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 |
|---|---|---|---|---|---|---|
Q: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
And it came to pass, when God caused me to wander from my father's house, that I said unto her, This is thy kindness which thou shalt shew unto me; at every place whither we shall come, say of me, He is m... | پس ابی ملک، گوسفندان و گاوان و غلامان وکنیزان گرفته، به ابراهیم بخشید، و زوجهاش ساره را به وی رد کرد. | 7 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
-0.2010892629623413,
1.796407699584961,
-0.38765648007392883,
0.16518430411815643,
-0.7361773252487183,
-0.2947080731391907,
-0.19227929413318634,
0.5706171989440918,
0.9187207221984863,
-0.010638407431542873,
-0.32175642251968384,
0.40960562229156494,
-0.7093563079833984,
-0.1856886148452... |
Detailed Instructions: In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
See one example below:
Problem: Bulgarian: Състав на Парламента: вж. протоколи... | yes | 4 | NIv2 | task273_europarl_classification | fs_opt | [
-0.4139944612979889,
0.2537998557090759,
0.37767913937568665,
0.4211955964565277,
0.012160610407590866,
-0.3297818899154663,
1.1202250719070435,
0.2527708411216736,
0.45600542426109314,
0.037464022636413574,
-0.2612606883049011,
0.9985194206237793,
-0.2375498116016388,
0.5302278995513916,
... |
instruction:
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).
question:
Context: Interstate 10 (I-10) is the southernmost cross-country interstate ... | american football
| 9 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.1531045138835907,
-0.02110474556684494,
-0.45711958408355713,
-0.07089158892631531,
0.2873249053955078,
0.42103180289268494,
1.0323922634124756,
0.9478297233581543,
-0.8730236887931824,
0.5648359656333923,
0.19726955890655518,
0.26774775981903076,
-0.13691622018814087,
-0.070000216364860... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
One example is below.
Q: Wszystko jest robione pomiędzy żebrami.
A: 全て肋骨の間から行うのです
Rationale: The Polish sentence is correctly translated into Japanese, because the meaning is preserved.
Q: Ale jak tanio mogłoby być? Zobaczmy... | しかしこれはどこまで安くできるのでしょう ？ 目標地点を出したいと思います | 9 | NIv2 | task1257_ted_translation_pl_ja | fs_opt | [
0.23288185894489288,
0.7433042526245117,
0.17985723912715912,
0.35319823026657104,
0.22429415583610535,
-0.054757505655288696,
1.4203239679336548,
-0.6592183113098145,
-0.6635969281196594,
-0.44423866271972656,
0.10360410809516907,
0.2989500164985657,
-1.0206997394561768,
0.840653181076049... |
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Ex Input:
Is AUTHOR wrong in the post ? POST : For context I’m a 22 year old female and I would co... | yes
| 1 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.7618166208267212,
-0.22828137874603271,
-0.2976483702659607,
-0.08951650559902191,
0.46781671047210693,
-0.5374118685722351,
0.7402896285057068,
0.9962138533592224,
0.1904628872871399,
0.1001499742269516,
-0.19255979359149933,
0.5663550496101379,
-0.69881272315979,
0.21440185606479645,
... |
Given a text, write a compressed version of it in a single sentence.
Example Input: A second, rare, application is where a highly generalized or universal assertion is being called into question, and we are able to test it through examining one instance.
Example Output: A second application is a broad universal assert... | Mirayes, who belongs to DAV Chapter 2 in San Diego, suffers from numerous medical problems.
| 3 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.6851810812950134,
0.7853020429611206,
-0.08229471743106842,
-0.4258699417114258,
0.2221037745475769,
-0.24210195243358612,
-0.056459780782461166,
0.5349878668785095,
0.28141871094703674,
0.20162995159626007,
-0.9903163909912109,
-0.10400573909282684,
-0.002834490267559886,
0.27176904678... |
Detailed Instructions: Given a scientific passage and an answer, generate a question for the given answer.
Problem:Passage: Metallic character refers to the level of reactivity of a metal. Metals tend to lose electrons in chemical reactions, as indicated by their low ionization energies. Within a compound, metal atoms ... | Do metals tend to gain electrons or lose electrons in chemical reactions? | 8 | NIv2 | task594_sciq_question_generation | zs_opt | [
0.03847832977771759,
0.8329207301139832,
-0.35117262601852417,
-0.609305739402771,
0.10013779997825623,
0.02278614416718483,
0.19181382656097412,
0.6399222612380981,
0.1826021522283554,
0.2320273071527481,
-0.1976393759250641,
0.03244011849164963,
-0.36124393343925476,
-0.12761063873767853... |
Detailed Instructions: A text is given in Marathi. Translate it from the Marathi language to the Oriya language. The translation must not omit or add information to the original sentence.
Q: आणि, मी तुम्हाला इथे सांगतो की तुमच्या भावनांचा भारत आदर करतो.
A: | ଆଉ, ମୁଁ ଆପଣମାନଙ୍କୁ ଏହା ଜଣାଉଛି ଯେ ଭାରତ ଆପଣଙ୍କ ଭାବନାର ଉଷ୍ଣତାକୁ ସଂପୂର୍ଣ୍ଣ ବଦଳାଇ ଦେଉଛି । | 9 | NIv2 | task1055_pib_translation_marathi_oriya | zs_opt | [
0.5811686515808105,
0.19316479563713074,
0.03345482796430588,
0.1462816596031189,
-0.30398258566856384,
-2.12257719039917,
0.9036329984664917,
0.0243739802390337,
-0.28772634267807007,
-0.32231223583221436,
-0.24205641448497772,
-0.47380489110946655,
-0.1857234239578247,
0.6663751602172852... |
Teacher: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? If you are still confused, see... | स्टेट एमरजेन्सी सर्विसेज (एसईएस) ने 800 से अधिक तूफान से होनेवाली तबाही में सहायता की पुकार पर कार्यवाही की, तथापि तूफान की रफ्तार में कुछ कमी आई तथा बेगा तथा मोर्या के इलाकों में बाढ़ की चेतावनी को वापस ले लिया गया। | 2 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
-0.05710247904062271,
0.7569169998168945,
-0.24169552326202393,
0.14499524235725403,
-0.08421659469604492,
-0.9251071214675903,
-0.045945100486278534,
1.0407061576843262,
-0.2617082893848419,
-0.22115066647529602,
-0.2532455325126648,
0.3340027332305908,
0.16365709900856018,
0.004660355392... |
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Lymphocyte infiltration (LI) is often seen in breast cancer but its importance remains controversial.... | 0 | 0 | NIv2 | task848_pubmedqa_classification | zs_opt | [
-0.7484866380691528,
0.17809107899665833,
-0.8124524354934692,
0.2516920268535614,
0.3604092597961426,
-0.18002915382385254,
0.27635157108306885,
0.4961172938346863,
0.24771255254745483,
0.34804147481918335,
-0.9191442728042603,
0.17974181473255157,
-0.9347935914993286,
0.40357089042663574... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Q: iggjyEcSCPinqLJDcVuqu, clgjyEcSCPinqLJcvusFokXYq
A: c, e, f, g, i, j, k, l, n, o, p, q, s, u, v, x, y
****
Q: YhHLXXacFInRUI... | a, b, f, k, l, m, p, q, s, v, z
****
| 4 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.4487057626247406,
1.1044875383377075,
0.06529305875301361,
-0.1592595875263214,
0.1548251211643219,
0.13002929091453552,
0.6244807243347168,
-0.06188514828681946,
-0.27116870880126953,
-0.048869699239730835,
-0.9494744539260864,
-0.09700314700603485,
-0.24010953307151794,
-0.13865064084... |
Part 1. Definition
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An iden... | yes | 7 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.09026043117046356,
0.38738712668418884,
-0.006004327908158302,
0.44382065534591675,
-0.21228936314582825,
-0.38349324464797974,
0.7888908386230469,
1.0044177770614624,
0.4127521514892578,
0.33704203367233276,
0.10099931061267853,
0.2077486366033554,
-0.18612290918827057,
-0.621223807334... |
Detailed Instructions: 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.
