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 |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then some input of the task.
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... | ADJ | 1 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.31135958433151245,
-0.08861608058214188,
-0.006845122668892145,
0.06163845956325531,
-0.046024564653635025,
-0.3885349631309509,
0.6669463515281677,
0.6309564709663391,
-0.08855738490819931,
-0.04959540069103241,
-0.5340219736099243,
0.16911140084266663,
-0.4078962802886963,
0.2591487765... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
Q: And that's just on air.
A: | و همه چیز به صورت زنده پخش می شود. | 4 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-0.2746654152870178,
1.4708126783370972,
0.14005160331726074,
-0.6484169960021973,
0.09268606454133987,
0.93727707862854,
0.23421964049339294,
1.110090732574463,
-0.10220776498317719,
-0.08646862953901291,
-0.5327549576759338,
-0.05734628438949585,
-0.2872774004936218,
-0.3840387165546417,... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: Pomyślmy, co naprawdę się dzieje.
Student: | 実際に何が起こっているかを考えてみましょう | 6 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-0.2556638717651367,
0.21030670404434204,
0.4858761429786682,
-0.3320799171924591,
-0.12654882669448853,
-0.6616741418838501,
0.34447216987609863,
0.2131730616092682,
0.5543068647384644,
-0.12317027151584625,
0.05782289803028107,
-0.05956609547138214,
-0.5722242593765259,
-0.40079033374786... |
In this task, you need to 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 'ADJ'... | NUM
| 5 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.7995727062225342,
0.29976123571395874,
-0.18956638872623444,
-0.06874042004346848,
0.07278573513031006,
-0.5790929198265076,
0.75519859790802,
0.8568644523620605,
-0.5353713035583496,
-0.2516750395298004,
-0.1494237780570984,
0.09813801944255829,
-0.5056387186050415,
0.46882861852645874,... |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Q: Caves form in karstic regions.
A: | تكوين من الكهوف في مناطق الكارستك. | 4 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
0.9064950942993164,
0.5781521797180176,
0.1967690885066986,
-0.20780202746391296,
0.0462452732026577,
0.2711482644081116,
0.19847393035888672,
0.626044750213623,
-0.323535680770874,
-0.15353518724441528,
0.028022320941090584,
-0.2952881455421448,
-0.8561977744102478,
0.32794874906539917,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
One example is below.
Q: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
A: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Rationale: The Japanese sentence is correctly... | مثال دیگر مکانیک کوانتومی در زیست شناسی ، انسجام کوانتومی است ، در یکی از مهمترین فرایندها در زیست شناسی ، فتوسنتز: گیاهان و باکتری ها نور خورشید را می گیرند ، و از آن انرژی برای تولید زیست توده استفاده می کنند. | 9 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
0.6706320643424988,
0.9959313273429871,
-0.4186176657676697,
-0.21296286582946777,
-0.692552924156189,
-0.6747750043869019,
1.1196811199188232,
0.17391251027584076,
-0.26174426078796387,
-0.12475494295358658,
-0.6384373903274536,
0.2989855408668518,
-1.0352613925933838,
0.5423508882522583,... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Input: Consider Input: Tagalog sentence: Ang sitwasyon ay mas masahol sa pamamagitan ng Doppler's complaining mag-aaral na siya ay masyadong magaspang sa kanyang pagsusuri.
Output: The... | Output: 3:15 And Isboseth sent, and took her from her husband Phaltiel, the son of Lais.
| 2 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
0.17263980209827423,
0.31633394956588745,
-0.7344033718109131,
-0.243197962641716,
0.15958738327026367,
-0.5666497945785522,
0.5069488883018494,
1.0498307943344116,
0.735034704208374,
-0.09057771414518356,
-0.7450131177902222,
0.6322425603866577,
-0.8602923154830933,
-0.12139348685741425,
... |
Detailed Instructions: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
See one example below:
Problem: [-83, 53, -48, 8]
Solution: [-80, 50, -50, 10]
Explanation: The output correctly rounds... | [230, -500] | 4 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.3083386719226837,
0.35624629259109497,
-0.5920150279998779,
-0.18599441647529602,
-0.08465826511383057,
-0.5341967940330505,
1.3624132871627808,
-0.14744889736175537,
0.06760259717702866,
0.37879490852355957,
-0.5806741118431091,
-0.07136064022779465,
-0.32776638865470886,
0.02447264268... |
Part 1. Definition
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
Part 2. Example
3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Answer: a, ... | 9139, R, 1189, 843, M, 8337, F, 7095 | 7 | NIv2 | task063_first_i_elements | fs_opt | [
0.3530880808830261,
0.09748680889606476,
-0.23123614490032196,
-0.5741366147994995,
0.08856716752052307,
0.07561489939689636,
0.7274396419525146,
0.40674301981925964,
0.23081117868423462,
-0.10873071849346161,
-1.24014151096344,
-0.31137025356292725,
-0.01168711856007576,
-0.40084201097488... |
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. i and j will be... | 14050
| 3 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
0.25027936697006226,
-0.027697306126356125,
-0.7415339946746826,
-0.3538805842399597,
-0.0690869465470314,
-0.21531900763511658,
0.7772170305252075,
0.4383305013179779,
-0.5936520099639893,
0.24730822443962097,
-0.8949716687202454,
0.2817189693450928,
0.066100113093853,
0.02474683523178100... |
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.
Q: Waaah, I am so bored :| Mom's watching Prison Break. )
A: negative
****
Q: Just reported a beached whale on the ocean side between 61st and 62nd in Long... | positive
****
| 4 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.1251816749572754,
0.1926552951335907,
0.7590060234069824,
0.2391916811466217,
0.5199136734008789,
-0.9282665252685547,
-0.7305418252944946,
0.8610276579856873,
0.6323772072792053,
0.7438640594482422,
-0.5240141153335571,
-0.8857128024101257,
-0.2376093864440918,
-0.742708683013916,
-0... |
Teacher:Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate eithe... | Completion B | 6 | NIv2 | task156_codah_classification_adversarial | zs_opt | [
-0.4671204686164856,
0.5077886581420898,
-0.20585884153842926,
-0.506757378578186,
-0.38108980655670166,
0.021071836352348328,
0.7654757499694824,
0.3143269121646881,
0.04695818945765495,
-0.40845590829849243,
-0.41851523518562317,
-0.370909184217453,
0.21325255930423737,
0.073607563972473... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choi... | ab
| 0 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
0.048432379961013794,
0.2361564189195633,
0.1095522791147232,
0.08114998042583466,
0.2300841063261032,
-0.2116973102092743,
-0.0015627117827534676,
1.3802464008331299,
0.01024720724672079,
0.19868966937065125,
-0.463664174079895,
-0.3733559250831604,
-0.3841443657875061,
-0.726595103740692... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
[EX Q]: English sentence: 35 Then a certain man of the sons of the prophets said to his companion in the word of the Lord: Strike me. But he would not strike.
