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 |
|---|---|---|---|---|---|---|
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.
Example Input: Personali... | Why do not you tell her how you feel?
| 3 | NIv2 | task1729_personachat_generate_next | fs_opt | [
-0.1583070307970047,
0.09616325795650482,
-0.477638840675354,
0.14518441259860992,
0.2847558856010437,
0.2563442587852478,
0.7872010469436646,
0.508100152015686,
-0.2596701383590698,
0.16140535473823547,
0.11355996876955032,
0.08688719570636749,
-0.17907856404781342,
0.1543744057416916,
... |
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 | [
0.0057786740362644196,
0.38384944200515747,
0.6570438146591187,
-0.12364490330219269,
-0.5699990391731262,
0.0020001009106636047,
0.28726714849472046,
0.7171299457550049,
0.4996190667152405,
0.5089876055717468,
0.16831696033477783,
-0.26753777265548706,
0.34183648228645325,
-0.647067606449... |
Given the task definition and input, reply with output. In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to worl... | 0 | 5 | NIv2 | task1541_agnews_classification | zs_opt | [
-0.6696810722351074,
0.7535357475280762,
-0.19674071669578552,
-0.036050476133823395,
-0.4447113275527954,
-0.05985260009765625,
0.5697500109672546,
0.6329082250595093,
0.10457897186279297,
0.2831345200538635,
-0.15588858723640442,
0.5958670377731323,
-0.7816022634506226,
-0.14749553799629... |
Instructions: Given a passage, write a short incorrect summary based on the passage.
Input: sportswear maker adidas ag said wednesday its second-quarter net profit fell ## percent as currency effects and tough competition weighed on earnings , but hopes of an improvement over the rest of the year helped the company 's ... | new gm worries about regaining consumer confidence | 3 | NIv2 | task1579_gigaword_incorrect_summarization | zs_opt | [
-0.44681185483932495,
0.6482936143875122,
-0.31057000160217285,
0.029143836349248886,
-0.5414119958877563,
-0.27694207429885864,
-0.8206006288528442,
0.15985539555549622,
-0.14873334765434265,
0.38793787360191345,
-0.4363749623298645,
-0.4300496280193329,
-0.5413974523544312,
-0.5960758924... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
One example is below.
Q: Context: Our praye... | yes | 9 | NIv2 | task242_tweetqa_classification | fs_opt | [
0.7622367739677429,
-0.14758744835853577,
-0.29953211545944214,
-0.11110906302928925,
0.4171473979949951,
-0.5230501890182495,
0.5423558354377747,
1.03084397315979,
-0.07580503821372986,
-0.24213045835494995,
-0.14870291948318481,
0.7000200748443604,
-0.16512545943260193,
0.136072337627410... |
Detailed Instructions: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Q: This collection of sentences and catch phrases is VERY weak on technical details and VERY heavy on the diatribe. In several instances, it is down right incorrect when referencing his... | Negative | 9 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.2958833575248718,
0.08570830523967743,
0.08717832714319229,
-0.6992002129554749,
0.1964302659034729,
-0.2673315703868866,
1.0875978469848633,
0.20966041088104248,
0.1059446707367897,
0.8021112084388733,
-0.540779709815979,
-0.5970277786254883,
-0.1974117010831833,
-0.19050748646259308,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: disagree or agree. Classify the comment as disagree if it is likely to r... | Agree | 0 | NIv2 | task324_jigsaw_classification_disagree | fs_opt | [
-0.44492000341415405,
0.3736684322357178,
-0.17025047540664673,
0.6161518692970276,
-0.3297664523124695,
-0.6556997299194336,
0.7331369519233704,
0.40703868865966797,
0.1357998251914978,
0.03722940385341644,
0.2449437528848648,
0.17264868319034576,
-0.294140100479126,
-0.12189921736717224,... |
You will be given a definition of a task first, then some input of the task.
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
Wow, I like to know about Indiana counties and statistical... | The Governor who also serves as the chief state executive has the authority to manage the government as established in the Constitution of Indiana. | 1 | NIv2 | task576_curiosity_dialogs_answer_generation | zs_opt | [
-0.1451438069343567,
0.5829606056213379,
0.15781432390213013,
0.19828060269355774,
0.027971165254712105,
-0.1368473768234253,
0.33996009826660156,
0.7445182800292969,
-0.27337950468063354,
-0.1094408854842186,
-0.5038861036300659,
-0.5636393427848816,
-0.0916658490896225,
-0.01873600855469... |
Part 1. Definition
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
Part 2. Example
M: I am considering... | Modeling for a world-famous Italian company. | 7 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
0.021869877353310585,
0.03778362274169922,
-0.548006534576416,
-0.11991029232740402,
0.5337340831756592,
0.16525259613990784,
0.06829306483268738,
0.7133610844612122,
0.22213080525398254,
0.3719843626022339,
-0.19923698902130127,
1.0181856155395508,
-0.42748406529426575,
0.1538164615631103... |
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creati... | What is another word for a thin definition?
| 5 | NIv2 | task074_squad1.1_question_generation | fs_opt | [
0.01514274999499321,
0.635906457901001,
0.062399812042713165,
-0.0942346528172493,
-0.18908511102199554,
0.005817624740302563,
0.40205246210098267,
0.5936516523361206,
-0.41317903995513916,
-0.23966163396835327,
-0.27423229813575745,
0.05022742599248886,
-0.34590739011764526,
0.55216360092... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
One example is below.
Q: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is ... | negative | 9 | NIv2 | task284_imdb_classification | fs_opt | [
0.3852926194667816,
0.4901059865951538,
-0.33603766560554504,
0.2689211368560791,
0.4114334285259247,
-0.14745871722698212,
0.9688944220542908,
1.002328872680664,
-0.06024559959769249,
-0.031687796115875244,
-0.6107614636421204,
0.40069296956062317,
-0.613703727722168,
-0.01647545769810676... |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
--------
Que... | [18, -52, -16, 74, 8]
| 7 | NIv2 | task369_synthetic_remove_odds | fs_opt | [
-0.5475780963897705,
0.366865336894989,
0.09594617784023285,
-0.6752556562423706,
-0.214251309633255,
0.1053372249007225,
0.9583731889724731,
0.26292654871940613,
-0.1643955260515213,
0.17748066782951355,
-0.9955488443374634,
-0.401779443025589,
0.04499020427465439,
-0.3555353581905365,
... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
uUaW
Output: | W | 1 | NIv2 | task365_synthetic_remove_vowels | zs_opt | [
0.4581068456172943,
0.8022712469100952,
-0.20577409863471985,
-0.3117329180240631,
0.7043220400810242,
-0.366708368062973,
0.8356246948242188,
0.6955722570419312,
0.07458026707172394,
-0.03553236275911331,
0.06500882655382156,
-0.24311047792434692,
0.22365203499794006,
-0.8137017488479614,... |
A text is given in Urdu. Translate it from the Urdu language to the Marathi language. The translation must not omit or add information to the original sentence.
