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 |
|---|---|---|---|---|---|---|
Instructions: In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Input: who won the season ... | Red Sox | 3 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.48246175050735474,
0.4608742296695709,
-0.21804797649383545,
0.08081035315990448,
-0.6659872531890869,
-0.42751383781433105,
0.6860603094100952,
0.7396606206893921,
0.18458467721939087,
-0.18781660497188568,
-0.8799024820327759,
0.6448829174041748,
-0.4727914333343506,
-0.32475280761718... |
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.
--------
Question: Sentence1: Katherine was at home watching TV. Sentence2: Suddenly she got a phone call. Sentence3: Her dad had had a heart attack and was in the hos... | Friend, Ryan
| 7 | NIv2 | task292_storycommonsense_character_text_generation | fs_opt | [
0.28985682129859924,
0.01664777286350727,
-0.3642340898513794,
-0.6881265640258789,
0.27811199426651,
-0.9048314094543457,
0.6433895826339722,
1.1044363975524902,
0.1190609335899353,
0.2296760380268097,
-0.4341069161891937,
-0.13106663525104523,
-0.8519220948219299,
0.25215059518814087,
... |
Instructions: In each example you will read a short sentence (or two). Then, a pronoun in the text is mentioned. Your task is to choose a referent which the mentioned pronoun refers to. You will be given two options in each case and one choice should seem much more likely to you than the other.
Input: sentence: Adam an... | bob and steve | 3 | NIv2 | task249_enhanced_wsc_pronoun_disambiguation | zs_opt | [
-0.20970049500465393,
0.8852792978286743,
-0.248532235622406,
-0.7051581144332886,
-0.2804889678955078,
-0.3492363691329956,
0.8660149574279785,
0.3350805938243866,
0.5894901156425476,
0.032576244324445724,
-0.2315264642238617,
-0.03360465168952942,
-0.0738496482372284,
-0.1611764132976532... |
Teacher: In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember t... | The patient used the inhaler to fight the asthma attack but the _ was too weak. | 2 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.7231929302215576,
-0.011734044179320335,
0.0539686381816864,
-0.3902781009674072,
0.7194715142250061,
-0.9530887007713318,
0.7610132694244385,
1.1646268367767334,
-0.6003379225730896,
-0.23778453469276428,
-0.334048867225647,
0.2082127332687378,
-0.3752296566963196,
-0.08940981328487396,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
رئيس وزراء اسرائيل رابين قال عندما انخرط في عملية اوسلو "" انت لا تعمل سلام مع اصدقاءك, انت تعمل سلام مع اعداءك "" ذلك صعب لكنه ضروري
ラビン元首相はオスロ･プロセスに関わった際「和平は友と結ぶのではない和平とは敵と結ぶものだ」と言いました困難ですが必要なことなのです
وما سوف اركز عليه في ... | 昨年の５月１１日に単独で北極点にたどり着きました
| 0 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
0.09880900382995605,
0.41631826758384705,
-0.3711051940917969,
-0.17511683702468872,
-0.3186907172203064,
0.1495802402496338,
0.9843063354492188,
0.05132094398140907,
0.24180251359939575,
-0.5480494499206543,
-0.5929375290870667,
0.14236202836036682,
-0.49847927689552307,
-0.16400501132011... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Internet è solo il mezzo tramite il quale quelle persone ed idee entrano in contatto.
Output: | La Internet solo es el medio por el cual la gente y las ideas se conectan; | 1 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.694686770439148,
0.773307740688324,
0.12153938412666321,
-0.29965996742248535,
0.24827541410923004,
0.2679978609085083,
0.41942298412323,
1.1801657676696777,
0.30514004826545715,
0.1581541895866394,
-0.10534922033548355,
0.39713650941848755,
-0.38276946544647217,
-0.06378046423196793,
... |
In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
Example: ['238', 'h', '92', 'U', '2799']
Example solution: h, U
Example explanation: Here, the alphabetical elements in t... | Solution: K, x, n, f, t, A, I, k, J, L, v | 5 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | fs_opt | [
-0.10173826664686203,
0.1909942924976349,
-0.460878849029541,
-0.23134413361549377,
0.03766128793358803,
-0.49461284279823303,
0.4842815101146698,
-0.12308792769908905,
-0.39483529329299927,
0.3639366030693054,
-0.7501475811004639,
-0.500395655632019,
0.3924892544746399,
-0.004299387335777... |
Teacher:Given a sentence in German, generate a new German 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 o... | Wenn Sie in einem Zoo gehen wollen, dann sollten Sie bequeme Schuhe verwenden. | 6 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.38158947229385376,
0.6803554892539978,
0.18550431728363037,
-0.54552161693573,
-0.032401859760284424,
-0.40658628940582275,
1.2391247749328613,
0.2811477780342102,
0.15219956636428833,
-0.3484259843826294,
-0.42916491627693176,
0.39656007289886475,
-0.6621662378311157,
-0.42548006772994... |
Definition: In this task your given two statements in Tamil. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Input: அந்த பெண்மணியிடமிருந்த முட்டைகள் தீர்ந்து போயின
அ... | effect | 2 | NIv2 | task1177_xcopa_commonsense_cause_effect_ta | zs_opt | [
-0.45307910442352295,
0.0968756154179573,
0.23197123408317566,
-0.11373655498027802,
0.0446009635925293,
-0.44934773445129395,
-0.3583770990371704,
0.8239489197731018,
-0.06848154962062836,
0.19276392459869385,
-0.7136191129684448,
0.3280574679374695,
-0.5352891683578491,
0.346611350774765... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
וכל זאת פשוט ע "" י צפיה בגלי המוח של הילד. | E todo isto pola simple observación das ondas cerebrais dos nenos. | 0 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-0.6471720337867737,
0.5058435201644897,
-0.1004943698644638,
-0.9751616716384888,
-0.4785696864128113,
-0.036448247730731964,
0.3700760006904602,
-0.27212101221084595,
0.5550616383552551,
-1.122409701347351,
-0.544329047203064,
0.010716686025261879,
-0.2799130082130432,
0.6090857982635498... |
Detailed Instructions: Given a sentence in Bulgarian, generate a new Bulgarian 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 rea... | Ако искате да се сприятелите, трябва да се присъедините към конференция. | 8 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
0.0625678226351738,
0.5522842407226562,
-0.21279214322566986,
-0.35076647996902466,
0.08438417315483093,
-0.38296258449554443,
1.477730393409729,
-0.1315777599811554,
0.5733740329742432,
-0.651944637298584,
-0.8889012932777405,
0.4222727119922638,
-0.7590011358261108,
0.510058581829071,
... |
Teacher: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Teacher: Now, understand the problem? If you are still confused, see the following example:
סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Solution: ويمكن اعادة تكرار هذه العملية على طول الشريط... | منطقة مونيري هي أحد تلك الأماكن. | 2 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
0.023106977343559265,
0.18480493128299713,
0.301511287689209,
-0.7507176399230957,
-0.30721673369407654,
-0.6023732423782349,
0.5254008173942566,
-0.1393238604068756,
0.6233915090560913,
-0.4440746009349823,
-0.6780885457992554,
-0.2825416326522827,
-0.49064111709594727,
-0.020398477092385... |
Detailed Instructions: In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Q: Jesse ate and drank a few hours ago. He won't be able to do that blood test today.
