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 |
|---|---|---|---|---|---|---|
Teacher: 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 .
Teacher: Now, understand the problem? If you are still confused, see the following example:
Statement: ১... | ব্রিসবেনে | 2 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | fs_opt | [
0.27531686425209045,
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-0.022256694734096527,
1.031889796257019,
-0.07004179060459137,
-0.111273810267... |
Q: A text is given in Tamil. Translate it from the Tamil language to the Malayalam language. The translation must not omit or add information to the original sentence.
அகமதாபாத் மெட்ரோ ரயில் சேவையின் முதல் கட்டத்தை வஸ்த்ரால் காம் மெட்ரோ நிலையத்தில் பிரதமர் தொடங்கிவைத்தார்.
A: | അഹമ്മദാബാദിലെ വാസ്ട്രല് ഗാം മെട്രോ സ്റ്റേഷനില് അഹമ്മദാബാദ് മെട്രോ സര്വീസിന്റെ ഒന്നാം ഘട്ടം പ്രധാനമന്ത്രി ഉദ്ഘാടനം ചെയ്തു. | 7 | NIv2 | task1000_pib_translation_tamil_malayalam | zs_opt | [
0.5780162811279297,
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... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
هنا المقطع الرذيسي حيث يصف تجربة الدرج الصاعد.
| הנה פסקה מרכזית בה הוא מתאר למעשה את גרם המדרגות. | 5 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.8138179779052734,
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-0.11328908801078796,
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-1.1175508499145508,
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-0.6883149743080139,
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... |
Detailed Instructions: 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 find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, an... | 99732175q79934781UG | 8 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.36394965648651123,
0.7106626033782959,
-0.3714277446269989,
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-0.2692028880119324,
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0.19780507683... |
Detailed Instructions: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Problem:Title: Low Clearance. Senten... | They played the whole night. | 8 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.41879144310951233,
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-0.5527265667915344,
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-0.0657038539648056,
-0.7590556740760803,
-0.1516266167163849,
-0.10887093096971512,
0.491533458232879... |
Given the task definition and input, reply with output. In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).... | Yes | 5 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.2404952496290207,
0.07039714604616165,
0.5735275745391846,
0.0581163614988327,
-0.19975697994232178,
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0.404676616191864,
0.9831603765487671,
-0.5884907245635986,
-0.18618875741958618,
-0.36612123250961304,
-0.5327155590057373,
-0.6273127794265747,
-0.14303827285766602,... |
Given the task definition and input, reply with output. In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Mehr erwartet . Ich habe mir von d... | NEG | 5 | NIv2 | task479_cls_german_books_classification | zs_opt | [
-1.0225567817687988,
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-0.021320879459381104,
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... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Q: Sentence: 'a police car parked on a red curb next to a fire hydrant'. Remove all words of length '2' in the given sentence.
A: | a police car parked a red curb next a fire hydrant | 4 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
-0.2467888593673706,
0.2535591721534729,
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-0.6086480021476746,
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-1.1931780576705933,
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-0.301128685474395... |
Definition: In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Input: Sentence1: When Jay found out her older sister was pregn... | Yes | 2 | NIv2 | task298_storycloze_correct_end_classification | zs_opt | [
-0.37485113739967346,
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-0.608299732208252,
-0.3688462972640991,
-0.4704163372516632,
0.37638783454895... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | Output: True
| 2 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.3385491371154785,
0.49348652362823486,
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0.35473740100860596,... |
Part 1. Definition
You are given a sentence in English. Your job is to translate the English sentence into Polish.
Part 2. Example
It's sort of the biggest TiVo box you've ever seen.
Answer: To największa nagrywarka, jaką w życiu widzieliście.
Explanation: The English sentence is correctly translated into Polish, becau... | Po drugie, celownik często się psuje. | 7 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-0.24379460513591766,
0.6650506258010864,
0.23750537633895874,
0.6528106927871704,
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0.858435869216919,
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0.06181114912033081,
0.13221830129623413,
0.36305713653564453,
-0.7172528505325317,
0.496554434299469... |
instruction:
In this task, you must classify if a given review is positive/negative, indicating your answer as P or N.
question:
studio expectations must not have been high for " great expectations " -- the film 's release date was pushed from late december to late january at what appeared to be the last minute , there... | P
| 9 | NIv2 | task1361_movierationales_classification | fs_opt | [
0.5415446758270264,
0.3909229040145874,
-0.30802661180496216,
-0.25322628021240234,
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0.13969916105270386,
0.500153124332428,
-0.6240170001983643,
0.14861726760864258,
... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: Dobre wieści, te ekscytujące są takie, że nie podróżujemy sami.
