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 |
|---|---|---|---|---|---|---|
A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence.
[EX Q]: ভারত ও ব্রাজিলের মধ্যে বিনিয়োগ সহযোগিতা ও সুবিধার চুক্তির অনুমোদন মন্ত্রিসভায়
[EX A]: मंत्रिमंडल ने भारत और ब्राजील के बीच निवेश सहयोग और सुविधा... | मुझे विश्वास है कि आपकी सक्रिय साझेदारी से यह सम्मलेन सफ़ल होगा।
| 6 | NIv2 | task1009_pib_translation_bengali_hindi | fs_opt | [
-0.5488167405128479,
0.21067072451114655,
-0.2419874668121338,
-0.17120033502578735,
-0.01557741779834032,
-0.8368841409683228,
1.0276591777801514,
-0.31405186653137207,
0.06337375193834305,
-0.34176528453826904,
-0.72626793384552,
-0.0028045806102454662,
-0.0225698109716177,
0.37946403026... |
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: FRUITS & NUTS
Clue: These a... | almonds | 5 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.8226828575134277,
0.9083594083786011,
0.3776088058948517,
-0.21677017211914062,
-0.2728610634803772,
0.3692421019077301,
0.24470438063144684,
-0.03339562192559242,
0.08040013164281845,
-0.029035482555627823,
-0.24893958866596222,
-0.15562298893928528,
-0.5655466318130493,
0.243624508380... |
Teacher:In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". ... | Tom's heater is broken >Causes/Enables> Tom tried to think of a way to get warm | 6 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
-0.07159481942653656,
0.5446956157684326,
0.17455816268920898,
-0.16553978621959686,
0.31305837631225586,
-1.0543440580368042,
0.10494205355644226,
1.0742286443710327,
0.024060387164354324,
-0.036638855934143066,
-0.3423272371292114,
0.28508704900741577,
-0.8457147479057312,
-0.69787776470... |
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
One example: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Filipino: Ang mga detalye ay ibin... | Yes | 6 | NIv2 | task1120_alt_ja_fil_answer_generation | fs_opt | [
-0.4110029935836792,
-0.35011380910873413,
-0.09997856616973877,
0.1530078500509262,
0.1608913689851761,
-0.2717215120792389,
0.825354814529419,
0.4608405828475952,
-0.26294296979904175,
-0.3777436316013336,
-0.18389256298542023,
0.9222919940948486,
-0.3062664866447449,
0.9634477496147156,... |
Q: Convert a disfluent question to a proper question. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
What type or like which Fresno district is the center for the LGBT community?
A: | Which Fresno district is the center for the LGBT community? | 7 | NIv2 | task1622_disfl_qa_text_modication | zs_opt | [
0.5168187618255615,
0.2125285565853119,
0.17942002415657043,
0.08033837378025055,
-0.29418128728866577,
-0.37542247772216797,
-0.016250353306531906,
-0.3507682681083679,
0.02981576882302761,
0.08002515137195587,
-1.1000969409942627,
0.049256861209869385,
-1.1513580083847046,
0.155089020729... |
instruction:
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
question:
彼はさらに彼の妻が、彼に何が起きているか分からないままにしておくために彼の薬を「操作した」と断言している。
answer:
គាត់បន្ដចោទប្រពន្ធរបស់គាត់ "បានរៀបចំ" ថ្នាំព្យាបាលដែលធ្វើអោយគ... | គាត់មិនត្រឹមតែជាអ្នកស្រាវជ្រាវមួយរូបប៉ុណ្ណោះទេ គាត់ទទួលបានជោគជ័យយ៉ាងខ្លាំងជាមួយនឹងសៀវភៅដ៏ពេញនិយម គឺតន្ត្រីនៃចំនួនបឋម។
| 9 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.29122501611709595,
0.15176069736480713,
-0.2863219380378723,
-0.3916035294532776,
0.14190569519996643,
-0.14561697840690613,
0.6702167987823486,
0.5811970233917236,
-0.08297230303287506,
-0.0744083970785141,
-1.0256224870681763,
0.41547003388404846,
-1.4050034284591675,
0.19799146056175... |
Given a sentence in Korean, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Q: CBS에서 제작하거나 CBS 영화에서 배포 한 1976 년 이전 시리즈는 나중에 Viacom과 Paramount Television에서 배포했습니다.
A: | La mayoría de las series producidas por CBS antes de 1976 o distribuidas por películas de CBS fueron distribuidas posteriormente por Viacom y Paramount Television. | 4 | NIv2 | task785_pawsx_korean_spanish_translation | zs_opt | [
-0.13745447993278503,
0.70784991979599,
-0.5003435611724854,
-0.21393954753875732,
-0.08429782837629318,
0.13584977388381958,
1.1614055633544922,
0.8838097453117371,
-0.2865307331085205,
-0.886865496635437,
0.3811159133911133,
0.47071531414985657,
-0.3872118592262268,
0.3616909384727478,
... |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Personality: I used to w... | I love all animals that's why I decided to be vegetarian.
| 0 | NIv2 | task1729_personachat_generate_next | fs_opt | [
-0.4615240693092346,
0.3632389307022095,
-0.8871150612831116,
0.34482383728027344,
-0.40629899501800537,
0.30812445282936096,
0.22946029901504517,
0.18429529666900635,
-0.012999149039387703,
-0.3972579538822174,
-0.4392598867416382,
-0.04471854865550995,
-0.6217559576034546,
-0.20065981149... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Personality: I cannot get enough ginger snaps.
I drive a prius.
I like hiking up volcanoes.
... | With ginger snaps. Yas, it turns me on so. Ca not get enough. Ugh. | 0 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.15841805934906006,
-0.23292213678359985,
-0.6819946765899658,
0.04924321174621582,
-0.4573361873626709,
-0.6144211292266846,
1.1114909648895264,
0.3812641203403473,
-0.20617179572582245,
-0.13588494062423706,
-0.08997343480587006,
0.1760280728340149,
-0.05555589869618416,
-0.14522905647... |
Teacher:You are given a sentence in English. Your job is to translate the English sentence into Persian.
Teacher: Now, understand the problem? Solve this instance: The best minds in the best institutions generally get it wrong.
Student: | مغزهای متفکر در بهترین موسسات ، عموما "" اشتباه می کنند. مغزهای متفکر در بهترین موسسات ، عموما "" اشتباه می کنند. | 6 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-0.3786054849624634,
0.2795511484146118,
0.3944263160228729,
-0.17437787353992462,
-0.5259681940078735,
-0.8041608333587646,
-0.11138533055782318,
0.05300557613372803,
0.1955575942993164,
-0.040484946221113205,
-0.1392747461795807,
-0.40852224826812744,
-0.6267309188842773,
-0.153037384152... |
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 question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: C... | IN | 1 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.11174915730953217,
0.7065926194190979,
-0.7623956799507141,
0.8781549334526062,
-0.23344793915748596,
-0.1276334971189499,
0.6537625789642334,
0.3941870927810669,
0.09276044368743896,
-0.21585991978645325,
-0.5899766683578491,
0.8648096919059753,
-0.3962733745574951,
0.04143889993429184,... |
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an u... | Jerry.
