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 |
|---|---|---|---|---|---|---|
Part 1. Definition
In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
Part 2. Example
3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Answer: a, 931, 13245
Explanation: Here, every 3rd element from array are 'a... | Y, 7391, 5789 | 7 | NIv2 | task1542_every_ith_element_from_starting | fs_opt | [
0.4933978319168091,
0.0032711406238377094,
-0.4907386898994446,
-0.7723654508590698,
-0.13425275683403015,
-0.37681370973587036,
0.5123875737190247,
0.33171236515045166,
-0.3628773093223572,
-0.14331896603107452,
-0.7142996788024902,
0.3854716420173645,
-0.19421836733818054,
0.355003297328... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: 父兄は、生徒の間での白血病の多発を含めた学校や職場での健康問題についての懸念を表明し、何年も求めてきた対話を始めた。
Khamer: អាណាព្យាបានបានបញ្ច... | Yes
****
| 4 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
0.15424343943595886,
-0.4705318808555603,
0.02997964806854725,
-0.07374259829521179,
0.08001571893692017,
-0.9857005476951599,
0.3401735723018646,
0.6797224283218384,
-0.15046557784080505,
-0.3650166988372803,
0.17319276928901672,
0.845200777053833,
-0.8358757495880127,
0.3486858904361725,... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Q: Kiedy Kleiber — widzieliście te oczy, uciekające stąd? (Śpiew) Wiecie co się stało? Grawitacja przestała działać.
A: | Cando Kleiber o fai... vistes os ollos, movéndoos dende aquí? (Cantando) Sabedes o que ocorre? A gravidade xa non existe. | 9 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-0.8376892805099487,
1.3430167436599731,
-0.5022871494293213,
-0.7345613241195679,
-0.7157500386238098,
-0.9266818165779114,
0.4049389958381653,
-0.08722604066133499,
-0.443808376789093,
-0.5162177681922913,
-0.4715252220630646,
-0.343119740486145,
-0.8260592222213745,
0.40459465980529785,... |
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Ex Input:
Cont... | C
| 1 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
-0.08818336576223373,
0.744320273399353,
0.22216005623340607,
-0.15107876062393188,
-0.10553114861249924,
-0.2832047939300537,
0.555843710899353,
0.46053874492645264,
-0.429657518863678,
-0.3336023688316345,
-0.4980730414390564,
-0.22138182818889618,
0.20810092985630035,
-0.397322028875350... |
Instructions: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Input: Which major river has its source at the confluence of the rivers Brigach and Breg in the Black Forest?
Output: | breg | 3 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.388763964176178,
0.7229621410369873,
-0.10471346974372864,
-0.9401760101318359,
-0.9924727082252502,
-0.07321653515100479,
1.1092345714569092,
0.12291573733091354,
0.734675407409668,
-0.6120380759239197,
-0.8876957297325134,
-0.25687888264656067,
-0.9795178771018982,
0.14156509935855865,... |
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: 600人に及ぶ（いくつかの報告では数千人）怒った抗議の群衆が大統領宮殿の外側の殉教者広場に集まった。
Output: | ຝູງຄົນປະທ້ວງທີ່ໂມໂຫປະມານ 600 ຄົນ - ບາງລາຍງານວ່າ ຫຼາຍພັນຄົນໄດ້ລວມໂຕກັນທີ່ເດີ່ນ ມາຕ້າຍ Martyrs ທາງນອກຫ້ອງວ່າການປະທານນາທິບໍດີ. | 3 | NIv2 | task1124_alt_ja_lo_translation | zs_opt | [
0.26219871640205383,
0.4911130666732788,
-0.36590102314949036,
-0.27414342761039734,
-0.3385598063468933,
-0.467425674200058,
-0.3972775340080261,
0.11265203356742859,
-0.0638849139213562,
-0.45597952604293823,
-0.4610540568828583,
0.4366533160209656,
-0.6755483150482178,
0.295053303241729... |
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.
Example: Comment: Enough already. Cut the head o... | Solution: Non-threat | 5 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.5555781722068787,
0.6358513832092285,
0.7554139494895935,
0.08188416063785553,
0.038155317306518555,
-0.5490896701812744,
0.9922472834587097,
0.9385099411010742,
-0.11476346850395203,
0.20330780744552612,
0.013182771392166615,
-0.056303929537534714,
-0.7400646209716797,
-0.5047871470451... |
Teacher:Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.
Teacher: Now, understand the problem? Solve this instance: Abstract: Ovarian histology and function were assessed before and afte... | Adult | 6 | NIv2 | task620_ohsumed_medical_subject_headings_answer_generation | zs_opt | [
0.24138814210891724,
0.16165894269943237,
-0.6287400126457214,
-0.25789162516593933,
0.13890701532363892,
-0.3894130289554596,
-0.22034922242164612,
0.9504332542419434,
0.47608497738838196,
0.052230022847652435,
-0.1445658653974533,
-0.450177937746048,
-0.34294718503952026,
0.0445910692214... |
Definition: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexu... | Yes | 2 | NIv2 | task608_sbic_sexual_offense_binary_classification | zs_opt | [
-1.3853192329406738,
0.04185496270656586,
0.35669535398483276,
0.30309373140335083,
-0.04383626580238342,
0.11629658192396164,
-0.09408657997846603,
0.4154942035675049,
0.21022018790245056,
0.2970813512802124,
0.09596892446279526,
-0.4089718759059906,
-0.33441320061683655,
-0.5044379234313... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating yo... | a | 1 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
-0.28320473432540894,
0.42601898312568665,
-0.2644774913787842,
0.38356029987335205,
-0.07515504211187363,
0.29390382766723633,
0.35706865787506104,
1.077716588973999,
0.22388221323490143,
0.44043493270874023,
-0.656093955039978,
-0.005212173797190189,
-0.14684675633907318,
-0.176054865121... |
Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have t... | No | 6 | NIv2 | task1204_atomic_classification_hinderedby | zs_opt | [
1.1027684211730957,
0.3607654571533203,
0.5353858470916748,
-0.2400183528661728,
-0.42314645648002625,
-0.9042218327522278,
0.3053916096687317,
0.26518210768699646,
-0.6301828026771545,
-0.2265876829624176,
-0.3087512254714966,
-0.5578219890594482,
-0.38205423951148987,
-0.3243676722049713... |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Q: It is not enough to describe some objects by their location. We may also need to know its direction. For exa... | Yes | 4 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
0.2266894280910492,
-0.19778428971767426,
-0.18352684378623962,
0.03757157176733017,
-0.15254394710063934,
-1.1773619651794434,
-0.05587378889322281,
0.5340571403503418,
-0.0033353380858898163,
0.4637531638145447,
-0.3162500858306885,
0.041818078607320786,
0.0030977721326053143,
-0.0870212... |
TASK DEFINITION: A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
PROBLEM: 7 فیصد کمپنیاں اس شرح کے دائرے سے باہر رہیں گی۔ ’’
SOLUTION: 7 ശതമാനം കമ്പനികള് മാത്രമാണ് ഈ പരിധിക്കു പുറത്തു വരിക.
