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 |
|---|---|---|---|---|---|---|
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to de... | No | 7 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.14657610654830933,
0.17983192205429077,
0.6440341472625732,
-0.33967894315719604,
-0.5483602285385132,
-0.9027565717697144,
1.2821353673934937,
0.5070216655731201,
-0.40116971731185913,
-0.6832823753356934,
-0.3301585912704468,
-0.22533896565437317,
-0.7369445562362671,
0.707567811012268... |
In this task, you will be given two sentences separated by "because". You should decide whether the first sentence can be the result of the second sentence. If you can see a possible cause and effect relationship, answer with "plausible", otherwise answer with "not plausible".
Q: the smoke alarm went off because it was... | not plausible | 4 | NIv2 | task392_inverse_causal_relationship | zs_opt | [
-0.3006126582622528,
1.186213493347168,
0.7072654962539673,
-0.8720682263374329,
-0.28664249181747437,
-0.6157532930374146,
-0.06867257505655289,
0.7840551733970642,
0.5852338075637817,
-0.22921964526176453,
-0.5080792903900146,
0.03863311558961868,
-0.8207756280899048,
-0.418668270111084,... |
Teacher:Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: โรเจอร์ เวบบ์ นักวิจัยชั้นนำ แห่งศูนย์ป้องกันการฆ่าตัวตายของมหาวิทยาลัยแมนเชสเตอร์ผ... | 共同研究リーダーであるマンチェスター大学自殺予防センターのロジャー・ウェブ氏は、スコットランドで首吊りの率が高いのは「首吊りは致命率が高く、施設でない限り予防が難しいので、特に懸念される」と言った。 | 6 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.046551864594221115,
-0.15368342399597168,
-0.47643208503723145,
-0.5847564935684204,
0.0320732519030571,
-0.6533899307250977,
1.108123540878296,
0.3768346905708313,
-0.3220698833465576,
0.24943625926971436,
-0.5314991474151611,
0.8039564490318298,
-0.5917510986328125,
0.6854194402694702... |
In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
One example is below.
Q: #CNN really needs to get out of the #Propaganda Business.. 30 seconds on USN fallen Soldiers tragedy. Right back at spewing #... | Not angry | 9 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | fs_opt | [
-1.6493818759918213,
0.3362824320793152,
1.0416264533996582,
-0.018208010122179985,
-0.05648528039455414,
-0.7448701858520508,
0.2169930636882782,
0.46239084005355835,
0.3251318335533142,
0.7172773480415344,
0.14586405456066132,
0.005356208421289921,
-0.8328103423118591,
-0.330589354038238... |
TASK DEFINITION: In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
PROBLEM: شرایط لازم برای رئیس جمهور شدن در ایالات متحده چیست و شرایط در تانزانیا چگونه است؟ <s... | not-paraphrase
| 8 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-0.45157280564308167,
0.3954363167285919,
0.10410720854997635,
-0.435641348361969,
-0.8766904473304749,
0.4153485894203186,
1.5601847171783447,
0.7895219326019287,
0.35302412509918213,
0.0520334467291832,
-0.38793981075286865,
-0.4002704918384552,
-0.37550684809684753,
0.09284570813179016,... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | Original | 4 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-1.2784866094589233,
0.8472074270248413,
0.31228870153427124,
-0.48419299721717834,
0.013569829985499382,
-0.5123330354690552,
0.1987210363149643,
0.9608798027038574,
-0.019733622670173645,
-0.08960722386837006,
-0.5658937692642212,
-0.4019579291343689,
-1.367887258529663,
0.08391728997230... |
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Non-hateful | 3 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.5702556371688843,
0.1173994317650795,
0.4561120867729187,
0.7447633743286133,
-0.08678536862134933,
-0.6836056113243103,
1.1393077373504639,
0.8826830387115479,
0.48209911584854126,
0.3205059766769409,
0.1460784375667572,
0.13305774331092834,
-0.4177292585372925,
-0.5234100818634033,
... |
In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
Q: [5, 0, 5, 0, 5, 7, 3]
A: [7, 3]
****
Q: [1, 6, 0, 0, 5, 3]
A: [1, 6, 5... | [4, 0, 3]
****
| 4 | NIv2 | task097_conala_remove_duplicates | fs_opt | [
-0.05461358278989792,
0.48030003905296326,
-0.14513026177883148,
-0.28548678755760193,
0.41267699003219604,
-0.5515463948249817,
1.0678277015686035,
0.37380731105804443,
-0.5337232351303101,
-0.28393515944480896,
-0.937656044960022,
0.0567600280046463,
-0.08181504905223846,
-0.258228302001... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Input: 円の前に浮かぶネッカー立方体の境界線のようなものが見える人はいますか ？
Output: | Quanti di voi vedono quel tipo di cornice con il cubo Necker che galleggia davanti ai cerchi? | 2 | NIv2 | task1096_ted_translation_ja_it | zs_opt | [
-0.21626411378383636,
0.5452467203140259,
-0.07706595957279205,
-0.21995609998703003,
-0.04077375680208206,
-0.29813337326049805,
0.23828256130218506,
0.4948002099990845,
0.3650311231613159,
-0.18183213472366333,
0.037408292293548584,
-0.24660995602607727,
-0.3919708728790283,
0.1727758795... |
Detailed Instructions: In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, an... | 3491q9114157s1495 | 9 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
0.022265903651714325,
0.7737280130386353,
-0.620603084564209,
-0.41782623529434204,
-0.10414470732212067,
-0.049163103103637695,
0.36946535110473633,
-0.09606952965259552,
0.1994466781616211,
0.410380482673645,
-0.6745151281356812,
0.11785058677196503,
0.07977540791034698,
0.11373920738697... |
instruction:
In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
question:
Why are you frowning
answer:
... | English
| 9 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | fs_opt | [
-0.2310514897108078,
0.6276457905769348,
0.5232265591621399,
-0.526604413986206,
-0.4942091107368469,
-0.001604513730853796,
0.0952552855014801,
0.43786296248435974,
0.26638859510421753,
-0.26996099948883057,
-0.14785203337669373,
0.13800056278705597,
-1.0870773792266846,
-0.46802937984466... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Input: Consider Input: מה עם כל יתר המינים?
Output: ¿Qué hay de las otras especies?
Input: Consider Input: ואז אחד המעצבים יצא בריצה מהחדר ומצא טוש מחיק, מיכל של פילם — שכעת הפך להיות יקר ערך ביצירת אבי טיפוס — וסיכת ביטח... | Output: Es una hazaña increíble.
| 2 | NIv2 | task1236_ted_translation_he_es | fs_opt | [
-0.8588601350784302,
0.3778369724750519,
-0.30674588680267334,
0.7682639956474304,
-0.32060790061950684,
-0.03003498539328575,
0.029598858207464218,
0.4732753038406372,
0.25178322196006775,
-0.38312914967536926,
-0.6430424451828003,
0.897506058216095,
-0.7457031011581421,
-0.21940201520919... |
Detailed Instructions: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation ... | weakener | 4 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.1297377347946167,
0.638475775718689,
-0.17980512976646423,
0.18408933281898499,
-0.04563851282000542,
-0.8829556703567505,
0.7113571166992188,
1.218556523323059,
0.5730754137039185,
-0.6014744639396667,
-1.2524032592773438,
0.10108508169651031,
-0.5133264064788818,
-0.02657039277255535,... |
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.
