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 |
|---|---|---|---|---|---|---|
Detailed Instructions: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Q: Very compact, well made, helps me level the camera when I set it on sloped surfaces and it stays in place due to the rubber feet. For the price and size it's a great alternative.
A: | Positive | 9 | NIv2 | task493_review_polarity_classification | zs_opt | [
-1.0029418468475342,
-0.4923529624938965,
-0.08174668252468109,
0.26349836587905884,
0.5560863614082336,
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-0.04439445212483406,
0.812944769859314,
-0.07221270352602005,
0.8365858197212219,
-0.16512945294380188,
0.08915184438228607,
-0.403974711894989,
-0.011227253824472... |
Given the task definition and input, reply with output. In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given pr... | Unidentifiable | 5 | NIv2 | task350_winomt_classification_gender_identifiability_pro | zs_opt | [
-1.6832280158996582,
0.7916011214256287,
0.0651048868894577,
-0.3972539007663727,
0.024146568030118942,
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-0.5742108821868896,
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0.664516806602478,
-0.022967495024204254,
-0.7234151363372803,
0.23273856937885284,
-0.4024302363395691,
-0.25586676597595215... |
You will be given a definition of a task first, then some input of the task.
You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Paragraph: Its harder to overcome friction between heavier objects and the floor t... | baseball | 1 | NIv2 | task1731_quartz_question_answering | zs_opt | [
0.5096461176872253,
0.2665255069732666,
-0.6908549070358276,
0.6578289270401001,
0.21530365943908691,
-0.3268853724002838,
0.8129042983055115,
0.4775778651237488,
0.7030234932899475,
-0.35658323764801025,
-0.13072454929351807,
0.6451870799064636,
-0.23869138956069946,
0.18124637007713318,
... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | walk thrice after jump opposite left thrice
| 1 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.325137197971344,
0.552111029624939,
-0.6530704498291016,
0.11122849583625793,
0.0565263107419014,
0.4338139295578003,
-0.05594439059495926,
0.8272625207901001,
-0.39126163721084595,
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-0.7038764953613281,
-0.22067791223526,
-0.6007117033004761,
-0.2548358142375946,
... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question ... | Output: #1 return the UN forces
#2 return men of #1
#3 return #2 throughout the course of the battle
#4 return #2 at the start of the battle
#5 return number of #3
#6 return number of #4
#7 return the difference of #5 and #6
| 2 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.9741312265396118,
-0.07826931029558182,
-0.853235125541687,
0.5118178129196167,
0.30249470472335815,
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-0.6169185638427734,
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-0.025505661964416504,
0.7211872339248657... |
In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
One example: Swedish: Jag förklarar debatten avslutad.
English: The debate is closed.
Sol... | No | 6 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
-0.015516988933086395,
0.38072851300239563,
0.40865814685821533,
0.1417519897222519,
0.1617688238620758,
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0.5658637285232544,
1.0186570882797241,
-0.34561920166015625,
0.11399706453084946,
... |
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
Let me g... | 5240 | 8 | NIv2 | task087_new_operator_addsub_arithmetic | fs_opt | [
-0.3599967956542969,
0.7253018617630005,
-0.7011899948120117,
-0.1427626609802246,
-0.668304443359375,
-0.6222593784332275,
0.7657617330551147,
1.3995602130889893,
0.8934550285339355,
-0.05480131506919861,
-0.5709813833236694,
-0.3392946720123291,
-0.23887960612773895,
0.05209556967020035,... |
You will be given a definition of a task first, then some input of the task.
In this task, given a sentence in the English language, your task is to convert it into the Chinese language.
It began its existence flying a small 15 seat aircraft between Waterford and London Gatwick with the small aim of breaking the duopo... | 它最初是在沃特福德和伦敦盖特威克机场之间运营一架15座的小型飞机，目的是打破当时由英国航空公司和爱尔兰航空公司把持的伦敦-爱尔兰航线的双头垄断。 | 1 | NIv2 | task548_alt_translation_en_ch | zs_opt | [
-0.8268567323684692,
1.1997671127319336,
-0.10842293500900269,
-1.0058311223983765,
0.07510817050933838,
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-0.43924230337142944,
0.479074060916900... |
Q: In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions sh... | Question: In what year is the movie set?, Answer: 1953 | 7 | NIv2 | task182_duorc_question_generation | zs_opt | [
0.7369149923324585,
0.16600653529167175,
-0.17594702541828156,
0.031622372567653656,
0.850487470626831,
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-0.2734716236591339,
-0.5968096256256104,
-0.03945999592542648,
-0.5180214643478394,
0.12325113266706467,... |
A text is given in Hindi. Translate it from the Hindi language to the Oriya language. The translation must not omit or add information to the original sentence.
One example: ଏହି ପ୍ରସଙ୍ଗରେ ନୀତି ପ୍ରଣୟନ ସମୟରେ ଉଚ୍ଚସ୍ତରୀୟ କମିଟିର ସୁପାରିସଗୁଡ଼ିକୁ ପେଟ୍ରୋଲିୟମ ଏବଂ ପ୍ରାକୃତିକ ବାଷ୍ପ ମନ୍ତ୍ରଣାଳୟ ବିବେଚନା କରିବ ବୋଲି ସୂଚନା ମିଳିଛି ।
Soluti... | जीएसटी कानून में उल्लिखित मुनाफारोधी उपाय यह सुनिश्चित करने के लिए संस्थागत ढांचे की व्यवस्था करती है कि वस्तुओं और सेवाओं की आपूर्ति पर इनपुट टैक्स क्रेडिट और जीएसटी की घटी हुई दरों का पूर्ण लाभ उपभोक्ताओं तक पहुंचे। | 6 | NIv2 | task986_pib_translation_oriya_hindi | fs_opt | [
0.16566921770572662,
0.5202832818031311,
-0.3422110676765442,
0.29780489206314087,
0.10030093044042587,
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0.3511170744895935,
0.6752290725708008,
-0.4241514205932617,
0.2956082820892334,
-0.7155073881149292,
-0.10417602211236954,
0.09478525817394257,
0.40308183431625366,
... |
Instructions: In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Input: Product is always excellent. It is very hard to find Packaging in any smaller sizes. still ... | Glitterati candy | 3 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
-0.4761180877685547,
0.42660123109817505,
0.1066623330116272,
-0.7540717124938965,
-0.23641201853752136,
-0.3227158784866333,
0.6704568862915039,
0.30244162678718567,
-0.352494478225708,
0.8762328624725342,
-0.1917322278022766,
-0.4020959734916687,
-0.6094722747802734,
0.1864396333694458,
... |
Instructions: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Input: Ther... | not wanting to go a to a party | 3 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
-0.30773842334747314,
0.4905005097389221,
0.3767157196998596,
-0.12364029139280319,
-0.49652040004730225,
-0.7035658359527588,
-0.2779633104801178,
0.06046854332089424,
0.23547354340553284,
0.38160526752471924,
0.07715724408626556,
0.5967663526535034,
-0.8500741124153137,
-0.05615880340337... |
Teacher:In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Teacher: Now, understand the problem? Solve this instance: Don't expect this to last. Consider another brand.
