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: In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Q: En la determinación de la dureza del agua debida a la presencia de iones Ca2+ y Mg2+ se utiliza como reactivo valorante
A: | In the determination of water hardness due to the presence of Ca2 + and Mg2 + ions, the titrant reagent is used | 9 | NIv2 | task1433_head_qa_language_translation_es_to_en | zs_opt | [
-0.013330389745533466,
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-0.07793817669153214,
-0.9659479856491089,
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1.2236615419387817,
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-0.11482397466897964,
-0.1727469563484192,
-0.9806475639343262,
-0.4208155572414398,
0.103336200118... |
Detailed 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.
See one example below:
Problem: Text: quick backstory: i am a duel enrollment stud... | sucked my own dick, broke my back. | 4 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.3353974223136902,
0.45200204849243164,
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0.4499393701553345,
-0.12981033325195312,
0.04760910198092460... |
Instructions: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as... | walk opposite left twice after walk opposite right | 3 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.26520371437072754,
0.9241865277290344,
-0.5728720426559448,
0.3484342694282532,
-0.026942599564790726,
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0.033925414085388184,
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-0.1740601658821106,
-0.5936703085899353,
-0.5226839780807495,
-0.5424348711967468,
-0.05694378912448... |
Q: 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 buildi... | jump thrice and jump around right | 7 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.16763004660606384,
1.0845460891723633,
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-0.21986331045627594,
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-0.116949975490... |
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 presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong... | NN | 0 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.517218291759491,
0.4615607261657715,
-0.35197508335113525,
0.5281697511672974,
0.07170702517032623,
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... |
TASK DEFINITION: The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the commu... | Offensive
| 8 | NIv2 | task1502_hatexplain_classification | fs_opt | [
-0.0729319304227829,
0.33944863080978394,
0.2846683859825134,
0.40952110290527344,
-0.3372214138507843,
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-0.32926875352859497,
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-0.865488588809967,
... |
Detailed Instructions: 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.
Problem:Taking my first #CreativeWriting class this semester. Never before has my grade been based on writing short stories
So... | Not happy | 8 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-1.8050110340118408,
0.3334002196788788,
0.7910019159317017,
-0.1525484323501587,
0.16085225343704224,
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-0.3255508840084076,
-0.2575419247150421,
-0.5115577578544617,
-0.2057674378156662,... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions in the s... | Output: 1a, 3b
| 2 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
-0.3676721155643463,
0.19731353223323822,
0.1543959528207779,
0.5380502343177795,
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0.16805410385131836,
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-0.5924596190452576,
-0.13858705759048462,
0.3285183906555176,
-0.713347733020782... |
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 reasons do not need to use all the knowledge from the sentence. The ... | Solution: Wrong | 5 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
0.05096691846847534,
0.6845189929008484,
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0.09560903906822205,
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... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Problem:Credo che possiamo permetterci di essere ottimisti.
Solution: | Penso que podemos permitirnos ser optimistas. | 8 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.30512213706970215,
1.0715529918670654,
0.14643976092338562,
-0.5850724577903748,
-0.00824777688831091,
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0.3440783619880676,
-0.026207689195871353,
-0.8152800798416138,
0.33780163526535034,
-0.08945301175117493,
0.4658669829368... |
Detailed Instructions: In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that ... | considering a change in career | 9 | NIv2 | task595_mocha_answer_generation | zs_opt | [
-0.8268754482269287,
0.8013718724250793,
0.44621366262435913,
-0.37106961011886597,
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-0.6163834929466248,
0.28365179896354675,
-0.47386622428894043,
0.4690220355987549,... |
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're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense r... | False | 0 | NIv2 | task384_socialiqa_question_classification | fs_opt | [
0.16367961466312408,
0.6087573766708374,
0.5990601778030396,
-0.19729435443878174,
0.040879469364881516,
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-0.08015623688697815,
-0.23790998756885529,
0.3314530253410... |
Instructions: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a ste... | Unrelated | 3 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
0.21004661917686462,
0.24391305446624756,
-0.42319339513778687,
0.14673243463039398,
-0.33184683322906494,
-0.07036083936691284,
0.5461078882217407,
0.6162416934967041,
-0.033460214734077454,
-0.1430494338274002,
-0.10026730597019196,
-0.005062289070338011,
-0.7370291352272034,
-0.15518577... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common s... | Stereotype | 1 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
-0.1325646936893463,
-0.18102337419986725,
-0.046019408851861954,
0.5908094644546509,
0.0024336199276149273,
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0.38650888204574585,
1.0902879238128662,
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-0.10788807272911072,
-0.264199554... |
Instructions: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Input: English sentence: There are plenty of options out there, but most of them arenâ€TMt right for you.
Output: | E nwere ọtụtụ nhọrọ si n'ebe, ma ọtụtụ n'ime ha na-adịghị adabara gị na. | 3 | NIv2 | task452_opus_paracrawl_en_ig_translation | zs_opt | [
0.37154310941696167,
0.5919685363769531,
0.24337422847747803,
0.03345717862248421,
0.05080993473529816,
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0.3476506769657135,
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Q: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Tweet: @anonymized_account @anonymized_account @anonymized_account A co trzeba zrobić w kwestii finansowania kampanii z funduszy UE przez Ziobrę? , Question: Does the tweet contain cyberbullying (harmful)... | No | 7 | NIv2 | task839_cdt_classification | zs_opt | [
-1.4400906562805176,
1.2680753469467163,
0.29136693477630615,
0.7502763271331787,
-0.6855227947235107,
-0.748209536075592,
0.7313061952590942,
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0.542827308177948,
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... |
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 Farsi.
Example: وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة... | خوب ، اگر ما به انرژی نیاز داریم ، چه نوع انرژی می تواند باشد ؟ | 1 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.4119969308376312,
0.8498944640159607,
-0.6128281354904175,
-0.4518212080001831,
-0.3191450238227844,
-0.24978281557559967,
1.1254322528839111,
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0.2530452013015747,
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0.22381183505058289,
-0.2285742461681366,
-0.026521794497966... |
Q: 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 buildi... | walk after run twice | 7 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.19586211442947388,
0.908464789390564,
-0.46823281049728394,
0.21602898836135864,
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-0.32110917568206787,
-0.8064193725585938,
-0.28500455617904663,
-0.8909648656845093,
-0.1216824650... |
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).