Problem:Sentence1: Allie went to her room. Sentence2: She saw the candy cane tree. Sentence3: Her mom had made it. Sentence4: It looked amazing.... | Allie, Mom | 8 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
0.3666113615036011,
0.4807342290878296,
-0.2569476068019867,
-0.3963068723678589,
-0.41295015811920166,
-0.7532501220703125,
0.5418667197227478,
0.31519219279289246,
-0.089119553565979,
0.08441917598247528,
-0.317455530166626,
-0.9636790752410889,
-0.6440184712409973,
0.5404282212257385,
... |
A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: Consider Input: जागतिक क्षयरोग प्रतिबंध दिनानिमित्त आरोग्य मंत्रालयाकडून कार्यक्रमाचे आयोजन
Output: પ્રધાનમંત્રીએ મહારાષ્ટ્રમાં બસ દુર્ઘટનાને ... | Output: આપણે કોઇપણ દેશના હોઈએ, કોઇપણ પંથને માનનારા હોઈએ, પરંતુ દરરોજ સમસ્યાઓ તો ઘેરતી રહેતી હોય છે.
| 2 | NIv2 | task984_pib_translation_marathi_gujarati | fs_opt | [
0.14188912510871887,
0.604519784450531,
0.009374281391501427,
-0.31476569175720215,
-0.1104612797498703,
-0.9631633758544922,
0.14940418303012848,
0.1500333696603775,
-0.11339782178401947,
0.32349979877471924,
-0.6550254225730896,
-0.27604639530181885,
0.055359117686748505,
-0.087881967425... |
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
A 99-year-old war veteran who has raised more than £1m for charity is being treated in ... | Part of rail bridge collapses near fatal Stonehaven derailment site
| 0 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.14989158511161804,
1.0459647178649902,
0.10211671888828278,
-0.9699366688728333,
0.28573113679885864,
-1.1452405452728271,
0.474791556596756,
-0.05201146379113197,
0.07735895365476608,
0.4643286466598511,
-0.20867271721363068,
1.221974492073059,
-0.33871644735336304,
0.16209077835083008... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Example Input: Alternate ending of how i met your mother?
Example Output: Where can you find... | Who sang and recorded this guys in love with you, released in April 1968?
| 3 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.17290973663330078,
0.33693742752075195,
0.24766461551189423,
0.33526232838630676,
-0.6014102697372437,
-0.257297158241272,
0.32026997208595276,
0.18844369053840637,
0.22319449484348297,
-0.12660956382751465,
-0.44340527057647705,
-0.07699449360370636,
-0.48260149359703064,
0.02768621966... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Posit... | Jock Gourlay | 1 | NIv2 | task331_gap_incorrect_answer_generation | fs_opt | [
-0.10951938480138779,
0.8201007843017578,
0.13869088888168335,
0.1910664141178131,
0.184135302901268,
0.030553802847862244,
0.4825677275657654,
1.161962866783142,
0.08000311255455017,
-0.22381746768951416,
-0.5758919715881348,
0.3713993430137634,
-0.34567201137542725,
-0.23713359236717224,... |
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.
Example input: Context: Our prayers are wi... | yes | 3 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.5561837553977966,
0.4826345443725586,
0.3270544409751892,
0.2239682525396347,
0.4404624104499817,
-0.3530334532260895,
0.6000361442565918,
0.7040326595306396,
0.3946036994457245,
0.2872936725616455,
-0.13075661659240723,
-0.07878373563289642,
-0.08961179107427597,
-0.6311761140823364,
... |
Given the task definition and input, reply with output. Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Relationship: 'be head of', Argument/Subject 1: 'president', Argument/Subject 2: 'executive'
| The service has been dubbed Derivatives Collateral Net and automatically aggregates and nets the overall collateral obligations of its participants , explains Art Certosimo , executive vice president and head of Broker-Dealer Services at the bank . | 5 | NIv2 | task677_ollie_sentence_answer_generation | zs_opt | [
-0.731537938117981,
0.6907421350479126,
0.4674750566482544,
-0.2567460238933563,
-0.46737754344940186,
-0.35663360357284546,
0.4346552789211273,
0.288560152053833,
0.4607926607131958,
-0.45967352390289307,
-0.25428104400634766,
-0.4394688904285431,
-0.07475816458463669,
0.1632513850927353,... |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t... | MvIEWEbegijmnnnqsstvvwgrGpKH, zoxkyBOVFruZgpvbegijmnnnqsstvvwZoKOfKVcZeVIU | 0 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.19919370114803314,
0.3804627060890198,
0.07950161397457123,
0.10619446635246277,
0.25592702627182007,
0.2445395588874817,
0.8527782559394836,
-0.2072615921497345,
-0.05269114673137665,
0.19523532688617706,
-1.1047511100769043,
-0.9278427362442017,
0.14137157797813416,
-0.2894424796104431... |
Teacher:In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Teacher: Now, understand the problem? Solve this instance: ACTION1: wanting my ex to... | no | 6 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
0.05802581086754799,
-0.1045771986246109,
-0.0121694914996624,
0.15857073664665222,
-0.3740096092224121,
-0.7022120952606201,
0.03514637053012848,
0.3663855791091919,
-0.22104468941688538,
0.346801221370697,
0.17982536554336548,
-0.5789986848831177,
-0.6849743127822876,
-0.7618385553359985... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Q: Comment: Not a joke you bitch
A: | Insult | 4 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-0.7292740345001221,
1.0611742734909058,
0.6649602651596069,
0.20640970766544342,
-0.014862431213259697,
-0.04134295880794525,
0.7272052764892578,
0.3886847496032715,
0.7507908344268799,
0.4518212676048279,
0.09824440628290176,
0.5071961879730225,
-0.4281909763813019,
-0.5324171781539917,
... |
Definition: You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Input: Event:PersonX takes a turn for the worse. Intent: 1) to get rid of the object
Output: | Unknown | 2 | NIv2 | task923_event2mind_classifier | zs_opt | [
-0.5776852369308472,
0.07728099822998047,
-0.16053110361099243,
-0.3309384286403656,
-0.34596946835517883,
-0.8484339714050293,
0.9032576084136963,
0.3013092577457428,
0.2874003052711487,
0.07471656054258347,
-0.1424800455570221,
-0.060225024819374084,
-0.38700324296951294,
-0.104926854372... |
This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Ebenso wird in vielen Teilen der Welt tropischer R... | Las empresas acostumbran a sobornar a funcionarios para obtener concesiones petroleras, mentir sobre la producción, evadir impuestos y eludir la responsabilidad por los daños medioambientales que causan.
| 0 | NIv2 | task1373_newscomm_translation | fs_opt | [
-0.7071612477302551,
1.0108366012573242,
0.20600488781929016,
-0.08934783935546875,
-0.7239929437637329,
-0.3319557309150696,
0.5005743503570557,
1.0639522075653076,
0.31886398792266846,
0.07814494520425797,
-0.20761385560035706,
-0.036781035363674164,
-0.8452047109603882,
0.07065893709659... |
Teacher:In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Teacher: Now, understand the problem? Solve this instance: [75, 58, ... | [58, -38, 34, 5, 74] | 6 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
0.20752713084220886,
-0.05392543599009514,
-0.4891524910926819,
-0.7808080911636353,
0.160103440284729,
0.2465703785419464,
0.8988003730773926,
0.4301838278770447,
-0.04959607869386673,
0.2079964429140091,
-0.6119978427886963,
-0.5695217251777649,
-0.08893653750419617,
-0.28504836559295654... |
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Q: Context : The Ambushers is a novel by Donald Hamilton first published in 1963, continuing the exploits of assassin Matt Helm.