Student: | It's unfortunate that SoundPEATS products aren't built for the long-haul. | 6 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
-0.3626633584499359,
0.10904233157634735,
0.796755313873291,
-0.7867475748062134,
-0.1427965611219406,
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0.07281336933374405,
0.571378767490387,
0.176665797829628,
0.37365466356277466,
0.2069205343723297,
0.019236193969845772,
-0.4624330997467041,
-0.8392461538314819,
... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sente... | 2. | 9 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
0.1791403442621231,
0.3036035895347595,
-0.03372092545032501,
-0.38314288854599,
0.19093896448612213,
-0.2486664205789566,
0.5900774598121643,
0.864902913570404,
-0.3013993501663208,
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0.27217257022857666,
-1.1028814315795898,
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... |
Given the task definition, example input & output, solve the new input case.
Given a scientific question, generate a correct answer to it.
Example: Who proposed the theory of evolution by natural selection?
Output: darwin
This is a direct fact that Charles Darwin proposed the theory of evolution.
New input case for yo... | dna | 1 | NIv2 | task591_sciq_answer_generation | fs_opt | [
-0.2970389723777771,
0.15104365348815918,
-0.2179776430130005,
0.10961209237575531,
-0.6062017679214478,
0.19083161652088165,
-0.5949383974075317,
0.18102233111858368,
0.29365161061286926,
0.25090765953063965,
-0.5528593063354492,
0.21964144706726074,
-0.5085321068763733,
-0.34530210494995... |
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
One example: Jag förklarar debatten avslutad.
Solution is here: The debate ... | If it functions well, if we are satisfied, if the Commission has basically acted correctly, why the need for the modification? | 6 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
-0.12294630706310272,
0.6357924342155457,
0.6775193214416504,
-0.6205784678459167,
0.2249464988708496,
-0.5816838145256042,
0.8259605169296265,
-0.005342906806617975,
0.6861566305160522,
0.021587148308753967,
0.30844709277153015,
0.4379492998123169,
-0.6655192375183105,
0.1516810953617096,... |
Part 1. Definition
You are given a sentence in English. Your job is to translate the English sentence into Galician.
Part 2. Example
Now, it's next door, or in my house.
Answer: Agora, está ao lado, ou na miña casa.
Explanation: The English sentence is correctly translated into Galician, because the meaning is preserve... | Cal é a imaxenería de Deus? | 7 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
-0.5995578765869141,
1.0829362869262695,
0.22131264209747314,
-0.5325987935066223,
-0.2066846489906311,
-1.208475112915039,
0.41371482610702515,
1.1457265615463257,
0.04298262670636177,
-0.15434248745441437,
-0.5216280817985535,
0.3223837614059448,
-1.1131303310394287,
-0.06020307540893555... |
Q: In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a different connotation or meaning.
Sentence1: Can gabapentin work for headaches... | Similar | 7 | NIv2 | task1645_medical_question_pair_dataset_text_classification | zs_opt | [
-0.45652785897254944,
0.14737266302108765,
-0.2520437240600586,
-0.280014306306839,
-0.568092942237854,
-0.7726248502731323,
0.8854141235351562,
0.5558114051818848,
0.3502163589000702,
-0.033088453114032745,
-0.9530670642852783,
0.3726668655872345,
-0.28159627318382263,
-0.3505217432975769... |
Given the task definition and input, reply with output. In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which te... | c | 5 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.459079384803772,
0.501181423664093,
-0.4831233620643616,
0.3225347101688385,
-0.24052952229976654,
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0.9881146550178528,
0.39691829681396484,
0.553413450717926,
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-0.5922050476074219,
0.03695889934897423,
-0.4944549798965454,
0.2651350200176239,
... |
Detailed Instructions: 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, outd... | geographical property | 9 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
0.11941294372081757,
0.454757422208786,
-0.6410768032073975,
-0.40977370738983154,
0.043390773236751556,
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-0.1841476857662201,
0.7384624481201172,
0.22759225964546204,
-0.0023020096123218536,
0.01711301878094673,
0.426200270652771,
-0.4091035723686218,
-0.3090052604675... |
Teacher:In this task, you need to count the occurrences of the given word in the given sentence.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'the woman is going to blow out the candles on the piece of cake'. Count the occurrences of the word 'the' in the given sentence.
Student: | 3 | 6 | NIv2 | task158_count_frequency_of_words | zs_opt | [
-0.18947169184684753,
0.886060357093811,
0.009192859753966331,
-0.5108330249786377,
-0.32856452465057373,
-0.3078446388244629,
-0.5067498087882996,
0.8173069357872009,
-0.08474303781986237,
0.25311383605003357,
-0.5023146867752075,
-0.6567918062210083,
-0.4046972990036011,
0.22528615593910... |
In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
She shif... | Neither | 0 | NIv2 | task329_gap_classification | zs_opt | [
-0.5025880336761475,
0.5711421966552734,
0.07012574374675751,
0.3196585774421692,
0.16769737005233765,
-0.22305414080619812,
0.7708353996276855,
0.804821252822876,
0.17501714825630188,
-0.032382018864154816,
-0.6144262552261353,
-0.5744296312332153,
-0.3176882863044739,
0.02762053720653057... |
instruction:
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
question:
Di que todo o que vedes llo debe aos espaguetis.
answer:
היא אומרת שכל מה שאתם רואים היא חייבת לספגטי.
question:
Problemas similares están xurdindo tamén no Leste.
answer:
בעיות דומות מתעוררות גם ב... | אז זה חלק ממה שאנחנו מחפשים.
| 9 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.664642333984375,
0.7190791964530945,
-0.18199312686920166,
-0.7001247406005859,
-0.6439241170883179,
-0.47540873289108276,
0.48025959730148315,
-0.38446328043937683,
-0.0468607097864151,
-0.9744398593902588,
-0.6823995113372803,
0.36034315824508667,
-0.5381284952163696,
0.53323757648468... |
Part 1. Definition
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Part 2. Example
جناب گرانت خیلی دلش میخواست روز یکشنبه بعد از آن همه خستگی روزانه بنشیند و بوقلمون را بخورد.