PROBLEM... | 5 കോടി വീടുകള് നിര്മ്മിച്ചിട്ടുണ്ടെന്ന് അദ്ദേഹം കൂട്ടിച്ചേര്ത്തു.
| 8 | NIv2 | task1060_pib_translation_urdu_malayalam | fs_opt | [
-0.16719114780426025,
0.5259836912155151,
0.14747101068496704,
-0.37117573618888855,
-0.33642858266830444,
0.43184056878089905,
0.886986255645752,
0.47811591625213623,
0.1694815307855606,
-0.448142409324646,
-0.7408404350280762,
0.3829374611377716,
-0.49777302145957947,
0.4501129686832428,... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: Teraz, kiedy zrobisz wszystkie te rzeczy o których mówiliśmy, razem, i może jeszcze jakieś inne, dochodzisz do tego wspaniałego punktu, robienia bez robienia... | Agora, se estades a facer todo do que falamos, todos xuntos, e pode que algúns outros, podedes chegar ao marabilloso extremo de facer sen facer. | 6 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-0.550324559211731,
0.7107553482055664,
0.4337131381034851,
-0.8126764297485352,
-0.1617649346590042,
-0.6242153644561768,
0.6873188018798828,
0.05515861138701439,
-0.43346619606018066,
-0.20947468280792236,
0.14659638702869415,
0.1904686689376831,
0.13505315780639648,
-0.07528845965862274... |
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Example: Sentence1: 'a red bus goes down the street beside a yellow building', Sentence2: 'the colorfully decorated living room has a retro style chair in it'. Is the frequency of the word 'beside' in two sent... | Solution: Yes | 5 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.7061433792114258,
0.640343964099884,
-0.5593655705451965,
-0.08380050212144852,
0.16051077842712402,
-0.41680485010147095,
0.46076804399490356,
1.1097573041915894,
0.08659921586513519,
0.10525888949632645,
-0.32772767543792725,
-0.1744135320186615,
0.34988537430763245,
0.091636970639228... |
You will be given a definition of a task first, then some input of the task.
This task is to translate a news commentary given in French language into Russian language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the c... | Около одного миллиарда человек страдают от хронического голода – примерно на 100 миллионов больше, чем два года назад. | 1 | NIv2 | task1377_newscomm_translation | zs_opt | [
-0.7016351222991943,
0.34912794828414917,
0.4161003828048706,
-0.19716183841228485,
-0.21772006154060364,
0.4934413433074951,
0.6898043751716614,
0.6092841625213623,
-0.2843715250492096,
0.020076734945178032,
-0.46003827452659607,
-0.6738805770874023,
-0.13432776927947998,
0.31915175914764... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Example Input: تقریبا تمامی جنبه های ارتباطات انسانی تغییر کرده اند ، و البته این بر روی دروغ گفتن نیز تاثیر گذاشته است.
Example Output: Casi todos los aspectos de la comunicación humana han cambiado, y por supuesto hay un i... | que algo tiene que estar pasando.
| 3 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-1.0557023286819458,
0.6172876954078674,
0.11382859945297241,
-0.4151862561702728,
-0.4480835795402527,
-0.11609021574258804,
0.9310058355331421,
0.8746011257171631,
0.06337533891201019,
-0.5647143125534058,
-1.3362417221069336,
0.5609896183013916,
-0.5326168537139893,
0.3897358775138855,
... |
In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Ex Input:
Passage: As a passenger ship sails by the bleak ruins of a deserted is... | A Conspiracy of Hope.
| 1 | NIv2 | task002_quoref_answer_generation | fs_opt | [
0.8069554567337036,
0.2489507794380188,
-0.5304229259490967,
-0.13651078939437866,
0.43690088391304016,
0.4186581075191498,
0.749837338924408,
0.8099086880683899,
-0.45809680223464966,
0.3303579092025757,
0.47677087783813477,
0.02841419167816639,
-0.30504679679870605,
0.10429127514362335,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
فجئت بقوالبي وبخختها على البذلة ، وعلى الدبابة وعلى سائر الجدار وهذا ما يبدو عليه اليوم حتى إشعار آخر. (ضحك) الآن, أريد ترككم مع "" لا "" أخيرة. | Yo vine con mis plantillas, y pinté sobre el traje, sobre el tanque y en todo el muro y así está hoy hasta nuevo aviso. (Risas) Ahora, quiero dejarles un no final. | 0 | NIv2 | task1232_ted_translation_ar_es | zs_opt | [
-0.5635567307472229,
0.5986366868019104,
-0.5344637036323547,
-0.5460023880004883,
-0.8663943409919739,
0.1756548285484314,
0.8132358193397522,
0.8638333082199097,
0.3671729564666748,
-0.6755791306495667,
-0.24709253013134003,
0.3288288116455078,
0.03948479890823364,
0.3298237919807434,
... |
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopol... | non-geopolitical | 4 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | fs_opt | [
-0.9550266265869141,
-0.21791806817054749,
0.6450620889663696,
0.3932437300682068,
-0.9900503158569336,
-0.3229851722717285,
0.29923754930496216,
0.13710495829582214,
0.14082325994968414,
-0.3782561421394348,
-0.26390236616134644,
-0.32152462005615234,
0.19045820832252502,
0.05158787593245... |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
(Wideo): oh, oh, oh, oh, oh, oh.
A: | (וידאו): או, או, או, או, או, או, | 7 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.8132708072662354,
0.8205826282501221,
-0.33403876423835754,
-0.13198783993721008,
-0.057319968938827515,
-0.1398828774690628,
0.19274896383285522,
-0.15753255784511566,
0.7336735129356384,
-0.08885464817285538,
0.08946290612220764,
-0.44343775510787964,
0.015461381524801254,
-0.25585949... |
Definition: 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: The earth is the shape of a table.
(... | B | 2 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | zs_opt | [
0.023988500237464905,
0.8276494741439819,
-0.6671350002288818,
-0.24508967995643616,
-0.1338813304901123,
-0.43586525321006775,
0.4280427396297455,
0.18737266957759857,
0.11676438897848129,
0.16996002197265625,
-0.7591639757156372,
0.3543429672718048,
-0.14825579524040222,
-0.3489489853382... |
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correc... | Depleting energy stores. | 9 | NIv2 | task041_qasc_answer_generation | fs_opt | [
-0.13597248494625092,
0.5181148052215576,
-0.1454554796218872,
0.4518499970436096,
-0.5863330364227295,
-1.563772439956665,
0.14737962186336517,
0.4933124780654907,
-0.751699686050415,
-0.3988193869590759,
-1.125870943069458,
0.33866116404533386,
-0.5914722084999084,
-0.2160111665725708,
... |
Teacher:In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,...