Answer : Matt ... | What is the instrument that Antoine Aureche plays?
****
| 4 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
0.41922396421432495,
0.515274167060852,
-0.08547412604093552,
-0.3725687563419342,
0.5403642654418945,
-1.133634328842163,
0.7381869554519653,
0.382378488779068,
0.5425865650177002,
0.250664621591568,
-0.4235779643058777,
0.901416003704071,
-1.693636417388916,
-0.6404719352722168,
0.4854... |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Q: Text: Voor zaken met betrekking tot het technische gedeelte, dit thema is responsief, biedt drie verschillende types van sliders, aangepaste toekomstige cursussen of naar... | Dutch | 4 | NIv2 | task447_opus_paracrawl_classification | zs_opt | [
-0.1769639253616333,
-0.04377114400267601,
0.7769153118133545,
-0.5852384567260742,
0.2523350417613983,
-0.5177440047264099,
-0.28063952922821045,
0.03138960152864456,
-0.045044876635074615,
0.3012866973876953,
0.43128931522369385,
0.35301581025123596,
-0.3559919595718384,
0.03661245107650... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Q: این باید توسط دیگران انجام میشد.
A: | Isso teve que ser feito por outros. | 4 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.40493088960647583,
1.5274183750152588,
-0.24714919924736023,
-0.4171772003173828,
-0.5076667666435242,
0.4852748513221741,
0.056456927210092545,
0.7655932307243347,
0.9922735095024109,
-0.27719417214393616,
-0.9198150634765625,
0.3143422603607178,
-0.14600977301597595,
0.751152694225311... |
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 for a command.... | I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_LEFT I_TURN_LEFT I_JUMP I_TURN_LEFT I_TURN_LEFT I_JUMP I_TURN_LEFT I_TURN_LEFT I_JUMP | 8 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.19255706667900085,
0.7144213914871216,
-0.32356464862823486,
-0.18799230456352234,
0.1707242727279663,
-0.12861627340316772,
0.3454434871673584,
0.1378535032272339,
-0.24581807851791382,
-0.29687196016311646,
-0.8507990837097168,
-0.2194676697254181,
-0.8667709231376648,
-0.1879893839359... |
Part 1. Definition
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with resp... | The weather varies a lot from day to day; cold one day, warm the next. | 7 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.4328610301017761,
-0.05987599864602089,
0.00024014862719923258,
0.13485917448997498,
0.2844310998916626,
-1.208254337310791,
-0.3926999270915985,
0.2517836093902588,
0.1474088579416275,
-0.39189618825912476,
-0.08169948309659958,
-0.3624582290649414,
-0.24773181974887848,
-0.22678181529... |
Given the task definition and input, reply with output. Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) i... | blue_pantry | 5 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
0.1848759651184082,
-0.02426835149526596,
-0.28786084055900574,
-0.06650598347187042,
-0.351651668548584,
-0.2785625457763672,
0.48601093888282776,
0.836084246635437,
0.49614375829696655,
-0.2365451455116272,
-0.8916999101638794,
0.524732768535614,
0.045987874269485474,
-0.0975128486752510... |
Detailed Instructions: Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': ... | CONJ | 8 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.1825408637523651,
0.34356623888015747,
-0.1976088285446167,
0.019830811768770218,
-0.12352176010608673,
-0.2638065814971924,
0.6483513116836548,
0.8274413347244263,
-0.5171531438827515,
0.12430363893508911,
-0.5468369722366333,
0.15848296880722046,
-0.5896176099777222,
0.2285198420286178... |
You will be given a definition of a task first, then some input of the task.
A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
ਜੀਐੱਸਐੱਲਵੀ ਮਾਰਕ- III ਕੰਟੀਨਿਊਏਸ਼ਨ ਪ੍ਰੋਗਰਾਮ ਫੇਜ਼-1, ਜੀਐੱਸਐੱਲਵੀ ਮਾਰਕ- III ਲਾਂਚ ਵ... | மார்க் III செலுத்து வாகன செயல்பாட்டின் முதல் கட்டமாக இருப்பதுடன் இதற்கு அளிக்கப்படும் ஒப்புதல் 2019 முதல் 2024 வரை செலுத்தப்படும் செயற்கைக் கோள் இயக்கங்களுக்கான தேவைகளை பூர்த்தி செய்யும். | 1 | NIv2 | task1015_pib_translation_punjabi_tamil | zs_opt | [
-0.5234889388084412,
0.3193199634552002,
0.4083171486854553,
-0.32310330867767334,
0.17168577015399933,
-0.46884584426879883,
0.7658562660217285,
0.5504571795463562,
-0.7479679584503174,
0.8419407606124878,
-0.35645753145217896,
-0.4919928014278412,
-0.25491929054260254,
0.1887679845094680... |
Q: 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 det... | No | 7 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.26850786805152893,
0.41823846101760864,
0.4731023907661438,
-0.3616510033607483,
-0.5208866000175476,
-0.849527895450592,
1.1214642524719238,
0.19506345689296722,
-0.40683943033218384,
-0.3048013746738434,
-0.16592995822429657,
-0.3904055058956146,
-0.8512388467788696,
0.4827455282211303... |
Instructions: In this task, you need to count the number of times the given letter appears in the given sentence.
Input: Sentence: 'the large pizza has potato slices and parmesan cheese on it'. Find frequency of the letter 's'
Output: | 5 | 3 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.5302801132202148,
0.7277714014053345,
-0.6918255090713501,
0.3814719617366791,
-0.5928789377212524,
0.17764213681221008,
0.524785041809082,
0.6768432259559631,
0.0427187979221344,
0.2248462438583374,
-0.029615230858325958,
0.4887026250362396,
-0.015099464915692806,
0.12573951482772827,
... |
Definition: Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Input: Question1: Does meditation helps to create resilience?, Question2: We started a marketplace medicine online. We plan to make an app mobile for that. How much does ... | No | 2 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
-0.46840113401412964,
0.304898202419281,
-0.19584906101226807,
-0.22633984684944153,
-0.5477590560913086,
-0.4388328194618225,
0.7185627818107605,
0.5313226580619812,
0.2744544744491577,
-0.10484801977872849,
-0.7053385972976685,
0.17069555819034576,
-0.6157283186912537,
0.2122057229280471... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
"نان! خدایا ، دعاي مرا مستجاب کردی. سؤالم را جواب داده ای."
"É pão! Deus, respondeste ao meu apelo. Respondeste ao meu problema."
و همچنین از سه لیزر به عنوان تشخیص دهنده های محدوده ی مسیر استفاده کردیم.