How many rooms does the luxury cro... | 405 | 0 | NIv2 | task669_ambigqa_answer_generation | zs_opt | [
-0.2691158056259155,
0.4143727123737335,
-0.3690840005874634,
-0.3876758813858032,
-0.5686720609664917,
-0.14135022461414337,
0.6827957630157471,
-0.17825457453727722,
-0.29919546842575073,
-0.5086127519607544,
-0.9196851253509521,
0.43693727254867554,
-0.5350852608680725,
-0.2159669697284... |
Detailed Instructions: Given a sentence in Bulgarian, generate a new Bulgarian 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 rea... | Основното меню на моята интернет услуга говори като вестник. | 4 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
-0.05068635940551758,
0.09882824122905731,
-0.5202449560165405,
-0.6149644255638123,
-0.0015956293791532516,
-0.7291334867477417,
0.9838983416557312,
1.4270893335342407,
0.4012776017189026,
0.2887241840362549,
-0.2393762171268463,
0.5871726274490356,
-0.2963295876979828,
-0.258460283279418... |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Q: Sentence: 'five giraffes meandering along in their outdoor habitat'. How many words start with the letter 'f' in the sentence.
A: 1
****
Q: Sentence: 'a man in a wheel chair holdin... | 2
****
| 4 | NIv2 | task162_count_words_starting_with_letter | fs_opt | [
-0.3711274266242981,
0.5826835632324219,
-0.37396398186683655,
-0.6318292021751404,
0.0868772640824318,
0.07550516724586487,
0.14184248447418213,
0.5282988548278809,
0.3749411106109619,
-0.5008659362792969,
-1.0175631046295166,
0.1755337119102478,
-0.7471853494644165,
-0.18189528584480286,... |
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Example input: Sentence 1: The sum of ... | entails | 3 | NIv2 | task1554_scitail_classification | fs_opt | [
0.38660675287246704,
0.5869730710983276,
-0.20044267177581787,
-0.3450663387775421,
-0.24027864634990692,
-0.918811559677124,
-0.45960766077041626,
0.8865227699279785,
0.0858425721526146,
-0.4294423460960388,
-0.44199877977371216,
-0.35090145468711853,
-0.26127713918685913,
-0.224186152219... |
Part 1. Definition
Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
Part 2. Example
In 1582 the united provinces invited francis, duke of anjou to lead them; but after a failed attempt to take antwerp in 1583, the duke left the netherlands a... | The point in time of 1974 Norfolk mid-air collision was when? | 7 | NIv2 | task470_mrqa_question_generation | fs_opt | [
0.43273258209228516,
1.0114171504974365,
0.2715284526348114,
-0.42920607328414917,
0.7065547108650208,
-0.12603425979614258,
-0.35262465476989746,
0.17910388112068176,
0.04965083301067352,
-0.020659243687987328,
-0.15020743012428284,
0.382718026638031,
-0.6936713457107544,
0.20089817047119... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Q: Person1: Hey , Sandy , what's new ? Interested in a movie toni... | 1
****
| 4 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.21125507354736328,
0.3897056579589844,
0.11377664655447006,
0.2633756399154663,
0.8168557286262512,
-0.324776291847229,
0.8232401013374329,
0.80501389503479,
-0.17006680369377136,
-0.05458682402968407,
-0.13155597448349,
-0.1571631282567978,
-0.35790032148361206,
0.17990082502365112,
0... |
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.
Input: Consider Input: Suppose modern technology were the figment. Suppose you were writing a technology-fiction book about teenagers attending an ... | Output: positive
| 2 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.002705745864659548,
0.2910163402557373,
-0.035068854689598083,
-0.19611574709415436,
-0.1309000551700592,
-0.37630605697631836,
1.1402968168258667,
0.5880616307258606,
0.21833334863185883,
0.4324684143066406,
-0.36924105882644653,
0.030545903369784355,
-0.789348840713501,
-0.65122449398... |
In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list of n... | [2, 4, 8]
| 5 | NIv2 | task098_conala_list_intersection | fs_opt | [
0.5127924680709839,
0.2604258954524994,
-0.23514366149902344,
-0.3093629479408264,
0.1230463981628418,
-0.1829742193222046,
0.6108853816986084,
0.7982702255249023,
-0.15659227967262268,
0.16832277178764343,
-0.8215210437774658,
-0.47811177372932434,
-0.36265408992767334,
-0.089921183884143... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Solution: Yes | 5 | NIv2 | task1200_atomic_classification_xeffect | fs_opt | [
0.5123898983001709,
0.28013336658477783,
0.20266655087471008,
-0.24647533893585205,
-0.6295864582061768,
-0.6928098797798157,
1.3775274753570557,
0.49718520045280457,
-0.48850393295288086,
-0.4997936189174652,
-0.5338788032531738,
-0.16703352332115173,
-0.857939600944519,
0.090889200568199... |
Detailed Instructions: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and t... | 3a, 4b | 8 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
-0.006666450295597315,
0.1563902348279953,
0.01989733800292015,
-0.617219090461731,
-0.06125730648636818,
-0.004090197384357452,
-0.043995995074510574,
0.655166506767273,
-0.18389089405536652,
0.09518025815486908,
-1.025639533996582,
0.18207325041294098,
-0.42203328013420105,
-0.1256168186... |
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Sentence: 'Foley 's Inn Hotel is located in the Southern Downtown area of San Francisco .', Argument/Subject 1: 'hotel', Argument/Subject 2: 'downtown' | be locate | 0 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
-0.08715634047985077,
-0.21552643179893494,
-0.030828841030597687,
-0.343927800655365,
-0.5051474571228027,
-0.8619246482849121,
-0.1630784124135971,
0.43191829323768616,
0.9025965929031372,
0.029387079179286957,
0.1743912398815155,
0.174568310379982,
-0.9426806569099426,
-0.04281818494200... |
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 paragraph will have a clear point of view supporting the claim. 2) There can be... | The number of people hospitalized for the novel coronavirus and related deaths in New York fell to their lowest levels in more than a week, adding to evidence the hardest-hit state was controlling its spread, Governor Andrew Cuomo said on Thursday.