... | name[Loch Fyne], eatType[restaurant], food[French], priceRange[high], familyFriendly[yes] | 6 | NIv2 | task958_e2e_nlg_text_generation_parse | zs_opt | [
-0.6197432279586792,
0.34537434577941895,
0.08863222599029541,
-0.6298359632492065,
0.0006853610975667834,
-0.3539162874221802,
0.8779399394989014,
0.3478558659553528,
-0.12424394488334656,
-0.3531493544578552,
0.9194759726524353,
-0.43896761536598206,
-0.9074718952178955,
-0.1156285703182... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
A súa importancia confúndese co drama sensacionalista do horario de máxima audiencia da tele. | Ich znaczenie wstapia się w wyreżyserowany dramat telewizji w godzinach szczytu. | 0 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
-0.9899015426635742,
0.8618682622909546,
-0.04416589438915253,
-0.000046746135922148824,
-0.5101594924926758,
0.1706666350364685,
1.1600487232208252,
-0.20218336582183838,
0.018763482570648193,
-0.5230262875556946,
-0.5886813998222351,
0.1520976722240448,
-0.6307569742202759,
0.50358664989... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Sentence 1: Lou was ge... | a | 1 | NIv2 | task220_rocstories_title_classification | zs_opt | [
-0.08815222978591919,
0.5365241169929504,
0.11914092302322388,
-0.5740437507629395,
0.1262916624546051,
0.008676830679178238,
0.23479175567626953,
0.8064110279083252,
0.1161985695362091,
0.5581587553024292,
-0.5364900231361389,
-0.3028072118759155,
0.1343975067138672,
-0.44801604747772217,... |
Instructions: Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Input: Tagalog sentence: Nang makita ni Gehazi, ang alipin ni Eliseo, ang malaking hukbo ng kaaway, siya ay natakot. Sumigaw siya at sinabi, Paano ang ating gagawin? Sinabi... | When Elisha's servant, Gehazi, saw the great force of the enemy he was afraid. He cried out to Elisha, "What shall we do?" Elisha told him: | 3 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
0.2328881025314331,
1.1810474395751953,
1.0544078350067139,
-0.40034955739974976,
0.01621737703680992,
-1.030300259590149,
0.42518141865730286,
0.058907344937324524,
-0.04395578056573868,
0.3044961392879486,
-0.6707422733306885,
-0.2756228446960449,
-0.5593112111091614,
-0.4990915656089782... |
Teacher: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 return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j... | 7692 | 6 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
-0.36301517486572266,
0.7908021211624146,
-0.4528445601463318,
-0.6365143060684204,
-0.006838591303676367,
-0.015319766476750374,
-0.05292235314846039,
0.3037862181663513,
-0.24090710282325745,
0.023083997890353203,
-0.3235982060432434,
0.6259562969207764,
0.6548817753791809,
-0.3840323984... |
Given the task definition and input, reply with output. In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in w... | c, k, Q, c, K, v, E, c, m, U, i, Y, e, u, 7065, 6791, 8779, 7235, 2317, 7289, 4045, 3301, 9, 1571, 7589, 3241, 4605, 1977, 4521 | 5 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.3517606258392334,
0.8599773645401001,
-0.3105328679084778,
-0.37548795342445374,
-0.043589986860752106,
-0.49868980050086975,
0.2988330125808716,
0.23002493381500244,
-0.19977185130119324,
0.39166969060897827,
-0.4407016634941101,
0.2369917631149292,
-0.09804630279541016,
0.075370162725... |
Classify given movie review into two categories: positive, or negative based on its content.
Let me give you an example: if you sometimes like to go to the movies to have fun , wasabi is a good place to start .
The answer to this example can be: positive
Here is why: The author in the review recommends starting with w... | positive | 8 | NIv2 | task888_reviews_classification | fs_opt | [
-0.1601458340883255,
0.5221270322799683,
0.33850663900375366,
0.30023056268692017,
0.012686772271990776,
0.5810866355895996,
0.6737858653068542,
0.5191565155982971,
0.6986813545227051,
-0.4093279242515564,
-0.28922829031944275,
-0.25211068987846375,
-0.6118193864822388,
0.6032037734985352,... |
instruction:
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question ... | They went to the video rental store.
| 9 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.8501403331756592,
0.30628523230552673,
-0.7951345443725586,
0.6513986587524414,
0.055206313729286194,
-0.10989537835121155,
1.0004504919052124,
1.089975118637085,
-0.20253711938858032,
0.25541460514068604,
0.2215125858783722,
-0.256568044424057,
-0.3132827877998352,
0.15948531031608582,
... |
Given the task definition, example input & output, solve the new input case.
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that hav... | Not Funny | 1 | NIv2 | task495_semeval_headline_classification | fs_opt | [
0.025974668562412262,
0.45951375365257263,
0.374330997467041,
0.04709327220916748,
0.0020975242368876934,
0.1155191957950592,
0.09303165972232819,
0.9531458616256714,
0.02250201627612114,
0.34053710103034973,
-0.43130946159362793,
-0.551098108291626,
-0.1989244669675827,
-0.336028397083282... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences a... | 1 | 1 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.20606957376003265,
0.443790078163147,
0.1040463075041771,
0.2919144630432129,
0.17968003451824188,
0.12845931947231293,
0.11632899940013885,
0.8114340305328369,
0.053109798580408096,
-0.13097183406352997,
-0.6052423715591431,
-0.19997380673885345,
-0.12879236042499542,
-0.21461372077465... |
instruction:
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
question:
In addition to the overcooked , ham-fisted direction , which has all the actors reaching for ... | POS
| 9 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-0.5572110414505005,
0.13992395997047424,
0.2614036500453949,
-0.034219346940517426,
0.14447486400604248,
-0.7989974617958069,
0.6322011947631836,
-0.12424376606941223,
0.2106437087059021,
0.256295382976532,
-0.508698582649231,
-1.2913942337036133,
0.36787113547325134,
-0.05286887660622597... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Problem:(Laughter) Developing the Skycar has been a real challenge.
Solution: | (ضحك) مَثّل تطوير "" Skycar "" تحديا حقيقيا. | 8 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
-0.7037695646286011,
0.48905110359191895,
0.2921193242073059,
-1.1489615440368652,
-0.13766895234584808,
1.2276113033294678,
0.6578179001808167,
0.641079306602478,
1.2177009582519531,
-0.10715892165899277,
-0.3669263422489166,
0.062297482043504715,
-0.3465903103351593,
0.04990498349070549,... |
Q: In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Provocaciones baratas, sí por favor.
A: | Spanish | 7 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
-0.30519822239875793,
1.1288213729858398,
1.1912147998809814,
-0.378940612077713,
-0.09566320478916168,
-0.4824235141277313,
0.49031010270118713,
0.48343899846076965,
0.5078080892562866,
-0.49485039710998535,
-0.3010667562484741,
-0.045516930520534515,
-0.09860709309577942,
-0.164033055305... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Sentence 1: Follow... | 1 | 1 | NIv2 | task198_mnli_domain_classification | zs_opt | [
-0.9796010255813599,
0.23410388827323914,
0.565353274345398,
-0.4387527406215668,
0.30036213994026184,
0.16422039270401,
0.2794284224510193,
0.8857762813568115,
-0.1195225641131401,
-0.1815144419670105,
-0.25820666551589966,
-0.14984124898910522,
-0.05736301839351654,
-0.5198884010314941,
... |
Q: This task is to translate the English language Input to Telugu Language Output
Have Questions?
