678_mathqa_answer_selection | zs_opt | [
0.6420682668685913,
0.03761771321296692,
-0.34701457619667053,
0.23033083975315094,
0.09111952781677246,
-0.19283321499824524,
0.7091604471206665,
0.7082021832466125,
-0.19908739626407623,
0.42380237579345703,
0.11018337309360504,
0.350175678730011,
-0.17876315116882324,
-1.003499388694763... |
In this task, you will be presented with a question having multiple possible answers in French language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Example: Question: C'était un cadeau populaire et commun cette année, alors il s'est dirigé vers l... | Solution: A | 5 | NIv2 | task1136_xcsr_fr_commonsense_mc_classification | fs_opt | [
0.5275330543518066,
0.19935476779937744,
0.07706784456968307,
-0.2442072629928589,
0.5301055908203125,
-0.5666338801383972,
0.5286126136779785,
0.5324642658233643,
0.02145593985915184,
0.2528892755508423,
-0.22410385310649872,
-0.09658516943454742,
0.20293396711349487,
-0.6323518753051758,... |
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 pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Genera... | A man and a women hug. | 0 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
-0.19288429617881775,
0.18900181353092194,
0.025270480662584305,
-0.34447890520095825,
0.356394499540329,
-0.6997717618942261,
0.04430920630693436,
0.4685509204864502,
-0.09625063836574554,
-0.15702569484710693,
-0.6675841212272644,
-0.3092815577983856,
-0.5615842342376709,
-0.291499435901... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
[EX Q]: يمكنكم القول أن بعضاً من هذا هو التعليم.
[EX A]: Poden dicir que en parte é un problema de educación
[EX Q]: هذا هو عمي الأكبر ، الأخ الأصغر لجدي من جهة أبي.
[EX A]: Este é o meu tío avó, o irmán máis novo do pai d... | Un "" refuxio de 24 horas no tempo "", así o chaman.
| 6 | NIv2 | task1105_ted_translation_ar_gl | fs_opt | [
-0.7891320586204529,
0.6905117034912109,
0.28769275546073914,
-0.8793714046478271,
-1.0775529146194458,
-0.34150663018226624,
0.7457295656204224,
1.0330064296722412,
0.11506854742765427,
-0.44585198163986206,
-0.417916864156723,
0.3383084535598755,
-0.8048509359359741,
0.08531366288661957,... |
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 "m... | Why does the man want to borrow the women's notes? (A) He missed the classes. (B) He is not satisfied with his notes. (C) He has not taken any notes in class.
| 0 | NIv2 | task246_dream_question_generation | fs_opt | [
0.2662203907966614,
0.0267510786652565,
-0.2461223602294922,
-0.24265313148498535,
0.24637828767299652,
-0.3959578275680542,
0.6798778772354126,
0.5530566573143005,
0.3611984848976135,
-0.433599591255188,
-0.2549052834510803,
-0.16443505883216858,
0.13317790627479553,
0.06955215334892273,
... |
TASK DEFINITION: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an i... | [0, 0, 26, 1512, -11880, 1248, -20, -10, -1100, -803712, -18, 552]
| 8 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
0.6092194318771362,
0.22640591859817505,
-1.0927833318710327,
-0.04007592797279358,
0.1544480323791504,
-0.2189546674489975,
1.2752755880355835,
0.9053447246551514,
-0.5383781790733337,
-0.36326131224632263,
-0.7083267569541931,
0.1718544065952301,
-0.6245002150535583,
-0.36013665795326233... |
Definition: 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".
Input: Reviews: It shows that my phone was deliv... | True | 2 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.6544623970985413,
-0.2994192838668823,
-0.1652970016002655,
-0.6923733949661255,
-0.24828548729419708,
-0.42465001344680786,
0.4267406463623047,
0.7268053293228149,
-0.2788081169128418,
0.4369122385978699,
-0.604073703289032,
-0.009632579050958157,
-0.5902086496353149,
0.346294224262237... |
Teacher:This task is to translate the Telugu Language Input to English Language Output
Teacher: Now, understand the problem? Solve this instance: బాగా తెలుసు. మంచిది బుక్. బాగా వెళ్ళండి.