| 7 | NIv2 | task1369_healthfact_sentence_generation | fs_opt | [
0.6304690837860107,
0.4780350923538208,
-0.0011840990046039224,
-0.46721524000167847,
0.7559020519256592,
-0.9114969372749329,
0.06164667382836342,
0.9858629703521729,
-0.1777729094028473,
0.24129749834537506,
-0.2768481969833374,
1.0074156522750854,
-0.10982300341129303,
0.332595825195312... |
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 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 l... | [-18, 38, 1232, -44] | 1 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
-0.1935432404279709,
0.7066906094551086,
-0.3379592299461365,
0.14492805302143097,
0.262597918510437,
0.06930182874202728,
0.8859440088272095,
0.20489129424095154,
0.18617159128189087,
-0.03775957226753235,
-0.6519511938095093,
-0.13158753514289856,
-0.32762497663497925,
-0.607959985733032... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of... | SIMILAR
| 7 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.19141608476638794,
0.21812555193901062,
0.07474814355373383,
-1.0180554389953613,
-0.3270540237426758,
-0.11221664398908615,
0.8721393942832947,
0.9161416292190552,
-0.056853629648685455,
-0.36880552768707275,
-0.3763503134250641,
0.24973544478416443,
-0.4267006516456604,
0.394377231597... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
[Q]: Cio significa che ognuno di noi e dei nostri figli ne consuma l'equivalente di una borsa di 2,3 chili di peso — una di quelle borse che avete a casa — se ne avessi una qui e la aprissi strappandola, l'ammasso che avre... | You've all seen that. That's a solar eclipse.
| 5 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
0.5848668813705444,
0.2986883819103241,
-0.4929129481315613,
0.1524183601140976,
-0.39771121740341187,
-0.8271072506904602,
-0.2596604824066162,
0.9983178377151489,
0.02386648580431938,
0.0830451175570488,
-0.039268530905246735,
0.6164369583129883,
-0.6248613595962524,
-0.1115761399269104,... |
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "Fal... | False
| 7 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
0.0331750251352787,
0.2957639992237091,
0.12779738008975983,
0.205403134226799,
-0.43139222264289856,
-1.2910007238388062,
0.9164376854896545,
0.7784155607223511,
-0.06818562746047974,
-0.07627986371517181,
-0.360953688621521,
-0.3613286316394806,
-0.369314044713974,
0.1075238436460495,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in Persian, and your task is to translate it into English.
سم ، خوبي ، تو حالت خوبه .
Solution: sam . alright , youre alright .
Why? This is a good example. Th... | rousseau... | 0 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
0.31660816073417664,
0.3475261330604553,
0.18420667946338654,
-0.8144425749778748,
-0.14089880883693695,
0.05694010853767395,
0.6309137344360352,
0.30331623554229736,
0.5596412420272827,
-0.1723899245262146,
-0.5022138357162476,
0.6625425219535828,
0.014548643492162228,
0.1517021209001541,... |
Teacher: 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'.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Problem: on a sum of money , the... | e | 2 | NIv2 | task1419_mathqa_gain | fs_opt | [
0.7665339112281799,
-0.08557762950658798,
-0.582338809967041,
-0.5817471146583557,
-0.09892880916595459,
-1.050313949584961,
1.4521987438201904,
1.1487035751342773,
-0.3104517459869385,
0.13696405291557312,
-0.4122248888015747,
0.2016150802373886,
-0.8507332801818848,
-0.3936355412006378,
... |
TASK DEFINITION: This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sentiment.... | NEGATIVE
| 8 | NIv2 | task1414_ajgt_twitter_ar_classification | fs_opt | [
-0.5911057591438293,
-0.1890803873538971,
0.42112356424331665,
-0.6490212082862854,
-0.41826915740966797,
-0.20791316032409668,
1.302112102508545,
0.004415448289364576,
0.5176910758018494,
-0.12078757584095001,
-1.0278091430664062,
0.03162636607885361,
-0.2647755742073059,
0.28022137284278... |
Given the task definition and input, reply with output. 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 bărbat într-un costum gri închizând lacătul de la o bicicletă
| A man in a gray suit locking up a bicycle | 5 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
-0.20801526308059692,
0.699447751045227,
0.09736205637454987,
-0.2783682942390442,
-0.03379979729652405,
-0.18750452995300293,
0.44840890169143677,
0.277878999710083,
0.482496440410614,
0.1431068480014801,
-0.6948968172073364,
1.4087843894958496,
-0.47823965549468994,
0.16052386164665222,
... |
Definition: Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Japanese: ムスリム同胞団は紛争中に子供たちが殺されたと主張したが、アリ大佐はムスリム同胞団が使った写真は、実... | No | 2 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.3380683660507202,
-0.3371035158634186,
-0.14477044343948364,
0.2595699429512024,
-0.14292171597480774,
-0.45768725872039795,
0.2548643946647644,
0.33456483483314514,
-0.060926951467990875,
-0.023592181503772736,
-0.5322855710983276,
0.44709011912345886,
-0.9363518357276917,
0.8158866763... |
Given the task definition and input, reply with output. Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Context: As of the census of 2000, there were 218,590 people, 79,667 households,... | italian | 5 | NIv2 | task469_mrqa_answer_generation | zs_opt | [
0.1560095101594925,
0.9512128829956055,
-0.01425941288471222,
0.4077174961566925,
-0.13076674938201904,
-0.4284472167491913,
-0.17919397354125977,
1.1810617446899414,
0.11072322726249695,
0.20320823788642883,
-0.3474958837032318,
1.0464801788330078,
-0.4750881791114807,
0.04658361524343490... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Example: PPdQTlHHTJEe, DydQTlHHVnmlLu
Output: dQTlHH
Here, 'dQTlHH' is the longest common substring in both the input strings 'PPdQTlHHTJEe... | HVcvzzZ | 1 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
-0.15816983580589294,
1.2656152248382568,
-0.5616470575332642,
-0.16277867555618286,
-0.18054449558258057,
-0.47815272212028503,
0.3119518756866455,
-0.4144102931022644,
0.0342753529548645,
-0.03354443609714508,
-0.8057727813720703,
-0.6570671796798706,
0.39385512471199036,
-0.020004140213... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Pero es algo totalmente equivocado.