One example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガル... | He was born in 1933 and grew up in poverty until he formed James Brown & The Famous Flames. | 6 | NIv2 | task436_alt_ja_en_translation | fs_opt | [
0.23928147554397583,
0.5119577646255493,
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0.21457922458648682,
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0.8650017380714417,
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0.2392215132713318,
... |
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 additional inform... | strengthener
| 1 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
0.20020096004009247,
0.13155578076839447,
-0.7541627883911133,
0.17952370643615723,
-0.10914961993694305,
-1.2303504943847656,
0.8778722882270813,
1.3096470832824707,
0.56280517578125,
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-0.764210045337677,
0.3907672166824341,
-0.7083797454833984,
-0.028883712366223335,... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
E, mentres a miña sensación de libre albedrío nestes mundos virtuais aínda pode estar limitada, podo aplicar o que aprendo á miña vida real. | Mentre il mio senso di libero arbitrio in questi mondi può essere ancora limitato, quello che imparo vale per la mia vita reale. | 0 | NIv2 | task1243_ted_translation_gl_it | zs_opt | [
-0.4620457887649536,
0.7203400731086731,
0.22113287448883057,
-0.3952459692955017,
-0.05578187480568886,
-1.4400665760040283,
-0.007058087736368179,
0.81380695104599,
-0.2629680037498474,
-0.4212213158607483,
-0.3762686848640442,
0.18346478044986725,
-0.4779108166694641,
0.1842798292636871... |
instruction:
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. A... | It seldom snowed in the South but when it did Lindy ran outside and made a snowman. It wasn't long before other kids came to help.
| 9 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.366539865732193,
1.019993782043457,
-0.6998484134674072,
-0.7058254480361938,
-0.5509549379348755,
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0.6532338857650757,
0.5221813321113586,
-0.36471027135849,
0.11912667006254196,
-0.37982258200645447,
0.10288529098033905,
0.09685787558555603,
-0.09172825515270233,... |
Q: 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 write the character's motivation by doing a specific job, which is given in the sentence... | None | 7 | NIv2 | task294_storycommonsense_motiv_text_generation | zs_opt | [
-1.0054335594177246,
0.2516917586326599,
0.18369083106517792,
-1.4099831581115723,
0.2507020831108093,
-0.5275294780731201,
0.6592181921005249,
0.5737812519073486,
0.87537682056427,
0.10638539493083954,
-0.28332453966140747,
-0.16014690697193146,
-0.16302166879177094,
0.011308271437883377,... |
Detailed Instructions: 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 ... | #1 return investors
#2 return transactions of #1
#3 return amount of #2
#4 return average of #3 for each #1 | 9 | NIv2 | task176_break_decompose_questions | zs_opt | [
0.9603365659713745,
-0.3253871500492096,
-0.8593264818191528,
0.6446898579597473,
0.5590720772743225,
-0.36850476264953613,
1.3466609716415405,
0.28158503770828247,
-0.5255966186523438,
0.45995229482650757,
-0.3891899287700653,
-0.1573847234249115,
0.041332632303237915,
0.6209932565689087,... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Input: Consider Input: Come disse una volta un grande fisico, ci sono queste piccole correnti che vanno all'inverso in biologia, che creano ordine nel veloce torrente dell'entropia.
Output: پس همانطور که یک فیزیکدان بزرگ گف... | Output: و سپس در نهایت ، تراوش این سیستم مکانیکی مولکولی را هم کنترل می کند ، که باعث هضم غذایی می شود که می پزیم.
| 2 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
-0.24908572435379028,
0.16825205087661743,
-0.3860282301902771,
-0.16542106866836548,
-0.6715308427810669,
-0.08083438128232956,
-0.15634948015213013,
0.4595135748386383,
-0.08052246272563934,
-0.1677365005016327,
-0.9694972038269043,
0.22980159521102905,
-0.7139206528663635,
0.05184890702... |
Q: In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
اعمال حج تمتع از چه روزی شروع میشود؟ <sep> ماه نیسان از چه روزی شروع میشود؟
A: | not-paraphrase | 7 | NIv2 | task465_parsinlu_qqp_classification | zs_opt | [
-0.6237196326255798,
0.396254301071167,
0.41790348291397095,
0.29577791690826416,
-1.070732831954956,
-0.41535836458206177,
1.2167832851409912,
0.7640525102615356,
0.1379733681678772,
-0.12837526202201843,
-0.12013114243745804,
-0.7836912274360657,
-0.18187983334064484,
0.717869758605957,
... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Problem:O meu trabalho artístico é acerca da identidade e da linguagem, desafiando pressupostos comuns baseados em como nos parecemos ou de onde vimos, género, raça, classe.
Solution: | Il mio lavoro artistico riguarda l'identità e la lingua, sfidando i pregiudizi diffusi basati sull'apparenza o l'origine, il sesso, la razza, la classe sociale. | 8 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
-0.4978145956993103,
0.6457364559173584,
0.47022831439971924,
0.23523913323879242,
-0.3337310552597046,
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-0.24781176447868347,
0.4869458079338074,
-0.25474461913108826,
-0.73460853099823,
-0.2263488471508026,
-0.2527111768722534,
-0.08828291296958923,
-0.302677929401397... |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Q: Gujarati: નિવાસી બાથરૂમમાં અપગ્રેડ કરેલ ફિક્સર અને એક્સેસરીઝ સાથે આધુનિક મોટેલ દેખાવ ધ... | Yes | 4 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-0.3902903199195862,
0.3360167443752289,
0.17045828700065613,
-0.0980568379163742,
0.2750816345214844,
-1.0166826248168945,
0.2580146789550781,
0.732434868812561,
-0.22988469898700714,
-0.15580280125141144,
-0.16316863894462585,
0.6498096585273743,
-0.7467801570892334,
-0.00776691781356930... |
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 building blocks ... | I_WALK I_WALK I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP | 3 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
0.04535879194736481,
0.7604161500930786,
-0.4798930883407593,
0.3235904276371002,
0.028586730360984802,
-0.1735365390777588,
0.01401745155453682,
0.23194780945777893,
-0.3099370002746582,
-0.12738138437271118,
-0.7798386812210083,
-0.2117363065481186,
-0.6824446320533752,
-0.20165696740150... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the endin... | She went online and found a few outfits she liked and bought them.
| 5 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
0.08192899823188782,
0.6943345069885254,
0.09849996119737625,
-0.7886768579483032,
-0.4237965941429138,
-0.2767581343650818,
0.9492650628089905,
0.5818158388137817,
0.060774512588977814,
-0.1719825565814972,
-0.41983091831207275,
0.16031235456466675,
0.07515530288219452,
0.1304077804088592... |
Given the task definition and input, reply with output. In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are sepera... | Not paraphrase | 5 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.9079510569572449,
0.5507005453109741,
0.2365734875202179,
-0.2110615372657776,
-0.14084948599338531,
0.28907936811447144,
0.7019168138504028,
-0.19294774532318115,
0.6957920789718628,
-0.6125909686088562,
-0.611606240272522,
0.39850306510925293,
-0.8899899125099182,
0.36721721291542053,... |
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
Q: claim: Basic income tax should be abolished.
perspective: P... | undermine | 4 | NIv2 | task738_perspectrum_classification | zs_opt | [
-0.2984161376953125,
0.3677365183830261,
-0.17209209501743317,
-0.5860884785652161,
-0.1804557591676712,
-0.7068063020706177,
1.2067753076553345,
0.9088061451911926,
0.5754966735839844,
0.09630338847637177,
-0.7665502429008484,
-0.25383830070495605,
-0.31534329056739807,
-0.035668313503265... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Example: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.