| 0 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.7480543851852417,
0.2119198888540268,
-0.42194682359695435,
0.2202959805727005,
0.20072251558303833,
-0.8538943529129028,
0.5422408580780029,
0.7951539158821106,
-0.08949610590934753,
-0.2752079963684082,
-0.7917205095291138,
0.17254036664962769,
-0.5005725622177124,
0.2957971692085266,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which se... | first | 1 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
-0.33293581008911133,
0.8125354051589966,
-0.2117300033569336,
-0.18491488695144653,
-0.2511392831802368,
-0.1758304089307785,
0.13363200426101685,
0.39495986700057983,
0.1901988685131073,
0.1615038812160492,
-0.4802183508872986,
-0.7267249822616577,
-0.6055450439453125,
-0.313515096902847... |
Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Input: Person1: Is your lady beautiful ? Since I came here from the country , I've not seen her close . T... | 1 | 3 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
0.3088283836841583,
1.2035846710205078,
-0.281086802482605,
-0.15906155109405518,
0.031651467084884644,
-0.39629846811294556,
0.4823824167251587,
0.30553653836250305,
-0.15215888619422913,
0.17228111624717712,
-0.6965084671974182,
-0.33047235012054443,
-0.6275142431259155,
-0.3281068205833... |
This task is about translating a given English language sentence to Yoruba language.
--------
Question: The-impatient-reporter, wife of the hunter, she says that her husband killed the first and killed the sixth.
Answer: Ayáraròyìn, aya ọdẹ, ó ní ọkọ òun pa èkínní, ó pa ẹ̀kẹfà.
Question: India and Nigeria have been ... | Àrísá iná, àkòtagìrì ejò; àgbà tó réjò tí kò sá, ara ikú ló ń yá a.
| 7 | NIv2 | task1685_menyo20k_translation | fs_opt | [
0.5247713327407837,
0.5026925206184387,
-0.01563796028494835,
0.04583870619535446,
0.004323432222008705,
0.3297354578971863,
-0.4098955988883972,
0.6613445281982422,
-0.029217183589935303,
-0.2689673900604248,
-0.026278067380189896,
-0.48058438301086426,
-1.2558554410934448,
0.478139102458... |
You will be given a definition of a task first, then some input of the task.
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not... | red_pantry | 1 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
0.2257007360458374,
-0.21881940960884094,
0.0934625193476677,
-0.0012919754954054952,
-0.23415136337280273,
-0.6019364595413208,
0.13404858112335205,
0.6935404539108276,
-0.13461074233055115,
0.038097355514764786,
0.006831744685769081,
0.06704957783222198,
-0.2273184061050415,
0.0937369018... |
You will be given a definition of a task first, then some input of the task.
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.
سرکاری پالیسی کے تحت خریداری
Output: | হোম এক্সপো ইন্ডিয়া ২০১৯ শুরু হল | 1 | NIv2 | task1070_pib_translation_urdu_bengali | zs_opt | [
-0.3067864775657654,
0.8621208071708679,
-0.31513720750808716,
-0.2950055003166199,
-0.19354255497455597,
0.12029153853654861,
0.5886331796646118,
0.04547969996929169,
0.20724338293075562,
0.014413909986615181,
-0.85468989610672,
-0.25885871052742004,
-0.3656303286552429,
0.366609066724777... |
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Context: We reviewed our experience with preoperative chemoradiotherapy in patients with adenocarcinoma of the distal esophagus and pretreatment en... | Endoscopic ultrasonography-identified celiac adenopathy in patients with adenocarcinoma of the distal esophagus conveys a poor prognosis despite preoperative chemoradiotherapy. These patients should be stratified in future multimodality trials. The investigation of induction chemotherapy before concurrent chemoradiothe... | 0 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.7041239142417908,
0.4767051637172699,
-0.6134134531021118,
0.03154822438955307,
0.5628116130828857,
-0.49983394145965576,
0.7379480600357056,
0.7104586362838745,
0.062418848276138306,
0.5954910516738892,
0.038796715438365936,
0.369213342666626,
-0.4946197271347046,
0.3711324632167816,
... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Q: ['s', '3607', 'p', 'P', '9285', 'J', 'l', '9863', '9823', '2817', 'g', '9751', '599', '2605', 'k', 'Y', 'O', 'U', '9649']
A: 57999
****
Q: ['v', 'a', 'O', 'S', 'r', 'T', 'r', 'K', 'K... | 56218
****
| 4 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.45304685831069946,
0.8377700448036194,
-0.8727625608444214,
-0.39657971262931824,
-0.3312389552593231,
-0.29992222785949707,
0.3333134651184082,
-0.03374513238668442,
-0.7724425792694092,
0.4395236074924469,
-0.6497442126274109,
0.024342596530914307,
0.07327577471733093,
-0.128293499350... |
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... | True | 4 | NIv2 | task403_creak_commonsense_inference | zs_opt | [
-0.03914124518632889,
0.8117154836654663,
-0.13454103469848633,
-0.21569867432117462,
-0.7541923522949219,
-0.6484145522117615,
0.9124560952186584,
0.44336721301078796,
-0.1373492032289505,
-0.2888414263725281,
-0.8862476348876953,
0.16521987318992615,
-0.5385869741439819,
0.20685550570487... |
Part 1. Definition
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Part 2. Example
Sentence-1: I'm looking forward to it.<sep>Sentence-2: I did hear about the event next week .
Answer: Yes
Explanation: We need... | Yes | 7 | NIv2 | task566_circa_classification | fs_opt | [
-0.416164755821228,
0.26998957991600037,
0.04694463685154915,
0.3246038556098938,
-0.11872956156730652,
-0.521163284778595,
0.6398842334747314,
0.6597827076911926,
0.12821581959724426,
-0.061758480966091156,
-0.5875818729400635,
0.004926249850541353,
-0.3990188241004944,
0.0277450997382402... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Example input: Astronomers now believe that every star in the galaxy has a planet, and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life, but we haven't seen any of t... | As empresas estão a perder o controlo dos seus clientes e dos seus colaboradores. | 3 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
-0.43040868639945984,
0.7021534442901611,
-0.017558028921484947,
-0.8364870548248291,
-0.1465604156255722,
-0.9029403924942017,
-0.5423399209976196,
0.46059513092041016,
0.7253057956695557,
-0.4562094807624817,
-0.11492748558521271,
0.33822232484817505,
-0.38818252086639404,
-0.15218278765... |
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
It 's that good .