E usamos três tel... | Estamos a utilizar esta coleção de factos para quê?
| 0 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.8648412823677063,
0.5551320910453796,
-0.7216805815696716,
-0.46889206767082214,
-1.3191989660263062,
0.11755602061748505,
0.35700929164886475,
0.40999776124954224,
0.09291946142911911,
-0.3935936391353607,
-1.0021288394927979,
0.5257669687271118,
-0.3948008120059967,
0.0787311196327209... |
Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thou... | yes | 9 | NIv2 | task361_spolin_yesand_prompt_response_classification | fs_opt | [
0.2890302240848541,
0.5488489866256714,
0.5172653198242188,
0.38529086112976074,
0.18979190289974213,
-1.0352771282196045,
0.17218801379203796,
0.5505561828613281,
0.36105871200561523,
-0.37025541067123413,
-0.549952507019043,
-0.25217121839523315,
-0.4563499391078949,
0.04542423039674759,... |
Given the task definition and input, reply with output. 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 n... | Wrong | 5 | NIv2 | task133_winowhy_reason_plausibility_detection | zs_opt | [
-0.1852717101573944,
0.3016320466995239,
0.167204350233078,
0.2577875256538391,
-0.1069580540060997,
-0.6398634910583496,
0.11275854706764221,
0.03178522735834122,
0.4683971405029297,
-0.8137972354888916,
-0.6033804416656494,
0.2643589377403259,
-0.9655574560165405,
-0.14729070663452148,
... |
Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Input: Lo primero que uno hace como científico es asegurarse de que la cosa funciona.
Output: | Pierwszą rzeczą, jaką naukowiec robi jest upewnienie się, że wszystko działa. | 3 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.48919758200645447,
0.9285688400268555,
-0.6189463138580322,
-0.5326844453811646,
-0.1955796182155609,
-0.39074936509132385,
-0.06743123382329941,
-0.5385595560073853,
-0.21708787977695465,
-0.27564477920532227,
-0.34757402539253235,
-0.1939721703529358,
-0.48452937602996826,
-0.22463072... |
Instructions: In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
Input: Question: They synthesize a single polyprotein precursor of all the proteins necessary for the rest of the multiplication cyc... | 2 | 3 | NIv2 | task1431_head_qa_answer_generation | zs_opt | [
0.09628966450691223,
0.121821328997612,
-0.3904576003551483,
0.3774929642677307,
0.03966347128152847,
-0.07357338070869446,
0.3933808207511902,
0.8510680794715881,
-0.5177388787269592,
-0.34544962644577026,
-0.43054500222206116,
0.26601430773735046,
0.15495607256889343,
-0.4506937265396118... |
Detailed Instructions: In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Q: Context: THEY DID IT AGAIN. I CANT AT THIS FANBASE #GagaCarpool LukeyGaga | Joanne (@lukeygaga) October 26, 2016 Question: ... | 8:42 pm - oct 25, 2016 | 9 | NIv2 | task239_tweetqa_answer_generation | zs_opt | [
-0.036672547459602356,
1.098336935043335,
-0.03237461298704147,
-0.4197480082511902,
-0.01711985468864441,
-1.4057831764221191,
-0.21198907494544983,
0.31238773465156555,
-0.4299635887145996,
0.3576563000679016,
0.2207878977060318,
-0.3941744565963745,
-0.11266195774078369,
-0.043700180947... |
You are given a statement written in Hindi. 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: वह सुलतान मुहम्मद ख्वारिज़्म शाह का ज्येष्ठ पुत्र और वंश का अंतिम शासक था। मुहम्मद की मृत्यु के पश्चात् ... | अफगानिस्तान | 0 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
1.126927137374878,
1.2266583442687988,
0.23533563315868378,
-0.3879019021987915,
-0.7327287197113037,
0.1544211208820343,
-0.11400182545185089,
0.5179181694984436,
-0.13342128694057465,
0.03206697851419449,
-0.7373065948486328,
0.25030630826950073,
-0.505091667175293,
-0.26727816462516785,... |
Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., sug... | yes
| 5 | NIv2 | task115_help_advice_classification | fs_opt | [
0.10888656973838806,
0.6278875470161438,
0.4277167320251465,
0.15501302480697632,
0.4635620713233948,
-1.5721628665924072,
0.7687555551528931,
0.2573431730270386,
0.11034710705280304,
0.22853294014930725,
-0.5488794445991516,
-0.6934216022491455,
-0.8719396591186523,
-0.09183032065629959,
... |
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... | run around left thrice after jump opposite left thrice | 7 | NIv2 | task131_scan_long_text_generation_action_command_long | zs_opt | [
0.45343849062919617,
0.9653606414794922,
-0.43524882197380066,
0.09795184433460236,
-0.11415340006351471,
0.1185566857457161,
-0.09602772444486618,
0.8533486127853394,
-0.3839397430419922,
-0.06966064870357513,
-0.8996235132217407,
-0.2366940975189209,
-0.7806075215339661,
-0.1074636578559... |
Detailed Instructions: You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
See one example below:
Problem: Eve... | relieved | 4 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.4217797815799713,
0.09390857815742493,
0.21467182040214539,
-0.6451078057289124,
-0.5582042932510376,
-0.8881813287734985,
1.4562220573425293,
0.588948130607605,
0.09599552303552628,
-0.29991328716278076,
0.5166538953781128,
0.15894100069999695,
-0.6483221054077148,
0.11366502940654755,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to Translate Czech text to English.
Example: Řešení se týká herbicidů a regulátorů růstu rostlin, obzvláště herbicidů pro selektivní potírání plevelů v kulturách užitkových rostlin. Konkrétně se týká nových acylovaných a... | The device is designed for horizontal and subsequent vertical transport of threshed seeds into the tray. Worm the conveyor is housed in a trough cover switching over to the ladle space of the paddle drum. He is fastened on a hollow shaft, biaxially rotatable the screw conveyor shaft. Over the shoulder blade a v... | 1 | NIv2 | task842_para_pdt_cs_en_translation | fs_opt | [
-0.3311120271682739,
0.0782933309674263,
0.1779705435037613,
0.49592381715774536,
-0.05107158422470093,
-0.22151502966880798,
-0.03503940999507904,
1.1678719520568848,
0.12898914515972137,
0.03743487596511841,
-1.1410017013549805,
0.7101703882217407,
-0.31863194704055786,
-0.07804217189550... |
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Let me give you an example: Which writer rode Devon Loch in the 1956 Grand National?
The answer to this example can be: dick francis
Here is why: The answer is precise... | calzone | 8 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
0.050953030586242676,
0.15380987524986267,
-0.1671857237815857,
-0.09108035266399384,
-0.6784312129020691,
-0.4335237443447113,
1.165514588356018,
-0.4449501633644104,
0.41762223839759827,
-0.9768710136413574,
-0.9746390581130981,
0.8374807834625244,
-0.4254761338233948,
0.3633974194526672... |
Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Ex Input:
Tentara menembak, melewati pengemudi berusia 17 tahun dan membunuh anak laki-laki tersebut.
