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 |
|---|---|---|---|---|---|---|
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
Let me give you an example: What are arteries... | migration | 8 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
0.43284928798675537,
1.0036989450454712,
-0.21343006193637848,
0.2806481719017029,
-0.13181215524673462,
-0.7063858509063721,
-0.19841505587100983,
0.0590335875749588,
-0.19116941094398499,
-0.2751542627811432,
-0.1879139095544815,
0.153529554605484,
-0.3020946979522705,
0.0279494225978851... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , a... | Output: Other.
| 2 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.6733421087265015,
0.13541549444198608,
-0.15512841939926147,
0.257697194814682,
-0.173350527882576,
-1.1143914461135864,
1.0133370161056519,
1.0142905712127686,
-0.5938745141029358,
-0.43702203035354614,
-0.4472067952156067,
0.709469199180603,
-0.5274825096130371,
-0.03692272678017616,
... |
Instructions: 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 ____ fangs.
Output: | two | 3 | NIv2 | task1359_numer_sense_answer_generation | zs_opt | [
-0.7680026888847351,
0.7828219532966614,
-0.3704420328140259,
-0.4656336009502411,
0.03728003799915314,
-0.22309550642967224,
0.9399250745773315,
0.33412453532218933,
-0.27466487884521484,
-0.24213197827339172,
-0.2666865587234497,
-0.013820183463394642,
-0.916335940361023,
-0.598251700401... |
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.
Let me give you an example: Category: construction
Words: excavator, crane, pelican, hoist, upraise
The answer to this example can... | icy | 8 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
0.035434335470199585,
0.7791862487792969,
0.013340670615434647,
-0.10476982593536377,
0.17510730028152466,
-0.10044889152050018,
0.31151896715164185,
0.05101098120212555,
-0.008286398835480213,
-0.41406816244125366,
-0.7410783171653748,
0.19146132469177246,
-0.7483658194541931,
-0.01148621... |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Gujarati: એક નાના વિમાન ઘાસવાળું ક્ષેત્રથી બંધ થઈ રહ્યું છે.
English: A small plane is... | Yes | 0 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-1.2823708057403564,
0.7816405892372131,
0.5921142101287842,
-0.31604281067848206,
0.016848545521497726,
-0.9653092622756958,
0.009738704189658165,
0.15467818081378937,
-0.027635931968688965,
-0.0684579461812973,
-1.0344157218933105,
0.21865680813789368,
-0.26394370198249817,
0.51393055915... |
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.
Q: Category: MONEY
Clue: On July 27, 1971 Richard Nixon gave her the first of the new U.S. do... | \"we didn\'t start the fire\"
****
| 4 | NIv2 | task307_jeopardy_answer_generation_final | fs_opt | [
0.1440618932247162,
0.6717563271522522,
-0.22341826558113098,
0.46181148290634155,
-0.021824203431606293,
-0.08344222605228424,
0.21596235036849976,
0.41430702805519104,
0.3436850905418396,
0.07824455201625824,
0.08185121417045593,
-0.4840235710144043,
-1.0770471096038818,
-0.0703649371862... |
Teacher: In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer w... | none | 2 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
-0.48981016874313354,
-0.023065529763698578,
-0.5598939657211304,
-0.4711184799671173,
-0.3878450393676758,
-1.0172991752624512,
0.18013203144073486,
1.1893389225006104,
-0.2569177448749542,
0.10705816745758057,
-0.17808423936367035,
-0.39600202441215515,
-0.9775142669677734,
0.21903309226... |
instruction:
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
question:
3089 - 6778 - 3604 - 1052 - 1332
answer:
15855
questio... | 10501
| 9 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.5599038600921631,
0.10245726257562637,
-0.9051780104637146,
-0.20206758379936218,
-0.5242019891738892,
-0.556120753288269,
0.8021929264068604,
0.8318588733673096,
0.300834059715271,
-0.36150795221328735,
-0.5856698751449585,
-0.23168116807937622,
-0.761028528213501,
0.03413551300764084,... |
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view tow... | Neutral | 3 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.952568769454956,
0.6052252054214478,
0.8744286298751831,
-0.290033221244812,
0.16178929805755615,
-0.6731829643249512,
0.9969128370285034,
0.25362300872802734,
0.475043386220932,
0.438570499420166,
0.09401465952396393,
0.31360888481140137,
-0.651964545249939,
-0.3463760316371918,
0.61... |
Q: In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Most electric motors draw up to _ times their rated current when starting.
A: | three | 7 | NIv2 | task672_nummersense | zs_opt | [
0.27473682165145874,
0.11700130999088287,
0.3283997178077698,
-0.6637386083602905,
-0.5196144580841064,
-0.1640712320804596,
0.4411734342575073,
0.9572566151618958,
0.3582712411880493,
0.134356290102005,
0.3432106375694275,
0.20837551355361938,
0.0505390390753746,
-0.283447265625,
-0.959... |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Let me give you an example: Gujarati: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
... | Yes | 8 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt | [
-0.9926856160163879,
0.12136003375053406,
0.6171196699142456,
0.4367895722389221,
0.35570502281188965,
-1.0552492141723633,
-0.2802780866622925,
0.3306731581687927,
-0.4705621302127838,
-0.06796588003635406,
-0.36697959899902344,
0.3797866702079773,
-0.9209058284759521,
0.12216340005397797... |
Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: «من هر صبح با گریه از خواب برمیخیزم»
Output: | 'I wake up every morning crying' | 3 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
0.04248729348182678,
1.1801185607910156,
-0.013124069198966026,
-0.9165322780609131,
-0.9977782964706421,
0.31469112634658813,
0.46404826641082764,
0.4146619737148285,
0.13119420409202576,
-0.33393895626068115,
-0.7170498371124268,
0.5632079839706421,
-0.6045277118682861,
-0.15361696481704... |
A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: Consider Input: आता देशातील जम्मू काश्मीर मधील सामान्य नागरिक देखील विना अडथळा केंद्र सरकारला जाब विचारू शकतो.
Output: ഇനി രാജ്യത്തെ മറ്റേത്... | Output: അദ്ദേഹത്തിന് ലൈറ്റ് സ്കാറ്ററിംഗ് അതായത് പ്രകാശ പ്രകീര്ണ്ണനത്തെക്കുറിച്ചുള്ള ഉത്കൃഷ്ടമായ പഠനത്തിന് നോബല് പുരസ്കാരം നല്കപ്പെട്ടു.
| 2 | NIv2 | task1072_pib_translation_marathi_malayalam | fs_opt | [
0.23995643854141235,
0.9492849111557007,
-0.008728386834263802,
-0.5099295377731323,
0.07961791008710861,
-0.6647356152534485,
0.2897268533706665,
0.45255017280578613,
-0.04461851716041565,
0.4207683205604553,
-0.6328068375587463,
-0.23323172330856323,
-0.26619458198547363,
-0.377302467823... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
--------
Question: BzYuPZCFqN, cdLNwuPZCFfix
Answer: c, d, f, i, l, n, p, u, w, x, z
Question: DeqMseLFlD, TzMseLFAu
Answer: ... | b, f, h, j, k, l, m, o, p, q, s, u, w, x, z
| 7 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.10394975543022156,
0.7268035411834717,
-0.2065819948911667,
-0.781548261642456,
0.09179762750864029,
0.4171309471130371,
1.1364986896514893,
-0.4537632167339325,
-0.21982505917549133,
0.054123278707265854,
-0.9186139106750488,
-0.024635840207338333,
-0.2591278553009033,
-0.3730559945106... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Q: Y en diferentes lugares de ese espacio él expresa — ¿podemos tener volumen aquí?