Student: | الخبر الجيد الذي يمكنني مشاركته اليوم ، الخبر المثير هو أننا لا نقوم بهذا لوحدنا. | 6 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.6804906129837036,
0.2760777473449707,
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-1.0371752977371216,
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1.1248565912246704,
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0.30268460512161255,
0.18317463994026184,
-0.16353905200958252,
0.0184730626642704,
-0.6622086763381958,
-0.19991797208786... |
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.
[Q]: In 2005, elderly Daisy Fuller is on her deathbed in a New Orleans hospital as Hurricane Katrina approaches; she ... | Answer: Judge
| 5 | NIv2 | task194_duorc_answer_generation | fs_opt | [
1.1932096481323242,
0.26607805490493774,
-0.6863273978233337,
0.013204282149672508,
0.49178606271743774,
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0.8946357369422913,
-0.16849985718727112,
0.9983658790588379,
-0.5965085029602051,
0.7173383235931396,
... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'... | formal
| 6 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
0.12245720624923706,
-0.2495519518852234,
0.17253351211547852,
-0.4470727741718292,
0.17214062809944153,
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0.1249307394027... |
Definition: This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample ... | How many combined field goals were kicked in the game? | 2 | NIv2 | task026_drop_question_generation | zs_opt | [
0.8661149740219116,
0.5820742845535278,
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0.583845317363739,
0.028083916753530502,
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-0.2981928586959839,
0.3926975131034851,
-1.056069254875183,
0.20861515402793884,
... |
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Example input: PersonX sees ___ in the wild
Example output: tiger
Example explanatio... | bed | 3 | NIv2 | task1217_atomic_answer_generation | fs_opt | [
-0.8858808279037476,
0.812164306640625,
-0.38923972845077515,
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0.789537787437439,
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-0.03619613125920296,
-0.8986958265304565,
-0.29335880279541016,
0.078183114528656,
... |
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', c... | 1 | 4 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
-0.1870962530374527,
-0.352979451417923,
-0.1184416115283966,
0.5134813189506531,
0.5877779722213745,
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-0.3965834379196167,
-0.3395741879940033,
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... |
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
--------
Question: Tweet: @anonymized_account ja czuje, ze tutaj nie bedzie zadnej osobki z tych miast😒 , Question: Is the tweet free of any cyberbullying (harmful) content?
Answer: Yes
Question: Tweet: ... | Yes
| 7 | NIv2 | task839_cdt_classification | fs_opt | [
-0.8281140327453613,
0.5906773805618286,
0.49535760283470154,
0.5425885319709778,
-0.04798208177089691,
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0.9562933444976807,
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-0.04802946001291275,
0.4035433530807495,
-0.8552720546722412,
-0.167344719171524... |
Detailed Instructions: In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Q: 2665 - 2678 - 45 + 1983 + 2477 - 9509
A: | 10437 | 9 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.38447389006614685,
0.2098446786403656,
-0.9405134320259094,
0.2150108814239502,
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0.6422432065010071,
1.473118782043457,
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... |
Instructions: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answe... | They have lived a privileged life . | 3 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
-0.047697484493255615,
0.903658390045166,
0.12062181532382965,
0.09635508060455322,
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0.016436690464615822,
1.1849138736724854,
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Definition: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Input: Why hasn't that made a comeback? (Laughter) So then there was a lot more beers, and then the day ended with a challenge to bring the mustache back. (Laughter) So in Australia, "" mo "" is slang for must... | "" porque é que não voltou a estar na moda? "" (Risos) Logo houve muitas mais cervejas, e o dia acabou com o desafio de trazer o bigode de volta. (Risos) Portanto, na Austrália "" Mo "" é calão para bigode [mustache], então renomeámos o mês de Novembro para "" Movembro "", e criámos algumas regras básicas que se mantêm... | 2 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