Output: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ ... | 吐き気を催すような食事もあります | 1 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.06530533730983734,
0.22343215346336365,
-0.26251035928726196,
-0.20526641607284546,
-0.15205365419387817,
0.7000441551208496,
-0.17582586407661438,
0.17146724462509155,
-0.25316405296325684,
-0.5008792281150818,
-0.11920642852783203,
-0.5572002530097961,
-0.8021939992904663,
-0.32846334... |
TASK DEFINITION: In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in ... | False
| 8 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
-0.06129865720868111,
0.18242695927619934,
-0.5632272958755493,
0.019235283136367798,
-0.2429777979850769,
0.40227222442626953,
0.568802535533905,
0.9217941761016846,
-0.3650524616241455,
0.12466200441122055,
-0.1289818286895752,
0.6311399936676025,
-0.9541376829147339,
-0.1258085072040558... |
Detailed Instructions: Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at mos... | Colombians scramble to get ready for coronavirus quarantine. | 4 | NIv2 | task1368_healthfact_sentence_generation | fs_opt | [
0.917920708656311,
0.4343699514865875,
0.04403957724571228,
-0.7650997042655945,
0.7131732106208801,
-0.40914440155029297,
0.591350257396698,
1.4699974060058594,
-0.5094932317733765,
-0.0885278731584549,
-0.5120089054107666,
0.9778055548667908,
-0.4283861219882965,
0.009380703791975975,
... |
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... | against | 0 | NIv2 | task1727_wiqa_what_is_the_effect | zs_opt | [
0.1685006022453308,
0.8213204145431519,
-0.3470669388771057,
-0.3135729432106018,
0.0680379644036293,
-0.6425391435623169,
-0.39278143644332886,
0.8981606960296631,
0.23838654160499573,
0.14908501505851746,
-0.6344859600067139,
0.49657201766967773,
-0.31171151995658875,
0.7806035280227661,... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: @wizbiff I know! No, we're doing a South Beach tour b4 the flight - next time!!
Student: | positive | 6 | NIv2 | task195_sentiment140_classification | zs_opt | [
-1.425614833831787,
-0.19055356085300446,
1.0474556684494019,
0.14784877002239227,
0.5952421426773071,
-0.43581506609916687,
-0.20481336116790771,
0.24384565651416779,
0.0680273175239563,
0.620647132396698,
-0.36892038583755493,
-0.7423570156097412,
0.5064954161643982,
-1.0792012214660645,... |
Given the task definition and input, reply with output. Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
A continuation of the illest hip-hop album in recent times, 400 degreez. If you aren't down w/ C.M.B yet, go get 400 degreez first. If you already got ... | Positive | 5 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.44592347741127014,
-0.05082331970334053,
0.1454666554927826,
0.2728159427642822,
-0.17486196756362915,
0.16306616365909576,
0.4737702012062073,
-0.39959242939949036,
-0.13308750092983246,
0.46743667125701904,
-0.46964746713638306,
-0.24933874607086182,
0.048986487090587616,
-0.673017919... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Arabic, generate a new Arabic 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 hi... | الجحيم من احترام الصورة النمطية هو أنك تقبل ذلك. | 1 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | zs_opt | [
-0.39617326855659485,
0.6041556596755981,
0.5732418298721313,
-0.5586907863616943,
-0.2976559102535248,
-0.24935750663280487,
0.9183170795440674,
0.09872758388519287,
-0.1793510913848877,
0.047392867505550385,
-0.6371022462844849,
-0.26958996057510376,
-1.0572218894958496,
0.15955518186092... |
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.
Sentence 1: Wendy wanted to be on a skydiving world record. Senten... | Wendy gets a world record | 0 | NIv2 | task219_rocstories_title_answer_generation | zs_opt | [
-0.9153306484222412,
0.9622699022293091,
0.0678940862417221,
-0.7533483505249023,
-0.016905341297388077,
0.14596828818321228,
0.16077874600887299,
0.4224916696548462,
0.17824265360832214,
-0.08087899535894394,
-0.7638469934463501,
-0.7500348091125488,
-0.1934346854686737,
-0.06934832036495... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
Q: Phone Recording: Hello and thank you for calling c... | He will use his own bike.
****
| 4 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
0.9585678577423096,
0.3502257466316223,
-0.594454288482666,
-0.24027222394943237,
0.7942624688148499,
-0.49613016843795776,
0.8186429738998413,
0.6646263599395752,
0.4033360481262207,
0.21448373794555664,
-0.1475803554058075,
0.35216236114501953,
0.21300038695335388,
0.39624059200286865,
... |
Instructions: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sent... | 15 | 3 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.36506617069244385,
0.3449012041091919,
-0.12227818369865417,
-0.2113305777311325,
-0.4973105788230896,
0.024272415786981583,
0.28011655807495117,
0.5518285036087036,
0.10641174018383026,
-0.4624181389808655,
-0.8992407321929932,
-0.2521061599254608,
-0.4117870330810547,
0.20924061536788... |
You are given a sentence in English. Your job is to translate the English sentence into Galician.
Example input: Now, it's next door, or in my house.
Example output: Agora, está ao lado, ou na miña casa.
Example explanation: The English sentence is correctly translated into Galician, because the meaning is preserved.
... | (Risas) Pero creo que iso tampouco contentaría aos nenos de sexto curso. | 3 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
-0.41914376616477966,
1.1874446868896484,
0.4587293863296509,
-0.748653769493103,
-0.23339010775089264,
-1.27927827835083,
0.411837100982666,
0.417312890291214,
0.1240517646074295,
-0.610648512840271,
-0.24350875616073608,
0.5866813659667969,
-1.2895342111587524,
0.22346360981464386,
-0.... |
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 | task1212_atomic_classification_hasproperty | zs_opt | [
0.10131965577602386,
0.08577687293291092,
0.2686559557914734,
-0.05627208948135376,
-0.41744744777679443,
-0.7776674032211304,
0.941586434841156,
0.6742169857025146,
-0.4604921042919159,
-0.22925323247909546,
-0.8455734252929688,
-0.43808674812316895,
-0.30076467990875244,
0.09090551733970... |
In this task, you need to count the number of words in a sentence that contain the given letter
--------
Question: Sentence: 'a man sleeping on a park bench then a woman looks at another man with a newspaper over his face on another park bench'. How many words contain the letter 't' in the sentence.
