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: A question is presented to you in this task, and your job is to write a potentially correct answer.
Problem:where is somalia located?
Solution: | Africa | 8 | NIv2 | task1412_web_questions_question_answering | zs_opt | [
0.6770427823066711,
0.7371031045913696,
-0.15423479676246643,
-0.9807075262069702,
-0.32848820090293884,
-0.3866843581199646,
-0.3371281027793884,
0.5049983859062195,
0.5613982081413269,
-0.0688311979174614,
0.1659216284751892,
0.1256137192249298,
-0.1780378520488739,
-0.38427114486694336,... |
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer ... | span | 9 | NIv2 | task027_drop_answer_type_generation | fs_opt | [
0.4612509310245514,
0.5755741596221924,
-0.23408189415931702,
-0.4287659823894501,
0.5441588759422302,
-0.6581864356994629,
0.5967086553573608,
0.5952855348587036,
0.0672619491815567,
0.0904373899102211,
-0.08521037548780441,
0.3248920440673828,
-0.7747699022293091,
0.05836769565939903,
... |
instruction:
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.
quest... | 1, 3, 12, 16
| 9 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.14827066659927368,
0.21620647609233856,
-0.2669724225997925,
-0.8305153250694275,
0.13899187743663788,
-0.3565070629119873,
0.9114483594894409,
0.7261331081390381,
-0.5173932909965515,
0.13351842761039734,
-0.6995935440063477,
-0.1253407597541809,
-0.16967858374118805,
0.047570168972015... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Ex Input:
E se vi state chiedendo quanti sono 16K, questo logo di eBay è 16K.
Ex Output:
Se vos preguntades canto son 16 kB, este logo de eBay é de 16 kB.
Ex Input:
Quando mi morde la seconda volta, scalcio.
Ex Output... | E con iso, deixádeme levarvos agora a dar unha primeira volta polos datos.
| 1 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-1.1551182270050049,
0.2368895560503006,
-0.5502457618713379,
-0.0671500563621521,
-0.43967336416244507,
-0.6777675151824951,
0.15857939422130585,
1.173805594444275,
-0.15203708410263062,
-0.2626773715019226,
0.4536280632019043,
0.926604151725769,
-0.24775049090385437,
0.08263564109802246,... |
Detailed Instructions: In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
See one example below:
Problem: Questions are gathered from anonymized, aggregated queri... | How was the training data translated? | 4 | NIv2 | task461_qasper_question_generation | fs_opt | [
-0.2846788167953491,
-0.679934024810791,
0.10140497237443924,
0.6206688284873962,
0.15919266641139984,
-0.5392716526985168,
0.7362133860588074,
0.8720587491989136,
-0.09784890711307526,
0.25801485776901245,
-0.5616931915283203,
0.1327875554561615,
-0.7014209032058716,
0.3897852301597595,
... |
Definition: In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Input: & as much as I hate for a dude to cheat, women forego pleasing their man, they get lazy & men get lazy & then it's just... | Not happy | 2 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-1.516517162322998,
0.31211674213409424,
0.1983151137828827,
-0.34985554218292236,
0.48371782898902893,
-0.4574928879737854,
0.18336455523967743,
0.3625088334083557,
0.6876230239868164,
0.20594698190689087,
-0.922467827796936,
-0.012000393122434616,
-0.5741490125656128,
-0.5169737339019775... |
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 एक विमान छोड़ने के लिए साइकिल का उपयोग कर सकते हैं. | 4 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.9876513481140137,
0.8650766015052795,
0.08732898533344269,
-0.41439318656921387,
-0.20098906755447388,
-1.2421213388442993,
0.6715877056121826,
0.9126746654510498,
-0.5549461841583252,
-0.38379475474357605,
-0.895384669303894,
0.08596277236938477,
-0.31200873851776123,
0.352112472057342... |
Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur before t2, t1... | False | 4 | NIv2 | task1507_boolean_temporal_reasoning | zs_opt | [
-0.049245983362197876,
-0.12958616018295288,
-0.8482098579406738,
0.5193452835083008,
-0.26949355006217957,
-0.5916773080825806,
-0.16785699129104614,
0.7035456299781799,
-0.5220527648925781,
-0.08348396420478821,
-0.42225807905197144,
-0.039264313876628876,
0.01566053181886673,
-0.3597369... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential... | NNP
| 0 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
0.5200791954994202,
0.36116328835487366,
-0.5263324975967407,
0.018006544560194016,
0.23264771699905396,
-0.8616125583648682,
0.8971220254898071,
0.5118732452392578,
-0.8141602873802185,
-0.11294980347156525,
-0.5458632707595825,
0.5259624123573303,
-0.1333761066198349,
0.3638978898525238,... |
Q: Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Except Kinemaster you can say movavi ... | Hope Speech | 7 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.901273250579834,
-0.18824781477451324,
0.6052836775779724,
0.5818330645561218,
-0.04952406883239746,
-0.590757429599762,
-0.5593183040618896,
1.2145835161209106,
-0.7553625106811523,
0.48927581310272217,
0.2922986149787903,
-0.11047521233558655,
-0.007776603568345308,
-0.584367752075195... |
Detailed Instructions: Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the q... | group of atoms. | 8 | NIv2 | task041_qasc_answer_generation | zs_opt | [
0.8169499635696411,
0.9975124001502991,
-0.16448946297168732,
-0.00900912843644619,
-0.2827560305595398,
-1.7171039581298828,
0.7436639070510864,
0.31256410479545593,
0.7561720609664917,
-0.0849190205335617,
-1.395961046218872,
1.15802001953125,
-1.0103580951690674,
-0.1245526373386383,
... |
In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
One example is bel... | _-Chisholm was only doing his job and was shaken by the incident, Heywood said. | 9 | NIv2 | task301_record_question_generation | fs_opt | [
-0.13512596487998962,
0.3596765100955963,
-0.2618882954120636,
0.07305046916007996,
0.26913073658943176,
0.2700505554676056,
0.23402923345565796,
1.088348150253296,
-0.4130745530128479,
0.5793341398239136,
0.033663779497146606,
0.5903197526931763,
-1.0844777822494507,
0.4142696261405945,
... |
Given the task definition and input, reply with output. 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".
Review: Th... | no | 5 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.4732348918914795,
-0.0009536913130432367,
0.02049119770526886,
-0.22749850153923035,
0.1951795220375061,
-1.1935675144195557,
0.44872015714645386,
0.7146717309951782,
-0.7378280162811279,
0.1305343210697174,
-0.38293957710266113,
-0.212808758020401,
-0.35784661769866943,
-0.024439690634... |
In this task, you are given two sentences in the English language (Sentence 1 and Sentence 2). Your task is to identify the connecting word between the two sentences.
Input: Consider Input: Sentence 1:After being fired by the Chicago Bears after the Bears poor 2009 season , Turner was hired as offensive coordinator by... | Output: additionally
| 2 | NIv2 | task563_discofuse_answer_generation | fs_opt | [
-0.19623473286628723,
0.35220858454704285,
-0.5354692935943604,
0.3042217493057251,
0.34695711731910706,
-0.18315929174423218,
-0.5067371129989624,
0.13981026411056519,
-0.21981267631053925,
-0.0618499256670475,
-0.25812792778015137,
-0.6476718187332153,
-0.8624320030212402,
-0.22088447213... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Eu construín un reactor de fusión cando tiña 14 anos.