0.6309055089950562,
0.5341713428497314,
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-0.16025298833847046,
1.0969969034194946,
-0.22637969255447388,
-0.5469955205917358,
-0.37725189328193665,
-0.2694929838180542,
-0.48062628507614136,
-0.03997220098... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: これが我々が話している事なのです
Student: | Eso es de lo que estamos hablando. | 6 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
0.4631013870239258,
0.46394288539886475,
0.7698135375976562,
-0.6439552307128906,
-0.29462337493896484,
-0.5371365547180176,
0.07789842784404755,
0.7905991673469543,
0.9932568073272705,
-0.3643108010292053,
-0.6931798458099365,
0.12748850882053375,
-0.4299955666065216,
-0.3983681797981262,... |
Definition: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny. ... | Funny | 2 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.11618977785110474,
0.039774663746356964,
0.00963924266397953,
-0.21302276849746704,
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0.17072778940200806,
1.0955016613006592,
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-0.2868473529815674,
-0.6878218650817871,
-0.3212968111038208,
-1.0720216035842896,
0.343631088733673... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | jump left thrice after turn opposite left thrice
| 6 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.33757781982421875,
0.6623173356056213,
-0.330390065908432,
0.020377475768327713,
-0.03435789793729782,
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-0.28579017519950867,
-0.1318633109331131,
-0.783280611038208,
-0.3334069848060608,
-0.6899563074111938,
-0.10770978033542... |
Instructions: In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Input: These are actually pretty good little potato puffs... | 3 | 3 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
0.7117648124694824,
-0.5204168558120728,
0.15411905944347382,
0.3099268674850464,
0.12003669142723083,
0.5390012264251709,
0.8383232355117798,
0.7328389883041382,
-0.5045333504676819,
0.28435516357421875,
-0.2865099310874939,
-0.16959920525550842,
-0.5238449573516846,
-0.510431170463562,
... |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Wpisałam również jej wiek, płeć i wzrost.
A: | .و قمت أيضاً بإدخال عمرها, و جنسها, و طولها | 7 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.7512899041175842,
1.0283622741699219,
-0.29499489068984985,
-1.2107222080230713,
-0.06774628162384033,
0.17897948622703552,
0.8271001577377319,
-0.41237789392471313,
0.8072696924209595,
0.12780484557151794,
-0.34880369901657104,
0.16461831331253052,
-0.8859703540802002,
0.31497693061828... |
instruction:
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
question:
Nymphs are less than ____ millimeters in size.
answer:
two
question:
Neurofibromatosis appears in ____ forms.
answer:
two
qu... | three
| 9 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.5121904611587524,
0.6114809513092041,
0.2284063696861267,
0.04435288906097412,
-0.18836107850074768,
-1.0101182460784912,
0.9989887475967407,
0.055204618722200394,
-0.30186647176742554,
0.1693674623966217,
-0.11307297646999359,
0.23638589680194855,
-0.7462458610534668,
-0.24516588449478... |
instruction:
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... | Washington
| 9 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
0.3432227373123169,
0.5759574174880981,
-0.4877554178237915,
0.10875549912452698,
0.553260087966919,
-0.7002381682395935,
0.8149852156639099,
0.6243316531181335,
0.07058127224445343,
0.6323086023330688,
-0.3676539361476898,
0.57536780834198,
-0.6797231435775757,
0.5375131964683533,
0.501... |
Definition: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer... | He feel(s) unbalanced >Motivates> He trips | 2 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.12393106520175934,
0.12704461812973022,
0.3438318371772766,
0.0659928098320961,
-0.07665566354990005,
-0.7712353467941284,
0.9342876672744751,
0.588257908821106,
-0.7557892203330994,
0.10761216282844543,
-0.6064320206642151,
-0.11698417365550995,
-0.08284594863653183,
-0.182719677686691... |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. A... | female duckbill platypus lack a uterus and vagina. | 9 | NIv2 | task038_qasc_combined_fact | fs_opt | [
0.05569148063659668,
0.5520682334899902,
-0.8822720050811768,
0.002479999791830778,
-0.6838390827178955,
-0.9958970546722412,
-0.45986565947532654,
1.1288762092590332,
-0.5577359199523926,
0.05418936163187027,
-1.3223142623901367,
0.5118340253829956,
-0.10979027301073074,
-0.02600874751806... |
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.
One example: Hi. I want information about Namibia.
Nmbia is a country in southern Africa.