[EX A]: 35 Oo nin qoonkii ne... | 4:13 Laakiin wuxuu ku yidhi, "Waxaan idinka baryayaa, Rabbiyow, diri cidduu kale kuu soo diri doono. "
| 6 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
-0.17986950278282166,
0.8283025026321411,
0.05014066398143768,
-0.9115675091743469,
-0.42053598165512085,
-0.589474081993103,
0.23703275620937347,
0.14508582651615143,
0.10834459960460663,
-0.13962402939796448,
-0.44228023290634155,
0.4471721649169922,
-0.8933993577957153,
-0.6093291044235... |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Ex Input:
Sentence: Located near the riverside, xname is a French restaurant that ha... | cuisine[Italian], eattype[coffee shop], familyFriendly[no]
| 1 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.0019200334791094065,
-0.5272156000137329,
-0.1755962073802948,
-0.06056119501590729,
-0.04559469223022461,
-0.13385283946990967,
0.8889586925506592,
1.0799205303192139,
0.09903037548065186,
-0.41596800088882446,
0.9829461574554443,
0.12566423416137695,
-0.3004637062549591,
-0.5577417612... |
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.
Ex Input:
3, 8, ['l', '937', 'c', '3755', '5805', '9853', 'g', '... | T, 5317, 6847, M, 3623
| 1 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.10714765638113022,
-0.3236329257488251,
-0.9109311103820801,
-0.40758681297302246,
-0.44389355182647705,
-0.6187555193901062,
0.31611165404319763,
0.3247983455657959,
-0.5373242497444153,
0.2526894211769104,
-0.6890395879745483,
-0.15980610251426697,
0.3317825198173523,
0.254296571016311... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
--------
Question: PersonX provides the ___ with informat... | comfortable
| 7 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.4961000680923462,
0.8274483680725098,
-0.09243889153003693,
-0.5940467715263367,
-0.8643646836280823,
-0.692549467086792,
1.4800431728363037,
0.7710788249969482,
-0.11756596714258194,
-0.9210240840911865,
0.039740268141031265,
0.10261459648609161,
-0.9153608679771423,
0.5223249197006226... |
Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Input: Em primeiro lugar, podem dar mais controlo aos seus colaboradores e clientes.
Output: | En primer lugar, pueden dar más control a los empleados y clientes. | 3 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.5278502106666565,
1.0141123533248901,
-0.32246845960617065,
-0.6335545778274536,
-0.40266621112823486,
-0.19291585683822632,
0.015424225479364395,
0.9786421656608582,
1.169093132019043,
-0.22277700901031494,
-0.5962995886802673,
-0.07903295010328293,
-0.35534220933914185,
-0.15473325550... |
Instructions: 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 Catala... | En cuanto al ejercicio de las leyes, le concedieron la gracia de considerarla una profesión bastante decorosa; muchos jóvenes con despachos en alguna Asociación de Abogados de Londres han logrado una muy buena llegada a los círculos más importantes, y se pasean por la ciudad conduciendo calesas muy a la moda. | 3 | NIv2 | task1652_opus_books_ca-en_translation | zs_opt | [
0.3098422586917877,
1.550788402557373,
-0.4778401553630829,
-0.317808598279953,
-0.19555269181728363,
-1.6104856729507446,
0.45419129729270935,
0.20153753459453583,
-0.34890979528427124,
-0.14970198273658752,
-0.10552692413330078,
0.8109632730484009,
-1.196082592010498,
-0.4212435781955719... |
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 simplicity, answers should be in all lower cased letters.
Input: Category: ORGANIZATIONS
Clue: The president of this social club founded by ... | friars\' club | 2 | NIv2 | task307_jeopardy_answer_generation_final | zs_opt | [
-0.17061945796012878,
0.5807912349700928,
-0.1302836537361145,
0.3180692493915558,
-0.23123447597026825,
0.3469579517841339,
0.9629286527633667,
-1.0427035093307495,
0.6499072313308716,
0.3648647665977478,
-0.9266278743743896,
-0.07767918705940247,
-0.8174628019332886,
0.391874223947525,
... |
Q: A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
വെള്ളപ്പൊക്കത്തെ തുടര്ന്നുണ്ടായ നാശനഷ്ടങ്ങള് പരിഹരിക്കുന്നതിന് കേന്ദ്രം എല്ലാ പിന്തുണയും ഉറപ്പ് നല്കിയതായും സ്ഥിതിഗതികള് സസൂക്ഷ്മം നിരീക്ഷിച്... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਟਵੀਟ ਕੀਤਾ ਕਿ ਹੜ੍ਹਾਂ ਦੀ ਸਥਿਤੀ ਨਾਲ ਨਿਪਟਣ ਲਈ ਕੇਂਦਰ ਨੇ ਬਿਹਾਰ ਸਰਕਾਰ ਨੂੰ ਹਰ ਤਰ੍ਹਾਂ ਦੀ ਹਿਮਾਇਤ ਦਾ ਭਰੋਸਾ ਦਿੱਤਾ ਹੈ ਅਤੇ ਸਥਿਤੀ ‘ਤੇ ਪੂਰੀ ਤਰ੍ਹਾਂ ਨਜ਼ਰ ਰੱਖੀ ਜਾ ਰਹੀ ਹੈ । | 7 | NIv2 | task1005_pib_translation_malayalam_punjabi | zs_opt | [
-0.6328683495521545,
0.6952403783798218,
0.28551825881004333,
-0.7408987879753113,
0.01691966876387596,
-1.408153772354126,
1.0969501733779907,
0.8027688264846802,
-0.06223705783486366,
-0.16837278008460999,
-0.15249121189117432,
-0.2594231367111206,
-0.35642945766448975,
0.968501627445221... |
Detailed Instructions: In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an adjunct island or as an incorrect representation. A correct representation should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation... | bad | 8 | NIv2 | task1559_blimp_binary_classification | zs_opt | [
-0.15404585003852844,
1.1170706748962402,
0.2113877832889557,
-0.6346301436424255,
-0.34997838735580444,
-1.5646862983703613,
0.4797382056713104,
0.02244364097714424,
0.18463167548179626,
0.20673558115959167,
0.1651860475540161,
0.25828129053115845,
-0.44042086601257324,
0.2056048214435577... |
Definition: From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Input: Given Relationship: 'be city in', Sentence: 'Quickly locate Rental Cars in Keene and other cities throughout New Hampshire . . .'