Answer: 5
Questi... | 4
| 7 | NIv2 | task161_count_words_containing_letter | fs_opt | [
0.08472244441509247,
0.8628756403923035,
-0.814109206199646,
-0.43187740445137024,
0.14730389416217804,
0.3260912299156189,
0.44071006774902344,
-0.0002610188676044345,
0.8457577228546143,
-0.05469381809234619,
-0.2597814202308655,
0.14670148491859436,
0.22459937632083893,
-0.2900429368019... |
Given the task definition and input, reply with output. Given a sentence in Japanese, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
サセックスとランシングカレッジは、1860年11月にブライトンの公立学校で最初のフットボールの試合をしたと記録されています。
| Sussex and Lancing Colleges , which played a football match in November 1860 , are recorded as the first of public schools in Brighton . | 5 | NIv2 | task813_pawsx_japanese_english_translation | zs_opt | [
0.011494141072034836,
1.0256218910217285,
0.40115219354629517,
-0.2983185052871704,
-0.2263471484184265,
-0.02181086130440235,
0.5877187252044678,
-0.36494016647338867,
0.19703146815299988,
-1.0705301761627197,
0.34548431634902954,
0.5848202705383301,
-0.7527621984481812,
0.423014163970947... |
Given the task definition and input, reply with output. A text is given in Marathi. Translate it from the Marathi language to the Telugu language. The translation must not omit or add information to the original sentence.
काशीच्या जनतेच्या गेल्या चार वर्षातील संकल्पामुळे जो बदल घडून आला तो आता दृश्य स्वरुपात दिसत आहे.... | కాశీ ప్రజల నాలుగు సంవత్సరాల సంకల్ప ఫలితంగా తీసుకురాబడ్డ పరివర్తన ప్రస్తుతం కంటికి కనిపిస్తోందని ఆయన అన్నారు. | 5 | NIv2 | task1027_pib_translation_marathi_telugu | zs_opt | [
0.002065257867798209,
1.3958090543746948,
0.24112442135810852,
0.09536857157945633,
-0.07461527734994888,
-0.7879176139831543,
1.0481151342391968,
0.52765291929245,
0.07673077285289764,
-0.17719027400016785,
-0.25760209560394287,
-0.14058759808540344,
0.14275434613227844,
0.535923123359680... |
In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Q: According to the Bureau of Meteoro... | Not paraphrase | 4 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.49396952986717224,
0.9146018028259277,
-0.0473475456237793,
0.3674977719783783,
0.35014796257019043,
-0.4855803847312927,
0.7074170112609863,
0.10012762248516083,
-0.14005398750305176,
-0.6527372598648071,
0.043669939041137695,
0.45644766092300415,
-1.003089189529419,
0.684036374092102,... |
You are given a statement written in Assamese. 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 .
One example is below.
Q: Statement: ৰোমান সম্ৰাজ্যৰ সময়ত আনুমানিক খ্ৰীষ্টীয় দ্বিতীয় শতিকাত নেমু দক্ষিণ ইটালীৰ ... | অসমৰ | 9 | NIv2 | task944_wiki_cloze_as_multiple_choice_question_answering | fs_opt | [
0.22364617884159088,
0.4021322727203369,
-0.07328194379806519,
0.5812203884124756,
-0.023963654413819313,
-0.03886790573596954,
-0.4098295569419861,
0.9021915197372437,
0.308139443397522,
0.4275434613227844,
0.5226199626922607,
0.5823361873626709,
-0.8773319721221924,
-0.36665698885917664,... |
In this task, you need to replace a letter in the sentence with another given letter.
Input: Consider Input: Sentence: 'a person scooping from a large pot of soup on the stove into a soup bowl'. Replace the letter 'a' with 'x' in the sentence.
Output: x person scooping from x lxrge pot of soup on the stove into x sou... | Output: a banana tree witt multiple bunctes
| 2 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
0.35358548164367676,
0.5369182825088501,
-0.7885710000991821,
-0.05759493261575699,
-0.09071178734302521,
-0.5011643171310425,
0.19533579051494598,
-0.17454060912132263,
0.3070141673088074,
-0.9220597147941589,
0.15107597410678864,
-0.11444608122110367,
0.02193208783864975,
-0.211753696203... |
You will be given a definition of a task first, then some input of the task.
A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
o સુપરવાઈઝરી અધિકારીની પરવાનગી વિના મૂલ્યાંકન અધિકારી આવા મામલાઓમાં તપાસ નહી... | اسیسنگ افسر اپنے نگراں افسر کی منظوری حاصل کیے بغیر اس طرح کے معاملات میں کوئی جانچ پڑتال نہیں کرے گا۔ | 1 | NIv2 | task1001_pib_translation_gujarati_urdu | zs_opt | [
-0.7818135023117065,
0.8644852638244629,
-0.2240327149629593,
-0.5099374651908875,
-0.09419851750135422,
-0.5924379825592041,
0.7729505300521851,
-0.13118338584899902,
0.3650895953178406,
-0.6637560725212097,
-0.21152788400650024,
-0.3448546528816223,
-0.11614393442869186,
0.04008988291025... |
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | 你可以用一个忙 保持联系 与朋友。
| 1 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
-0.5863706469535828,
-0.13246092200279236,
-0.3542136549949646,
-0.23142796754837036,
-0.10882364958524704,
-0.6076315641403198,
-0.8545516729354858,
0.839024543762207,
-0.1284036636352539,
0.02943214401602745,
-0.31247374415397644,
0.2384573370218277,
0.12255600839853287,
-0.1176125928759... |
This task is to translate the Telugu Language Input to English Language Output
One example is below.
Q: నేను వీడియో చేస్తున్నాను
A: I am making a video.
Rationale: Both the sentences says the same meaning in different languages, so it is a correct translation.
Q: © 2006-2018 సర్వ హక్కులు సి-డాక్ కు రిజర్వు చేయబడినవి.