A: | What does Jesse need to do before this? | 9 | NIv2 | task596_mocha_question_generation | zs_opt | [
0.3565901219844818,
1.759628176689148,
0.18556344509124756,
0.23142288625240326,
-0.5341134667396545,
-0.2087739109992981,
0.5969846248626709,
0.4752790927886963,
0.2651384174823761,
0.0002102794824168086,
0.20297254621982574,
-0.36670637130737305,
-0.3913276791572571,
0.5652108192443848,
... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
[Q]: Personality: My favorite color is black.
I own an Iphone.
My favorite tv show is Rick a... | Hi there and how are you doing.
| 5 | NIv2 | task1730_personachat_choose_next | fs_opt | [
-0.18158060312271118,
-0.3839932978153229,
-0.040162257850170135,
-0.41102278232574463,
0.19823813438415527,
-0.24332976341247559,
1.2900749444961548,
0.4953031539916992,
-0.2916843295097351,
-0.04781809449195862,
-0.2957691550254822,
0.3672902584075928,
-0.36101019382476807,
0.03294624760... |
Detailed Instructions: In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
See one example below:
Problem: 2, 3, ['a'... | 1495, 6685, 2653, 5599 | 4 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
-0.3089984357357025,
0.3344423770904541,
-0.6837742924690247,
-0.8302210569381714,
-0.4699515700340271,
0.09877192974090576,
0.7180575132369995,
0.1760345995426178,
-0.04026692360639572,
0.07245247811079025,
-0.5859910845756531,
0.09393229335546494,
-0.05526892468333244,
0.1767450869083404... |
Q: In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Is Plan 10 from Outer Space a satire?
A: | Is Plan 10 from Outer Space good? | 7 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.3403722047805786,
0.9542901515960693,
-0.2473887801170349,
-0.9503745436668396,
-0.4522327780723572,
-0.21805508434772491,
0.5503019690513611,
0.17309321463108063,
0.4313631057739258,
0.4389592409133911,
-0.29790282249450684,
0.20242629945278168,
-0.836997926235199,
0.03237747400999069,... |
Detailed Instructions: Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the i... | She loved laying in bed but was getting fat. | 4 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.5987995862960815,
0.18233953416347504,
-0.35124337673187256,
0.4526277482509613,
0.24658338725566864,
-0.6486839652061462,
0.07975616306066513,
0.9223545789718628,
-0.3913024961948395,
-0.44847729802131653,
-0.7319262027740479,
-0.3371680676937103,
-0.25011003017425537,
-0.02263541892170... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
To nie jest model w pomniejszonej skali, to jest rzeczywisty rozmiar.
Output: | هذا ليس بنموذج مصغر هذا هو حجمه الحقيقي | 1 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.523918867111206,
0.6931882500648499,
-0.15267518162727356,
-0.628737211227417,
-0.5750724077224731,
0.3840769827365875,
1.7032582759857178,
0.00460133096203208,
0.6886079907417297,
-0.0160052627325058,
-0.49807316064834595,
0.3145994544029236,
-0.428804486989975,
0.24309015274047852,
... |
You will be given a definition of a task first, then some input of the task.
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 p... | druggies | 1 | NIv2 | task277_stereoset_sentence_generation_stereotype | zs_opt | [
-0.45566850900650024,
0.4030015468597412,
-0.7614568471908569,
-0.08693083375692368,
0.7619195580482483,
-0.42851540446281433,
0.6219653487205505,
0.6113513112068176,
0.19688940048217773,
-0.09861578047275543,
-0.5574554204940796,
-0.17577028274536133,
-0.11405445635318756,
0.0060263080522... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
1, 7, ['L', '8869', 'U', 'K', 'x', 'V', 'H', 'C', '8097', 't', '... | L, C | 0 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
-0.0889253243803978,
0.793085515499115,
-0.7416247129440308,
-0.5090152621269226,
-0.683855414390564,
-0.07296925783157349,
0.38949495553970337,
-0.2256268560886383,
-0.19138015806674957,
-0.13362044095993042,
-0.17908909916877747,
-0.44663822650909424,
0.16039851307868958,
0.5673974752426... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
One example is below.
Q: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.
A: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
Rational... | 反対に別の技術例えば輸送技術の推移を片対数グラフにするとくだらないただの平らな線になってしまいます | 9 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.8816996812820435,
0.16358180344104767,
-0.2507747709751129,
-0.35483434796333313,
-0.16102853417396545,
-0.07294505834579468,
-0.7048448920249939,
0.787105917930603,
0.16726849973201752,
-0.42815202474594116,
-0.4980476498603821,
-0.07146844267845154,
-0.46318313479423523,
-0.2674664556... |
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... | REFERENCE breakdown | 4 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
0.05491643399000168,
0.41930222511291504,
-0.6256592273712158,
0.29248082637786865,
-0.21603929996490479,
-0.4035987854003906,
1.217814564704895,
1.1622645854949951,
0.04770541191101074,
0.0892597958445549,
-0.3308763802051544,
0.3067718744277954,
-0.44254595041275024,
-0.04079123586416244... |
instruction:
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
question:
These are great. We were told to stay away from wheat, barley and rye. This is a good answer for us. They a not pre-cut so you have to cut ... | Positive
| 9 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
0.168977290391922,
-0.10932864248752594,
-0.020983180031180382,
0.12239431589841843,
0.025755153968930244,
-0.4659101963043213,
0.8323426246643066,
0.9643124938011169,
-0.31780698895454407,
0.5596681833267212,
0.04987805336713791,
0.15346018970012665,
-0.8429434299468994,
-0.35774707794189... |
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.
Input: Consider Input: எம்மிடம் வலுவான தேசிய பல்லுயிர் பலதரப்புத்தன்மை அணுகுமுறை உள்ளது. உலகின் மொத்த பரப்பில் 2.
Output: ਸਾਡੀ ਰਾਸ਼ਟਰੀ ਜੈਵ-ਵਿਭਿੰਨਤਾ ਰਣਨੀਤ... | Output: ਪ੍ਰਧਾਨਮੰਤਰੀ ਨੇ ਕਿਹਾ ਕਿ ਸਰਕਾਰ ਇਹ ਸੁਨਿਸ਼ਚਿਤ ਕਰਨ'ਤੇ ਕੰਮ ਕਰ ਰਹੀ ਹੈ ਕਿ ਕਿਸਾਨਾਂ ਨੂੰ ਆਧੁਨਿਕ ਬੀਜ, ਉਚਿਤ ਬਿਜਲੀ ਸਪਲਾਈ ਅਤੇ ਸਰਲ ਬਜ਼ਾਰ ਸੁਵਿਧਾ ਹਾਸਲ ਹੋ ਸਕੇ।
| 2 | NIv2 | task1016_pib_translation_tamil_punjabi | fs_opt | [
0.015291426330804825,
0.6908318996429443,
0.24627740681171417,
0.06162369251251221,
-0.010168427601456642,
-0.8989502191543579,
0.37516069412231445,
0.25084400177001953,
-0.34427642822265625,
0.9016561508178711,
-1.1153745651245117,
0.15682056546211243,
-0.3797840476036072,
-0.148056089878... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
Solution: Poradzi sobie, ale trzeba na nią uważać.