Ex Output:
兵士は銃弾を発射し、それは... | この後、イライラが積もったムセベニはBBCで「カナダ首相が私に会いに来て、そして、彼は何について話していたか？ゲイだ」と話した。
| 1 | NIv2 | task1116_alt_id_ja_translation | fs_opt | [
-0.1736747920513153,
0.04687822237610817,
-0.7085529565811157,
-0.6392732858657837,
-0.05040116608142853,
-0.915107011795044,
0.9165120124816895,
-0.09056132286787033,
0.06496129930019379,
0.09950711578130722,
-0.8723273277282715,
0.6543326377868652,
-0.9418784976005554,
0.2694739103317261... |
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
| 6 | NIv2 | task1212_atomic_classification_hasproperty | fs_opt | [
0.3938877284526825,
-0.13999736309051514,
0.5250271558761597,
0.11760198324918747,
-0.5448032021522522,
-1.0113143920898438,
0.8155437111854553,
0.9461696147918701,
-0.4585956633090973,
-0.2219420224428177,
-0.7563966512680054,
-0.5032103657722473,
-0.5420312285423279,
0.31096479296684265,... |
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... | ['f', 'of', 'x', 'is', 'equal', 'to', '9', 'minus', 'X', 'actually', 'should', 'be', '9', 'minus', 'x', 'squared.', 'And', 'g', 'of', 'x', 'is', 'equal', 'to', '5x', 'squared', 'plus', '2x', 'plus', '1.', 'And', 'then', 'they', 'say', 'find', 'f', 'plus', 'g', 'of', 'x.', 'And', 'this', 'looks', 'a', 'little', 'bit', '... | 0 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | fs_opt | [
0.7088467478752136,
0.06074117124080658,
-0.2715369164943695,
-0.04605087265372276,
0.5671858787536621,
-0.6970856189727783,
0.5134272575378418,
0.9277090430259705,
-0.34830278158187866,
0.11184084415435791,
-0.09366150200366974,
-0.06959129869937897,
-0.3237028121948242,
-0.17411959171295... |
Detailed Instructions: 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/exi... | My husband and I decided to stay home. | 4 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.5427887439727783,
0.09913168847560883,
-0.3166356384754181,
0.3796834945678711,
0.047700170427560806,
-0.2707962393760681,
0.5292584300041199,
0.7607580423355103,
-0.5270546674728394,
-0.3452568054199219,
-0.4704771339893341,
0.22092588245868683,
-0.44761982560157776,
-0.3405904769897461... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
זוהי דוגמא לשאלות שמתחילות לעניין פילוסופים, אנשי שלטון, כלכלנים, מדענים.
A: | اینا سوالایی هستند که دارند بتدریج برای فیلسوف ها ، دولتمردان ، اقتصاد دانان و دانشمندان جالب میشوند اینا سوالایی هستند که دارند بتدریج برای فیلسوف ها ، دولتمردان ، اقتصاد دانان و دانشمندان جالب میشوند اینا سوالایی هستند که دارند بتدریج برای فیلسوف ها ، دولتمردان ، اقتصاد دانان و دانشمندان جالب میشوند اینا سوالایی هستن... | 7 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.5320994853973389,
0.3666142523288727,
0.5270825028419495,
-0.1329847276210785,
-0.7091432809829712,
0.01657409593462944,
1.207269310951233,
-0.4603527784347534,
1.0304534435272217,
-0.681422770023346,
-0.840330958366394,
0.4516497552394867,
-0.4763299226760864,
0.31066012382507324,
0.... |
In this task, you need to replace a letter in the sentence with another given letter.
Q: Sentence: 'some peopel riding a locomotive go very far'. Replace the letter 'e' with 'p' in the sentence.
A: | somp ppoppl riding a locomotivp go vpry far | 4 | NIv2 | task160_replace_letter_in_a_sentence | zs_opt | [
-0.28501760959625244,
0.6046470403671265,
-0.02036282792687416,
-0.5335089564323425,
-0.5563740730285645,
-0.9844670295715332,
0.11867623031139374,
0.5391323566436768,
0.297605037689209,
-0.9800711870193481,
-0.42342114448547363,
0.05568011850118637,
-0.08010809123516083,
-0.73162007331848... |
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:Alan found himself in a serious situation.
Solution: | male | 8 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.275301069021225,
0.6815453767776489,
-0.4041674733161926,
-1.0890190601348877,
-0.5512889623641968,
0.23869375884532928,
0.8232938647270203,
0.409339964389801,
0.7098677158355713,
0.06507854163646698,
-0.9336146116256714,
-0.3177764117717743,
-0.9070156812667847,
-0.058285683393478394,
... |
In this task, you need to count the number of nouns/verbs in the given sentence.
Sentence: 'A close up view of a zebra is shown in the grass'. Count the number of nouns in this sentence. | 3 | 0 | NIv2 | task155_count_nouns_verbs | zs_opt | [
0.4849432110786438,
1.0210808515548706,
-0.6741769313812256,
-0.47519317269325256,
-1.2486324310302734,
0.1064155101776123,
0.37769171595573425,
0.06809823215007782,
-0.17099744081497192,
-0.5981581211090088,
-0.9711767435073853,
-0.4403221011161804,
-0.13238359987735748,
0.501717329025268... |
Detailed Instructions: In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French... | name[Fitzbillies], priceRange[£20-25], customer rating[3 out of 5], familyFriendly[yes], near[Express by Holiday Inn] | 8 | NIv2 | task958_e2e_nlg_text_generation_parse | zs_opt | [
-0.5904344320297241,
0.1800813376903534,
-0.12034904956817627,
-0.1596313714981079,
-0.026245413348078728,
-0.4909706711769104,
1.2075176239013672,
0.2717878520488739,
-0.2323216199874878,
-0.018933530896902084,
0.5859040021896362,
-0.7622052431106567,
-0.5420604944229126,
-0.5057822465896... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
I'd say, "" Well, you know a child who has cavities is not going to, uh, be able to study as well. "" And I had to because I had to raise the money.
A: | Y decía: "" Bueno, saben, un niño que tiene una muela picada no va a ser capaz de estudiar "". Y tenía que hacerlo porque había que reunir el dinero. | 7 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
-0.619132399559021,
0.7673539519309998,
0.2567380368709564,
-0.8611071705818176,
-0.7157082557678223,
-0.37716150283813477,
-0.5285749435424805,
1.1168701648712158,
0.25777876377105713,
-0.6793310642242432,
0.7467461824417114,
0.2347729504108429,
-0.4465499520301819,
0.044167160987854004,
... |
Detailed Instructions: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and... | 5, He closed his eyes and picked one. | 8 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.6092696785926819,
0.7778967618942261,
-0.1821281611919403,
-0.8347992300987244,
0.22608314454555511,
0.19633546471595764,
1.214282751083374,
-0.017087837681174278,
0.5714205503463745,
-0.2747041583061218,
-0.44207778573036194,
-0.6274405717849731,
-0.6894667148590088,
0.0595426931977272... |
Detailed Instructions: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
See one example below:
Problem: Article: australia 's current account deficit shrunk by a record #.## billio... | yes | 4 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.21739929914474487,
0.27185818552970886,
0.019779205322265625,
0.06038897484540939,
-0.517554521560669,
-0.1570386290550232,
-0.09320566058158875,
0.9062801599502563,
0.0679360032081604,
0.21011054515838623,
-0.311518132686615,
-0.0003324997378513217,
-0.6583486795425415,
0.2686998248100... |
A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
One example: मित्रांनो, माझी ही सूचना तुम्हाला निश्चितच चांगली वाटली असणार
Solution is here: دوست، میرا نوٹس آپ نے یقینی طور پر اچھا محسوس کیا ہے
Explanatio... | جناب پرکا ش جاؤڈیکر نے گاندھی 150ویں سالگرہ منانے کے تعلق سے وزارت اطلاعات و نشریات کے ذریعہ کی جارہی کوششوں سے صدر جمہوریہ کو آگاہ کیا | 6 | NIv2 | task989_pib_translation_marathi_urdu | fs_opt | [
0.4674453139305115,
0.3462355136871338,
-0.4800654351711273,
0.24323146045207977,
0.19829529523849487,
-0.9278494119644165,
0.5745912194252014,
-0.025918535888195038,
-0.21107511222362518,
0.1936521977186203,
-0.27428215742111206,
-0.4873981475830078,
-0.0510014146566391,
-0.10804328322410... |
In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, 16, 32, 64, ... | [64, 1024, 4096, 2048, 16] | 0 | NIv2 | task1444_round_power_of_two | zs_opt | [
-0.681148111820221,
1.4137850999832153,
-0.06450967490673065,
-0.03656378388404846,
-0.40170249342918396,
0.3275259733200073,
0.7495980858802795,
-0.02671012282371521,
-0.07626444846391678,
0.24349792301654816,
-0.675876259803772,
0.6180949211120605,
-0.3360821604728699,
-0.226439565420150... |
Given the task definition, example input & output, solve the new input case.
