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 |
|---|---|---|---|---|---|---|
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
[EX Q]: Question1: Who browses Indiegogo and Kickstarter?, Question2: Should I make my crowdfunder project on both Kickstarter and Indiegogo?
[EX A]: No
[EX Q]: Question1: Magic Tr... | No
| 6 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.1897984743118286,
0.0467250719666481,
0.12154649198055267,
0.1270170509815216,
0.0433528795838356,
-0.3737112879753113,
0.48517799377441406,
0.4314781725406647,
-0.4188331961631775,
0.22849750518798828,
-0.100703664124012,
0.08246070891618729,
-0.6707696914672852,
-0.004138128831982613,... |
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.
Ex Input:
Poster: When you're trying to take a selfie with Mishka the... | Neutral
| 1 | NIv2 | task823_peixian-rtgender_sentiment_analysis | fs_opt | [
-0.7179484367370605,
-0.03164074569940567,
-0.5207326412200928,
0.20537661015987396,
0.3634498119354248,
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0.35625872015953064,
-0.404659628868103,
-0.048733968287706375,
-0.07132847607135773,
-0.365725249052047... |
Teacher:Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive categ... | Hate Speech | 6 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.5603058338165283,
0.28202342987060547,
0.5175435543060303,
0.5307033658027649,
-0.18752169609069824,
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-0.006788663566112518,
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0.3478112816810608,
0.2638244032859802,
0.053204961121082306,
-0.3086642324924469,
-0.8337410092353821,
-0.863179504871368... |
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
--------
Question: Sentence-1: The louder the better.<sep>Sentence-2: I like parties .
Answer: Yes
Question: Sentence-1: I need to take a nap.<sep>Sentence-2:... | Yes
| 7 | NIv2 | task566_circa_classification | fs_opt | [
-0.10260042548179626,
0.6284472942352295,
0.14693602919578552,
0.1368342936038971,
-0.47228455543518066,
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0.5544980764389038,
0.7946264147758484,
0.5604923963546753,
-0.03872507065534592,
-0.49565643072128296,
-0.3956679403781891,
-1.1291141510009766,
-0.622682690620422... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Q: [62, 144, 54]
A: [... | [11, 4, 10, 84, 19, 220]
****
| 4 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.856570839881897,
0.5715818405151367,
0.26539188623428345,
-0.9909790754318237,
-0.4062730073928833,
-0.3416353762149811,
1.2344980239868164,
-0.09838110953569412,
-0.3162980377674103,
0.5144959688186646,
-0.9891051054000854,
0.024117328226566315,
-0.5942950248718262,
-0.2386769056320190... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Recordo o que disse o arquitecto Mies van der Rohe, e parafraseando, quando ele disse que algumas vezes temos de mentir para contar a verda... | Mi ricorda quel che disse l'architetto Mies van der Rohe, parafrasando, disse che a volte devi mentire per poter dire la verità. | 1 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
-0.5457258224487305,
1.2527234554290771,
0.037087053060531616,
-0.023731473833322525,
-0.5754188299179077,
-0.1905505657196045,
0.4359685778617859,
0.23035071790218353,
-0.0902274027466774,
-0.23373115062713623,
-0.8447861671447754,
0.09298402070999146,
-0.5040621161460876,
0.4344893395900... |
Detailed Instructions: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Problem:Sentence-1: I can't wait to hit the beach.<sep>Sentence-2: I am looking forward to a fun weekend .
Solution: | Yes | 8 | NIv2 | task566_circa_classification | zs_opt | [
-0.43375396728515625,
0.11158379912376404,
-0.17122796177864075,
-0.33742380142211914,
-0.40253499150276184,
-1.0604653358459473,
0.2622290551662445,
0.9355869293212891,
0.23107925057411194,
-0.10365574061870575,
0.04723118990659714,
-0.20100568234920502,
-0.2805536985397339,
-0.2202617526... |
Detailed Instructions: 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 produ... | initial force is behavior that is intended to cause harm or pain. | 8 | NIv2 | task038_qasc_combined_fact | zs_opt | [
0.29312536120414734,
0.9041832685470581,
-0.4501243531703949,
-0.020845452323555946,
-0.42455506324768066,
-1.161354422569275,
0.12003450095653534,
1.1079490184783936,
-0.12681201100349426,
0.0024052176158875227,
-0.7722517848014832,
0.46681079268455505,
-0.8544881343841553,
-0.36479946970... |
In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Let me give you an example: Context: Tracy didn't go home that evening... | No | 8 | NIv2 | task579_socialiqa_classification | fs_opt | [
0.5537353754043579,
0.48222434520721436,
0.4119657278060913,
0.4968988299369812,
-0.19372856616973877,
-0.5232399702072144,
0.028326818719506264,
0.831875741481781,
0.24467387795448303,
0.5272186994552612,
-0.08029912412166595,
0.23092436790466309,
0.015550735406577587,
-0.3008905053138733... |
Given the task definition and input, reply with output. 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.
Category: GIVE 'EM HELOISE
Clue: You ... | oatmeal | 5 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-1.1166601181030273,
1.1308163404464722,
0.5609405040740967,
-0.23807001113891602,
-0.3056366443634033,
-0.13496741652488708,
0.6087366342544556,
0.07958254218101501,
0.5241011381149292,
0.06812091171741486,
-0.09802985191345215,
-0.06835567951202393,
-0.1776942014694214,
-0.35565608739852... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: Temos trabalhado em escolas pequenas, temos criado bolsas, temos feito coisas em bibliotecas.
Student: | Traballamos en pequenas escolas, financiamos becas, fixemos obras en bibliotecas. | 6 | NIv2 | task1279_ted_translation_pt_gl | zs_opt | [
-0.28349459171295166,
1.0578913688659668,
0.1057266965508461,
-0.8527736067771912,
-0.03256072849035263,
-0.8505533933639526,
0.08705928921699524,
0.7169613242149353,
0.3031819760799408,
-0.2567039132118225,
-0.017811574041843414,
0.09195122867822647,
-0.46734434366226196,
-0.4103981852531... |
Given the task definition and input, reply with output. In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to worl... | 1 | 5 | NIv2 | task1541_agnews_classification | zs_opt | [
-0.8595898151397705,
1.0245240926742554,
0.5394932627677917,
0.561677098274231,
0.4005398750305176,
-0.009059526957571507,
0.16919797658920288,
0.09643545746803284,
0.16280679404735565,
-0.10275706648826599,
-0.1109188050031662,
0.3009887635707855,
-0.4555583894252777,
0.16455891728401184,... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to count the number of times the given letter appears in the given sentence.