Output: | Ma è del tutto sbagliato. | 1 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
0.020597252994775772,
1.1844507455825806,
-0.18501946330070496,
0.3903096616268158,
0.1113402470946312,
-0.9709581136703491,
0.280689537525177,
1.0001274347305298,
-0.059090085327625275,
-0.11382857710123062,
-0.6624053120613098,
-0.2579140067100525,
-0.023592118173837662,
0.08269470930099... |
In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
Example Input: [-... | 170
| 3 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.19495029747486115,
0.4169248938560486,
0.10821523517370224,
0.011222973465919495,
-0.2100132405757904,
0.00926815252751112,
0.07607630640268326,
0.18279612064361572,
0.5607669353485107,
-0.36478114128112793,
-0.6430144309997559,
-0.21013906598091125,
-0.5503054857254028,
-0.220506131649... |
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Input: Consider... | Output: requires
| 2 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
0.0629761815071106,
1.0470037460327148,
0.0007766995113343,
-0.42538848519325256,
-0.16341279447078705,
-0.33585309982299805,
0.28413495421409607,
1.0788047313690186,
0.05394047498703003,
-0.330763041973114,
-1.003300428390503,
-0.2651139497756958,
-0.5252088904380798,
0.2843687832355499,
... |
Teacher: In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M... | B | 2 | NIv2 | task611_mutual_multi_turn_dialogue | fs_opt | [
0.30019426345825195,
-0.34792327880859375,
-0.5711702108383179,
0.25702452659606934,
0.4541955292224884,
-0.10004544258117676,
0.8069955110549927,
0.9477908611297607,
-0.6258733868598938,
0.32857805490493774,
-0.3890499770641327,
0.21753951907157898,
-0.0760667473077774,
-0.028217790648341... |
Definition: Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Input: I am an illiterate on electronic devices. This thing is fabulous! I've been using it for over a year, and there's nothing bad to say about it. The battery goes forever; it's easy to read; it's easy to flip pag... | Positive Review | 2 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
0.24234539270401,
-0.019321277737617493,
0.09561115503311157,
-0.7185306549072266,
0.3852883577346802,
-0.2542353570461273,
0.9306248426437378,
-0.42816728353500366,
0.7891862988471985,
0.48652511835098267,
-0.35288238525390625,
-0.17979632318019867,
-0.5257932543754578,
-0.220678851008415... |
Q: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Comment: In a morbidly obese America made morbidly stupid by excess... | Non-sexual-explicit | 7 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-0.888039231300354,
0.43586277961730957,
0.8774524331092834,
-0.21153557300567627,
-0.311090886592865,
-0.16134615242481232,
0.2188357561826706,
0.5847657918930054,
0.1744169443845749,
0.2951398491859436,
-0.10584453493356705,
0.15186281502246857,
0.17628899216651917,
-0.653355598449707,
... |
Detailed Instructions: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Problem:[[-13, 29], [31, 1,... | [-377, -773388, -3564, 264, 5184, 36408, 2160] | 8 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
0.14387734234333038,
-0.20548713207244873,
-0.8054516315460205,
-0.5837026834487915,
-0.282795250415802,
-0.06551212072372437,
1.3632237911224365,
-0.08055010437965393,
-0.22572565078735352,
-0.5130745768547058,
-1.2241137027740479,
-0.04531111568212509,
-0.42697107791900635,
-0.3210117816... |
Detailed Instructions: The goal of this task is to translate questions in English into Catalan. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the text must be written as a question
See one example below:
Problem: How many points did the Panthers... | Què són els mestres d’obra? | 4 | NIv2 | task1677_xquad-ca_translation | fs_opt | [
-0.21008619666099548,
0.7208890914916992,
-0.06968469172716141,
-0.31562748551368713,
-0.20582064986228943,
-1.2015142440795898,
0.6362207531929016,
0.3365625739097595,
-0.07007244974374771,
-0.03327145054936409,
-0.4817139506340027,
0.10836689174175262,
-0.9027345180511475,
0.069628626108... |
Detailed Instructions: Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
See one example below:
Problem: able
Solution: unable
Explanation: The output is correct as able and unable are opposities of each other in meaning.
Problem: salty
Solution: | fresh | 4 | NIv2 | task1508_wordnet_antonyms | fs_opt | [
0.4856085777282715,
1.634436845779419,
0.741370439529419,
-0.6045901775360107,
-0.26604580879211426,
-1.0618557929992676,
0.2697630226612091,
0.49588626623153687,
0.1980396807193756,
-0.784699559211731,
-0.6019148826599121,
-0.1335335373878479,
-1.3002293109893799,
0.0835864245891571,
0.... |
This task is to translate a news commentary given in Dutch language into Portuguese 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.
Let me give you an example: De Britse premier David Camer... | Por exemplo, muitas vezes os proprietários de lojas especializadas chegam à conclusão que fazer o seu negócio online é muito mais rentável do que ter uma loja física, porque o comércio retalhista online contribui para expandir o mercado do conhecimento contido nos produtos que vendem. | 8 | NIv2 | task1375_newscomm_translation | fs_opt | [
-0.6779649257659912,
0.49842771887779236,
-0.20345109701156616,
-0.10016551613807678,
-0.24136143922805786,
0.5287364721298218,
-0.25913432240486145,
0.7951573729515076,
0.5646510124206543,
0.024838082492351532,
-0.16630420088768005,
1.0100605487823486,
-1.0932763814926147,
-0.029644470661... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a text and question. The question is about the topic of the document. You are expected to generate an incorrect answer. The incorrect answer should be among one of the following categories: 1)Company, 2)Educational I... | Animal | 1 | NIv2 | task631_dbpedia_14_incorrect_answer_generation | zs_opt | [
-0.5413658618927002,
0.47425228357315063,
-0.21904078125953674,
0.06556213647127151,
0.10300254076719284,
0.1431225687265396,
-1.145483136177063,
0.7359195351600647,
-0.3493824005126953,
-0.25694942474365234,
0.07490366697311401,
-0.04532598704099655,
0.14332768321037292,
-0.10510151833295... |
Teacher: You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
Teacher: Now, understand the problem? If you are still confused, see the ... | 1 | 2 | NIv2 | task1186_nne_hrngo_classification | fs_opt | [
-0.38555192947387695,
0.581099808216095,
-0.27491044998168945,
0.12530109286308289,
-0.38752982020378113,
0.09998828172683716,
0.859926164150238,
0.8062765598297119,
0.0654427707195282,
-0.1611490547657013,
-0.4958628714084625,
-0.7009022235870361,
-0.43634578585624695,
-0.1071589142084121... |
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting ... | U5963N3814
| 3 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
0.065412238240242,
-0.0804772824048996,
-0.5589141845703125,
-0.34169846773147583,
-0.002541323658078909,
-0.11504694819450378,
0.9855411648750305,
0.49621203541755676,
-0.6463479995727539,
0.025407947599887848,
-0.7668909430503845,
0.07923011481761932,
-0.11854079365730286,
0.009314773604... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Comment:... | Identity-attack
| 0 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
0.010235046967864037,
0.3588500916957855,
0.2732098400592804,
0.014442184008657932,
-0.5195955634117126,
-0.9320634603500366,
0.8559778928756714,
0.508941650390625,
0.90178382396698,
0.10521680116653442,
0.13379886746406555,
-0.08112656325101852,
-0.22361141443252563,
-0.45860254764556885,... |
Q: 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
The site collects your demographic information for an additional (non-basic) service or feature. Collection happens when ... | Additional service/feature | 7 | NIv2 | task683_online_privacy_policy_text_purpose_answer_generation | zs_opt | [
-0.7314701676368713,
-0.29509761929512024,
-0.5642117261886597,
0.08770111948251724,
-0.8901437520980835,
-0.9395918846130371,
-0.05165403336286545,
-0.4119866192340851,
0.2214043140411377,
0.817156195640564,
0.8476068377494812,
0.2668869197368622,
-0.2602357268333435,
-0.4965425729751587,... |
This task is about translating a given Yoruba language sentence to English.
Liverpool 20:45 Real Madrid ? | Liverpool 20:45 Real Madrid ? | 0 | NIv2 | task1686_menyo20k_translation | zs_opt | [
0.9986310005187988,
0.7683321237564087,
0.4410029649734497,
0.3653215765953064,
-0.25870874524116516,
-0.17707158625125885,
0.3374806046485901,
-0.32403987646102905,
0.6251884698867798,
-1.0218746662139893,
-0.03514569625258446,
0.747618556022644,
-1.2075731754302979,
-0.37022724747657776,... |
This task is about translating a given English language sentence to Spanish.
[EX Q]: Hopefully, it's been responsible to our client's needs and the community's needs.