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 ... | [46.5, 18.5, -18.0, 18.0, 32.0, -46.0, -48.5, 12.5, -16.5, -76.5, -65.5, -16.0] | 1 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.30775517225265503,
0.7567511796951294,
-0.6870262622833252,
-0.008826486766338348,
0.4033527672290802,
0.6923593282699585,
0.657069206237793,
1.0009686946868896,
0.3410295844078064,
-0.37819764018058777,
-0.25979235768318176,
-0.1798233538866043,
0.1776803582906723,
0.2503317594528198,
... |
TASK DEFINITION: Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
PROBLEM: English sentence: 25 Amen, amen I say unto you, that the hour cometh, and now is, when the dead shall hear the voice of the Son of God, and they that hear shall l... | 020-072 waxay dhaheen ka dooran meyno waxa noo yimid oo xujo ah iyo Eebaha na abuurayee xukmi waxaad xukumiwaxaad uun xukumi nolosha adduunyo.
| 8 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
0.321212500333786,
0.5819231867790222,
-0.21505728363990784,
0.03408556431531906,
-0.373549222946167,
-1.7685463428497314,
0.5011243224143982,
0.7573767900466919,
-0.1441057175397873,
-0.01210668496787548,
0.046062812209129333,
1.1837801933288574,
-1.0939663648605347,
-0.2703133523464203,
... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question ... | #1 return objects
#2 return heights of #1
#3 return #1 where #2 is medium
#4 return color of #3 | 9 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.8339699506759644,
-0.32144567370414734,
-0.5132814049720764,
0.5548524260520935,
0.03107619658112526,
-0.08037708699703217,
0.9378142952919006,
0.5025888681411743,
-0.47988253831863403,
0.4917604625225067,
-0.6436923146247864,
0.1696750372648239,
0.048095449805259705,
0.36637553572654724... |
Given the task definition and input, reply with output. 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 introd... | a woman sits in a hot tub | 5 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.6876928210258484,
1.1022253036499023,
-0.04088935628533363,
0.21663758158683777,
-0.3841633200645447,
0.03667743504047394,
-0.18367141485214233,
0.517473578453064,
0.5878357887268066,
-0.5149675607681274,
-1.2219157218933105,
0.07492668926715851,
-0.17979253828525543,
0.1285387575626373... |
Instructions: You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragrap... | What is the role of music in evolution? | 3 | NIv2 | task1594_yahoo_answers_topics_question_generation | zs_opt | [
0.6350624561309814,
1.047109842300415,
-0.5081070065498352,
0.32785189151763916,
-0.06607487797737122,
-0.19084413349628448,
0.7715374231338501,
-0.058160651475191116,
-0.43504220247268677,
-0.21204088628292084,
-0.7424097657203674,
-0.2596625089645386,
-1.0480809211730957,
0.2978555858135... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a passage and a question in Persian. You need to write an answer in Persian for the question. Try to keep your answers as short as possible.
روسیه (به روسی: Россия، واجنویسی: راسیا) با نام رسمی فدراسیون روسیه ... | آسیای شمالی و اروپای خاوری | 1 | NIv2 | task467_parsinlu_rc_answer_generation | zs_opt | [
0.525215744972229,
0.30951157212257385,
0.05328609049320221,
0.3680885434150696,
-0.5622173547744751,
0.23639392852783203,
0.2540343999862671,
0.3466688394546509,
0.5178446173667908,
0.17464473843574524,
-0.7789360284805298,
0.6686715483665466,
-0.6784377098083496,
0.14095157384872437,
1... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
Example: [3,... | Solution: [37, 111] | 5 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.2884284257888794,
0.12737715244293213,
-0.4909493327140808,
-0.5166147947311401,
0.4327528476715088,
-0.04978208243846893,
1.0606675148010254,
0.24136188626289368,
-0.6227344274520874,
0.18901556730270386,
-0.8559910655021667,
0.18047437071800232,
-0.2952950596809387,
-0.810260891914367... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language.
Example: It is NOT a function of the intermediate filaments
Output: NO es una función de los filamentos in... | Pregunta vinculada a la imagen nº2 Hombre de 40 años con hipertensión arterial, en tratamiento con enalapril, amlodipino e hidroclorotiazida a dosis plenas. En consulta tiene cifras de presión arterial por encima de 150/100 mmHg y el resultado de la Monitorización Ambulatoria de la Presión Arterial (MAPA) de 24 horas s... | 1 | NIv2 | task1432_head_qa_language_translation_en_to_es | fs_opt | [
-0.14159265160560608,
-0.036871131509542465,
0.01107844803482294,
-0.37223002314567566,
0.19850745797157288,
-0.36169344186782837,
0.18952566385269165,
1.487412691116333,
0.10677030682563782,
-0.22746731340885162,
-0.5002986192703247,
0.3097211420536041,
0.07945926487445831,
-0.20373106002... |
TASK DEFINITION: This task is about translating a given French language sentence to English.
PROBLEM: Donc vous installez ces personnalisations et nous essayons de créer le moyen pour que Gnome 3 se développe au fil du temps.
SOLUTION: So you can install all those customizations and we're trying to build the ways that... | Good afternoon, everybody.
| 8 | NIv2 | task1690_qed_amara_translation | fs_opt | [
0.21670427918434143,
0.2436830699443817,
0.3541126251220703,
-1.1575884819030762,
0.052468426525592804,
-0.4719921052455902,
0.9278711080551147,
0.07902152836322784,
0.5353026390075684,
-0.43078213930130005,
0.07323313504457474,
0.6331796646118164,
-1.4564554691314697,
0.2170013189315796,
... |
Teacher:A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Teacher: Now, understand the problem? Solve this instance: Text: 8 Whom I have sent unto you for the same purpose, that he might know your estate, and comfort your h... | English | 6 | NIv2 | task447_opus_paracrawl_classification | zs_opt | [
0.12857721745967865,
-0.1011124849319458,
0.7716705799102783,
-0.7900353670120239,
0.4803493022918701,
-1.1099421977996826,
0.06447233259677887,
0.052558377385139465,
0.047380231320858,
-0.2620125114917755,
0.3537876605987549,
0.5052851438522339,
-0.976224422454834,
-0.288942813873291,
-... |
Detailed Instructions: In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
Problem:বাংলাদেশের খাবার একটা ভালোবাসা। ভাল অংশ, অসাধারণ স্বাদ। খাবারে সন্তুষ্ট!