Answer: because I know how much more Dr. Grant would enjoy it on Sunday after the fatigues of... | and kind of love that he had attributed to him in the first letter, | 7 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.9296183586120605,
0.44988590478897095,
-0.035468101501464844,
-0.3759258985519409,
-0.37392881512641907,
-0.9053040146827698,
1.0724592208862305,
0.04561561346054077,
0.3878514766693115,
-0.6354774832725525,
-0.3831203281879425,
0.5604625940322876,
-0.43983742594718933,
0.45327603816986... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and optio... | A | 1 | NIv2 | task329_gap_classification | zs_opt | [
-0.7942612171173096,
0.45212531089782715,
0.20343951880931854,
0.11195002496242523,
0.40308448672294617,
0.030826019123196602,
0.6359541416168213,
0.8927855491638184,
0.10779173672199249,
0.26045098900794983,
-0.020573167130351067,
0.1164475679397583,
-0.3419097661972046,
-0.92722296714782... |
Instructions: In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Input: Context_1 : War and Peace ("Jang Aur Aman") is a 2002 Indian documentary... | What do Anand Patwardhan and Tay Garnett have in common? | 3 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
0.5025812387466431,
0.1759529709815979,
-0.5584259033203125,
0.4244595766067505,
0.359884649515152,
0.13652174174785614,
0.4409557282924652,
0.919154942035675,
-0.41921406984329224,
0.5509335994720459,
-0.29863274097442627,
0.18904083967208862,
-0.5970082879066467,
-0.228462815284729,
0.... |
Definition: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Input: S... | No | 2 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.572529137134552,
0.39865541458129883,
0.3596988916397095,
0.11864838004112244,
-0.5613892078399658,
-0.3936614394187927,
0.16467663645744324,
0.42509540915489197,
0.4483986496925354,
-0.6508597135543823,
-0.9373956322669983,
-0.14844556152820587,
0.18661552667617798,
0.02563624642789364... |
Instructions: In this task, you are given dvd product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: Einer seiner Besten! . Hudson Hawk ist eine wriklich gut gelungene Komöd... | POS | 3 | NIv2 | task480_cls_german_dvd_classification | zs_opt | [
-0.22021161019802094,
-0.11206401884555817,
0.0033040065318346024,
-0.516480565071106,
0.3507573902606964,
0.1898161768913269,
1.3340985774993896,
0.1612139344215393,
0.3391551375389099,
0.4517208933830261,
-0.5916705131530762,
-0.8544661402702332,
-0.1569884717464447,
-0.517776370048523,
... |
Teacher:Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Teacher: Now, understand the problem? Solve this instance: What is the highest mountain in England?
Student: | scafell pike | 6 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
0.2841085195541382,
0.6336078643798828,
0.39329659938812256,
-1.0258476734161377,
-0.6402919292449951,
-0.7086931467056274,
0.8940954208374023,
0.5097368359565735,
-0.18108999729156494,
-0.960788369178772,
-0.25801441073417664,
0.44934648275375366,
-1.0761322975158691,
-0.13948339223861694... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Problem:私がその学生より賢いというのではなくアメリカの文化的経済的影響力のために私にはたくさんのアメリカの物語がありました
Solution: | Isto non é porque eu sexa unha persoa mellor ca ese estudiante, pero debido ao poder económico e cultural dos EE.UU. teño moitas historia de EE.UU. | 8 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-0.2938084304332733,
0.08225152641534805,
0.2925196886062622,
-0.9200946092605591,
-0.5390630960464478,
-1.6453667879104614,
-0.24883243441581726,
0.5365526080131531,
-0.23966065049171448,
-0.8805511593818665,
0.5955408215522766,
0.09922558069229126,
-1.2332797050476074,
-0.591792404651641... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you sho... | [1216, -24, 0, -16, 38, 46, -144, 10000, -53760]
****
| 4 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
-0.1898997575044632,
0.32084178924560547,
-0.8118584752082825,
-0.1848466396331787,
0.018993668258190155,
-0.2752729654312134,
0.8646782040596008,
0.6845017671585083,
-0.4858962297439575,
-0.2959805130958557,
-0.8779847025871277,
0.3782373070716858,
-0.682036817073822,
-0.3408545255661011,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Context_1 : Fam... | What internet mapping program operated by using satellite images of the earth features a flyover feature? | 1 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
0.22266890108585358,
0.21348640322685242,
-0.7675065994262695,
-0.10146017372608185,
0.36150574684143066,
-0.4230878949165344,
1.4847651720046997,
0.8589000105857849,
-0.20806285738945007,
0.14957764744758606,
-0.14446523785591125,
0.12502022087574005,
-0.2490636110305786,
0.36366724967956... |
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.
Input: Consider Input: PqUTlorUZhFiQhyrqT
Output: PqTlrZhFQhyrqT
Input: Consider Input: olivwAOowEgXA
Output: lvwwgX
Input: Conside... | Output: TXvcWBm
| 2 | NIv2 | task365_synthetic_remove_vowels | fs_opt | [
0.31362417340278625,
1.2055559158325195,
-0.46022626757621765,
-0.48344606161117554,
0.5593590140342712,
-0.5869216918945312,
0.6905741691589355,
0.24958649277687073,
0.36347800493240356,
-0.3332284688949585,
-0.011140242218971252,
-0.2721412777900696,
-0.10058239102363586,
-0.809660315513... |
Q: A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
எனது முந்தைய ஆட்சிக் காலத்தில், பிரதமர் என்ற முறையில் முதலில் பூடானுக்குப் பயணம் மேற்கொள்வது என்பது இயல்பான தேர்வாக இருந்தது.
A: | મારા છેલ્લા કાર્યકાળ દરમિયાન પ્રધાનમંત્રીના રૂપમાં મારી પહેલી યાત્રા માટે ભૂતાનની પસંદગી સ્વાભાવિક હતી. | 7 | NIv2 | task1064_pib_translation_tamil_gujarati | zs_opt | [
0.09538349509239197,
0.4154753088951111,
-0.16786077618598938,
-0.14735031127929688,
0.14434829354286194,
-1.328047752380371,
0.2476164996623993,
0.30546510219573975,
-0.4561615586280823,
-0.36270657181739807,
-0.4924515187740326,
0.22662457823753357,
-0.8169625401496887,
0.262422323226928... |
Teacher:In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additiona... | weakener | 6 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.1330820918083191,
0.2107296586036682,
-0.17153644561767578,
-0.009176264517009258,
-0.1836748868227005,
-1.0761884450912476,
1.2090059518814087,
1.204284906387329,
0.40259164571762085,
-0.7114020586013794,
-0.974649965763092,
-0.2501481771469116,
-0.49224239587783813,
-0.0501701980829238... |
Part 1. Definition
Given a sentence in Hindi, generate a new Hindi 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 prob... | आप इंजन आदेश कर सकते हैं जब डायल पर आता है। | 7 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
-0.6334086060523987,
0.8231028318405151,
0.5058560371398926,
-0.12882977724075317,
-0.5167934894561768,
-0.9424387216567993,
0.6703023314476013,
0.841740608215332,
-0.12195447832345963,
-1.0350643396377563,
-0.9428392052650452,
-0.12604260444641113,
-0.14691126346588135,
0.0863221585750579... |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Input: Vale.