وزیراعظم 20 کلو میٹر طویل ہِجلی-نرائن گڑھ تیسری لائن کو بھی قوم کو معنون کریں گے۔
ते 20 किलोमीटर लांबीचा हिजली-नारायणगड रस्ता राष्ट्राला अर्पण करतील.
پاور کن... | शांतता स्थापित करण्याच्या क्षेत्रात सहकार्य मजबूत करण्याबरोबरच तिसऱ्या देशात क्षमता उभारणींवरही विशेष लक्ष देण्याबाबत आमची सहमती झाली.
| 0 | NIv2 | task990_pib_translation_urdu_marathi | fs_opt | [
-0.6616181135177612,
0.2631404399871826,
0.3399764895439148,
-0.0069832089357078075,
-0.3837665915489197,
-0.2199617475271225,
1.1672439575195312,
-0.018110640347003937,
-0.23822173476219177,
-0.40320414304733276,
-0.44606220722198486,
0.2888945937156677,
0.3504050374031067,
-0.42456197738... |
Q: In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Context: Aubrey read a script for the cl... | True | 7 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.369475781917572,
0.3170613646507263,
0.20659282803535461,
-0.17405855655670166,
0.2279493510723114,
-0.8927167057991028,
1.1456303596496582,
0.3707892596721649,
0.4696413278579712,
-0.09686338901519775,
-0.19789457321166992,
-0.3262144923210144,
-0.14681100845336914,
0.1502004861831665,... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Q: Nazywa się maska na twarz i musicie po prostu nosić ją codziennie podczas sezonu grypowego, idąc do szkoły czy do pracy "". Zrobilibyśmy to?
A: | ماسک صورت نام داره ، و کل کاری که باید انجام بدید این است که هر روز در فصل سرماخوردگی و آنفولانزا روی صورتتون بگذارید موقع رفتن به مدرسه و وقتی سرکار می رید. » آیا این کار رو می کنیم ؟ | 9 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
0.24921727180480957,
0.82097989320755,
-0.02569907158613205,
-0.8154034614562988,
-0.2157045155763626,
-1.213714599609375,
0.00843329168856144,
0.5591487884521484,
0.457671195268631,
0.279511958360672,
-0.6054398417472839,
0.5754563212394714,
-0.3939869999885559,
-0.2544049024581909,
0.8... |
Given the task definition and input, reply with output. In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples a... | It was one of eleven films chosen as Best of the Fest at the Santa Barbara International Film Festival. | 5 | NIv2 | task1409_dart_text_generation | zs_opt | [
-0.37364205718040466,
0.6621624231338501,
-0.478542685508728,
0.33106571435928345,
-0.4988093674182892,
0.11190029233694077,
0.034404948353767395,
-0.18053346872329712,
-0.030323902145028114,
-0.23027993738651276,
-0.8472855687141418,
0.35640451312065125,
-0.2348642200231552,
-0.0160997994... |
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Input: "" Fez-me desejar juntar as minhas forças "ao saber acumulado do conhecimento natural." Também moldou o método científico de Darwin tal como aquele usado pelos seus pares.
Output: | طوری که باعث شد بخواهم به انبار انباشته ی عظیم دانش طبیعی ام بیفزایم. » همچنین روش علمی داروین را شکل داد ، همینطور آنچه که توسط هم رده هایش استفاده شد. | 2 | NIv2 | task1282_ted_translation_pt_fa | zs_opt | [
-0.6872506141662598,
0.45602357387542725,
-0.3933183550834656,
-0.9414424300193787,
-0.982799768447876,
-0.285848468542099,
0.4264708161354065,
0.3635616600513458,
0.7175810933113098,
0.016905318945646286,
-1.0745973587036133,
0.2617871165275574,
-1.3971240520477295,
-0.032096922397613525,... |
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.
--------
Question: Abstract: We compared the mycelial to yeast transitions of the Downs strain of Histoplasma capsulatum (low level of vi... | Aged
| 7 | NIv2 | task620_ohsumed_medical_subject_headings_answer_generation | fs_opt | [
0.5930920839309692,
-0.563861608505249,
-0.5468422174453735,
0.6283594965934753,
0.6227012872695923,
-0.7302955985069275,
-0.06617127358913422,
0.6542217135429382,
-0.3575761318206787,
0.24443645775318146,
-0.36399808526039124,
0.19026301801204681,
-0.4854651689529419,
0.21366241574287415,... |
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Example Input: [17, -32, -52, 91, -74, 75, 55]
Example Output: [17, -32, -5... | [-7, -77, -17, -91]
| 3 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
-0.48106956481933594,
-0.1744820475578308,
-0.6027886271476746,
-0.22766046226024628,
0.3664645254611969,
0.34776896238327026,
0.8949247598648071,
0.4051346778869629,
-0.3974766433238983,
0.25842392444610596,
-0.5981669425964355,
0.1604863703250885,
-0.051056236028671265,
-0.67403966188430... |
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.
--------
Question: claim: There should be a presumption in favo... | support
| 7 | NIv2 | task738_perspectrum_classification | fs_opt | [
-0.6062710285186768,
0.6145843267440796,
0.25393715500831604,
-0.291110634803772,
0.00883772224187851,
-0.06239098310470581,
0.8592520952224731,
0.652715802192688,
0.23114775121212006,
0.07021956145763397,
-0.5278446078300476,
0.06274616718292236,
-0.4642598330974579,
0.021570133045315742,... |
Q: 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., "sympatheti... | Sentence 1: PersonX accompanied PersonY when he went to the small claims court to defend himself because _ knows inside well.
Sentence 2: PersonX accompanied PersonY when he went to the small claims court to defend himself because _ does not know inside well. | 7 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.020402777940034866,
0.5210136771202087,
0.2036667764186859,
-0.38055312633514404,
0.17525702714920044,
-0.4107910990715027,
0.7103316187858582,
0.9039989709854126,
-0.03220060467720032,
-0.49048441648483276,
-0.11721508204936981,
-0.05732252448797226,
-0.6178950667381287,
-0.109112888574... |
Definition: In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Input: Sentence: 'three women under an umbrella at an outdoor function'. Reverse all words of length '8' in the given sentenc... | three women under an allerbmu at an outdoor noitcnuf | 2 | NIv2 | task378_reverse_words_of_given_length | zs_opt | [
-0.3427464962005615,
0.3033019006252289,
-0.45681899785995483,
-0.5118823647499084,
-0.11321315169334412,
-0.13426661491394043,
-0.16888755559921265,
0.4729486405849457,
0.45434027910232544,
-0.31476539373397827,
-1.6792144775390625,
0.003583186771720648,
-0.4737709164619446,
-0.0064084855... |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate yo... | Response 2
| 6 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.6158137321472168,
0.6476768851280212,
0.3602660298347473,
-0.18629516661167145,
-0.07400187849998474,
-1.1889638900756836,
0.27917933464050293,
0.7434824705123901,
-0.0029879375360906124,
-0.08423066884279251,
-0.697743833065033,
0.09380610287189484,
-0.7929723858833313,
0.22271323204040... |
Detailed Instructions: Given a paragraph from a Wikipedia article about some topic, and a question related to the topic, determine whether the question is answerable from the paragraph. If the question is answerable, answer "True", otherwise, answer "False".