A: | それは14歳のときに核融合炉を自分で作ったからです | 7 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.051985614001750946,
1.1125881671905518,
-0.05955566465854645,
-0.5297963619232178,
-0.4938874840736389,
-0.7591389417648315,
0.16375163197517395,
0.8499829769134521,
-0.016889743506908417,
-0.3150328993797302,
-0.06806124001741409,
-0.1452135443687439,
-0.669913649559021,
0.165143460035... |
TASK DEFINITION: Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in t... | They have varied in whether they have held positions on the board of directors.
| 8 | NIv2 | task054_multirc_write_correct_answer | fs_opt | [
0.6475541591644287,
0.571151852607727,
-0.4571295380592346,
-0.46193400025367737,
0.7348002195358276,
-0.017773985862731934,
0.5945285558700562,
1.1023141145706177,
-0.09115037322044373,
0.15006548166275024,
-0.0021312288008630276,
0.7499340772628784,
-0.5290963649749756,
0.103529229760169... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Q: כמו שמעצבים, חוקרים ומדענים מנסים למפות מערכות מורכבות שונות, בכמה מובנים הם משפיעים על תחום האמנות המסורתי, כמו ציור ופיסול, ומשפיעים על סוגים רבים של אמנויות.
A: فالمصممون و الباحثون والعلماء يحاولون تعيين مجموعة متنوعة... | ولكن فيما مضى, اكتشفت انني اذا غطيت عيني اليسرى, بدلا من ذلك, احصل على هذا
****
| 4 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.4609062373638153,
0.1641676276922226,
0.15624397993087769,
-0.5538817644119263,
-0.07652473449707031,
-0.20249567925930023,
0.5041596293449402,
0.29906409978866577,
0.508423924446106,
-0.40273940563201904,
-0.5228431224822998,
0.35555300116539,
-0.7028118371963501,
-0.04247836023569107,... |
Part 1. Definition
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 provide... | strengthener | 7 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
0.3203108310699463,
-0.023329470306634903,
-0.5405287742614746,
-0.3955424427986145,
-0.017860207706689835,
-0.7106609344482422,
0.8361048698425293,
1.450890302658081,
0.5875009298324585,
-0.2911547124385834,
-1.0890401601791382,
0.029564430937170982,
-0.8190573453903198,
0.000953109236434... |
Detailed Instructions: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Problem:Lakisha told us all about the recent depressing events.
Solution: | female | 8 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.3781006932258606,
0.36251550912857056,
-0.5413609743118286,
-1.263551950454712,
-0.7091811895370483,
-0.5247178673744202,
0.8147709369659424,
0.06955744326114655,
0.6145569086074829,
0.20506426692008972,
-1.2879993915557861,
0.08395205438137054,
-0.44674617052078247,
0.6160563230514526,... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Looking forward to a FREE IRAN. There are so many beautiful women there.
positive
happpy momma's day (: doing work & waiting for momma to come back fro... | negative
| 0 | NIv2 | task195_sentiment140_classification | fs_opt | [
-0.9263283610343933,
0.49380356073379517,
0.5072404742240906,
0.4973059296607971,
0.006252437364310026,
-0.23655688762664795,
0.05487433820962906,
0.9246796369552612,
0.47867289185523987,
0.9762434959411621,
-1.005728006362915,
-0.23443105816841125,
-0.14216046035289764,
-0.671126425266265... |
Detailed Instructions: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Q: तुम मुझे उल्लू बना रहे हो?
A: | You're shitting me? | 9 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
-0.5743091106414795,
1.0585920810699463,
0.006678151898086071,
0.2497541308403015,
-0.1700182557106018,
-1.312753438949585,
0.08252716809511185,
0.09712810814380646,
-0.43669116497039795,
-0.20388633012771606,
0.09188158065080643,
0.0461367703974247,
-0.5592108368873596,
0.4878111779689789... |
Instructions: In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Input: Text: like many of us, i was home for this holiday season. the night after thanksgiv... | used my phone to wirelessly play party music over whole-house sound system. went up stairs to fap and played porn for whole party to hear. tried to cover it up by playing random other sounds and masquerading as a "pandora technician" apologizing for the "glitch." | 3 | NIv2 | task511_reddit_tifu_long_text_summarization | zs_opt | [
0.08426264673471451,
0.2987741231918335,
-0.9695781469345093,
-0.15114471316337585,
0.013950332999229431,
-0.1200808733701706,
0.7547403573989868,
0.9163306951522827,
-0.2125658541917801,
-0.03791769593954086,
0.2203453779220581,
0.11624712496995926,
-0.6473502516746521,
-0.571975708007812... |
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 question. Your task is to generate an answer that is relevant to the question.
Are you willing to do shopping with me?
Solution: I only like to shop during festivals
Wh... | I always have a Saturday to-do list. | 0 | NIv2 | task565_circa_answer_generation | fs_opt | [
-0.23670922219753265,
0.3091929852962494,
-0.08452174067497253,
0.2756655812263489,
-0.07291926443576813,
-0.3235851526260376,
0.5606063604354858,
0.24586495757102966,
0.2548779845237732,
0.1102287545800209,
-0.48561859130859375,
-0.1035870611667633,
-0.30894556641578674,
0.398322463035583... |
In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Post: Girls are not human beings, they're ob... | Generic | 0 | NIv2 | task337_hateeval_classification_individual_en | zs_opt | [
-1.065091848373413,
0.1083398163318634,
0.6433624029159546,
-0.5432862639427185,
-0.01039945613592863,
-1.04350745677948,
0.7267230749130249,
0.3959890604019165,
-0.02180558443069458,
0.33747392892837524,
-0.38574790954589844,
0.12660789489746094,
-0.036847859621047974,
-0.5803532004356384... |
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Example Input: How do confident people act socially in their mid 20's compared to their mid 30's?
Example Output: Would you start a PhD in your mid 30's?
Exa... | How can one get an interview with one of the big four consulting firms?
| 3 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-0.751440167427063,
1.0518443584442139,
-0.13454028964042664,
-0.60577392578125,
-0.3917202949523926,
-0.16064050793647766,
0.9833686351776123,
0.4142381250858307,
0.5812604427337646,
-0.03545574098825455,
-0.534608006477356,
0.5065637826919556,
-1.081275224685669,
-0.06585198640823364,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in English. Your job is to translate the English sentence into Persian.
In the southwestern part of Nigeria, the plant is known as Gbe'borun.