Example: Sentence: 'a large group of bananas proped up on several bicycles'. Find frequency of the letter 'e'
Output: 5
The letter 'e' appears ... | 4 | 1 | NIv2 | task113_count_frequency_of_letter | fs_opt | [
-0.1472567617893219,
0.1157897338271141,
-0.6032159924507141,
0.8234604001045227,
0.7004356980323792,
0.16364283859729767,
0.09828060865402222,
0.6968749761581421,
-0.7062983512878418,
0.2845890522003174,
-0.29403138160705566,
0.16527076065540314,
0.08673150092363358,
-0.09539219737052917,... |
Teacher: In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though the... | David Cameron | 2 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
-0.2958923578262329,
0.5844272375106812,
-0.33182114362716675,
-0.2437710165977478,
0.1246795654296875,
0.35928356647491455,
0.29620593786239624,
0.9048303365707397,
-0.48153966665267944,
0.5809736847877502,
0.45777156949043274,
0.6989123821258545,
-0.9271014332771301,
0.05295593664050102,... |
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
Ex Input:
2 pounds (about 24) fingerling potatoes, scrubbed, 1/4 cup olive oil, coarse salt and freshly ground black pepper, 1/2 cup Lemon-Saffron Vinaigret... | apple, red grapes, stalks celery, Miracle, lemon juice, Boston lettuce, walnuts
| 1 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
0.5619120597839355,
-0.04455653578042984,
-0.5066444873809814,
1.3304600715637207,
0.08640097826719284,
-0.8102667927742004,
0.8110198974609375,
0.9148977994918823,
-0.03608530014753342,
-0.08765816688537598,
0.02144065871834755,
0.16954553127288818,
-0.7473166584968567,
-0.413410604000091... |
Indicate the presence of numerical data in the abstract (whether numerical data plays a key role in medical records), solely using the information from the abstract.
One example: Abstract: Some patients converted from ventricular fibrillation to organized rhythms by defibrillation - trained ambulance technicians(EMT - ... | Yes | 6 | NIv2 | task621_ohsumed_yes_no_numerical_answer_generation | fs_opt | [
-0.5383201837539673,
-0.004183202050626278,
-0.46785634756088257,
0.14786984026432037,
0.2530241906642914,
-0.42772436141967773,
0.7661994695663452,
0.5208539366722107,
0.45342931151390076,
0.4596720039844513,
-0.7846415638923645,
0.5172573328018188,
-0.2719133794307709,
0.1766850054264068... |
Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise
One example: The site collects your IP address or device IDs for advertising. Collection happens when you implicitly provide... | Personalization/Customization | 6 | NIv2 | task683_online_privacy_policy_text_purpose_answer_generation | fs_opt | [
-1.020869255065918,
-0.09008710086345673,
-0.6444681882858276,
-0.059835366904735565,
-0.6725160479545593,
-1.0556551218032837,
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0.914936900138855,
0.508776843547821,
0.046124257147312164,
-0.4350917637348175,
-0.72563612461090... |
Q: 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 question. So, the cor... | inheritance patterns. | 7 | NIv2 | task041_qasc_answer_generation | zs_opt | [
0.12574756145477295,
0.498649001121521,
-0.4331909418106079,
-0.23320379853248596,
-0.5689774751663208,
-1.4225163459777832,
0.7162288427352905,
0.3717620074748993,
0.10607923567295074,
-0.5396178364753723,
-0.5172296762466431,
0.4062851667404175,
-0.2936558723449707,
0.362443208694458,
... |
Teacher: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an eve... | Where may she be currently located ? | 2 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.8360074758529663,
0.02895660698413849,
-0.3541402816772461,
0.16490912437438965,
-0.0037658559158444405,
-0.663985013961792,
0.2023991048336029,
1.1138331890106201,
-0.2444463074207306,
-0.06549988687038422,
0.009578203782439232,
-0.30153974890708923,
-0.346509724855423,
-0.2783250808715... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., Person... | Yes | 1 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
0.31927216053009033,
0.38862884044647217,
0.31247907876968384,
-0.2767444849014282,
-0.26492273807525635,
-0.5039628744125366,
1.2118356227874756,
0.2762686014175415,
-0.6785008907318115,
-0.33105671405792236,
-0.28190165758132935,
-0.502600371837616,
-0.6185518503189087,
0.338730305433273... |
Detailed Instructions: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: Pada 18 Oktober, layanan JetBlue dari Raleigh ke Boston akan dimulai dengan penerbangan 1 hari.
A: | 10月18日にジェットブルーのローリーからボストンへの一日一便のサービスが始まる。 | 9 | NIv2 | task1116_alt_id_ja_translation | zs_opt | [
0.8088889122009277,
0.20950305461883545,
0.04502909258008003,
-0.5811992883682251,
-0.07601504027843475,
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0.22610342502593994,
-0.10604967176914215,
-0.13979123532772064,
-0.09240789711475372,
-0.37031862139701843,
-0.47239014506340027,
0.3791021406650543,
0.16043159365... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Q: Widać, że są różnice pomiędzy jednym okresem wegetacji, a drugim.
A: | E poden ver que existen algunhas diferenzas entre unha estación de crecemento e outra. | 9 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-0.800366997718811,
0.7808239459991455,
-0.257595032453537,
-0.5734405517578125,
-0.4340835511684418,
-1.5761022567749023,
0.08564288169145584,
0.08791768550872803,
-0.24324461817741394,
-0.061352867633104324,
0.3582655191421509,
-0.18091121315956116,
-0.8253245949745178,
0.557302415370941... |
Given the sentence, generate "yes, and" response. "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..."). 1 In short, a "Yes, and" is a dialogue exchang... | You made your choice, man. That's why I operate the pirate ship. It's the best gig in the park. The pirate ship swings one way and then swings back the other way. | 4 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.42739489674568176,
1.046796202659607,
0.4704930782318115,
0.08246400952339172,
0.12239722907543182,
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0.06661540269851685,
0.7441064715385437,
0.06817270815372467,
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-0.8478538990020752,
-0.1559295356273651,
-0.879329264163971,
0.7262703776359558,
... |
TASK DEFINITION: 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.
PROBLEM: بھارت ماتا کی جے، بھارت ماتا کی جے، بھارت ماتا کی جے۔
SOLUTION: भारत माता की जय, भारत माता की जय, भारत माता की जय,
PROBLEM: (ج) سرک... | नवी दिल्ली, 3 नोंव्हेबर 2017
| 8 | NIv2 | task990_pib_translation_urdu_marathi | fs_opt | [
0.03618255630135536,
0.5010036826133728,
-0.4354799687862396,
-0.29160773754119873,
-0.2594667673110962,
0.25663885474205017,
0.837810754776001,
0.8369296789169312,
-0.16015607118606567,
-0.18910281360149384,
-0.495189368724823,
-0.12014193087816238,
-0.4028649926185608,
0.6613433361053467... |
TASK DEFINITION: You are given a statement written in Bengali. 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 .