A: | وفي أماكن مختلفة من ذلك الفراغ يقوم بالتعبير — هل يمكن تشغيل الصوت هنا ؟ | 9 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
0.2738027572631836,
1.1551166772842407,
0.9936631917953491,
-1.0945661067962646,
0.19077423214912415,
-0.3704836666584015,
0.27890244126319885,
0.6231865882873535,
0.979843020439148,
-0.09377561509609222,
-0.47271114587783813,
0.928211510181427,
-1.0266268253326416,
0.21945959329605103,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the for... | My dad drives us to school >Causes/Enables> We arrive at school | 1 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
-0.25413885712623596,
-0.023953713476657867,
0.5956050157546997,
-0.05009185150265694,
-0.14696401357650757,
-0.4278266429901123,
-0.258646696805954,
1.0470590591430664,
-0.43690526485443115,
-0.023023750633001328,
-0.5622397661209106,
-0.6219235062599182,
0.4439828395843506,
-0.9390358328... |
You will be given a definition of a task first, then some input of the task.
Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'Entails, HasProperty, Synonym, Antonym, HasA, MemberOf, PartOf, MadeOf, IsA'. Let's denote the first word by X and the second word by Y. ... | Antonym | 1 | NIv2 | task1429_evalution_semantic_relation_classification | zs_opt | [
0.457023024559021,
0.1099332720041275,
0.021249309182167053,
0.485456645488739,
-0.028661299496889114,
-0.24843311309814453,
0.5059551000595093,
0.9236652851104736,
-0.10607960820198059,
-0.6094130277633667,
-0.5810985565185547,
0.21085789799690247,
0.07580449432134628,
0.12651532888412476... |
Given the task definition and input, reply with output. 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 c... | A | 5 | NIv2 | task229_arc_answer_generation_hard | zs_opt | [
0.8071956634521484,
0.7048466801643372,
0.1420445442199707,
-1.299372911453247,
-0.2076464593410492,
-0.40966737270355225,
0.36783939599990845,
0.8050846457481384,
-0.045588187873363495,
0.24403318762779236,
-0.5571678876876831,
-0.6746432185173035,
0.4155600666999817,
-0.9265841245651245,... |
You will be given a definition of a task first, then some input of the task.
Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
opening
Output: | closing | 1 | NIv2 | task1508_wordnet_antonyms | zs_opt | [
-0.020289380103349686,
1.2429808378219604,
0.013904217630624771,
0.1407807469367981,
-0.3738989531993866,
-0.05515352264046669,
-0.2391285002231598,
0.6672691702842712,
0.6574423909187317,
-0.45481637120246887,
-0.6141794919967651,
-0.8874714374542236,
-1.3327844142913818,
-0.2330651730298... |
TASK DEFINITION: In this task, you are given a paragraph, and your job is to generate comma-separated entities present in the given paragraph. Generate entities from a given passage in such a way that (i) they are present in the paragraph, (ii) they are non-duplicate, (iii) they underwent a state change during the proc... | tent ,clothes ,sleeping bag ,firewood ,fire
| 8 | NIv2 | task1566_propara_structured_text_generation | fs_opt | [
0.86967533826828,
0.2079750895500183,
-0.5864827632904053,
-0.3226356506347656,
-0.17314377427101135,
-0.8246583938598633,
0.18722692131996155,
0.9822976589202881,
-0.411702036857605,
0.6418429017066956,
-0.23715895414352417,
-0.10002689808607101,
-0.455256849527359,
0.1271430253982544,
... |
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Q: Query:... | Yes
****
| 4 | NIv2 | task227_clariq_classification | fs_opt | [
-0.819871187210083,
0.09676907956600189,
0.08833369612693787,
0.07122398167848587,
-0.5176529288291931,
-0.42197203636169434,
0.28835663199424744,
0.8021222352981567,
0.2666541337966919,
0.3037112355232239,
0.4347524046897888,
-0.3805515766143799,
-0.15736380219459534,
-0.15378977358341217... |
In this task, you are given a conversation between a flight agent and the customer. You are given 4 options and you need to select the goal of the conversation. It is provided as part of customer's context, which has to be one of the following: `book`: Make a new reservation, `cancel`: Cancel an existing reservation, `... | Solution: no_flight | 5 | NIv2 | task573_air_dialogue_classification | fs_opt | [
0.4377521276473999,
-0.04546188563108444,
-0.1097264289855957,
-0.4014233350753784,
0.238154798746109,
-0.38253507018089294,
0.6879351139068604,
0.2607724070549011,
-0.23573434352874756,
0.2467467188835144,
0.28146013617515564,
-0.5159316658973694,
-0.6587014198303223,
-0.19890476763248444... |
Detailed Instructions: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line characte... | Answerable | 8 | NIv2 | task290_tellmewhy_question_answerability | zs_opt | [
-0.0810220018029213,
0.25204673409461975,
0.8019188642501831,
0.3015211820602417,
-0.733826756477356,
-1.0184473991394043,
0.4653254747390747,
0.5091350674629211,
0.02638862282037735,
-0.3967493772506714,
-0.2359335869550705,
0.17882461845874786,
-0.8305283784866333,
-0.07417313009500504,
... |
Teacher:A text is given in English. Translate it from the English language to the Bengali language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: The government has been working to protect the interest of customers, to protect their... | সরকার গ্রাহকদের স্বার্থ সুরক্ষিতকরার জন্য ব্যাঙ্কগুলিতে জমা রাখা তাঁদের পুঁজি সুরক্ষার জন্য যে ব্যবস্থা নিচ্ছে,তার বিপরীত গুজব ছড়ানো হচ্ছে। | 6 | NIv2 | task996_pib_translation_english_bengali | zs_opt | [
0.09747340530157089,
-0.17259281873703003,
0.5275843143463135,
-0.5277428030967712,
-0.04459139704704285,
-0.8156295418739319,
0.13848552107810974,
0.34414321184158325,
-0.2979732155799866,
-0.23823514580726624,
-0.10240848362445831,
-0.3448706865310669,
-0.877174973487854,
-0.443442046642... |
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... | What does the woman imply? (A) The man is a forgetful person. (B) The typewriter is not new. (C) The man can have the typewriter later. | 6 | NIv2 | task246_dream_question_generation | fs_opt | [
0.2560005784034729,
0.14468437433242798,
-0.23392581939697266,
0.2506577968597412,
0.6779484748840332,
-0.2787662446498871,
0.34444659948349,
0.8483177423477173,
-0.01841185800731182,
0.044068798422813416,
-0.3731951117515564,
-0.2929878532886505,
0.6296125054359436,
-0.38432157039642334,
... |
In this task, you will be presented with a question having multiple possible answers in French language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Ex Input:
Question: Le tweed est un tissu avec lequel je cherche à fabriquer des vêtements, où do... | A
| 1 | NIv2 | task1136_xcsr_fr_commonsense_mc_classification | fs_opt | [
0.007237059064209461,
0.3642369508743286,
-0.1618114709854126,
0.40040305256843567,
0.15192943811416626,
-0.08537612855434418,
0.21867889165878296,
0.09090587496757507,
0.13300976157188416,
0.8717938661575317,
-0.4095265865325928,
-0.09317436814308167,
0.1428178995847702,
-0.91867631673812... |
Detailed Instructions: In this task, you will be presented with a question having multiple possible answers in Polish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
See one example below:
Problem: Question: Major Tom chciał zachować broń. T... | A | 4 | NIv2 | task1140_xcsr_pl_commonsense_mc_classification | fs_opt | [
-0.23901347815990448,
0.8929777145385742,
0.12927478551864624,
-0.29559558629989624,
-0.1613112986087799,
-1.1980738639831543,
1.2264212369918823,
0.25945010781288147,
0.07357892394065857,
0.19775420427322388,
-0.19642047584056854,
0.8617510795593262,
-0.5809146165847778,
-0.32386192679405... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Input: Consider Input: 今では自分の農場の活動すべてを管理することができます」と言いました
Output: Ora può svolgere tutte le attività della sua fattoria.