[EX A]: Con suerte, satisfará las necesidades del cliente y de la comunidad.
[EX Q]: This system equates intelligence with a knowledge of English — (La... | Y estoy seguro de que algunos de estos filósofos fue por ahí con un cuchillo y trató de hacerlo y sentían precisamente eso, oh, si tan sólo pudiera conseguir que el cuchillo estuviera más afilado podría seguir cortando una y otra vez.
| 6 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.7198827266693115,
0.9126096367835999,
0.7095874547958374,
-1.270673394203186,
-0.09123420715332031,
-0.9759911298751831,
0.4385029673576355,
0.2681741714477539,
0.31892478466033936,
-0.9744424819946289,
0.33660992980003357,
0.000445403391495347,
-0.5675358176231384,
0.37147289514541626,... |
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Q: Phosphates are made of _ phosphorus atom surrounded by four oxygen atoms.
A: one
****
Q: Rams can be policerate, often producing _ horns.
A: four
****
Q: Elk are more than _ times the size of deer.
A: | three
****
| 4 | NIv2 | task672_nummersense | fs_opt | [
1.1615712642669678,
0.39016103744506836,
-0.14433148503303528,
-0.6254895925521851,
-0.5292803645133972,
-0.9097254276275635,
1.2538273334503174,
0.17350436747074127,
-0.056956321001052856,
-0.05813666433095932,
-0.6993638873100281,
0.32195019721984863,
-0.4553070068359375,
0.0630394518375... |
Detailed Instructions: In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it conta... | 3 | 8 | NIv2 | task1541_agnews_classification | zs_opt | [
-0.9712202548980713,
0.06336718797683716,
-0.5306404829025269,
0.9237868189811707,
0.1748332381248474,
-0.5731679201126099,
-0.16827470064163208,
0.2841169238090515,
0.20963451266288757,
0.16032381355762482,
-0.2513620853424072,
0.1550627052783966,
0.48522377014160156,
-0.02849087864160537... |
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
--------
Question: [-77, 20, -99, -25, 17, -98, -79, 96, 76, 60, 95]
Answer: ... | [85, 72, 127, 16, 84, 90, 120, 9, 102, 84, 91]
| 7 | NIv2 | task125_conala_pair_differences | fs_opt | [
-0.7535327672958374,
0.23003655672073364,
-0.33402693271636963,
-0.35037797689437866,
-0.36577582359313965,
-0.007222313433885574,
1.1352641582489014,
0.28102296590805054,
0.17754794657230377,
-0.16330674290657043,
-0.35417717695236206,
-0.2417323887348175,
-0.3732253313064575,
-0.03834306... |
Q: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Comment: You make no sense.
You're senseless.
... | Non-threat | 7 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.7014515399932861,
1.179567575454712,
0.9699719548225403,
-0.01268104650080204,
0.273306280374527,
-0.5944507122039795,
1.0883867740631104,
0.9518240094184875,
0.013109911233186722,
0.21697598695755005,
0.028466228395700455,
-0.10047037899494171,
-0.7449180483818054,
-0.9850231409072876,... |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Input: Consider Input: Както беше казано, публичното радио- и телевизионно разпространяване често играе водеща роля в иновациите в сферата на услугите, но е ясно, че това въздейс... | Output: - Joint motion for a resolution:
| 2 | NIv2 | task271_europarl_translation | fs_opt | [
-0.33821848034858704,
0.21353214979171753,
-0.22963613271713257,
-0.17327998578548431,
0.3315177857875824,
0.031886257231235504,
0.6215785145759583,
0.9806200861930847,
0.5827912092208862,
0.43445396423339844,
-0.3813212215900421,
0.9366925954818726,
-0.7777484059333801,
-0.586910605430603... |
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).
Example input: Alonzo feels angry.
Example output: male
Example explanation: The gender of the person is correct and detected mainly based on ... | male | 3 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.4404175877571106,
0.44747307896614075,
-0.496479868888855,
-0.4417406916618347,
-0.5232214331626892,
-0.776110053062439,
0.8174705505371094,
-0.05371405929327011,
0.487508624792099,
-0.1384166032075882,
-0.8673117160797119,
0.0980987548828125,
-0.9783682823181152,
0.07664184272289276,
... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
One example: Person1: Are you ready to order , sir ?
Person2: Yes... | 0 | 6 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.1880834698677063,
-0.07802729308605194,
-0.4848964214324951,
0.0947161391377449,
0.0861109271645546,
-0.6434577107429504,
1.1186643838882446,
0.42908674478530884,
-0.20771408081054688,
-0.3046022951602936,
-0.025034623220562935,
-0.5447304844856262,
-0.14226189255714417,
-0.0664914622902... |
Definition: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: هیچ گاه هم به فکر مردی، زنی یا کودکی نمیرسد که به من ظنین شود.
Output: | and not a single man, woman, or child will ever think of suspecting me. | 2 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
-0.38806265592575073,
0.6341626048088074,
-0.582878589630127,
-0.22203895449638367,
-0.5175061225891113,
0.48582661151885986,
1.0807253122329712,
0.4318184554576874,
0.9177267551422119,
-0.2148778736591339,
-0.6742106676101685,
0.7124590873718262,
-0.8295773267745972,
0.43945303559303284,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 4 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
-0.011188865639269352,
0.5845620632171631,
0.21929678320884705,
-0.2533116936683655,
-0.158139169216156,
-0.7034211754798889,
1.4280880689620972,
0.592745304107666,
-0.43321120738983154,
-0.6447256803512573,
-0.6433200240135193,
-0.11214208602905273,
-0.7413296699523926,
0.241639643907547,... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
[Q]: Vengono denominate procedure di minimizzazione.
[A]: Se denominan procedimientos de minimización.
[Q]: HM: Beh, la motivazione intrinseca dovrebbe essere imparare.
[A]: HM: Bueno, la motivación interna debería ser a... | Resulta que la gente interactuaba con el robot mucho más, aún cuando la calidad del asesoramiento era idéntico al de la computadora.