PROBLEM: Statement: উৎপাদিত জামাক্কালাম বিশ্বের বিভিন্ন দেশে রপ্তানি করা হয় যেমন <MASK> , জার্... | আসাম
| 8 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | fs_opt | [
0.24046319723129272,
-0.12575794756412506,
-0.17670133709907532,
0.4995018541812897,
0.43250101804733276,
0.4850310683250427,
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-0.4848647713661194,
0.0820840522646904,
-0.98868727684021,
-0.23666834831237793,
... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby p... | Output: wireless
| 2 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
-0.2548532485961914,
0.1823277324438095,
-0.9542051553726196,
0.2202984094619751,
0.6280754804611206,
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0.8811333179473877,
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0.6347944736480713,
0.11996002495288849,
0.5739328861236572,
-0.2611948251724243,
-0.7315720915794373,
... |
TASK 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 un... | Identifiable
| 8 | NIv2 | task350_winomt_classification_gender_identifiability_pro | fs_opt | [
-1.0032235383987427,
0.216334268450737,
0.09376931935548782,
-0.28265440464019775,
0.044143348932266235,
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0.11719951033592224,
0.9457118511199951,
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0.12813937664031982,
-0.5462087392807007,
0.15105271339416504,
0.2314927726984024,
-0.31061622500419617,... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
One example: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Solution is here: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
Explanation: The Portugese sentence i... | Las ciencias duras están incompletas sin cada pieza individual. | 6 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
-0.10959887504577637,
0.9139881134033203,
0.7583746910095215,
-1.0518454313278198,
-0.17106814682483673,
-0.6725243330001831,
0.17748038470745087,
0.5851491689682007,
0.419464111328125,
-0.6668819189071655,
-0.4528335928916931,
0.22871263325214386,
-0.527807354927063,
0.2433847039937973,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Example input: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Example output: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Example explanation: The Japanese sente... | E 'molto importante — non stiamo in internet, vero? che rischio il licenziamento — è davvero importante che non lasciate determinare la qualità della vita da una corporazione commerciale. | 3 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
-0.49754366278648376,
0.5085653066635132,
-0.2040712535381317,
-0.35253220796585083,
-0.3532612919807434,
-0.4683063328266144,
0.9693542718887329,
1.070569634437561,
0.2043546885251999,
-0.07932373881340027,
-0.2844192385673523,
0.8748170137405396,
-0.9172710180282593,
0.15913933515548706,... |
Part 1. Definition
In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Part 2. Example
Deserts are in extremely dry environments, so liquids will naturally be (A) rainbow (B) plentiful (C) meager (D) talented
Answer: ... | A | 7 | NIv2 | task1286_openbookqa_question_answering | fs_opt | [
-0.0800478607416153,
0.6359822154045105,
0.049081385135650635,
-0.4051234722137451,
-0.6334612965583801,
-0.8594114780426025,
1.0472103357315063,
1.1274226903915405,
-0.14733299612998962,
-0.15300598740577698,
-0.547832190990448,
-0.6156938672065735,
-0.17111676931381226,
-0.12202922999858... |
Definition: In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Str... | ['the', 'second', 'movement', 'is', 'an', 'andantino', 'in', 'the', 'style', 'of', 'a', 'can', 'zona', 'or', 'Ken', 'zona', 'is', 'an', 'instrumental', 'form', 'of', 'the', 'Renaissance.', 'In', 'the', 'Renaissance,', 'there', 'were', 'two', 'basic', 'musical', 'forms:', 'the', 'Matraville,', 'or', 'sung', 'form,', 'an... | 2 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.6894094944000244,
0.3463858366012573,
-0.30199021100997925,
-0.01310182735323906,
0.3612790107727051,
-0.4262915849685669,
0.19667498767375946,
0.6877010464668274,
-0.35699462890625,
-0.05221688747406006,
-0.1323174238204956,
-0.34959250688552856,
-0.4723559617996216,
-0.1137403026223182... |
instruction:
In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. You are ex... | Anti-stereotype
| 9 | NIv2 | task316_crows-pairs_classification_stereotype | fs_opt | [
-0.3756061792373657,
0.1487995982170105,
-0.43157249689102173,
0.17724493145942688,
-0.1927994191646576,
-0.2507985532283783,
0.6190699934959412,
1.0047338008880615,
0.6944403052330017,
0.16518262028694153,
-0.7378843426704407,
-0.1616259515285492,
-0.7914875745773315,
-0.31328970193862915... |
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
Q: how do... | put up a shower curtain to block the water. | 4 | NIv2 | task080_piqa_answer_generation | zs_opt | [
0.12065120041370392,
0.743293821811676,
-0.6363533735275269,
0.01066538318991661,
-0.3770313262939453,
-0.535691499710083,
-1.073993444442749,
0.4064216911792755,
-0.2053445726633072,
0.381063848733902,
-0.13708405196666718,
0.3570246994495392,
-0.4963567852973938,
-0.4355211853981018,
0... |
Detailed Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger word... | Sentence 1: In order to maintain a good house PersonX asked PersonY for advice, _ can admit they don't know everything.
Sentence 2: In order to maintain a good house PersonX asked PersonY for advice, _ can admit they what they know . | 4 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.5273571014404297,
0.22898563742637634,
-0.07255092263221741,
-0.08319640904664993,
0.2639433741569519,
-0.7200055122375488,
0.718180775642395,
1.0433902740478516,
-0.15027746558189392,
-0.30421942472457886,
-0.5763167142868042,
-0.1031019389629364,
-0.7336431741714478,
0.2065959572792053... |
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.
Ex Input:
Sentence 1: Home Town , by Tracy Kidder (Random House). Sentence 2: ... | no
| 1 | NIv2 | task199_mnli_classification | fs_opt | [
-0.5589180588722229,
-0.03212795406579971,
0.5388922691345215,
0.32785362005233765,
0.8079196214675903,
-0.5962249040603638,
0.3627694249153137,
0.6042129993438721,
0.08479569852352142,
0.5378500819206238,
-0.2833472788333893,
-0.4588131308555603,
-0.7137839198112488,
-0.49779006838798523,... |
Instructions: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Input: Sentence-1: My condo is in a brand new high rise.<sep>Sentence-2: I live in the same neighborhood .