Solution: در جنوب غرب نیجریه ، ... | خداوند منتظر اوست ، و اجازه دهید که او به "" نزد خدا برود "" — "" برو "". خداوند منتظر اوست ، و اجازه دهید که او به "" نزد خدا برود "" — "" برو "". خداوند منتظر اوست ، و اجازه دهید که او به "" نزد خدا برود "" — "" برو "". | 0 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.38251015543937683,
0.4850703775882721,
0.37834587693214417,
-0.08103236556053162,
-0.2182515263557434,
-0.7932054996490479,
0.9892866015434265,
0.7124175429344177,
-0.24671711027622223,
0.07545758783817291,
-1.2576111555099487,
0.2954387068748474,
-1.2726843357086182,
0.5999441146850586... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Example: Tracy slept awkwardly on their new bed and was having some pain, so Tracy cracked her ... | What will happen to Alex? | 1 | NIv2 | task596_mocha_question_generation | fs_opt | [
-0.18751341104507446,
0.9264140129089355,
-0.11459586024284363,
0.4968854784965515,
0.1950094848871231,
0.3603619337081909,
0.5661274790763855,
0.4470844864845276,
0.38222062587738037,
0.530034601688385,
-0.35958564281463623,
-0.3423177897930145,
-0.3253346383571625,
-0.14478737115859985,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
في منتصف تحضيري للدكتوراة ، كنت عالقاً بلا أمل. | 博士課程の途中で私は行き詰まりどうしようもなくなりました | 0 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.5993692278862,
0.09859982132911682,
0.12354614585638046,
-0.8092876672744751,
-0.6618587374687195,
1.2505698204040527,
0.7122005224227905,
0.7231560945510864,
0.07159270346164703,
-0.8311086893081665,
-0.21887196600437164,
-0.5022569894790649,
-0.20227152109146118,
0.6451176404953003,
... |
You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: ਇਸ ਭਾਗ ਵਿੱਚ <MASK> ਲੇਖਕਾਂ, ਜੋ 'ਦੂਜੀ ਸਲਤਨਤ' ਦੇ ਸਨ, ਵਿੱਚੋਂ ਕਈਆਂ ਨੇ ਕਲਾ ਕਲਾ ਲਈ ਦਾ ਸਿਧਾਂਤ ਤਿਆਗ ਦਿੱਤਾ। ਉਦਾਹ... | ਰੂਸ
| 0 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
-0.7702793478965759,
0.5961955785751343,
0.135819673538208,
0.05613940209150314,
-0.012301608920097351,
-0.04974018782377243,
0.4105953872203827,
0.3761534094810486,
0.0830456092953682,
-0.06427402794361115,
-0.5633218288421631,
0.16920417547225952,
-0.4453817307949066,
-0.366497665643692,... |
Given the task definition, example input & output, solve the new input case.
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast'... | music | 1 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.23587119579315186,
0.09738782048225403,
-0.19161973893642426,
-0.13162246346473694,
0.7392129898071289,
0.30764099955558777,
0.682948887348175,
0.5927486419677734,
-0.31685054302215576,
0.2361719161272049,
-0.13849729299545288,
0.02365603670477867,
-0.34518158435821533,
-0.20838373899459... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number ... | 6180753380 | 0 | NIv2 | task1443_string_to_number | fs_opt | [
-0.45032840967178345,
1.0157146453857422,
-0.36129796504974365,
-0.8843803405761719,
-0.3124103546142578,
0.04427466168999672,
0.965666651725769,
0.0071296608075499535,
0.005548571236431599,
-0.3800206184387207,
-0.5168620347976685,
-0.22053766250610352,
-0.9314265251159668,
0.067703589797... |
Teacher: Two analogies that signify affordances are given in the form "A : B. C : ?". Affordance is the possibility of an action being done on an object, for example book is an affordance of writing. The phrase "A : B" implies that B is an affordance of A. Your task is to replace the question mark (?) with the appropri... | tree | 2 | NIv2 | task1153_bard_analogical_reasoning_affordance | fs_opt | [
-0.08711223304271698,
0.9527583122253418,
-0.3398114740848541,
-0.012361250817775726,
0.024943668395280838,
-0.15652918815612793,
1.1561226844787598,
0.6710658073425293,
0.3292592763900757,
-0.44989967346191406,
-0.12124022096395493,
0.7003045082092285,
-0.22717802226543427,
0.087698362767... |
In this task, you are given one French sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into English.
La plupart des cas présentent une rectite sévère consécutive à des rapports ana... | Vector-borne diseases are transmitted by arthropods such as ticks (e.g. tick-borne encephalitis (TBE), Lyme disease), mosquitoes (e.g. Chikungunya fever, Dengue fever), or sandflies (e.g. visceral leishmaniasis).
| 0 | NIv2 | task1397_europa_ecdc_tm_fr_en_translation | fs_opt | [
-0.44946253299713135,
0.46451738476753235,
-0.16114261746406555,
-0.13230130076408386,
-0.32118362188339233,
-0.20368686318397522,
0.015406139194965363,
0.3774513900279999,
0.2827722728252411,
0.48746737837791443,
-0.48571228981018066,
0.3649866580963135,
-0.0756828784942627,
0.40228208899... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Example: وأعتقد أنه في القريب سوف ترى المرضى يعالجون بواسطة خلاياهم الجذعية المستخرجة من الدهون أو المستخرجة من الحيوانات
Output: Penso che abbastan... | È uno spazio dove finalmente ci si può arrendere e non prendersi la responsabilità di nulla? | 1 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.5188494920730591,
0.457030713558197,
-0.3532799482345581,
-0.5805658102035522,
-0.6325241327285767,
-0.16081546247005463,
0.4684075117111206,
0.7776471376419067,
0.5023743510246277,
-0.47761067748069763,
-0.5301418900489807,
0.5188804268836975,
-0.30906856060028076,
0.5762179493904114,
... |
Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
di preparare i nostri figli per esso.
A: | que estamos educándoos para iso. Así que o impredecíbel, penso, | 7 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.23439602553844452,
1.5759316682815552,
-0.15391486883163452,
-0.3676922619342804,
-0.37998563051223755,
-0.6042309999465942,
0.41024017333984375,
0.8679581880569458,
-0.09958358854055405,
0.13421973586082458,
0.3224339783191681,
0.7190855145454407,
-0.7812769412994385,
0.276202976703643... |
This task is about translating a given Spanish language sentence to English.
Example Input: De un tal Sr. Ding.
Example Output: - A certain Mr Ding.
Example Input: El filtro de Kalman coge observaciones como éstas y estima futuras ubicaciones y las velocidades a partir de datos de este tipo.
Example Output: The commo... | Oh, oh, our home is the sky now
| 3 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.9023412466049194,
0.4106001853942871,
0.06740357726812363,
-0.48951342701911926,
0.05792003870010376,
-0.9386838674545288,
0.8027646541595459,
0.5042533874511719,
0.11632382869720459,
0.017348237335681915,
-0.38751477003097534,
0.4925006628036499,
-0.4533146619796753,
0.4300534427165985... |
In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
One example: Context: Joanne McLeod is a Canadian figure skating coach. She is the skating directo... | maria von trapp | 6 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.47217875719070435,
0.7461426258087158,
-0.7204368114471436,
-0.3009662330150604,
0.348364919424057,
0.37402471899986267,
0.5426146984100342,
0.7293621897697449,
-0.4645712375640869,
0.08720731735229492,
-0.12564809620380402,
0.5925216674804688,
-0.6911282539367676,
0.5555812120437622,
... |
Detailed Instructions: You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating ... | What city is Emii from? | 4 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | fs_opt | [
0.7903720736503601,
0.15586146712303162,
-0.45831379294395447,
0.03467285633087158,
0.06577089428901672,
-0.09096326678991318,
0.42483285069465637,
0.7068480849266052,
-0.015010707080364227,
0.20844769477844238,
0.3058062493801117,
0.6507469415664673,
-1.1821612119674683,
0.405534088611602... |
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
Q: - ചലിക്കുന്ന ഡീസല് യന്ത്രങ്ങളെ 10,000 കുതിരശക്തിയുള്ള ഇലക്ട്രിക്കല് എഞ്ചിനുകളാക്കി മാറ്റുകയെന്ന നാഴികല്ലും അടുത്തിടെ ഇന്ത്യ കൈവരിച്ചു.