Q: The aircraft carrier dramatically changed naval combat in ... | False | 9 | NIv2 | task1640_aqa1.0_answerable_unanswerable_question_classification | zs_opt | [
0.24739012122154236,
-0.14129161834716797,
-0.02180274948477745,
-0.2817433178424835,
0.28953656554222107,
-0.20007580518722534,
0.6135145425796509,
1.0728739500045776,
0.12041912972927094,
0.07388530671596527,
-0.402316153049469,
-0.12342801690101624,
-0.6279505491256714,
0.05880230665206... |
In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a d... | dentist doing a dental treatment on a patient | 0 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.5103849172592163,
0.31651586294174194,
-0.3102036416530609,
-0.5864339470863342,
-0.35828861594200134,
-0.5621777772903442,
0.38406136631965637,
0.8008087277412415,
0.29197871685028076,
-0.047198109328746796,
-0.24262043833732605,
0.09159484505653381,
0.17347079515457153,
0.214585155248... |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post co... | NOT
| 3 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-0.6945847868919373,
-0.001138818683102727,
0.22461417317390442,
0.6942883729934692,
-0.08242933452129364,
-0.5457119941711426,
0.18748486042022705,
0.7244648933410645,
0.5059035420417786,
0.42354464530944824,
-0.4080173373222351,
-0.43989187479019165,
-0.27074018120765686,
-0.886025667190... |
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change any ... | PersonX was trying to spray PersonY with the hose while they were washing the car but _ was the one who got in trouble by their parents. | 3 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
0.9249733686447144,
0.21134914457798004,
-0.2700241208076477,
-0.13369905948638916,
0.2498796284198761,
-1.1001652479171753,
1.2891278266906738,
0.6588670015335083,
-0.6207857728004456,
-0.5661889314651489,
-0.2148904949426651,
0.15529951453208923,
-0.6749692559242249,
0.1091800332069397,
... |
Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong) and NOBODY ... | AUTHOR
| 7 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | fs_opt | [
0.416040301322937,
0.021110741421580315,
0.09009361267089844,
0.06881637126207352,
0.09874662756919861,
-0.022650256752967834,
0.5018647313117981,
1.2594739198684692,
0.2237643301486969,
-0.17487075924873352,
0.0009662006050348282,
0.3970602750778198,
-0.9401415586471558,
0.074444591999053... |
Given the task definition and input, reply with output. The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Topic: We should prohi... | False | 5 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
-0.31285956501960754,
0.8438925743103027,
-0.1649717092514038,
0.09808572381734848,
-0.07725679129362106,
-0.2695547938346863,
0.02810177579522133,
0.44216054677963257,
0.4762094020843506,
-0.04134605452418327,
-0.5587441921234131,
0.22008202970027924,
-0.34662389755249023,
-0.109265409409... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
One example is below.
Q: Brindo soluciones. Estoy muy feliz.
A: Udostępniam rozwiązanie. Jestem bardzo szczęśliwy.
Rationale: The Spanish sentence is correctly translated into Polish, because the meaning is preserved.
Q: Las... | Ekstrawertycy kłamią częściej niż introwertycy. | 9 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-0.7959480881690979,
0.9196367263793945,
-0.37272563576698303,
-0.4818730056285858,
-0.4368039667606354,
-0.9705187082290649,
1.0469942092895508,
-0.27703577280044556,
0.47950565814971924,
-0.7243127822875977,
-0.5993990898132324,
0.6361890435218811,
-0.6143544316291809,
0.4469324946403503... |
Teacher: 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.
Teacher: Now, understand t... | Petty Officer Thanisson | 2 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.07285475730895996,
0.09088343381881714,
-0.5340330004692078,
-0.3512611389160156,
-0.5825998783111572,
-0.6316503286361694,
0.7800338864326477,
0.1541668325662613,
-0.08808846771717072,
0.059434130787849426,
-0.03076886013150215,
-0.2633897662162781,
-0.5800585150718689,
-0.818602919578... |
You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.
--------
Question: Patrick jogged to Aaron 's house... | 16
| 7 | NIv2 | task868_mawps_singleop_question_answering | fs_opt | [
0.8739101886749268,
0.9294625520706177,
-0.49463558197021484,
-0.5162639617919922,
-0.6995561718940735,
-0.18250223994255066,
0.519862711429596,
0.34430840611457825,
-0.15791282057762146,
0.1448984146118164,
-0.3601856231689453,
0.22640517354011536,
-0.617326021194458,
0.2008933126926422,
... |
TASK DEFINITION: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
PROBLEM: ['N', 'O', 'V', 'J', 'r', 'V', 'X', '8795', '9969', '491... | 14
| 8 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
0.0723327100276947,
0.35359951853752136,
-0.48604297637939453,
-0.24273596704006195,
-0.06615117192268372,
0.1516280174255371,
0.48165398836135864,
0.5403146743774414,
-0.2656039297580719,
0.5337478518486023,
-0.580809473991394,
0.08669110387563705,
0.06992888450622559,
0.1441853642463684,... |
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Example: Is AUTHOR wrong in the post ? POST : Pretty much was hanging out with two friends. I was ... | Solution: yes | 5 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.5820411443710327,
-0.1078532412648201,
-0.17471455037593842,
0.20248600840568542,
0.03280957043170929,
-0.055531129240989685,
0.7884373664855957,
0.7403141260147095,
0.12809091806411743,
-0.056475792080163956,
-0.13849903643131256,
0.5975349545478821,
-0.8176794052124023,
-0.319934993982... |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using an... | He almost ran over a turtle. | 9 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.14776697754859924,
0.4895975589752197,
-0.13981342315673828,
-0.36336416006088257,
-0.3978418707847595,
-0.011310575529932976,
0.2124444991350174,
0.7408458590507507,
-0.46137315034866333,
-0.3483293056488037,
-0.6636921763420105,
-0.022269587963819504,
0.07927177846431732,
-0.263157010... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Q: Sentence ... | N | 4 | NIv2 | task190_snli_classification | zs_opt | [
-0.21735155582427979,
0.7327327728271484,
0.07920228689908981,
-0.1460513174533844,
-0.41886255145072937,
-0.8741269111633301,
0.3148425221443176,
0.2859593331813812,
0.13595543801784515,
0.0578753761947155,
-0.11507213115692139,
-0.21467651426792145,
-0.6047574281692505,
-0.01363166328519... |
instruction:
You are given a statement written in Malayalam. 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 .