A: | POS | 7 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-1.095367670059204,
0.15056568384170532,
0.8584756851196289,
-0.529904305934906,
0.24063420295715332,
-1.108123779296875,
0.7970601320266724,
0.8342485427856445,
0.4275912642478943,
0.5522997975349426,
-1.1287206411361694,
-0.7261433601379395,
0.008636998012661934,
-0.08740727603435516,
... |
Q: In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to "decompose the question"i.e. write the steps required to construct the given answer where each step is a question that can be an... | Step1: When was Pitman shorthand invented?, Step2: When was the tenth Amendment to the Constitution added?, Step3: Did #1 happen before #2?, Wikipedia page for step 1: Pitman shorthand, Wikipedia page for step 2: tenth Amendment (US Constitution), Wikipedia page for step 3: , not_definitive_answer: False, incorrect_a... | 7 | NIv2 | task168_strategyqa_question_decomposition | zs_opt | [
1.0246063470840454,
-0.10981372743844986,
-0.284138560295105,
-0.12179426848888397,
0.2056339681148529,
-1.2125788927078247,
1.462226152420044,
0.5646181702613831,
0.20282167196273804,
0.1462458372116089,
-0.11938154697418213,
-0.008541949093341827,
-0.6710454225540161,
0.17697955667972565... |
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 will be... | 7187 | 3 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
-0.12925341725349426,
0.4619864225387573,
-0.5398522615432739,
-1.3073264360427856,
-0.08616133034229279,
-0.15386752784252167,
0.22853374481201172,
0.3062901496887207,
-0.24062125384807587,
-0.4686286151409149,
-1.0513312816619873,
0.5859145522117615,
0.1809949278831482,
-0.32699391245841... |
You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
[Q]: Owanbẹ: Gari Ijẹbu, bọ̀ọ̀lì àtàwọn oúnjẹ lágbo ayẹyẹ 'owanbẹ' báyìí
[A]: Entertainment
[Q]: CAN rọ ìjọba àpapọ láti tú à... | World
| 5 | NIv2 | task612_yorubabbc_classification | fs_opt | [
0.6609303951263428,
0.08135159313678741,
-0.1308351457118988,
0.185685396194458,
-0.3949727416038513,
-0.7683209180831909,
-0.18499600887298584,
-0.07493318617343903,
0.5098218321800232,
0.045396819710731506,
-0.22196030616760254,
0.05161311477422714,
-0.7344411611557007,
0.103298358619213... |
Instructions: In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Input: For every dollar we i... | children | 3 | NIv2 | task613_politifact_text_generation | zs_opt | [
0.3365326523780823,
0.6737899780273438,
0.0765681117773056,
-0.12274035066366196,
-0.4567146599292755,
-0.09888620674610138,
0.4870510399341583,
0.6231725215911865,
0.514499306678772,
-0.3175871968269348,
-0.6487476825714111,
-0.42262497544288635,
-0.47664782404899597,
-0.18685704469680786... |
A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
Example: ఈ పోర్టల్ ను 2019-20 ఆర్థిక సంవత్సరానికి ఎన్జిఒ లు మరియు రాష్ట్రాలు ఆన్లైన్ లో దరఖాస్తులను దాఖలు చేయడం కోసం బుధవారం నాడు తిరిగి తెరవడం జర... | Solution: 15वें वित्त आयोग के संदर्भों को लेकर एक निराधार आरोप लगाया जा रहा है कि आयोग कुछ राज्यों और एक क्षेत्र विशेष के साथ भेदभाव कर रहा है। | 5 | NIv2 | task1046_pib_translation_telugu_hindi | fs_opt | [
0.1546158641576767,
0.09355218708515167,
0.262478768825531,
0.8136813640594482,
0.04091701656579971,
-0.3745882511138916,
0.3145524561405182,
0.8502501249313354,
-0.8129391670227051,
0.34175586700439453,
-0.3277759253978729,
0.2596468925476074,
-0.9018034934997559,
-0.14082187414169312,
... |
Q: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
É comum nos conflitos mundiais.
A: | هذا شائع في النزاع العالمي. | 7 | NIv2 | task1277_ted_translation_pt_ar | zs_opt | [
-0.2772384285926819,
1.040080189704895,
0.05641498789191246,
-0.5516728162765503,
-0.332334965467453,
-0.24772198498249054,
0.5521603226661682,
0.03949271887540817,
1.1358181238174438,
-0.22246548533439636,
-0.7214432954788208,
-0.24851199984550476,
-0.4666699171066284,
0.7752264142036438,... |
Q: Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to ma... | The attendees made nomination of students to work in Student Ministry . | 7 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
0.8285865783691406,
-0.058020979166030884,
-0.5454940795898438,
0.23314893245697021,
0.1016203835606575,
-0.6114439964294434,
0.5856321454048157,
0.41282421350479126,
0.5169870853424072,
-0.0934142917394638,
-0.0427815243601799,
-0.09388849139213562,
-0.2790052890777588,
-0.159544616937637... |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Event:PersonX talks for an hour. Intent: 1) to go to scho... | educated | 0 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.44470685720443726,
0.4648227095603943,
0.13904806971549988,
-0.3470473289489746,
-1.1794204711914062,
-0.22080004215240479,
1.003232479095459,
0.256503164768219,
0.08201132714748383,
-0.824038565158844,
0.5827007293701172,
-0.17792585492134094,
-0.2162109911441803,
0.21773916482925415,
... |
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... | Yes
| 5 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
-0.005860945675522089,
0.06672674417495728,
0.3899524509906769,
-0.17569902539253235,
-0.393838495016098,
-0.7185574769973755,
0.9239169955253601,
0.2416350543498993,
-0.4408406615257263,
-0.4320618510246277,
-0.3254852592945099,
-0.23899346590042114,
-0.5259541869163513,
0.087726578116416... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Input: Consider Input: Dialogue 1: 'i am leaving are wait i dont entertain stupid jokes'. Dialogue ... | Output: yes
| 2 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.12743441760540009,
0.2211892157793045,
0.3517078161239624,
-0.2715863287448883,
-0.04109971597790718,
-0.1988316774368286,
0.8424750566482544,
0.1937648206949234,
0.0577903650701046,
0.10537564754486084,
0.007867496460676193,
-0.4338548183441162,
-0.5756078958511353,
0.15434888005256653... |
Teacher: In this task, you will be shown a Persian passage. You need to write a Persian question for the passage. Your question should be answerable based on the passage and only have one correct answer.
Teacher: Now, understand the problem? If you are still confused, see the following example:
وارن بافت، (زادهٔ ۳۰ اوت... | ابریشم اصل چگونه خصوصیاتی دارد؟ | 2 | NIv2 | task394_persianqa_question_generation | fs_opt | [
0.35732054710388184,
0.10836591571569443,
-0.019894028082489967,
-0.30790090560913086,
-0.04577499255537987,
0.38030532002449036,
-0.03926658630371094,
1.1058754920959473,
0.4111067056655884,
0.3458143472671509,
-0.44666364789009094,
1.462672472000122,
-0.3787422478199005,
-0.1951358616352... |
You will be given a definition of a task first, then some input of the task.
A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence.
India is rapidly urbanizing and has set itself a goal of establishing 100 sm... | ఈ ప్రయాణంలో భారతదేశానికి భాగస్వామి అయ్యేందుకు మరియు మా స్వీయ అనుభవం ఆధారంగా అర్బన్ సొల్యూషన్స్ ను అభివృద్ధి పరచడంలో సహాయపడేందుకు నగర ప్రాంతాలు ఎక్కువగా ఉన్న సిటీ- స్టేట్ అయినటువంటి సింగపూర్ సిద్ధంగా ఉంది. | 1 | NIv2 | task1047_pib_translation_english_telugu | zs_opt | [
-1.1542553901672363,
1.1151272058486938,
0.6448209285736084,
-0.0777999758720398,
0.7349861860275269,
-0.47574132680892944,
0.1251188963651657,
0.29843801259994507,
-0.03539767861366272,
0.5205653309822083,
0.38653451204299927,
0.4047156870365143,
-0.2962086796760559,
-0.12349104136228561,... |
Detailed Instructions: 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.