Input: Consider Input: 父を取り巻く思いやりと愛を写真に収めたのです
Output: Fotografai le cure e l'amore che lo circon... | Output: Miliardi di eventi sono accaduti nella vostra storia che sono collegati nel tempo con voi stessi come ricevitori, o come attori, o pensatori, come motori.
| 2 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
0.04795622453093529,
0.4861913025379181,
-0.0652301087975502,
0.10622159391641617,
-0.18727099895477295,
-1.220813274383545,
-0.1578955054283142,
0.6391022801399231,
0.5813905596733093,
-0.5860881805419922,
-0.3429358899593353,
0.4092605412006378,
-0.22515586018562317,
0.17063724994659424,... |
Q: Classify the input text into either disfluent questions or proper questions. 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 is a term for schools that receive government assistance?
A: | proper | 7 | NIv2 | task1623_disfl_qa_disfluent_question_classification | zs_opt | [
0.15176433324813843,
0.3863258361816406,
0.3124801814556122,
-0.7303131222724915,
-0.21212732791900635,
-0.32675501704216003,
0.6795612573623657,
0.25911644101142883,
0.06493318825960159,
-0.23078519105911255,
-0.724345326423645,
-0.5460653901100159,
-0.43446892499923706,
0.213851660490036... |
In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Example: Context: Tracy didn't go home that evening and resisted Riley'... | Solution: No | 5 | NIv2 | task579_socialiqa_classification | fs_opt | [
0.30962687730789185,
0.21557466685771942,
0.8643234372138977,
0.16888846457004547,
0.09700915217399597,
-0.7023881673812866,
0.4815530776977539,
0.417752742767334,
0.2699812054634094,
0.26237618923187256,
-0.23229429125785828,
0.1516800820827484,
-0.2038602977991104,
-0.4126269519329071,
... |
You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can answer the question correctly and completely. In those ca... | A, D, F. | 8 | NIv2 | task058_multirc_question_answering | fs_opt | [
0.5741432905197144,
0.13044017553329468,
-0.9101719856262207,
0.26181456446647644,
0.11313946545124054,
-0.47401687502861023,
0.8598848581314087,
1.3835117816925049,
0.5471940040588379,
0.5768765211105347,
-0.40755826234817505,
0.5477817058563232,
-0.5883381962776184,
-0.4101364314556122,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
هدفي ان اعطي صوتا للناس الصامتين, لاظهار الاضواء الخفية خلف ستارة اللعبة الكبيرة العوالم الصغيرة التي يتجاهلها الاعلم ورسل الصراع العالمي
Output: | Mi propósito es darle voz a los que no la tienen, para mostrar las luces ocultas que hay tras las bambalinas del gran juego, los pequeños mundos ignorados por los medios de comunicación y los profetas de un conflicto mundial. | 1 | NIv2 | task1232_ted_translation_ar_es | zs_opt | [
-0.5234689712524414,
0.6886314153671265,
-0.38001152873039246,
-0.43791714310646057,
-0.556970477104187,
-0.056533634662628174,
1.0234286785125732,
0.3435407876968384,
0.5225309729576111,
-0.434264212846756,
-0.42431628704071045,
-0.025890521705150604,
-0.6647472381591797,
-0.1019141077995... |
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 paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given questio... | Yes. | 0 | NIv2 | task057_multirc_classify_incorrect_answer | fs_opt | [
0.24798929691314697,
-0.0334426648914814,
-0.538191556930542,
0.35791081190109253,
-0.10309376567602158,
-0.798945426940918,
0.49287542700767517,
0.7195436954498291,
-0.05657826364040375,
0.12006613612174988,
-0.23628956079483032,
-0.08687029778957367,
-0.6905322074890137,
0.06619294732809... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Input: למעשה, כשיצאנו בהתחלה לגייס כסף כדי להתחיל את באבל, אנשי ההון סיכון אמרו: "" אנחנו בשום אופן לא משקיעים בחברות שמיוסדות ע "" י בעל ואשה, כי יש בהן מרכיב נוסף לכשלון.
Output: | في الحقيقة عندما بدأنا حملة جمع رأس المال لتأسيس موقع "" بابل "" قال لنا أصحاب رؤوس الاموال "" نحن لا نستثمر في الشركات التي أُسست من قبل زوج و زوجة.. لانها ذات مؤشر آخر على فشل المشروع.. | 2 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.3106039762496948,
0.8248580694198608,
-0.4217790961265564,
-0.5476751923561096,
0.10685883462429047,
1.2234559059143066,
1.245314598083496,
0.7245464324951172,
0.8209220767021179,
-0.11332539469003677,
-1.1318398714065552,
0.026655204594135284,
0.0008146434556692839,
-0.4249494075775146... |
In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Let me give you an example: Preheat oven to 325F and grease and flour a 10" tube pan.,Soak the nutmeg in the whiskey for ten minutes.,______,Cream butter a... | add eggs, one at a time, and beat well after each addition. | 8 | NIv2 | task572_recipe_nlg_text_generation | fs_opt | [
0.9974533915519714,
0.7558270692825317,
-0.7102489471435547,
0.09533163905143738,
0.2997573912143707,
0.23516979813575745,
0.4682005047798157,
1.167959451675415,
-0.9120014309883118,
0.14026862382888794,
0.45271435379981995,
0.3286723494529724,
-0.36354386806488037,
0.1913713663816452,
0... |
Teacher: 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. Avo... | What were the first large, diverse lineage of short-tailed avialans to evolve? | 2 | NIv2 | task074_squad1.1_question_generation | fs_opt | [
1.1035226583480835,
0.6645307540893555,
-0.22955691814422607,
0.0922299176454544,
-0.042884014546871185,
-0.5115190744400024,
0.7058467864990234,
0.9443360567092896,
0.2836152911186218,
-0.08628115057945251,
0.08578559756278992,
-0.024102196097373962,
-0.9948809146881104,
-0.14048182964324... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Example input: Sentence 1: Next to the MGM Grand yo... | fiction | 3 | NIv2 | task197_mnli_domain_answer_generation | fs_opt | [
-0.8172996640205383,
0.4741918742656708,
0.1362375169992447,
-1.0978004932403564,
-0.09052693843841553,
-0.058534249663352966,
-0.20862028002738953,
0.3140565752983093,
0.21075449883937836,
-0.28059303760528564,
-0.31700509786605835,
-0.20408564805984497,
-0.4282856285572052,
-0.3753517866... |
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence an... | [['House on Haunted Hill', 'DOMESTIC_BOX_OFFICE', '$40,846,082']]
| 3 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
0.1457059681415558,
0.1051909476518631,