Output: | cities | 2 | NIv2 | task678_ollie_actual_relationship_answer_generation | zs_opt | [
-0.1038672924041748,
0.42808422446250916,
0.24139493703842163,
-0.6261470317840576,
-0.19284288585186005,
-0.4179178774356842,
-0.08669637143611908,
1.3314085006713867,
0.19185107946395874,
0.16818568110466003,
-0.09223076701164246,
0.2552758753299713,
-0.8901300430297852,
0.33132815361022... |
Q: 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 corre... | (D) | 7 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.2076442539691925,
0.055376194417476654,
0.04325036332011223,
-0.2841425836086273,
0.26794397830963135,
-1.1438195705413818,
0.510972797870636,
1.4165760278701782,
-0.11633822321891785,
-0.3013043999671936,
-0.22908544540405273,
0.15217989683151245,
-0.3214834928512573,
0.3298770785331726... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
One example: For four years we have waited ... | ART | 6 | NIv2 | task339_record_answer_generation | fs_opt | [
0.2606547176837921,
0.47887271642684937,
-0.445418119430542,
0.027656253427267075,
0.14880019426345825,
0.15109509229660034,
0.20075474679470062,
1.0490062236785889,
-0.19368593394756317,
0.8266861438751221,
-0.2171979546546936,
0.6672850251197815,
-0.9533900022506714,
0.31110700964927673,... |
Definition: 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 initial cont... | She decided she needs a new company. | 2 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.08663131296634674,
-0.05334475636482239,
0.09140900522470474,
0.35098761320114136,
0.13173867762088776,
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-0.12779918313026428,
-0.5003405213356018,
-0.4066351652145386,
0.5248003602027893,
0.009426042437553... |
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.
How do I know my UAN number from my PF number?
How do I check my UAN number?
Which is the best way to create personal website for a developer?
How can someon... | What are the best TTC apps for an Android device?
| 0 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-0.719700038433075,
0.10710334777832031,
-0.805799126625061,
-1.1037805080413818,
-0.6140224933624268,
-0.3900831341743469,
0.8187112212181091,
-0.14176049828529358,
-0.3789999186992645,
0.7914541363716125,
-0.7982051372528076,
0.6431189775466919,
-1.0925602912902832,
0.0016495862510055304... |
Detailed Instructions: In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
Q: Allegiant Air is an American low-cost airline that operates sch... | Allegiant Air is an American lowcost airline that operates scheduled and charter flights. | 9 | NIv2 | task192_hotpotqa_sentence_generation | zs_opt | [
-0.812681257724762,
0.9789758324623108,
0.1376188099384308,
-0.04848426580429077,
-0.05207844078540802,
0.4745483994483948,
0.522729754447937,
-0.0396086759865284,
0.21811443567276,
0.19500409066677094,
0.3172704577445984,
-0.040893442928791046,
-0.360435426235199,
-0.3371773660182953,
0... |
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence an... | [['1966', 'DESIGNER', 'Michèle Rosier of V de V (coat) Young Jaeger (dress) Simone Mirman (hat) Elliott (boots) John Bates for Echo (tights)'], ['[TABLECONTEXT]', 'YEAR', '1966'], ['1966', 'SELECTED_BY:', 'Ernestine Carter'], ['[TABLECONTEXT]', '[TITLE]', 'Dress of the Year']]
| 1 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
0.08363425731658936,
-0.06831387430429459,
-0.744800329208374,
0.41552942991256714,
0.11047456413507462,
-0.7403252124786377,
0.9981409311294556,
0.24087145924568176,
0.17937904596328735,
-0.33447226881980896,
-0.6339501142501831,
0.5799428224563599,
-0.29039132595062256,
0.221651062369346... |
Detailed Instructions: Given a sentence in French, generate a new French 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 reasonabl... | Vous autoriseriez les fruits frais et les cacahuètes parce que vous voulez les cuire vous-même. | 4 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | fs_opt | [
-0.07058051973581314,
0.7369564771652222,
0.1713692843914032,
-0.12008976936340332,
0.14400404691696167,
-0.46603924036026,
0.6321856379508972,
0.36006683111190796,
-0.03860531002283096,
-0.31536224484443665,
-0.6447187662124634,
-0.3042379915714264,
-0.2785835266113281,
0.3074906766414642... |
This task is to translate a news commentary given in Italian language into Zhuang 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.
Example input: Cosa è andato storto nel 2008?
Example output... | 事实上，这样的挑衅行为在中国领导人访问印度前经常发生。事实上，2006年胡锦涛主席访问印度前夕，中国重新声称其对印度东北部大邦——阿鲁纳恰尔邦拥有主权。 | 3 | NIv2 | task1376_newscomm_translation | fs_opt | [
-0.8070340752601624,
0.1870618760585785,
-0.35009169578552246,
0.12124593555927277,
-0.6045022010803223,
-0.5356869697570801,
0.2742581069469452,
0.549142599105835,
-0.5337995886802673,
-0.22120323777198792,
-0.5520720481872559,
0.6197465658187866,
0.2289545089006424,
-0.12433192133903503,... |
Definition: Translate the given Spanish text to English
Input: (I) has a molecular wt.
Output: | DSM 2562, MICROCOCCUS SPEC. | 2 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
0.46956363320350647,
0.9045755863189697,
-0.7636603713035583,
-0.5301886796951294,
0.058154959231615067,
-0.4934707283973694,
-0.21353593468666077,
0.08947284519672394,
0.2777271270751953,
0.3232612609863281,
-0.47938087582588196,
-0.2308199256658554,
0.21343687176704407,
-0.28359359502792... |
Detailed Instructions: You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-s... | stereotype | 8 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.2895995080471039,
0.2758258879184723,
0.06447701901197433,
0.16103598475456238,
0.0010642404668033123,
-0.5076526403427124,
0.5853725671768188,
0.5592473745346069,
0.3786677122116089,
-0.20438545942306519,
-0.7271538972854614,
-0.26539915800094604,
-0.5303037762641907,
0.109325677156448... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Example Input: متوجه تفاوت می شید ؟
Example Output: Escoitan a diferenza?
Example Input: ضبط پیام صوتی: اولین پیام صوتی ذخیره شده
Example Output: Mensaxe de voz: primeira mensaxe de voz gardada
Example Input: وقتی این کار... | Cando o facemos, atopamos que a xente que xoga a xogos de acción e moi, moi boa.
| 3 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-0.1794443130493164,
1.155405879020691,
-0.34455496072769165,
-0.09730803966522217,
-0.6537137031555176,
-1.084439992904663,
0.7328129410743713,
0.5487760901451111,
0.2978607416152954,
-0.33562010526657104,
-0.4869435429573059,
0.0075883809477090836,
-0.6363286375999451,
0.0754319205880165... |
Given the task definition, example input & output, solve the new input case.