A: | हाल में डीजल लोकोमोटिव को 10 हजार अश्वशक्ति इलेक्ट्रिक ईंजन में बदलने का ऐतिहासिक कीर्तिमान कायम किया गया है। | 4 | NIv2 | task1018_pib_translation_malayalam_hindi | zs_opt | [
-0.9843835234642029,
0.6287548542022705,
-0.12880966067314148,
-0.22441090643405914,
-1.281080961227417,
-0.06785210967063904,
0.6130982637405396,
0.4537999629974365,
0.13996782898902893,
0.0899026021361351,
0.12986791133880615,
0.26461371779441833,
-0.2963005304336548,
0.1348436325788498,... |
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: ការសិក្សាប្រាំមួយខែបានរកឃើញថាអូស្រ្តាលីមានអ៊ុយរ៉ាញ៉ូមច្រើនជាងការគិតពីមុន។
A: この六ヶ月間の研究はオーストラリアがそれまで考えられていたよりも多くのウランを持つと発見した。
****
Q: ការ... | 2005年にテキサス州の労働省は、「最低賃金違反が見つかった」と結論を述べた。
****
| 4 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
0.4582611620426178,
0.11408761143684387,
-0.6783185005187988,
-0.5401437878608704,
-0.31890586018562317,
-0.9046978950500488,
0.355960488319397,
0.38528573513031006,
-0.38598790764808655,
0.07988694310188293,
-0.5540406107902527,
-0.02268948219716549,
-0.8739502429962158,
0.420241177082061... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as... | 3 | 1 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.10858476907014847,
0.46797800064086914,
-0.5499448776245117,
0.07025253772735596,
0.6509261727333069,
0.004073119722306728,
0.7410352230072021,
1.3910119533538818,
0.06640814989805222,
0.26318466663360596,
0.17318236827850342,
0.20942002534866333,
-0.30406492948532104,
0.0574953146278858... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Que é creatividade? | O que é criatividade? | 0 | NIv2 | task1246_ted_translation_gl_pt | zs_opt | [
-0.41552066802978516,
0.9275451898574829,
0.7095586061477661,
-0.5952048897743225,
-0.19090622663497925,
-0.5079718232154846,
-1.0788441896438599,
0.5626968145370483,
0.18254469335079193,
-0.7567513585090637,
-0.5073124766349792,
0.25908827781677246,
-0.7263392806053162,
0.1722365617752075... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
والنساء كانوا يستطيعون الذهاب وتمريرها على الجهاز للحصول على تسع مشتروات غذائية.
E le donne possono andare lì e strisciare la carta e portare via nove prodotti alimentari.
حاولنا ، بقطعة صغيرة جدا من جبن ليمبورجر ، و التى ر... | Abbiamo una strada viva 24 ore al giorno, in modo che ci sia sempre un posto dove andare.
| 0 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.25099921226501465,
-0.11797700822353363,
-0.026650242507457733,
-0.24869199097156525,
-0.46557101607322693,
-0.21012413501739502,
0.863556981086731,
0.21642065048217773,
-0.2933780550956726,
-0.03643733635544777,
-1.0149381160736084,
0.690161943435669,
-0.5995540618896484,
0.27602481842... |
Teacher: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subje... | A group of people are ordering food at a restaurant. | 2 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | fs_opt | [
-0.07334183901548386,
0.30820906162261963,
0.48147058486938477,
-0.5461841821670532,
0.6448976397514343,
-0.8699737787246704,
-0.47194063663482666,
0.6560944318771362,
0.061624012887477875,
-0.10685041546821594,
-0.39465615153312683,
-0.2894185185432434,
-0.7761267423629761,
-0.64610558748... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a new line.
E... | Who plays lilly on the young and the restless in 1996?
Vanessa Carson | 3 | NIv2 | task671_ambigqa_text_generation | fs_opt | [
-0.6824009418487549,
0.6054086089134216,
-0.2571905851364136,
-1.1360969543457031,
-0.3453778028488159,
-0.31955015659332275,
0.8276359438896179,
0.4638633728027344,
-0.03418722376227379,
-0.47418761253356934,
0.048190828412771225,
0.6379944086074829,
-0.6992174386978149,
0.111987434327602... |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Let me give you an example: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Answer: Find somewhere to go
The... | What does Casey need to do before this? | 8 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
0.24863828718662262,
0.9536241888999939,
0.10227906703948975,
0.13668319582939148,
0.26557445526123047,
-0.8635758757591248,
0.2888803482055664,
0.29945600032806396,
0.30111265182495117,
0.12818443775177002,
-0.29847657680511475,
0.22384929656982422,
-0.7030825614929199,
-0.340642988681793... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse ... | THE grass was green | 9 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
0.08029473572969437,
0.5224020481109619,
0.5063790082931519,
-0.18066999316215515,
0.33640527725219727,
-0.8751049041748047,
-0.3121357560157776,
0.9559106826782227,
0.1548762023448944,
-0.39177441596984863,
-1.135797142982483,
-0.4630260467529297,
-0.9982447028160095,
-0.6826779842376709,... |
Part 1. Definition
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Part 2. Example
what is the first event mentioned?, Context: The Russian Revolution is the series of revolutions in Russia in 1917, which destroyed the Tsarist autocracy and led t... | radio | 7 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.919755220413208,
0.17616623640060425,
-0.33691805601119995,
-0.03097381256520748,
-0.06255657970905304,
0.5698907375335693,
0.7642485499382019,
1.6453566551208496,
0.19137030839920044,
0.04330524802207947,
-0.436213880777359,
-0.3201926648616791,
-0.5025612115859985,
-0.1949509084224701,... |
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 with "agai... | none | 9 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
-0.7540287971496582,
0.30050578713417053,
-0.5359460115432739,
-0.1021723598241806,
-0.44033879041671753,
-1.3913941383361816,
0.08463280647993088,
1.11728036403656,
-0.3776405155658722,
-0.08814480155706406,
-0.35920241475105286,
0.2399027943611145,
-0.9152415990829468,
0.3700075447559356... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
إن هذا مروع.
| Isto é horrível. | 5 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
-0.3191717267036438,
1.0240936279296875,
0.5116880536079407,
-0.6345883011817932,
-0.5357038974761963,
0.1545681655406952,
0.18943490087985992,
0.5915036797523499,
0.611595869064331,
0.016344087198376656,
-0.7778153419494629,
0.003030883613973856,
-0.36008191108703613,
0.23079293966293335,... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
[Q]: Diet Coke walks up to the front — pick it, put it in the tote, away it goes. "" Wow, what if the products could walk and talk on their own?