Do you have information about the media th... | In 1944 Military advance from the Soviet Union reached LATVIA, heavy fight ensued between them and Germany | 6 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.05810105800628662,
0.25257158279418945,
-0.31404149532318115,
-0.506187379360199,
-0.30708494782447815,
0.24167075753211975,
1.5503015518188477,
-0.12523618340492249,
0.24047818779945374,
0.2326156497001648,
-0.5925511121749878,
-0.2066277265548706,
-0.5772285461425781,
0.143971502780914... |
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Hateful
| 3 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.19462549686431885,
0.18962740898132324,
0.11651898920536041,
0.45245039463043213,
-0.1357746422290802,
-0.4554080069065094,
0.362122505903244,
0.8481483459472656,
-0.006637637037783861,
0.5292885303497314,
-0.09635818004608154,
0.4419836103916168,
-0.5192080140113831,
-0.415759980678558... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Q: Tweet: “@FunnyPicsDepot: bitch in the middle look like a daddy long leg 😭... | true | 4 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.5972824096679688,
0.3853638768196106,
0.71925950050354,
0.6922664642333984,
-0.6451778411865234,
-0.8228815197944641,
0.5332169532775879,
0.3175734877586365,
0.5548081398010254,
0.26817283034324646,
-0.3396952152252197,
-0.21478018164634705,
-0.4812111258506775,
-0.5113162398338318,
0... |
Instructions: Use a disfluent question or a proper question and find the answer to the question based on the given context or return None if an answer can't be found. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any dis... | about a third | 3 | NIv2 | task1625_disfl_qa_asnwer_generation | zs_opt | [
0.4163719117641449,
0.4210229516029358,
-0.7215141654014587,
-0.19617748260498047,
-0.3811679482460022,
-0.390702486038208,
0.9362934827804565,
0.6766584515571594,
0.4402396082878113,
1.0066381692886353,
-0.9442417621612549,
0.8895387053489685,
-0.9748507142066956,
0.979223906993866,
0.6... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Q: אבל לא היו מפות, לא מפות דרכים, לא מפות שמראות בתי חולים, לא היתה דרך לעזרה להגיע לנפגעי הציקלון.
A: | Pero no había mapas, mapas de las carreteras ningún mapa indicando los hospitales, ni forma para llegar a las víctimas del ciclón. | 4 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.40936383605003357,
0.3937637507915497,
0.31920093297958374,
-0.3118470013141632,
0.13260382413864136,
-1.2818562984466553,
0.791041374206543,
0.6689136028289795,
0.508553147315979,
-0.8218806982040405,
0.30650871992111206,
0.4701736271381378,
0.16710501909255981,
0.049002084881067276,
... |
Definition: A text is given in Gujarati. Translate it from the Gujarati language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: మానవ వనరుల అభివృద్ధి
Output: | માનવ સંસાધન વિકાસ | 2 | NIv2 | task1014_pib_translation_telugu_gujarati | zs_opt | [
-0.31524205207824707,
0.4151557683944702,
-0.0066092973574995995,
-0.06549270451068878,
-0.3913782238960266,
-0.3550066649913788,
0.29062169790267944,
0.00017480208771303296,
0.4591898024082184,
-0.9185703992843628,
-0.7885324954986572,
-0.2500368356704712,
-0.6565108299255371,
0.313897162... |
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | 你会投资鱼或能源 因为你想要回报。 | 8 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
0.00010895449668169022,
0.027215275913476944,
-0.3784385919570923,
-0.032780855894088745,
-0.029177682474255562,
-0.5841603875160217,
0.012137203477323055,
0.8471123576164246,
-0.086589515209198,
0.045588135719299316,
-0.43604570627212524,
0.054832711815834045,
-0.09824720770120621,
-0.234... |
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.
['2573', 'i', '43... | 1, 3, 9, 10, 12, 13, 14, 15, 16, 19, 20 | 0 | NIv2 | task507_position_of_all_numerical_elements_in_list | zs_opt | [
-0.6703652143478394,
0.5793449878692627,
0.07674193382263184,
-0.6356552839279175,
0.11779968440532684,
-0.040432389825582504,
0.9901608824729919,
0.10392056405544281,
-0.7352206707000732,
0.3620039224624634,
-0.7198015451431274,
-0.038442984223365784,
-0.35040146112442017,
-0.276582568883... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Guida il trattore.
| He rides his tractor. | 5 | NIv2 | task1247_ted_translation_it_en | zs_opt | [
-0.6069903373718262,
0.5141900777816772,
0.38205400109291077,
0.01892939768731594,
-0.5973403453826904,
-0.6431291699409485,
-0.20606613159179688,
0.18499892950057983,
0.07688452303409576,
0.004319784231483936,
-0.6867735385894775,
-0.25298017263412476,
0.009207199327647686,
0.464914113283... |
Given the task definition and input, reply with output. In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
The next forty-eight hours will give us more da... | Plural | 5 | NIv2 | task431_senteval_object_count | zs_opt | [
-1.4626047611236572,
0.7566636204719543,
0.4783531725406647,
-0.004359653685241938,
-0.5315240621566772,
-0.5015069246292114,
0.4726605713367462,
0.008330555632710457,
0.11005398631095886,
-0.5375949740409851,
-0.20747283101081848,
0.33643966913223267,
-0.1924937665462494,
-0.1208955198526... |
instruction:
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You h... | No
| 9 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.4980561137199402,
0.3503836989402771,
-0.07574449479579926,
-0.08936773985624313,
-0.44272154569625854,
-1.0515589714050293,
1.07827889919281,
0.09734529256820679,
-0.5851396322250366,
-0.21488457918167114,
-0.25852274894714355,
-0.43546241521835327,
-0.7451496124267578,
0.24691972136497... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | Ted did not go to Arizona and visited nature.