Student: | Know better. Book better. Go better. | 6 | NIv2 | task1617_cc_alligned_translate_tel_eng | zs_opt | [
0.470450758934021,
0.650108277797699,
0.4781583845615387,
-0.29730579257011414,
0.34525251388549805,
-1.32610023021698,
-0.03527326136827469,
-0.07951796054840088,
0.1470634490251541,
-0.5673203468322754,
-0.29294198751449585,
-0.04563082009553909,
-0.7792827486991882,
-0.10925695300102234... |
Detailed Instructions: In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
See one example below:
Problem: Hello. How may I aid you today?
Solution: agent
Explanation: This is a pretty strai... | agent | 4 | NIv2 | task575_air_dialogue_classification | fs_opt | [
-0.22837941348552704,
0.20913304388523102,
0.10147526860237122,
-0.6268905401229858,
-0.12435898184776306,
-0.5433180332183838,
0.7864193320274353,
0.08171749114990234,
0.5023049116134644,
0.3003750145435333,
-0.6103600263595581,
-0.4225233197212219,
-0.9556764364242554,
-0.203042104840278... |
A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence.
Q: একইসঙ্গে নিষ্ঠা ওয়েবসাইট, প্রশিক্ষণ মডিউল, মোবাইল অ্যাপ এবং বুকলেটেরও উদ্বোধন করেন তিনি।
A: इस अवसर पर मानव संसाधन विकास मंत्री ने कहा कि यह विश्व मे... | आपने देखा होगा हमारे देश में सैन्य व्यवस्था, सैन्य शक्ति, सैन्य संसाधन - उसके Reorm पर लंबे अरसे से चर्चा चल रही है।
****
| 4 | NIv2 | task1009_pib_translation_bengali_hindi | fs_opt | [
-0.5592255592346191,
0.16931146383285522,
-0.39474788308143616,
-0.5751478672027588,
-0.6493594646453857,
-0.24540925025939941,
0.5046528577804565,
0.6127327680587769,
0.3351721167564392,
-0.4132119119167328,
-0.6543748378753662,
0.5416786670684814,
-0.4704590141773224,
0.27558666467666626... |
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".
Abstract: Abstract Background: For the past 20 years numerous epidemiological studies have correlated the consumption of alcohol and a va... | yes | 0 | NIv2 | task1587_scifact_classification | zs_opt | [
-0.07334721833467484,
0.7134729623794556,
-0.44809699058532715,
0.1292015016078949,
0.014805346727371216,
-0.34464097023010254,
0.1225871592760086,
1.2450861930847168,
0.4560060501098633,
0.4529271721839905,
-0.18312925100326538,
0.008300310000777245,
-0.6591689586639404,
0.034730039536952... |
In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
One example is below.
Q: Hello. How may I aid you today?
A: agent
Rationale: This is a pretty straightforward dialogue, and the speaker wa... | agent | 9 | NIv2 | task575_air_dialogue_classification | fs_opt | [
-0.2960771322250366,
0.5634958744049072,
0.18608920276165009,
-0.7184246182441711,
-0.07449863851070404,
-0.20677818357944489,
0.8839334845542908,
-0.008370749652385712,
0.4683067202568054,
0.2062557339668274,
-0.5100181698799133,
-0.13704067468643188,
-0.8025506734848022,
-0.0717645287513... |
Q: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
मुझे यह जगह पसंद नहीं है.
A: | I don't like it here. | 7 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
-0.04960878565907478,
0.8725408911705017,
0.635584831237793,
0.09951265156269073,
0.27515101432800293,
-1.0996274948120117,
0.4062163829803467,
-0.4281802177429199,
-0.018828624859452248,
-0.7453370094299316,
0.1172654777765274,
0.5372658967971802,
-0.9417610168457031,
0.44560709595680237,... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Problem:To jest Sala Alice Tully, która jest jakby wetknięta pod Budynek Juilliarda, i schodzi kilka pięter pod poziom ulicy.