question:
Statement: യു.ഏ.ഈയുടെ വിസ്തീർണ്ണം 83,600 ചതുരശ്ര കിലോമീറ്ററുകളാണ് (ദ്വീപുകൾ അടക്കം). യു.ഏ... | തിരുവനന്തപുരം
| 9 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.25212562084198,
0.7569509744644165,
-0.21483385562896729,
-0.1743209809064865,
0.1741204559803009,
-0.49908447265625,
0.25002139806747437,
1.0236483812332153,
-0.42978060245513916,
0.23335659503936768,
0.04126528650522232,
0.36564773321151733,
-0.6734434366226196,
-0.29344505071640015,
... |
In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woman" and "m... | Where does this conversation take place? (A) In a classroom. (B) In a restaurant. (C) On the phone,
| 6 | NIv2 | task246_dream_question_generation | fs_opt | [
0.9152345657348633,
0.23247554898262024,
-0.5725669264793396,
-0.2607710361480713,
0.5044150352478027,
-0.2878779172897339,
0.7911924719810486,
0.6602359414100647,
0.4475884437561035,
-0.32923904061317444,
-0.4586089849472046,
0.4061616063117981,
0.34913015365600586,
0.09730091691017151,
... |
Definition: A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with the ... | 26 | 2 | NIv2 | task090_equation_learner_algebra | zs_opt | [
0.38143396377563477,
0.858841598033905,
-0.6356089115142822,
-0.7523225545883179,
-0.44359856843948364,
-0.5160028338432312,
1.097361445426941,
0.6524136066436768,
0.04697169363498688,
-0.9195665121078491,
-0.5959933400154114,
0.9657881855964661,
-0.9471756815910339,
0.05693589895963669,
... |
Part 1. Definition
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Part 2. Example
For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe P... | positive | 7 | NIv2 | task284_imdb_classification | fs_opt | [
0.16110831499099731,
-0.33313509821891785,
-0.46877679228782654,
-0.11279557645320892,
0.3692425489425659,
-0.7731137871742249,
0.876093327999115,
0.43870601058006287,
-0.19008004665374756,
-0.31539106369018555,
-0.8442243337631226,
0.04461338371038437,
-0.7205359935760498,
-0.038808502256... |
Adverse drug reactions are appreciably harmful or unpleasant reactions resulting from an intervention related to the use of medical products, which predicts hazard from future administration and warrants prevention or specific treatment, or alteration of the dosage regimen, or withdrawal of the product. Given medical c... | adverse drug event | 9 | NIv2 | task1495_adverse_drug_event_classification | fs_opt | [
0.29344457387924194,
0.1303032785654068,
-0.5151596069335938,
-0.7771953344345093,
-0.5640608072280884,
-0.3613838851451874,
0.4835258722305298,
0.9886255264282227,
0.9653950333595276,
0.5044736266136169,
-0.6194508671760559,
0.5144025087356567,
-0.15991522371768951,
-0.23131981492042542,
... |
Detailed Instructions: You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about ... | Location | 9 | NIv2 | task1289_trec_classification | zs_opt | [
-0.6214776635169983,
-0.5224879384040833,
0.13819751143455505,
-0.3213687241077423,
0.2834054231643677,
-0.5879485607147217,
-0.17323926091194153,
0.01473724003881216,
0.09117738902568817,
0.14672598242759705,
0.020383965224027634,
-0.04020383954048157,
-0.07415011525154114,
0.381812632083... |
Teacher: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion',... | No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion | 2 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.22669973969459534,
0.05607723444700241,
-0.40496987104415894,
-0.9287532567977905,
-0.17300504446029663,
-0.7680469751358032,
1.0169405937194824,
0.2254226803779602,
-0.13119933009147644,
-0.26760292053222656,
-0.3987094461917877,
-0.5279761552810669,
-0.9440387487411499,
-0.012465326115... |
Given the task definition and input, reply with output. You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: ಮೈಕೆಲ್ ಲೋಬೊ ಇವರು <MASK>, ಮಂಗಳೂರಿನ ಕ್ಯಾಥೊಲಿಕ್ ಮ... | ಮಂಗಳೂರಿನಲ್ಲಿ | 5 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | zs_opt | [
-0.20060241222381592,
0.5051186084747314,
-0.46938011050224304,
0.029600851237773895,
-0.029361406341195107,
-0.05611607804894447,
0.18114984035491943,
0.7560468316078186,
0.8041582107543945,
-0.3047959506511688,
-0.21059571206569672,
0.6755821704864502,
-0.9839088320732117,
-0.22565442323... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Ex Input:
لكني أيضاً وعلى مر السنين عملت أكثر وأكثر في القضايا الاجتماعية
Ex Output:
אבל, במהלך השנים, גם עסקתי יותר ויותר בסוגיות חברתיות.
Ex Input:
الحمد الله ، فالعلماء مثل د. بيج من معهد Whitehead للأبحاث الطبية الحيوي... | לקחתי אותם לים של יפן, שם הם פגשו מדוזות ענק.
| 1 | NIv2 | task1233_ted_translation_ar_he | fs_opt | [
-0.6325277090072632,
-0.4445912539958954,
-0.5499894618988037,
-0.733901858329773,
-0.10062319040298462,
-0.14727027714252472,
-0.06214524805545807,
0.5118611454963684,
0.2987106442451477,
-0.1310015618801117,
-0.7497109174728394,
0.7784208059310913,
-1.0822175741195679,
0.263359010219574,... |
Detailed Instructions: In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Q: Sentence1: Michael likes to go to the beach but has trouble swimming. Sentence2: D... | His friends helped him back to the shore. | 9 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.3378083109855652,
1.1864042282104492,
0.05901546776294708,
-1.527095913887024,
-0.40977978706359863,
-0.4246361255645752,
0.6816978454589844,
0.058743201196193695,
0.35376816987991333,
0.01482403464615345,
-0.28130587935447693,
-0.18061721324920654,
-0.20992892980575562,
0.0735937058925... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Ex Input:
Vexamos a outro super-director, un super-director alemán, Herbert von Karajan, por favor.
Ex Output:
ドイツのもう1 人のスーパー指揮者ヘルベルトフォンカラヤンを見てみましょう
Ex Input:
Así que por exemplo, aquí hai alguén que emprega a ferram... | このカメラを見つけました写真を現像したので持ち主の方がいらしたらお返しします ” この写真が持ち主の手に戻ることはありませんでしたがこの秘密は多くの人に影響することになりました最初はカナダのマッティという学生です
| 1 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.8509763479232788,
-0.3817283809185028,
-0.7030872106552124,
-0.47645142674446106,
-0.15444372594356537,
-0.5208880305290222,
1.1942342519760132,
0.25686633586883545,
-0.21604818105697632,
-0.5111330151557922,
-0.32300999760627747,
0.45738279819488525,
-0.7775242924690247,
0.498937070369... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjec... | Punc Pron V Adv N Pron Art Adj N Prep Art N V Punc | 8 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | zs_opt | [
-0.6948875188827515,
0.976393461227417,
-0.23429743945598602,
-0.09352664649486542,
-0.5787052512168884,
0.044819340109825134,
0.4469037353992462,
-0.022539876401424408,
0.5474703311920166,
-0.6251097917556763,
-0.6088398098945618,
0.7759313583374023,
-0.4422992169857025,
0.27236407995224,... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
[EX Q]: אך כאשר 2,000 תלמידים נותנים את אותה תשובה שגויה, קשה לפספס את זה.
[EX A]: Mas, quando 2000 alunos dão a mesma resposta errada, é um pouco difícil não notar.