Problem:System Reference: x is a restaurant in the moderate... | 1 | 8 | NIv2 | task1186_nne_hrngo_classification | zs_opt | [
-0.3516571521759033,
0.8922946453094482,
-0.4720555543899536,
-0.12799213826656342,
-0.6927966475486755,
-0.21240586042404175,
0.9344637393951416,
0.8267967700958252,
0.10918721556663513,
-0.1920216679573059,
-0.45597603917121887,
-0.4267948865890503,
-0.8386456370353699,
-0.16814553737640... |
Detailed Instructions: In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Problem:Tweet: @Neo_drone aww.. Robbie Willia... | yes | 8 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-0.9241170883178711,
0.33086663484573364,
0.20970997214317322,
0.1400739848613739,
-0.07663679122924805,
-1.1665897369384766,
0.4488007128238678,
0.5038792490959167,
0.5929436087608337,
0.44942420721054077,
-0.3696604371070862,
-0.31184661388397217,
0.2079261839389801,
-0.2776683568954468,... |
Teacher: From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Given Relationship: 'make', Sentence: 'Jenny made the announc... | comprising | 2 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.3100461959838867,
0.5798112154006958,
0.06244513764977455,
-0.3543698787689209,
0.2708621621131897,
-0.43918395042419434,
0.12291812896728516,
0.8817864656448364,
-0.32033583521842957,
0.2817530632019043,
-0.4627414047718048,
0.42389488220214844,
-0.6966776847839355,
-0.1744214594364166... |
Teacher:Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Teacher: Now, understand the problem? Solve this instance: Tagalog sentence: 20 Saan nanggagaling nga ang karunungan? At saan naroon ang dako ng pagkaunawa?
Student: | 20 Whence then cometh wisdom? and where is the place of understanding? | 6 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
-0.20890405774116516,
0.5433788299560547,
0.39489731192588806,
-1.295283555984497,
-0.6213369965553284,
-0.556722104549408,
0.12315988540649414,
0.2632474899291992,
0.027496686205267906,
-0.39617598056793213,
-0.0933954268693924,
0.6532722115516663,
-1.4874253273010254,
-0.4202435612678528... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
زمان زیادی تو دستشویی سر کردم.
A: | Passei muito tempo na casa-de-banho. | 7 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.7407106161117554,
1.122309684753418,
-0.6950256824493408,
0.022687815129756927,
-0.8173201084136963,
-0.22733452916145325,
-0.5674636363983154,
0.4730779826641083,
0.7270553112030029,
-0.10575781017541885,
0.18118099868297577,
0.70755934715271,
0.30279284715652466,
-0.1686120629310608,
... |
Detailed Instructions: Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
See one example below:
Problem: Category: construction
Words: excavator, crane, pelican, hoist, upraise
Solu... | plastic | 4 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
0.041154686361551285,
0.6827815771102905,
-0.046891387552022934,
-0.16138818860054016,
0.077552430331707,
-0.10164275020360947,
0.2875397801399231,
0.3282460570335388,
0.10080045461654663,
-0.021729396656155586,
-0.7046313285827637,
0.11814508587121964,
-0.7446205615997314,
0.1595268845558... |
Definition: You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movie plots, th... | What does Margit regret? | 2 | NIv2 | task405_narrativeqa_question_generation | zs_opt | [
0.25807419419288635,
0.900657057762146,
-0.2500537037849426,
-0.16363324224948883,
0.21116852760314941,
-0.952346920967102,
0.18781834840774536,
0.29443371295928955,
-0.3364773392677307,
0.015937920659780502,
-0.24299581348896027,
0.2582191824913025,
-0.49245619773864746,
0.111518040299415... |
TASK DEFINITION: In this task, you are given a sentence in Persian, and your task is to translate it into English.
PROBLEM: به جوانهایی کمک کرده بود که قدردانش بودند،
SOLUTION: she had helped young people, who were grateful to her;
PROBLEM: و در آن صورت چطور میتوانم خودم را برای اجرای برنامههای آیندهام آماده کنم؟... | nd when her speech was over, she trembled and blushed at her own daring.
| 8 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.01852729171514511,
0.6999174356460571,
-0.49594128131866455,
-0.34767666459083557,
-0.5691912174224854,
-0.0031950108241289854,
1.553334355354309,
0.18480630218982697,
0.3953380882740021,
-0.249482661485672,
-0.5217217803001404,
0.6343194842338562,
-0.8743574619293213,
0.168115437030792... |
instruction:
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.
question:
Made in royal fashion, the figures of Kaali and Garuda are present atop the door.
answer:
शाही अंदाज में बने इस द्वार के ऊपर देवी काली और ग... | इन मंदिरों का इतिहास 1950 के दशक से शुरू हा जब लग इसके प्रांगण में लगे पीपल के पेड़े के इर्दगिर्द कीर्तन करने जुटने लगे ।
| 9 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.22761240601539612,
0.6446903944015503,
-0.20683300495147705,
0.08121293038129807,
-0.32282382249832153,
-0.3768933117389679,
0.6481729745864868,
0.7311539649963379,
-0.8266164660453796,
-0.0897243395447731,
-0.1201278567314148,
0.3458458483219147,
-0.02508452534675598,
0.448776513338089,... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns wheth... | select the row whose crowd record of all rows is 2nd maximum . the venue record of this row is punt road oval .
| 6 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.053175464272499084,
-0.40748292207717896,
-0.16968005895614624,
0.06605814397335052,
0.003449888899922371,
-0.45732587575912476,
0.600391149520874,
0.3567562997341156,
0.0857955813407898,
-0.057083845138549805,
-0.5617369413375854,
-0.0941244587302208,
0.2027624398469925,
0.6389329433441... |
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... | said | 6 | NIv2 | task390_torque_text_span_selection | zs_opt | [
0.03383926674723625,
0.616818904876709,
-0.1427903026342392,
-0.6725186109542847,
-0.3345035910606384,
-0.7153298854827881,
1.1273690462112427,
0.9178662300109863,
-0.11012249439954758,
0.348370224237442,
-0.43859291076660156,
0.2549944519996643,
-0.5383275747299194,
-0.16120384633541107,
... |
Given the task definition, example input & output, solve the new input case.