A: | ప్రశ్నలు ఉన్నాయా? | 7 | NIv2 | task1616_cc_alligned_translate_eng_tel | zs_opt | [
0.3861996531486511,
1.029693603515625,
0.34659963846206665,
0.1506115198135376,
0.5656140446662903,
-0.7498151063919067,
-0.02683420106768608,
0.2175270915031433,
-0.3882148265838623,
-0.592270016670227,
0.3886174261569977,
0.0999840646982193,
-0.38216879963874817,
0.11443567276000977,
-... |
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
ACTION1: going directly to hr over an issue on the office and then quit, instead talking to... | no | 0 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
-0.429218053817749,
0.11832009255886078,
0.282159686088562,
0.24725697934627533,
-0.09170635044574738,
-0.7919092774391174,
-0.43429088592529297,
0.4707847535610199,
0.25770220160484314,
0.23301391303539276,
0.05194457620382309,
-0.768319845199585,
-0.5851829051971436,
-0.7518612146377563,... |
instruction:
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.
question:
Who abducted... | Connolly station
| 9 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.09670564532279968,
0.7676196694374084,
-0.8661057949066162,
-0.7186395525932312,
-0.6721498966217041,
-0.12189838290214539,
0.8841303586959839,
-0.30166059732437134,
0.35013872385025024,
0.09296553581953049,
-0.7485165596008301,
0.5816835165023804,
-0.13379651308059692,
-0.1086808741092... |
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
Q:... | Offensive | 4 | NIv2 | task1502_hatexplain_classification | zs_opt | [
-0.6112139821052551,
0.7384144067764282,
0.6722534894943237,
0.3571939468383789,
-0.40784570574760437,
-1.2943222522735596,
-0.2581337094306946,
0.9110634326934814,
0.570954442024231,
0.40374916791915894,
-0.12228648364543915,
-0.23631882667541504,
-0.24699774384498596,
-0.5929581522941589... |
Teacher:In this task, you are given books product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Teacher: Now, understand the problem? Solve this instance: La bonne volonté toute-p... | NEG | 6 | NIv2 | task482_cls_french_books_classification | zs_opt | [
0.24774564802646637,
-0.26851868629455566,
0.06665588915348053,
-0.6307603120803833,
0.4649508595466614,
-0.4735901355743408,
1.0236330032348633,
0.2978373169898987,
-0.24230162799358368,
0.012730208225548267,
-0.6212503910064697,
0.5652259588241577,
-0.5849407911300659,
0.0352477431297302... |
Q: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
What makes Esther Kahn so demanding is that it progresses in such a low-key manner that it risks monotony .
A: | NEG | 7 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-1.2079895734786987,
-0.29324352741241455,
0.5839993953704834,
-0.26534339785575867,
0.5265615582466125,
-0.3702011704444885,
0.7702374458312988,
0.5849205255508423,
-0.06253882497549057,
0.3980771005153656,
-0.46525758504867554,
-0.7898172736167908,
-0.4746972322463989,
-0.165644764900207... |
Teacher: Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid... | Is the YXXΦ motif within the severe acute respiratory syndrome coronavirus ( SARS-CoV ) 3a protein crucial for its intracellular transport? | 2 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.2908635139465332,
0.35264354944229126,
-0.26755085587501526,
-0.3480857014656067,
0.5053784251213074,
-0.31374773383140564,
0.1833566278219223,
0.6329542398452759,
-0.3754420280456543,
-0.08640655130147934,
-0.4230327308177948,
0.10603177547454834,
-0.8203976154327393,
0.4790320694446563... |
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: 7 MODERN WONDERS
Clue: The Itaipu, one of these 5 miles wide on the Brazil-Paraguay... | a dam | 0 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-0.10347388684749603,
0.4494934380054474,
0.19357553124427795,
-0.29040762782096863,
-0.20313768088817596,
0.2761710286140442,
-0.3234541416168213,
0.33792316913604736,
0.5078480243682861,
-0.47329646348953247,
0.05802350863814354,
-0.13780036568641663,
-1.0145437717437744,
0.4926946461200... |
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 an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in or... | 2, 4, 5, 10, 11, 14, 16, 18, 20, 21, 22, 23, 24, 25, 27, 29, 31, 32, 33, 35 | 0 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
0.15609848499298096,
0.12740352749824524,
-0.5239916443824768,
-0.4077543318271637,
0.3920583724975586,
-0.14292113482952118,
0.5006109476089478,
0.3284895420074463,
-0.6662111282348633,
0.23334509134292603,
-0.5609654784202576,
-0.30232372879981995,
0.10911550372838974,
0.2277456074953079... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classi... | (F) | 1 | NIv2 | task302_record_classification | zs_opt | [
0.4999328851699829,
0.05759973078966141,
-1.0423903465270996,
-0.16121268272399902,
0.14249466359615326,
-0.1881679892539978,
0.0599999763071537,
0.6878045797348022,
0.39241823554039,
1.1102771759033203,
-0.1799910068511963,
0.8664687275886536,
-0.1851254105567932,
0.14142297208309174,
0... |
Given the task definition and input, reply with output. You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
CONTEXT: Geografía
El cabo de Hornos es el pun... | en la costa de la isla de Hornos | 5 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
-0.005854459945112467,
0.4447580873966217,
-0.1330757886171341,
-0.7475687265396118,
-0.8438865542411804,
-0.3216838836669922,
-0.13501301407814026,
0.5135031938552856,
0.18951430916786194,
-0.6987307071685791,
-0.11400490999221802,
0.4085639417171478,
-0.4362184703350067,
0.22461958229541... |
A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Ex Input:
পুনর্গঠিত এই খেলো ইন্ডিয়া কর্মসূচি সার্বিক ক্রীড়া পরিকাঠামো, সর্বজনীন ক্রীড়া, মেধার অন্বেষণ, উত্কর্ষতার জন্য কোচিং ,প্রতিযোগিতা কাঠামো ও ক্রীড... | وہ ممبئی میں ری پبلک ٹی وی کی طرف سے منعقدہ ‘ری پبلک’ چوٹی میٹنگ سے خطاب کریں گے۔
| 1 | NIv2 | task1069_pib_translation_bengali_urdu | fs_opt | [
-0.7225610017776489,
0.3384370803833008,
-0.6952944993972778,
-0.19294142723083496,
-0.5748662352561951,
-0.16224682331085205,
0.579408586025238,
0.5742558240890503,
-0.14881056547164917,
-0.46029114723205566,
-0.661722719669342,
0.7129982709884644,
-0.4757401645183563,
-0.1202016174793243... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the sym... | 22172 | 0 | NIv2 | task087_new_operator_addsub_arithmetic | fs_opt | [
-0.024186480790376663,
0.8433419466018677,
-0.600714385509491,
-0.16230018436908722,
-0.511638879776001,
-0.148989737033844,
1.0518323183059692,
1.3768150806427002,
0.7687889337539673,
-0.016653189435601234,
-0.3786710500717163,
-0.6317261457443237,
0.08550134301185608,
0.39585429430007935... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Media łączyły się z nami.
Solution: Os "" media "" interligavam-se connosco.