| 0 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.10453744232654572,
0.2939794957637787,
-0.2348947376012802,
-0.4100450873374939,
-0.4111858010292053,
-0.005289061460644007,
0.46061986684799194,
0.9465080499649048,
-0.47985273599624634,
-0.5032161474227905,
-0.5063481330871582,
0.08537794649600983,
-0.13233837485313416,
-0.537313103675... |
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordi... | True | 4 | NIv2 | task346_hybridqa_classification | zs_opt | [
0.424712210893631,
-0.22845232486724854,
-0.22131887078285217,
0.055949047207832336,
-0.25816985964775085,
-0.5717294812202454,
1.0483816862106323,
0.3488043248653412,
-0.9840735197067261,
-0.12587480247020721,
-0.6958243250846863,
0.03906426578760147,
0.042883917689323425,
-0.066908061504... |
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Input: E é da preocupação que vem tudo isto.
Output: | そして懸念はこれが来たところにあったのです | 2 | NIv2 | task1275_ted_translation_pt_ja | zs_opt | [
0.3722909986972809,
-0.223047137260437,
-0.1331014782190323,
0.0016882398631423712,
-0.3972804844379425,
-0.4465295076370239,
0.1656874567270279,
0.28205257654190063,
0.6984853744506836,
-0.4982565939426422,
-1.117438554763794,
0.17880073189735413,
-0.387636661529541,
0.4971086084842682,
... |
Detailed Instructions: In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D".... | B | 8 | NIv2 | task309_race_answer_generation | zs_opt | [
0.8099850416183472,
0.1726580560207367,
-0.6816830039024353,
-0.8675459027290344,
-0.3427930474281311,
-0.3790833055973053,
1.0251383781433105,
0.6905921101570129,
-0.09230180829763412,
0.4606189727783203,
-0.4469900131225586,
0.26736950874328613,
-0.49130764603614807,
0.3152410089969635,
... |
In this task, you are provided with an article about the legal acts. Your task is to generate a headline for that article.
[EX Q]: 1. By way of derogation from the second subparagraph of Article 9 (3) of Regulation (EEC) No 816/70, the countervailing charge shall not be levied in respect of imports of wine of fresh gr... | Council Directive concerning the attainment of freedom of establishment and freedom to provide services in respect of activities of self-employed persons engaging in the provision of electricity, gas, water and sanitary services (ISIC Division 5)
| 6 | NIv2 | task743_eurlex_summarization | fs_opt | [
0.07226210087537766,
0.05534128099679947,
-0.61842280626297,
0.5999476909637451,
0.5564194917678833,
-0.9439195394515991,
0.1603628396987915,
1.3586816787719727,
0.22349438071250916,
0.38922974467277527,
0.05629674345254898,
0.250802218914032,
-0.3717595338821411,
0.4932917356491089,
-0.... |
Instructions: 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: BRAND NAMES
Clue: Its Big Bertha Clubs have helped drive up sal... | callaway | 3 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-1.1805882453918457,
0.82722008228302,
-0.7086427807807922,
0.1002868041396141,
-0.063797228038311,
-0.16420358419418335,
0.8352182507514954,
0.13965025544166565,
0.2687649130821228,
-0.1322396695613861,
-0.43094998598098755,
0.36762842535972595,
-0.40708914399147034,
-0.2424340546131134,
... |
Detailed Instructions: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Q... | 32541 | 9 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.3389524221420288,
0.22024837136268616,
0.18107038736343384,
-0.5010260343551636,
-0.0020897735375910997,
-0.20977115631103516,
0.46317625045776367,
0.4879949688911438,
0.3223252296447754,
0.2054879516363144,
-0.46594440937042236,
-0.10097712278366089,
-0.17453527450561523,
0.23037402331... |
Q: In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwo... | 25278655 | 7 | NIv2 | task1443_string_to_number | zs_opt | [
-0.8362317681312561,
1.328877329826355,
-0.4007479250431061,
-1.19386887550354,
-0.35574549436569214,
-0.8020185232162476,
0.8033481240272522,
0.028564177453517914,
0.34546002745628357,
-0.5263603925704956,
-0.29289510846138,
0.6308220624923706,
-1.1772487163543701,
-0.04253418743610382,
... |
Detailed Instructions: In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Problem:Swedish: Vad säger ni om det, herr Cox och herr Hänsch?