| 5 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-1.073887825012207,
0.5424588918685913,
0.1324124038219452,
-0.07364392280578613,
-0.23178625106811523,
-0.7320914268493652,
-0.06544479727745056,
1.230553150177002,
0.6215126514434814,
0.1172901839017868,
-0.4660381078720093,
0.021501289680600166,
0.3021511137485504,
0.5847333073616028,
... |
Teacher: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Teacher: Now, understand the problem? If you are still confused, see the following example:
فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع... | Una danza lúdica. | 2 | NIv2 | task1232_ted_translation_ar_es | fs_opt | [
-0.4006640315055847,
0.6606094241142273,
-0.5925095677375793,
-0.20011019706726074,
-0.7257754802703857,
-0.21152667701244354,
1.1495487689971924,
0.6153392791748047,
0.356082558631897,
-0.13459137082099915,
-0.10491190105676651,
0.34543377161026,
-1.1359686851501465,
-0.3000006675720215,
... |
Detailed Instructions: 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 ... | Our patient left thinking the plastic banana tree was real. | 9 | NIv2 | task071_abductivenli_answer_generation | zs_opt | [
-0.16957589983940125,
0.6204503774642944,
-0.17488133907318115,
-0.6517326831817627,
-0.23631685972213745,
-0.6736619472503662,
0.7731688022613525,
0.3688317835330963,
0.051562778651714325,
0.10638140141963959,
-0.5758788585662842,
0.46123984456062317,
-0.0422244593501091,
0.07309610396623... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
aveva una fisicità, e inizi ad andare sempre più a fondo in una specie di narrazione aveva una fisicità, e inizi ad andare sempre più a fondo in una specie di narrazio... | że ma energię i siłę. Człowiek zaczyna się wtedy zagłębiać w rodzaj narracji, który podąża tą drogą w stronę obrazu. I tak więc to jest,, Małpa z aparatem marki Leica "",, Relaks "" | 5 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-1.3671897649765015,
0.9043897986412048,
0.28584539890289307,
0.1970701664686203,
-0.4069288372993469,
-0.5350825190544128,
0.5348654985427856,
0.07902798801660538,
-0.015750456601381302,
-0.325195848941803,
-0.6596084237098694,
0.2840016484260559,
-0.9490354657173157,
0.6511087417602539,
... |
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... | Numbers Win | 3 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
-0.018752647563815117,
0.3978117108345032,
-0.3455688953399658,
0.02372683584690094,
-0.5261173248291016,
-0.44298580288887024,
0.5051017999649048,
-0.5464293956756592,
-0.12023098766803741,
0.009995478205382824,
-0.9649640321731567,
0.6760584115982056,
-0.02050425484776497,
0.208263680338... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Example input: Tagalog sentence: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams
Example output: Roger Federer was the first player to win 20 Grand Slams
Example explan... | 2:2 And suddenly there came from heaven a sound as of the rushing of a mighty wind, and it filled all the house where they were sitting. | 3 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
-0.328571081161499,
0.6903364658355713,
-0.5705142617225647,
0.06667649745941162,
0.8599374294281006,
-0.9853613376617432,
0.19729305803775787,
0.512043833732605,
-0.2732030153274536,
-0.10315148532390594,
-0.007629933301359415,
0.9171863794326782,
-1.205551028251648,
-0.5868144631385803,
... |
Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Input: E podem ver que ao longo dos últimos 25 anos, a Grécia mal conseguiu economizar mais de 10 por cento do seu PIB.
Output: | و مشاهده می کنید که در طول ۲۵ سال گذشته ، یونان به سختی توانسته بیش از ۱۰ درصد تولید ناخالص داخلی خود را ذخیره کند. | 3 | NIv2 | task1282_ted_translation_pt_fa | zs_opt | [
-0.32896965742111206,
1.4334657192230225,
0.2461092323064804,
-0.5205017328262329,
-0.13510847091674805,
-0.46477317810058594,
0.11920727789402008,
0.9005022048950195,
0.3550490736961365,
1.0126259326934814,
-1.0720709562301636,
0.6239744424819946,
-0.3821505606174469,
-0.3670392632484436,... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Q: A_Severed_Wasp | OCLC_number | 8805735
A: A Severed Wasp was assigne... | The Olympic Stadium, in Athens, is the home ground of AEK Athens FC. the manager of which, is Gus Poyet, who played for Chelsea F.C.
****
| 4 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-0.8227436542510986,
0.2678597569465637,
-0.8632142543792725,
-0.326057493686676,
-0.40776288509368896,
-0.7832401990890503,
0.6577749252319336,
-0.2061770111322403,
-0.23230460286140442,
0.5921260118484497,
0.21147292852401733,
1.2385070323944092,
-0.6832331418991089,
-0.33644843101501465... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Input: Consider Input: אז כאשר הייתי פוסט-דוקטורנט מורעב באוניברסיטת קולומביה, הייתי עמוק בשלב לפרסם-או-לחדול בקריירה שלי.
Output: وقتی یه دانشجوی فقیر فوق دکترا بودم در دانشگاه کلمبیا زندگی حرفه ای من وابسته به منتشر کردن کت... | Output: نظام سیاسی ما می تواند تغییر کند ولی نه این که واژگون و نابود شود ، بلکه با بازنویسی از طریق ابزاری که که اینترنت در اختیارمان می گذارد.
| 2 | NIv2 | task1113_ted_translation_he_fa | fs_opt | [
-0.49026986956596375,
0.4642318785190582,
0.1416139304637909,
0.15852972865104675,
-0.6162011623382568,
-0.17661598324775696,
0.511745810508728,
0.2931731939315796,
0.3677975833415985,
-0.336995005607605,
-0.5737842321395874,
0.6667050123214722,
-0.7000505924224854,
-0.36696237325668335,
... |
You will be given a definition of a task first, then some input of the task.
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said ... | I've been doing it for over a year now. I also do yoga every day. | 1 | NIv2 | task1729_personachat_generate_next | zs_opt | [
-0.8534404635429382,
0.11378949880599976,
-0.2979009449481964,
0.1713632494211197,
-0.6970219016075134,
-0.2686465382575989,
0.46352607011795044,
-0.2673742473125458,
-0.0693083107471466,
-0.48158133029937744,
-0.048144321888685226,
-0.4443921148777008,
-0.17829519510269165,
0.049957942217... |
Detailed Instructions: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and... | 2, But he didn't have a lot of money. | 9 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.3126829266548157,
0.8359857797622681,
-0.07748613506555557,
-1.2621183395385742,
0.20111387968063354,
-0.37308651208877563,
0.8751305341720581,
-0.39136505126953125,
0.1191847175359726,
-0.12274272739887238,
-0.47839921712875366,
-0.26246896386146545,
-0.49022185802459717,
0.33293214440... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. 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 ... | Vera was having dinner at her favorite restaurant.
| 6 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
-0.387541264295578,
0.4508269131183624,
0.05317113548517227,
-0.45471006631851196,
-0.41264429688453674,
-0.48313724994659424,
0.1972654014825821,
0.6627142429351807,
-0.3001408278942108,
-0.29630041122436523,
-0.7664636373519897,
-0.027337975800037384,
-0.3341748118400574,
-0.098865807056... |
Teacher: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Who did the Han Chinese want to help the Khitan no I mean the Mongols fight?
Solution: Who did... | Of what form are Mersenne primes? | 2 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
-0.2192273885011673,
0.6935693621635437,
-0.019217077642679214,
-1.1145784854888916,
-0.11173448711633682,
-0.7919502854347229,
0.832614004611969,
0.5924230813980103,
0.49741309881210327,
-0.09131073206663132,
-0.9612458944320679,
-0.9707747101783752,
-0.9866299629211426,
-0.46405339241027... |
Part 1. Definition
In this task, you need to count the number of times the given letter appears in the given sentence.
Part 2. Example
Sentence: 'a large group of bananas proped up on several bicycles'. Find frequency of the letter 'e'
Answer: 5
Explanation: The letter 'e' appears 5 times in the sentence.