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, Per... | Yes | 1 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.13945327699184418,
-0.29131218791007996,
0.5488957166671753,
0.050775133073329926,
-0.044720083475112915,
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0.9506956934928894,
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-0.36745715141296387,
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-0.8071972131729126,
-0.09560193... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (... | A | 0 | NIv2 | task296_storycloze_correct_end_classification | fs_opt | [
0.623904824256897,
0.5979613065719604,
-0.16087526082992554,
0.11719439178705215,
0.05739980563521385,
-0.818861722946167,
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0.5596563816070557,
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0.25536173582077026,
-0.5541710257530212,
-0.2729324400424957,
0.3345656096935272,
-0.14620165526866913,
... |
Q: In this task, you are given a hateful post in English from online platforms. You are expected to classify the post into two classes: aggresive or non-aggresive. An aggresive post is one that expresses feelings and opinions in an abusive way and tries to dominate others. Note that the URLs in the text have been repla... | Aggresive | 7 | NIv2 | task335_hateeval_classification_aggresive_en | zs_opt | [
-0.9867196083068848,
0.24733370542526245,
0.9453226923942566,
0.1296234279870987,
-0.4068145155906677,
-1.1538926362991333,
0.6880195140838623,
0.5478654503822327,
-0.12233933806419373,
0.4548259675502777,
-0.006202583201229572,
0.5594559907913208,
-0.8590689301490784,
-0.3348578214645386,... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Q: 皆さんここは感覚的な部分ですよ
A: | I to jest ta zmysłowa część programu. | 4 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
-0.4179913401603699,
-0.017103273421525955,
0.24007931351661682,
-0.609711766242981,
-0.0005457282532006502,
-1.2938497066497803,
1.037732720375061,
-0.829439640045166,
0.7216298580169678,
-0.565862238407135,
-0.048030704259872437,
0.48602285981178284,
-0.298822820186615,
0.551885008811950... |
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 have red hair.
I like to ride my scooter.
I don T like mu... | Sounds like you are busy. Me too, but I do not like music, waste of time. | 3 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.47373926639556885,
0.5519105195999146,
-0.6188961267471313,
-0.42007726430892944,
-0.1853252351284027,
0.21367532014846802,
0.9812880754470825,
0.2144780158996582,
-0.02274271845817566,
-0.15611480176448822,
-0.23762696981430054,
-0.45252367854118347,
0.07503451406955719,
-0.36981311440... |
instruction:
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
question:
Edit, again: The question seems to have changed, yet again.
answer:
Editează, din nou: Întrebarea pare să se fi schimbat, din nou.
question:
She was the only... | Ciocniri acerbe în estul Siriei în timp ce SUA încurajează tratative de pace
| 9 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.3864293098449707,
0.329881489276886,
0.2563466429710388,
-0.6414747834205627,
0.15154781937599182,
-0.4950120449066162,
0.22193589806556702,
0.8463521003723145,
0.5058445334434509,
0.4006287455558777,
-0.1304977834224701,
0.13588003814220428,
-0.6723223924636841,
0.020851602777838707,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
One example is below.
Q: Così diventa un igloo.
A: این یک خانه ی اسکیمو می شود.
Rationale: The Italian sentence is correctly translated into Farsi, because the meaning is preserved.
Q: I proprietari dei negozi assumono più pe... | و چوپانان افراد بیشتری را استخدام کردند. | 9 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
0.19117307662963867,
0.6014072895050049,
-0.23729881644248962,
-0.40728121995925903,
0.04766730219125748,
-1.307918667793274,
0.8664346933364868,
0.19511151313781738,
0.19194185733795166,
-0.13542750477790833,
-0.605467677116394,
0.6505881547927856,
-0.7839410305023193,
0.3319542407989502,... |
Detailed Instructions: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
P... | 1 | 8 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.7186620831489563,
0.27912262082099915,
0.13101595640182495,
-0.5353540182113647,
-0.38345131278038025,
0.011122971773147583,
0.11630585789680481,
0.0943804532289505,
-0.05962992459535599,
-0.021420249715447426,
-0.9281996488571167,
-0.005756235681474209,
-0.34697800874710083,
-0.1650350... |
Detailed Instructions: You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You ar... | Text two | 8 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.8393486738204956,
0.4721936881542206,
-0.10041327774524689,
-0.22183510661125183,
0.17276392877101898,
-0.44852960109710693,
0.32076704502105713,
0.5871384739875793,
0.11204084008932114,
0.11051180958747864,
-0.22759997844696045,
-0.10885615646839142,
-0.2742355465888977,
-0.05085515230... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Example input: Why? Because that profit allows whatever solution we've created to be infinitely scalable.
Example output: Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproduci... | Non ho mai visto una cosa del genere. | 3 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.47650474309921265,
1.0233982801437378,
0.22428223490715027,
0.21692588925361633,
-0.5873884558677673,
-0.5352284908294678,
0.19517023861408234,
1.3009434938430786,
0.24372011423110962,
-0.004623891785740852,
-0.01684475690126419,
0.7351415157318115,
-0.6211596727371216,
0.14848518371582... |
Part 1. Definition
We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topi... | Valid | 7 | NIv2 | task149_afs_argument_quality_death_penalty | fs_opt | [
0.4523860514163971,
0.3263082802295685,
0.4553452134132385,
0.10442957282066345,
-0.6488618850708008,
-1.9275360107421875,
0.7718636393547058,
0.2069638967514038,
-0.12039437890052795,
0.10317184031009674,
-0.6367589235305786,
-0.17378804087638855,
-0.6032769083976746,
0.5716541409492493,
... |
Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur before t2, t1... | True
| 5 | NIv2 | task1507_boolean_temporal_reasoning | fs_opt | [
0.019746240228414536,
0.015521075576543808,
-0.8090783357620239,
0.6829291582107544,
-0.6219533681869507,
-0.5529192686080933,
-0.02469545230269432,
0.8814047574996948,
-0.7293117642402649,
0.1398514211177826,
-0.3932129740715027,
0.017449093982577324,
-0.2696298062801361,
-0.5611510872840... |
Teacher:In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a` fo... | b | 6 | NIv2 | task232_iirc_link_number_classification | zs_opt | [
0.9961538314819336,
0.20018842816352844,
-0.40532445907592773,
-0.29771751165390015,
0.42801520228385925,
-0.6198462247848511,
0.749004065990448,
0.9042093753814697,
0.4343278408050537,
-0.09246256947517395,
-0.24109505116939545,
0.44896963238716125,
-1.40445876121521,
0.4103594422340393,
... |
Instructions: Given a sentence in Italian, generate a new Italian 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 proba... | Alcune ore appaiono più vicine di altre nel cielo notturno. | 3 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.6500059962272644,
0.9018921256065369,
-0.40196382999420166,
-0.33289793133735657,
-0.5729376077651978,
-0.2795116901397705,
0.2809672951698303,
1.2056288719177246,
-0.15098504722118378,
-0.5756450891494751,
-1.2497987747192383,
-0.02018880844116211,
-0.32764312624931335,
0.2476675510406... |
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Comple... | Completion A
| 7 | NIv2 | task156_codah_classification_adversarial | fs_opt | [
0.38607335090637207,
0.6603015661239624,
-0.2673022449016571,
-0.513442873954773,
-0.593789279460907,
-0.8766847252845764,
0.7693431973457336,
0.42346426844596863,
-0.4439292550086975,
-0.27268871665000916,
-0.5402849316596985,
-0.4890249967575073,
-0.11191470921039581,
-0.0877478793263435... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
[EX Q]: 9, ['D', 's', '2997', 'V', '899', '1959', 'C', 'e', 'X', '3563', '8855', 'v', 'F', 'J', '9085', '893', 'r',... | 4551, 3039, 5015, 8809, O, 7211, 9413, 8673, U, n, b, 9353, 4065, 2995, 603, Z, 3089, L, F, 7631
| 6 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
-0.10563287138938904,
-0.09041284024715424,
-0.8121834993362427,
-0.3485870659351349,
-0.4711577892303467,
-0.4247760772705078,
0.6531780958175659,
0.5498799085617065,
-0.5375298857688904,
0.19221794605255127,
-0.7513986825942993,
-0.1603141725063324,
-0.15427719056606293,
-0.0062351636588... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must b... | Sentence 1: My mother made tacos today and burritos yesterday for lunch so the _ were fresher.