En... | Yes | 8 | NIv2 | task314_europarl_sv-en_classification | zs_opt | [
-0.28865891695022583,
0.7440598011016846,
0.31125539541244507,
-0.028336118906736374,
0.0896720141172409,
-1.1208126544952393,
1.0406558513641357,
0.15960727632045746,
0.4013466238975525,
-0.3941185176372528,
0.1274784803390503,
0.6075455546379089,
-0.69538813829422,
-0.12605814635753632,
... |
You are given a statement in Croatian, a question word and four choices in Croation. If the question word is "cause", you should choose the option that is most likely to be the cause of the statement. If the question word is "effect", you should pick the choice that is most likely to be a consequence of the statement. ... | Iskoristio je kupon. | 0 | NIv2 | task1628_copa_hr_question_answering | zs_opt | [
0.38377195596694946,
1.0800186395645142,
-0.5888137817382812,
0.34348514676094055,
-0.5679962635040283,
-0.8129725456237793,
0.8194242715835571,
-0.05444265902042389,
-0.09164480865001678,
-0.30135291814804077,
-0.11451631784439087,
0.5574078559875488,
-0.7211852073669434,
-0.1213053017854... |
TASK DEFINITION: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the e... | No
| 8 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.6413514018058777,
-0.5490376949310303,
-0.10407286882400513,
-0.029123932123184204,
-0.10458435118198395,
-1.1635109186172485,
1.484643816947937,
0.48035332560539246,
-1.035022258758545,
-0.37081632018089294,
0.021369773894548416,
-0.36620649695396423,
-0.5828591585159302,
0.461258947849... |
You will be given a definition of a task first, then some input of the task.
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".
These arrived fresh and in very good shape, Just like buying from th... | False | 1 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
-0.31178516149520874,
-0.23815131187438965,
0.40508905053138733,
-0.4540344774723053,
-0.23944057524204254,
-0.29958808422088623,
0.514991044998169,
0.7033251523971558,
-0.4265763461589813,
0.36711379885673523,
-0.19295218586921692,
-0.30401620268821716,
-0.4337887167930603,
-0.15938539803... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
what kind of film ... | Eric Wareheim, Tim Heidecker | 0 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.8312283754348755,
-0.39470356702804565,
-0.2728576958179474,
0.7065857648849487,
-0.3108261823654175,
0.6022534370422363,
0.32766103744506836,
-0.1344372183084488,
0.3666824698448181,
0.07406380027532578,
-0.2377583384513855,
-0.04380255937576294,
-0.6173077821731567,
-0.112099260091781... |
Definition: In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
Input... | 4 | 2 | NIv2 | task1445_closest_integers | zs_opt | [
-0.792902946472168,
0.4825400710105896,
-0.2122984677553177,
-0.03683840483427048,
-0.2709929943084717,
-0.3056851029396057,
0.8079037666320801,
-0.1820545494556427,
0.856979489326477,
-0.32872313261032104,
-0.7664496302604675,
-0.31670334935188293,
-0.6351252794265747,
-0.0308563672006130... |
Instructions: In this task, you are given a premise sentence. Your task is to write a new sentence by substituting the subject and object (i.e., the input's subject should be output's object and vice versa.). The generated sentence must be fluent and shouldn't change the voice (i.e., passive or active) of the input.