[A]: するとダイエットコークが前に歩いてきて掴んでケースに入れて終わりおぉもし商品が自分で歩いて話せたら ？
[Q]: The tools fo... | 電極は今オフで震えが見られます
| 5 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.17476613819599152,
-0.11098308861255646,
-0.13992497324943542,
-0.21240369975566864,
-0.07787731289863586,
-0.5195558071136475,
-0.01359819620847702,
0.5488108396530151,
0.20863565802574158,
-0.3439375162124634,
0.20608389377593994,
0.19267678260803223,
-0.3592934012413025,
0.16807702183... |
Instructions: In this task, you are given a text of the article. Your task is to generate a headline (title) for this article.
Input: ministers from the european union and its mediterranean neighbors gathered here under heavy security on monday for an unprecedented conference on economic and political cooperation .
Out... | european mediterranean ministers gather for landmark conference by julie bradford | 3 | NIv2 | task288_gigaword_summarization | zs_opt | [
0.05282474309206009,
0.7574549913406372,
-0.7080237865447998,
0.008168826811015606,
-0.7727991342544556,
0.28627848625183105,
0.09797097742557526,
0.059555426239967346,
-0.08402304351329803,
-0.023770414292812347,
-0.2771714925765991,
0.5733219385147095,
-0.1108178198337555,
0.134286284446... |
Given the task definition and input, reply with output. Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individua... | I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_LOOK | 5 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.2873687148094177,
0.7202664613723755,
-0.2156425267457962,
0.4188214838504791,
0.021994786337018013,
-0.039332181215286255,
-0.37140804529190063,
0.5459387898445129,
-0.36541205644607544,
-0.10671907663345337,
-0.8350562453269958,
-0.5231581926345825,
-0.3566948175430298,
-0.309114098548... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
இந்த ஒப்பந்தம் 2019, ஜனவரி மாதத்த... | ইউরিয়ার অপব্যবহার রুখতে ১০০ শতাংশ হারে ইউরিয়ার ওপর নিমের প্রলেপ দেওয়া হচ্ছে। | 0 | NIv2 | task982_pib_translation_tamil_bengali | fs_opt | [
-0.2341863214969635,
1.0339854955673218,
-0.26479995250701904,
-0.25797855854034424,
-0.061720967292785645,
-0.36205291748046875,
0.47870808839797974,
-0.1952238231897354,
0.03643989562988281,
0.15671728551387787,
0.20273452997207642,
0.5584348440170288,
-0.4975123703479767,
0.620412468910... |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
The talks aimed at saving the four-year-old Cease Fire Agreement (CFA), signed on 22 February 2002, are to be held in Geneva on 22-23 February. The d... | Talks on CFA anniversary | 0 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
0.2303370088338852,
0.8905285596847534,
-0.6446216106414795,
0.35040807723999023,
-0.00924005825072527,
-0.8245387077331543,
0.22836697101593018,
0.31614166498184204,
-0.26321229338645935,
0.4194299578666687,
0.19210600852966309,
0.989924430847168,
-1.2485413551330566,
0.253145694732666,
... |
Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Example input: able
Example output: unable
Example explanation: The output is correct as able and unable are opposities of each other in meaning.
Q: heteroecious
A: | autoecious | 3 | NIv2 | task1508_wordnet_antonyms | fs_opt | [
0.5315255522727966,
2.104832410812378,
1.135878562927246,
-0.33467480540275574,
-0.2079823613166809,
-1.4522608518600464,
-0.20644626021385193,
0.23453345894813538,
0.30039501190185547,
-0.625829815864563,
-1.2041653394699097,
-0.10460186749696732,
-0.7736330032348633,
-0.14442379772663116... |
Given the task definition and input, reply with output. In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy... | Sentence 1: Amy used her laptop to connect to the Internet instead of her phone, because the _ was so much faster.
Answer1: laptop.
Sentence 2: Amy used her laptop to connect to the Internet instead of her phone, because the _ was so much slower.
Answer2: phone. | 5 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.3703468143939972,
0.3607819080352783,
0.1026560366153717,
-0.08522900193929672,
0.7786346673965454,
-0.6395770311355591,
0.43012046813964844,
1.1266123056411743,
-0.6247854232788086,
-0.2729414105415344,
-0.6324727535247803,
0.04371294751763344,
-0.4907471835613251,
-0.15394337475299835,... |
A text is given in Tamil. Translate it from the Tamil language to the Malayalam language. The translation must not omit or add information to the original sentence.
[EX Q]: நடுவர் மன்றம் மூலம் தீர்வு காணப்படுவதால், ஒடிசா மற்றும் சத்திஸ்கர் மாநிலங்களுக்கு இடையில் நீண்டகாலமாக தீர்க்கப்படாமல் உள்ள மகாநதி ஆற்று நீர் பிரச்... | ഐയില് കൂടുതല് വളര്ച്ചയുണ്ടായത് കഴിഞ്ഞ മൂന്നുവര്ഷം കൊണ്ടാണ്.
| 6 | NIv2 | task1000_pib_translation_tamil_malayalam | fs_opt | [
0.21620771288871765,
0.4011809527873993,
-0.4863644242286682,
-0.383383572101593,
0.202854722738266,
-0.8177141547203064,
0.18216276168823242,
-0.07656554877758026,
0.04692783206701279,
-0.038881219923496246,
-0.05473659187555313,
0.08518840372562408,
-0.3701099753379822,
0.213697731494903... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Ma... | Y, r, E, E, e, Z, a, r, g, j, X, 893, 4435, 3019, 2783, 6083, 9569, 2367, 7779, 6443, 9263, 4437, 5169, 1249, 7503, 6511, 7483, 6813, 7409, 8219, 7211, 7609, 385 | 1 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.009507261216640472,
0.16628716886043549,
-0.13651883602142334,
-0.04312632232904434,
0.2556149959564209,
-0.4792170524597168,
0.2937849760055542,
0.4140237867832184,
-0.6582657098770142,
0.46303117275238037,
-0.8075073957443237,
0.17312857508659363,
-0.20976382493972778,
-0.231119841337... |
Teacher:Given an abstract, indicate which of the provided candidate titles (Option1 and Option2) best describes it (respond with the text of the title, not option1/2).