A... | © 2006-2018 C-DAC. All rights reserved. | 9 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.009919348172843456,
0.6590315103530884,
0.05670648440718651,
0.4729953408241272,
0.026434510946273804,
0.07793095707893372,
-0.3055149018764496,
1.1703426837921143,
-0.3559131622314453,
-0.4121244549751282,
0.42732518911361694,
-0.24628902971744537,
-0.3624780476093292,
-0.2239788174629... |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating... | Does stathmin destabilizing microtubule dynamics promote malignant potential in cancer cells by epithelial-mesenchymal transition?
****
| 4 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.7079119086265564,
-0.4067921042442322,
-0.878562867641449,
0.38974958658218384,
0.761128306388855,
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0.8323101997375488,
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0.22487907111644745,
-0.6686854958534241,
0.05690888315439224,
-0.5120517015457153,
0.40992048382759094,
... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
Q: Greenland remains. Twenty-eight years ago, this is what the polar ice cap — the North Polar ice cap — looked like at the end of the summer, at the fall equinox.
A: گرینلند باقی است. 28 سال پیش اینگونه قله یخچال قطبی- ق... | و دنیا به آخر نرسید.
****
| 4 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-1.4342362880706787,
0.759242057800293,
-0.06706546247005463,
-0.10576199740171432,
-0.4803723394870758,
-1.7188427448272705,
0.1460212916135788,
0.6565799117088318,
-0.7050209045410156,
-0.2465287744998932,
-0.199955552816391,
0.5709983110427856,
-0.7437233924865723,
0.4803287982940674,
... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | YEAR | 0 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
-0.08857658505439758,
0.7521169781684875,
-0.4554033875465393,
-0.01671726256608963,
-0.20317649841308594,
-0.3285260796546936,
1.41386079788208,
1.017460584640503,
0.13981519639492035,
0.2944939136505127,
-0.379935085773468,
0.2998347282409668,
-0.3837358057498932,
0.03728563338518143,
... |
We would like you to assess the QUALITY of each of the following argument (discussing Gay Marriage) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of gay marriage. A... | Valid
| 6 | NIv2 | task148_afs_argument_quality_gay_marriage | fs_opt | [
0.45519471168518066,
0.3394937515258789,
0.2506442368030548,
0.006980761419981718,
-0.014562503434717655,
-1.1666666269302368,
0.4507697820663452,
0.5520739555358887,
0.340893030166626,
0.003966344986110926,
-0.5080885291099548,
0.49578434228897095,
-1.0246319770812988,
-0.4850451052188873... |
instruction:
Given the Question and Answer pair, detect whether the answer is acceptable or not. Denote acceptable answer as "yes", otherwise denote as "no". An acceptable answer is consistent with the context in question, detailed, long, and uses general knowledge of English. Answers that are not definite and suggest ... | yes
| 9 | NIv2 | task226_english_language_answer_relevance_classification | fs_opt | [
0.3512083888053894,
-0.2493208348751068,
0.03167099878191948,
0.16705024242401123,
0.32248032093048096,
-1.1635587215423584,
0.47990739345550537,
0.9403438568115234,
-0.5024635791778564,
0.07924909144639969,
-0.044760145246982574,
0.2256612777709961,
-0.6922484636306763,
-0.053545247763395... |
In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, lik... | [26.0] | 9 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.3131793737411499,
0.6361268758773804,
-0.6949846744537354,
-0.19910100102424622,
0.09922534227371216,
0.24708575010299683,
0.8935657739639282,
0.7402241230010986,
0.0752490758895874,
-0.3796687722206116,
-0.7466251850128174,
-0.2569158673286438,
0.03741846978664398,
0.36702805757522583,... |
Detailed Instructions: Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Problem:Passage: Jacksonville is in the First Coast region of northeast Florida and is centered on the banks of the St. Johns R... | St. Johns River | 8 | NIv2 | task1608_xquad_en_answer_generation | zs_opt | [
0.4091503620147705,
0.2790193259716034,
-0.22730185091495514,
0.2148892879486084,
0.02301107347011566,
-0.37158718705177307,
-0.17088213562965393,
0.9019488096237183,
-0.2658637762069702,
0.2681284248828888,
0.19883368909358978,
-0.18006624281406403,
-1.0753633975982666,
-0.335830211639404... |
Teacher:In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
Teacher: Now, understand the problem? Solve this instance: 24 whole White Mushrooms, Stems Removed And Cleaned With A Damp Cloth, 2 whole Hot Italian... | White Mushrooms, Italian Sausages, Egg, Breadcrumbs, Oil, Garlic, All-purpose, Salt, Black Pepper, Beef Broth, Worcestershire Sauce | 6 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
0.1775307059288025,
-0.024705471470952034,
0.2683563828468323,
0.37857529520988464,
-0.13816475868225098,
-0.2372286021709442,
0.4178197979927063,
0.8329887986183167,
-0.37844330072402954,
-0.07892969250679016,
0.39434391260147095,
0.12557683885097504,
-0.6509381532669067,
-0.7676231861114... |
Teacher:In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Teacher: Now, understand the problem? Solve this instance: Sentence1: A cop car with it's siren on approached Gary. Sentence2: Gary had to park on the side of ... | Cop, Gary | 6 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
-0.32494306564331055,
0.07020212709903717,
0.21491292119026184,
-0.4221138060092926,
-0.18067601323127747,
-0.8774902820587158,
0.44877612590789795,
0.357433557510376,
0.6317103505134583,
0.1322188377380371,
-0.5593169927597046,
-0.49756303429603577,
-0.20360010862350464,
0.100017018616199... |
Given the task definition and input, reply with output. 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.
Really excited to see our team this year, and especially moving in the next 2-3 years when hi... | Happy | 5 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-1.4401500225067139,
0.4547770023345947,
0.3707064390182495,
0.34393036365509033,
0.19034487009048462,
-0.6649792194366455,
0.40260615944862366,
-0.48018115758895874,
0.5383288860321045,
0.23013965785503387,
-0.4105238616466522,
0.2445959597826004,
-0.407379686832428,
-0.08375464379787445,... |
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 additional inform... | weakener | 0 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.13123169541358948,
0.3481025695800781,
-0.4059928059577942,
0.18617117404937744,
-0.22735723853111267,
-0.8587194681167603,
1.2018307447433472,
1.216618299484253,
0.6341162323951721,
-0.4023178815841675,
-1.2318594455718994,
-0.613122284412384,
-0.6216437816619873,
-0.011470072902739048,... |
A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: राज्य की कनेक्टविटी को बेहतर करने के लिए सरकार 1000 करोड़ रुपए की परियोजनाओं पर काम कर रही है।
A: राज्याचे दळणवळण सुधारण्यासाठी 1 हजार कोटी रुपयांच्या प... | भारत आणि ओमानमध्ये संस्कृती आणि पर्यटन क्षेत्रातील संबंध अधिक दृढ करण्याच्या दृष्टीने आयोजित द्विपक्षीय चर्चांमध्येही ते सहभागी झाले.