In... | The doctor thanked the tourists . | 3 | NIv2 | task1364_hans_answer_generation | zs_opt | [
-0.6136589050292969,
0.2601500153541565,
-0.18882837891578674,
-0.17961616814136505,
0.27811717987060547,
-0.5331647396087646,
0.27657708525657654,
-0.1655377745628357,
0.5653873682022095,
-0.8861348628997803,
-0.6881880164146423,
-0.25995373725891113,
-0.15870407223701477,
-0.180437669157... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
بل سيكون أحد أصدقاؤك ، و لن تدرك حتى مالذي يحدث. | It will be one of your friends, and you will not even know that this is happening. | 0 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-0.2648821175098419,
0.9504473209381104,
0.07720291614532471,
-0.9101142883300781,
-0.49751031398773193,
0.6937230825424194,
0.5592149496078491,
0.12898829579353333,
0.7526364326477051,
-0.4162706732749939,
-0.4029836356639862,
-0.32461848855018616,
-0.7119120359420776,
0.2770410180091858,... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Input: おそらく誰もいないでしょう我々は皆ダーウィン信棒者ですね
Output: | Probabilmente nessuno, penso che siamo tutti darwinisti. | 2 | NIv2 | task1096_ted_translation_ja_it | zs_opt | [
-0.10089362412691116,
0.6179371476173401,
-0.7633737325668335,
-0.4955861270427704,
-0.39303719997406006,
-1.1832311153411865,
0.2909877300262451,
0.34174156188964844,
0.9643121361732483,
-0.4903509020805359,
-0.4945668578147888,
0.09976464509963989,
-0.39245855808258057,
0.272358685731887... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
****
| 4 | NIv2 | task1207_atomic_classification_atlocation | fs_opt | [
0.40643221139907837,
0.3489862084388733,
0.1667500138282776,
-0.1746906340122223,
-0.5969999432563782,
-0.7421797513961792,
0.9130990505218506,
0.480790376663208,
-0.42259079217910767,
-0.38213425874710083,
-0.4568285048007965,
-0.18640318512916565,
-0.5272929668426514,
0.31529471278190613... |
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
--------
Questio... | Ariel, a sixteenyearold mermaid princess, is dissatisfied with underwater life in the kingdom of Atlantica, and is curious about the human world. With her best friend Flounder, Ariel collects human artifacts in her grotto, and often goes to the surface of the ocean to visit Scuttle, a seagull who offers very inaccurate... | 7 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.8971299529075623,
-0.07582366466522217,
-0.3398566246032715,
0.8269886374473572,
-0.04599449038505554,
-0.7388628721237183,
0.4233589172363281,
1.2228972911834717,
-0.24364525079727173,
0.35752323269844055,
-0.6883575916290283,
-0.04120311886072159,
-0.4942619204521179,
0.291891902685165... |
In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
Let me give you an example: im feeling quite sad and sorry for myself but ill snap out of it soon
The answer to this example can be: sadness
Here is why: The e... | sadness | 8 | NIv2 | task512_twitter_emotion_classification | fs_opt | [
-1.2072114944458008,
0.13105005025863647,
0.28216731548309326,
0.16994449496269226,
0.10957924276590347,
-0.9157737493515015,
-0.0045355078764259815,
0.6468003988265991,
0.09432719647884369,
0.2276378720998764,
0.0178803913295269,
-0.3114694356918335,
-0.6898958683013916,
0.053711384534835... |
TASK DEFINITION: You are given a statement written in Panjabi. 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: ਪੰਜਾਬੀ ਯੂਨੀਵਰਸਿਟੀ, <MASK>, ਉੱਤਰੀ ਭਾਰਤ ਦੀਆਂ ਉੱਚ-ਸਿੱਖਿਆ ਸੰਸਥਾਵਾਂ ਵਿੱਚੋਂ ਪ੍ਰਮੁੱਖ... | ਜਲੰਧਰ
| 8 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.6627211570739746,
0.6740685701370239,
-0.03495175391435623,
-0.3643905818462372,
0.2577543258666992,
-0.36804354190826416,
0.42821502685546875,
0.5225424766540527,
0.19945795834064484,
0.22730249166488647,
-0.5202325582504272,
0.016747035086154938,
-0.4262843430042267,
-0.280278503894805... |
Detailed Instructions: In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its re... | slYaAfhjmmtxzzzzaeU, ylhjmmtxzzzAQndPx | 9 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.20460106432437897,
0.850507378578186,
-0.20253728330135345,
-0.30275067687034607,
0.243693545460701,
-0.12332917004823685,
0.5296608209609985,
-0.3485599756240845,
0.07350122928619385,
-0.004276781342923641,
-0.6439676284790039,
-0.20285707712173462,
0.0864221528172493,
0.190700501203537... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposi... | WP VBZ DT NN POS NN WP VBD IN DT NN WDT VBD VBN IN DT NNP NNP FW NNP .