Why? The Polish sentence... | nós temos uma situação onde companhias privadas estão a aplicar padrões de censura que são muitas vezes bastante arbitrários e geralmente mais estreitos que os padrões constitucionais para a liberdade de expressão que temos nas democracias. | 0 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
0.09940755367279053,
1.0674188137054443,
0.15531836450099945,
-0.6144834756851196,
-0.20514366030693054,
0.32486701011657715,
0.6574934720993042,
0.17461435496807098,
0.5074386596679688,
-0.035564348101615906,
-0.5520777702331543,
-0.003937742207199335,
-0.6258642673492432,
-0.248412638902... |
Teacher:In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Teacher... | leading | 6 | NIv2 | task390_torque_text_span_selection | zs_opt | [
0.05307772755622864,
0.47954291105270386,
-0.2437622845172882,
-0.0193317998200655,
0.03216113895177841,
0.17223146557807922,
0.6400130987167358,
0.7307789921760559,
-0.14238528907299042,
0.3438953161239624,
-0.5508683323860168,
0.23996782302856445,
-0.6887345314025879,
0.08132877200841904... |
Teacher: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides addition... | weakener | 2 | NIv2 | task935_defeasible_nli_atomic_classification | fs_opt | [
0.4965342879295349,
-0.2625894844532013,
-0.8228836059570312,
0.10546625405550003,
0.05628460645675659,
-0.9976015686988831,
0.7595959901809692,
1.1394033432006836,
0.391340047121048,
-0.5690340995788574,
-0.808017373085022,
0.00048564234748482704,
-0.8994637727737427,
-0.22797289490699768... |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are... | no | 9 | NIv2 | task211_logic2text_classification | zs_opt | [
-0.21467705070972443,
-0.07152186334133148,
-0.1505480706691742,
0.34196436405181885,
0.6326320767402649,
-0.65049147605896,
0.009978065267205238,
0.5242266654968262,
-0.054706595838069916,
-0.3349177837371826,
-0.4195230305194855,
0.39654600620269775,
0.1768392026424408,
0.349599510431289... |
Given the task definition and input, reply with output. Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Mary Arden had a famous son. Who was he?
| william shakespeare | 5 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
0.35282260179519653,
0.787105917930603,
-0.2575259506702423,
-0.32123398780822754,
-0.8794573545455933,
0.16348585486412048,
0.9210179448127747,
0.06988294422626495,
0.9574726223945618,
-0.6246039867401123,
-0.7040378451347351,
0.4388711452484131,
-0.5628753900527954,
-0.12396959215402603,... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby p... | luggage
| 6 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
0.4309139549732208,
0.021399907767772675,
-0.6792855262756348,
0.14494574069976807,
0.14958301186561584,
0.2523617148399353,
0.2970621883869171,
0.597514271736145,
-0.42302626371383667,
0.14265379309654236,
0.04978368431329727,
0.5866643786430359,
-0.161739781498909,
-0.42211467027664185,
... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
English sentence: In this case God shows Jesus to be the sinless Son of God, who can resist the temptation of the devil. | Na nke a Chineke na-egosi Jizọs ka ọ bụrụ na-enweghị mmehie Ọkpara Chineke, onye nwere ike imeri ọnwụnwa nke ekwensu. | 0 | NIv2 | task452_opus_paracrawl_en_ig_translation | zs_opt | [
-0.16305077075958252,
0.4533836543560028,
0.5728580951690674,
0.1395222544670105,
-0.9092526435852051,
-0.9661661386489868,
0.6854254007339478,
0.9467854499816895,
0.5441962480545044,
0.5360615253448486,
0.06631685793399811,
0.9839296340942383,
-0.2391718029975891,
-0.337415874004364,
0.... |
Given a premise and two alternatives, choose the alternative that is a more plausible cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Q: The student rushed to finish the book.
(1)It ... | 1 | 4 | NIv2 | task827_copa_commonsense_reasoning | zs_opt | [
-0.35812604427337646,
1.1945571899414062,
0.13654547929763794,
-0.11590896546840668,
-0.43229034543037415,
0.30660945177078247,
0.6304318904876709,
0.20416709780693054,
0.5342219471931458,
-0.01636439748108387,
-0.39038538932800293,
-0.1755150556564331,
-0.7446167469024658,
0.1459419280290... |
Detailed Instructions: In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise. Please answer with "Contradiction", "Neutral", or "Entailment".
See one example below:... | Contradiction | 4 | NIv2 | task1388_cb_entailment | fs_opt | [
0.04471450299024582,
0.6175646185874939,
-0.31101012229919434,
-0.050854362547397614,
-0.34121251106262207,
-1.100931167602539,
0.6391111612319946,
0.454287588596344,
0.8223949670791626,
-0.37794676423072815,
-0.7799367904663086,
0.011203132569789886,
-0.8316488265991211,
-0.44880938529968... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a statement written in Gujarati. 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 o... | ભારત | 0 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | fs_opt | [
0.2130383998155594,
0.9227067232131958,
-0.01039348915219307,
-0.32598352432250977,
-0.40153491497039795,
0.09282290935516357,
0.50762939453125,
0.986621618270874,
-0.2605290412902832,
-0.02770812064409256,
-0.438710480928421,
0.22756701707839966,
-0.3992217183113098,
-0.17264693975448608,... |
Q: Given a text passage as input comprising of dialogue of negotiations between a seller and a buyer about the sale of an item, your task is to classify the item being sold into exactly one of these categories: 'housing', 'furniture', 'bike', 'phone', 'car', 'electronics'. The output should be the name of the category ... | phone | 7 | NIv2 | task767_craigslist_bargains_classification | zs_opt | [
-0.21984991431236267,
-0.024160372093319893,
-0.639438271522522,
0.3317745327949524,
0.3705296516418457,
0.4598013758659363,
0.07038182765245438,
0.5629361867904663,
-0.04910269007086754,
0.22174569964408875,
0.028683684766292572,
0.4994189739227295,
-0.0028566389810293913,
0.1128681823611... |
You will be given a definition of a task first, then some input of the task.
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a fr... | #1 return appelations
#2 return wines #1 produces
#3 return #2 before 2010
#4 return number of #3 for each #1
#5 return #1 where #4 is highest
#6 return area of #5 | 1 | NIv2 | task176_break_decompose_questions | zs_opt | [
0.7097351551055908,
-0.13347065448760986,
-0.8109591007232666,
0.8571604490280151,
0.21378940343856812,
-0.034986842423677444,
0.7306731343269348,
0.5781773924827576,
-0.32524368166923523,
0.3683464527130127,
-0.26277095079421997,
-0.043680910021066666,
0.32507163286209106,
0.5941336154937... |
Teacher:In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Teacher: Now, understand the proble... | House of Representatives | 6 | NIv2 | task339_record_answer_generation | zs_opt | [
0.16884779930114746,
0.21758286654949188,
-0.4412805736064911,
-0.13209401071071625,
-0.12933585047721863,
-0.9109051823616028,
0.2999553084373474,
1.1745762825012207,
-0.12263570725917816,
0.37702029943466187,
-0.0881415531039238,
0.20285385847091675,
-0.3144012689590454,
-0.3022150695323... |
You will be given a definition of a task first, then some input of the task.