Solution: | זה אולם אליס טאלי, והוא תחוב מתחת לבניין ג 'וליארד ויורד כמה קומות מתחת לרחוב. | 8 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-1.3388649225234985,
0.6307234764099121,
-0.4814079999923706,
0.5059868097305298,
-0.043375734239816666,
0.4644654393196106,
0.11563660204410553,
0.14383649826049805,
1.0560717582702637,
-0.13631296157836914,
-0.15774039924144745,
0.4808690547943115,
-0.8054763078689575,
0.3568935096263885... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
זה למעשה מראה פליטת פחמן דו חמצני מסביב לעולם במהלך 30 השנים הבאות. | Praticamente mostra le emissioni di CO2 nel mondo per i prossimi 30 anni. | 0 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.9192640781402588,
0.4316540062427521,
-0.20602144300937653,
-0.47453391551971436,
-0.452572226524353,
-1.0753222703933716,
0.18069913983345032,
0.5398353338241577,
0.25927436351776123,
-0.6776275038719177,
-1.0365558862686157,
1.4215104579925537,
-0.22292079031467438,
-0.075312763452529... |
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 two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Sentence-1: I'm looking forward to it.<... | Yes | 0 | NIv2 | task566_circa_classification | fs_opt | [
-0.26281461119651794,
0.2827335298061371,
0.14638453722000122,
0.28705912828445435,
-0.12622369825839996,
0.198221355676651,
0.8905956149101257,
1.0379067659378052,
-0.07949019968509674,
-0.0707501694560051,
-0.08711336553096771,
-0.3995230197906494,
-0.4323558211326599,
0.0324262417852878... |
Q: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'inform... | informal | 7 | NIv2 | task1533_daily_dialog_formal_classification | zs_opt | [
-0.024477776139974594,
0.006616389378905296,
-0.431349515914917,
-0.19509245455265045,
-0.0853915587067604,
-0.3611847758293152,
0.25389501452445984,
0.4023103713989258,
-0.24891842901706696,
-0.024148788303136826,
-0.28555983304977417,
0.20718616247177124,
-0.5894964933395386,
-0.18628439... |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Input: E: [Odgłosy całowania] SW: Co powiesz na zakończenie?
Output: | [קול של נשיקה] ומה תרצי לומר כשיגיע הזמן ללכת? | 3 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.20614498853683472,
0.9314907789230347,
-0.2786793112754822,
-0.08304689079523087,
-0.57679682970047,
-0.23722440004348755,
0.17981532216072083,
0.1906890571117401,
-0.07666265964508057,
0.0028923330828547478,
0.2989054322242737,
0.6783004403114319,
-0.3901638984680176,
-0.09038095176219... |
Detailed Instructions: You will be given a context and a verb separated with a newline character, and you have to answer if the given verb can be anchored in time or not. We say a verb can be anchored in the real timeline if and only if a verb happened in the past, is happening now, or is guaranteed to happen in the fu... | No | 9 | NIv2 | task383_matres_classification | zs_opt | [
0.7540184855461121,
1.0466583967208862,
0.4342782497406006,
0.06844326853752136,
-1.1862688064575195,
-0.20867908000946045,
0.371210515499115,
1.1239392757415771,
-0.20389330387115479,
-0.3851010203361511,
0.14634473621845245,
0.3343384265899658,
-0.7332324981689453,
0.4596412479877472,
... |
In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
One example: They both let out relieved breaths at the doctor's words.
Solution is here: Plural
Explanat... | Singular | 6 | NIv2 | task431_senteval_object_count | fs_opt | [
-1.2272403240203857,
0.6302320957183838,
-0.2625105381011963,
-0.2647409439086914,
0.007671869359910488,
-0.6260812878608704,
1.320016860961914,
-0.2955125570297241,
0.39615869522094727,
-0.9512262344360352,
-0.5232760906219482,
0.39552801847457886,
-0.7709839344024658,
-0.0358304195106029... |
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".
[EX Q]: All but a handful of the shipment were defective. When brewing the water flowed through very slowly and large quantiti... | False
| 6 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
0.02323640137910843,
-0.2561829686164856,
0.22914770245552063,
0.0015974908601492643,
-0.448818564414978,
-0.5870716571807861,
1.1314793825149536,
-0.1096634715795517,
0.04719756543636322,
-0.04881611466407776,
-0.022582154721021652,
-0.16106881201267242,
-0.4697125554084778,
-0.1209347248... |
Detailed Instructions: 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... | Yes | 9 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
-0.22352257370948792,
0.24094010889530182,
0.6532087326049805,
-0.42192286252975464,
-0.39475229382514954,
-0.9439716339111328,
-0.04579426348209381,
0.7345795631408691,
-0.9580650329589844,
0.40571075677871704,
-0.4410589337348938,
-0.34186944365501404,
-0.2565704882144928,
0.253470420837... |
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... | Output: No
| 2 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.11286236345767975,
0.19086480140686035,
0.42416882514953613,
0.1002575159072876,
-0.4042019248008728,
-1.2670990228652954,
0.8406490683555603,
0.9603745341300964,
-0.32649320363998413,
-0.1096147671341896,
-0.47536787390708923,
-0.48793721199035645,
-0.7541799545288086,
0.031125746667385... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Input: שאלה טובה. בואו נחזור לבהוטן.