Why? T... | Idea, że możemy tam spokojnie się rozwijać z kilkoma drobnymi przeszkodami, jest niebezpiecznie błędna, jest niebezpiecznie błędna, ponieważ oznacza to, że nie przygotowujemy się na to, co ma naprawdę nastąpić. | 0 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
0.7230533361434937,
0.9169573187828064,
0.22220095992088318,
-0.4725048243999481,
-0.30905628204345703,
-0.1514624059200287,
1.308699369430542,
-0.18566957116127014,
0.6916114091873169,
0.05445639789104462,
-0.5087212324142456,
0.6897479295730591,
-0.7438212633132935,
0.32329705357551575,
... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the top... | non-political | 8 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | fs_opt | [
-0.4025009572505951,
-0.36575114727020264,
0.33994632959365845,
0.5025476813316345,
-0.28823229670524597,
-0.34714528918266296,
0.17925786972045898,
0.1633099615573883,
-0.2911047339439392,
-0.025963585823774338,
-0.17045575380325317,
-0.1259361207485199,
0.0779179185628891,
-0.46591451764... |
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... | He ended up proposing
****
| 4 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
0.1517469733953476,
0.8991576433181763,
-0.28364983201026917,
-0.7159970998764038,
-0.4107683598995209,
-0.16626869142055511,
0.2545802891254425,
0.5038326978683472,
-0.3024024963378906,
-0.006526349112391472,
-0.4122675955295563,
0.8785660862922668,
0.017690002918243408,
0.015632374212145... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Problem:و وقتی به این نتیجه رسیدم که این به طور قطع روشی کلیدی برای درمان این مشکل است ، انجام این کار به نظرم فوق العاده پیچیده آمد.
Solution: | Y mientras este ciertamente sigue siendo la clave para una cura, parecía extraordinariamente complicado para mí. | 8 | NIv2 | task1267_ted_translation_fa_es | zs_opt | [
-0.669440507888794,
0.6953927278518677,
-0.2461845874786377,
0.11778099834918976,
-0.3375115692615509,
-0.3184252977371216,
0.8901355266571045,
0.8488214612007141,
0.7741835117340088,
-0.6071237325668335,
-0.35587793588638306,
0.2362695187330246,
0.0801183357834816,
0.7096301317214966,
-... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize o... | 商用打ち上げに使われるとともに、新たなLC-40はNASAとの商用軌道輸送サービス（COTS）契約の下で国際宇宙ステーションへの貨物補給ミッションにも使われる。 | 0 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.12393975257873535,
0.6330268383026123,
-0.7131117582321167,
0.029297351837158203,
-0.059971004724502563,
0.07806466519832611,
0.6594031453132629,
0.48394548892974854,
0.017118170857429504,
-0.6317369937896729,
-0.7492367029190063,
0.7801680564880371,
-0.18803638219833374,
0.424551308155... |
Part 1. Definition
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Part 2. Example
Category: EVERYBODY TALKS ABOUT IT...
Clue: In the winter ... | scholastic | 7 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
-0.15018391609191895,
-0.1969645470380783,
-0.004656265024095774,
-0.13316762447357178,
-0.16396789252758026,
-0.057085100561380386,
0.4695740044116974,
-0.09640322625637054,
0.7544817924499512,
-0.6501002907752991,
-0.8266162276268005,
-0.05458705872297287,
-0.7561782598495483,
0.49157696... |
Instructions: You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Input: Personality: I live in California.
I like to eat spaghetti.
My favorite ... | Jealous! Do you have any hobbies? | 3 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.6086340546607971,
0.17485389113426208,
-0.28138822317123413,
-0.45869147777557373,
-0.3517940640449524,
-0.05391918867826462,
1.0526041984558105,
0.017636572942137718,
-0.08155912905931473,
-0.4999491572380066,
0.39176613092422485,
-0.4257601201534271,
-0.1014220342040062,
-0.1481425166... |
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: الآن ، كيف تبدو هذه المدن المتوسطة والكبيرة والعملاقة والجد عملاقة ؟
Student: | さて中都市 ､ 大都市 ､ メガシティ ､ ハイパーシティとはどのようなものでしょうか ？ | 6 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.36185112595558167,
0.7463855743408203,
0.47256529331207275,
-1.4684489965438843,
-0.20839479565620422,
-0.12537804245948792,
0.9831355810165405,
1.002558946609497,
0.3957694172859192,
-0.3770512640476227,
-0.3621940016746521,
0.03992677479982376,
-1.1266701221466064,
-0.5353872776031494... |
Q: You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
... | Yes. | 7 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.47649142146110535,
0.209318608045578,
0.3338286280632019,
0.12123297899961472,
-0.662623405456543,
-1.4589470624923706,
0.3199054002761841,
1.5869767665863037,
0.6269744634628296,
-0.4457048773765564,
0.21853762865066528,
0.3781132698059082,
-0.08683308213949203,
-0.4680477976799011,
... |
Given the task definition and input, reply with output. In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
[4, 4, 5, 0, 5, 2]
| [0, 2] | 5 | NIv2 | task097_conala_remove_duplicates | zs_opt | [
-0.3833775818347931,
0.6882996559143066,
-0.08027587831020355,
0.1775285005569458,
0.19674959778785706,
-0.24417519569396973,
0.8401293754577637,
0.14608663320541382,
-0.38138726353645325,
0.16700725257396698,
-1.3291420936584473,
-0.2865907549858093,
-0.04402686655521393,
-0.1744774132966... |
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.
Ex Input:
Tweet: “@Tyga: That ain't my hoe.”
Label: Offensive
Ex Output:
tru... | true
| 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.1142871379852295,
0.37835192680358887,
0.6105967164039612,
1.0617380142211914,
-0.2909490466117859,
-1.6289989948272705,
-0.23496201634407043,
0.7804427146911621,
0.4526471197605133,
0.23763921856880188,
-0.3243776559829712,
-0.3373583257198334,
-0.6572861075401306,
-0.8019696474075317,... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one tha... | a
| 5 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.20190516114234924,
0.20002111792564392,
-0.19331520795822144,
0.004777697846293449,
0.41352033615112305,
-0.2312147617340088,
0.5477657318115234,
1.1614137887954712,
0.4542280435562134,
-0.11364597082138062,
-0.4680878221988678,
0.0626484677195549,
0.2301872968673706,
-0.1798514872789383... |
Part 1. Definition
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Part 2. Example
Review: For a movie that gets no... | yes | 7 | NIv2 | task285_imdb_answer_generation | fs_opt | [
0.04275035858154297,
0.10751630365848541,
0.023756157606840134,
0.507506787776947,
0.17138390243053436,
-0.7698417901992798,
0.4298781752586365,
0.9342367649078369,
-0.047079142183065414,
-0.1507735550403595,
-0.2061578631401062,
0.2957344651222229,
-0.637911319732666,
-0.3825339674949646,... |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
--------
Question: Will tugged at the window curtain.