Answer1: tacos.
Sentence 2: My mother made tacos today and burritos yesterday for lunch so the _ were older.
Answer2: burritos. | 6 | NIv2 | task029_winogrande_full_object | fs_opt | [
0.495765745639801,
0.31324803829193115,
-0.01856820657849312,
-0.3409069776535034,
0.7574924826622009,
-0.7946184873580933,
0.46203792095184326,
1.1821024417877197,
-0.6609132289886475,
-0.3008522689342499,
-0.42312830686569214,
0.02075076475739479,
-0.4725446403026581,
-0.0892970636487007... |
Detailed Instructions: "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 ... | Response 1 | 9 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
0.09985826909542084,
0.8957597017288208,
0.48821741342544556,
-0.48820817470550537,
0.23372459411621094,
-0.9476921558380127,
0.6084543466567993,
0.582902729511261,
-0.016113445162773132,
-0.34206435084342957,
-0.6234399676322937,
0.1300957053899765,
-0.922954261302948,
0.4674878716468811,... |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or ant... | Stereotype
| 3 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
0.24717378616333008,
0.27755269408226013,
-0.04883994534611702,
0.40397003293037415,
-0.13302433490753174,
0.052289679646492004,
0.49533283710479736,
0.9356420040130615,
0.06219947710633278,
-0.15193551778793335,
-0.6853752136230469,
-0.0011925306171178818,
-0.24308189749717712,
-0.2999101... |
Part 1. Definition
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Part 2. Example
Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
Answer: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
Explanat... | Teño por aquí atrás un libro antigo e quería lerlles un anaco del. | 7 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-0.7500149011611938,
0.9887029528617859,
-0.43941569328308105,
-0.8414595127105713,
0.1088201254606247,
-0.6858699321746826,
1.290752649307251,
0.1485380232334137,
0.1757584810256958,
-0.1826789826154709,
-0.6234750151634216,
0.8538321256637573,
-0.3135068714618683,
0.08890429884195328,
... |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
ここで必要なのはプラン B です
A: | E então o que precisamos é um plano B. | 7 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
-0.30181676149368286,
0.37637245655059814,
-0.16430020332336426,
-0.5134655237197876,
-0.29098957777023315,
-0.161702960729599,
0.2053297758102417,
0.5919500589370728,
0.8796789050102234,
-0.5401420593261719,
-0.3818681240081787,
0.26864272356033325,
0.05377090722322464,
0.3455083072185516... |
Part 1. Definition
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Part 2. Example
I heard enough of what she said to you last night to understand her unwillingness to be acting with a stranger;
Answer: دیشب شنیدم به تو چه میگفت. فهمیدم که دوست ندارد با یک غریبه این نق... | خب، ما هم که دلمان نمیخواهد وقتی سر تاماس برمیگردد ببیند همه چیز به قیژقیژ افتاده. | 7 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
0.5897936820983887,
1.434341549873352,
-0.08309829980134964,
0.09577403962612152,
0.03347616642713547,
-1.0341588258743286,
1.297215461730957,
0.25342172384262085,
-0.19037997722625732,
0.1787835657596588,
0.12502425909042358,
0.7759743332862854,
-0.7884111404418945,
-0.16778218746185303,
... |
Instructions: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") shoul... | [939, 393] | 3 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.7535018920898438,
0.15054243803024292,
-0.36287757754325867,
-0.4108738899230957,
-0.18501654267311096,
0.39567098021507263,
0.8174693584442139,
0.06562323868274689,
-0.4856092631816864,
-0.29535919427871704,
-0.617938756942749,
0.06361609697341919,
-0.2228354960680008,
-0.4936274886131... |
In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Example input: gocogccocco
Example output: gocog
Example ... | ewwe | 3 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.4106155037879944,
0.5728273987770081,
0.08539774268865585,
-0.3491174578666687,
-0.13792602717876434,
-0.6288189888000488,
1.1389421224594116,
-0.24716803431510925,
-0.039705462753772736,
-0.1842356026172638,
-0.5747696161270142,
0.07015859335660934,
-0.49423539638519287,
0.147009193897... |
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in ... | Solution: PersonX plans to go to Latin America next year were PersonY is currently living, _ has never been to Latin America. | 5 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
1.0224690437316895,
0.4148961901664734,
-0.0796828418970108,
0.22451969981193542,
0.011363383382558823,
-0.4796079993247986,
0.5060087442398071,
1.320896863937378,
-0.18180504441261292,
-0.7187302708625793,
-0.07521215081214905,
-0.11166084557771683,
-0.6142286062240601,
0.1001475825905799... |
Part 1. Definition
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].
Part 2. Example
Verify if the sentiment of the following document towards the entity Bill ... | no | 7 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
-0.6480797529220581,
0.2886585593223572,
0.307594358921051,
0.22844728827476501,
0.5356485843658447,
-0.5816168785095215,
0.7302470207214355,
0.3483605980873108,
0.1613466590642929,
0.7107727527618408,
-0.11718874424695969,
0.04023928940296173,
-0.2743086814880371,
-0.5282013416290283,
0... |
Detailed Instructions: In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Problem:Text: one of my friends - let's call him j - was stoked to h... | TIFU by saying racist things while playing Risk. | 8 | NIv2 | task510_reddit_tifu_title_summarization | zs_opt | [
0.8227750658988953,
0.2516564428806305,
-0.4616193175315857,
-0.18680259585380554,
0.25714436173439026,
-0.3712783753871918,
1.187853217124939,
0.7438371777534485,
0.12649407982826233,
0.07475990056991577,
-0.11891191452741623,
0.07093386352062225,
-0.819370448589325,
-0.10632047057151794,... |
You will be given a definition of a task first, then some input of the task.
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.