Output: | Yes | 3 | NIv2 | task566_circa_classification | zs_opt | [
-0.28868019580841064,
0.18465162813663483,
-0.1785828322172165,
0.35146379470825195,
0.10033530741930008,
-0.13039931654930115,
-0.5519881248474121,
1.202531099319458,
0.19408279657363892,
-0.20068953931331635,
-0.761194109916687,
-0.20031946897506714,
-0.6698809862136841,
0.02451183460652... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Thomas Edison disse, uma vez: "" Nós não sabemos um por cento de um milionésimo "de nada." E, eu cheguei à conclusão — porque vocês levantaram esta outra questão: "" Qual é a outra coisa que não se consegue ver? "" O p... | توماس ادیسون یکبار گفته ٬ "" ما درباره هرچیزی به اندازه یک درصد از یک میلیونیوم هم اطلاع نداریم "". "" ما درباره هرچیزی به اندازه یک درصد از یک میلیونیوم هم اطلاع نداریم "". و من به این نتیجه رسیده ام — چون شما سوال دیگری را پرسیدید ٬ "" چیز ناپیدای دیگر چیست ؟ "" منظور ٬ برای بیشترِ ما. اهمیت [در] چیست ؟ | 0 | NIv2 | task1282_ted_translation_pt_fa | zs_opt | [
0.9328486323356628,
0.8772252202033997,
0.8174937963485718,
-0.4522809088230133,
0.3309870958328247,
-0.8261627554893494,
0.15147948265075684,
0.9625729322433472,
0.5851141214370728,
0.6323845982551575,
-0.5187301635742188,
0.1319369077682495,
-0.7480441331863403,
-0.1577402651309967,
0.... |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: อิตาลีได้เอาชนะโปรตุเกสด้วยคะแนน31ต่อ5 ในกลุ่มc ของการแข่งขันรักบี้เวิลด์คัพปี2007 ที่สนามปาร์กเดแพร็งส์ ที่กรุงปารีส ประเทศฝรั่งเศส
Example ... | Solution: シン・フェイン党は、シン・フェイン政権となりうる、即時の政権委譲を要求した。 | 5 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
-0.019466303288936615,
0.5758887529373169,
-0.6890685558319092,
0.5504571795463562,
-0.03777773678302765,
-0.7595105171203613,
0.27372753620147705,
0.3043333888053894,
0.014620499685406685,
-0.17275670170783997,
-0.4236779808998108,
1.1670124530792236,
-0.23427888751029968,
0.8948460817337... |
Instructions: This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is n... | Who is the Commander in Chief of Congress? | 3 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
0.572868824005127,
0.4805397391319275,
-0.36700162291526794,
0.38588809967041016,
0.32931041717529297,
-0.8788182735443115,
1.1436748504638672,
0.5872995257377625,
-0.1573883295059204,
0.11555340886116028,
-0.6520698070526123,
-0.4801180958747864,
-0.671849250793457,
-0.31827688217163086,
... |
instruction:
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. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
question:
(CNN) French authorit... | (E)
| 9 | NIv2 | task302_record_classification | fs_opt | [
0.2995196580886841,
0.08273439109325409,
-0.1518133133649826,
-0.2721233367919922,
0.12873327732086182,
-0.49330347776412964,
0.38599514961242676,
0.9149230718612671,
-0.046767495572566986,
0.3746725916862488,
0.16377335786819458,
0.807918906211853,
-0.49257364869117737,
0.3435571789741516... |
Teacher:You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Teacher: Now, understand the problem? Solve this instance: CONTEXT: 15 de marzo de 2011 El Gobie... | tras intensificarse las revueltas populares | 6 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
1.0836175680160522,
-0.18404912948608398,
-0.1605682224035263,
-1.0030896663665771,
0.518214225769043,
0.11361004412174225,
0.8663536310195923,
1.277906060218811,
-0.3544338345527649,
0.31324779987335205,
-0.417336106300354,
0.804840087890625,
-0.7819443345069885,
0.1311248391866684,
0.1... |
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... | [['[TABLECONTEXT]', '[TITLE]', 'Deborah Secco'], ['[TABLECONTEXT]', 'TITLE', 'Mico Preto'], ['Mico Preto', 'YEAR', '1990'], ['Mico Preto', 'ROLE', 'Denise Menezes Garcia']] | 0 | NIv2 | task1410_dart_relationship_extraction | zs_opt | [
-0.012926671653985977,
0.0826926976442337,
-0.3014848828315735,
-0.18749001622200012,
-0.7654060125350952,
0.5122234225273132,
0.9561803340911865,
0.35048261284828186,
-0.11904508620500565,
-0.43450725078582764,
-1.082165002822876,
-0.37978649139404297,
-0.2801394462585449,
0.4909875392913... |
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
--------
Question: Question: Is repeated sputum microscopy essential for mo... | no
| 7 | NIv2 | task846_pubmedqa_classification | fs_opt | [
-0.5679365992546082,
0.03179546445608139,
-0.2668800950050354,
0.6557013988494873,
-0.33554327487945557,
-0.8052359223365784,
0.9842487573623657,
0.7412744760513306,
0.021360529586672783,
-0.042575765401124954,
-0.5869150161743164,
0.03273647278547287,
-0.5850515365600586,
0.32169812917709... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Podem usar - eu fi-lo, pus-me a caminho e fi-lo - o Capacete Dourado de Michael Persinger, que bombardeia os vossos lobos temporais com ondas eletromagnéticas. | Można spróbować - ja próbowałem - "" hełm boga "" Michaela Presingera, który bombarduje twój płat skroniowy falami elektromagnetycznymi. | 0 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.8806747198104858,
0.7336223125457764,
-0.21067440509796143,
0.1394956111907959,
-0.7259798645973206,
-0.26671135425567627,
0.9117962121963501,
0.16819366812705994,
-0.4313598573207855,
-0.2867438495159149,
-0.6592193841934204,
0.49359214305877686,
-0.6392280459403992,
-0.242836132645607... |
Detailed Instructions: You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from th... | Option A | 8 | NIv2 | task750_aqua_multiple_choice_answering | zs_opt | [
0.19778840243816376,
0.34502094984054565,
-0.6377627849578857,
0.03313639387488365,
-0.23385003209114075,
-0.21966680884361267,
0.5895649194717407,
0.9383270740509033,
-0.4718672037124634,
-0.2595909833908081,
-1.1349639892578125,
-0.07173612713813782,
-0.12838342785835266,
-0.255846738815... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Example Inpu... | Unidentifiable
| 3 | NIv2 | task351_winomt_classification_gender_identifiability_anti | fs_opt | [
-0.9437883496284485,
0.5509324073791504,
-0.17036613821983337,
-0.7961006164550781,
0.2831417918205261,
-0.061341993510723114,
-0.1931619942188263,
0.6511449217796326,
0.7418768405914307,
0.062136098742485046,
-0.8870930671691895,
-0.09515709429979324,
-0.23075367510318756,
-0.251920729875... |
instruction:
You are given a statement written in Telugu. 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 .
question:
Statement: గ్రామంలో ప్రభుత్వ ప్రాథమిక పాఠశాల ఒకటి ఉంది.సమీప బాలబడి, మాధ్యమిక పాఠశాలలు సిర్ప... | వికారాబాద్లోనూ
| 9 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | fs_opt | [
0.657215416431427,
0.4632575511932373,
0.3311808705329895,
0.30753931403160095,
0.42269235849380493,
-1.1784443855285645,
0.4366450607776642,
1.0271713733673096,
-0.46747952699661255,
0.38654762506484985,
-0.35024964809417725,
0.5094164609909058,
-0.41413944959640503,
-0.29603421688079834,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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 t... | angry | 0 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
0.28133419156074524,
0.4930967390537262,
0.09260053187608719,
-0.45231306552886963,
-0.12726733088493347,
-0.424823522567749,
1.2776882648468018,
0.6129337549209595,
0.44434088468551636,
-0.4046088457107544,
-0.15009137988090515,
-0.31052789092063904,
-0.4683210551738739,
0.685303747653961... |
This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Der vehemente Widerstand der Europäischen Zentralb... | La oposición vehemente del Banco Central Europeo a algo esencial para todas las economías capitalistas –la reestructuración de la deuda de las entidades en quiebra o insolventes– evidencia la continua fragilidad del sistema bancario occidental. | 0 | NIv2 | task1373_newscomm_translation | zs_opt | [
-0.512345552444458,
0.5041341781616211,
-0.15818007290363312,
-0.025427542626857758,
-0.1463894248008728,
-0.17537401616573334,
0.9569495916366577,
0.9708018898963928,
0.2028830200433731,
-0.07829692959785461,
-0.15813495218753815,
0.004565470386296511,
-0.7580379247665405,
-0.192548274993... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
Let me give you an example: ingredients: '1 cup minced onion', '1 1/2 tablespoons lemon juice', '3/4 teaspoon Hungarian paprika', '3/4 teaspoon ground cayenne pepper', '1/4 teaspoon salt', <sep> directions: 'Rinse... | Deviled Mushrooms | 8 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
1.053303837776184,
0.8370432257652283,
-0.3073120713233948,
0.907258152961731,
0.2523438334465027,
-0.9426892995834351,
0.3529890775680542,
1.1008803844451904,
-0.3074917197227478,
-0.4695868492126465,
-0.14594371616840363,
0.27261123061180115,
-0.6393343210220337,
0.07643511891365051,
0... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
قد أخذنا المخطوط ، وقرّرنا أن نصوّره بالأشعة السينية الفلوريّة.