****
| 4 | NIv2 | task1081_pib_translation_hindi_marathi | fs_opt | [
-0.27245163917541504,
0.7743678092956543,
0.039865922182798386,
-0.4114035964012146,
-0.005582058802247047,
-0.22222159802913666,
0.8688356876373291,
0.3653401732444763,
-0.5357199311256409,
-0.09043757617473602,
-0.6141706705093384,
0.00012921669986099005,
0.12983505427837372,
-0.20870980... |
Part 1. Definition
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresse... | Positive | 7 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.6359370946884155,
0.28689754009246826,
0.766217827796936,
0.07763304561376572,
0.5788737535476685,
-1.0867177248001099,
0.5618804693222046,
0.13386890292167664,
0.3808184266090393,
0.19325363636016846,
-0.3719579577445984,
0.14833852648735046,
-0.380130410194397,
-0.43112337589263916,
... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Context: David Letterman announces that he... | no | 0 | NIv2 | task242_tweetqa_classification | zs_opt | [
-0.3703165054321289,
-0.14048197865486145,
-0.005601923912763596,
0.2953774333000183,
0.25801581144332886,
-0.0023263082839548588,
0.3531108796596527,
-0.560121476650238,
0.07562726736068726,
0.3435964584350586,
-0.40199175477027893,
-0.3342287540435791,
-0.26828622817993164,
-0.0010780822... |
You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct ... | Solution: C | 5 | NIv2 | task229_arc_answer_generation_hard | fs_opt | [
0.34497833251953125,
0.48316729068756104,
-0.6280092000961304,
-0.4596647024154663,
-0.729340672492981,
-1.07064688205719,
0.6513909101486206,
0.5603116154670715,
-0.39097732305526733,
-0.06814128160476685,
-0.6014842987060547,
0.07150103151798248,
-0.11062636971473694,
-0.3779251277446747... |
Detailed Instructions: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Q: Home schooling may have been a success for some but in my overall experience - and that of the parents I have spoken to - those successes have been few and far between. Whether ... | Home schooling is causing stress in millions of homes across the UK. BBC newsreader Kate Silverton, who is also a trainee child psychotherapist and a mother-of-two, has like most parents found lockdown a very challenging time. After speaking to other parents about their own stresses and fears, she warns about the damag... | 9 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
0.4074232578277588,
0.30041179060935974,
-0.7798860669136047,
-0.24874761700630188,
0.6623476147651672,
0.24246245622634888,
0.5932070016860962,
1.0443096160888672,
-0.29280054569244385,
0.21405714750289917,
0.14867106080055237,
0.955437421798706,
-0.36751312017440796,
-0.18368926644325256... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Ex Input:
'Memorandos são visitações' - informei-os.
Ex Output:
من به آنها اطلاع دادم 'یادداشت ها برای عیادت آمده اند'
Ex Input:
Foi chamando-os para verem o efeito que causaram.
Ex Output:
اینکه به اونا اعلام ... | صفحه ی هفدهم و یه نصف صفحه
| 1 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
0.030779613181948662,
0.24424508213996887,
-0.5428463220596313,
0.018907252699136734,
-0.6491722464561462,
-0.7641288638114929,
0.98944491147995,
0.15171170234680176,
0.4852682948112488,
-0.45965486764907837,
-0.9398794174194336,
0.3778061866760254,
-0.22126559913158417,
0.8867237567901611... |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post co... | NOT | 8 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-1.0923593044281006,
0.607860267162323,
0.6124374270439148,
0.5907917022705078,
-0.2674489915370941,
-0.7918605804443359,
0.6138320565223694,
0.12218908220529556,
0.4386044144630432,
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0.26351332664489746,
-0.06634081900119781,
-0.6411508321762085,
-0.7694740295410156,
... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Mrówki patrolujące... To miało być szkło powiększające... wyruszają wcześnie o poranku zanim poszukiwacze rozpoczną swoją pracę.
| i ricognitori — questa dovrebbe essere una lente di ingrandimento — sono un gruppo interessante che vanno fuori presto al mattino prima che le raccoglitrici siano attive. | 5 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-1.2454267740249634,
1.4024322032928467,
0.2067321389913559,
0.14279207587242126,
-0.8003529906272888,
0.32687193155288696,
0.08438101410865784,
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0.035773470997810364,
-0.8150659799575806,
-0.905231773853302,
0.16676467657089233,
-0.7929612994194031,
0.205846562981605... |
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the auth... | no | 0 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
0.05845575034618378,
-0.19224226474761963,
0.33406561613082886,
0.2004719227552414,
-0.01603822410106659,
-0.767852246761322,
0.014346634969115257,
0.5570352077484131,
0.009247148409485817,
-0.0024981480091810226,
-0.228446826338768,
-0.03342051059007645,
0.06413537263870239,
-0.5944124460... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
One example is below.
Q: É basicamente un caldeiro que rota.
A: ويوجد أساسا مرجل دوار.
Rationale: The Galician sentence is correctly translated into Arabic, because the meaning is preserved.
Q: Lógranse ver algúns lixeiros... | يمكنكم رؤية تفاصيل صغيرة والتى بدأت في الظهور. | 9 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
-0.3777053952217102,
0.6095973253250122,
-0.18506401777267456,
-1.0493707656860352,
-0.14054176211357117,
-0.2530321776866913,
1.2300727367401123,
-0.17272432148456573,
-0.38237789273262024,
-0.33216592669487,
-0.6246318817138672,
-0.5694229602813721,
-1.013327717781067,
0.6849038600921631... |
In this task, you're given a context, 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 context and link information to create the q... | What golf course is the British Ladies Amateur played? | 9 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
-0.09152746200561523,
0.4102797508239746,
-0.40143173933029175,
0.35040998458862305,
0.2995651960372925,
-0.8394479751586914,
0.4540990889072418,
1.2659035921096802,
0.1336422711610794,
0.023015577346086502,
-0.8470022082328796,
0.03965071216225624,
-0.9548249244689941,
0.20131593942642212... |
Definition: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the indiv... | red_treasure_chest | 2 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
-0.22723162174224854,
-0.25192326307296753,
-0.532202959060669,
-0.12500420212745667,
-0.40945225954055786,
-0.3685038089752197,
0.039931125938892365,
1.0596401691436768,
0.3204215168952942,
-0.0684938058257103,
-0.2556294798851013,
0.518893837928772,
-0.044860195368528366,
-0.220930635929... |
Given the task definition and input, reply with output. In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with th... | 1 | 5 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
-0.6961236000061035,
0.07374206185340881,
0.24117371439933777,
0.4813624620437622,
-0.1980457305908203,
-0.5105778574943542,
0.5822324156761169,
1.1407158374786377,
-0.1731933057308197,
0.19113019108772278,
-0.2696446180343628,
-0.5011681914329529,
-0.4973835051059723,
0.013412412256002426... |
instruction:
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the s... | Man with white dress, holds a can and walking on a brick pavement
| 9 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.1593395173549652,
0.42466962337493896,
-0.19568568468093872,
-0.6153546571731567,
-0.05657021701335907,
-0.6034888029098511,
-0.19948162138462067,
0.8617017269134521,
0.3678876757621765,
-0.05602642521262169,
-0.7541836500167847,
-0.24220451712608337,
-0.008983992040157318,
-0.443288087... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | Abe couldn't afford to sign up for a tournament.