Answer: Past
Quest... | Past
| 7 | NIv2 | task429_senteval_tense | fs_opt | [
-0.9530861377716064,
0.6413772106170654,
0.16936054825782776,
0.04556403309106827,
-0.1222505122423172,
0.1945757269859314,
0.7307581305503845,
0.8998244404792786,
0.37138062715530396,
0.06974869966506958,
-0.6072298884391785,
-0.07830599695444107,
-0.22414925694465637,
0.18377605080604553... |
instruction:
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
question:
Sentence 1: is it different in different states do you know Sentence 2: I... | 4
| 9 | NIv2 | task198_mnli_domain_classification | fs_opt | [
-0.20973870158195496,
0.09412583708763123,
0.020309574902057648,
-0.09093591570854187,
-0.14174503087997437,
-0.29351502656936646,
0.36141443252563477,
1.2579540014266968,
-0.5414110422134399,
-0.05643550306558609,
-0.7377188205718994,
-0.20101740956306458,
0.04176709055900574,
-0.37008816... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
You're welcome.
I dont have that information for you.
Tajikistan is a country in Central Asia. It was previously part of the Soviet... | It was not until 1992 that another African American was elected as a US Representative from NC.
| 0 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.664247989654541,
0.20601117610931396,
-0.32785505056381226,
0.1609267294406891,
-0.25117599964141846,
0.021826371550559998,
0.6651324033737183,
-0.016971200704574585,
-0.3655787408351898,
0.2118096798658371,
-0.02445962280035019,
-0.2420310378074646,
-0.3211730718612671,
0.37486106157302... |
Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and th... | He finds a new job to help him earn money. After a few months of working, Ben saves enough for the perfect home. Bes is able to buy his dream home.
| 6 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.8537724018096924,
0.279157817363739,
-0.04515569284558296,
0.49930015206336975,
0.49603962898254395,
-0.9349455833435059,
0.556098461151123,
1.1935292482376099,
-0.3700217008590698,
0.08948066085577011,
-0.5795443654060364,
0.11187098920345306,
-0.36951276659965515,
-0.1244424507021904,
... |
Given the task definition and input, reply with output. You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
which person wrote To Paint or Make Love?
| Arnaud Larrieu, Jean-Marie Larrieu | 5 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-1.218398094177246,
0.7609993815422058,
0.7346211671829224,
0.6155856847763062,
-0.23994888365268707,
-0.20816540718078613,
-0.044095348566770554,
-0.5057116746902466,
0.44951868057250977,
-0.4476604461669922,
0.004740351811051369,
0.1784311830997467,
-0.002461538650095463,
-0.310274630784... |
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Ex Input:
Hotel was awesome. Beautiful relaxing and the like. Rooms were huge and the staff was attentive to anything we may have needed. \nWhy then did I give it only one star?? Well for two reasons. First th... | 3 stars
| 1 | NIv2 | task1292_yelp_review_full_text_categorization | fs_opt | [
0.17457853257656097,
-0.029179297387599945,
-1.028841495513916,
-0.1648201048374176,
0.47567468881607056,
-0.5581192970275879,
0.2352016717195511,
1.2393745183944702,
0.13431034982204437,
-0.12853491306304932,
0.4019737243652344,
0.9695827960968018,
-0.734137773513794,
0.07079856097698212,... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 4 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.34723472595214844,
0.3766341209411621,
0.22402077913284302,
-0.03778833523392677,
-0.5495427846908569,
-1.0928542613983154,
1.0669485330581665,
-0.010039737448096275,
-0.4141847491264343,
-0.3089654743671417,
-0.6393228769302368,
-0.29758352041244507,
-0.2855406403541565,
0.3347919881343... |
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.
--------
Question: A Frank Capra WONDERS OF LIFE film.Keeping the blood pumping through our veins is the responsibility of hardworking HEMO THE Magnificent.I... | positive
| 7 | NIv2 | task284_imdb_classification | fs_opt | [
-0.2616042196750641,
0.05147768557071686,
-0.23488715291023254,
0.45565107464790344,
0.5337446928024292,
-0.282107412815094,
0.6684470772743225,
0.9122858643531799,
-0.36455512046813965,
-0.16350336372852325,
-0.2594291567802429,
-0.03268115222454071,
-0.19681747257709503,
-0.2040629237890... |
Definition: Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Input: GE made all meeting members stand. Amazing the decisions made, the compromises, and how short the meeting time became.
Output: | No | 2 | NIv2 | task1721_civil_comments_obscenity_classification | zs_opt | [
-0.5856367349624634,
0.17140932381153107,
0.36787211894989014,
0.44030940532684326,
0.09662097692489624,
-0.3400273621082306,
-0.23895442485809326,
0.30258893966674805,
0.5583622455596924,
0.7529316544532776,
-0.6025345921516418,
-0.0017956511583179235,
-0.10018495470285416,
-0.22273057699... |
Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Input: ['5327', '8697']
Output: | 5327, 8697 | 3 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.27116915583610535,
0.4371988773345947,
-0.9498035907745361,
-0.89216148853302,
-0.3761935830116272,
0.28368595242500305,
0.7466124296188354,
-0.30347126722335815,
0.09489394724369049,
0.386425256729126,
-0.6892756819725037,
-0.28131258487701416,
0.4899364113807678,
0.22115962207317352,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Q: Este coláxeno é o recheo entre as células.
A: Materiał występujący między komórkami,
****
Q: Desde 1901 a medicina leva avanzado moito.
A: Od 1901 medycyna się znacznie rozwinęła.
****
Q: E previsiblemente, quizais, ... | I jak można się było domyśleć, czwartego dnia skończył na sali operacyjnej.
****
| 4 | NIv2 | task1244_ted_translation_gl_pl | fs_opt | [
-0.774695634841919,
0.9765279293060303,
0.046547017991542816,
-0.8249799013137817,
-0.09368880093097687,
-0.6296749114990234,
1.0751352310180664,
0.03248654305934906,
-0.8336191773414612,
-0.22371244430541992,
-0.650903046131134,
0.5008574724197388,
-0.33433985710144043,
0.6901452541351318... |
Definition: In this task, given a sentence in the Japanese language, your task is to convert it into the English language.