[EX Q]: אך אז חשבתי, אוי, אני נותן לעצמי מסרים סותרים.
... | Quero convidar-vos agora para virem comigo na minha viagem de reeducação e descoberta.
| 6 | NIv2 | task1114_ted_translation_he_pt | fs_opt | [
-1.390516757965088,
0.032942675054073334,
-0.06975945830345154,
-0.5506965517997742,
-0.3667263388633728,
-0.09797576814889908,
0.4590035378932953,
-0.27076455950737,
0.41197967529296875,
-0.6577422618865967,
-0.16275402903556824,
-0.011647816747426987,
-0.48740988969802856,
0.197113618254... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
لذا فالمنظمات مثل أطباء للمسئولية الإجتماعية ، حوالي عام 1979 ، بدأوا بقول هذا كثيراً على الملأ.
A: | Então organizações como "" Médicos para a Responsabilidade Social "", cerca de 1979, começaram a dizer isto publicamente. | 7 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
-0.45661652088165283,
0.8313769102096558,
0.16425073146820068,
-1.310816764831543,
-0.2766306400299072,
0.3277435898780823,
0.10202539712190628,
1.1556427478790283,
0.5911492109298706,
-0.5475408434867859,
-0.5297620892524719,
0.02284182235598564,
-0.7118188142776489,
0.5403158664703369,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
#CNN really needs to get out... | Angry | 0 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | fs_opt | [
-1.3637328147888184,
0.24667930603027344,
0.5267922878265381,
0.25214093923568726,
0.02741195820271969,
-0.4883345663547516,
0.36296117305755615,
0.616523265838623,
0.383618026971817,
0.44401487708091736,
0.15322986245155334,
-0.053729284554719925,
-0.4879772365093231,
-0.02284479700028896... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Ex Input:
Ci sarà un satellite chiamato TESS che scoprirà pianeti al di fuori del nostro sistema solare.
Ex Output:
Haberá un satélite chamado TESS que vai descubrir planetas fóra do noso sistema solar.
Ex Input:
E non... | A raza non pode substituír estas importantes variables clínicas sen que isto supoña un sacrificio do benestar do doente.
| 1 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.9511063694953918,
0.6822555661201477,
-0.8594417572021484,
0.17359453439712524,
-0.551895797252655,
-1.2537277936935425,
0.031138258054852486,
0.5728106498718262,
0.1689068078994751,
-0.04280322045087814,
-0.8209616541862488,
0.9814488887786865,
-0.09589395672082901,
0.08313681185245514... |
Detailed Instructions: Given a sentence in Dutch, generate a new Dutch 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 ... | U bent hoopvol om een wachtkamer voor artsen te vinden. | 8 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.4116664230823517,
0.6433529853820801,
-0.2183067351579666,
-0.020579583942890167,
-0.1604163944721222,
-0.23035651445388794,
0.35819509625434875,
0.3000180423259735,
1.0379362106323242,
-0.4686282277107239,
-0.44167283177375793,
0.998262345790863,
-0.03866138681769371,
0.321116089820861... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | 9 | NIv2 | task1210_atomic_classification_madeupof | zs_opt | [
0.33234453201293945,
0.27411752939224243,
-0.2696106433868408,
0.17813247442245483,
-0.2774731516838074,
-1.3166155815124512,
1.187408447265625,
0.37122178077697754,
-0.36417633295059204,
-0.6027927994728088,
-0.2221185714006424,
-0.24568967521190643,
-0.6433165073394775,
0.031659044325351... |
You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be associat... | More people bought the music CD than bought the album because the _ was newer. | 0 | NIv2 | task031_winogrande_question_generation_object | zs_opt | [
0.8046510219573975,
0.5418205261230469,
0.2330760359764099,
0.277427077293396,
0.4979240298271179,
-0.8468990325927734,
0.4938674569129944,
1.218338966369629,
-0.3921770751476288,
-0.6353525519371033,
-0.42888587713241577,
0.131308451294899,
-0.3564322590827942,
-0.0017687883228063583,
0... |
Definition: In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to ... | It is very clear what the main contributor is. | 2 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-1.2039598226547241,
0.6093323230743408,
-0.03538345918059349,
0.06915444880723953,
0.13716328144073486,
-0.03698542341589928,
0.38716551661491394,
-0.03240375593304634,
0.3274517059326172,
-0.22738488018512726,
-0.2248823344707489,
0.24121588468551636,
-0.6143377423286438,
0.2168290168046... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of th... | [-518400, -22440, -4576, -33135, 3042, 3075, 200, 980, 13986] | 1 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.13236525654792786,
0.21014989912509918,
-0.7434214949607849,
0.009791798889636993,
0.012818042188882828,
-0.03238990902900696,
1.2372503280639648,
-0.016920700669288635,
-0.04577556997537613,
-0.0724114179611206,
-1.106623649597168,
-0.1834794282913208,
-0.5183790922164917,
-0.386701583... |
Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability o... | Nếu bạn muốn trả tiền mặt sau đó bạn nên có hóa đơn hóa đơn. | 4 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
0.137557253241539,
0.27823859453201294,
-0.050806716084480286,
-0.25408780574798584,
-0.37317776679992676,
-0.571469247341156,
0.9286825060844421,
1.557591438293457,
-0.018137173727154732,
-0.5106369853019714,
-0.261654794216156,
0.2673708200454712,
-0.44000154733657837,
-0.030105721205472... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | The table contains the assumptions.
| 0 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.6716699004173279,
0.1540483832359314,
-0.2881787419319153,
0.4614887535572052,
0.24540431797504425,
-0.5180555582046509,
-0.2933497726917267,
0.6854325532913208,
-0.08314602822065353,
-0.14652112126350403,
0.19644354283809662,
-0.23100996017456055,
-0.3815734386444092,
0.098971381783485... |
Definition: You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Input: Sentence1: I can suggest the Castle Galleries in the city centre. There is no entrance fee. Sentence2: I need it for 4 people, we're staying 2 nights starting Thursday. Se... | Answer: (B) System | 2 | NIv2 | task638_multi_woz_classification | zs_opt | [
1.066174864768982,
0.5568070411682129,
-0.6971834897994995,
-0.4196193814277649,
0.7532333135604858,
-1.265027403831482,
0.8333525657653809,
1.3837600946426392,
-0.19106367230415344,
-0.03377529978752136,
-0.05673781782388687,
0.5890241861343384,
-0.4532134234905243,
0.1725015640258789,
... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes
| 1 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
0.7271655797958374,
-0.005929779261350632,
0.1348314732313156,
-0.11393822729587555,
0.10865212976932526,
-0.9383503794670105,
1.188092827796936,
1.077972412109375,
-0.8909561634063721,
-0.1343134045600891,
-0.7190715074539185,
-0.09913517534732819,
-0.44087234139442444,
0.0512268096208572... |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Let me give you an example: Text: Cheval de soins pour les enfants de 3 ans!