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent ... | No | 1 | NIv2 | task358_casino_classification_negotiation_uv_part | zs_opt | [
0.043885134160518646,
0.5843120813369751,
-0.80824875831604,
-0.4613999128341675,
-0.7009270191192627,
-1.0165183544158936,
1.3439533710479736,
0.3016734719276428,
0.018104134127497673,
-0.0016721421852707863,
0.35048872232437134,
0.07305455952882767,
-0.9872872829437256,
0.405719041824340... |
Teacher:You are given a math word problem and you are supposed to only use subtraction on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Teacher: Now, understand the problem? Solve this instance: Context: He then went to see the oranges being harvested... | 19 | 6 | NIv2 | task751_svamp_subtraction_question_answering | zs_opt | [
0.06508132815361023,
0.8044283390045166,
0.09807010740041733,
-0.304249107837677,
-0.4285723865032196,
-0.6976000666618347,
0.20681974291801453,
0.6400828957557678,
-0.5835833549499512,
0.06137212738394737,
-0.654299259185791,
-0.5103887319564819,
-0.37143003940582275,
-0.18820276856422424... |
Q: Given a premise and two alternatives in Marathi, choose the alternative that is a more plausible cause or effect of the situation described by the premise. The premise is the 'विधान' field and the alternatives are the 'पर्याय A' and 'पर्याय B' fields The output should either be "पर्याय A" or "पर्याय B" based on your... | पर्याय B | 7 | NIv2 | task942_copa_mr_commonsense_reasoning | zs_opt | [
-0.8881763219833374,
0.33391302824020386,
-0.057111822068691254,
0.2509608864784241,
-0.7747463583946228,
-0.6876267194747925,
0.9989631772041321,
0.8011122941970825,
0.3898821473121643,
-0.0017484909621998668,
-1.2859020233154297,
0.2164781391620636,
0.022348888218402863,
0.70380723476409... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
One example: Then, the camel stops and the woman gets down from the camel.
Solution is here: A woman rides a camel holding a rode with her right hand while a man pulls the camel.
Exp... | The female removes the clamp. | 6 | NIv2 | task455_swag_context_generation | fs_opt | [
0.3579674959182739,
1.028862714767456,
-0.7318874597549438,
-0.00744857732206583,
-0.5608636736869812,
-0.6819093227386475,
-0.052122198045253754,
1.461927890777588,
0.16881756484508514,
-0.01219565887004137,
-0.97049480676651,
0.35056355595588684,
-0.48003560304641724,
-0.1193973273038864... |
Detailed 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 coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset o... | PRT | 8 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.27551504969596863,
0.22340929508209229,
-0.3371883034706116,
0.30200526118278503,
-0.15283843874931335,
-0.6717092990875244,
0.6703059673309326,
0.8079909682273865,
-0.353351354598999,
-0.08756747096776962,
-0.7558560371398926,
0.23819133639335632,
-0.5897451043128967,
0.2760607600212097... |
instruction:
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
... | Identifiable
| 9 | NIv2 | task351_winomt_classification_gender_identifiability_anti | fs_opt | [
-0.7090080976486206,
0.3377322256565094,
-0.3989441394805908,
-0.052126966416835785,
0.1478380560874939,
-0.2443937063217163,
-0.6178339719772339,
0.8711394667625427,
0.6703276038169861,
0.45238786935806274,
-0.9533978700637817,
-0.3217617869377136,
0.04521675035357475,
-0.3289841711521148... |
Teacher:You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of per... | Organization. | 6 | NIv2 | task046_miscellaneous_question_typing | zs_opt | [
0.5237996578216553,
0.016667695716023445,
-0.17719683051109314,
0.5137603282928467,
-0.12751133739948273,
-0.9971264600753784,
0.783064067363739,
0.9549319744110107,
-0.5528647303581238,
-0.1295435130596161,
-0.36626577377319336,
0.16804488003253937,
-0.32913023233413696,
-0.25598901510238... |
Q: 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 numbers 0 (entailment), 1 (neutral), or 2(c... | 0 | 7 | NIv2 | task1612_sick_label_classification | zs_opt | [
-0.629397988319397,
0.5669660568237305,
-0.18645641207695007,
-0.40551480650901794,
0.2708551585674286,
-1.1115505695343018,
0.7462455034255981,
0.44609421491622925,
0.8024612069129944,
0.16933873295783997,
-0.6109629273414612,
-0.1081426590681076,
-0.3375700116157532,
-0.6967238187789917,... |
Detailed Instructions: 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 to... | Among the energy sources referred to as biofuels is garbage. | 9 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
-0.3407297134399414,
0.39365363121032715,
-0.33838915824890137,
-0.45974382758140564,
-0.7627935409545898,
-1.5390193462371826,
0.43586310744285583,
0.8750553727149963,
-0.5053958892822266,
0.7699682712554932,
-1.178530216217041,
0.6852424740791321,
-0.17303723096847534,
0.0537045150995254... |
In this task, you are given books product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Let me give you an example: 少年心 . 重松さんの作品の中でも、一番共感できる作品。 周りの人達に心を閉ざし、気が付いたら周りと距離を置くようになっ... | NEG | 8 | NIv2 | task485_cls_japanese_books_classification | fs_opt | [
0.12116438150405884,
-0.555506706237793,
-0.054847557097673416,
-0.7732282280921936,
1.2356853485107422,
-0.2618102729320526,
1.5401275157928467,
0.15208353102207184,
0.4494502544403076,
0.11936812847852707,
-0.8830051422119141,
0.1997843235731125,
-0.8911076784133911,
0.20535847544670105,... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
אז עולם זה כולו, עולם הנאנו, שטח זה כאן נקרא עולם הנאנו, ועולם הנאנו, כל עולם המיקרו שאנו רואים, ישנו עולם נאנו שעטוף בזה, כולו — וזהו עולם המולקולות והאטומים.
A: | このサイズの世界をナノの世界と言いますが私たちが目にするミクロの世界には内側にナノの世界が内包されていますナノの世界は分子と原子の世界です | 7 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
0.44866877794265747,
0.6424920558929443,
0.39811813831329346,
0.19089648127555847,
-0.5109570622444153,
-0.5627982020378113,
-0.003198137041181326,
0.24400244653224945,
0.4868616759777069,
-0.4217604100704193,
-0.9202225208282471,
0.1326749175786972,
-1.1394166946411133,
0.0853706151247024... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answ... | Bigger atoms have more electrons. | 1 | NIv2 | task223_quartz_explanation_generation | zs_opt | [
0.2046523094177246,
0.5642831921577454,
-0.1700529158115387,
-0.3468526005744934,
-0.2880602478981018,
-0.40532490611076355,
0.283596932888031,
0.5154556632041931,
0.2157745659351349,
-0.380630761384964,
-0.34346598386764526,
0.15695348381996155,
-0.23847660422325134,
-0.20467260479927063,... |
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: Consider Input: మిగతా వర్గసంకేతాలకు చెందిన నాణేలు గుండ్రని ఆకారం లో ఉంటాయి.
Output: மற்ற நாணயங்கள் வட்ட வடிவம் கொண்டவையாக இருக்கும்.