Solution: | positive | 8 | NIv2 | task1496_bengali_reviews_sentiment_classification | zs_opt | [
-0.8753106594085693,
0.14436370134353638,
0.439043253660202,
-0.1929393708705902,
-0.04705174267292023,
0.13703371584415436,
1.3721963167190552,
0.05089811608195305,
0.14765973389148712,
-0.3418012857437134,
-0.3772481083869934,
-0.18351620435714722,
-0.18733558058738708,
0.288948357105255... |
TASK DEFINITION: The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Catalan Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Cat... | CAPITULO XVI
| 8 | NIv2 | task1652_opus_books_ca-en_translation | fs_opt | [
0.1803070306777954,
0.9164249897003174,
-0.46114715933799744,
-0.7764586210250854,
-0.0005921284900978208,
-0.5770792961120605,
0.9489647746086121,
0.10368452221155167,
0.3370213508605957,
-0.2733435034751892,
0.15921837091445923,
0.6028133630752563,
-1.4117504358291626,
-0.028972910717129... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifi... | Yes | 1 | NIv2 | task227_clariq_classification | zs_opt | [
-0.26110488176345825,
0.40794873237609863,
-0.215859055519104,
-0.07720329612493515,
0.2890511751174927,
-0.15516652166843414,
1.1558730602264404,
-0.004735036287456751,
0.4293224811553955,
-0.005114659201353788,
0.07199791073799133,
-0.9301072359085083,
-0.6135448813438416,
-0.08661706745... |
Q: Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'Entails, HasProperty, Synonym, Antonym, HasA, MemberOf, PartOf, MadeOf, IsA'. Let's denote the first word by X and the second word by Y. An 'IsA' relation holds when 'X is a kind of Y'. An 'Antonym' relation hol... | IsA | 7 | NIv2 | task1429_evalution_semantic_relation_classification | zs_opt | [
0.6445343494415283,
0.4027015268802643,
0.3926827907562256,
0.5104961395263672,
-0.15816949307918549,
-0.3161100149154663,
0.09819424152374268,
0.896498441696167,
0.31479185819625854,
-0.6082434058189392,
-0.007031746208667755,
-0.026129059493541718,
-0.048315614461898804,
-0.2591758668422... |
You are given a statement written in Hindi. 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: अकउसमाटा और -के साथ निपटने का एक और तरीका भी था; उनके प्रतीक कथात्मक चित्रण द्वारा। हमारे पास इसके कुछ ... | अरस्तू | 0 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
0.2113737016916275,
0.730365514755249,
-0.3917354345321655,
0.06025375425815582,
-0.9513440132141113,
-1.0519969463348389,
0.47721588611602783,
0.5256204605102539,
0.042548343539237976,
-0.819794774055481,
-0.08503798395395279,
-0.2012646198272705,
-0.4439026713371277,
-0.1096087098121643,... |
Given a question and its paraphrases, answer the question. The answer should exactly answer all the questions given without any ambiguity. Don't give partial answers.
[Q]: Questions: ['the dat that thomas becket was killed?']
[A]: 1170-12-29
[Q]: Questions: ['what year was tachia newall who plays bolton in waterloo ... | 1861
| 5 | NIv2 | task444_com_qa_question_paraphrases_answer_generation | fs_opt | [
0.6714414954185486,
1.2071819305419922,
-0.15375062823295593,
-0.39513903856277466,
-0.2829071283340454,
-1.2005351781845093,
0.9907124042510986,
-0.4916304349899292,
0.3447762727737427,
0.15084686875343323,
-0.23181650042533875,
0.6842139959335327,
-0.17408841848373413,
0.2765650749206543... |
Detailed Instructions: In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Q: Love this sugar. I also get muscavado sugar and they are both great to use in place o... | Sugar in the raw | 9 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
-0.6657726764678955,
0.5447724461555481,
0.4639574885368347,
-1.5607997179031372,
-0.12363889813423157,
0.3183414340019226,
0.318313330411911,
0.7571585178375244,
0.21468082070350647,
0.1806960105895996,
-0.16455435752868652,
-0.47607672214508057,
-0.06353234499692917,
0.05821337550878525,... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Christopher Lee is one of my favorite actors! I'm trying to view all of his work. He has been known to single-handedly save movies with his presence. Unfort... | negative
| 0 | NIv2 | task284_imdb_classification | fs_opt | [
0.39072954654693604,
-0.021767444908618927,
-0.608668863773346,
0.12967520952224731,
0.679641842842102,
0.02565687522292137,
1.4630168676376343,
1.229070782661438,
-0.511314868927002,
0.5222805738449097,
0.23965881764888763,
0.597325325012207,
-0.9122628569602966,
0.40252000093460083,
-1... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Example: Sox - 4 is important for very early B - cell differenti... | co - receptors | 1 | NIv2 | task1480_gene_extraction_jnlpba_dataset | fs_opt | [
-0.2247692495584488,
0.6451940536499023,
-0.5339009165763855,
-0.14910390973091125,
0.3588438630104065,
-0.2537006139755249,
0.19120490550994873,
0.6731685400009155,
0.16595298051834106,
-0.3303830623626709,
-0.5647183060646057,
-0.0037327760364860296,
-0.4192192554473877,
-0.3946491479873... |
Definition: In this task, you are given a food review in Persian, and you have to extract aspects of the food mentioned in the text. We define aspects as taste/smell(طعم), nutritional value(ارزش غذایی), product quality(کیفیت), delivery(ارسال), packaging(بسته بندی) and purchase value/price(ارزش خرید). Although there mig... | طعم | 2 | NIv2 | task529_parsinlu_food_aspect_detection | zs_opt | [
-0.7385350465774536,
0.346906840801239,
0.16716766357421875,
-0.09075066447257996,
-0.4011147618293762,
0.7998712062835693,
1.0432367324829102,
0.34429115056991577,
0.15527258813381195,
0.18797537684440613,
-0.5781307220458984,
0.09601399302482605,
-0.5488975644111633,
0.5260196924209595,
... |
Q: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story... | I leaned in to kiss my bride >Causes/Enables> My bride threw up from the smell of garlic bread on my breath | 7 | NIv2 | task748_glucose_reverse_cause_event_detection | zs_opt | [
-0.29673922061920166,
0.8221962451934814,
-0.256183385848999,
-0.723616361618042,
-0.3708975911140442,
-0.6467772126197815,
0.382892370223999,
1.0221537351608276,
-0.15399302542209625,
-0.5089385509490967,
-0.47728419303894043,
-0.05517009645700455,
-0.40688419342041016,
-0.093930438160896... |
Definition: This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and the ... | Bangalore | 2 | NIv2 | task1413_dart_object_identification | zs_opt | [
-0.2085873931646347,
0.12247331440448761,
0.02612505480647087,
0.065973199903965,
-0.30302074551582336,
-0.3266379237174988,
0.7991325855255127,
-0.20648086071014404,
0.6218430995941162,
-0.7088555097579956,
-1.1540721654891968,
-0.22931626439094543,
-0.48445960879325867,
0.345012009143829... |
Teacher:You will be given a passage with an enumerated set of facts, a question of form 'Where is <person_name>?', and its answer. The task is to identify a supporting fact that is necessary to answer the question. The output would be the corresponding fact number.
Teacher: Now, understand the problem? Solve this insta... | Fact 6 | 6 | NIv2 | task084_babi_t1_single_supporting_fact_identify_relevant_fact | zs_opt | [
0.36610621213912964,
0.5622721910476685,
-0.6008678674697876,
-0.579315185546875,
-0.40328851342201233,
-0.7962313294410706,
0.3867063522338867,
0.587121844291687,
-0.12059922516345978,
-0.4225415289402008,
-0.33189845085144043,
0.11047443747520447,
-0.7070022821426392,
-0.1517044305801391... |
TASK DEFINITION: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You sh... | no i want to become a diabetes educator
| 8 | NIv2 | task1714_convai3_sentence_generation | fs_opt | [
0.3469197750091553,
-0.2968488931655884,
-0.9397119283676147,
0.12397106736898422,
0.3774154782295227,
0.03486892580986023,
0.3156815469264984,
0.31421083211898804,
0.03513577952980995,
0.03917180001735687,
0.11202335357666016,
0.5132958889007568,
-0.3266443908214569,
0.06911645829677582,
... |
Instructions: In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Input: don't annoying me scratches head why
Output: | angry | 3 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-0.4406299591064453,
0.35953688621520996,
0.8622353076934814,
-0.8281608819961548,
-0.37784498929977417,
-0.3151266276836395,
0.42047208547592163,
0.2956681251525879,
0.9618921875953674,
0.12493730336427689,
-0.12848006188869476,
-0.7227305173873901,
-0.9975149631500244,
-0.021292924880981... |
Detailed Instructions: In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable... | Identifiable | 8 | NIv2 | task350_winomt_classification_gender_identifiability_pro | zs_opt | [
-1.1283966302871704,
0.6857142448425293,
0.1674385964870453,
-0.5762814283370972,
-0.20972903072834015,
-0.03479479253292084,
-0.49340564012527466,
1.0459041595458984,
0.40339457988739014,
0.24674633145332336,
-0.8533610105514526,
-0.06882108747959137,
-0.13616466522216797,
-0.122131451964... |
Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view tow... | Neutral | 9 | NIv2 | task420_persent_document_sentiment_classification | fs_opt | [
-0.42451173067092896,
-0.3360004127025604,
0.2304518222808838,
0.8737359046936035,
0.6366575360298157,
-1.055399775505066,
1.0392539501190186,
1.0123989582061768,
0.006716178730130196,
0.5143842101097107,
0.061517782509326935,
0.6938319206237793,
-0.5134477615356445,
-0.6453704833984375,
... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
See one example below:
Problem: Aquí esta la medusa ala-x de la muerte.