-0.39140230417251587,
-0.4267483949661255,
-0.6722530126571655,
-0.11785296350717545,
0.8419275283813477,
-0.0613802932202816,
-0.1075563132762909,
-0.4186252951622009,
-0.3457558751106262,
0.6286131739616394,
-0.741955578327179,
-0.474004864692688,
... |
A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
Example input: ਇਹ ਉਹ ਸੱਚ ਹੈ ਜੋ ਬੰਗਾਲ ਦੇ ਲੋਕਾਂ ਨੂੰ ਚਿੰਤਨ ਮਨਨ ਦੇ ਉਸ ਪੱਧਰ 'ਤੇ ਲੈ ਜਾਂਦਾ ਹੈ ਜਿੱਥੇ ਪਹੁੰਚਣਾ ਮੁਸ਼ਕਿਲ ਹੁੰਦਾ ਹੈ। ਇਹ ਉਹ ਸੱਚ ਹੈ ਜਿਸ ਕਾਰਨ ਬੰਗਾਲ ਨੇ ਸਦੀਆਂ... | غریب کا درد سمجھنے کا یہ جذبہ سنت رامانجاچاريہ کی ہی دین ہے. | 3 | NIv2 | task1051_pib_translation_punjabi_urdu | fs_opt | [
-0.4797344207763672,
1.0153241157531738,
0.015432776883244514,
-0.8527591228485107,
-0.31788790225982666,
-1.0236761569976807,
1.0887877941131592,
0.5861984491348267,
0.021324504166841507,
0.1656276434659958,
-0.8293129801750183,
0.2653732895851135,
-0.2864838242530823,
0.6456611752510071,... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
[EX Q]: ا ِلن گالینسکی از موسسه خانواده و کار از ۱ ٫ ۰۰۰ کودک پرسید که اگر یکی از آرزوی تان در مورد پدر و مادرتان برآورده می شد ، آن آرزو چه بود ؟ پدر و مادرها پیش بینی می کردند که پاسخ سوال گذراندن وقت بیشتری با آنها با... | They're still kind of black boxes.
| 6 | NIv2 | task1265_ted_translation_fa_en | fs_opt | [
-0.7493886351585388,
0.7205419540405273,
-0.12989723682403564,
-0.5563617944717407,
-0.27131888270378113,
0.37720048427581787,
0.5987399816513062,
0.25611376762390137,
0.4732361435890198,
0.34279167652130127,
-0.365719735622406,
0.4380262494087219,
-0.6364725232124329,
0.013099851086735725... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Robot używa syntetycznej mowy by rozmawiać naśladując trenerów i ich klientów. by rozmawiać naśladując trenerów i ich klientów. by rozmawiać naśladując trenerów i ich k... | Y el robot hablaba con voz sintética para entablar un diálogo de consejero modelado a partir de entrenadores, pacientes, etc. | 5 | NIv2 | task1258_ted_translation_pl_es | zs_opt | [
-1.1670129299163818,
0.7285803556442261,
-0.013197612017393112,
-0.013011779636144638,
-0.476675808429718,
-0.17129676043987274,
0.6548724174499512,
-0.3027792274951935,
0.2564399242401123,
-0.7766388654708862,
-0.4428299069404602,
0.7861005067825317,
-0.27929359674453735,
0.12267591059207... |
Definition: In this task, you're given a text and question. The question is about the topic of the document. You are expected to generate an incorrect answer. The incorrect answer should be among one of the following categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office holder, 6)Mean of trans... | Village | 2 | NIv2 | task631_dbpedia_14_incorrect_answer_generation | zs_opt | [
0.24925705790519714,
-0.13316962122917175,
0.4674450755119324,
-0.10385880619287491,
0.0012706272536888719,
-0.3787599205970764,
0.13075324892997742,
0.2570454180240631,
0.00821183156222105,
-0.7183879017829895,
-0.27636030316352844,
-0.022940069437026978,
-0.7115009427070618,
0.0240175388... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Input: ההוכחה של זה היא תכסיס מסיבות מוצלח, אבל צריך להודות שהתכסיס מצליח רק במסיבות מסויימות.
Output: | A prova disso é um excelente truque para festas, mas há que admitir que só funciona em certas festas. | 2 | NIv2 | task1114_ted_translation_he_pt | zs_opt | [
0.3833552598953247,
0.7360517978668213,
0.10606586933135986,
-0.464348703622818,
-0.2604711055755615,
0.2663921117782593,
0.512209951877594,
0.1557646542787552,
0.6681089401245117,
0.1429053097963333,
-1.2444770336151123,
-0.1343640387058258,
-0.3679289221763611,
0.4891219139099121,
0.70... |
Detailed Instructions: In this task, you are given a review of a movie and a boolean question whether this review 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:Review: Sometimes I just want to lau... | no | 8 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-1.0440831184387207,
0.3509538173675537,
0.7488597631454468,
0.2708490490913391,
-0.003216823097318411,
-0.2713812589645386,
0.1472681164741516,
0.47990286350250244,
0.5281503200531006,
0.18405988812446594,
-0.17942896485328674,
-0.7993031144142151,
-0.34441816806793213,
-0.334085702896118... |
Q: In this task you are given a premise and two alternatives in Estonian you must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Ke... | 2 | 7 | NIv2 | task968_xcopa_commonsense_reasoning_et | zs_opt | [
-0.7971099019050598,
1.0038076639175415,
-0.16655167937278748,
0.08585284650325775,
-0.47466176748275757,
-0.376920223236084,
0.06376923620700836,
0.6432766914367676,
0.4624462127685547,
0.37520527839660645,
-0.18941336870193481,
0.5930576324462891,
-0.38599488139152527,
0.7134463787078857... |
In this task, you need to count the number of times the given letter appears in the given sentence.
One example: Sentence: 'a large group of bananas proped up on several bicycles'. Find frequency of the letter 'e'
Solution is here: 5
Explanation: The letter 'e' appears 5 times in the sentence.
Now, solve this: Sentenc... | 4 | 6 | NIv2 | task113_count_frequency_of_letter | fs_opt | [
0.08764763921499252,
-0.10650943219661713,
-0.6326813697814941,
0.2309981882572174,
-0.3440972566604614,
-0.7310335040092468,
0.9662837982177734,
0.44136711955070496,
-0.8053692579269409,
-0.13494367897510529,
-0.7750203609466553,
0.6037195920944214,
-0.4892193377017975,
0.2081336081027984... |
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Input: Consider Input: She turns to them and stops. She
Output: grabs the bar then immediately comes up.
Input: Consider Input: In the Chamber of Secrets, someone approaches the skelet... | Output: comes out of the water, showing unflinchingly on it.
| 2 | NIv2 | task454_swag_incorrect_answer_generation | fs_opt | [
0.4324382543563843,
0.8300940990447998,
-0.6008378267288208,
0.35852086544036865,
-0.28867286443710327,
0.1497935801744461,
-0.5757162570953369,
0.35775113105773926,
0.4105609059333801,
0.12425219267606735,
0.09755819290876389,
-0.09585155546665192,
-0.37855231761932373,
-0.284492224454879... |
In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
Ex Input:
Please mention, if you have any specifications.