Output: | Bella domanda. Ma torniamo al Bhutan. | 2 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.06657885760068893,
0.6337906718254089,
-0.46519872546195984,
0.3550283908843994,
-0.5053493976593018,
0.16955485939979553,
0.8763025999069214,
0.12154828011989594,
0.5899416208267212,
-0.6719823479652405,
-1.3375201225280762,
0.6581695675849915,
0.20185869932174683,
0.4950195252895355,
... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 ... | [16, -14, 6, -18, -2, -17, 9, -11, -23, -8] | 1 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
0.5051504373550415,
0.15311948955059052,
-0.6619910001754761,
-0.004499738570302725,
0.29291975498199463,
0.1155717521905899,
1.1443517208099365,
0.36130672693252563,
0.22866368293762207,
0.21678698062896729,
-0.5213921070098877,
-0.5672777891159058,
-0.2938587963581085,
-0.019675306975841... |
Instructions: In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
Input: He watched the commercials in radi... | A | 3 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | zs_opt | [
-0.3610898554325104,
1.006909728050232,
-0.46446502208709717,
-0.585679292678833,
0.10120391845703125,
-0.008581709116697311,
0.14943787455558777,
0.6023971438407898,
0.06333669275045395,
0.4532872140407562,
-0.7878350019454956,
-0.2680716812610626,
0.3330007791519165,
-1.1505950689315796,... |
Detailed Instructions: In this task, you will be presented with a question having multiple possible answers in Hindi language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Problem:Question: क्या कार्यालय फर्नीचर कागज फ़ाइलों को संग्रहीत करता है?
... | A | 8 | NIv2 | task1134_xcsr_hi_commonsense_mc_classification | zs_opt | [
0.16856130957603455,
0.3359907865524292,
-0.8100194334983826,
0.24035325646400452,
-0.35782837867736816,
-0.7004828453063965,
0.42938685417175293,
0.6046257615089417,
0.5393326282501221,
-0.7423007488250732,
0.047236137092113495,
0.2849215567111969,
0.3750748038291931,
0.2981768250465393,
... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
[EX Q]: She will see me.
[EX A]: مرا خواهد پذیرفت.
[EX Q]: ;I will be perfectly frank,; she promised, with an uneasy conviction that she had not been frank with him and with a doubt if she could be quite frank with him t... | نگاهی هم به برادرش انداخت و اشارهای کرد و نگذاشت کسی از آن جمع تئاتری باز اصرار کند.
| 6 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
-0.10312797129154205,
1.0325260162353516,
-0.2568759322166443,
-0.006159376353025436,
-0.18207529187202454,
0.3214549422264099,
0.5952752828598022,
-0.39372551441192627,
1.0489869117736816,
-0.05792383849620819,
-0.08752673864364624,
0.32203900814056396,
0.2288091778755188,
0.4365321993827... |
instruction:
You are given a passage. Using the information present in the passage, you need to classify it into one of the 10 topics: 0 - 'Society & Culture', 1 - 'Science & Mathematics', 2 - 'Health', 3 - 'Education & Reference', 4 - 'Computers & Internet', 5 - 'Sports', 6 - 'Business & Finance', 7 - 'Entertainment &... | 5
| 9 | NIv2 | task1593_yahoo_answers_topics_classification | fs_opt | [
0.5633116364479065,
0.27259278297424316,
-0.4944164752960205,
0.03197367489337921,
-0.008289922960102558,
-0.04549540579319,
0.33180099725723267,
0.475937157869339,
0.33431506156921387,
-0.07003109902143478,
-0.4417296051979065,
0.6547931432723999,
0.2532041370868683,
0.16275916993618011,
... |
Detailed Instructions: Read the passage and find the corresponding pronoun for the given name. The word between ** ** is the target name. The pronoun should be one of 'her', 'him', 'he', 'she' and 'his' with proper casing based on the position in the passage.