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 afte... | happy | 1 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.28170475363731384,
0.4635441303253174,
-0.010683240368962288,
-0.21550527215003967,
0.010110056027770042,
-0.11242776364088058,
0.7789013385772705,
0.9547450542449951,
0.10642614960670471,
-0.2101883590221405,
-0.03858161345124245,
-0.13269498944282532,
-0.3030799627304077,
-0.064503736... |
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 conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Pe... | 0 | 0 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
0.5203583240509033,
0.3293308615684509,
-0.38137733936309814,
0.3027125895023346,
0.353471040725708,
-0.21233908832073212,
0.3008132874965668,
-0.016223231330513954,
0.14423790574073792,
0.04632759466767311,
-0.2783767580986023,
-0.2769319713115692,
-0.11999645084142685,
0.0777455419301986... |
Given the task definition and input, reply with output. You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
System Reference: x is a restaurant in the expensive price ... | 1 | 5 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-0.7376951575279236,
1.0423080921173096,
-0.1200137585401535,
0.03346014767885208,
-0.2944651246070862,
-0.08753429353237152,
0.9207944273948669,
0.41296863555908203,
0.20448893308639526,
-0.39570656418800354,
-0.23389217257499695,
-0.06785042583942413,
-0.7208855152130127,
-0.035027578473... |
instruction:
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as ... | walk around right twice and turn opposite left thrice
| 9 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.5111628770828247,
0.8842145204544067,
-0.45412677526474,
0.06341616809368134,
0.02844833768904209,
0.39227360486984253,
0.25169092416763306,
0.9529005885124207,
-0.36689719557762146,
-0.31942787766456604,
-0.8612810373306274,
-0.11899259686470032,
-0.6375083923339844,
-0.0431873723864555... |
Definition: In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creati... | Once the children fell asleep, Pat enjoyed her perfect silence. | 2 | NIv2 | task071_abductivenli_answer_generation | zs_opt | [
0.054407671093940735,
0.6872166395187378,
-0.33458566665649414,
-0.4007894694805145,
-0.47958046197891235,
0.4740884304046631,
0.9525186419487,
0.3106064796447754,
0.15514416992664337,
-0.4395139813423157,
-1.0531994104385376,
0.7869512438774109,
-0.15306006371974945,
0.16857869923114777,
... |
Definition: 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 probabi... | Un banco de carruaje por lo general tiene velas encendidas en él. | 2 | NIv2 | task417_mickey_es_sentence_perturbation_generation | zs_opt | [
-0.5927133560180664,
0.8400357961654663,
0.5674046277999878,
-0.2017972767353058,
-0.1000913456082344,
-0.24126330018043518,
0.3752310872077942,
1.2576019763946533,
0.22109079360961914,
-0.7332829236984253,
-0.9237273931503296,
0.06989143788814545,
-0.23340445756912231,
0.3436385989189148,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given product reviews about dvds. The goal is to classify the review as "POS" if the overall sentiment of the review is positive(the reviewer is satisfied) or as "NEG" if the overall sentiment of the review is negative(th... | NEG | 1 | NIv2 | task477_cls_english_dvd_classification | zs_opt | [
0.4434603750705719,
-0.3394460082054138,
-0.6354212760925293,
-0.833196759223938,
0.39398255944252014,
-0.3932896852493286,
0.7717680931091309,
0.37203627824783325,
0.3307071328163147,
0.1903364509344101,
0.6290633678436279,
0.2751201391220093,
-0.5476691722869873,
-0.27729952335357666,
... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
Example Input: However you configure or wherever you place the us, who cleans up after us in Istanbul?
Example Output: W jakimkolwiek układzie i w jakimkolwiek miejscu, kto sprząta po nas w Stambule?
Example Input: Because... | Mamy możliwość robienia z nimi coraz bardziej skomplikowanych rzeczy.
| 3 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-0.4573791027069092,
1.3883540630340576,
-0.4733154773712158,
0.09086617827415466,
-0.15163223445415497,
-1.110623836517334,
0.5782470703125,
-0.0026954044587910175,
0.11192621290683746,
-0.09503139555454254,
-0.04020608589053154,
1.5277800559997559,
-0.9116942882537842,
0.3684427738189697... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as... | 1 | 1 | NIv2 | task230_iirc_passage_classification | zs_opt | [
1.3127806186676025,
0.24784356355667114,
-0.9791619777679443,
-0.1883198618888855,
0.3731067180633545,
-0.30110952258110046,
1.777221918106079,
0.9361559152603149,
0.07955110818147659,
0.36645323038101196,
-0.21374914050102234,
0.3952782452106476,
-0.6374543905258179,
0.5705056190490723,
... |
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the auth... | yes | 4 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
-0.1231478899717331,
0.03631805628538132,
-0.1846316158771515,
-0.22266894578933716,
0.41499170660972595,
-0.7758111357688904,
0.7265421152114868,
1.2048898935317993,
-0.45493173599243164,
-0.1541747748851776,
-0.11308589577674866,
0.6034495830535889,
-0.3533031642436981,
-0.05207277089357... |
Detailed Instructions: Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Pr... | I want to hear what your voices say... do they think I can climb mt. Everest? | 8 | NIv2 | task1729_personachat_generate_next | zs_opt | [
-0.3663850426673889,
0.7950270175933838,
-0.4197141230106354,
-0.11523991823196411,
-0.261603981256485,
-0.797362744808197,
0.3507433831691742,
-0.11327022314071655,
-0.12603609263896942,
-0.5155515670776367,
0.19173802435398102,
-0.3316132128238678,
-0.8198426961898804,
0.478396475315094,... |
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: 与党が値上げにつながる環境について説明し、野党が反対するのがお決まりのパターンになった。
Khamer: គ្រាន់តែពីរអាទិត្យដែលប្រទេសចិនបាន... | No | 4 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.9470131993293762,
-0.43712297081947327,
0.006941384635865688,
0.13786308467388153,
-0.09704630076885223,
-0.7084504961967468,
0.6369578838348389,
0.5589327216148376,
-0.4724355936050415,
0.028999149799346924,
-0.12605232000350952,
0.005412304773926735,
-0.5912923812866211,
0.55565464496... |
Definition: Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Input: Spiders have one, two, or ____ pairs of spinnerets.
Output: | three | 2 | NIv2 | task1359_numer_sense_answer_generation | zs_opt | [
-0.8066123723983765,
0.41927167773246765,
-0.35328805446624756,
-0.21690773963928223,
0.10009431838989258,
0.033194005489349365,
0.8858265280723572,
-0.04984541982412338,
0.1437498778104782,
-0.42793354392051697,
-0.49136799573898315,
0.3129158318042755,
-0.8298514485359192,
-0.35753625631... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example... | Yes | 1 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.5575072765350342,
-0.16994011402130127,
0.09028535336256027,
0.2366209775209427,
0.41064193844795227,
-0.21790876984596252,
0.28318339586257935,
0.4459725320339203,
-0.24742691218852997,
-0.5551161170005798,
0.07648621499538422,
1.3464906215667725,
-0.6264580488204956,
0.650453627109527... |
Q: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Title: The Child Without A Home. Sentence 1: Mary was a 7 year old girl living in an orphanage. Sentence 2: All ... | They all decided Mary should become part of the family. | 7 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
-0.030639367178082466,
1.2335922718048096,
-0.07743768393993378,
-0.5430188179016113,
-0.41569000482559204,
-0.22690562903881073,
1.009344220161438,
0.89491868019104,
0.18033209443092346,
-0.14108961820602417,
-0.040834177285432816,
0.11870236694812775,
-0.5744030475616455,
-0.268925428390... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
ここで5秒間とってまた繰り返しますが「形態と機能」ですここで5秒間とってまた繰り返しますが「形態と機能」です
| והנה עוד חמש שניות של התרגעות, זו המנטרה שלי. צורה ותפקוד. | 5 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
-0.3229252099990845,
-0.16751492023468018,
0.22731323540210724,
0.3655228614807129,
-0.3374178409576416,
0.3010765612125397,
0.34070903062820435,
0.018268678337335587,
0.40044161677360535,
-0.8411324620246887,
-0.6818302273750305,
0.1539773941040039,
-0.5910768508911133,
0.3464133739471435... |
Q: You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
concept: Elle Greenaway answers: ['Lola Glaudini']
A: | who played elle greenaway? | 7 | NIv2 | task1602_webquestion_question_genreation | zs_opt | [
-1.016160249710083,
1.2833671569824219,
-0.308887779712677,
-0.10055731981992722,
0.17629888653755188,
-0.9650649428367615,
-0.054127126932144165,
0.0725134015083313,
0.34753257036209106,
-1.046676516532898,
-0.03974303603172302,
0.19202640652656555,
-0.10903595387935638,
-0.30352514982223... |
You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct ... | C | 3 | NIv2 | task229_arc_answer_generation_hard | fs_opt | [
0.6185605525970459,
0.5518094301223755,
-0.14686137437820435,
-0.25867873430252075,
-0.5734618306159973,
-0.969592809677124,
0.1440185010433197,
0.8690654039382935,
-0.3422362208366394,
-0.1441313922405243,
-0.41755419969558716,
-0.2676411271095276,
0.23863376677036285,
-0.2681833207607269... |
Teacher: 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 friendly droid by listing each action it should take in order for the ... | #1 return cristiano ronaldo plays for manchester
#2 return date of #1
#3 return the highest of #2 | 2 | NIv2 | task176_break_decompose_questions | fs_opt | [
1.0574325323104858,
-0.2476167380809784,
-0.7420626878738403,
0.5146493911743164,
0.2460046410560608,
-0.3081415593624115,
1.1439660787582397,
0.25455421209335327,
-0.5253600478172302,
0.3009951412677765,
-0.365322470664978,
0.06983696669340134,
-0.030223317444324493,
0.49078214168548584,
... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Example Input: Co... | A
| 3 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
0.02195727452635765,
0.2908940017223358,
-0.5315511226654053,
0.09675651043653488,
0.48071134090423584,
0.0632682517170906,
0.21964067220687866,
0.5795586109161377,
-0.74382084608078,
0.11928339302539825,
0.019857089966535568,
-0.1957923173904419,
-0.39088717103004456,
-0.46281012892723083... |
You will be given a definition of a task first, then some input of the task.