Ex Output:
agent
Ex Input:
Ok,please proceed with booking.
Ex Output:
custo... | agent
| 1 | NIv2 | task575_air_dialogue_classification | fs_opt | [
-0.2544659376144409,
0.13091164827346802,
-0.13220906257629395,
0.03014509007334709,
-0.09834398329257965,
-0.44969290494918823,
0.5683185458183289,
0.1696067452430725,
0.5311316251754761,
0.4007631242275238,
0.043483175337314606,
-0.22491469979286194,
-1.0290842056274414,
-0.2081160396337... |
Detailed Instructions: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
See one example below... | (B) | 4 | NIv2 | task302_record_classification | fs_opt | [
0.51509690284729,
0.42623066902160645,
-0.42163246870040894,
-0.2636868357658386,
0.08186651766300201,
0.18557853996753693,
0.5061293840408325,
0.9679338932037354,
0.12463440746068954,
0.7861001491546631,
-0.09487807750701904,
0.719855785369873,
-0.7659999132156372,
0.4140302538871765,
-... |
In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
Jenny Clow was a domestic servant to Agnes Maclehose. _Her_ mistress sent her to deliver a letter to the poet and he seduced her. <sep>, Pr... | Jenny Clow | 0 | NIv2 | task330_gap_answer_generation | zs_opt | [
-1.1307162046432495,
1.2150657176971436,
0.34777575731277466,
-0.2949141263961792,
0.010196292772889137,
-1.1180593967437744,
0.825695276260376,
-0.3926835358142853,
0.5585542321205139,
-0.13032814860343933,
0.1230485737323761,
-0.020033951848745346,
-0.8082491755485535,
-0.503008782863616... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
この革新があったからこそアメリカの農業が変わりシカゴが小さな町の農業市場から世界市場へ進出することにまでなったのです
Output: | La innovación está en el seno de la transformación de la agricultura norteamericana y el auge de Chicago en que la ciudad se hizo un mercado mundial, mercado agrícola, una superpotencia comparado con donde estaba, una pequeña ciudad. | 1 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.3881952464580536,
0.6882164478302002,
0.22531676292419434,
-0.19197548925876617,
-0.23201382160186768,
-0.2840878367424011,
-0.2947523593902588,
1.2040441036224365,
0.5547415018081665,
-0.5322232246398926,
-0.08335170894861221,
0.05813908576965332,
-0.9368059635162354,
0.256828844547271... |
instruction:
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport ... | shady activities
| 9 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.0760473683476448,
0.3944869041442871,
-0.39126479625701904,
0.006317145191133022,
0.07731656730175018,
-0.2978522479534149,
-0.22763144969940186,
0.8121827840805054,
-0.07214594632387161,
0.017039133235812187,
0.06823966652154922,
0.1893129050731659,
-0.36875081062316895,
-0.342115432024... |
Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
Example: concept: Selena Gomez question: what city was selena gomez born in?
Example solution: New York City
Example explanation: The answer is correct based... | Solution: ['John Roberts', 'Clarence Thomas', 'David Souter', 'John Paul Stevens', 'Edward Douglass White'] | 5 | NIv2 | task1601_webquestions_answer_generation | fs_opt | [
-0.29969361424446106,
0.5647863149642944,
-0.15795277059078217,
0.3482206463813782,
-0.25656819343566895,
-0.11586758494377136,
0.48526448011398315,
0.16394644975662231,
0.4588307738304138,
-0.001051425701007247,
-0.3594447374343872,
1.2358660697937012,
-1.2194910049438477,
-0.185214430093... |
Instructions: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Input: Context: from 1 March 19... | Answer: none | 3 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
-0.16307413578033447,
0.001874798210337758,
-0.1339740753173828,
0.18613301217556,
0.15875594317913055,
-0.30742791295051575,
0.7691822052001953,
0.596222460269928,
0.395163893699646,
-0.24920222163200378,
-0.3424707055091858,
-0.7799580097198486,
-0.5651832222938538,
0.2590562701225281,
... |
Detailed Instructions: Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: イギリスの外務省は本日、スーダン政府とのさらなる協議を計画すると思われる。
Ba... | No | 9 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.11982841789722443,
0.4036860764026642,
0.3385328948497772,
-0.25520431995391846,
0.3533967137336731,
-0.41154593229293823,
0.5592353343963623,
-0.008602539077401161,
0.4509241580963135,
-0.10944116115570068,
-0.24974720180034637,
0.7636404633522034,
-0.8657478094100952,
0.55939233303070... |
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... | Group A. | 8 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.35671183466911316,
0.2989629805088043,
-0.2800292372703552,
0.10378633439540863,
0.22640538215637207,
-0.7842006683349609,
0.41900205612182617,
1.2157368659973145,
-0.542209267616272,
0.26206842064857483,
-0.8573509454727173,
0.18294797837734222,
-0.7776507139205933,
0.24884063005447388,... |
Definition: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'... | Yes | 2 | NIv2 | task227_clariq_classification | zs_opt | [
-0.36846208572387695,
-0.01644197478890419,
-0.06693984568119049,
0.3643263876438141,
-0.4408232569694519,
-0.46941784024238586,
0.7184756994247437,
0.13007035851478577,
0.30645841360092163,
-0.12509481608867645,
-0.36803513765335083,
-0.06876498460769653,
-0.24442292749881744,
-0.09803330... |
Given the task definition and input, reply with output. In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned... | [53, 5, 123, 53] | 5 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.398914635181427,
0.570468544960022,
-0.030266208574175835,
-0.5240426063537598,
0.2702256739139557,
-0.4425911009311676,
0.808153510093689,
0.06148069351911545,
-0.47549736499786377,
0.3448384404182434,
-0.8632199764251709,
0.2604339122772217,
-0.29611480236053467,
-0.1438891589641571,
... |
Detailed Instructions: You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can answer the question correctly and ... | B, G, H. | 9 | NIv2 | task058_multirc_question_answering | zs_opt | [
0.39643004536628723,
0.38989078998565674,
-0.2707924246788025,
0.39892712235450745,
0.08972726762294769,
-0.9038747549057007,
0.5742269158363342,
0.7694836854934692,
0.4510888457298279,
0.28778576850891113,
-0.5052451491355896,
0.20959922671318054,
-0.25923311710357666,
-0.3685801029205322... |
Detailed Instructions: This task is about translating a given French language sentence to English.
Problem:Le principal fabriquant américain du principe actif a décidé il y a quelques années de se délocaliser en Chine car c'est le plus grand producteur mondial de porcs.