Q: The editor of both Magic Carpet and Weird Tales, Farnswor... | her | 9 | NIv2 | task892_gap_reverse_coreference_resolution | zs_opt | [
-0.18889571726322174,
0.05852891504764557,
0.25179892778396606,
-0.2850334644317627,
0.43460941314697266,
-0.29056310653686523,
0.42253559827804565,
-0.32189279794692993,
0.42058271169662476,
-0.29742807149887085,
-0.489571213722229,
0.4507812261581421,
-1.1397457122802734,
-0.538051307201... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
See one example below:
Problem: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Solution: 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
Explanati... | これはおそらく現存する最古の勝利軍発プレス・リリースでしょう | 4 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
0.5166002511978149,
0.8414559364318848,
-0.19299454987049103,
-0.11919845640659332,
-0.037681303918361664,
-0.6985025405883789,
1.2549540996551514,
0.6262253522872925,
0.29861053824424744,
-0.43354612588882446,
-0.8508001565933228,
-0.4182240068912506,
-1.079430341720581,
-0.02049420028924... |
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Let me give you an example: Problem: what is difference between biggest and smallest fraction among 2 / 3 , 3 / 4 , 4 / 5 and 5 / 3
Options: a ) 2 / 5 , b ) 3 / 5 , c ) 1 / ... | d | 8 | NIv2 | task1420_mathqa_general | fs_opt | [
0.1801547110080719,
0.43504923582077026,
-0.2025180459022522,
-0.4603608250617981,
0.11445121467113495,
-0.3501654863357544,
0.008205100893974304,
0.6044785976409912,
-0.228453129529953,
0.2787323594093323,
-0.7518595457077026,
0.511116623878479,
-0.5081548094749451,
-0.3064790368080139,
... |
Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Problem:1, ['f', '2641']
Solution: | 2641 | 8 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
0.2877313494682312,
0.2412746697664261,
-0.22403013706207275,
-0.7538197040557861,
-0.21870829164981842,
-0.03112933225929737,
0.6685166954994202,
-0.21447822451591492,
0.2342042773962021,
-0.308120995759964,
-1.1121740341186523,
-0.4542618989944458,
-0.2070309817790985,
-0.699853479862213... |
Teacher:Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability... | Наличные средства могут использоваться для закупок на большинстве складов. | 6 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
0.2505112290382385,
0.4118346869945526,
0.24848595261573792,
-0.44930344820022583,
-0.4461091458797455,
-0.21337294578552246,
0.9898145198822021,
1.3515894412994385,
0.5161746144294739,
-0.8872155547142029,
-0.7469969987869263,
-0.06367072463035583,
-0.9586920738220215,
-0.3033577501773834... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in Spanish, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
La temporada de la NBA de 1975: 7... | Morton was son of John Morton , Member of Parliament for Shaftesbury , and the nephew of William Morton , the Archbishop of Canterbury . | 0 | NIv2 | task795_pawsx_spanish_english_translation | fs_opt | [
0.27636149525642395,
-0.36524081230163574,
-0.03226812928915024,
0.38390201330184937,
0.0722009539604187,
-0.9994741678237915,
0.6719483137130737,
1.0183489322662354,
0.33840611577033997,
0.26889270544052124,
0.26155394315719604,
1.0114648342132568,
-1.0434415340423584,
0.09289554506540298... |
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... | True
| 7 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
-0.25520089268684387,
0.1599043607711792,
-0.5375419855117798,
-0.1143931895494461,
0.08410756289958954,
0.19939568638801575,
0.873937726020813,
0.4462665319442749,
-0.049405042082071304,
0.18919742107391357,
0.12282563745975494,
0.08937276154756546,
-0.47868478298187256,
0.437635719776153... |
Given the task definition and input, reply with output. You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Person1: Good morning , Sir . Can I help you with something ? ... | 1 | 5 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
-0.031980179250240326,
0.7758172750473022,
-0.40936046838760376,
-0.04823199659585953,
0.015652328729629517,
-0.3276105523109436,
0.5841832756996155,
0.21001264452934265,
0.366801917552948,
0.08412320911884308,
0.0034021593164652586,
-0.5284566283226013,
-0.00935304444283247,
0.04846172407... |
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