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Dark lines form where _ individual lichens meet.
Output: | two | 1 | NIv2 | task672_nummersense | zs_opt | [
0.09224618226289749,
0.27453750371932983,
-0.2641103267669678,
-1.0774879455566406,
-0.4949802756309509,
0.48056113719940186,
0.20299924910068512,
0.10422957688570023,
-0.15023496747016907,
-0.2775590419769287,
-0.38193827867507935,
0.0146611537784338,
-0.6129026412963867,
0.60574543476104... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Problem:Se me ocurren un millón de usos para una herramienta como esta.
Solution: | Posso pensare a un milione di usi di uno strumento come questo. | 8 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.1675717979669571,
0.9649277329444885,
-0.8097833395004272,
0.7699565887451172,
-0.19637106359004974,
-0.5518776178359985,
0.39369896054267883,
1.281491756439209,
0.39040759205818176,
-0.6888833045959473,
-0.3373025357723236,
-0.07591459155082703,
0.21141096949577332,
0.40864914655685425... |
Teacher: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Agora, está ao lado, ou na miña casa.
Solution: Now, it's next door, or in my house.
Reason: The Galician sentence is co... | This is the same set of shelves from his point of view. | 2 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.1420871615409851,
0.7332650423049927,
0.21047133207321167,
-0.6233774423599243,
0.10538476705551147,
-0.9373940229415894,
0.10887660086154938,
0.9144682884216309,
-0.09872149676084518,
0.11739635467529297,
-0.09935390204191208,
0.3508906066417694,
-0.927699089050293,
-0.3214522004127502... |
Teacher:In this task you are given a short story and a question regarding that story. You must answer the question based on the events of the story. Try to use the same words in the story to answer each question. You should completely answer the question in a short answer. Do not include information that is unnecessary... | they talked the night away. | 6 | NIv2 | task332_tellmewhy_answer_generation | zs_opt | [
0.2684316039085388,
0.5288618803024292,
-0.10510287433862686,
-0.767316997051239,
-0.14297017455101013,
-0.5398612022399902,
1.2147026062011719,
0.17603762447834015,
0.2775267958641052,
-0.3431008458137512,
-0.4569369852542877,
0.26902955770492554,
-0.7696394920349121,
-0.15168842673301697... |
Given the task definition and input, reply with output. A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
ਗਣੇਸ਼ ਚਤੁਰਥੀ ਦਾ ਪਰਵ ਮੰਗਲਮੂਰਤੀ ਸ਼੍ਰੀ ਗਣੇਸ਼ ਦੇ ਜਨਮ ਉਤਸਵ ਦੇ ਰੂਪ ਵਿੱਚ ਮਨਾਇਆ ਜਾਂਦਾ ਹੈ। ਗਣੇਸ਼ ਦੀ ਵਿੱਦਿ... | ভগবান গণেশের জন্মতিথিকে স্মরণ করে গণেশ চতুর্থী উদযাপিত হয়। ভগবান গণেশ হলেন - জ্ঞান, বিদ্যা এবং সমৃদ্ধির প্রতীক। | 5 | NIv2 | task1026_pib_translation_punjabi_bengali | zs_opt | [
-1.3232042789459229,
0.7929868698120117,
0.47791028022766113,
-0.10110552608966827,
-0.7107343077659607,
-1.6122602224349976,
-0.2537747621536255,
-0.2965441942214966,
0.350735068321228,
-0.2222282886505127,
-1.1144508123397827,
0.0034037199802696705,
-0.24827063083648682,
0.39381736516952... |
Teacher:A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: ਭਾਰਤ ਅਤੇ ਫਰਾਂਸ ਖਰਾਬ ਗਤੀਵਿਧੀਆਂ ਨੂੰ ਰੋਕਣ ਲਈ ਅਤੇ ਉਨ੍ਹਾਂ ਦੇ ਸੰਭਾਵਿਤ ਪ੍ਰਭਾਵਾਂ ਦਾ ਮੁਲਾਂਕ... | സൈബര് ഇടങ്ങള് വിദ്വേഷ പ്രവര്ത്തനങ്ങള്ക്കായി ഉപയോഗിക്കുന്നത് തടയാനും, അവയുടെ കാരണങ്ങള് കണ്ടെത്തി ആവശ്യമായ തിരുത്തല് നടപടികള് കൈക്കൊള്ളുന്നതിനും, പരസ്പരം വിവരങ്ങള് പങ്കുവയ്ക്കലിലൂടെ തങ്ങളുടെ സഹകരണം ശക്തിപ്പെടുത്താനും ഇന്ത്യയും, ഫ്രാന്സും തീരുമാനിച്ചു. | 6 | NIv2 | task1006_pib_translation_punjabi_malayalam | zs_opt | [
0.015464001335203648,
0.37982144951820374,
-0.012192675843834877,
-0.9853663444519043,
-0.09226582944393158,
0.15648481249809265,
0.44946104288101196,
0.4932190775871277,
-0.13398881256580353,
0.19116532802581787,
-0.49780112504959106,
-0.3554475009441376,
-0.5644335746765137,
-0.345293790... |
Detailed Instructions: We would like you to classify each of the following sets of argument pairs (discussing Gun Control) 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 hav... | Not similar | 9 | NIv2 | task146_afs_argument_similarity_gun_control | zs_opt | [
-0.4507603645324707,
0.48376691341400146,
0.32503455877304077,
-0.4515623152256012,
0.5153748989105225,
-0.9875645637512207,
0.6826553344726562,
1.0315076112747192,
0.1033831313252449,
0.3450511693954468,
-0.6322536468505859,
-0.06057140231132507,
-0.7373842597007751,
-0.02399103343486786,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Example Input: Te kratery płaczą w lecie.