A: | Bem, pegámos no manuscrito, e decidimos vê-lo através de imagens de fluorescência de raios X. | 7 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
-0.5728820562362671,
0.8704476356506348,
-0.09133006632328033,
-0.1767435371875763,
-0.5425465106964111,
-0.3355923891067505,
0.2540985941886902,
0.8617894649505615,
1.35011625289917,
-0.06461107730865479,
-0.4534032344818115,
0.3577025532722473,
-0.24093787372112274,
0.7529118061065674,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a conversation between a flight agent and the customer. You are given 4 options and you need to select the goal of the conversation. It is provided as part of customer's context, which has to be one of the following... | cancel | 1 | NIv2 | task573_air_dialogue_classification | zs_opt | [
-0.19850361347198486,
0.14279597997665405,
-0.25690945982933044,
-0.1452077329158783,
0.6209742426872253,
0.061864450573921204,
0.8684360384941101,
0.3983306288719177,
-0.034642916172742844,
0.40819844603538513,
0.3507534861564636,
-0.5927523374557495,
-0.29674476385116577,
-0.306109517812... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the numbers 0 (entailment), 1 (neutral), or 2(cont... | Output: 2
| 2 | NIv2 | task1612_sick_label_classification | fs_opt | [
-0.24552948772907257,
0.060912251472473145,
0.1290847361087799,
0.32664594054222107,
0.3158932328224182,
-0.5668329000473022,
-0.15241234004497528,
0.38567161560058594,
0.39358770847320557,
-0.29315757751464844,
-1.0174280405044556,
-0.8222012519836426,
0.19508445262908936,
0.0187917761504... |
Q: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Question: Who was picked first in the dr... | Smith was originally drafted by the Boston Bruins in the second round (7th overall) in the 1966 NHL Amateur Draft | 7 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
0.7724896669387817,
0.39529159665107727,
-0.2701297104358673,
0.17879337072372437,
0.8030301332473755,
-0.7965424060821533,
0.959446907043457,
0.6317309141159058,
0.35793375968933105,
0.06961819529533386,
-0.24713347852230072,
0.4680713415145874,
-0.8964884281158447,
0.6165955066680908,
... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Było dość późno po południu, a my mieliśmy sporo drinków za sobą.
| وكان الوقت متأخراً في المساء ، وكنا قد شربنا كثيراً | 5 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.025792241096496582,
1.1203945875167847,
0.5320404171943665,
-0.6163134574890137,
-0.4879368841648102,
-0.34996649622917175,
1.1936869621276855,
-0.58498215675354,
0.6786989569664001,
-0.02411472611129284,
-0.44831472635269165,
0.20202010869979858,
-1.320351243019104,
0.5966060161590576,... |
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 Malayalam language. The translation must not omit or add information to the original sentence.
English translation has also been added to ensure wider reach.
Output: | ഇംഗ്ലീഷ് വിവര്ത്തനവും ഇതില് കൂട്ടി ചേര്ത്തിട്ടുണ്ട്. | 1 | NIv2 | task1021_pib_translation_english_malayalam | zs_opt | [
0.034909434616565704,
0.7289191484451294,
0.15282893180847168,
-0.48559731245040894,
-0.0854700431227684,
-0.47825756669044495,
0.8998184204101562,
0.36656439304351807,
-0.07646066695451736,
0.12979024648666382,
-0.378812313079834,
-0.2161906659603119,
-0.8038669228553772,
0.14363470673561... |
Q: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
['N', 'p', 'D',... | 5, 6, 7, 9, 12, 13, 16, 17, 21, 22, 24, 26, 28, 29, 32, 33, 35 | 7 | NIv2 | task507_position_of_all_numerical_elements_in_list | zs_opt | [
-0.4920473098754883,
0.8217034339904785,
-0.09322141110897064,
-0.6656954288482666,
0.14078402519226074,
-0.4611812233924866,
0.8821465969085693,
-0.026799971237778664,
-0.29734015464782715,
0.8033897280693054,
-0.2303633987903595,
0.15858854353427887,
-0.29200586676597595,
0.0982012227177... |
Part 1. Definition
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Part 2. Example
Sox - 4 is important for very early B - cell differentiation , while TCF - 1 / LEF - 1 play a crucial role... | endogenous E2A promoter | 7 | NIv2 | task1480_gene_extraction_jnlpba_dataset | fs_opt | [
0.050847284495830536,
0.25768935680389404,
-0.36374256014823914,
-0.19724366068840027,
0.34173887968063354,
-0.5545491576194763,
0.23798543214797974,
0.8401384353637695,
0.003516241442412138,
-0.3436121940612793,
-0.5661446452140808,
0.02270510233938694,
-0.4620080590248108,
-0.43078827857... |
Given the task definition and input, reply with output. In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
I don't know if it's the cactus or the tequila or just the unique combination of ingredie... | True | 5 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
-0.2873239517211914,
-0.05764322727918625,
0.08842244744300842,
0.6172245740890503,
0.6051587462425232,
-0.4925186038017273,
0.0711551085114479,
0.5782181024551392,
-0.2714768946170807,
0.14567434787750244,
-0.01179632917046547,
-0.14708000421524048,
-0.9639711380004883,
-0.444403350353240... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwi... | No
| 7 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.37696173787117004,
0.20246276259422302,
-0.41541120409965515,
0.21170267462730408,
-0.15315349400043488,
-1.0438318252563477,
0.15028563141822815,
0.9501395225524902,
-0.22654104232788086,
-0.062316905707120895,
-0.40842777490615845,
0.23780827224254608,
-0.3174048066139221,
-0.15113633... |
Detailed Instructions: You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Problem:Sentence1: That'll be all, thanks so much for your assistance! Sentence2: The price of the train would be 17.60 pounds. Anything else you need? Sentence3: You'... | Answer: (B) System | 8 | NIv2 | task638_multi_woz_classification | zs_opt | [
0.7456434369087219,
-0.14081290364265442,
-0.6548251509666443,
-0.3086393475532532,
0.20592492818832397,
-0.7262542247772217,
0.12120772898197174,
0.4080338478088379,
0.5282961130142212,
-0.3670194149017334,
-0.23923608660697937,
-0.4025405943393707,
0.3001180589199066,
-0.1423302590847015... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Q: When did the first large winter carnival take place in quebec city?