Solution: | The main American manufacturer of that active ingredient decided a few years ago to relocate to China because it's the world's biggest supplier of pigs. | 8 | NIv2 | task1690_qed_amara_translation | zs_opt | [
-0.17038774490356445,
0.7656829357147217,
-0.13510355353355408,
0.3657858371734619,
-0.5014941692352295,
-0.16472680866718292,
-1.087223768234253,
0.44201862812042236,
0.16703066229820251,
0.6830016374588013,
-0.25722575187683105,
0.3397342562675476,
-0.7836226224899292,
-0.148540511727333... |
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
all the way , baby ! here 's what we 're gon na do .
here 's what we 're gon na do .
the day of the resurrection is upon us .
the day of resur... | major eustace did not commit murder .
| 0 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
0.2650778889656067,
1.5411663055419922,
-0.004712331108748913,
-0.000528645352460444,
-0.5087684392929077,
-0.818066418170929,
0.8701180219650269,
0.6846784353256226,
0.005694305989891291,
0.2974793314933777,
-0.43661099672317505,
0.5110681056976318,
-0.2686452865600586,
0.3830987215042114... |
The input is a sentence with a missed word and an emotion. Your task is to fill in the blank with a word that matches the emotion and rewrite the completed sentence. The emotion is one of ['fear', 'joy', 'anger', 'sadness'].
SENTENCE: Heather made me feel <blank>.
EMOTION: anger
Heather made me feel annoyed.
SENTENC... | The conversation with Darnell was outrageous.
| 0 | NIv2 | task1339_peixian_equity_evaluation_corpus_text_completion | fs_opt | [
-0.06960105895996094,
0.3537224531173706,
0.09142002463340759,
-0.6494061946868896,
-0.2524682879447937,
-1.0422722101211548,
1.0929877758026123,
0.5236579179763794,
0.25935420393943787,
-0.3736380636692047,
-0.2312150001525879,
-0.5779389142990112,
-0.5620627403259277,
0.11409589648246765... |
Given the task definition and input, reply with output. In this task you are given a premise and two alternatives in Tamil. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output sho... | 1 | 5 | NIv2 | task1176_xcopa_commonsense_reasoning_ta | zs_opt | [
-0.03224805369973183,
0.7655705213546753,
-0.05947832763195038,
0.7095655798912048,
-0.1782643049955368,
-0.493364155292511,
0.05440714955329895,
1.0381994247436523,
-0.11792562901973724,
0.5944480895996094,
-0.5279272198677063,
-0.03263937681913376,
-0.33146312832832336,
-0.25707024335861... |
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.
Input: Consider Input: ['901', 'X', 'W', 'D', 'm', 'M', '59', '4855', '6523', 'R', '9781', '8271', '4449', '2221', '8391']
Output: 45451
Input: Consider Input: ['457', '173', '6807', ... | Output: 31651
| 2 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.042529210448265076,
0.006953236646950245,
-0.7649561166763306,
-0.5670846700668335,
-0.311038613319397,
-0.2814117670059204,
0.6310348510742188,
0.4049781560897827,
-0.7084012031555176,
0.23434942960739136,
-0.5246344208717346,
-0.13158942759037018,
0.10176929086446762,
0.00441070832312... |
Detailed Instructions: In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweet... | Against | 8 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | zs_opt | [
-0.23571567237377167,
0.6219688653945923,
-0.07425487041473389,
0.22321614623069763,
-0.19436229765415192,
-0.566239595413208,
-0.05852339416742325,
0.9660696387290955,
0.039002902805805206,
0.6052271127700806,
-0.24253550171852112,
-0.5044355988502502,
0.3977610468864441,
-0.5390506386756... |
Detailed Instructions: In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absol... | 97.86 | 8 | NIv2 | task095_conala_max_absolute_value | zs_opt | [
0.045953333377838135,
-0.010341214016079903,
-0.1226663812994957,
0.37731820344924927,
0.008018146269023418,
-0.4045509696006775,
1.0766007900238037,
1.0271282196044922,
0.06001277267932892,
-0.2961307764053345,
-0.5687788724899292,
0.21343283355236053,
-0.050104133784770966,
-0.0336253717... |
Part 1. Definition
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Part 2. Example
Un bărbat pune brânză mărunțită pe o pizza.
Answer: A man is spreading shreded cheese on a pizza.
Explanation: In the given translation process, t... | Bush, however, also lashed out at the terrorist bombings in Saudi Arabia that killed at least 29 people -- including a number of Americans. | 7 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
0.260850191116333,
0.5797047019004822,
0.4641645848751068,
-0.43761080503463745,
-0.09750759601593018,
0.017362575978040695,
1.255416750907898,
0.7945364117622375,
0.5211719274520874,
0.44971492886543274,
-0.2512594163417816,
0.8624150156974792,
-0.21411673724651337,
-0.35727575421333313,
... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
See one example below:
Problem: Monterey is one of those.
Solution: מונטריי היא אחת מהם.
Explanation: The English sentence is correctly translated into Hebrew. The city `Monterey` is correctly translat... | איך הגענו למצב הזה שאנחנו משקיעים מאות דונמים ואלפי שעות להמתנה? | 4 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
0.20775467157363892,
0.5316425561904907,
0.31520968675613403,
-0.6241480708122253,
-0.3742133378982544,
-0.7677554488182068,
0.5175777673721313,
0.07735545933246613,
0.981069028377533,
-0.34381115436553955,
-0.39491337537765503,
0.41376829147338867,
-0.9011548757553101,
0.18660113215446472... |
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | 牙齿指在刀下行距。 | 6 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
-0.1433635950088501,
0.21163561940193176,
-0.3436232805252075,
-0.20703905820846558,
0.09732814878225327,
-0.6902365684509277,
-0.14100077748298645,
0.4828163981437683,
-0.11003324389457703,
-0.04350270330905914,
-0.5055116415023804,
0.019741421565413475,
-0.31298553943634033,
-0.054091274... |
Part 1. Definition
In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Part 2. Example
Context: D... | Answer: David Gilmour | 7 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
-0.3813321590423584,
0.8179432153701782,
-0.40876227617263794,
-0.09660007059574127,
-0.19321699440479279,
-0.40616878867149353,
0.7670843601226807,
0.6975325345993042,
0.3702746629714966,
-0.28475141525268555,
-0.4512149691581726,
0.002406387124210596,
-1.0974600315093994,
-0.047471757978... |
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 list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
7, 13, ['5817', 'e', 'O', 'F', 'R', ... | K, J, Q
| 0 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
-0.0922393798828125,
0.20094603300094604,
-0.7254961729049683,
0.09450708329677582,
0.10805467516183853,
-0.8526487946510315,
0.8700246214866638,
0.31137633323669434,
-1.000071406364441,
0.1083906888961792,
-0.6821436882019043,
0.11785964667797089,
-0.29614537954330444,
0.2903152406215668,... |
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrect end sentence.