Example Output: Eses cráteres pingan durante o verán.
Example Input: Witryna PostSecret.com jest najczęściej odwiedzanym blogiem bez reklam na świecie.
Example Output: PostSecret.c... | Pero creo que están facendo un traballo moi importante.
| 3 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-1.3092983961105347,
0.7320005893707275,
-0.31430667638778687,
-0.1862419992685318,
-0.2950711250305176,
-1.1847820281982422,
0.5093992352485657,
-0.3567371964454651,
-1.0140748023986816,
-0.3726227283477783,
0.14244045317173004,
-0.06764493882656097,
-0.2082982361316681,
0.220112577080726... |
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant ... | True
| 1 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
-0.5344396829605103,
0.18929630517959595,
-0.44225022196769714,
-0.14065921306610107,
-0.5280560255050659,
0.33350351452827454,
0.8196543455123901,
1.0077999830245972,
0.1534709334373474,
-0.1409197747707367,
-0.765811562538147,
0.19262009859085083,
-0.5440359711647034,
0.19164788722991943... |
Definition: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a... | a | 2 | NIv2 | task232_iirc_link_number_classification | zs_opt | [
-0.23440954089164734,
0.7046242952346802,
-0.3277466893196106,
0.132400780916214,
0.5143764019012451,
-0.13400915265083313,
0.43581444025039673,
0.32372504472732544,
-0.08390800654888153,
0.6478497385978699,
0.4671676456928253,
-0.1739160567522049,
-0.7069340944290161,
-0.04279004037380218... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | walk opposite left thrice after jump around right thrice
****
| 4 | NIv2 | task131_scan_long_text_generation_action_command_long | fs_opt | [
0.5715422630310059,
0.6379880905151367,
-0.29527002573013306,
-0.036890432238578796,
0.17933893203735352,
-0.017068764194846153,
0.3024331331253052,
0.8482534885406494,
-0.22299066185951233,
-0.06876102089881897,
-0.6780269742012024,
-0.09874552488327026,
-0.7072291374206543,
-0.0581367313... |
Detailed Instructions: In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a... | ‘I don’t care about Rio,’ sang the supporters of FC United, ‘he don’t care about me.’ It is over a decade since Rio Ferdinand’s contract dispute with _, but the memory still rankles. | 4 | NIv2 | task301_record_question_generation | fs_opt | [
0.4452573359012604,
0.34438356757164,
-0.9908745884895325,
0.2916352152824402,
0.018212756142020226,
-0.14296412467956543,
0.6223302483558655,
0.4281659722328186,
-0.07319889962673187,
0.321292519569397,
-0.00944924633949995,
0.20226401090621948,
-0.9407037496566772,
0.4691691994667053,
... |
Instructions: 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: matress
before: musty
after: wood smelling
attr: odor
Output: | odor of matress was musty before and wood smelling afterwards | 3 | NIv2 | task1631_openpi_answer_generation | zs_opt | [
0.5648002624511719,
0.827957272529602,
-0.6189565062522888,
-0.6582687497138977,
-0.608938455581665,
-1.5966520309448242,
-0.10171519219875336,
0.5988233089447021,
0.052795104682445526,
-0.057572461664676666,
0.09507843852043152,
-0.06962178647518158,
-0.8855065107345581,
-0.72940528392791... |
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearanc... | race-color
| 1 | NIv2 | task317_crows-pairs_classification_stereotype_type | fs_opt | [
0.22200247645378113,
0.23783621191978455,
-0.2196141481399536,
-0.08643071353435516,
0.15915924310684204,
0.025743113830685616,
0.3736078143119812,
0.8001784086227417,
0.6619687676429749,
0.12199413031339645,
-0.8290847539901733,
0.1833544373512268,
-0.7194660902023315,
-0.3626512885093689... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following cha... | B | 0 | NIv2 | task106_scruples_ethical_judgment | fs_opt | [
-0.15539196133613586,
0.5099505186080933,
0.5554361939430237,
-0.11360491812229156,
-0.6006465554237366,
0.006271610036492348,
0.27313363552093506,
0.825657844543457,
0.41718199849128723,
0.45791059732437134,
0.2153613120317459,
-0.05914858728647232,
0.374334454536438,
-0.7718844413757324,... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposi... | Output: WP NNS VBP VBN IN DT NN VBG DT NN NN NNP CD .
| 2 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
-0.014893531799316406,
0.49097251892089844,
-0.4169914722442627,
0.20860092341899872,
-0.2595868408679962,
0.013733508065342903,
1.3873333930969238,
0.6664869785308838,
0.047986142337322235,
-0.3662044405937195,
-0.6525493860244751,
0.42812973260879517,
-0.8178050518035889,
-0.105404585599... |
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" ... | Sentence 1: Driving a bus is PersonX first job they also have a job were they work with PersonY, _ works two jobs every week.
Sentence 2: Driving a bus is PersonX first job they also have a job were they work with PersonY, _ works one job every week. | 3 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.49621886014938354,
0.1982288360595703,
0.17243872582912445,
-0.1423996090888977,
0.24017591774463654,
-0.41020965576171875,
0.5754866600036621,
0.8471667766571045,
0.16908760368824005,
-0.3509584963321686,
-0.7650095224380493,
-0.3929891884326935,
-0.016957921907305717,
0.171267941594123... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
--------
Question: Title: Julie and Pat. Sentence 1: Julie and Pat were best friends in school. Sentence 2: After s... | The man decided that washing his car was a waste of time.
| 7 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.37489330768585205,
0.0462334007024765,
-0.14778965711593628,
-0.4072573781013489,
0.3461070656776428,
-0.3977782428264618,
0.6064690351486206,
1.1462546586990356,
-0.37207332253456116,
-0.20074528455734253,
-0.4260982275009155,
0.5025818347930908,
-0.30950891971588135,
-0.03666698187589... |
Part 1. Definition
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
Part 2. Example
claim: Music containing lyri... | support | 7 | NIv2 | task738_perspectrum_classification | fs_opt | [
0.09599699079990387,
1.0299841165542603,
0.3189184367656708,
-0.13186895847320557,
-0.059490710496902466,
-0.2673931121826172,
1.0388011932373047,
0.5095136761665344,
0.23740538954734802,
-0.08634813129901886,
-0.7096320986747742,
-0.5321936011314392,
-1.0303771495819092,
-0.36778134107589... |
In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in the future.