And today, that satisfaction, that basic feeling of satisfaction is different... | 67 ଲକ୍ଷ ମାନବଦିବସ ରୂପରେ ପ୍ରତ୍ୟେକ୍ଷ ନିଯୁକ୍ତି ସୁଯୋଗ ସୃଷ୍ଟି ହେବ; | 1 | NIv2 | task987_pib_translation_english_oriya | zs_opt | [
-0.15309017896652222,
0.7893155813217163,
-0.09892874956130981,
0.10141621530056,
-0.2753005027770996,
-0.8972644805908203,
1.2621517181396484,
0.20622245967388153,
0.21774941682815552,
-0.10182463377714157,
-0.03579884395003319,
-0.4929533898830414,
-0.14871232211589813,
0.141310289502143... |
You will be given a definition of a task first, then some input of the task.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
This printer has not caused my any troubles to this date. It's a quality little printer, as all HP products tend to be. The qualit... | Positive | 1 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.8275135159492493,
-0.3714287281036377,
-0.14983195066452026,
0.17816857993602753,
0.6543102264404297,
-0.2364087551832199,
0.5781465172767639,
0.3163565993309021,
0.7891311645507812,
0.8524242639541626,
-0.7742947936058044,
0.23559412360191345,
0.5962957739830017,
-0.5387935638427734,
... |
Given the task definition and input, reply with output. In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including app... | Identity-attack | 5 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-1.0779650211334229,
1.0132697820663452,
0.5711573958396912,
0.4110659956932068,
-0.3413926362991333,
-0.0646764412522316,
0.38897705078125,
0.2090258151292801,
0.4953087866306305,
0.40287548303604126,
0.10483172535896301,
0.15337303280830383,
-0.4058740735054016,
-0.7062751650810242,
0.... |
In this task, you will be presented with a question in Persian. Based on the knowledge you need to answer the question, classify the question into "math_and_logic", "literature", or "common_knowledge".
Q: کدام یک از موارد زیر از جمله ملاکهای عملی و عینی مدیریت، محسوب نمی شود؟
A: common_knowledge
****
Q: در ادامه این ... | literature
****
| 4 | NIv2 | task474_parsinlu_mc_classification | fs_opt | [
-0.9456229209899902,
0.7721234560012817,
0.489235520362854,
-0.8708232045173645,
-0.4077839255332947,
-0.3247034549713135,
0.2547222375869751,
-0.2417595237493515,
0.5609158873558044,
-0.6689159870147705,
-0.5419436693191528,
0.06303688883781433,
-0.5633129477500916,
0.22915494441986084,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Zaczyna się rano, po przebudzeniu, i trwa cały dzień, aż zaśniesz, lub umrzesz lub inaczej staniesz się nieświadomy. | Comeza pola mañá cando acordamos dun sono sen soños e continúa ata que adormecemos, morremos ou quedamos inconscientes. | 0 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
0.03134933486580849,
1.1244823932647705,
0.03897697478532791,
-1.1900423765182495,
-1.1781604290008545,
-0.8962738513946533,
0.8128162622451782,
0.4820529818534851,
-0.5444352030754089,
-0.4952423572540283,
-0.3457201421260834,
-0.040363989770412445,
-0.9325367212295532,
0.3050469756126404... |
In this task you are given a premise and two alternatives in Estonian you must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Inpu... | Output: 2
| 2 | NIv2 | task968_xcopa_commonsense_reasoning_et | fs_opt | [
-0.05472910776734352,
0.9232107400894165,
-0.36288943886756897,
-0.0021854557562619448,
-0.4876057505607605,
-0.3220304548740387,
0.4295161962509155,
0.9555649757385254,
0.3560341000556946,
0.3809185028076172,
-0.7893635034561157,
0.2323073446750641,
-0.37171506881713867,
0.214228928089141... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised o... | [25, 93, 28, -26, 34] | 1 | NIv2 | task207_max_element_lists | zs_opt | [
0.12874901294708252,
-0.2545941472053528,
-0.9015523791313171,
0.6442563533782959,
0.40536606311798096,
0.27346736192703247,
0.5298933982849121,
-0.0411999337375164,
-0.004202117212116718,
0.08401310443878174,
-0.8221147060394287,
-0.20166639983654022,
-0.2677364647388458,
-0.3813001513481... |
Definition: 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 or unident... | Unidentifiable | 2 | NIv2 | task350_winomt_classification_gender_identifiability_pro | zs_opt | [
-1.100639820098877,
0.40277934074401855,
-0.34370702505111694,
-0.5291146636009216,
0.41212472319602966,
0.40393146872520447,
-0.28918927907943726,
0.6889520883560181,
0.597543478012085,
-0.15788176655769348,
-0.7753448486328125,
-0.13229335844516754,
-0.2939175069332123,
-0.37574082612991... |
Detailed Instructions: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and t... | 4a, 1c | 8 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
0.18678423762321472,
0.4597746431827545,
-0.07471571862697601,
0.21109020709991455,
0.03845585137605667,
-0.029510371387004852,
0.08478312194347382,
0.7703124284744263,
-0.36822229623794556,
0.48198801279067993,
-0.12073707580566406,
0.117125004529953,
-0.18254709243774414,
-0.212850928306... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Q: What did Rajagriha serve as?, Context: Magadha (Sanskrit: मगध) formed one of the sixteen Mahā-Janapadas (Sanskrit: "Great Countries") or kingdoms in ancient India. The core of the kingdom was the... | capital | 4 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.5720692276954651,
0.20072118937969208,
-0.4359253942966461,
-0.38939833641052246,
-0.4168820083141327,
-0.5655652284622192,
0.024458199739456177,
0.8894277811050415,
-0.29318079352378845,
-0.6238991022109985,
-0.8408738970756531,
-0.4647987186908722,
-0.7752871513366699,
0.15303981304168... |
Detailed Instructions: 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".
Q: Review: A beautiful new print of "Zabrisk... | yes | 9 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.006818464957177639,
-0.2571965157985687,
-0.37908846139907837,
0.37655097246170044,
0.1352420449256897,
0.122226282954216,
1.2644546031951904,
0.945932149887085,
0.03652297705411911,
0.0431041419506073,
-0.09284456819295883,
0.00827186368405819,
-0.5619771480560303,
-0.17010435461997986... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
修士号を持つ数学教師は、予測ができる効果をあげますが
| Para os profesores de matemáticas o feito de ter un máster ten unha certa influencia. | 5 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-1.0898244380950928,
0.3484320044517517,
0.06736011803150177,
-1.6123719215393066,
0.3340325951576233,
-0.611787736415863,
0.20054589211940765,
0.20913967490196228,
-0.23002389073371887,
-0.6274648904800415,
-0.25768280029296875,
0.5969432592391968,
-0.4665568470954895,
0.09938490390777588... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: قضیه از این قرار بود که دو نفر از مأموران دولت به خانه پارک انجیلنویسان آمده بودند و ورقهای رسمی برای تفتیش در دست داشتند.
A: The facts were that two government agents had come to the house on the Park of the Evange... | Far down there in the orchestra circle was the one woman in all the world,
****
| 4 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.24055399000644684,
0.6245340704917908,
-0.8116105794906616,
-0.062177874147892,
-0.8055970668792725,
-0.19184432923793793,
0.40858668088912964,
-0.3420974612236023,
0.4759264588356018,
-0.30553358793258667,
-0.3594910204410553,
0.37494924664497375,
0.11827433854341507,
0.374404698610305... |
Detailed Instructions: This task is about translating a given Yoruba language sentence to English.
Q: Àwọn agbábó̩ò̩lù ọwó̩-ẹ̀yìn ni Abdullahi Shehu, Leon Balogun, William Troost-Ekong àti Brian Idowu.