Input: Consid... | Output: எனவே இதில் இடம் பெற்றுள்ள மொத்த இயக்குநர்களின் எண்ணிக்கை 11 ஆகும்.
| 2 | NIv2 | task1076_pib_translation_telugu_tamil | fs_opt | [
-0.5426747798919678,
0.4206904172897339,
-0.3721497058868408,
0.537703275680542,
-0.2135450392961502,
-0.7934809923171997,
0.1508130431175232,
0.8967723250389099,
-0.04823465272784233,
0.10133923590183258,
-0.42511558532714844,
-0.020138852298259735,
-0.8669765591621399,
-0.308428645133972... |
In this task, you need to count the number of words in a sentence that contain the given letter
Sentence: 'two men who are laying on the ground'. How many words contain the letter 'o' in the sentence. | 4 | 0 | NIv2 | task161_count_words_containing_letter | zs_opt | [
-0.6366748809814453,
1.422080397605896,
-1.181676983833313,
-0.7894654870033264,
-0.44905203580856323,
0.1767270863056183,
0.4343109130859375,
0.26826947927474976,
0.48309019207954407,
-0.765811026096344,
-0.768008291721344,
-0.6449158787727356,
0.02095179259777069,
-0.5691108703613281,
... |
In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it ... | Output: very positive
| 2 | NIv2 | task527_parsinlu_food_overal_classification | fs_opt | [
-0.982664942741394,
0.09150952100753784,
-0.016363902017474174,
-0.040817417204380035,
-0.1241873949766159,
0.3831339478492737,
1.3036296367645264,
0.4697859287261963,
0.41262492537498474,
0.08156955242156982,
-0.5069020390510559,
0.12794974446296692,
-0.4126421809196472,
0.186037525534629... |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
[EX Q]: 不好用，第一次就坏了，... | bad
| 6 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt | [
-0.11429397761821747,
-0.012646906077861786,
0.1312975436449051,
-0.26820218563079834,
0.31686943769454956,
-0.3188948631286621,
0.22193682193756104,
0.750626266002655,
-0.30701616406440735,
-0.12051644176244736,
-0.4291871190071106,
0.6383154988288879,
-0.018678098917007446,
-0.0901990234... |
Given the task definition and input, reply with output. In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
What I would have liked t... | English | 5 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
-0.4776378870010376,
0.8166310787200928,
0.7083210349082947,
-0.1157599538564682,
0.07831771671772003,
-0.7023138999938965,
-0.02151806838810444,
0.8944694995880127,
0.16674233973026276,
-0.4235880374908447,
0.026166189461946487,
0.22874172031879425,
-0.20507590472698212,
-0.54598432779312... |
Definition: Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Input: entity: worsted
before: in one location
after: back around post
attr: location
Output: | location of worsted was in one location before and back around post afterwards | 2 | NIv2 | task1631_openpi_answer_generation | zs_opt | [
-0.07683607935905457,
0.22784949839115143,
-0.07171636819839478,
-0.09353714436292648,
-0.29122990369796753,
-1.2894796133041382,
-0.2948840260505676,
0.5279373526573181,
0.43656525015830994,
-0.026723209768533707,
-0.4177239239215851,
-0.10887299478054047,
-0.5931633114814758,
-0.09223759... |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: कारण एक नव्हता ना
Solution: क्योंकि कोई नहीं था
Explanation: Correct translation for given sentence. I... | इसके लिए उन्हें वृद्धावस्था में भी भारी कीमत चुकानी पड़ी। | 4 | NIv2 | task1082_pib_translation_marathi_hindi | fs_opt | [
0.07735119014978409,
-0.0655011385679245,
-0.31971031427383423,
-0.0006631743162870407,
-0.42907097935676575,
-0.4413936138153076,
0.8768274784088135,
0.3800203800201416,
-0.1475362926721573,
-0.4244440793991089,
-0.623268187046051,
-0.1549772471189499,
-0.5470110177993774,
0.4664175212383... |
Given the task definition and input, reply with output. The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
... | proud himself because he didn't lend anything from others | 5 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
-0.3869255483150482,
0.7146536111831665,
0.12358842045068741,
-0.22092315554618835,
-0.42248284816741943,
-0.3723112642765045,
1.0597691535949707,
0.5714049339294434,
0.2751803994178772,
-0.5922814607620239,
-0.36039406061172485,
0.19930750131607056,
-0.48249244689941406,
0.486335277557373... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receive... | ham | 1 | NIv2 | task109_smsspamcollection_spamsmsdetection | fs_opt | [
-0.5575999021530151,
0.08431290090084076,
0.3198121190071106,
-0.5298870801925659,
0.6050476431846619,
-0.5230080485343933,
0.2909584939479828,
0.09324878454208374,
-0.3969094157218933,
0.6255031228065491,
-0.35738474130630493,
0.6460223197937012,
-0.07197169959545135,
-0.4506683945655823,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC... | The boxes will be made on a build-to-order basis . | 1 | NIv2 | task610_conllpp_ner | zs_opt | [
-0.670301616191864,
0.500347375869751,
0.1317090541124344,
0.13688933849334717,
0.10825726389884949,
0.3280193507671356,
0.7818594574928284,
0.09197432547807693,
-0.18795622885227203,
-0.3420301377773285,
-0.48294466733932495,
-0.3866675794124603,
-0.2119823545217514,
0.20955482125282288,
... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Chinese, generate a new Chinese 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 ... | 如果你想享受吉他 那你应该租个练习 | 1 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.6269257664680481,
0.42119401693344116,
-0.3830551207065582,
-0.08975602686405182,
0.2052120864391327,
0.4824615716934204,
0.0093690175563097,
1.008344292640686,
0.05907487869262695,
-0.09120885282754898,
-0.07490802556276321,
-0.35697421431541443,
-0.15875862538814545,
0.320659816265106... |
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Example input: Sent... | Yes | 3 | NIv2 | task114_is_the_given_word_longest | fs_opt | [
-0.02550138160586357,
0.7694053649902344,
-0.06489814817905426,
-0.22480696439743042,
-0.021013792604207993,
-0.45834603905677795,
0.4495024085044861,
0.36479175090789795,
0.4458359181880951,
-0.4482118487358093,
-0.6132261753082275,
0.3076106905937195,
-0.20544271171092987,
-0.28096479177... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
One example is below.
Q: The sound seems really good but sometimes it cuts in and out which ... | Bad review | 9 | NIv2 | task929_products_reviews_classification | fs_opt | [
-0.28730490803718567,
0.10006263852119446,
-0.4237077236175537,
0.13726046681404114,
0.1519700288772583,
-0.8150709867477417,
0.8953036069869995,
0.6458156108856201,
-0.2712378203868866,
0.42477089166641235,
0.0701775997877121,
0.7140305042266846,
-0.3234085440635681,
-0.012230293825268745... |
Teacher:In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent.