Output: | Ok. | 3 | NIv2 | task1243_ted_translation_gl_it | zs_opt | [
-0.00307015934959054,
1.2971744537353516,
-0.0827021449804306,
-0.05978712439537048,
-0.3242552876472473,
-0.03933969512581825,
-0.23644417524337769,
1.5082225799560547,
-1.0077139139175415,
-0.444644570350647,
-0.26584282517433167,
0.10168567299842834,
0.24976937472820282,
0.2962749600410... |
Q: This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list... | DISSIMILAR | 7 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.4521254301071167,
0.5659556984901428,
0.20027858018875122,
-0.075792595744133,
-0.3184610605239868,
0.25236988067626953,
1.1731810569763184,
0.3530392348766327,
0.29422372579574585,
0.05420555919408798,
-1.0180609226226807,
-0.2991378903388977,
-1.1207373142242432,
0.48690974712371826,
... |
Definition: Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Input: The person dips out the rag and begins using it on wood. The person
Output: | places the silverware down and sprays the panel. | 2 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
0.342769980430603,
0.9137702584266663,
-0.20809298753738403,
-0.13886705040931702,
-0.459022581577301,
-0.046408992260694504,
-0.011624600738286972,
0.5916279554367065,
-0.06932508945465088,
-0.08636726438999176,
-0.7564865350723267,
0.07196567952632904,
-0.8280729651451111,
-0.27795520424... |
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... | No | 2 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.34432080388069153,
0.18292281031608582,
0.12536415457725525,
-0.07929550111293793,
-0.5456998944282532,
-0.538871169090271,
1.2408316135406494,
0.23619097471237183,
-0.3023672103881836,
-0.6268271207809448,
-0.5947692394256592,
-0.23301340639591217,
-0.5972031354904175,
0.381590634584426... |
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Example Input: Provides a satisfactory overview of the bizarre world of extreme athletes as several daredevils expr... | NEG
| 3 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-0.9151310920715332,
0.168226420879364,
0.06764980405569077,
0.11568376421928406,
-0.05014745518565178,
-0.2596951723098755,
0.929065465927124,
-0.028941195458173752,
0.08782472461462021,
-0.0942949652671814,
-0.541948676109314,
-0.3007396161556244,
-0.4088265895843506,
0.21719036996364594... |
Detailed Instructions: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your c... | a | 4 | NIv2 | task232_iirc_link_number_classification | fs_opt | [
0.05633796378970146,
0.3385079503059387,
-0.4296495020389557,
-0.04925434663891792,
0.1362670660018921,
-0.4934203624725342,
0.9155747294425964,
0.7232322692871094,
0.14582523703575134,
0.26419883966445923,
-0.25920799374580383,
-0.02703164890408516,
-0.3975106179714203,
0.2980029284954071... |
Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Input: Vejam os compositores clássicos, os melhores dos melhores.
Output: | Pensade nos compositores clásicos, os mellores dos mellores. | 3 | NIv2 | task1279_ted_translation_pt_gl | zs_opt | [
-0.8053354024887085,
0.8717737197875977,
-0.16442008316516876,
-0.18797048926353455,
-0.24631723761558533,
-0.3599381744861603,
0.11288156360387802,
0.2708143889904022,
-0.25157156586647034,
0.04121638089418411,
-0.46624019742012024,
-0.19427549839019775,
-0.10361702740192413,
-0.229735329... |
In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
[EX Q]: Un paciente acude a un servicio de urgencias hospitalarias presentando hematemesis franca. En la valoración inicial el paciente está pálido y sudoroso, tiene una frecuencia ... | The human papilloma virus (HPV) is involved in the pathogenesis of
| 6 | NIv2 | task1433_head_qa_language_translation_es_to_en | fs_opt | [
0.7756126523017883,
0.23169440031051636,
-0.4918825626373291,
-0.5551310777664185,
0.27778780460357666,
-0.9008843898773193,
0.22923359274864197,
0.7775360941886902,
0.20633582770824432,
0.2072153091430664,
0.5785796642303467,
0.20102819800376892,
-0.1632004678249359,
-0.6075206398963928,
... |
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... | green_suitcase | 6 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.24091173708438873,
-0.6569168567657471,
-0.2338322252035141,
0.05977204069495201,
-0.18210744857788086,
-0.35158097743988037,
0.292003333568573,
0.28040921688079834,
0.010077808052301407,
0.2737268805503845,
-0.23679950833320618,
0.6126168370246887,
0.054921478033065796,
0.08452651649713... |
instruction:
You are given a sentence in English. Your job is to translate the English sentence into Italian.
question:
Tell me what's wrong. I can't understand you.
answer:
Dimmi cosa e successo. Non riesco a capirti.
question:
The first frack job was in '47.
answer:
La prima fratturazione è stata fatta nel '47.
q... | Ma il problema con le fotocamere trappola è che i ricercatori devono tornare nella foresta di tanto in tanto per recuperare le immagini, e ci vuole molto tempo, specialmente se ci sono dozzine o centinaia di queste fotocamere piazzate nella foresta.
| 9 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
0.11062441021203995,
0.3974742293357849,
0.2613137364387512,
0.05451946705579758,
-0.32126498222351074,
-0.5308151245117188,
0.39511528611183167,
0.7694238424301147,
-0.4421526789665222,
-0.13394375145435333,
-0.036618225276470184,
-0.4643043875694275,
-0.5869443416595459,
0.90744960308074... |
Given the task definition and input, reply with output. You are given a statement written in Telugu. 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: బుద్ధుని అవశేషాలలోని ఎనిమిదవ భాగం భీమిలి సమీపంల... | బావికొండ | 5 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | zs_opt | [
-0.38414716720581055,
0.556860089302063,
-0.04114600270986557,
0.03779859095811844,
-0.059045128524303436,
-0.6728591322898865,
0.23617692291736603,
0.7226564288139343,
0.5608350038528442,
-0.2362729161977768,
-0.37982508540153503,
0.948442816734314,
-0.4663201570510864,
0.2466209530830383... |
Definition: Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is we... | Bad | 2 | NIv2 | task673_google_wellformed_query_classification | zs_opt | [
-0.6026378870010376,
0.22848007082939148,
0.06907311081886292,
-0.17578142881393433,
-0.24901340901851654,
-0.13533778488636017,
0.1291378140449524,
0.31469619274139404,
0.3330746293067932,
0.11511734127998352,
-0.8531655073165894,
0.23361711204051971,
-0.9192591309547424,
-0.0812964290380... |
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"
English: And the fact that coins are to have a national design on one side will make them even harder to identify.
Spanish:En ... | No
| 0 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
0.4496769607067108,
0.534153401851654,
-0.02971893548965454,
0.20703375339508057,
0.1215553879737854,
-0.5388058423995972,
0.9190120697021484,
0.9008828401565552,
0.039082687348127365,
0.36444586515426636,
0.2158292979001999,
0.8195526599884033,
-0.5587583780288696,
-0.07207921147346497,
... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Teacher: Now, understand the problem? Solve this instance: Lugares desfeitos pola guerra como Monrovia, a xente viña directa a ti.
Student: | במקומות שסועי קרבות כמו מונרוביה, אנשים הגיעו ישר אלינו. | 6 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-0.5735755562782288,
0.523779571056366,
0.2650742828845978,
-1.3942277431488037,
-0.14147847890853882,
-0.9233528971672058,
0.6684070229530334,
0.5863538980484009,
0.34272098541259766,
0.007503884378820658,
-0.06741957366466522,
-0.27551230788230896,
-1.1077430248260498,
-0.127747327089309... |
Given the task definition, example input & output, solve the new input case.