Input: 元政府当局者の裁判がちょうど終わったばかりで、中国にとってデリケートな時期に、この事故が起こった。
Output: | This outage comes at a sensitive time for China, with the trial of , a former government official, having just ended. | 2 | NIv2 | task542_alt_translation_ja_en | zs_opt | [
0.11206154525279999,
-0.0310374703258276,
-0.0469268262386322,
-0.430059552192688,
0.039512693881988525,
-0.04222721606492996,
-0.05562393739819527,
0.6893251538276672,
0.4411424398422241,
-0.1836055964231491,
-0.28027454018592834,
0.3880232274532318,
0.2832239866256714,
0.8749526143074036... |
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follo... | agent | 8 | NIv2 | task1599_smcalflow_classification | fs_opt | [
-0.429961621761322,
0.38855981826782227,
0.26471516489982605,
-0.17313577234745026,
-0.18784980475902557,
0.026812467724084854,
0.6819289922714233,
-0.17580610513687134,
0.22365021705627441,
-0.11364607512950897,
0.02516350895166397,
-0.36376944184303284,
-1.1764112710952759,
0.51018905639... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Example: Sentence 1: Next to the MGM Grand you will find M and M World. Sentenc... | Solution: no | 5 | NIv2 | task199_mnli_classification | fs_opt | [
-0.5233257412910461,
0.044832371175289154,
0.8765056133270264,
-0.2921764850616455,
0.27775752544403076,
-1.0734059810638428,
-0.3035412132740021,
0.5941864252090454,
0.2293078452348709,
0.005106107797473669,
-0.5431427955627441,
-1.0460667610168457,
-0.32962071895599365,
-0.31023281812667... |
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 deter... | Yes | 3 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.3704056739807129,
-0.008604534901678562,
0.6508446931838989,
0.0668981671333313,
-0.3730209767818451,
-1.2976248264312744,
0.6921262741088867,
0.5213644504547119,
-0.5977755188941956,
-0.4725329577922821,
-0.2348441183567047,
-0.6854653358459473,
-0.8650583028793335,
0.4371088147163391,
... |
Given the task definition and input, reply with output. Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
In which long-running TV programme did Elizabeth Carling and Emma Amos take over the leading female roles from Dervla Kirwan and Michelle H... | dervla kirwan | 5 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
-0.09035024046897888,
0.45320892333984375,
0.41410666704177856,
-0.4709402620792389,
0.11682569980621338,
-0.47273683547973633,
0.45849359035491943,
-0.0016748884227126837,
-0.041477568447589874,
-0.04978380724787712,
-0.2696029841899872,
0.6808185577392578,
-0.5298874378204346,
-0.0167002... |
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Ex Input:
The conversation with Heather was terrifying.
Ex Output:
fear
E... | fear
| 1 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.6001392602920532,
0.25064682960510254,
0.09474334120750427,
-0.4685993194580078,
-0.13065414130687714,
-0.4887526035308838,
0.5272821187973022,
0.5650771856307983,
0.3567419946193695,
-0.5223239660263062,
-0.8122649192810059,
-0.6531699895858765,
-0.2871796786785126,
-0.3542693853378296... |
Teacher: 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,... | [16, 2048, 2048, 1024, 16, 64, 4] | 2 | NIv2 | task1444_round_power_of_two | fs_opt | [
0.05132678896188736,
0.5340901613235474,
-0.24387654662132263,
-0.049183912575244904,
-0.05178919807076454,
-0.4642353355884552,
0.7272099852561951,
0.6001725792884827,
-0.3983517587184906,
0.1809338629245758,
-0.4441761374473572,
0.15779303014278412,
-0.20119093358516693,
-0.2876462340354... |
Detailed Instructions: Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Problem:Category: employment activity
Words: let go, hire, fire, scold, water
Solution: | water | 8 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
-0.09797702729701996,
1.175610065460205,
-0.47708970308303833,
-0.24130403995513916,
0.09695449471473694,
-0.3239625096321106,
-0.24633966386318207,
0.458513468503952,
0.36339640617370605,
-0.11661893874406815,
-0.13019707798957825,
-0.8436626195907593,
-0.853245735168457,
-0.0405585691332... |
instruction:
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
question:
English: Labor in Texas which concluded in 2005 stated: "Mini... | No
| 9 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.22332271933555603,
-0.6784155964851379,
0.08956524729728699,
0.1785205602645874,
0.2829357385635376,
-0.4171069860458374,
-0.3299451768398285,
-0.014219189994037151,
-0.2753078043460846,
-0.2274872362613678,
-0.04375950247049332,
-0.047687746584415436,
0.05945206433534622,
0.19737608730... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
ולמרות זאת, יש עוד המון עבודה לעשות.
Output: | Ma detto ciò, abbiamo ancora molto da fare. | 1 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.6153571605682373,
0.8621292114257812,
-0.1806936264038086,
0.5100151300430298,
-0.15503914654254913,
0.247716024518013,
0.030946034938097,
0.7205994129180908,
0.4651707410812378,
-0.2911391854286194,
-0.4089198410511017,
-0.028630273416638374,
-0.055457353591918945,
0.4376757740974426,
... |
TASK DEFINITION: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges... | 0
| 8 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
0.00838431902229786,
0.3407857120037079,
-0.5953916311264038,
-0.6822767853736877,
0.0022725544404238462,
0.2016185224056244,
0.5020363330841064,
0.2127741426229477,
-0.08845280855894089,
0.05252331122756004,
-0.9054394960403442,
0.3840084373950958,
-0.053078144788742065,
-0.17467977106571... |
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 .
Statement: <MASK> চহৰ অসমৰ ৰাজধানী গুৱাহাটীৰ পৰা বাচেৰে প্ৰায় চাৰি ঘণ্টা আৰু বায়ুপথেৰে প্ৰায় 3৫ মিনিটৰ দূৰত্ব... | তেজপুৰ | 0 | NIv2 | task944_wiki_cloze_as_multiple_choice_question_answering | zs_opt | [
0.09957848489284515,
0.8850995898246765,
0.5756029486656189,
-0.2304529845714569,
0.1259644478559494,
-1.056135654449463,
0.19715532660484314,
0.25956863164901733,
0.21038293838500977,
-0.005442348308861256,
0.12857097387313843,
1.0361759662628174,
-0.09005177766084671,
-0.3021631836891174... |
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Q: Tweet: @anonymized_account @anonymized_account @anonymized_account @anonymized_account @anonymized_account Manipulujecie chłopcy, oj nieładnie, nieładnie. , Question: Does the tweet contain cyberbullying ... | No | 4 | NIv2 | task839_cdt_classification | zs_opt | [
-1.3022555112838745,
1.384516716003418,
0.2548348903656006,
0.7883776426315308,
-0.810717761516571,
-0.5467712879180908,
0.8394007682800293,
-0.6743675470352173,
-0.035243500024080276,
0.2824960947036743,
0.08961274474859238,
0.045076433569192886,
-0.7572799921035767,
-0.2581668496131897,
... |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
કોઈ ડાબેરી વળાંક ન કરી શકાય તે માટે એક ખૂબ સાંકડી શેરી... | Gujarati
| 0 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | fs_opt | [
-0.13256700336933136,
0.4947013854980469,
0.301536500453949,
-0.2151297926902771,
-0.07497669756412506,
-0.23464122414588928,
0.2648989260196686,
-0.13546985387802124,
0.2577136754989624,
-0.5785587430000305,
-0.6109170913696289,
0.12996524572372437,
-0.2101040482521057,
0.0023823578376322... |