A: | The defenders selected are Abdullahi Shehu, Leon Balogun, William Troost-Ekong and Brian Idowu. | 9 | NIv2 | task1686_menyo20k_translation | zs_opt | [
-0.22339358925819397,
0.36052000522613525,
-0.06599389761686325,
-0.7571955919265747,
-0.13110792636871338,
0.2764417231082916,
0.18678149580955505,
0.18797685205936432,
0.5735815763473511,
-0.3269123435020447,
-0.5463875532150269,
-0.0912170335650444,
-0.46433132886886597,
0.1610552519559... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | b | 4 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.7864265441894531,
0.6355398893356323,
-0.1019182950258255,
0.11195346713066101,
0.05840650945901871,
-0.43493950366973877,
0.8576462864875793,
0.552248477935791,
0.6270169615745544,
0.08092469722032547,
-0.13505549728870392,
-0.19164064526557922,
-0.8298128843307495,
-0.4343435764312744,... |
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence an... | [['William Anders', 'WAS_A_CREW_MEMBER_OF', 'Apollo 8']]
| 0 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
-0.055539362132549286,
-0.21766896545886993,
-0.9481974840164185,
-0.2611880600452423,
-0.31239575147628784,
-0.09146929532289505,
0.3940679430961609,
0.4674685001373291,
-0.21019509434700012,
0.09328170120716095,
-0.03124404326081276,
0.3325060307979584,
-0.14116595685482025,
0.1589373052... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
One example is below.
Q: 2007 में फ़्रांस, पेरिस के पार्क डेस प्रिंसेस में हु... | An underwater earthquake with a magnitude of 7.7 triggered the deadly wave which ravaged a 200km stretch of Java's southern coast. | 9 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
-0.0016130732838064432,
0.9128819704055786,
0.06407636404037476,
0.34833335876464844,
0.21093019843101501,
-0.6155351996421814,
-0.37390899658203125,
0.770237147808075,
-0.30897483229637146,
-0.087110735476017,
-0.5178744792938232,
0.45911139249801636,
0.026074454188346863,
0.2068005502223... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
Let me give you an example: It's sort of the biggest TiVo box you've ever seen.
The answer to this example can be: To największa nagrywarka, jaką w życiu widzieliście.
Here is why: The English sentence is correctly translat... | Ta pośrednia argumentacja | 8 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-0.3071332275867462,
0.5579541921615601,
0.6796668767929077,
0.6221306324005127,
0.3683372139930725,
-0.7320836186408997,
0.5611895322799683,
-0.7373961210250854,
-0.1056433618068695,
0.2555030882358551,
0.44390419125556946,
0.28153058886528015,
-0.955162763595581,
0.3696131706237793,
-0... |
TASK DEFINITION: Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the questio... | Sea tiger.
| 8 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.6505981087684631,
0.48962289094924927,
-0.5055930018424988,
-0.2577347159385681,
-0.6692036390304565,
-1.0792880058288574,
0.9470261931419373,
0.2477150410413742,
0.025351084768772125,
-0.11810563504695892,
-0.27774035930633545,
0.33345314860343933,
-0.9529480338096619,
0.451345801353454... |
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
On... | Hate Speech | 9 | NIv2 | task1502_hatexplain_classification | fs_opt | [
-0.7262933850288391,
0.7697188854217529,
0.3408087491989136,
0.4902985990047455,
-0.1320316195487976,
-1.1908738613128662,
-0.19915854930877686,
0.3425728678703308,
0.39261341094970703,
0.49597620964050293,
-0.3415159583091736,
-0.15913768112659454,
-0.47575604915618896,
-0.951751589775085... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Example input: Dialogue 1: 'when did i called u ugly pony when did you ever call fuck u ur rlly a m... | no | 3 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.575346827507019,
0.44258540868759155,
0.5960696935653687,
-0.6260783672332764,
-0.5211427211761475,
0.2602075934410095,
0.9185078144073486,
-0.2906167805194855,
-0.3392069339752197,
-0.374432772397995,
0.13690823316574097,
-0.2494753897190094,
-0.4299066662788391,
0.24456053972244263,
... |
Detailed Instructions: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a ... | a couple of narrow boats moored | 9 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
0.5096808671951294,
-0.054048217833042145,
-1.1103718280792236,
-0.3165706694126129,
-0.0659792497754097,
-1.220372200012207,
0.8352668285369873,
0.8046796321868896,
-0.38032740354537964,
-0.25498658418655396,
-0.21650007367134094,
0.0629822164773941,
0.068244069814682,
-0.0250010229647159... |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or ant... | Anti-stereotype | 4 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
0.006868427153676748,
0.6130197048187256,
-0.4562693238258362,
0.046676479279994965,
-0.5289164185523987,
0.2573000192642212,
0.1103079617023468,
0.7348148226737976,
-0.3438177704811096,
-0.2628991901874542,
-0.019537027925252914,
0.20901519060134888,
-1.2213728427886963,
-0.14917257428169... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Example Input: Comment: At least these scholars ... | Threat
| 3 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.33241990208625793,
0.28188377618789673,
0.9927559494972229,
-0.1704850196838379,
0.2927488088607788,
-0.2971290051937103,
0.6806368827819824,
0.7627930641174316,
-0.09505941718816757,
0.30600112676620483,
0.49922609329223633,
0.3640429377555847,
-0.6149397492408752,
-0.684760570526123,
... |
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.
Example Input: That is very interesting, anything else?
Sure! The word Gambia comes from the term "Kambra/Kambaa" which means Gambia ... | Paris, nicknamed the City of Light, is the capital of France and the its largest city. Paris has about 2.15 million people living there. But, if you include the suburbs, the population of Paris area rises to 12 million people.
| 3 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
-0.042198121547698975,
0.6173431277275085,
-0.20396721363067627,
-0.9748232960700989,
-0.13589608669281006,
-0.5179080367088318,
0.6577644348144531,
0.35462287068367004,
-0.5334089398384094,
0.0506640262901783,
-0.6826125979423523,
-0.020282726734876633,
-0.7923011779785156,
-0.24040037393... |
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.
--------
Question: please sent please get the fuck outta here bitch
Answer: angry
Question: something well what is that something u are boy or girl
Answe... | happy
| 7 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-0.6941931843757629,
0.4073266386985779,
0.35373350977897644,
-0.6558295488357544,
0.053407516330480576,
-0.7725716829299927,
0.44684693217277527,
0.27686363458633423,
0.9199782609939575,
-0.021414730697870255,
-0.4393383860588074,
0.359536349773407,
-0.46646615862846375,
-0.39626631140708... |
In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
Q: Hello. Can you tell me about Kosovo and its "Etymology"?
Originally, Kosovo had the dual name of "Kosovo and Metohija". The second half was dropped `in 1968.