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to.... | Correct | 1 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
0.37328219413757324,
0.42515653371810913,
-0.1215227022767067,
0.4343292713165283,
0.45156681537628174,
-0.6392080783843994,
0.36164674162864685,
0.5032963752746582,
0.4229143261909485,
-0.5846834182739258,
-0.5596714019775391,
0.2771691083908081,
-0.5239172577857971,
-0.47876328229904175,... |
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 probability of it being... | bits zijn gemaakt van karton papier, een recycleerbaar materiaal. | 0 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.16412806510925293,
0.8096977472305298,
0.002759887371212244,
-0.2204156219959259,
-0.1252647340297699,
-0.4248400926589966,
-0.11945996433496475,
0.95528244972229,
0.22080275416374207,
-0.10244251042604446,
-0.45133185386657715,
1.1001321077346802,
-0.6923856735229492,
0.450974136590957... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
3, ['w', '273', '3987', 'J', 'm', 'v', '321', '8839', 'e', 'E', '5029', '1825', 't', 'a', '1257']
w, 273, 3987, ... | B, F, 2095, 8245, U, U, K, 933, 1533, 7895, c, 4095, f, 2649, 55, J
| 0 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
-0.12103068083524704,
0.13965903222560883,
-0.22137434780597687,
-0.9341779947280884,
-0.13120946288108826,
-0.3561908006668091,
0.40681248903274536,
0.10456114262342453,
-0.8371963500976562,
0.08416405320167542,
-0.9899537563323975,
0.2936739921569824,
0.21770671010017395,
-0.241510748863... |
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Q: We present a weakly-supervised data augmentation approach to improve Named Entity Recognition (NER) in a challengin... | Augmented bootstrapping approach combining information from a reference set with iterative refinements of soft labels to improve Name Entity Recognition from biomedical literature. | 4 | NIv2 | task668_extreme_abstract_summarization | zs_opt | [
-1.4744083881378174,
0.2191636860370636,
-0.4807424545288086,
-0.2676761746406555,
-0.7060924768447876,
-0.7617348432540894,
1.3047971725463867,
0.9132271409034729,
0.07905818521976471,
0.09731879085302353,
-0.6543964743614197,
0.19276495277881622,
-1.3873341083526611,
0.4940740764141083,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence and a category word that defines the relation between the input sentence and the output to be generated. Your job is to generate another sentence that satisfies... | No motorcycle racer is riding a red and black bike | 0 | NIv2 | task1613_sick_given_category_generate_sentence | fs_opt | [
-0.4746386408805847,
0.48966318368911743,
-0.026573006063699722,
-0.4147145748138428,
0.00980713963508606,
0.27070653438568115,
0.06371660530567169,
0.8114985823631287,
0.26433098316192627,
-0.4199405312538147,
-0.7085561752319336,
-0.4015628397464752,
0.44186121225357056,
0.18317113816738... |
Q: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that de... | and { only { filter_eq { all_rows ; championship ; dayton , oh } } ; eq { hop { filter_eq { all_rows ; championship ; dayton , oh } ; date } ; 8 february 1976 } } | 7 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.1814696490764618,
0.04674139246344566,
-0.28549250960350037,
0.3457367420196533,
0.41379863023757935,
-0.5990370512008667,
0.57330322265625,
0.4178321957588196,
0.1751566231250763,
-0.13961316645145416,
-0.3357437252998352,
0.0775219202041626,
-0.30126065015792847,
0.4477218985557556,
... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | Yes | 4 | NIv2 | task608_sbic_sexual_offense_binary_classification | zs_opt | [
-1.1786303520202637,
0.30460262298583984,
0.4033340811729431,
0.08338455855846405,
-0.415496289730072,
-0.011768445372581482,
0.5863202810287476,
0.5593628883361816,
-0.22145327925682068,
-0.07856489717960358,
0.07877272367477417,
-0.4252818822860718,
-0.5733199119567871,
-0.34856426715850... |
Detailed Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
Q: ദുഖത്തിന്റെ ഈ വേളയില് എന്റെ ചിന്തകള് അദ്ദേഹത്തിന്റെ കുടുംബത്തോടും അനുയായികളോടുമൊപ്പമാണ്, പ്രധാനമന്ത്രി പറഞ്ഞു.
A: | ଭୁବନେଶ୍ୱରରେ ଜାତୀୟ ଅବକ୍ଷୟ ନିୟନ୍ତ୍ରଣ ସମ୍ମିଳନୀ କେନ୍ଦ୍ରମନ୍ତ୍ରୀ ଧର୍ମେନ୍ଦ୍ର ପ୍ରଧାନଙ୍କ ଦ୍ୱାରା ଉଦ୍ଘାଟିତ | 9 | NIv2 | task979_pib_translation_malayalam_oriya | zs_opt | [
0.3944448232650757,
0.6252479553222656,
-0.15566857159137726,
-0.2363857626914978,
-0.28274238109588623,
-1.252532958984375,
0.7165274620056152,
0.17073121666908264,
-0.0713767409324646,
-0.3670038878917694,
-0.3858487606048584,
-0.2970038056373596,
0.10448947548866272,
0.4394393563270569,... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Q: If you're interested in giving it a try, I'd encourage you to go to the Scratch website.
A: | Se estiverem interessados em experimentar, convido-vos a visitar o sítio Web do Scratch. | 9 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
-0.40353918075561523,
0.04383136332035065,
0.07507342100143433,
-0.9317593574523926,
-0.05411282926797867,
-1.35638427734375,
-0.14253810048103333,
0.34615349769592285,
0.10560308396816254,
0.4489019513130188,
0.07160121202468872,
0.0033946505282074213,
-0.6688727140426636,
0.0908577144145... |
Instructions: In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Input: Statement: Microsoft's inclusion of IE with Win... | 2 | 3 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
-0.39819443225860596,
0.1697917878627777,
0.1875324696302414,
0.08898045122623444,
-0.015502359718084335,
-0.2904191315174103,
0.2295052707195282,
0.7850680947303772,
0.366086483001709,
0.27768152952194214,
-0.21502621471881866,
-0.7197141051292419,
0.026001086458563805,
-0.834229230880737... |
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Let me give you an example: when are ho... | Danny's father, Nick | 8 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.7017256021499634,
0.7763127088546753,
-0.08479738235473633,
0.16230198740959167,
-0.40531298518180847,
-0.5539014935493469,
1.2126128673553467,
0.4716557562351227,
-0.3622785806655884,
-0.22678184509277344,
-0.37759578227996826,
-0.29984790086746216,
-0.24291309714317322,
0.010068016126... |
Given the task definition and input, reply with output. 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 ... | [-14, -100, 60, -46, -84, -54] | 5 | NIv2 | task369_synthetic_remove_odds | zs_opt | [
-0.6933541297912598,
0.8121433258056641,
0.11967328190803528,
-0.5988670587539673,
0.2186203896999359,
-0.10140755772590637,
1.0319633483886719,
0.17807383835315704,
0.09113401919603348,
0.29846060276031494,
-0.6583025455474854,
-0.32571515440940857,
-0.26477283239364624,
-0.36147087812423... |
Detailed 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"
See one example below:
Problem: English: Resumption of the session
Spanish: Reanudación del período de s... | No | 4 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
-0.33308306336402893,
0.5783485174179077,
0.30924272537231445,
0.001326798927038908,
-0.2777094841003418,
-0.07242325693368912,
0.6336337924003601,
1.1029294729232788,
0.6508811712265015,
-0.01816587522625923,
-0.16336458921432495,
0.6088473796844482,
-0.7393372058868408,
0.151202902197837... |
The provided file includes inquiries about restaurants, and we ask you to translate those to the German language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloqui... | finde " italian " restaurants für mich | 6 | NIv2 | task117_spl_translation_en_de | fs_opt | [
-0.8040508031845093,
0.4930613338947296,
0.01866455376148224,
0.34895241260528564,
-0.11256136000156403,
-0.2949109971523285,
0.8426463603973389,
1.017827033996582,
0.1618386059999466,
-0.45219314098358154,
0.3793147802352905,
-0.0632200613617897,
-0.6420003175735474,
0.4502221941947937,
... |
Definition: A text is given in Oriya. Translate it from the Oriya language to the Tamil language. The translation must not omit or add information to the original sentence.