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Let me give you an example: Context: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoi... | SNPs of the drug transporters for TDF are not associated with clinically important renal outcomes in patients who initiated TDF-containing ART. | 8 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.022175993770360947,
0.5470273494720459,
-0.5264419317245483,
-0.1189553439617157,
0.6676002144813538,
-0.14157234132289886,
0.14896781742572784,
0.6710932850837708,
0.00037981499917805195,
0.19687491655349731,
-0.34603366255760193,
0.04781889542937279,
-0.7605223059654236,
0.523255884647... |
Given the task definition and input, reply with output. A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
সন্ত কবীরের পরম্পরা সহ উত্তর প্রদেশের আঞ্চলিক ভাষা, উপভাষা ও লোকশিল্পের নিদর্শনগুলিকেও সেখানে সংরক... | 24 கோடி செலவில் கட்டப்படவுள்ள துறவி கபீர் கல்விக் கழகம், துறவி கபீரின் பாரம்பரியத்தை பாதுகாக்கும் அமைப்பாக உருவாகும் என்றும், அதேபோல், உத்தரபிரதேசத்தின் பிராந்திய மொழிகளையும், நாட்டுப்புறக் கலைகளையும் பாதுகாக்கும் என்றும் பிரதமர் தெரிவித்தார். | 5 | NIv2 | task981_pib_translation_bengali_tamil | zs_opt | [
-1.0155576467514038,
0.7943686842918396,
0.1687033474445343,
0.29524803161621094,
-0.0654822364449501,
-0.9278915524482727,
-0.150107279419899,
0.12329364567995071,
-0.33940190076828003,
-0.07044854760169983,
-0.4911488890647888,
0.514872670173645,
-0.16116073727607727,
0.3598872125148773,... |
Teacher:A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: The Prime Minister said 70 years of diplomatic relations between the two countries have ... | ଏହି ଅବସରରେ ରାଜନାଥ ସିଂହ କହିଲେ ଯେ, ବାମପନ୍ଥୀ ଉଗ୍ରବାଦୀଙ୍କ ଆତଙ୍କ ରୋକିବା ପାଇଁ, ଜମ୍ମୁ-କାଶ୍ମୀର ଏବଂ ଉତ୍ତର-ପୂର୍ବର ସମସ୍ୟା ଦୂର କରିବାକୁ ସରକାର ଅନେକ ପଦକ୍ଷେପ ନେଇଛନ୍ତି । ନିରାପତ୍ତା ଏବଂ ବିକାଶକୁ ସରକାର ଯଥାସମ୍ଭବ ଗୁରୁତ୍ୱ ଦେଇ ଆସିଛନ୍ତି । | 6 | NIv2 | task987_pib_translation_english_oriya | zs_opt | [
0.09787225723266602,
1.0257508754730225,
0.28971537947654724,
-0.7778544425964355,
-0.058969125151634216,
-0.8650696873664856,
1.1574406623840332,
0.19804169237613678,
0.37457895278930664,
-0.30264225602149963,
0.6375072598457336,
0.2845362424850464,
-0.9866101145744324,
0.3084233403205871... |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Let me give you an example: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ్డాయి, కానీమోగ్లీఅనేచిన్నబాలుడుకథ కాబట్ట... | That's where he belongs. | 8 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.3182217478752136,
1.1061328649520874,
0.5972273945808411,
-0.1314716339111328,
0.14870235323905945,
-1.1879329681396484,
-0.2998241186141968,
-0.04117801785469055,
-0.49264389276504517,
-0.43092742562294006,
-0.6506381034851074,
-0.0412413626909256,
-0.552228569984436,
-0.32191783189773... |
You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous.
... | Output: joy
| 2 | NIv2 | task1663_cedr_ru_incorrect_classification | fs_opt | [
-0.49998459219932556,
0.542679488658905,
0.3292526304721832,
-0.4813714623451233,
-0.7588649988174438,
-0.033320508897304535,
0.13947167992591858,
0.7522746324539185,
0.18923498690128326,
-0.26465240120887756,
-0.3217109441757202,
-0.31276917457580566,
-0.33821383118629456,
-0.028847867622... |
You will be given a context and a verb separated with a newline character, and you have to answer if the given verb is a negation or not. A verb is a negation if it is not going to exist, not happen, or has no effect. The output should be "Yes" if the verb is a negation and "No" otherwise.
--------
Question: On Sunday,... | Yes
| 7 | NIv2 | task458_matres_negation_classification | fs_opt | [
-0.09197437018156052,
0.3474065661430359,
0.18528935313224792,
0.3225069046020508,
0.02371804788708687,
-0.8135899901390076,
0.7117472290992737,
0.8759416341781616,
-0.10090633481740952,
0.9582083225250244,
-0.0010497267358005047,
0.6708791851997375,
-0.9151384830474854,
0.0799191594123840... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Person1: I'm really sorry , Bob . I accidentally damaged your bik... | 0 | 0 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
-0.061396583914756775,
0.08236922323703766,
0.05762546882033348,
-0.22792577743530273,
0.10105490684509277,
0.06938692182302475,
1.0315313339233398,
-0.03289077430963516,
0.540812611579895,
-0.3648068308830261,
-0.4373108148574829,
-0.33259499073028564,
0.25222495198249817,
0.0415322445333... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct ... | (C) | 6 | NIv2 | task268_casehold_legal_answer_generation | fs_opt | [
0.49369698762893677,
0.3119596838951111,
-0.41852375864982605,
0.08734030276536942,
0.47566139698028564,
-1.1448519229888916,
0.30774834752082825,
0.9802377223968506,
-0.2646014392375946,
0.14055782556533813,
-0.37986040115356445,
0.5021927356719971,
-0.6062542796134949,
0.1572280824184417... |
Instructions: In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Input: ['s', '445', '105', '401', 'e', '63', 'b', '393', '247']
Output: | 0, 1, 2, 3, 4, 5, 6, 7, 9 | 3 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | zs_opt | [
-0.004634414333850145,
-0.026235666126012802,
-0.8511849641799927,
-0.11707420647144318,
-0.12372516095638275,
0.33228784799575806,
1.0345948934555054,
-0.10844215750694275,
-0.6251354813575745,
0.5052324533462524,
-0.7522302865982056,
0.044146306812763214,
-0.33656179904937744,
-0.5076235... |
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Example Input: Sentence1: 'a person in the air on a snowboard doing a jumping trick and clouds covering the sun in the sky', Sentence2: 'two empty buses are parked next to each other'. Is the frequency of the... | Yes
| 3 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.5155985355377197,
0.5742138624191284,
-0.49608224630355835,
-0.030026517808437347,
0.16113406419754028,
-0.043266661465168,
0.5598607659339905,
1.212609887123108,
0.02411186508834362,
-0.24059170484542847,
-0.7158473134040833,
-0.2637414336204529,
-0.01992463693022728,
0.078231342136859... |
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
--------
Question: Verify if the sentiment of the following document towards the entity Yohannes Tesfagabr is... | no
| 7 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
0.41114240884780884,
-0.09407834708690643,
-0.5289761424064636,
0.1401679813861847,
0.704227089881897,
-0.16193926334381104,
0.7604811191558838,
0.6592497825622559,
-0.20414263010025024,
-0.023050963878631592,
-0.1435784101486206,
0.9490054845809937,
-0.33607208728790283,
-0.05080433562397... |
A text is given in Urdu. Translate it from the Urdu language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: جناب نیرج کمار جھا
A: | श्री अमित कुमार | 4 | NIv2 | task990_pib_translation_urdu_marathi | zs_opt | [
0.5066335201263428,
0.9111855030059814,
0.27854812145233154,
-0.133600115776062,
-0.22022950649261475,
-1.172217607498169,
1.23630690574646,
-0.09933601319789886,
0.617333173751831,
-0.6348166465759277,
-0.19092798233032227,
0.14133886992931366,
-1.3307905197143555,
0.6472060680389404,
0... |
You will be given a definition of a task first, then some input of the task.