Solution: Qui c'è la medusa mortale con le ali ad X.
Explanation: The Spanish sentence is correctly translated into Italian, bec... | Beh, malgrado l'ovvia importanza di questa domanda per validare scientificamente la ricerca, mi venne detto: "" non si preoccupi, metta semplicemente come lei si identifica "". Quindi spuntai "" nero "", ma non avevo fiducia nei risultati di uno studio che trattava una variabile così importante in modo così poco scient... | 4 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.22335174679756165,
0.17726780474185944,
-0.6130846738815308,
-0.09664323925971985,
-0.5814051628112793,
-0.7526544332504272,
-0.07987762987613678,
1.6469504833221436,
-0.075082927942276,
0.3401111364364624,
-0.21436041593551636,
0.1384904533624649,
0.0015828977338969707,
0.4075892567634... |
Given the task definition and input, reply with output. In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by... | [-63, 92, -32] | 5 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
-0.484436571598053,
0.8045850992202759,
-0.19346940517425537,
-0.36653655767440796,
0.01884523034095764,
-0.4628194570541382,
1.064288854598999,
0.29537591338157654,
-0.021452009677886963,
0.056886181235313416,
-0.5205371379852295,
0.18758311867713928,
0.10658082365989685,
0.11498001217842... |
Instructions: Compose a new way to ask the same question. The new question must be asking the exact same thing as the original question does. Without any other information, you should be able to tell that the original question and the new question are the same. Preserve bracketed phrases in your new question. You can c... | [Clio] is the subject for what artwork? | 3 | NIv2 | task402_grailqa_paraphrase_generation | zs_opt | [
0.3180801272392273,
0.16451220214366913,
-0.69405597448349,
0.21145041286945343,
-0.1738261580467224,
-0.5883769989013672,
-0.06770855188369751,
0.4599391222000122,
0.33370065689086914,
-0.16302502155303955,
-0.5720745921134949,
0.27986782789230347,
-0.3498331308364868,
0.2385736107826233,... |
Detailed Instructions: In this task, you are given a context sentence containing a blank (_). You are expected to fill the blank with one word to make the sentence convey a cultural stereotype. A stereotype is an over-generalized belief about a particular group of people. Your answer must not contain more than one word... | dangerous | 9 | NIv2 | task277_stereoset_sentence_generation_stereotype | zs_opt | [
0.3467373251914978,
0.568446934223175,
-0.29017606377601624,
-0.41668403148651123,
0.6628427505493164,
-0.18492405116558075,
0.9704899787902832,
0.771215558052063,
-0.3897342085838318,
-0.1431877762079239,
-0.6319145560264587,
-0.2359992265701294,
-0.6577680110931396,
0.4848521947860718,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
--------
Question: الجنس والموت, كم يبدوان قريبان
Answer: סקס ומוות, נראים כל כך קרובים.
Question: عرف بينكي هذا.
Answer: בנקי ידע על כך.
Question: مالذي يحدث الأن في المجال الصحي ؟
Answer: | מה קורה בתחום הבריאות?
| 7 | NIv2 | task1233_ted_translation_ar_he | fs_opt | [
-0.6199257373809814,
0.4831293225288391,
-0.2673420310020447,
-0.5625830888748169,
-1.1419678926467896,
0.24024134874343872,
0.4715264141559601,
-0.41116267442703247,
0.6681351065635681,
-0.3657335340976715,
-0.8483726978302002,
0.5323374271392822,
-0.38831305503845215,
0.293560266494751,
... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (co... | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_D... | 5 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.499728262424469,
-0.10447489470243454,
-0.013933639042079449,
-0.3104167878627777,
0.5788184404373169,
-0.09858868271112442,
0.8354134559631348,
0.9736911058425903,
-0.5364998579025269,
0.21811643242835999,
-0.11539272964000702,
0.25217926502227783,
-0.34055277705192566,
0.18618823587894... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice... | yes | 0 | NIv2 | task115_help_advice_classification | fs_opt | [
0.27198347449302673,
0.6494914293289185,
0.07342371344566345,
0.1807219386100769,
0.47074371576309204,
-1.003534197807312,
1.1714606285095215,
0.7527222037315369,
-0.06767233461141586,
0.2628466486930847,
-0.29892587661743164,
-0.49848276376724243,
-0.547256350517273,
-0.21591806411743164,... |
Definition: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they ... | For each delegate, find the names of the party they are part of. | 2 | NIv2 | task184_break_generate_question | zs_opt | [
0.708594799041748,
-0.03588967025279999,
-0.8280135989189148,
0.7209552526473999,
0.37104561924934387,
-0.5065330266952515,
0.8560521006584167,
0.22291463613510132,
-0.27193546295166016,
0.6209325194358826,
-0.32283157110214233,
0.508842408657074,
-0.008713534101843834,
0.3029971718788147,... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
One example: This is my go to place to get the best chicken Pad Thai! Also the price is super good, considering... | NEGATIVE | 6 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-1.3854005336761475,
0.00823929812759161,
0.0810476690530777,
-0.05298076942563057,
0.35194528102874756,
-0.5066220760345459,
0.71882563829422,
0.5393323302268982,
0.35999199748039246,
0.09759054332971573,
0.011924759484827518,
0.3050234913825989,
-0.9117850661277771,
0.520380973815918,
... |
Q: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have... | No | 7 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.23568962514400482,
0.4915992319583893,
0.39984214305877686,
-0.2495763748884201,
-0.5458543300628662,
-0.9280300736427307,
1.2538414001464844,
0.4154602587223053,
-0.38102614879608154,
-0.5574681758880615,
-0.3490043878555298,
-0.061801791191101074,
-0.5071208477020264,
0.261978447437286... |
In this task, you need to write a topic word from the given fact. The topic word must have at least one word overlap with the given fact. The topic word often involves adding a new word from a related concept. In your topic word, use at least one word from the given fact. Topic words with two or more words work best.
E... | Solution: environment forest. | 5 | NIv2 | task036_qasc_topic_word_to_generate_related_fact | fs_opt | [
0.22937819361686707,
0.9831399917602539,
-0.27326834201812744,
0.08798277378082275,
-0.35769587755203247,
-0.7664607763290405,
0.2866864502429962,
0.39772340655326843,
-0.2084607630968094,
-0.7935377359390259,
-1.0727044343948364,
0.2681741416454315,
-0.23801228404045105,
-0.11087873578071... |
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