A: | When was the first winter carnival in Quebec City? | 4 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
-0.11056403070688248,
1.339064598083496,
0.7287259697914124,
-0.1525440216064453,
-0.2281048744916916,
-0.25440067052841187,
-0.015872091054916382,
0.4734812378883362,
0.09865640103816986,
-0.680802583694458,
0.3904542326927185,
-0.2726952135562897,
-1.0127382278442383,
-0.0901993736624717... |
Q: In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversion" b... | Inversion | 7 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.6342160701751709,
1.075505018234253,
0.6381579637527466,
0.25292909145355225,
-0.05269232392311096,
-0.4900672435760498,
0.18369236588478088,
0.7306312322616577,
0.05758371204137802,
0.17301423847675323,
-0.22987100481987,
-0.52215975522995,
-0.7396753430366516,
-0.3512548804283142,
0... |
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".
Example Input: Review: (David H. Steinberg)'s script seemed initia... | no
| 3 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.22981801629066467,
0.13914835453033447,
-0.2735367715358734,
-0.15553529560565948,
0.4124611020088196,
-0.13756704330444336,
0.5551019906997681,
0.9431142210960388,
-0.21137937903404236,
-0.0339009165763855,
-0.011549564078450203,
0.3095523416996002,
0.031076056882739067,
-0.51579177379... |
Given the task definition and input, reply with output. Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Nang oras na iyon, may mga halos 50 tao ang nasa loob, karamihan ay mga pamilya na may mg... | その時点でおよそ50人の人々が中にいたが、ほとんどは子連れの家族であった。 | 5 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-0.08193005621433258,
0.6564168930053711,
-0.3018098473548889,
0.12907804548740387,
0.028982089832425117,
-0.05291588604450226,
0.6405379176139832,
0.2241952121257782,
0.4046515226364136,
-0.47053956985473633,
-0.601621687412262,
0.5863065719604492,
-0.7845863103866577,
0.5721021890640259,... |
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.
Example input: Personality: I like spending time with my friends and family.
I like listenin... | I fly planes. I like to build computers in my free time. | 3 | NIv2 | task1730_personachat_choose_next | fs_opt | [
-0.002172059379518032,
0.0072164032608270645,
-0.7153192758560181,
0.019216466695070267,
0.1154923364520073,
-0.3597581088542938,
1.349595069885254,
0.15615999698638916,
-0.6268655061721802,
-0.28439512848854065,
-0.13754037022590637,
0.0888131707906723,
-0.3860298991203308,
-0.27161318063... |
Teacher:Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear ... | Positive | 6 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-1.2340030670166016,
0.2906659245491028,
1.0098973512649536,
-0.12450805306434631,
0.19100035727024078,
-0.8820769190788269,
0.6821925640106201,
0.2946733832359314,
0.9191246628761292,
-0.003236764343455434,
0.27144497632980347,
0.5504391193389893,
-0.16071566939353943,
-0.5573155879974365... |
You are given a statement written in Bengali. 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 .
Ex Input:
Statement: ইসলামি জ্যোতির্বিদ্যা গঠিত হয় ইসলামি বিশ্বে সৃষ্ট জ্যোতির্বিজ্ঞান-সংক্রান্ত অগ্রগতি নিয়... | পৌরসভা
| 1 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | fs_opt | [
0.6871274709701538,
0.5634801983833313,
0.23477497696876526,
0.7966090440750122,
-0.2949441373348236,
-0.6349682807922363,
-0.18340124189853668,
0.8083521127700806,
0.4553888440132141,
-0.033765584230422974,
-0.3942979574203491,
0.919368326663971,
-0.9368569850921631,
-0.37263303995132446,... |
You are given a sentence and a question. You're expected to write an **incorrect** answer to the given question, such that it is relevant to the given sentence. Your answer should not be completely out of context. Try to write short answers with one or two words.
[EX Q]: Sentence: Jed was tired of listening to one of ... | Norma
| 6 | NIv2 | task1383_quarel_write_incorrect_answer | fs_opt | [
-0.8001948595046997,
0.8272751569747925,
-0.5057554841041565,
-0.1269606351852417,
-0.10621774196624756,
-0.52776038646698,
0.10950595140457153,
0.4968007504940033,
0.07115186005830765,
-0.02675284817814827,
-0.6250790357589722,
0.33099162578582764,
-0.6248374581336975,
0.07867297530174255... |
Teacher:In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Teacher: Now, understand the problem? Solve this instance: In 1846, Benjamin Barker, a barber, arrives in Lond... | Answer: Todd | 6 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.45059114694595337,
0.5364707112312317,
-0.332866907119751,
-0.42037051916122437,
0.8731999397277832,
0.1629808396100998,
0.9106855392456055,
0.5149542093276978,
-0.3875386714935303,
0.5880886912345886,
0.1073053702712059,
0.32039177417755127,
-0.7280816435813904,
0.38176292181015015,
-... |
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 ... | PersonX was a considerate co-worker but PersonY was not, because _ never microwaved tilapia in the office kitchen. | 3 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.7071840167045593,
0.7245457172393799,
-0.02111545391380787,
0.21276280283927917,
-0.11976586282253265,
-0.8392492532730103,
0.8333327770233154,
0.851594865322113,
-0.043876513838768005,
-0.44780653715133667,
0.08256438374519348,
-0.07607299089431763,
-0.47174471616744995,
0.3630981743335... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
English: We insist that these violations of human rights are investigated.
Spanish:Exigimos que estas violaciones de los derec... | No
| 0 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
-0.29152095317840576,
0.5833601951599121,
0.6612424254417419,
-0.2940335273742676,
0.012440175749361515,
-0.8715494871139526,
0.4180145263671875,
0.8645172119140625,
0.13343122601509094,
0.20959939062595367,
-0.02717510238289833,
0.13464388251304626,
-0.7873106598854065,
-0.208212584257125... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Ex Input:
E poi come utilizzerete queste cose nel capire potenziali discontinuità per poi prendere la decisione di fare qualcosa in questo preciso momento in modo tale da essere preparati e pronti?
Ex Output:
وبعد ، كيف تس... | هذا الصوت المزعج الذى يحيط بأذنيك طوال الليل و الذى يقودك للجنون المطبق ؟
| 1 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.6518411040306091,
0.19011962413787842,
-0.03831849992275238,
-0.10798974335193634,
-0.7102153301239014,
-0.2749064266681671,
1.053200364112854,
0.44567611813545227,
0.45661816000938416,
-0.7628392577171326,
-0.9168226718902588,
0.44262081384658813,
-0.7054301500320435,
0.167378798127174... |
In this task, you are given product reviews about dvds. The goal is to classify the review as "POS" if the overall sentiment of the review is positive(the reviewer is satisfied) or as "NEG" if the overall sentiment of the review is negative(the reviewer is not satisfied).
Q: Its a heartbreaker. . This extremely expurga... | NEG | 4 | NIv2 | task477_cls_english_dvd_classification | zs_opt | [
-0.19447392225265503,
-0.7156974673271179,
-0.007333111949265003,
0.63898766040802,
0.3255813717842102,
-0.30925703048706055,
0.9939620494842529,
0.1657709926366806,
0.15247613191604614,
0.42168694734573364,
0.15936420857906342,
-0.8177447319030762,
-0.1131182312965393,
-0.174147367477417,... |
Instructions: In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, cho... | World | 3 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.5273185968399048,
0.06476464867591858,
-0.6989626884460449,
0.3818591833114624,
-0.027519963681697845,
0.3905988335609436,
-0.20497916638851166,
-0.11609476804733276,
-0.2417106330394745,
0.38707494735717773,
-0.6295128464698792,
0.1922130584716797,
-0.5419005751609802,
0.01690270379185... |
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.