| 5 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.0892268717288971,
0.1149931401014328,
-0.10991889983415604,
-0.012446373701095581,
-0.13078533113002777,
-0.5014526844024658,
-0.12792906165122986,
0.8623821139335632,
-0.21212002635002136,
-0.1941959112882614,
-0.6533913016319275,
0.4067317545413971,
-0.4280489981174469,
-0.145615845918... |
Convert a disfluent question to a proper question. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
[Q]: What were, no actually tell me, what did Basset analyze before coming to his conclusions?
[A]: What d... | What is the process by which the adaptive immune system is evaded by the chainging of non-essential epitopes called?
| 5 | NIv2 | task1622_disfl_qa_text_modication | fs_opt | [
1.0271174907684326,
0.27683818340301514,
-0.3084777295589447,
0.21024540066719055,
-0.27393436431884766,
-0.7491730451583862,
0.787833034992218,
-0.5869812369346619,
0.11154887825250626,
-0.08315396308898926,
-1.0241467952728271,
-0.4994294345378876,
-0.7995414733886719,
0.3114446997642517... |
Detailed Instructions: In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be... | decided | 8 | NIv2 | task390_torque_text_span_selection | zs_opt | [
-0.26691824197769165,
0.6521270275115967,
0.005899322219192982,
-0.9996673464775085,
-0.7056782245635986,
-0.04526687413454056,
1.1688427925109863,
0.14324554800987244,
-0.09616602957248688,
0.3574464023113251,
-0.07314394414424896,
-0.013537058606743813,
-0.7449140548706055,
0.45493483543... |
Given the task definition and input, reply with output. This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and sem... | [['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'food', 'French'], ['Fitzbillies', 'priceRange', 'more than £30'], ['Fitzbillies', 'area', 'riverside'], ['Fitzbillies', 'familyFriendly', 'yes']] | 5 | NIv2 | task1410_dart_relationship_extraction | zs_opt | [
-0.6556235551834106,
0.09072937816381454,
0.0209928210824728,
-0.06221252679824829,
-0.1720864176750183,
0.47029197216033936,
1.0430026054382324,
-0.21229150891304016,
0.0918092131614685,
-0.6058037281036377,
-0.9022489190101624,
-0.10452967137098312,
-0.1692202240228653,
0.009417296387255... |
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 that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix... | 078467056
| 6 | NIv2 | task1443_string_to_number | fs_opt | [
-0.7213991284370422,
0.9141751527786255,
-0.5146159529685974,
-1.0253044366836548,
-0.312910258769989,
-0.2493976354598999,
0.7191941738128662,
0.4572092890739441,
-0.02730982005596161,
-0.35467010736465454,
-0.7209056615829468,
0.1981712430715561,
-1.1522302627563477,
-0.18351034820079803... |
Detailed Instructions: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
See one example below:
Problem: 1968 winter olympics
Solution: Which Frenchman won the Alpine triple-crown at the 1968 Winter Olympics?
Explanation: Both these questions ask a spe... | Name the character played by Bruce Willis in the 'Die Hard' films? | 4 | NIv2 | task897_freebase_qa_topic_question_generation | fs_opt | [
0.5548559427261353,
0.1201154813170433,
-0.8383735418319702,
-0.3657991290092468,
-0.018168827518820763,
-0.21295511722564697,
1.0980464220046997,
0.1115337535738945,
-0.20452585816383362,
-0.5049417018890381,
-1.0772273540496826,
0.023045161738991737,
-0.7168710827827454,
-0.0415523387491... |
Definition: Your task is to localize given English phrase into Hindi language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial ... | नक़ल प्रतीक में से वर्तमान चयन को नक़ल बनाएं. (युक्ति: आप वृत्ताकार तथा वर्गाकार दोनों ही तरीके से चयन कर सकते हैं) | 2 | NIv2 | task877_kde4_translation | zs_opt | [
-0.5760376453399658,
0.014684515073895454,
0.6778103113174438,
0.4630511999130249,
-0.029418349266052246,
-0.37433791160583496,
0.4007348418235779,
-0.3756248354911804,
0.012566762045025826,
-0.7394845485687256,
-0.8862616419792175,
0.06908111274242401,
-0.20357511937618256,
0.528190553188... |
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be ... | Output: Do multiple mutations in human immunodeficiency virus-1 integrase confer resistance to the clinical trial drug S-1360?