Input: ସଂସଦୀୟ ବ୍ୟାପାର ମନ୍ତ୍ରଣାଳୟର ଅଧିକାରୀ ଓ କର୍ମଚାରୀଙ୍କୁ ‘ସ୍ୱଚ୍ଛତା ଶପଥ’ କରାଇଲେ ଅର୍ଜୁନ ରାମ ମେଘୱାଲ
Output: | முத்ரா திட்டத்தில் இதுவரை பயன்பெற்றவர்களில் 74 சதவிதத்தினர் பெண்கள் என்றும் அவர் கூறினார். | 2 | NIv2 | task1073_pib_translation_oriya_tamil | zs_opt | [
-0.2259272187948227,
0.5460313558578491,
0.15101408958435059,
-0.015621007420122623,
-0.0813758596777916,
-1.0386428833007812,
-0.43312835693359375,
-0.018715139478445053,
-0.6635663509368896,
0.2179054617881775,
0.05562206357717514,
-0.44765084981918335,
-0.2347387969493866,
-0.0269600395... |
Detailed Instructions: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
See one example below:
Problem: what kind of film is Best Seller?
Solution: crime
Explanation: The answer is correct ... | Krzysztof Kieslowski, Krzysztof Piesiewicz | 4 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.7578636407852173,
0.11980747431516647,
-0.5278533697128296,
0.5673779845237732,
-0.20899836719036102,
0.22752562165260315,
0.27175211906433105,
0.02242300659418106,
0.22395841777324677,
-0.18938255310058594,
-0.3872319459915161,
0.07837440073490143,
-0.5698630213737488,
0.47144156694412... |
"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 1
| 6 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.8108245134353638,
0.6212608814239502,
0.3577602207660675,
0.4223725199699402,
0.09796495735645294,
-1.1250698566436768,
0.2667079567909241,
0.6330042481422424,
-0.11690795421600342,
-0.16600121557712555,
-0.6990573406219482,
0.27204298973083496,
-0.8801895976066589,
0.25322970747947693,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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 an... | yes | 0 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
-0.027220148593187332,
-0.28246426582336426,
-0.15265581011772156,
0.2478829324245453,
0.3525894284248352,
-0.15401777625083923,
0.3929915428161621,
0.39751338958740234,
0.14321938157081604,
-0.4440978169441223,
-0.5173386931419373,
0.09345708787441254,
-0.7200736999511719,
-0.139244258403... |
Given a sentence in Hindi, generate a new Hindi 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 being... | आप मंच पर एक हवाई जहाज़ पार करने के लिए सेवा का इस्तेमाल कर सकते हैं । | 9 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
-0.14938075840473175,
0.7121109962463379,
0.6117082238197327,
-0.22117215394973755,
0.18804404139518738,
-1.117997646331787,
0.025865472853183746,
1.0814367532730103,
-0.41026759147644043,
-0.5079135894775391,
-1.1678169965744019,
-0.2763572335243225,
-0.43629947304725647,
0.06337200105190... |
Teacher:In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs... | True | 6 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
-0.3561300039291382,
-0.2514708638191223,
0.42853450775146484,
-0.19163653254508972,
0.3265668749809265,
-0.707177460193634,
0.7141660451889038,
0.2987045645713806,
-0.08807696402072906,
0.553658127784729,
-0.04511824995279312,
-0.25525254011154175,
-1.1054624319076538,
0.04696163535118103... |
Given the task definition, example input & output, solve the new input case.
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... | yes | 1 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.6588216423988342,
0.22251948714256287,
0.5104995965957642,
0.4441739022731781,
0.14853814244270325,
-0.07634308934211731,
-0.35422995686531067,
0.4296746551990509,
-0.20769909024238586,
0.4404279887676239,
0.006920801475644112,
-0.047497041523456573,
0.3374285101890564,
-0.0297453738749... |
Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Input: Comment: "I could stand in t... | Threat | 3 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.3366745710372925,
0.4616824984550476,
0.6320644021034241,
0.5810390114784241,
0.3046279549598694,
-0.29304879903793335,
0.44426900148391724,
1.0197811126708984,
-0.025340938940644264,
0.6251199245452881,
0.29406285285949707,
-0.30615559220314026,
-0.6344389319419861,
-0.9235750436782837... |
Definition: A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: पण याच 40 वर्षात जर टूरिजमवर(पर्यटनावर) भर दिला असता तर आज संपूर्ण जग काश्मीर खो-याच्या पायाशी येऊन बसले असते, काश्मीर खो-यामध्ये ही क... | Brothers and sisters, Id like to tell the youth of Jammu and Kashmir that there are two ways before them to decide their destiny. | 2 | NIv2 | task1086_pib_translation_marathi_english | zs_opt | [
-0.009658374823629856,
0.7104189991950989,
-0.05533566325902939,
-0.25403252243995667,
-0.086758092045784,
-1.1883225440979004,
0.5914766788482666,
0.5741814374923706,
-0.3096701502799988,
0.1900368332862854,
0.05276036635041237,
0.47373032569885254,
-0.7380877137184143,
-0.191184550523757... |
Teacher:In this task you are given a premise and two alternatives in Haitian. 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 judgmen... | 2 | 6 | NIv2 | task1168_xcopa_commonsense_reasoning_ht | zs_opt | [
0.07519356161355972,
0.2618502378463745,
0.11460749804973602,
-0.1896589696407318,
-0.26850026845932007,
-1.0842434167861938,
0.32087382674217224,
0.991546630859375,
0.24015669524669647,
0.3209074139595032,
-0.8970100283622742,
0.09167405217885971,
-0.22185099124908447,
0.3886311650276184,... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Let me give you a... | 1, 2 | 8 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
0.12074972689151764,
0.008352474309504032,
-0.19037704169750214,
-0.7031092047691345,
0.49642109870910645,
-0.19751259684562683,
1.0072791576385498,
0.1800287961959839,
-0.4794120788574219,
0.30186793208122253,
-0.7556869387626648,
-0.23659542202949524,
-0.056839123368263245,
0.00048780383... |
Given the task definition and input, reply with output. In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwis... | no | 5 | NIv2 | task211_logic2text_classification | zs_opt | [
-0.026123937219381332,
-0.17858612537384033,
-0.13386428356170654,
0.29476797580718994,
0.43488776683807373,
-0.2759658992290497,
0.39718812704086304,
0.5929431915283203,
-0.016541846096515656,
-0.10778667032718658,
-0.615839958190918,
0.07372429221868515,
0.15634435415267944,
0.4460292458... |
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 Arabic.