Teacher: Now, understand the problem? Solve this instance: Abstract: A previously healthy 3-year-old boy was referred because of persistent fever and an... | Acute suppurative thyroiditis in a 3-year-old boy. | 6 | NIv2 | task624_ohsumed_question_answering | zs_opt | [
-0.6209795475006104,
0.11535276472568512,
-0.2037101835012436,
0.10667920112609863,
0.24365447461605072,
-0.4539200961589813,
0.021051280200481415,
0.7372192740440369,
0.28112566471099854,
0.6563029885292053,
0.29560887813568115,
0.5633096694946289,
-0.5582267045974731,
-0.1607880294322967... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "... | True | 0 | NIv2 | task396_persianqa_classification | fs_opt | [
1.1573588848114014,
0.083076611161232,
-0.3726920485496521,
0.3534207344055176,
0.22012075781822205,
-0.4311448931694031,
0.6740823984146118,
1.1577972173690796,
-0.17560657858848572,
0.2385707050561905,
-0.5347086787223816,
-0.1419340968132019,
-0.33268141746520996,
0.7705249786376953,
... |
Detailed Instructions: In this task, you have given an input which is agent's reply, based on that you have to identify what will be users' command for that reply. The user generally asks a question related to event scheduling or information of the scheduled events. Agent reply based on the available information or do ... | who organized the meeting next week? | 4 | NIv2 | task1600_smcalflow_sentence_generation | fs_opt | [
0.3183877766132355,
-0.6548933982849121,
-0.28481996059417725,
-0.5266591310501099,
0.055867999792099,
-1.0978944301605225,
0.7911310791969299,
-0.6325230598449707,
0.33421003818511963,
0.19239762425422668,
-0.0039005763828754425,
-0.22090822458267212,
-0.8349624276161194,
0.80461454391479... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
Q: And if I had to pick a group that I think is our Invisible College, is our generation's collection of people trying to take these tools and to press it into service, not for more arguments, but for better arguments, I'd p... | I gdybym miał wybrać kto jest naszym Invisible College, to są to ludzie próbujący wykorzystać te narzędzia do lepszych dyskusji. Programiści zajmujący się open source. | 4 | NIv2 | task1092_ted_translation_en_pl | zs_opt | [
-1.249338150024414,
0.7275537252426147,
-0.3939308524131775,
-0.32027769088745117,
-0.23956891894340515,
-1.5444753170013428,
0.44972339272499084,
-0.45132413506507874,
0.4366348385810852,
0.819197416305542,
0.5296781659126282,
0.10640989243984222,
0.1110876053571701,
-0.47401392459869385,... |
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.
Let me give you an example: Context: Tracy didn't go home that evening... | Yes | 8 | NIv2 | task579_socialiqa_classification | fs_opt | [
0.16756798326969147,
0.270742267370224,
0.33580198884010315,
0.5962901711463928,
-0.05788262188434601,
-0.4480346441268921,
-0.06706136465072632,
1.0511841773986816,
-0.19175192713737488,
0.2392907440662384,
-0.2798119783401489,
0.389046311378479,
-0.1964060217142105,
-0.35372892022132874,... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
הקישו פעמיים על המילה. הביטו ב-200. אני לוחץ לחיצה כפולה.
| روى كلمه دو بار كليك كنيد. ٢٠٠ را نگاه كنيد. ميخواهم دو بار كليك كنم. | 5 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.6916749477386475,
0.8433372974395752,
0.3291980028152466,
0.060254715383052826,
-0.37772318720817566,
0.26255980134010315,
0.8667190074920654,
0.26875409483909607,
0.659506618976593,
0.166731059551239,
-1.0018744468688965,
0.7445956468582153,
-0.6170166730880737,
0.3203500807285309,
0... |
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few ... | Yes , almost always .
| 0 | NIv2 | task024_cosmosqa_answer_generation | fs_opt | [
0.13294294476509094,
0.4064769148826599,
0.03683307021856308,
0.47860535979270935,
-0.19723014533519745,
-0.6611384153366089,
1.0104084014892578,
0.7128583192825317,
-0.35763680934906006,
0.07272051274776459,
-0.2290664166212082,
-0.15124452114105225,
-1.1353483200073242,
-0.01310054399073... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
****
| 4 | NIv2 | task1212_atomic_classification_hasproperty | fs_opt | [
0.6006501913070679,
-0.13152974843978882,
0.3159821629524231,
0.31298860907554626,
-0.20600298047065735,
-0.5689538717269897,
0.48582756519317627,
0.9547338485717773,
-0.601426362991333,
-0.10336985439062119,
-0.6348450183868408,
-0.5360384583473206,
-0.6223636865615845,
0.1084271147847175... |
Definition: You are given a sentence and your task is to generate another sentence that supports the given input.
Input: The principle of superposition states that in an undisturbed stack of sedimentary strata the oldest layer is at the base and the youngest at the top.
Output: | The law of superposition is best described by: in undisturbed layers of sedimentary rock, the lowest layers contain the older rocks. | 2 | NIv2 | task1530_scitail1.1_sentence_generation | zs_opt | [
0.08764875680208206,
0.12488052248954773,
-0.7688173055648804,
-0.6837582588195801,
-0.06681342422962189,
-0.39043134450912476,
0.20342642068862915,
0.5308438539505005,
0.41109973192214966,
-0.6290554404258728,
0.05638549476861954,
-0.17631188035011292,
-0.5784140825271606,
0.5514895915985... |
Teacher:In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Teacher: Now, understand the problem? Solve this instance: English: Since leaving ... | No | 6 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.7551125288009644,
0.0676322728395462,
0.7393184900283813,
0.3130813241004944,
-0.032439492642879486,
-1.1789618730545044,
0.38918977975845337,
0.7573320865631104,
0.17068415880203247,
-0.8000767230987549,
-0.017379166558384895,
0.5009903907775879,
-0.10768662393093109,
0.024261623620986... |
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
One example is below.
Q: Tweet: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymized_account, Question: Does the ... | No | 9 | NIv2 | task839_cdt_classification | fs_opt | [
-1.413590669631958,
1.0614761114120483,
0.5171937942504883,
0.3129979074001312,
-0.8280623555183411,
-0.7158132791519165,
0.9019767642021179,
-0.7868379354476929,
-0.12037992477416992,
0.06954115629196167,
-0.3695617914199829,
0.24956026673316956,
-0.7655786871910095,
-0.02476242557168007,... |
Instructions: In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information t... | How long did the actor that Edwards worked with as advisor served as Governor of California? | 3 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
0.6072314381599426,
0.17211607098579407,
-1.0263898372650146,
-0.38624951243400574,
0.18961676955223083,
0.02255292236804962,
0.36916351318359375,
0.9742432832717896,
-0.27415555715560913,
0.22981029748916626,
0.01958490163087845,
1.0211076736450195,
-0.6024959087371826,
0.4510245025157928... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
Example: Hello! I would love to learn about Antigua and Barbuda today.
Antigua and Barbuda is an island nation in the Caribbean ... | China | 1 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
0.5956628322601318,
0.12962961196899414,
-0.531590461730957,
-0.7273055911064148,
0.699196994304657,
-0.25292742252349854,
0.31760042905807495,
0.8246798515319824,
-0.9815541505813599,
0.5063730478286743,
-0.001161152496933937,
0.22494164109230042,
-0.32192856073379517,
0.4434348940849304,... |
Instructions: This task is to translate the English language Input to Telugu Language Output
Input: Contact Us - Wuxi Linbay Machinery Co., Ltd
Output: | మమ్మల్ని సంప్రదించండి - ఉక్షి Linbay మెషినరీ కో, లిమిటెడ్ | 3 | NIv2 | task1616_cc_alligned_translate_eng_tel | zs_opt | [
0.2803173065185547,
1.0503761768341064,
-0.22264492511749268,
0.352784663438797,
0.14411605894565582,
-0.9675467610359192,
0.1048458069562912,
-0.45669618248939514,
-0.2946632504463196,
-0.016410190612077713,
-0.006334972567856312,
0.37319183349609375,
0.5864088535308838,
-0.26515817642211... |
You will be given a definition of a task first, then some input of the task.