Category: physical activity
Words: bend, jog, get down, duck, pig
pig
Category: shady activities
Words: invent, smuggled, smear,... | emotional
| 0 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
0.003915267530828714,
0.5629812479019165,
-0.6766892671585083,
0.11119626462459564,
0.15534865856170654,
0.18782159686088562,
-0.3744558095932007,
0.0693516954779625,
0.10313865542411804,
-0.17520397901535034,
-0.922494649887085,
-0.07184174656867981,
-0.9962607622146606,
-0.38584288954734... |
instruction:
Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
question:
Redwoods reproduce ____ ways.\Question: Choose the right answer from options given a) zero b) two c) six d) nine
answer:
b
... | d
| 9 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
0.21380001306533813,
0.925963282585144,
-0.5290727615356445,
-0.37671375274658203,
-0.7075357437133789,
-0.7682367563247681,
0.8879164457321167,
0.7704626321792603,
-0.5901889801025391,
0.2545442581176758,
-0.6428983807563782,
-0.5364052653312683,
-0.6051027178764343,
0.7213118076324463,
... |
Q: Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second e... | yes | 7 | NIv2 | task472_haspart_classification | zs_opt | [
-0.4002569019794464,
0.5410712957382202,
0.3300216794013977,
0.1485942006111145,
-0.10811164975166321,
-0.9571454524993896,
0.0424373596906662,
0.8465920686721802,
0.8033403754234314,
-0.4961133599281311,
-0.2272878885269165,
-0.45772939920425415,
-0.24984049797058105,
-0.21107125282287598... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st eleme... | 1, 3, 6, 8, 11, 16, 17, 18 | 1 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
-0.009533485397696495,
0.5264557003974915,
-0.21773545444011688,
-0.722121000289917,
0.33685386180877686,
-0.05076875910162926,
1.2369471788406372,
-0.059994038194417953,
0.1574113368988037,
0.40229126811027527,
-0.3401431441307068,
-0.16982655227184296,
0.19077426195144653,
-0.08015263080... |
In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
--------
Question: Review: Worked for 1 out of 4 ball joints. The clamp bent and was very difficult to hold all the parts in the... | False
| 7 | NIv2 | task1313_amazonreview_polarity_classification | fs_opt | [
0.03853597119450569,
0.07894062995910645,
-0.30793139338493347,
0.23551389575004578,
0.24632206559181213,
-0.5997068881988525,
0.7699346542358398,
0.02730850875377655,
0.6251372694969177,
0.02897913008928299,
-0.550958514213562,
0.5779052376747131,
-0.16734015941619873,
-0.0335976891219615... |
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Example: Contex... | Solution: B | 5 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
0.2836545705795288,
0.565779983997345,
0.09703973680734634,
0.14871728420257568,
-0.06918731331825256,
-0.1506567895412445,
0.495681494474411,
0.062222644686698914,
-0.029694456607103348,
0.13273802399635315,
-0.5278086066246033,
0.028718022629618645,
0.16459967195987701,
-0.72599536180496... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Problem:Era a moza, a médica, quen limpou as feridas deste cativo e as tapou.
Solution: | Fu la giovane assistente che ripulì le ferite della bimba e le medicò. | 8 | NIv2 | task1243_ted_translation_gl_it | zs_opt | [
0.07865192741155624,
0.5809681415557861,
-0.6061253547668457,
-0.6278257369995117,
0.09219321608543396,
-1.1869709491729736,
-0.11929056793451309,
1.436415433883667,
-0.25481119751930237,
-0.08773382008075714,
-0.18169839680194855,
0.11928059160709381,
-0.5256811380386353,
0.11160729825496... |
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. Your job is to translate the English sentence into the Spanish language.
It is NOT a function of the intermediate filaments
Solution: ... | ¿Se puede administrar la vacunación antigripal inactiva durante el embarazo? | 0 | NIv2 | task1432_head_qa_language_translation_en_to_es | fs_opt | [
-0.6155375242233276,
0.04295136779546738,
0.3285282254219055,
-0.13104136288166046,
-0.28880253434181213,
0.05216655135154724,
0.6388764381408691,
0.8259118795394897,
0.23025411367416382,
-0.5403716564178467,
-0.3029302954673767,
0.17253684997558594,
0.1396702229976654,
0.4995803236961365,... |
Given the task definition and input, reply with output. In this task you are expected to fix an SQL query based on feedback. You will be given an SQL statement and an English description with what is wrong about that SQL statement. You must correct the SQL statement based off of the feedback. An SQL query works by sele... | SELECT count(*) FROM customers | 5 | NIv2 | task076_splash_correcting_sql_mistake | zs_opt | [
0.39308595657348633,
0.6412573456764221,
-0.9707176685333252,
0.797999382019043,
-0.4883924126625061,
-0.32508426904678345,
0.5435696840286255,
0.8509361147880554,
-0.24515527486801147,
0.4324345886707306,
0.11382533609867096,
0.4702206254005432,
-0.09842998534440994,
0.4639979898929596,
... |
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Example Input: The B cell is a key player in the pathogenesis of systemic lupus erythematosus (SLE). ... | 0
| 3 | NIv2 | task848_pubmedqa_classification | fs_opt | [
0.8009439706802368,
0.2509801983833313,
-0.5673501491546631,
0.04559437930583954,
0.8049665689468384,
-0.913947343826294,
0.343809574842453,
1.0554753541946411,
0.23463305830955505,
0.6468150615692139,
-0.6731659770011902,
0.32483822107315063,
-0.0029732927214354277,
-0.20039312541484833,
... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
[Q]: شاید حتی مهمتر از خانههای بزرگتر و مجللتر باشد،
[A]: looked up to, perhaps, as leading it even more than those of larger fortune,
[Q]: سؤال کنم چه اقدامی در مورد شما به عمل خواهند آورد.
[A]: in the question of w... | The black eyed girl smiled gratification and greeting,
| 5 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.5220209360122681,
0.8023443222045898,
-0.015373842790722847,
-0.6692148447036743,
-0.3190351724624634,
0.23334968090057373,
0.4022306799888611,
0.2083679735660553,
0.4890417754650116,
0.05065588280558586,
-0.6660448312759399,
0.7494824528694153,
-0.5070769786834717,
0.2659953534603119,
... |
In this task, you need to count the number of nouns/verbs in the given sentence.
Example: Sentence: 'A small toy kept on tray held by a man'. Count the number of nouns in this sentence.
Example solution: 3
Example explanation: The words 'toy', 'tray', and 'man' are nouns in this sentence. So, the answer is 3.