Exampl... | B | 3 | NIv2 | task297_storycloze_incorrect_end_classification | fs_opt | [
-0.22813403606414795,
0.9405269026756287,
-0.3858383297920227,
-0.5484102368354797,
-0.2615184187889099,
-0.4970516264438629,
0.11287287622690201,
1.015570044517517,
0.06722965836524963,
0.16005784273147583,
-0.2147538661956787,
-0.02291610836982727,
-0.06758411228656769,
0.028322447091341... |
Instructions: In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Input: English: We are now in a third period: in this third period, the composition of the bodies which wield polit... | No | 3 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
0.047862499952316284,
0.6591649651527405,
0.5248770713806152,
0.22939029335975647,
0.30025002360343933,
-0.8669895529747009,
0.6438291668891907,
0.7385272979736328,
-0.12679320573806763,
0.7279864549636841,
0.49535030126571655,
0.36072883009910583,
-0.2878127992153168,
-0.6091709136962891,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a ... | Yes | 1 | NIv2 | task1517_limit_classfication | zs_opt | [
-0.49027663469314575,
0.4182068109512329,
0.2563193142414093,
0.47435852885246277,
-0.3587283492088318,
-0.11041845381259918,
0.48262107372283936,
0.7152121067047119,
0.24186629056930542,
0.1192641407251358,
-0.3307262659072876,
-0.5475099682807922,
-0.2712729573249817,
0.17693302035331726... |
Detailed Instructions: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update pro... | weakener | 8 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.03133590519428253,
0.3002873659133911,
-0.18888521194458008,
-0.21612146496772766,
-0.16920244693756104,
-1.2099655866622925,
1.1980438232421875,
1.1983716487884521,
0.439115434885025,
-0.4653584957122803,
-0.9485637545585632,
-0.4472535252571106,
-0.6110323071479797,
0.14927181601524353... |
You are given a statement written in Tamil. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
[Q]: Statement: ஐரோப்பிய குங்குமப்பூப் பயிர் செய்கை ரோமர்களின் ஆட்சி வீழ்ச்சியுற்றதைத் தொடர்ந்து வெகுவாகக் குறைந்தத... | அனக்காவூர்
| 5 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | fs_opt | [
0.3673207461833954,
0.5501657128334045,
0.1082753837108612,
0.05026409775018692,
0.12951238453388214,
-1.2060719728469849,
0.18201100826263428,
0.8891016244888306,
-0.03656179830431938,
0.30775076150894165,
0.05760188400745392,
0.4555423855781555,
-0.3543238043785095,
-0.26892441511154175,... |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Input: Consider Input: Sentence: 'a girl and her dog walk past a bike'. How many words start with the letter 'a' in the sentence.
Output: 3
Input: Consider Input: Sentence: 'a dog o... | Output: 1
| 2 | NIv2 | task162_count_words_starting_with_letter | fs_opt | [
-0.192015141248703,
0.6858574151992798,
-0.5607542991638184,
-0.22846569120883942,
-0.08283570408821106,
-0.08979398757219315,
-0.28719672560691833,
0.8946099281311035,
0.3610476851463318,
-0.6623549461364746,
-0.2927907705307007,
0.10070236027240753,
0.32863956689834595,
-0.22801977396011... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Example: Article: Homework can put you ... | Solution: No | 5 | NIv2 | task310_race_classification | fs_opt | [
0.2750839591026306,
-0.4206329584121704,
0.1130431592464447,
0.19904442131519318,
0.4153948128223419,
-0.7263940572738647,
1.0430936813354492,
0.8983393907546997,
-0.3767464756965637,
0.27103155851364136,
0.05836869776248932,
0.13442063331604004,
0.09155866503715515,
0.2252023071050644,
... |
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 match reality, (3) is when an individual has a false belief about another in... | green_drawer
| 0 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
0.19551752507686615,
-0.4723765254020691,
-0.417641282081604,
0.30829840898513794,
-0.3389623165130615,
-0.7024430632591248,
-0.2255505472421646,
0.6679335832595825,
-0.14462029933929443,
-0.22908568382263184,
-0.2028520703315735,
0.3922450840473175,
-0.2927481234073639,
0.3769479990005493... |
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".
One example: Context: Tracy didn't go home ... | False | 6 | NIv2 | task384_socialiqa_question_classification | fs_opt | [
0.21749940514564514,
0.5586214065551758,
0.2959705591201782,
0.06490817666053772,
-0.1005898043513298,
-0.3316405415534973,
0.6660474538803101,
0.3662298917770386,
0.1647472381591797,
0.1641293317079544,
-0.5501238703727722,
-0.2156027853488922,
-0.33423593640327454,
-0.04731407016515732,
... |
You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an i... | stereotype
| 7 | NIv2 | task319_stereoset_classification_profession | fs_opt | [
-0.552370011806488,
0.5464044809341431,
0.3205130696296692,
0.30862414836883545,
0.24862916767597198,
0.0898338332772255,
0.14337299764156342,
0.9739519953727722,
0.6242668032646179,
-0.1484326720237732,
-0.5778700113296509,
0.04889339953660965,
-0.5839354991912842,
-0.3699113726615906,
... |
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun ph... | FRANKFURT <B-LOC> 1996-08-23 | 3 | NIv2 | task610_conllpp_ner | fs_opt | [
0.4017288386821747,
-0.2504408359527588,
0.19348716735839844,
0.6610549688339233,
0.17435979843139648,
-0.544413149356842,
-0.043916501104831696,
0.9277139902114868,
-0.5896544456481934,
0.14815133810043335,
-0.30120018124580383,
0.31139513850212097,
-0.49592286348342896,
0.665365636348724... |
You will be given a definition of a task first, then some input of the task.
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 concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and wil... | 879Kf | 1 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.22774797677993774,
0.4197095036506653,
-0.3455948829650879,
-0.7700530290603638,
-0.0019158869981765747,
0.21362048387527466,
0.24905918538570404,
-0.38947397470474243,
-0.23133930563926697,
0.159000962972641,
-0.8348899483680725,
0.056010909378528595,
0.14650678634643555,
-0.2349435091... |
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anythi... | C
| 5 | NIv2 | task309_race_answer_generation | fs_opt | [
0.5314559936523438,
0.049123406410217285,
-0.3861316442489624,
-0.2873026132583618,
0.15378201007843018,
-0.09931755065917969,
1.2273130416870117,
0.6038439869880676,
-0.28113868832588196,
-0.16245073080062866,
0.1463393121957779,
0.30027881264686584,
-0.5677169561386108,
0.026595223695039... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Problem:ולמעשה, זה קורה בכל הרשת, ככל שמתקדמים פנימה. כל אחד שתבחרו, כאשר הם מציעים מועמד אקראי.. כאשר אדם אקראי מציע חבר שלו אנו מתקרבים לכיוון מרכז הרשת.
Solution: | و في الواقع ، هذا يحدث في جميع أنحاء الشبكة كلما أتجهت للداخل كل شخص تختاره ، عندما يرشح عشوائيا عندما شخص عشوائي يرشح صديق لهم فأنك تتحرك أقرب إلى مركز الشبكة | 8 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.4324260354042053,
0.5342329740524292,
-0.14485964179039001,
-0.7705858945846558,
-0.6485984921455383,
0.5814023017883301,
1.2863523960113525,
-0.4149490296840668,
0.5991337895393372,
-0.012209884822368622,
-0.7103511691093445,
0.22333914041519165,
-1.1065974235534668,
0.1229589581489563... |
Part 1. Definition
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Part... | True | 7 | NIv2 | task494_review_polarity_answer_generation | fs_opt | [
-0.19603769481182098,
-0.2105763852596283,
-0.035046063363552094,
-0.15095411241054535,
0.48512908816337585,
-1.0553480386734009,
0.9238395690917969,
0.5535268783569336,
0.43027999997138977,
0.14567632973194122,
-0.3296663165092468,
-0.012064945884048939,
-1.178393840789795,
-0.45576405525... |
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 integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that st... | [-474, -959] | 1 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.4629192054271698,
0.20265251398086548,
-0.269397497177124,
0.023367760702967644,
0.06994510442018509,
0.2807100713253021,
0.7129149436950684,
0.11439009010791779,
-0.42303919792175293,
0.42622944712638855,
-0.3757411539554596,
-0.32787442207336426,
-0.30072230100631714,
-0.2232491225004... |
Given the task definition and input, reply with output. In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
The thought of an incident of this kind occurring in t... | La idea de que un accidente de este tipo ocurra en un futuro próximo debe hacer que su cabeza y las de sus funcionarios se concentren intensamente. | 5 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
-0.5369437336921692,
0.9381042122840881,
0.39976853132247925,
0.06768126785755157,
-0.249382883310318,
-0.15412753820419312,
0.2842808663845062,
0.655671238899231,
0.22580869495868683,
-0.4700772762298584,
-0.5398848056793213,
0.10088350623846054,
-0.441025972366333,
0.14518722891807556,
... |
Teacher:Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
Teacher: Now, understand the problem? Solve this instance: concept: Wolfgang Amadeus Mozart question: what did mozart do to become famous?