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 situat... | No | 1 | NIv2 | task579_socialiqa_classification | zs_opt | [
-0.24765998125076294,
0.04412515461444855,
-0.020026708021759987,
0.9024072289466858,
0.42002129554748535,
-0.33652228116989136,
0.35513728857040405,
0.7077678442001343,
-0.02961139753460884,
0.5370101928710938,
0.4196992814540863,
-0.1871640980243683,
-0.08211920410394669,
-0.654510676860... |
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Example input: The first two were found unreliable and the p... | Hindi | 3 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | fs_opt | [
0.3170512914657593,
0.6812818050384521,
0.34845221042633057,
0.3786245584487915,
-0.23880210518836975,
-0.5090476274490356,
0.2295370250940323,
0.5187290906906128,
0.2547586262226105,
-0.40817028284072876,
-0.17298243939876556,
-0.497572660446167,
0.10179522633552551,
-0.03843078017234802,... |
Detailed Instructions: In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
Problem:I bought this toy and put one of my dogs in her crate with it. I just filled it with a handful of kibble. 1/2 hou... | False | 8 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
-0.3176889717578888,
0.3547874093055725,
-0.15222302079200745,
0.014951582066714764,
0.0010652251075953245,
-0.6287487745285034,
0.6146572828292847,
0.3114054203033447,
-0.6495239734649658,
-0.32823920249938965,
0.005543878301978111,
0.19647212326526642,
-0.34582245349884033,
-0.1739018410... |
In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person.... | No
| 7 | NIv2 | task632_dbpedia_14_classification | fs_opt | [
-0.052813172340393066,
0.1073165163397789,
-0.5338382720947266,
0.3077704608440399,
0.2259434461593628,
-0.5880348682403564,
1.1651685237884521,
0.18843001127243042,
-0.45222675800323486,
0.6944169402122498,
-0.4397086501121521,
0.20908090472221375,
-0.7017868161201477,
-0.4705518186092376... |
Given the task definition, example input & output, solve the new input case.
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 ... | run and turn left twice | 1 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.066730797290802,
0.515799880027771,
-0.4119035601615906,
0.45966631174087524,
0.007599304895848036,
0.20324896275997162,
0.24600850045681,
0.931253969669342,
-0.3905468285083771,
-0.01908552646636963,
-0.8778696060180664,
-0.44523048400878906,
-0.5125758647918701,
-0.31184348464012146,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| 5 | NIv2 | task1208_atomic_classification_xreason | fs_opt | [
0.5074024200439453,
0.4197336435317993,
-0.07470011711120605,
0.13820473849773407,
-0.6505405306816101,
-0.952426016330719,
0.6467809677124023,
0.6130523085594177,
-0.4301612377166748,
-0.13621506094932556,
-0.49007177352905273,
-0.01487994845956564,
-0.6844251155853271,
-0.262520968914032... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Japanese 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).
しかし、FDAは若い利用者が他のO... | However, the FDA had not considered similar "potential behavioral implications" for younger users for other OTC-switches and had previously considered it appropriate to extrapolate data from older to younger audiences. | 5 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.6270219087600708,
0.2971828877925873,
0.3558887541294098,
-0.730678915977478,
-0.0726960301399231,
-0.3158661127090454,
0.6811559200286865,
0.5868299007415771,
0.5500949025154114,
-0.2869570851325989,
-0.591042160987854,
0.629591703414917,
-0.8214285373687744,
-0.19520704448223114,
0.... |
Detailed Instructions: Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPO... | yes | 9 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
-0.8034144043922424,
0.5120932459831238,
0.410923033952713,
-0.028414983302354813,
-0.09455178678035736,
-0.889589250087738,
0.4288787841796875,
0.6249136328697205,
-0.06459416449069977,
-0.22699278593063354,
-0.25652027130126953,
0.5875502228736877,
-0.8704456090927124,
0.1670284271240234... |
instruction:
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an... | What may the narrator seek to do amid this recent heartbreak ?
| 9 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.2233125865459442,
0.055013641715049744,
-0.4102206230163574,
0.5641704201698303,
-0.22369888424873352,
-0.5028100609779358,
0.2522088587284088,
0.9373185634613037,
-0.23894476890563965,
0.24945366382598877,
-0.48637855052948,
0.27873045206069946,
-0.2708894610404968,
0.6650675535202026,
... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Problem:Czerpała dosłownie z wystąpień samej Palin.
Solution: | بل اقتبسوه كلمة كلمة من التصريحات الخاصة ببالين. | 8 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
0.008404993452131748,
0.8348445296287537,
-0.5379955768585205,
-0.4155544638633728,
-0.34717482328414917,
-0.14776603877544403,
1.6381295919418335,
-0.4560883045196533,
0.7944108247756958,
-0.14693349599838257,
-0.777193546295166,
-0.03727826476097107,
-0.9798765778541565,
0.26872578263282... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Q: Estamos rodeados por las personas más maravillosas que hacen cosas que parecieran ser absolutamente imposibles.
A: نحن محاطون بواسطة أكثر الشعوب روعة الذي يعملون أشياء يبدو من المستحيل تماما فعلها.
****
Q: Y por último,... | (ضحك) هذه العلم مختلف ، أكثر عمومًا ، من العلوم المعتمدة على الرياضيات التي نعرفها في 300 عام مضت.
****
| 4 | NIv2 | task1228_ted_translation_es_ar | fs_opt | [
-0.7945725917816162,
1.2360374927520752,
0.5704390406608582,
-0.9183239340782166,
-0.43332546949386597,
-0.013108119368553162,
0.4703630208969116,
0.3150206208229065,
0.5378545522689819,
-0.2736932933330536,
-1.2584209442138672,
0.8282025456428528,
-0.2380187213420868,
0.05192761495709419,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., Person... | Yes | 1 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.25767233967781067,
-0.27233052253723145,
0.2607795298099518,
0.4195175766944885,
-0.0759127289056778,
-1.141886591911316,
1.1136162281036377,
0.9287077188491821,
-0.4192722737789154,
-0.04736261069774628,
-0.28266915678977966,
-0.46202343702316284,
-0.8781203031539917,
-0.102120041847229... |
Definition: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Input: با دانستن این موضوع ، به همراه خانواده جوانم به کنیا نقل مکان کردیم.