アンドリューはちょっとした研究を続けていましたが他の人に教えられた事の一つについて文献を調べてみると実に大きなボトルネックがあることが分かったのです
Output: | و قد كان "" Andrew "" يجري بحوثه حول الموضوع و من الأشياء التي قيلت له و التي تعلمها خلال مراجعاته الأدبية هو وجود عائق كبير. | 1 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
-0.22005757689476013,
0.2989102303981781,
0.37427595257759094,
-0.6644117832183838,
0.1435258984565735,
0.28304967284202576,
0.9680286645889282,
-0.21735158562660217,
0.36902451515197754,
0.27769583463668823,
-0.34809666872024536,
-0.9983630776405334,
-0.7287610769271851,
0.127781912684440... |
Teacher: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... | 它能改善界面的外观或噪音。 | 6 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.7144462466239929,
0.8022161722183228,
-0.21295809745788574,
-1.0343952178955078,
-0.2578350305557251,
-0.9131539463996887,
0.5867466926574707,
0.792478084564209,
-0.14956989884376526,
-0.29511478543281555,
0.08219929784536362,
0.6234806776046753,
-0.798803448677063,
-0.01858683861792087... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Let me give you an example: A man is spreading shreded cheese on a pizza.
The answer to this example can be: Un bărbat pune brânză mărunțită pe o pizza.
Here is why: In the given tr... | Există trei factori principali care conduc economia subterană în Statele Unite. | 8 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.772213339805603,
0.5911328792572021,
0.4778019189834595,
-0.45755133032798767,
-0.2617468237876892,
0.5064541101455688,
1.2114262580871582,
1.2320115566253662,
0.6864924430847168,
-0.10821773111820221,
-0.33247703313827515,
1.0587031841278076,
-0.6304274797439575,
-0.43333959579467773,
... |
Detailed Instructions: In this task, you need to count the number of nouns/verbs in the given sentence.
Problem:Sentence: 'A bird is sitting on a telephone wire'. Count the number of verbs in this sentence.
Solution: | 1 | 8 | NIv2 | task155_count_nouns_verbs | zs_opt | [
-0.6430392265319824,
1.0643510818481445,
-0.9581006765365601,
-1.0463745594024658,
-0.4082735776901245,
0.014704754576086998,
0.49410873651504517,
0.7143822312355042,
0.3246254026889801,
0.025535326451063156,
-0.4533783197402954,
-0.15265201032161713,
-0.8074471950531006,
-0.07869388163089... |
instruction:
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
question:
Japanese: 米ドルの価格は、世界の他の通貨に対して下落したが、金の価格は上昇した。
Thai: เจ้าหน้าที่ตำรวจกล่าวว่า อุบัติ... | Yes
| 9 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
-0.18415886163711548,
-0.7008254528045654,
-0.0662202537059784,
0.5168187618255615,
0.9614951610565186,
-0.7796390652656555,
0.28305041790008545,
0.7528520822525024,
-0.9275711178779602,
0.2700868546962738,
-0.5705680847167969,
0.2693914771080017,
-0.47276532649993896,
0.39761388301849365,... |
The task is to generate the correct answer for a given math problem.
Problem: a and b invests rs . 10000 each , a investing for 6 months and b investing for all the 12 months in the year . if the total profit at the end of the year is rs . 24000 , find their shares ?
8000
Problem: if the sides of a triangle are 26 cm... | 12 min
| 0 | NIv2 | task1726_mathqa_correct_answer_generation | fs_opt | [
0.46470510959625244,
0.3986036777496338,
-0.7536357641220093,
0.07938967645168304,
-0.5403168797492981,
0.16476480662822723,
-0.17749527096748352,
-0.3368361294269562,
0.3041866719722748,
-0.282037615776062,
-0.5704934597015381,
0.4789985120296478,
0.5606192350387573,
-0.975358247756958,
... |
TASK DEFINITION: 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 probab... | Als je naar een geest wilt kijken dan moet je naar de bioscoop gaan.
| 8 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.157149076461792,
0.20143672823905945,
0.10302580893039703,
-0.2633499801158905,
-0.1912839114665985,
0.1943790316581726,
0.28614315390586853,
0.3600558042526245,
0.6019010543823242,
-0.12232935428619385,
-0.3483363091945648,
0.14908185601234436,
-0.048301275819540024,
0.4298893809318542... |
Given the task definition, example input & output, solve the new input case.
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".
E... | No | 1 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.7665591239929199,
0.13774847984313965,
0.15940523147583008,
0.22800394892692566,
0.2350587546825409,
0.17526443302631378,
-0.015968499705195427,
-0.02493337169289589,
-0.3559948205947876,
-0.24946102499961853,
0.12741535902023315,
0.6303045749664307,
-0.17639458179473877,
0.376296222209... |
Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations an... | How many airlines operate out of each country in descending order? | 8 | NIv2 | task184_break_generate_question | zs_opt | [
0.7286375761032104,
0.13842518627643585,
-0.8552021980285645,
0.3404180705547333,
0.2092941850423813,
-0.19784484803676605,
1.073761224746704,
0.3630661368370056,
-0.6917392611503601,
0.7112970948219299,
-0.6582696437835693,
0.32239145040512085,
-0.14294466376304626,
0.13889554142951965,
... |
You will be given a definition of a task first, then some input 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 characters: 'A', 'B'.
(A) leaving my best frie... | A | 1 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.3015355169773102,
0.6117146015167236,
0.3794376254081726,
-0.3555469810962677,
-0.6977941393852234,
-0.36711543798446655,
0.04100361093878746,
0.6369422674179077,
0.3162305951118469,
0.47032907605171204,
0.11680218577384949,
-0.13093899190425873,
0.5729379653930664,
-0.5769451856613159,... |
Instructions: 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).
Input: Between 1998 and 1999, loyalists assaulted and shot 123 people, while republicans assaulte... | Entre 1998 y 1999 los leales asaltaron y dispararon a 123 personas, mientras que los republicanos asaltaron y dispararon a 93. Entre 1998 y 1999, los leales asaltaron y dispararon a 123 personas, mientras que los republicanos asaltaron y dispararon a 93 personas. | 3 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
-0.5580421686172485,
0.6919236183166504,
-0.2382844090461731,
-0.5139667391777039,
-0.5882892608642578,
-0.36050552129745483,
0.6157716512680054,
0.5011529326438904,
0.21375155448913574,
0.09298989176750183,
0.086819589138031,
0.10571402311325073,
-0.00954245962202549,
0.17653873562812805,... |
Given a sentence in English, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
Q: The Tweenies consist of Bella , Milo , Fizz , Jake , Doodles , Izzles , Max , Judy , and are sometimes joined by Max 's sister Polly .