Interesting. I would like to know a little... | Kosovo | 4 | NIv2 | task578_curiosity_dialogs_answer_generation | zs_opt | [
0.5141432285308838,
0.6722465753555298,
0.15125972032546997,
-0.616009533405304,
-0.006930334493517876,
-0.7426918745040894,
1.2024648189544678,
0.09529159963130951,
0.2519824504852295,
-0.19572418928146362,
-0.12396951764822006,
0.4602479338645935,
-0.9345577359199524,
0.40237146615982056... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
One example: Amsterdam_Airport_Schiphol | runwayName | "09/27 'Buitenveld... | Tomato, from the family of solanaceae, is a key ingredient in an Arrabbiata sauce. | 6 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-0.4433709979057312,
0.8168662190437317,
-0.48686307668685913,
-0.46789905428886414,
-0.5070635080337524,
0.029198994860053062,
1.042885184288025,
0.181237131357193,
-0.2504194974899292,
0.03476787731051445,
-0.2568989098072052,
1.0123614072799683,
-0.22073127329349518,
-0.1054359823465347... |
Detailed Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is co... | Option 2 | 9 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
-0.5165361762046814,
0.6308566331863403,
0.3625256419181824,
0.049447789788246155,
-0.14662161469459534,
-0.21800129115581512,
0.44561466574668884,
1.1665548086166382,
-0.03915642574429512,
0.19225946068763733,
-0.09684012830257416,
-0.7779803276062012,
0.1144825667142868,
-0.2834975123405... |
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Q: name[xname], eattype[coffee shop], price[high], rating[3 out of 5], location[city centre], familyFriendly[yes], near[xnear]
A: There is an exp... | xname is the best restaurant with good food.
****
| 4 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.2793673574924469,
0.04041795805096626,
-0.6633819341659546,
-0.3678174614906311,
-0.27485930919647217,
0.5908362865447998,
0.6266661882400513,
0.7455326914787292,
0.15901410579681396,
-0.3166966140270233,
0.7400463819503784,
-0.09372356534004211,
-0.5481494665145874,
-0.0570526011288166... |
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
... | [379, 827, 149, 61, 13, 257, 929, 163, 67] | 0 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.2141009420156479,
0.15857669711112976,
-0.21881036460399628,
-0.34615474939346313,
0.08608269691467285,
-0.04936092346906662,
0.6692800521850586,
0.6508082151412964,
-0.3321167230606079,
0.3318662643432617,
-1.123430848121643,
-0.7177340984344482,
-0.324357271194458,
-0.6083763837814331... |
Q: Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Poster: THEN & NOW: #BobbyRiggs & me at Battle of the Sexes presser... | Positive | 7 | NIv2 | task823_peixian-rtgender_sentiment_analysis | zs_opt | [
-0.6944535970687866,
0.11428633332252502,
0.22384051978588104,
0.05470160022377968,
0.6917585730552673,
-0.6948358416557312,
0.3195761442184448,
0.8089325428009033,
1.179343342781067,
0.07407795637845993,
0.0354621522128582,
-0.12631267309188843,
0.07614342868328094,
-0.573621392250061,
... |
In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
Q: Do you workout?
A: | X wants to know what activities Y likes to do during weekends. | 4 | NIv2 | task567_circa_text_generation | zs_opt | [
-0.0886361226439476,
0.8349679708480835,
-0.824275016784668,
0.3677936792373657,
-0.4943481683731079,
0.43321120738983154,
0.14874841272830963,
0.2677130699157715,
0.36853140592575073,
-0.6267387866973877,
-1.4132449626922607,
-0.2853032648563385,
-0.716123640537262,
0.30638396739959717,
... |
Detailed Instructions: 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 reasonabl... | Ein Alog kann Schallwellen werfen. | 4 | NIv2 | task416_mickey_de_sentence_perturbation_generation | fs_opt | [
0.10408073663711548,
0.7046326398849487,
-0.07106509059667587,
-0.33638501167297363,
-0.03701505437493324,
-0.9410400986671448,
0.5341773629188538,
0.9187465906143188,
0.35290318727493286,
0.08127404749393463,
-0.16667652130126953,
-0.07462647557258606,
-0.9621001482009888,
0.1903675645589... |
Definition: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Problem: by selling an article at rs . 800 , a shopkeeper makes a profit of 25 % . at what price should he sell th... | c | 2 | NIv2 | task1419_mathqa_gain | zs_opt | [
-0.10474139451980591,
0.2695896029472351,
-0.3003310561180115,
0.34394168853759766,
-0.2590714395046234,
0.22908467054367065,
0.23001576960086823,
0.9464585781097412,
-0.039559200406074524,
0.1816243976354599,
-1.04579758644104,
0.38435110449790955,
-0.9832655191421509,
-0.0995056182146072... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
that he had lived centuries, so far behind were the old life and outlook.
که از صدها سال پیش زندگی میکرده است و فاصلهی زندگی و طرز فکر سابقش با او بسیار زیاد شده است.
when they woke with a headache, without danger of r... | که تازه نسیم دریا به سویش وزیدن گرفته بود و خنکایی نشاطبخش با خود میآورد،
| 0 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
0.07211901247501373,
1.0994306802749634,
-0.5486599206924438,
-0.26436418294906616,
-0.4326627850532532,
-0.5994839668273926,
1.3223516941070557,
0.5911410450935364,
-0.1805027425289154,
-0.004444218706339598,
-0.3218153119087219,
0.4636971354484558,
-1.1946877241134644,
0.4398098289966583... |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
[EX Q]: Sentence: xname is a French food place near xnear. It has an average custome... | location[riverside], familyFriendly[yes], rating[1 out of 5]
| 6 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.17202620208263397,
-0.30736643075942993,
-0.47315657138824463,
-0.24803578853607178,
0.2528012692928314,
-0.01078804675489664,
1.0036637783050537,
1.092179536819458,
0.1957513988018036,
-0.08712983876466751,
0.6472360491752625,
-0.13935720920562744,
-0.5472132563591003,
-0.2777732610702... |
Detailed Instructions: In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish.
See one example below:
Problem: The 3 week course is str... | Sjukdomen babesios (kallas även piroplasmos) orsakas av en parasit, babesia ( Babesia spp ), som infekterar och förstör röda blodkroppar. | 4 | NIv2 | task1395_europa_ecdc_tm_en_sv_translation | fs_opt | [
-0.1560066044330597,
0.4365961253643036,
-0.5063091516494751,
-0.9886596202850342,
-0.27698829770088196,
-0.25042957067489624,
0.9384555816650391,
0.21851083636283875,
0.08114923536777496,
0.26714351773262024,
-0.36799103021621704,
1.1047210693359375,
0.047048576176166534,
0.18318787217140... |
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
Q: Boy: Dad, Dad! Can I have some money to buy a Game Boy? Dad: A Game Boy? Those are too expensive. Boy: ... | (B) The boy feels some disappointment and surprise. | 4 | NIv2 | task247_dream_answer_generation | zs_opt | [
0.36539918184280396,
0.11845649033784866,
-0.30148911476135254,
-0.037504687905311584,
0.041493356227874756,
-0.2503133714199066,
0.8651906847953796,
0.7679377794265747,
0.2635117173194885,
-0.3831694722175598,
-0.37968331575393677,
-0.007328108884394169,
0.05832073092460632,
-0.6421849727... |
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