The answer to this example can be: French
Here is why: The given text is in French language
OK... | Somali | 8 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.3571193218231201,
1.256331443786621,
0.44606825709342957,
-0.4855504631996155,
0.15622782707214355,
-0.5864220857620239,
0.07588762044906616,
0.8643819093704224,
0.30207666754722595,
-0.018940996378660202,
-0.16385428607463837,
0.5312216281890869,
-0.3387204706668854,
0.09474847465753555... |
You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: ಜಾಗತಿಕವಾಗಿ ಅಣ್ವಸ್ತ್ರಗಳನ್ನು ನಿಷೇಧಿಸುವ ಮಹತ್ವದ ಒಪ್ಪಂದವನ್ನು ವಿಶ್ವಸಂಸ್ಥೆ ಅಂಗೀಕರಿಸಿದೆ. ಆದರೆ, <MASK>, ಪಾಕಿಸ್ತ... | ಭಾರತ | 0 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | zs_opt | [
0.7299550771713257,
1.0062626600265503,
-0.033586181700229645,
-0.08034350723028183,
-0.08001509308815002,
-0.9530420303344727,
0.3632100224494934,
-0.007246838882565498,
0.00786403939127922,
0.48958903551101685,
-0.4886431396007538,
-0.08274848759174347,
-0.25458309054374695,
-0.110483855... |
Translate from English to Hindi.
Q: Wait a minute!
A: | एक मिनट रुको! | 4 | NIv2 | task1329_open_subtitles_en_hi_translation | zs_opt | [
0.9487823247909546,
0.6732710003852844,
-0.1818077266216278,
-0.5184515714645386,
0.0031250575557351112,
-0.46713685989379883,
0.5253041386604309,
-0.33121415972709656,
0.5969893336296082,
-0.2509719729423523,
0.5705081820487976,
-0.026563793420791626,
-0.04840141534805298,
0.2138160914182... |
Teacher:Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Teacher: Now, understand the problem? Solve this instance: English sentence: The journal P.S. Political Science had a symposium on big data, causal inference, and formal theory, and ... | Akwụkw akụk bụ PS Political Science nwere nkwurịta okwu banyere nnukwu data, ntinye uche, na ihe mụmụ, na Clark and Golder (2015) achikota onyinye bụla. | 6 | NIv2 | task452_opus_paracrawl_en_ig_translation | zs_opt | [
-0.9086402654647827,
-0.1842382252216339,
-0.20925095677375793,
-0.34008508920669556,
0.20604977011680603,
-0.6733757257461548,
0.7219741344451904,
-0.612067461013794,
0.2294681966304779,
0.33034682273864746,
0.16858261823654175,
0.24469193816184998,
-0.06483694911003113,
0.086779609322547... |
Q: You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify which one of following five services the sentence is related to - Media, Travel, Flights, Buses, RideSharing
I wish to see some attractions. I wish to see a Museum.
A: | Travel | 7 | NIv2 | task881_schema_guided_dstc8_classification | zs_opt | [
0.04553525149822235,
-0.013035052455961704,
0.02647292986512184,
0.40566587448120117,
-0.25150084495544434,
0.6441479921340942,
0.3256848454475403,
0.5114675760269165,
0.36926764249801636,
0.09919442981481552,
-0.09917590022087097,
-0.4717208743095398,
0.009687785059213638,
-0.057921968400... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal... | [-5.5, -74, -20.0, 21.5, -42, -6.5] | 9 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.22731781005859375,
0.8896089196205139,
-0.1765003204345703,
-0.11185729503631592,
0.08039939403533936,
-0.4495813846588135,
1.0061514377593994,
0.16565285623073578,
-0.45106711983680725,
0.27787142992019653,
-0.9895845055580139,
-0.33194780349731445,
-0.506161093711853,
-0.3562884330749... |
TASK DEFINITION: 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".
PROBLEM: While this process moved along, diplomacy continued its rounds. Direct pressure on th... | Yes
| 8 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.08445436507463455,
0.5665090084075928,
0.09435450285673141,
0.2551009953022003,
0.6574500799179077,
0.56293123960495,
1.017213225364685,
0.7309761047363281,
-0.14766354858875275,
0.568669319152832,
0.0586218424141407,
1.0222415924072266,
0.0002047717571258545,
0.1942274570465088,
-0.52... |
Teacher:You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, bec... | flower in blossom mesmerize the blue eyed girl look at her reflection touch the water ripple then something loom in the distance slowly swim the child watch bewilder do n't know what to do cry for help then the creature bite only her helpless cry remain | 6 | NIv2 | task1711_poki_text_generation | zs_opt | [
-0.8870123028755188,
1.443935751914978,
0.33675438165664673,
-1.1011509895324707,
-0.3891507089138031,
-0.045321106910705566,
0.21715936064720154,
0.7802062630653381,
0.32399845123291016,
-0.4367865025997162,
-0.3078881502151489,
0.2020387053489685,
-0.2490105926990509,
-0.2224992513656616... |
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Let me give you an example: i don't work i could take your shift i am a student
The answer to this example can be: other
Here is why: In this dialogue some... | other | 8 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-0.877984344959259,
0.5708456039428711,
0.47598010301589966,
-0.8002866506576538,
-0.17180033028125763,
-0.1810908019542694,
0.4184380769729614,
0.7626132965087891,
0.6785531640052795,
-0.05011296644806862,
0.10929559916257858,
-0.4212912619113922,
-0.5078063607215881,
-0.17846444249153137... |
Part 1. Definition
In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
Part 2. Example
['238', 'h', '92', 'U', '2799']
Answer: h, U
Explanation: Here, the alphabetical eleme... | K, c, s, m, B, C, G | 7 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | fs_opt | [
-0.10154876112937927,
0.54273521900177,
-0.4774484932422638,
-0.5753752589225769,
0.042774878442287445,
-0.41135498881340027,
0.8884567022323608,
-0.5982576608657837,
0.13562002778053284,
0.11206014454364777,
-0.7594258785247803,
-0.23436042666435242,
0.4054625630378723,
-0.170950889587402... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | 9 | NIv2 | task1210_atomic_classification_madeupof | zs_opt | [
0.41968342661857605,
0.7541211843490601,
0.0003541699843481183,
0.1760382056236267,
-0.4719249904155731,
-0.9087413549423218,
1.1342984437942505,
0.804495096206665,
-0.3372032046318054,
-0.15103638172149658,
0.1726701259613037,
-0.39996469020843506,
-0.24961361289024353,
0.2280596196651458... |
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 English. Your job is to translate the English sentence into Japanese.
And it was primarily because Kiribati realized that this was in their own self-interest to do this.