| 2 | NIv2 | task847_pubmedqa_question_generation | fs_opt | [
0.3507944941520691,
0.06601204723119736,
-0.5907076001167297,
0.026062773540616035,
0.5760482549667358,
0.1763480305671692,
0.2543727159500122,
0.9763574600219727,
-0.09746138751506805,
0.10880304872989655,
-1.1203871965408325,
0.25602543354034424,
-0.6919416189193726,
0.5408438444137573,
... |
Teacher: In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: C... | False | 2 | NIv2 | task346_hybridqa_classification | fs_opt | [
0.3592880368232727,
0.053583987057209015,
-0.44739964604377747,
0.775274932384491,
-0.19084465503692627,
-0.6574639678001404,
0.8269540071487427,
0.5548359155654907,
-0.1071443259716034,
-0.15823188424110413,
-0.8381630182266235,
0.4393797814846039,
-0.08963046967983246,
-0.210931003093719... |
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 | 4 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.34574776887893677,
0.47924166917800903,
0.35274529457092285,
-0.3808321952819824,
-0.5998444557189941,
-0.734388530254364,
1.1119065284729004,
0.41240474581718445,
-0.5345665216445923,
-0.7597500085830688,
-0.6481824517250061,
-0.27979007363319397,
-0.46460938453674316,
0.248683273792266... |
Instructions: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides add... | strengthener | 3 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
-0.1639096438884735,
0.39452075958251953,
-0.4510539472103119,
0.0801754966378212,
0.00045968638733029366,
-0.8468884229660034,
0.9568016529083252,
1.3877153396606445,
0.8902993202209473,
-0.18257737159729004,
-1.258713722229004,
-0.1373414695262909,
-0.6009082794189453,
0.2187250852584839... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Q: パイロットの皮膚感覚が遙か向こうの機体にまで拡張されているようなものです
A: | זה בעצם כאילו הוא מרחיב את עור-ידו הרחק עד לשם. | 9 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
-0.647599458694458,
-0.17983444035053253,
-0.4513411223888397,
-1.0129421949386597,
-0.1356905698776245,
-0.5070721507072449,
0.4923023581504822,
0.4928574562072754,
0.8288940787315369,
-0.05326296389102936,
-0.1500522494316101,
0.222847580909729,
-1.2608788013458252,
0.18479633331298828,
... |
Teacher:We would like you to classify each of the following sets of argument pairs (discussing Death Penalty) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FA... | Not similar | 6 | NIv2 | task145_afs_argument_similarity_death_penalty | zs_opt | [
-0.46884632110595703,
0.33692604303359985,
0.39269712567329407,
-0.04484754800796509,
0.033359456807374954,
-0.8013710975646973,
0.7347292900085449,
0.7423101663589478,
-0.14492136240005493,
0.516104519367218,
-0.27933597564697266,
0.03181972727179527,
-0.6027615070343018,
0.21207010746002... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" T... | Solution: true | 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-0.9601547718048096,
0.3896315097808838,
0.7547643780708313,
0.20002496242523193,
-0.5289930105209351,
-1.1449319124221802,
0.21676361560821533,
0.5837458372116089,
0.45222151279449463,
0.21885529160499573,
-0.3028021454811096,
-0.3510625958442688,
-0.9848690032958984,
-0.5750463604927063,... |
Q: In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Context_1 : Gerald Isaac Stiller (born June 8, 1927) is an American comedian and actor. He spent many year... | The Cable Guy | 7 | NIv2 | task170_hotpotqa_answer_generation | zs_opt | [
0.4199901223182678,
0.06414324790239334,
-0.8286733627319336,
-0.30812734365463257,
0.6901342868804932,
0.3672991991043091,
0.412986159324646,
0.8882924318313599,
-0.43121689558029175,
0.07583659142255783,
-0.45407548546791077,
0.4923790395259857,
-0.8533502817153931,
-0.15642765164375305,... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: a sum of money lent out at s . i . amounts to a total of $ 480 after 2 years and to $ 68... | c | 1 | NIv2 | task1420_mathqa_general | zs_opt | [
0.25487250089645386,
0.33880704641342163,
-0.6326980590820312,
0.14262881875038147,
0.2680700421333313,
0.43543922901153564,
0.4802423119544983,
0.4658418297767639,
-0.3053892254829407,
-0.3242766857147217,
0.001600602874532342,
0.47756505012512207,
-0.08694629371166229,
-0.346611261367797... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
One examp... | Non-identity-attack | 6 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.2654374837875366,
-0.10448484867811203,
0.4630724787712097,
0.1340366154909134,
0.3595331013202667,
-0.35322141647338867,
1.1084740161895752,
0.12741494178771973,
0.31952375173568726,
0.773076593875885,
0.36252138018608093,
-0.5531870126724243,
-0.6926339864730835,
-0.8339794874191284,
... |
Instructions: In this task if the pronoun is female or gender-neutral you are to replace it with a male pronoun. If there are no pronouns add a male-gendered word to the sentence.
Input: wow! i'm tom and that is good to know, Mr. Robinson.
Output: | wow! I'm Tom and that is good to know sir | 3 | NIv2 | task1669_md_gender_bias_text_modification | zs_opt | [
-0.24625131487846375,
0.926956295967102,
0.417136549949646,
-1.1937377452850342,
0.21996009349822998,
-0.9762767553329468,
0.2064170241355896,
0.5005131959915161,
1.2055158615112305,
-0.2896328568458557,
-0.8746292591094971,
0.1325606405735016,
-0.8067820072174072,
-0.6779025197029114,
0... |
Detailed Instructions: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
Problem:@anonymized_account Dobrze że zdajesz sobie sprawę że masz braki i trzeba się poduczyć :)
Solution: | 0 | 8 | NIv2 | task838_cdt_classification | zs_opt | [
-1.2157658338546753,
0.641929030418396,
0.8373991847038269,
0.6416232585906982,
-0.0875682383775711,
-0.5160067081451416,
0.649250328540802,
0.042040444910526276,
0.2480379045009613,
0.5366844534873962,
-0.24672602117061615,
-0.7473469972610474,
-0.15403184294700623,
-0.8293640613555908,
... |
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
--------
Question: [11.642, -39.595, 23.351, 168... | 44.358
| 7 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.34757909178733826,
0.19153234362602234,
-0.9139358401298523,
-1.130143165588379,
0.0007479791529476643,
0.14076323807239532,
0.6122478246688843,
0.176332026720047,
-0.4021361768245697,
-0.0823419988155365,
-1.3323928117752075,
0.3554413318634033,
-0.8933007717132568,
0.2039947807788849,... |
Detailed Instructions: In this task, you're given a context, 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 context and link info... | When did the pope who issued Regnans in Excelsis attain his position as pope? | 4 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
0.644066333770752,
0.5775599479675293,
-0.9632902145385742,
1.0150213241577148,
-0.3383804261684418,
-0.9979037046432495,
0.10230793058872223,
0.8131512403488159,
0.8022179007530212,
0.35248661041259766,
-0.7980052828788757,
0.4477199614048004,
-0.9429864883422852,
0.6716282963752747,
0.... |
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words ar... | ['Comedian', 'Steven', 'Wright--', 'and', 'I', 'guess', 'we', 'should', 'also', 'credit', 'him', 'maybe', 'with', 'being', 'a', 'bit', 'of', 'a', 'philosopher--', 'once', 'commented', 'that', '"Black', 'holes', 'are', 'where', 'God', 'divided', 'by', 'zero."', 'And', 'I', "won't", 'get', 'into', 'the', 'physics', 'of',... | 8 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | fs_opt | [
0.6175456047058105,
0.2239474058151245,
0.3167535960674286,
-0.5888809561729431,
0.4448174238204956,
-0.7277513146400452,
0.33885377645492554,
0.8540046811103821,
-0.22216439247131348,
-0.019781019538640976,
-0.3731631338596344,
0.10104979574680328,
-0.25616633892059326,
-0.090605616569519... |
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