Student: | ['Composer'] | 6 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
0.19358986616134644,
1.0416367053985596,
0.6412189602851868,
-0.40447375178337097,
-0.12189654260873795,
-0.5039770603179932,
0.5182815790176392,
-0.25587552785873413,
0.6521884799003601,
-0.2720896601676941,
-0.15365494787693024,
0.5423017740249634,
-1.2138736248016357,
-1.257792472839355... |
Part 1. Definition
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Part 2. Example
Tagalog sentence: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams
Answer: Roger Federer was the first player to win 20 Grand Slams
Exp... | Kung ganoon pala ay napakawalang-kwenta niya palang live-in partner noon? Ni hindi man lang pala niya naipadama kay Basty na mahalaga ito sa kanya in so many ways. In fact he was his life. | 7 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
0.27972468733787537,
0.248969167470932,
-0.34513533115386963,
0.06743549555540085,
0.4167640209197998,
-0.822333812713623,
0.773139238357544,
0.8516228199005127,
-0.0368741899728775,
-0.038163382560014725,
-0.2532239854335785,
0.6155790090560913,
-0.8931735754013062,
-0.4503570795059204,
... |
Definition: In this task, you are given a sentence and question which can be answered using the sentence. Your task is to answer the question using the information from the sentence. The answer to the question is unique and it is a continuous text span from the sentence.
Input: Sentence: Produced in Australia , it star... | it | 2 | NIv2 | task1520_qa_srl_answer_generation | zs_opt | [
0.0070734331384301186,
0.5350983738899231,
-0.3148649036884308,
-0.23575852811336517,
0.02625029720366001,
0.2933500111103058,
0.1946202516555786,
0.5598862171173096,
-0.005131574813276529,
-0.193519726395607,
0.008244013413786888,
0.2994392514228821,
-0.5744372010231018,
0.213965937495231... |
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
This girl found herself in an irritating situation.
anger
Latoya feels ecst... | fear
| 0 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.6091916561126709,
0.06628216058015823,
0.2202727347612381,
-0.3214472234249115,
-0.4368012547492981,
-0.38950490951538086,
0.5782685279846191,
0.5248926877975464,
0.305307537317276,
-0.0744914636015892,
-0.5965073108673096,
-0.4622747302055359,
-0.5333282947540283,
0.12836766242980957,
... |
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the inde... | (6, 7) | 6 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.04289809614419937,
0.563559353351593,
-0.001184923225082457,
-0.6694374084472656,
0.14911890029907227,
-0.05308663845062256,
0.23965425789356232,
0.6221078634262085,
-0.0714268833398819,
-0.21293440461158752,
-0.06807617843151093,
-0.30944788455963135,
-0.5987153053283691,
-0.0522735305... |
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Hate it! Dnt hold ur tablet secure. My brand new $600 tablet fell out and broke. I was do pist. Dnt recomnend this product | Negative Review | 0 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
0.05194739252328873,
0.06960780918598175,
-0.2457686811685562,
-0.03839084133505821,
-0.01359439268708229,
-1.0660028457641602,
0.13207176327705383,
0.5633682012557983,
0.342896044254303,
0.41173678636550903,
-0.47234147787094116,
0.11131739616394043,
-0.43085622787475586,
-0.5967346429824... |
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... | Solution: OFFENSIVE | 5 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-1.0773749351501465,
0.5773402452468872,
0.6087650656700134,
0.5862604379653931,
-0.30788034200668335,
-0.6857693791389465,
0.5912634134292603,
0.3041987121105194,
0.5879561901092529,
-0.00514983432367444,
0.20042943954467773,
-0.23641885817050934,
-0.4606044590473175,
-0.8781809210777283,... |
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: blue_bathtub
| 2 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.18469715118408203,
-0.4781625270843506,
-0.4424508810043335,
-0.034797586500644684,
-0.03880014270544052,
-0.2379959523677826,
-0.12449657171964645,
0.743415892124176,
-0.07658487558364868,
-0.16469448804855347,
-0.12113451957702637,
0.419111967086792,
-0.09470874071121216,
0.35390219092... |
Given the task definition and input, reply with output. 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... | yes | 5 | NIv2 | task242_tweetqa_classification | zs_opt | [
-0.6904773116111755,
0.6507340669631958,
-0.004393158946186304,
0.6125331521034241,
0.2797257602214813,
0.23936715722084045,
0.1777462661266327,
0.3842774033546448,
0.08227690309286118,
0.4004449248313904,
-0.43545013666152954,
0.13379952311515808,
-0.23568788170814514,
0.02326558902859687... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Input: Consider Input: و حالا ؟ زنم مسئول سرمایه گذاری هاست.
Output: وحاليا ؟ تُسيِّر زوجتي استثماراتنا.
Input: Consider Input: خوب ، حالا باید فکر کنم: این مدل علمی من چیز متفاوتی پیشنهاد می کند. و به هر حال ، من قابلیت ه... | Output: يعني هذه أصول الدولة.
| 2 | NIv2 | task1268_ted_translation_fa_ar | fs_opt | [
-0.47760117053985596,
0.4484338164329529,
-0.31929105520248413,
-0.8120769262313843,
-0.3087097108364105,
0.3770846426486969,
0.674973726272583,
0.4379792809486389,
1.0988423824310303,
-0.3585417568683624,
-1.3849067687988281,
0.8372187614440918,
-0.7311350107192993,
-0.3393270969390869,
... |
Detailed Instructions: 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
Q: Event:PersonX has never met. Int... | sad also | 9 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.6044066548347473,
0.05019830912351608,
0.06828220933675766,
-0.37321990728378296,
-0.5135304927825928,
-0.89589524269104,
1.300736665725708,
0.3569934368133545,
0.05694188177585602,
-0.13670387864112854,
0.586459755897522,
-0.04284293204545975,
-0.4938730299472809,
0.2952885329723358,
... |
Given an abstract, and a few options, indicate if any of the given options appropriately describe the given abstract. If any of them is a proper keyword, answer 'Yes', otherwise answer 'No'.
Abstract: Nomifensine, an antidepressant used for eight years in Britain, was particularly popular in the north west of England.... | No | 0 | NIv2 | task623_ohsumed_yes_no_answer_generation | zs_opt | [
0.01803603768348694,
0.3282632827758789,
0.2795538008213043,
-0.38933348655700684,
0.16240543127059937,
-0.7630645632743835,
0.3505181074142456,
0.8311281204223633,
0.8795394897460938,
-0.14773806929588318,
-0.3838285505771637,
0.4061026871204376,
-0.6200413703918457,
0.10154116153717041,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.