My girlf... | HISTORICAL
| 0 | NIv2 | task282_scruples_event_time | fs_opt | [
-0.11151318997144699,
0.269051730632782,
0.2867511808872223,
-0.316175639629364,
0.6943093538284302,
-0.18675431609153748,
0.4413614869117737,
1.1821479797363281,
0.007595553994178772,
-0.1627730429172516,
-0.025350939482450485,
-0.09451701492071152,
-0.31132763624191284,
-0.15812630951404... |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t... | hCWtTbbccceefhijluyyzqyRXOpmcHtoX, NeCsOOBRbbccceefhijluyyzHI
****
| 4 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.36721622943878174,
0.727187991142273,
-0.04663844406604767,
0.274010568857193,
0.07396441698074341,
-0.11792334914207458,
0.42974042892456055,
0.3535956144332886,
-0.2932314872741699,
-0.09234054386615753,
-0.8331456184387207,
-0.8805879950523376,
-0.18762707710266113,
0.1258083432912826... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sente... | 13, 14.
| 7 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
0.7257535457611084,
0.263704776763916,
-0.6654824018478394,
-0.39328810572624207,
0.29929643869400024,
-0.15018430352210999,
0.47719547152519226,
0.46130988001823425,
0.034950681030750275,
0.357779860496521,
-0.6594952344894409,
0.25087785720825195,
-0.41260483860969543,
-0.063464418053627... |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Example: I have bought several of the Vitality canned dog food products and have found them all to be of good qu... | Solution: Yummy coffee | 5 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.580926239490509,
0.030100731179118156,
0.007109714671969414,
-0.6091424822807312,
0.0502764955163002,
-0.08546438813209534,
0.8373510837554932,
0.4785858988761902,
-0.3550255596637726,
0.2444397211074829,
0.37312403321266174,
0.0004673571093007922,
-0.7607749700546265,
-0.04862241446971... |
Definition: In this task you are given a short story and a question regarding that story. You must answer the question based on the events of the story. Try to use the same words in the story to answer each question. You should completely answer the question in a short answer. Do not include information that is unneces... | After twenty minutes, the scent of cookies filled the house. so She rolled the dough. | 2 | NIv2 | task332_tellmewhy_answer_generation | zs_opt | [
0.5242035388946533,
0.875808596611023,
-0.14724014699459076,
0.10003289580345154,
-0.3846520483493805,
-0.17352762818336487,
0.5128686428070068,
0.19384658336639404,
-0.04452872276306152,
-0.7232099771499634,
-0.5119287967681885,
0.20274393260478973,
0.07960726320743561,
-0.150395706295967... |
In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Let me give you an example: Text: quick backstory: i am a duel enrollment student (still in high school ... | body oils disintegrated lighting cable, broke cable. can't charge phone. | 8 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.19454613327980042,
0.651596188545227,
-0.308106392621994,
-0.7423144578933716,
0.33041441440582275,
-0.5645818710327148,
0.5992604494094849,
0.6871814727783203,
-0.1667330265045166,
0.03785040229558945,
-0.2750900983810425,
0.36212781071662903,
-0.5092566609382629,
-0.14516204595565796,
... |
Teacher: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Solution: 第一にキリバス共和国が... | 私はただ目標のために泳ぐだけ | 2 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.6268576383590698,
-0.07553550601005554,
0.06195947527885437,
-0.7688332796096802,
-0.13109874725341797,
-1.0270897150039673,
0.3168785572052002,
-0.11034920811653137,
0.12611569464206696,
-0.1628008484840393,
0.21987976133823395,
-0.09033739566802979,
-0.5471978187561035,
-0.073157802224... |
Definition: Given a scientific passage and an answer, generate a question for the given answer.
Input: Passage: The cerebrum is divided down the middle from the front to the back of the head. The two halves of the cerebrum are called the right and left hemispheres. The two hemispheres are very similar but not identical... | What part of the brain is divided from front to back into the left and right hemispheres? | 2 | NIv2 | task594_sciq_question_generation | zs_opt | [
-0.013197332620620728,
0.6316208839416504,
0.4613713026046753,
-0.7448720932006836,
-0.43672505021095276,
-0.5895869135856628,
0.056333333253860474,
-0.3501896262168884,
0.5977908372879028,
-1.0932388305664062,
-0.5189025402069092,
0.05487323924899101,
-0.7518013715744019,
0.38380277156829... |
Detailed Instructions: Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Q: Vanga vanga el... | Hope Speech | 9 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.3723653554916382,
-0.2159653902053833,
0.8243010640144348,
0.7085081934928894,
-0.006942655425518751,
-0.9198591709136963,
-0.4680306315422058,
0.7882117033004761,
-0.5633214712142944,
0.17401377856731415,
0.05628287047147751,
0.021967792883515358,
-0.054321080446243286,
-0.438374787569... |
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: การสำรวจครั้งนี้ได้ทดสอบผลของ "การบำบัดด้วยดนตรี, ด้วยจินตนาการ และด้วยพลังสัมผัส (... | 研究では、心臓手術の前の「音楽、イメージ、タッチ（MＩT）療法」の影響も調べた。 | 6 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.46537327766418457,
0.08879414200782776,
-0.17842210829257965,
-0.5427137613296509,
0.010207661427557468,
-0.9781668186187744,
1.1819758415222168,
-0.04322990030050278,
-0.4153839945793152,
-0.26643234491348267,
0.22470402717590332,
0.26483505964279175,
-0.6341484785079956,
0.27142384648... |
Detailed Instructions: In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Problem:You can see the rain.... | second | 8 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
-0.17824675142765045,
1.2296950817108154,
-0.18805542588233948,
-0.675308883190155,
-0.24378438293933868,
-0.6439738869667053,
0.22900982201099396,
0.7620833516120911,
0.30313611030578613,
0.287028044462204,
-0.5703064203262329,
-1.1603591442108154,
-0.5031147003173828,
-0.2164921164512634... |
Given the task definition and input, reply with output. 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.
AZ_Alkmaar | man... | John van den Brom plays for Vitesse Arnhem and in the Jong Ajax club. He is also the manager of AZ Alkmaar. | 5 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-0.4554484784603119,
0.8972170352935791,
-0.4555920362472534,
-0.44890791177749634,
-0.38240188360214233,
0.275369256734848,
0.9701831340789795,
-0.8300769925117493,
-0.27572864294052124,
-0.30693256855010986,
-0.40551015734672546,
0.5974218845367432,
-0.6508371233940125,
0.479582726955413... |
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Example input: at the beach, name something that might protect you from sun.
Example output: umbrella
Example explanation: Umbre... | sweater | 3 | NIv2 | task820_protoqa_answer_generation | fs_opt | [
-0.09246659278869629,
1.202864646911621,
-1.3905704021453857,
-0.11280719935894012,
-1.28151273727417,
-1.9371756315231323,
-0.003558872500434518,
0.45758217573165894,
0.2557345926761627,
-0.41900861263275146,
-0.363863468170166,
0.9933103322982788,
-0.6400763392448425,
-0.4070117175579071... |
Definition: Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symb... | ADV | 2 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.30285197496414185,
-0.04264099523425102,
0.006150783505290747,
0.11715240031480789,
-0.06186133995652199,
-0.6689716577529907,
0.6324070692062378,
0.5485246181488037,
-0.2958909869194031,
-0.18041576445102692,
-0.5887258052825928,
0.24505557119846344,
-0.7224171161651611,
0.3726603984832... |
Detailed Instructions: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each ci... | recognizing we must give insurance policy language its ordinary and generally accepted meaning unless the policy shows that the words used are intended to impart a technical or different meaning | 4 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.6031659841537476,
0.2454518973827362,
-0.2611725330352783,
0.05068321153521538,
0.4873536229133606,
-1.0792611837387085,
0.05185166001319885,
1.0085511207580566,
-0.3435761332511902,
0.23009026050567627,
-0.6489272713661194,
0.419109582901001,
-0.39696264266967773,
-0.06809018552303314,
... |
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