Output: | Wiedząc o tym, wraz z moją młodą rodziną, przeprowadziliśmy się do Kenii. | 2 | NIv2 | task1272_ted_translation_fa_pl | zs_opt | [
-0.32988283038139343,
1.0787955522537231,
-0.9616578221321106,
-0.1961471289396286,
-1.0704638957977295,
-0.8009141087532043,
0.6533777117729187,
0.2085275650024414,
0.8316853046417236,
0.10532984137535095,
-0.18914034962654114,
0.6366536617279053,
-0.7280266880989075,
0.5585846900939941,
... |
In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Example: Sentence 1: Marcus needed clothing for a business casual e... | Solution: Lost Engagement Ring | 5 | NIv2 | task219_rocstories_title_answer_generation | fs_opt | [
0.4228265881538391,
0.21503359079360962,
-0.21423491835594177,
-0.24252431094646454,
0.8469967842102051,
-0.43468642234802246,
0.36380714178085327,
0.9075702428817749,
-0.15626679360866547,
0.009795384481549263,
-0.7438419461250305,
-0.21597671508789062,
-0.554313063621521,
0.3863435387611... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Q: Y me pregunto cuán a menudo sucede esto.
A: | E mi chiedo quanto spesso accadano queste cose. | 4 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.11813043802976608,
1.009757399559021,
-0.533515989780426,
0.27846312522888184,
-0.3836274743080139,
-0.20307353138923645,
0.23344478011131287,
0.999189019203186,
0.4243153929710388,
-0.6073410511016846,
-0.4743439555168152,
0.29182684421539307,
-0.5287802219390869,
0.9824718236923218,
... |
Teacher:In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given senten... | proud | 6 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
0.1969042867422104,
0.1737729161977768,
0.43416523933410645,
-0.18224014341831207,
0.10318051278591156,
-0.5144317150115967,
0.6438765525817871,
0.8538691997528076,
-0.10697779059410095,
-0.3207964301109314,
-0.47052693367004395,
-0.2500119209289551,
-0.6270177960395813,
0.0684652775526046... |
Given the task definition and input, reply with output. 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... | unrelated | 5 | NIv2 | task319_stereoset_classification_profession | zs_opt | [
-1.0404276847839355,
0.6710860133171082,
0.2540580630302429,
-0.16077552735805511,
-0.09419521689414978,
0.21283379197120667,
0.3529163599014282,
0.6964184045791626,
0.5660707950592041,
-0.12315762042999268,
-0.7168756723403931,
-0.27456939220428467,
-0.5572611093521118,
-0.312301427125930... |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Q: Sentence: With a fairly high price range, xname is located in the riverside area ... | cuisine[Chinese], eattype[pub], familyFriendly[yes]
****
| 4 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.2589266300201416,
-0.09021434187889099,
-0.4676320552825928,
-0.5308191180229187,
-0.2800169587135315,
0.5190684795379639,
0.3131222724914551,
0.9539844989776611,
0.31651389598846436,
-0.31842857599258423,
0.6540228128433228,
-0.5005282163619995,
-0.4282991886138916,
-0.0361849442124366... |
You will be given a definition of a task first, then some input of the task.
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try t... | churches. | 1 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.6325098276138306,
0.6268256902694702,
-0.22334149479866028,
0.593320906162262,
-0.03680230677127838,
-1.2292683124542236,
0.5412846803665161,
0.37416356801986694,
-0.28886890411376953,
-0.19624388217926025,
-0.9635757803916931,
0.03814305365085602,
-0.057766664773225784,
0.23061597347259... |
Part 1. Definition
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Part 2. Example
A ideia é muito, muito simples.
Answer: このアイデアはとてもシンプルで
Explanation: The Portugese sentence is correctly translated into Japanese, because the meaning is preserved.
Part 3. Exercise... | 車の生産自体がギーッと急停止しました | 7 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
-0.17789769172668457,
0.47652554512023926,
0.2920922636985779,
-0.6410214900970459,
-0.14589519798755646,
-0.45430320501327515,
0.7344961762428284,
0.3047105371952057,
0.36599454283714294,
-0.7008436918258667,
-1.3047577142715454,
-0.242371067404747,
-0.6618800163269043,
0.1645551919937133... |
instruction:
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
quest... | Sad
| 9 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | fs_opt | [
-1.3377535343170166,
0.24149969220161438,
0.5882290005683899,
-0.4318098723888397,
-0.20729094743728638,
-0.7356467247009277,
1.216264009475708,
0.2729853391647339,
0.26723164319992065,
0.5568276643753052,
0.02970995381474495,
-0.004831526894122362,
-0.11112117767333984,
0.3310974836349487... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is... | [66, 178, 172] | 1 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.2916984558105469,
0.8366269469261169,
-0.3776867687702179,
-0.2539863586425781,
0.04085284844040871,
-0.11907808482646942,
0.8109838962554932,
0.6342765688896179,
0.13031363487243652,
0.17969180643558502,
-0.46745896339416504,
-0.2366774082183838,
-0.44556987285614014,
-0.24372906982898... |
Teacher:Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation,... | production company | 6 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
-0.4406038224697113,
0.18091832101345062,
0.3053860068321228,
-0.3567093014717102,
0.10056557506322861,
0.35891109704971313,
-0.500118613243103,
0.5106563568115234,
-0.18263669312000275,
0.09601971507072449,
-0.24663178622722626,
-0.06036413460969925,
-0.591852605342865,
-0.618698298931121... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
But Eluned Morgan conceded t... | Planted question bid 'abuses system', Tory leader claims | 0 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.5910989046096802,
1.0798020362854004,
-0.049537189304828644,
-0.7185249328613281,
0.6062943339347839,
-0.36730021238327026,
0.4704173505306244,
0.8535425066947937,
-0.6347300410270691,
0.1335323601961136,
0.3846062123775482,
0.8775426149368286,
-0.012846939265727997,
0.7036541700363159,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
[EX Q]: Penso che una possibile spiegazione possa essere trovata tornando al fenomeno della muta.
[EX A]: And I think one explanation for this could be going back to the molting phenomenon.
[EX Q]: (♫ Aaaaaah... ♫) Eh no,... | They claim to be psychics, or sensitives, whatever they can.
| 6 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.07621829956769943,
0.18881672620773315,
-0.035737257450819016,
-0.33193886280059814,
-0.21005091071128845,
-0.9469874501228333,
-0.2708996832370758,
1.119335651397705,
-0.05416342616081238,
-0.17806357145309448,
-0.2651430070400238,
0.23816628754138947,
-0.5533242225646973,
0.3747289776... |
Detailed Instructions: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the buildin... | I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_JUMP I_JUMP I_JUMP | 9 | NIv2 | task130_scan_structured_text_generation_command_action_long | zs_opt | [
-0.1683967411518097,
0.9159717559814453,
-0.34730809926986694,
-0.07069981843233109,
0.025012223049998283,
0.30309194326400757,
0.38486021757125854,
-0.041740138083696365,
-0.12887322902679443,
-0.23446565866470337,
-0.8757820129394531,
0.31938138604164124,
-0.597367525100708,
0.0901914089... |
Definition: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ha... | Yes | 2 | NIv2 | task1212_atomic_classification_hasproperty | zs_opt | [
0.0908815935254097,
0.17894600331783295,
0.012423612177371979,
-0.16263431310653687,
-0.38668644428253174,
-0.7215778827667236,
0.7626792788505554,
0.6304790377616882,
-0.20061039924621582,
-0.1083671897649765,
-0.7834912538528442,
-0.5582995414733887,
-0.370265394449234,
-0.00234163482673... |
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