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 ... | blue_suitcase | 1 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
0.4620688855648041,
-0.1258934736251831,
-0.3659750521183014,
0.15826155245304108,
0.008330609649419785,
-0.4979957640171051,
-0.49730610847473145,
0.6492570042610168,
-0.3748847246170044,
-0.002808541292324662,
0.048405177891254425,
0.5242614150047302,
-0.3210476040840149,
0.1282564699649... |
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
Example in... | Not Funny | 3 | NIv2 | task495_semeval_headline_classification | fs_opt | [
-0.15089602768421173,
0.5630984902381897,
0.4288029670715332,
0.020529083907604218,
-0.28889769315719604,
-0.5338606238365173,
0.4899539351463318,
0.810400128364563,
0.2582969069480896,
0.4253130555152893,
-0.813319206237793,
-0.3052350580692291,
-0.8061578869819641,
0.00018163409549742937... |
You will be given a definition of a task first, then some input of the task.
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
... | [43, 165, 30, 191, 137, 8, 128] | 1 | NIv2 | task125_conala_pair_differences | zs_opt | [
-1.0877206325531006,
0.3191612958908081,
-0.4655993580818176,
0.038759104907512665,
-0.27356788516044617,
0.4376773238182068,
0.9869986772537231,
0.326917439699173,
0.6204838156700134,
0.017340930178761482,
-0.15403971076011658,
-0.5731902122497559,
-0.16003257036209106,
0.2948244214057922... |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate yo... | Output: Response 2
| 2 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.921535849571228,
0.42570239305496216,
0.025463413447141647,
0.38270267844200134,
0.15668895840644836,
-1.0543060302734375,
0.5873223543167114,
0.6621989011764526,
-0.0412382036447525,
-0.21735219657421112,
-0.6984577178955078,
0.1373610496520996,
-0.6757670044898987,
-0.17952069640159607... |
Part 1. Definition
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a... | Fault movement causes the ground to shake. | 7 | NIv2 | task038_qasc_combined_fact | fs_opt | [
0.01720353402197361,
0.6748366355895996,
-0.36708545684814453,
-0.18648400902748108,
0.03916887938976288,
-1.160170555114746,
-0.06533472239971161,
1.4978502988815308,
-0.7742482423782349,
-0.07043969631195068,
-1.1452407836914062,
0.894981861114502,
-0.43672704696655273,
-0.25450482964515... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
One example is below.
Q: what is the first event mentioned?, Context: The Russian Revolution is the series of revolutions in Russia in 1917, which destroyed the Tsarist autocracy and led to the crea... | Logan Square | 9 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.8902719020843506,
0.6084709763526917,
-0.46762821078300476,
-0.07357484102249146,
0.21775412559509277,
-0.19971974194049835,
0.7829550504684448,
1.6876471042633057,
0.4987497627735138,
0.5424898862838745,
-0.3112499713897705,
0.025179244577884674,
-0.9856001138687134,
-0.2197955101728439... |
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... | green_bottle | 2 | NIv2 | task154_tomqa_find_location_hard_noise | zs_opt | [
-0.0026016049087047577,
-0.30424177646636963,
-0.34656190872192383,
0.19834904372692108,
-0.31490641832351685,
-0.728351354598999,
-0.2473091185092926,
1.0861625671386719,
0.1132013201713562,
0.14567632973194122,
-0.7088576555252075,
0.9009544849395752,
0.34882423281669617,
-0.006741301156... |
Teacher:In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to th... | 3 | 6 | NIv2 | task200_mnli_entailment_classification | zs_opt | [
0.29851049184799194,
-0.23735305666923523,
-0.04601343721151352,
0.2778737545013428,
0.2668576240539551,
-0.32606640458106995,
0.4356374740600586,
1.123855710029602,
-0.1946275681257248,
0.4090134799480438,
0.19712494313716888,
0.02757771499454975,
-0.4588503837585449,
-0.9615474939346313,... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: According to the Rules of Procedure, you are not ... | Enligt arbetsordningen har parlamentet ingen skyldighet att svara. | 9 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.28480416536331177,
0.6408475637435913,
0.7882787585258484,
-0.8648845553398132,
0.301166296005249,
-0.44865572452545166,
0.8829940557479858,
0.232081338763237,
0.3773118853569031,
-0.05238548666238785,
-0.09996539354324341,
0.26539987325668335,
-0.48683804273605347,
0.1424342393875122,
... |
Instructions: In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note... | (3, 4) | 3 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.30258315801620483,
0.735198974609375,
-0.13883540034294128,
-0.42060452699661255,
0.10218043625354767,
-0.21990010142326355,
0.43014249205589294,
0.33779168128967285,
0.11936688423156738,
-0.2681867182254791,
0.16270534694194794,
-0.3043556213378906,
-0.01129939779639244,
0.247283726930... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: Quanto abbiamo speso in Afghanistan quest'anno?
Student: | O que gastámos no Afeganistão este ano? | 6 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-0.17401450872421265,
0.6230313181877136,
0.039475128054618835,
-0.6210286617279053,
-0.2645474672317505,
-1.0024383068084717,
-0.5079253315925598,
0.4789803624153137,
0.41002434492111206,
0.2927514910697937,
-0.49731525778770447,
-0.4856705963611603,
-0.8820617198944092,
-0.21113851666450... |
Teacher:Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Teacher: Now, understand the problem? Solve this instance: Then tax demolition and gentrification at a rate that will suppress the increase in the growth rate.
Student: | No | 6 | NIv2 | task1725_civil_comments_severtoxicity_classification | zs_opt | [
-0.948814868927002,
0.6329977512359619,
0.4776497483253479,
-0.012912821024656296,
-0.6557883024215698,
-0.8497042655944824,
0.06168017536401749,
1.0776835680007935,
0.20157727599143982,
0.13399837911128998,
-0.30960485339164734,
-0.2893321216106415,
-0.2837495803833008,
-0.644171953201294... |
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.
One example is below.
Q: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
A: positive
Rationale: There is an expression of happin... | positive | 9 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.1700940132141113,
-0.2502308785915375,
0.7670124173164368,
0.469188928604126,
0.6319152116775513,
-1.1193339824676514,
-0.1182839423418045,
0.28124287724494934,
0.47370776534080505,
0.8259133100509644,
-0.6321356296539307,
-0.7941193580627441,
-0.2988642752170563,
-0.7436375617980957,
... |
We would like you to classify each of the following sets of argument pairs (discussing Gay Marriage) 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 FACET. A FA... | Not similar | 9 | NIv2 | task147_afs_argument_similarity_gay_marriage | fs_opt | [
-0.5827350616455078,
0.5956025123596191,
0.15063776075839996,
0.2537492513656616,
0.3886929154396057,
-0.48298412561416626,
0.06693319976329803,
0.9596105217933655,
-0.08594900369644165,
-0.024364635348320007,
-0.8699947595596313,
0.5090765953063965,
-0.8613232374191284,
-0.584015011787414... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Q: همه ی این چیز ها واقعاً منو شگفت زده کردن ، چون به این نکته رسیدم که تجربه ی نابینایی من خیلی بیشتر از تجربه بینایی بود که تا اون موقع داشتم حس های بیشتری رو به من داد.
A: Todo esto realmente me sorprendió, porque empecé... | Permítanme leerles: (Risas) "" AAG, AAT, ATA "".