... | 複雑なウェブサイトを閲覧して 17回クリックして401 (k) プランに加入しようとはしないのです | 0 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.1901939958333969,
0.3746153712272644,
-0.3307250738143921,
-0.5148434042930603,
-0.31367218494415283,
-0.14828276634216309,
1.403831958770752,
-0.3009082078933716,
0.189420685172081,
0.1967996060848236,
0.18551774322986603,
-0.08268502354621887,
-0.4774768650531769,
0.3981267809867859,
... |
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Example: The severe acute respiratory syndrome (SARS) epidemic originating from China in 2002 was caused by a previously u... | Solution: Middle East Respiratory Syndrome Coronavirus Superspreading Event Involving 81 Persons, Korea 2015 | 5 | NIv2 | task1161_coda19_title_generation | fs_opt | [
0.4244329333305359,
0.16766934096813202,
-0.496889591217041,
0.10009363293647766,
0.6981461644172668,
0.2443055361509323,
0.32799413800239563,
1.040602445602417,
-0.21071264147758484,
0.9604487419128418,
-0.2727620005607605,
1.1748179197311401,
-0.22899547219276428,
0.444220632314682,
-0... |
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Un tatuaggio può segnare una nota per errori. | 9 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
-0.04448308050632477,
0.0919775664806366,
0.011578510515391827,
0.34674590826034546,
-0.23154057562351227,
-0.7671521902084351,
0.248163104057312,
1.3055742979049683,
-0.25374868512153625,
-0.1716948300600052,
-0.8205367922782898,
0.28569814562797546,
-0.3667958974838257,
0.335397362709045... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
אנחנו מקבלים מידע שגוי לא רק אם מתחקרים אותנו באופן מונחה, אלא גם אם אנו מדברים עם עדים אחרים שעלולים להזין אותנו במודע או לא במידע מוטעה, או אם א... | 私たちが誤情報に触れるのは誘導尋問をされるときだけではありません他の証人と話していて相手が意識的にあるいは何の気なしに言う ― 情報が誤っていることもありますまた経験していてもおかしくないことをメディアの報道を通じて見ることによっても私たちの記憶は歪められてしまう可能性があります | 1 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-0.8879913091659546,
-0.36956408619880676,
0.10170343518257141,
0.2960781455039978,
-0.32496923208236694,
-0.28171324729919434,
0.7204130291938782,
-0.05119319260120392,
0.20838917791843414,
-0.7837451696395874,
-0.4708976149559021,
-0.07168169319629669,
-0.705700159072876,
0.3382886350154... |
Detailed Instructions: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels ... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF... | 8 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.3300711512565613,
0.2672554552555084,
-0.05009172484278679,
-0.23132407665252686,
0.185389444231987,
-0.2943762540817261,
0.38485342264175415,
0.5078659653663635,
0.08813557773828506,
0.27343639731407166,
-0.01338527724146843,
-0.06491916626691818,
-0.287651002407074,
-0.0979463309049606... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | Bob brought the notebook home and forgot the work he had to do. | 8 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.5596434473991394,
0.1572132408618927,
-0.631030797958374,
0.19580373167991638,
0.1683761477470398,
-0.36307135224342346,
0.5603796243667603,
0.5239920616149902,
-0.46104615926742554,
-0.6028021574020386,
-0.3883730173110962,
0.6597378849983215,
-0.6039837002754211,
-0.36994752287864685,
... |
Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a specific ... | COORD | 8 | NIv2 | task1505_root09_semantic_relation_classification | fs_opt | [
-0.8051705360412598,
0.33842402696609497,
0.15120425820350647,
0.06270365417003632,
-0.45814943313598633,
-0.14158295094966888,
0.10387467592954636,
0.2577955424785614,
-0.010154478251934052,
-0.19748905301094055,
-0.6591500639915466,
-0.3427927494049072,
-0.5877330303192139,
0.66596949100... |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
One example: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Answer: Find somewhere to go
Solution is here: W... | What will Others want to do next? | 6 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
0.3755744695663452,
1.0556198358535767,
0.2888913154602051,
0.007944701239466667,
0.04807371646165848,
-0.8812015652656555,
0.29215294122695923,
-0.044775091111660004,
0.2342672049999237,
0.30642345547676086,
-0.5900879502296448,
-0.05249885842204094,
-0.7851541638374329,
-0.12287054955959... |
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: Oh, maravilloso.
Student: | Och, cudownie. | 6 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.6090087890625,
0.9670542478561401,
0.08358371257781982,
-0.7652211785316467,
-0.5286972522735596,
-0.517025887966156,
0.11924286186695099,
-0.19049836695194244,
0.2831389307975769,
-0.16098356246948242,
-0.44275832176208496,
-0.27106744050979614,
0.28370457887649536,
-0.779105544090271,... |
TASK DEFINITION: In this task, you are given a sentence in Persian, and your task is to translate it into English.
PROBLEM: در طی عمر طولانی هر دوی آنها، با وجود اینکه چندین و چند بار بر حسب اتفاق یکدیگر را ملاقات کردند،
SOLUTION: alone in the many chance encounters of their very long lives,
PROBLEM: مونتانلی آن را... | and, forgetting her usual stinted stepmother dole of gifts,
| 8 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
0.013138361275196075,
0.5170564651489258,
-0.4249170422554016,
-0.3027630150318146,
-0.5164263248443604,
0.29761141538619995,
1.384822130203247,
0.24822941422462463,
0.5406366586685181,
-0.07246503233909607,
-0.3322037160396576,
0.5329459309577942,
-0.4528990089893341,
0.5352879762649536,
... |
You will be given a definition of a task first, then some input of the task.
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 h... | Location. | 1 | NIv2 | task046_miscellaneous_question_typing | zs_opt | [
0.8594464063644409,
0.12149737775325775,
-0.1587713360786438,
0.2846505641937256,
0.12005607783794403,
-0.9614851474761963,
0.7548699378967285,
0.805894136428833,
-0.4709298312664032,
-0.21506938338279724,
-0.3725096881389618,
0.2724899649620056,
-0.04771333932876587,
-0.012768063694238663... |
Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Input: O vínculo duplo da autopromoção.
Output: | זהו החסם הכפול של קידום עצמי. | 3 | NIv2 | task1278_ted_translation_pt_he | zs_opt | [
-1.0372908115386963,
0.8025537729263306,
0.0428914800286293,
-0.13782301545143127,
-0.544739842414856,
1.1240373849868774,
1.0491623878479004,
0.16316938400268555,
0.7304439544677734,
-0.4221509099006653,
-0.8974973559379578,
-0.04533522576093674,
-1.157912254333496,
0.01652943156659603,
... |
Definition: In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Input: Context: Sophia was appl... | True | 2 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.8671926856040955,
0.018902575597167015,
0.20593667030334473,
-0.2801556885242462,
0.05687108635902405,
-0.17444437742233276,
0.5147225856781006,
0.6231683492660522,
0.42106151580810547,
0.12757587432861328,
-0.2550196647644043,
-0.32250383496284485,
0.1567644327878952,
0.078313060104846... |
Detailed Instructions: Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice:... | yes | 8 | NIv2 | task115_help_advice_classification | zs_opt | [
-0.42350274324417114,
0.7902032136917114,
0.37688153982162476,
0.10698358714580536,
0.27004456520080566,
-1.6877738237380981,
1.0921080112457275,
0.15748390555381775,
0.004934822209179401,
0.4831560254096985,
-0.579526424407959,
-0.6084497570991516,
-0.9710650444030762,
-0.2348746061325073... |
Definition: 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 ha... | Yes | 2 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.33588463068008423,
0.22406384348869324,
0.24178925156593323,
-0.4034391939640045,
-0.4400523602962494,
-0.698741614818573,
1.3276712894439697,
0.02472813054919243,
-0.46220555901527405,
-0.4499738812446594,
-0.6005221605300903,
-0.183460533618927,
-0.8651091456413269,
0.33519309759140015... |
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-geopolitical depending on the... | geopolitical | 0 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | zs_opt | [
-0.1888064593076706,
0.24684107303619385,
0.17414531111717224,
0.10460064560174942,
-0.5509349703788757,
-0.8167732954025269,
-0.09735773503780365,
0.3196060061454773,
-0.23324978351593018,
0.17520420253276825,
-0.27763670682907104,
-0.671405017375946,
-0.3496394753456116,
-0.2332972586154... |
A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence.