Part 3. Exerc... | 2 | 7 | NIv2 | task113_count_frequency_of_letter | fs_opt | [
-0.0998445376753807,
0.012308411300182343,
-0.5602433085441589,
-0.2481316328048706,
0.016612056642770767,
-0.3302736282348633,
1.183887004852295,
0.7811480760574341,
-0.43879973888397217,
-0.01191598642617464,
-1.0557971000671387,
0.35605084896087646,
-0.2627614140510559,
-0.0575791895389... |
Detailed Instructions: In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
Q: W: I don't think we should t... | Tom has arranged a surprise party for Lucy. | 9 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
-0.22320020198822021,
1.1448631286621094,
0.24264101684093475,
-0.8842660188674927,
-0.3810298442840576,
-0.8085280060768127,
0.4616464674472809,
0.36212968826293945,
0.7063736915588379,
0.005149118602275848,
-0.4804421663284302,
0.2208309769630432,
-0.23046758770942688,
-0.058893077075481... |
In this task you are given data in tabular format and a question. Write an **incorrect** ansswer to this question based on the information in the table.
Table: ['AIRLINE', 'ICAO', 'IATA', 'CALLSIGN', 'COMMENCED OPERATIONS']. ['Air Uganda', 'UGA', 'U7', 'UGANDA', '2007']. ['Eagle Air (Uganda)', 'EGU', 'H7', 'AFRICAN EA... | ['2nd'] | 0 | NIv2 | task759_msr_sqa_incorrect_answer_generation | zs_opt | [
-1.1486252546310425,
1.2169215679168701,
-0.6742034554481506,
-0.8074220418930054,
0.1485200822353363,
0.027489248663187027,
0.25339969992637634,
0.9875008463859558,
-0.683225154876709,
0.44885414838790894,
0.17037634551525116,
-0.05930294468998909,
-0.01795673742890358,
0.0369164980947971... |
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).
One example: Alonzo feels angry.
Solution is here: male
Explanation: The gender of the person is correct and detected mainly based on the name ... | male | 6 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.4992017149925232,
0.7304023504257202,
-0.37952500581741333,
-0.5113020539283752,
-0.35422784090042114,
-0.5864675641059875,
0.8271556496620178,
-0.0024213725700974464,
0.3322719931602478,
0.06132001802325249,
-0.925355076789856,
-0.23549491167068481,
-1.098358392715454,
0.00670820707455... |
Given the task definition and input, reply with output. In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
[-40, -78, -10, -86]
| [38, 68, 76] | 5 | NIv2 | task125_conala_pair_differences | zs_opt | [
-1.0645089149475098,
0.45810630917549133,
-0.5344197750091553,
0.019335156306624413,
-0.41864854097366333,
0.11711268126964569,
0.5383510589599609,
-0.003052810672670603,
0.4279654026031494,
-0.5392458438873291,
-0.2981981039047241,
-0.042521968483924866,
-0.2869548797607422,
0.05717436969... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | 9 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.36325573921203613,
0.32137244939804077,
0.1034846156835556,
0.3011093735694885,
-0.4135655164718628,
-0.8003759384155273,
0.878088116645813,
0.5996596813201904,
-0.5584813356399536,
-0.4273504614830017,
-0.507610559463501,
-0.4836609661579132,
-0.6833165287971497,
0.3837136924266815,
0... |
Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and... | marcy buys puppy >Causes> marcy feel(s) happy | 3 | NIv2 | task749_glucose_reverse_cause_emotion_detection | zs_opt | [
-0.5348045229911804,
-0.004843002185225487,
-0.32377296686172485,
0.20402151346206665,
-0.3873313069343567,
-0.6894090175628662,
0.14879101514816284,
0.8004167079925537,
0.5424196720123291,
-0.09074199199676514,
-0.5075533390045166,
0.30468830466270447,
-0.40610164403915405,
-0.10198700428... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
One example: I heard enough of what she said to you last night to understand her unwillingness to be acting with a stranger;
Solution is here: دیشب شنیدم به تو چه میگفت. فهمیدم که دوست ندارد با یک غریبه این نقش را بازی کن... | و او مارتین ایدن میتوانست این کار را برای روت مورس انجام دهد و حتما انجام میداد، | 6 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
0.5740556716918945,
1.2545539140701294,
-0.33045512437820435,
-0.26063892245292664,
-0.42595168948173523,
-0.8730841875076294,
1.2608531713485718,
0.2045641541481018,
0.38165491819381714,
-0.05580507963895798,
0.02012644335627556,
0.44407331943511963,
-0.4372527003288269,
-0.26094463467597... |
Instructions: In this task, given a sentence in the Thai language, your task is to convert it into the English language.
Input: Sharansky ได้ลาออกจากจากตำแหน่งรัฐมนตรีว่าการกระทรวงกิจการพลัดถิ่นและเยรูซาเล็ม โดยได้รับการอนุมัติจากนายกรัฐมนตรี Ariel Sharon ในการประชุมคณะรัฐมนตรีเมื่อวันอาทิตย์
Output: | Sharansky’s resignation as Minister of Diaspora Affairs and Jerusalem was accepted by Prime Minister Ariel Sharon at Sunday’s cabinet meeting. | 3 | NIv2 | task537_alt_translation_th_en | zs_opt | [
0.14501242339611053,
0.6880404353141785,
-0.0033535114489495754,
-0.4832971692085266,
-0.07250189781188965,
0.8980131149291992,
0.8616738319396973,
0.05903889983892441,
-0.21326719224452972,
0.3302342891693115,
0.7926526665687561,
1.1933813095092773,
-0.9038348197937012,
0.3799009025096893... |
Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is whe... | blue_treasure_chest | 9 | NIv2 | task154_tomqa_find_location_hard_noise | zs_opt | [
0.5048325657844543,
-0.5666776895523071,
-0.5449114441871643,
0.1458449363708496,
-0.321633905172348,
-0.25036904215812683,
0.3267195224761963,
0.4683865010738373,
-0.031205415725708008,
-0.12010414898395538,
-0.37863755226135254,
1.3244274854660034,
0.08380961418151855,
0.0939892604947090... |
Teacher:In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Teacher: Now, understand the problem? Solve this ... | Swedish | 6 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.45454925298690796,
0.7006351947784424,
0.8355262875556946,
-0.5327982306480408,
0.1870259940624237,
-0.4912257194519043,
0.3964797258377075,
0.8988966345787048,
0.7477148771286011,
-0.5765821933746338,
0.05241412669420242,
0.030955083668231964,
0.010520074516534805,
-0.6572825312614441,... |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common'... | film
| 3 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.1855652779340744,
0.3352772295475006,
-0.1459476351737976,
0.04069025069475174,
0.4507403075695038,
-0.3710101842880249,
-0.35852688550949097,
0.5260813236236572,
-0.09643419086933136,
-0.17880327999591827,
-0.22740550339221954,
-0.31177860498428345,
-0.3440392017364502,
-0.4221037328243... |
Instructions: 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 proba... | Con el maestro anterior, el aprendizaje se convierte en un rey. | 3 | NIv2 | task417_mickey_es_sentence_perturbation_generation | zs_opt | [
-0.4248545169830322,
0.6496202349662781,
-0.06742314994335175,
-0.6124173402786255,
-0.1912437081336975,
-0.18141648173332214,
0.40378278493881226,
1.4455262422561646,
0.06070555001497269,
-0.9974737167358398,