****
| 4 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.7035815715789795,
0.4606083631515503,
-0.05753196403384209,
0.17287370562553406,
-0.6148591637611389,
-0.8832823038101196,
0.34197911620140076,
0.7424130439758301,
0.8400880098342896,
-0.1919449269771576,
-0.36862027645111084,
0.3214132785797119,
-0.38476264476776123,
0.842646062374115,... |
Detailed Instructions: Given a scientific question, generate a correct answer to it.
Problem:The earth is like organisms in that it maintains a stable state, which is also known as what?
Solution: | homeostasis | 8 | NIv2 | task591_sciq_answer_generation | zs_opt | [
1.0383903980255127,
1.059363603591919,
-0.5946966409683228,
0.12803120911121368,
-0.590984582901001,
-1.5318185091018677,
0.5594662427902222,
0.36310631036758423,
-0.32762208580970764,
0.3153347074985504,
-0.7162432074546814,
-0.12234575301408768,
-0.7245626449584961,
-0.026723574846982956... |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
a person standing in front of a mirror with his reflec... | English | 0 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | zs_opt | [
-0.21339668333530426,
0.6000105142593384,
0.4920731484889984,
-0.39189088344573975,
0.1627146303653717,
-0.2881588339805603,
0.18511474132537842,
-0.15081414580345154,
0.5262479782104492,
-0.5833878517150879,
-0.33780908584594727,
-0.0008902823319658637,
-0.7008157968521118,
0.171631813049... |
In this task, you need to replace a letter in the sentence with another given letter.
Ex Input:
Sentence: 'a man dressed in a knight costume riding a horse performing at a show'. Replace the letter 'e' with 'j' in the sentence.
Ex Output:
a man drjssjd in a knight costumj riding a horsj pjrforming at a show
Ex Inpu... | a flock of diffezent colozed sheep hanging out and eating gzass
| 1 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
0.07376386225223541,
0.355937123298645,
-0.05066623538732529,
0.29239213466644287,
0.042090341448783875,
-0.4362436532974243,
0.6373199224472046,
0.8191819190979004,
-0.2701481580734253,
-0.4818984270095825,
-0.5252734422683716,
0.44671016931533813,
-0.8544735312461853,
-0.1709756255149841... |
Given the task definition and input, reply with output. A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
48 കിലോമീറ്റര്) 11 സ്റ്റേഷനുകള് അടങ്ങിയതും (3 ഉയര്ുനില്ക്കുതും 8 എണ്ണം ഭൂഗര്ഭവും).
| 20 किमी भुयारी असेल तर 5. 48 किमी उन्नत मार्ग असेल. यावर 11 स्थानके असतील. | 5 | NIv2 | task1071_pib_translation_malayalam_marathi | zs_opt | [
0.573858380317688,
0.04912707209587097,
0.2484893798828125,
-0.6899555325508118,
0.23830124735832214,
-0.32541751861572266,
0.404742956161499,
0.1137186735868454,
-0.010906150564551353,
-0.9969531893730164,
-0.5759016275405884,
-0.1744844764471054,
0.0625409334897995,
0.2126363217830658,
... |
Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Input: Así que trajimos mini videocámaras, e hicimos que miraran a la cámara y simplemente se entrevistaran entre sí — sus mensajes, sus pensamientos —.
Output: | پس دوربین های فلیپ را آوردیم ، و از آنها خواستیم که به دوربین نگاه بکنند و پیغام ها و افکارشان را به هم منتقل کنند. | 3 | NIv2 | task1103_ted_translation_es_fa | zs_opt | [
-0.291964590549469,
0.8854197263717651,
-0.42552652955055237,
0.08854023367166519,
-0.1795375496149063,
0.9390267133712769,
0.6067458987236023,
0.6492847204208374,
0.1308515965938568,
0.1761782467365265,
-0.8146200180053711,
-0.14212104678153992,
0.21245303750038147,
0.17490945756435394,
... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | blue_bathtub | 3 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.10225404053926468,
-0.36538782715797424,
-0.2892219126224518,
-0.09085717797279358,
-0.16338159143924713,
-0.502861738204956,
0.37123823165893555,
0.18557825684547424,
-0.06770104169845581,
0.10859934240579605,
-0.2861310839653015,
0.7837098240852356,
0.012526517733931541,
0.158069074153... |
Instructions: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Input: The powerful success of Read My Lips with such provocative material shows why , after only thre... | POS | 3 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-0.793114185333252,
0.5514885187149048,
0.47766900062561035,
-0.908866822719574,
0.3217107057571411,
0.17831888794898987,
0.4311751127243042,
-0.23020142316818237,
-0.07352761924266815,
0.7569190263748169,
-0.3609149158000946,
-0.9636474847793579,
-0.5351334810256958,
-0.32863345742225647,... |
Part 1. Definition
In this task, you will be shown a Persian passage. You need to write a Persian question for the passage. Your question should be answerable based on the passage and only have one correct answer.
Part 2. Example
وارن بافت، (زادهٔ ۳۰ اوت ۱۹۳۰) سرمایهگذار، اقتصاددان، مدیر اجرایی و نیکوکار آمریکایی است،... | تلویزیون چیه؟ | 7 | NIv2 | task394_persianqa_question_generation | fs_opt | [
0.32273855805397034,
0.19547167420387268,
0.09819702804088593,
0.10111981630325317,
0.28629595041275024,
1.2018662691116333,
0.6414176225662231,
0.8696832656860352,
0.5848349332809448,
0.1734287142753601,
-0.48764216899871826,
0.7527084350585938,
-0.719287633895874,
-0.3204652667045593,
... |
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
Example: Fact1: ... | Solution: Matt Sullivan Josh Hartnett and his roommate, Ryan Paulo Costanzo, are coworkers at a San Francisco dotcom company. Matt is obsessed with his exgirlfriend, Nicole Vinessa Shaw, and his obsession repeatedly causes him problems during attempted onenight stands. He has trouble moving on, since Nicole broke up wi... | 5 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.436383992433548,
-0.0026189382188022137,
-0.3485119342803955,
0.6259804964065552,
0.13405142724514008,
-0.8501253724098206,
0.09922568500041962,
1.383561134338379,
-0.5869553685188293,
0.21745353937149048,
-0.43206334114074707,
-0.22329886257648468,
-0.42274707555770874,
0.99284207820892... |
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
--------
Question: The rope is made of rubber, and after about 30 minutes my little 20 lb. terrier had chewed up the rope, thereby eliminating the "tug" part of t... | Negative
| 7 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
-0.36170971393585205,
-0.4761788547039032,
0.207095205783844,
0.46567636728286743,
0.21784648299217224,
-0.23427829146385193,
0.05413684993982315,
0.9240231513977051,
-0.38014423847198486,
0.3596501052379608,
0.590395450592041,
0.02249445766210556,
-0.8686006665229797,
-0.5531470775604248,... |
Detailed Instructions: In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem im... | True | 8 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
-0.651541531085968,
0.09126494079828262,
-0.06612654030323029,
-0.4656989574432373,
-0.28103509545326233,
0.4288899898529053,
0.672919511795044,
0.8439372181892395,
0.6516011953353882,
-0.3689512312412262,
-1.3540143966674805,
-0.400995135307312,
-0.13065585494041443,
0.4966525435447693,
... |
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