Teacher: Now, understand the problem? Solve this instance:... | A | 6 | NIv2 | task296_storycloze_correct_end_classification | zs_opt | [
-0.5529829263687134,
0.6859995126724243,
0.6410541534423828,
-0.9441139101982117,
0.25315147638320923,
-1.0738945007324219,
0.29231584072113037,
0.829968273639679,
-0.08818644285202026,
0.23729728162288666,
-0.0600164458155632,
-0.21684440970420837,
0.07033918797969818,
-0.2508617341518402... |
You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
[Q]: Statement: ਅਮਾਂਡਾ ਗੋਰਮਨ (ਜਨਮ 1998) ਇੱਕ ਅਮਰੀਕੀ ਕਵੀ ਅਤੇ ਲਾਸ ਏਂਜਲਸ, <MASK> ਤੋਂ ਕਾਰਕੁੰਨ ਹੈ। ਗੋਰਮਨ ਦਾ ਕੰਮ ਜ਼ੁਲਮ, ... | ਮੁੰਬਈ
| 5 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.38753044605255127,
0.5781289339065552,
0.66617751121521,
-0.7316877245903015,
-0.21865758299827576,
-0.8007813096046448,
0.22851431369781494,
0.162607342004776,
0.2631687521934509,
-0.2412671148777008,
-0.2937855124473572,
0.13062319159507751,
-0.6243545413017273,
-0.22699449956417084,
... |
Detailed Instructions: Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sent... | The next day, he noticed his wallet was gone. He felt terrible and tried looking for it. Jimmy called up a cab driver the next day to drive him to buy a new wallet. | 4 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.5882977247238159,
0.2587483823299408,
0.0389326773583889,
0.22933995723724365,
0.27866125106811523,
-0.6591578722000122,
-0.05323968082666397,
1.1893787384033203,
0.20550289750099182,
0.12579068541526794,
-0.4703359603881836,
-0.2382110208272934,
-0.004882446024566889,
0.0601327419281005... |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Example: Italy have defeated Portugal 31-5 in Pool C of the 2007 Rugby Wor... | Solution: ニューヨークのクリントン･グローバル･イニシアティブでトニー・ブレア英国首相がＵＮＦＣＣの京都議定書と地球温暖化について「歯に衣着せない率直さ」でスピーチしました。 | 5 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.34660449624061584,
1.0954856872558594,
-0.05152656137943268,
-0.008931830525398254,
-0.0417918786406517,
-0.4633398652076721,
0.44558224081993103,
0.16462157666683197,
0.1946651041507721,
-0.5499504804611206,
-0.4350197911262512,
0.6520040035247803,
-0.7430920004844666,
0.49405246973037... |
This task is about translating a given Yoruba language sentence to English.
Example: Lóde òní gbajúbajà ni àwọn àṣẹ CC lórí ayélujára tí àwọn oníṣẹ́-ọpọlọ jákèjádò ilé-ayé sì ń lò wọ́n fún èyí-ò-jọ̀yìí nǹkan tí o kò lérò.
Example solution: Today CC licenses are prevalent across the web and are used by creators around t... | Solution: As part of the efforts to address the housing needs of the Bethelites relocating to Bologna, a seven-story apartment building with three levels of underground parking is currently being constructed about one and a half kilometers (1 mi) from the office building. | 5 | NIv2 | task1686_menyo20k_translation | fs_opt | [
0.02369675599038601,
0.610295295715332,
-0.11263450235128403,
0.13117188215255737,
0.39173364639282227,
-0.9361234903335571,
-0.1866217404603958,
0.7612288594245911,
-0.0696064680814743,
-0.7314485907554626,
0.058049485087394714,
0.6291793584823608,
-0.7548466920852661,
-0.0813545882701873... |
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"
Q: اِلچین سانگو (به ترکی استانبولی: sonia elçin sangu) اوت ۱۹۸۵، ازمیر) هنرپیشه ... | False
****
| 4 | NIv2 | task396_persianqa_classification | fs_opt | [
0.8190525770187378,
0.7004280686378479,
-0.18005341291427612,
-0.4928444027900696,
0.3178952932357788,
-0.12972697615623474,
0.7962095737457275,
0.7934576272964478,
-0.06717247515916824,
0.36524656414985657,
-0.002794343512505293,
0.9207428097724915,
-0.6456845998764038,
0.0212123710662126... |
Teacher:In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: Even if this had materialised , the domestic supply would have been short of demand in 1960-61 ... | यदि यह लग भी जाती , इससे सन् 1960-61 की अनुमानित मांग के आधे से भी कम की पूर्ति हो पाती । | 6 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
0.34972676634788513,
0.3079495429992676,
0.44746270775794983,
-0.4171334207057953,
-0.06996313482522964,
-0.6921772360801697,
-0.16474539041519165,
0.4565455913543701,
-0.8415654897689819,
-0.6466717720031738,
-0.2243356704711914,
-0.13074764609336853,
-0.8535051941871643,
-0.5329126119613... |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Input: Musimy nauczyć się robić więcej, mając mniej.
Output: | O que precisamos de fazer é aprender a fazer mais com menos. | 3 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.529734194278717,
0.8542419672012329,
0.04425448924303055,
-0.49381572008132935,
-0.13503581285476685,
-0.23250322043895721,
-0.44233977794647217,
0.13052764534950256,
0.48699551820755005,
0.17309415340423584,
-1.0195894241333008,
-0.4033386707305908,
-0.5100655555725098,
0.1498340368270... |
You will be given a definition of a task first, then some input of the task.
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try t... | carnivorous plankton. | 1 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.7184690833091736,
0.9305874109268188,
-0.06745699793100357,
0.10222338885068893,
-0.06312435865402222,
-1.4969630241394043,
0.5305303335189819,
0.6909793019294739,
-0.3390118181705475,
-0.01753459870815277,
-0.8895944356918335,
-0.40546154975891113,
-0.5936928987503052,
0.422005146741867... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Example Input: (Risas) Esto no es muy útil sobre todo cuando se termina el dinero.
Example Output: (צחוק) לא כשרון שימושי מאוד, במיוחד לא כשנגמר לך הכסף.
Example Input: Hoy les hablaré de algunas personas que no salieron d... | אנשים עניים הם משאב.
| 3 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.5905289649963379,
1.5017547607421875,
0.06200925260782242,
-0.38004279136657715,
-0.6578376293182373,
0.17139190435409546,
1.4598593711853027,
0.2569487690925598,
0.5295490622520447,
-0.5387350916862488,
-0.9340640306472778,
0.6233759522438049,
-0.4308334290981293,
-0.07963744550943375,... |
In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Ex Input:
[73, 9.241, 60, 24.68... | [-29, -97]
| 1 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.47761133313179016,
0.028874551877379417,
-0.4771467447280884,
-0.2807771563529968,
-0.15671341121196747,
-0.14445100724697113,
0.7755982279777527,
0.23602554202079773,
0.08638915419578552,
0.17069795727729797,
-0.49185189604759216,
0.4346403181552887,
-0.23127245903015137,
-0.1746316850... |
Detailed Instructions: You are given a sentence, a question and two answer options. Your task is to write down the index ('A' or 'B') of the **incorrect** option for the given question.
Problem:Sentence: Bob has two almost identical toy wagons that his dad built for him, one red one and one blue one. He's piled a bunch... | A | 8 | NIv2 | task1381_quarel_incorrect_option_generation | zs_opt | [
-0.44080638885498047,
0.18085399270057678,
0.06333713233470917,
0.34794145822525024,
-0.18840771913528442,
-0.37822359800338745,
0.7177786827087402,
1.309893012046814,
0.4370401203632355,
-0.16288785636425018,
-0.8043926358222961,
0.06121865659952164,
0.9596654176712036,
-0.228814095258712... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.