-0.5464600324630737,
0.12418429553508759,
-0.4364941716194153,
-0.32154184579849... |
We would like you to classify each of the following sets of argument pairs (discussing Gay Marriage) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FA... | Similar
| 6 | NIv2 | task147_afs_argument_similarity_gay_marriage | fs_opt | [
-0.1740800142288208,
0.3536602854728699,
-0.02039303630590439,
-0.10662910342216492,
0.3948900103569031,
-0.3533041477203369,
0.7099729776382446,
0.8951429128646851,
-0.45164933800697327,
-0.09110946953296661,
-0.9375430345535278,
0.6918008923530579,
-0.7761145830154419,
-0.289232909679412... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while... | False | 0 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | zs_opt | [
0.34673792123794556,
0.1266295313835144,
-0.21969400346279144,
-0.44537824392318726,
-0.2497110366821289,
-0.15856201946735382,
0.9850044250488281,
0.8905166983604431,
-0.09955314546823502,
0.11393401026725769,
-1.1636929512023926,
0.1228962242603302,
-0.35917335748672485,
-0.2283308655023... |
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
who has the most grammys of all time | Sir Georg Solti | 0 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.3645116090774536,
1.1613463163375854,
0.512468695640564,
-0.614260196685791,
-0.5749074816703796,
-0.5759420394897461,
0.5605654716491699,
0.034774281084537506,
0.14035403728485107,
-0.5561388731002808,
-0.48538148403167725,
0.2532689571380615,
-0.03007453680038452,
-0.0856563150882721,... |
Teacher: In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input... | [['4', 'a', 'L', '5', '3'], ['4', 'a', 'L', '5', 'r'], ['4', 'a', 'L', '3', 'r'], ['4', 'a', '5', '3', 'r'], ['4', 'L', '5', '3', 'r'], ['a', 'L', '5', '3', 'r']] | 2 | NIv2 | task208_combinations_of_list | fs_opt | [
0.07539781928062439,
-0.37524867057800293,
-0.7288902997970581,
0.12853914499282837,
0.5543656945228577,
-0.6250084042549133,
0.27858927845954895,
1.0041240453720093,
-0.6885594129562378,
0.13985878229141235,
0.10983936488628387,
0.11625394970178604,
0.1056048572063446,
-0.5093238353729248... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to... | Kay loves the sour lemon and sweet topping >Causes/Enables> Kay decides this is her new favorite pie | 4 | NIv2 | task748_glucose_reverse_cause_event_detection | zs_opt | [
-0.2909475564956665,
0.4708000421524048,
0.2629581093788147,
-0.22643685340881348,
-0.2594219148159027,
-1.014507532119751,
0.43194127082824707,
1.4255030155181885,
-0.5029013156890869,
0.4603128433227539,
-0.1379205584526062,
-0.37720930576324463,
-0.23109960556030273,
0.0639200210571289,... |
Given the task definition and input, reply with output. In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
For the emotion recognition from text, we manually transcribe all utterances of our AMMER study. To ... | For the emotion recognition from text they use described neural network as baseline.
For audio and face there is no baseline. | 5 | NIv2 | task460_qasper_answer_generation | zs_opt | [
-0.3012778162956238,
0.13842134177684784,
-0.21103432774543762,
-0.054500021040439606,
-0.19989082217216492,
-0.14270451664924622,
0.5183087587356567,
0.5205254554748535,
0.2642723321914673,
-0.19241634011268616,
-0.6163113713264465,
0.28229525685310364,
-0.25864067673683167,
0.67267793416... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Example: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
Output: Es una lucha interna, una lucha en contra ... | Así que estoy caminando y digo, "" Ahí está Chris Anderson. | 1 | NIv2 | task1223_ted_translation_ja_es | fs_opt | [
-0.16051384806632996,
-0.08770734071731567,
-0.3441677689552307,
-0.001968451077118516,
-0.42067205905914307,
0.3078046441078186,
-0.6053827404975891,
-0.04625413566827774,
-0.12886101007461548,
-0.3054136037826538,
-0.044818468391895294,
-0.3592016100883484,
-0.9041208028793335,
-0.302124... |
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".
Example Input: M: Would you like to go to a party tonight? W: That sounds like a good idea. M: Would 7:00... | (C) Half an hour.
| 3 | NIv2 | task247_dream_answer_generation | fs_opt | [
0.4361833930015564,
-0.261957585811615,
-0.2972358167171478,
-0.014448530040681362,
0.4244036078453064,
0.003651364240795374,
0.3622472286224365,
0.16522638499736786,
-0.037031471729278564,
-0.09619984775781631,
-0.44259291887283325,
0.14332081377506256,
0.30979299545288086,
0.105949670076... |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Telugu language. The translation must not omit or add information to the original sentence.
Problem:గడచిన ఐదు సంవత్సరాలలో సగటున రోజుకొక పనికిరాని చట్టాన్ని నేను రద్దుచేశాను.
Solution: | গত ৫ বছরে আমরা প্রতিদিন প্রায় একটি করে অপ্রয়োজনীয় আইন বাতিল করেছি। | 8 | NIv2 | task1032_pib_translation_telugu_bengali | zs_opt | [
0.5122349858283997,
0.7732220888137817,
-0.16920489072799683,
0.9407314658164978,
-0.398395299911499,
-1.319427728652954,
0.2530288100242615,
1.0656780004501343,
-0.5581963658332825,
-0.13328517973423004,
-1.1105053424835205,
-0.5239776372909546,
-0.8943542242050171,
0.35238248109817505,
... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Solution: Sentence 1: PersonX dropped out of marathon training while PersonY trained harder. _ had already suffered a bad ACL injury.
Sentence 2: PersonX dropped out of marathon training while PersonY trained harder. _ had never suffered a bad ACL injury. | 5 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.35498538613319397,
0.21870622038841248,
-0.056644126772880554,
-0.19972476363182068,
0.5350165367126465,
-0.4934115409851074,
0.7788345813751221,
0.8140456080436707,
-0.04568829387426376,
-0.6440163850784302,
-0.5379922389984131,
-0.30032432079315186,
-0.5334488153457642,
0.3454827070236... |
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_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_TURN_RIGHT I_JUMP | 6 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.22491377592086792,
0.6733905076980591,
-0.3069072365760803,
-0.08284742385149002,
0.1654704213142395,
-0.05007100850343704,
0.36712056398391724,
0.13712039589881897,
-0.21837715804576874,
-0.4287705719470978,
-0.867424726486206,
-0.2859317362308502,
-0.7873403429985046,
-0.15782949328422... |
Given the task definition and input, reply with output. You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Category: AMERICANA WORMS
Clue: This ... | edgar allan poe | 5 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-0.5610500574111938,
0.8636893033981323,
-0.06992597877979279,
-0.021234827116131783,
-0.3111298382282257,
-0.5464674234390259,
0.01271864678710699,
0.033403292298316956,
0.12275353074073792,
-0.05885954573750496,
-0.30435416102409363,
0.2044123262166977,
-0.1040298268198967,
-0.3588044941... |
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