Q: बागान म्यांमार का प्रमुख पर्यटन आकर्षण है।
A: | Bagan is one of the premier tourist attractions of Myanmar. | 4 | NIv2 | task1024_pib_translation_hindi_english | zs_opt | [
0.760511577129364,
0.44194892048835754,
-0.6418391466140747,
-0.36918550729751587,
-0.22669582068920135,
-1.1901516914367676,
0.5516732335090637,
0.7732418775558472,
-0.07952581346035004,
0.09608302265405655,
-0.5776787996292114,
0.5961310267448425,
-0.6434184312820435,
0.4410794973373413,... |
Detailed Instructions: In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Problem:In 200... | Not paraphrase | 8 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.8525853753089905,
0.9541165232658386,
-0.1985415667295456,
-0.5187585949897766,
0.1643139123916626,
-0.14107900857925415,
1.2220124006271362,
0.12104001641273499,
0.36020293831825256,
0.09830571711063385,
-0.264585018157959,
0.26850828528404236,
-0.09660671651363373,
0.3789384365081787,... |
Part 1. Definition
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when th... | blue_container | 7 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
-0.05105288699269295,
-0.39754509925842285,
-0.04945337772369385,
-0.05686662346124649,
-0.31658071279525757,
-0.36268365383148193,
0.3695465326309204,
0.6042660474777222,
-0.10695182532072067,
0.056916289031505585,
0.11935155838727951,
0.051785897463560104,
-0.11896432936191559,
0.2344904... |
Detailed Instructions: This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Q: Het Verdrag van Versailles, dat ... | Em contrapartida, o Tratado de Versalhes, demasiado rígido para ser honrado e demasiado frágil para ser implementado, abriu caminho à Segunda Guerra Mundial. | 9 | NIv2 | task1375_newscomm_translation | zs_opt | [
-0.5670751333236694,
1.1951541900634766,
-0.04000774398446083,
0.06576759368181229,
-0.08881910145282745,
-0.8115054368972778,
0.4098271429538727,
0.8338968753814697,
1.044596552848816,
0.16380679607391357,
-0.19006869196891785,
0.39032989740371704,
-0.03317819535732269,
0.0358663722872734... |
A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence.
[Q]: গ্যারান্টি ছাড়া ৫০ লক্ষ টাকা পর্যন্ত ঋণ নেওয়ার সুযোগ দেওয়া হয়েছে।
[A]: उद्यमियों के लिए बिना गारंटी 50 लाख रुपए तक के ण की योजना भी लाई जाएगी।
... | बिहार की अनूठी विशेषता है कि राज्य में सभी मतदाताओं (100 प्रतिशत) के पास मतदाता पहचान पत्र (ईपीआईसी) की सुविधा है।
| 5 | NIv2 | task1009_pib_translation_bengali_hindi | fs_opt | [
-0.5362540483474731,
0.2972969710826874,
0.37274056673049927,
0.26368287205696106,
0.08157877624034882,
-0.38406357169151306,
0.5847204923629761,
0.5445812940597534,
-0.1346067637205124,
-0.163110613822937,
-0.34053701162338257,
0.41003602743148804,
0.022626005113124847,
0.5023699998855591... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | Output: green_treasure_chest
| 2 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.45599010586738586,
-0.35735413432121277,
-0.5117943286895752,
-0.11349634826183319,
-0.11793208122253418,
-0.46720343828201294,
-0.18643465638160706,
0.77156662940979,
0.09450192749500275,
0.06491599231958389,
-0.40218186378479004,
0.44518572092056274,
0.10515505075454712,
-0.15200862288... |
You will be given a definition of a task first, then some input of the task.
This task is about translating a given English language sentence to Yoruba language.
--- Dalung wants Eagles to play the football match with DR Congo in Abuja
Output: | --- Dalung fẹ́ kí ìfẹsẹ̀wọnsẹ̀¸ ọlọ́rẹ̀ẹ́jọ̀rẹ Eagles àti DR Congo wáyé nílùú Abuja. | 1 | NIv2 | task1685_menyo20k_translation | zs_opt | [
1.1191442012786865,
0.4706459045410156,
-0.40545302629470825,
0.049652811139822006,
-0.2715645432472229,
-0.45738402009010315,
0.37065553665161133,
-0.46515953540802,
0.2465590536594391,
-0.07845103740692139,
0.22043758630752563,
0.21773894131183624,
-0.6948807835578918,
-0.167155593633651... |
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Text: hey reddit, long time lurker and first time poster here.
so i started talking to th... | TIFU by using my forearm as an oven mitt
| 0 | NIv2 | task510_reddit_tifu_title_summarization | fs_opt | [
0.08545762300491333,
0.32263630628585815,
-0.3693765103816986,
-0.21025879681110382,
0.7062414884567261,
-0.08569231629371643,
0.6868019700050354,
0.6744274497032166,
0.015614056959748268,
0.02226777747273445,
0.1911657154560089,
0.19919219613075256,
-0.8545394539833069,
0.4158364832401275... |
Definition: Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabili... | Vous magasineriez par h uff parce que vous n'avez pas d'argent. | 2 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.07669618725776672,
0.7034028768539429,
-0.03568492457270622,
-0.6720879077911377,
0.11322472989559174,
-0.03424030542373657,
0.9063560962677002,
0.37772977352142334,
0.7103986740112305,
-0.14869952201843262,
-1.068030595779419,
-0.2908463478088379,
-0.6344206929206848,
0.275839120149612... |
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
| 1 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
0.014505978673696518,
0.1889004111289978,
0.36172059178352356,
-0.32627224922180176,
-0.5834846496582031,
-0.629331111907959,
0.7506231665611267,
0.647786021232605,
-0.2295897901058197,
-0.25841665267944336,
-0.5698081851005554,
-0.48157799243927,
-0.5000813603401184,
0.05016421526670456,
... |
Definition: 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.
Input: Category: WHERE IT HAPPENED
Clue: Around 1271 the city of Herat, Afghanista... | marco polo | 2 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-0.2267274558544159,
0.27331066131591797,
-0.38538211584091187,
0.30760854482650757,
0.003483496606349945,
0.3574916422367096,
0.6606552600860596,
0.07119008898735046,
0.5121272802352905,
0.10513368248939514,
-0.5182245373725891,
0.29611265659332275,
-0.6042412519454956,
0.5960415005683899... |
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