A: Die Tweenies ... | Die Schule steht in Verbindung mit der Sekundärabteilung der autistischen Schule Ysgol Plas Brondyffryn, die 2003 errichtet wurde.
****
| 4 | NIv2 | task780_pawsx_english_german_translation | fs_opt | [
-0.738702654838562,
0.7390254735946655,
-0.0697694718837738,
-0.6020660400390625,
-0.018164847046136856,
0.2211034595966339,
0.6685323715209961,
0.0338745191693306,
-0.4483107030391693,
0.055360957980155945,
-0.12181302905082703,
0.39998331665992737,
-0.38608652353286743,
-0.28289183974266... |
instruction:
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
question:
Sentence1: 'a picture of some people out of snow', Sentence2: 'people approach and order at a red food truck'. Is the frequency of the word 'a' in two sentences equal?
answer:
Yes
ques... | No
| 9 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.599396824836731,
0.030939314514398575,
-0.4397731423377991,
-0.1825985312461853,
-0.07302246987819672,
-0.23866048455238342,
0.218741312623024,
0.8721923828125,
-0.008692980743944645,
-0.1002257838845253,
-0.5647962093353271,
-0.36913803219795227,
0.6950654983520508,
0.12914535403251648... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to u... | Tom bought four things near ice cream >Causes/Enables> One was mint | 8 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
0.4530916213989258,
0.737860918045044,
0.14768953621387482,
-0.2406967580318451,
0.023254262283444405,
-0.44540369510650635,
0.1310804933309555,
0.6872584819793701,
-0.6746119856834412,
0.051402878016233444,
-0.7283927202224731,
0.267131507396698,
-0.5259838104248047,
-0.4868164658546448,
... |
Instructions: In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Input: [-78, -40, 5, 70, -33, 89, 96, -31, 56, -49]
Output: | [38, 45, 65, 103, 122, 7, 127, 87, 105] | 3 | NIv2 | task125_conala_pair_differences | zs_opt | [
-0.6006348729133606,
-0.036224979907274246,
-0.6405074000358582,
-0.0879283994436264,
-0.3382635712623596,
0.17656990885734558,
0.9732832908630371,
0.5453963875770569,
0.48541179299354553,
-0.33871325850486755,
-0.21372774243354797,
-0.45511019229888916,
-0.08461303263902664,
0.11251993477... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so... | The girl had to prune more plants in the summer than the winter although they grew better in the _ . | 1 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.6252727508544922,
0.07775256037712097,
0.23814460635185242,
-0.03613733500242233,
0.8801755309104919,
-0.784673810005188,
0.8077875971794128,
1.2472448348999023,
-0.6230037212371826,
-0.3538641333580017,
-0.36958202719688416,
0.28231722116470337,
-0.1815999448299408,
-0.022733049467206,
... |
Q: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Sentence: 'a woma... | Yes | 7 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.3832419514656067,
0.43173009157180786,
-0.00039597577415406704,
-0.10946839302778244,
-0.24265056848526,
-0.584435224533081,
0.0685056746006012,
0.43990787863731384,
0.4654530882835388,
-0.7613060474395752,
-0.11221127212047577,
-0.6491168737411499,
0.010129908099770546,
0.0630163997411... |
You will be given a definition of a task first, then some input of the task.
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels afte... | happy | 1 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
-0.002775039756670594,
0.5715105533599854,
-0.268693745136261,
-0.08173633366823196,
-0.23145359754562378,
-0.5041361451148987,
1.4227205514907837,
0.8072486519813538,
0.02240069769322872,
-0.2095424085855484,
-0.16943864524364471,
-0.2231769859790802,
-0.3088412880897522,
0.20982992649078... |
Detailed Instructions: The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited... | Što mogu menadžeri napraviti -- prosvijetljeni menadžeri, nadam se -- što oni mogu napraviti da uredi budu bolja mjesta za ljude koji rade, tako da ne budu zadnja mjesta za rad, već prva? | 9 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.35811495780944824,
0.9457239508628845,
-0.2739577293395996,
0.1451016217470169,
0.23332098126411438,
-0.6901390552520752,
0.2115025818347931,
-0.04800298810005188,
0.3167376220226288,
-0.2848334312438965,
0.1499445140361786,
-0.020987587049603462,
-0.49785304069519043,
0.042435631155967... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Sentence 1: PersonX yelled at PersonY for getting sap stuck in their hair and _ ended up having to shave their head.
Sentence 2: PersonX consoled aPersonY for getting sap stuck in their hair and _ ended up having to have their head shaved. | 0 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.00920922216027975,
0.3369131088256836,
0.07330150157213211,
-0.1798664629459381,
0.40841400623321533,
-0.4562146067619324,
0.8585420846939087,
0.6451168060302734,
-0.275472491979599,
-0.3420102596282959,
-0.35621511936187744,
-0.10476702451705933,
-0.457750141620636,
-0.1783951222896576,... |
Given the task definition and input, reply with output. You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
System Reference: can i double check you want a hotel that ... | 0 | 5 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-1.1866881847381592,
1.2279109954833984,
-0.27954089641571045,
0.17386093735694885,
-0.22633624076843262,
-0.6387473344802856,
1.3099415302276611,
0.47614073753356934,
-0.2854350805282593,
-0.060037530958652496,
-0.664330780506134,
0.0037558216135948896,
-0.6287308931350708,
-0.44080564379... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Category: AT THE ZOO
Clue: Wow! It's a spiny-tailed iguana, one of these that holds the 21 mp... | a lizard | 0 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.8119891881942749,
0.48388177156448364,
-0.6067544221878052,
-0.11012038588523865,
-0.9892803430557251,
-0.16673508286476135,
-0.04350024089217186,
-0.05460474640130997,
-0.3344884216785431,
-0.37639370560646057,
-0.4829292893409729,
0.12279930710792542,
-1.281388521194458,
0.23555514216... |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
One example: A herd of sheep standing together grazing ... | English | 6 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | fs_opt | [
-0.35843318700790405,
0.4462307393550873,
0.4841052293777466,
-0.28441277146339417,
0.20307403802871704,
-0.8380224108695984,
-0.05759293586015701,
0.2578057050704956,
0.02463970147073269,
-0.5611949563026428,
-0.3527745306491852,
0.14341174066066742,
-0.5062690377235413,
-0.24645760655403... |
Detailed Instructions: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Problem:Article: imf managing director dominique strauss-kahn welcomed tuesday the `` bold steps '' taken by... | no | 8 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.537291407585144,
0.03236761316657066,
-0.24161143600940704,
0.21929951012134552,
-0.10321950912475586,
-0.4888215959072113,
1.006736159324646,
-0.2575763463973999,
-0.2064773142337799,
0.37600457668304443,
-0.2884494364261627,
0.24448716640472412,
-0.7862012982368469,
0.2450459301471710... |
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