Problem:... | Solution: 2 | 5 | NIv2 | task155_count_nouns_verbs | fs_opt | [
0.7334905862808228,
0.9052062630653381,
-0.5193220376968384,
-0.6063923835754395,
-0.03806164115667343,
-0.7943156361579895,
0.7760348320007324,
0.5850752592086792,
-0.4139000177383423,
-0.050283465534448624,
-0.34755733609199524,
0.36159053444862366,
-0.24811837077140808,
0.35830762982368... |
Given the task definition and input, reply with output. The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Topic: We should adopt... | False | 5 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
0.08428140729665756,
0.8234175443649292,
0.005901881493628025,
-0.11689594388008118,
-0.06373385339975357,
-0.0024034560192376375,
0.05184323713183403,
0.5451073050498962,
0.2551274597644806,
-0.06630083918571472,
-0.3542710244655609,
0.2857075333595276,
-0.2406880408525467,
-0.25526195764... |
Given a paragraph from a Wikipedia article about some topic, and a question related to the topic, determine whether the question is answerable from the paragraph. If the question is answerable, answer "True", otherwise, answer "False".
Q: The long-awaited takeover of Universal Pictures by MCA, Inc. happened in mid-196... | False
****
| 4 | NIv2 | task1640_aqa1.0_answerable_unanswerable_question_classification | fs_opt | [
0.9591934680938721,
0.27837494015693665,
-0.31717291474342346,
0.2318868637084961,
0.0828198492527008,
-0.12977935373783112,
0.47473835945129395,
1.2029099464416504,
-0.21500049531459808,
-0.5824401378631592,
-0.5333526134490967,
0.02148257941007614,
-0.3737297058105469,
0.2649383544921875... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: Così i Rosling sono riusciti a creare la semplicità senza togliere ciò che è importante a livello informativo.
Student: | Ludzie pokroju Roslinga osiągnęli prostotę bez pomijania najważniejszych cech danych. | 6 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-0.7815765738487244,
0.7006709575653076,
-0.06655547767877579,
-0.14370191097259521,
-0.22186104953289032,
-1.2903425693511963,
0.7925330400466919,
0.032209984958171844,
-0.053473275154829025,
-0.6286936402320862,
-0.3641391694545746,
-0.37789803743362427,
0.4980296492576599,
-0.5380902886... |
Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Tony Blair berkata bahwa bagian penting dari perjanjian ini adalah bahwa semua pihak menerima kepolisian dan pengadilan dan mem... | トニー・ブレアは、協定の本質的な部分は、すべての当事者が警察と裁判所を受け入れ、力を共有する明確な合意を持つことだと述べた。 | 0 | NIv2 | task1116_alt_id_ja_translation | zs_opt | [
-0.12305304408073425,
1.0238702297210693,
0.08434964716434479,
0.04803811013698578,
-0.13699214160442352,
-0.3230736255645752,
1.004835605621338,
-0.3307225704193115,
0.3499704599380493,
-0.4493248760700226,
-0.239094078540802,
0.8953611850738525,
-1.2313778400421143,
0.4870590567588806,
... |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justificati... | an asexual would be A0, B0 | 0 | NIv2 | task075_squad1.1_answer_generation | zs_opt | [
-0.1529216468334198,
0.4220963716506958,
0.3284069299697876,
-0.5167423486709595,
0.11298152804374695,
-0.24506764113903046,
0.6941583156585693,
0.27562427520751953,
0.41287586092948914,
0.16313841938972473,
-0.8706557750701904,
0.16428662836551666,
-0.4870004653930664,
-0.3222124576568603... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
In... | Output: Offensive
| 2 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.3522091507911682,
0.30790087580680847,
0.3944205641746521,
0.7285776734352112,
0.10256490111351013,
-1.1344393491744995,
-0.2619476914405823,
0.6497160792350769,
0.40900248289108276,
0.49153000116348267,
-0.188505619764328,
-0.3324087858200073,
-0.49583348631858826,
-0.9067648649215698,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
لذلك قررت أن أجعل الوقت كمربعات الشطرنج في هذه الصورة.
Output: | So I decided, in this photograph, I would checkerboard time. | 1 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-0.49677231907844543,
0.6385972499847412,
0.009803100489079952,
-0.4225677251815796,
-0.10321394354104996,
0.01618705317378044,
0.9483493566513062,
0.01745687983930111,
0.9428266286849976,
-0.177369624376297,
-0.39886969327926636,
-0.19466885924339294,
-0.5237456560134888,
0.00248400866985... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Agora busquemos esa área das caras da que estiven falando, que reacciona ante imaxes coma estas. | お話ししてきたこのような写真に反応する顔領域を探しましょう | 0 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.3992123305797577,
0.5941869020462036,
0.07088577747344971,
-0.7801116704940796,
-0.26596957445144653,
-0.33231261372566223,
0.38876837491989136,
0.3255653977394104,
0.4311625361442566,
-0.7170367240905762,
-0.49715059995651245,
-0.31977587938308716,
-0.5977398753166199,
1.15615916252136... |
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 | 9 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.18781158328056335,
0.11854872852563858,
-0.1325322687625885,
0.4964290261268616,
0.11785268038511276,
-0.7867345809936523,
0.39993882179260254,
0.9393441677093506,
0.013861939311027527,
0.47912558913230896,
-0.8566160202026367,
-0.3615894317626953,
0.13527071475982666,
-0.016391038894653... |
Q: In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the clo... | Sci/Tech | 7 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.787706732749939,
0.35387587547302246,
0.014795476570725441,
0.3396260440349579,
-0.03912322223186493,
-0.49234700202941895,
-0.22663438320159912,
-0.23744578659534454,
-0.24380452930927277,
0.19098524749279022,
-0.5200203657150269,
0.04900013655424118,
0.055571626871824265,
-0.168421760... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence.
Q: हमारे यहां किसान खेती के साथ-साथ उससे जुड़े और भी अलग-अलग व्यवसाय करते हैं।
A: | In our country farmers take up different occupations along with the farming. | 9 | NIv2 | task1024_pib_translation_hindi_english | zs_opt | [
-0.029724955558776855,
0.3598340153694153,
0.3316401243209839,
0.32107698917388916,
-0.12435363233089447,
-1.2844674587249756,
0.058730848133563995,
0.7758470177650452,
-0.43474066257476807,
0.009504352696239948,
-0.9280080199241638,
0.2649111747741699,
-0.7745412588119507,
0.6811838150024... |
In this task, you need to reverse the order of words in the given sentence.
Example input: Sentence: luggage surrounds a vehicle in an underground parking area
Example output: area parking underground an in vehicle a surrounds luggage
Example explanation: This is a correct answer, as it correctly reverses the order of... | nowhere of middle the in road a on jammed is traffic | 3 | NIv2 | task376_reverse_order_of_words | fs_opt | [
-0.09038509428501129,
0.8821372985839844,
0.1700962483882904,
-0.20350274443626404,
-0.07506333291530609,
0.005594783928245306,
0.1200021281838417,
0.5492106676101685,
0.24591252207756042,
0.17343130707740784,
-1.03461492061615,
-0.2902986407279968,
-0.10615058243274689,
-0.731164097785949... |
Detailed Instructions: In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Problem:Sentence... | entails | 8 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.009289711713790894,
0.27707439661026,
-0.36955052614212036,
0.4410427212715149,
-0.3987705707550049,
-1.200165033340454,
-0.23655760288238525,
0.7801474332809448,
0.3510046601295471,
-0.13834381103515625,
-0.43329793214797974,
-0.44049394130706787,
-0.07391069829463959,
-0.0234237238764... |
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