****
| 4 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
-0.02741429954767227,
0.344926118850708,
-0.38526833057403564,
0.46230053901672363,
-0.24857410788536072,
-0.4315015375614166,
1.0490379333496094,
0.35926276445388794,
0.08113087713718414,
-0.08561663329601288,
-0.7545302510261536,
0.5837867259979248,
-0.8570249676704407,
-0.09932218492031... |
This task is about translating a given Yoruba language sentence to English.
Tábà tí ò dùn, ẹnu ò tà á.
Snuff that is not pleasant, the mouth cannot not sell.
A kì í mọ ọkọ ọmọ ká tún mọ àlèe rẹ̀.
One does not acknowledge the husband for one's child and also acknowledge her illicit lover.
Ìgbìmọ̀ DRC ṣì wà ní sẹpẹ́ t... | The DRC remains on alert as heavy rains have been forecast for the coming days.
| 0 | NIv2 | task1686_menyo20k_translation | fs_opt | [
-0.27072370052337646,
1.1986050605773926,
0.39216381311416626,
-0.5196419954299927,
-0.3679724335670471,
-0.19601759314537048,
-0.06092889979481697,
0.1883191466331482,
0.05202806740999222,
-0.046074703335762024,
0.09110258519649506,
0.13068941235542297,
-1.4633111953735352,
0.047206349670... |
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Filipino: Ang mga detalye ay ibinigay... | Solution: Yes | 5 | NIv2 | task1120_alt_ja_fil_answer_generation | fs_opt | [
-0.12313707172870636,
-1.0065191984176636,
-0.42516088485717773,
0.3376716673374176,
0.4593251347541809,
-0.567803144454956,
1.09498131275177,
0.2735852599143982,
-0.6852427124977112,
-0.17563804984092712,
-0.10223684459924698,
1.0002490282058716,
-0.0438922643661499,
0.8763366937637329,
... |
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Let me give you an example: English: Details were given by the UK Transport Secretary, Ru... | Yes | 8 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.5388020873069763,
0.3966299891471863,
0.7159172892570496,
0.4537464678287506,
0.2938506007194519,
-0.759494960308075,
0.24895219504833221,
0.6532015800476074,
-0.11589464545249939,
-0.21676769852638245,
0.08243124932050705,
0.6611788868904114,
-0.17593452334403992,
0.5410062074661255,
... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Ex Input:
Context: What I gotta do to ... | yes
| 1 | NIv2 | task241_tweetqa_classification | fs_opt | [
-0.18547573685646057,
0.3937229514122009,
-0.2177426666021347,
0.22878390550613403,
0.016635315492749214,
-0.5730668306350708,
0.8166412711143494,
-0.2325936257839203,
-0.4651672840118408,
0.6045234203338623,
-0.05156509578227997,
1.0235235691070557,
-0.3496745228767395,
-0.310280323028564... |
Q: In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
5765 sottrazione 1679 ag... | 776 | 7 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
-0.2416774034500122,
0.8692111968994141,
0.08598692715167999,
-0.17923226952552795,
-0.528285026550293,
-0.29907143115997314,
0.6378960609436035,
0.7419940829277039,
0.6740979552268982,
-0.5985206961631775,
-0.7555201053619385,
-0.9233996272087097,
-0.6444400548934937,
0.5481700301170349,
... |
Given the task definition, example input & output, solve the new input case.
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 st... | [-717, 232, -33] | 1 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.06046183779835701,
0.49997708201408386,
-0.4079984426498413,
-0.26467230916023254,
0.06982418894767761,
0.34873226284980774,
0.7261139154434204,
0.6771713495254517,
-0.03626740723848343,
0.3411524295806885,
-0.2883317172527313,
-0.10107158124446869,
0.044884175062179565,
-0.084943205118... |
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Input: Consider Input: Estos programas se han fijado como objetivo proteger a las... | Output: English
| 2 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
-0.023646753281354904,
0.3576701879501343,
-0.1256842017173767,
-0.03894727677106857,
-0.07632047683000565,
-0.529832661151886,
-0.15613380074501038,
1.1707403659820557,
-0.23733539879322052,
0.08530823886394501,
-0.6713132858276367,
0.40265047550201416,
-0.49185502529144287,
-0.4993566870... |
instruction:
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 con... | She was so sure someone would take her.
| 9 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.43703433871269226,
0.32515987753868103,
-0.17404688894748688,
0.07774728536605835,
0.11076658964157104,
-0.6408279538154602,
0.18966220319271088,
0.8644446134567261,
-0.5609784126281738,
0.003956712782382965,
-0.26395559310913086,
-0.4409509301185608,
-0.37471067905426025,
-0.10966960340... |
Instructions: In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Input: They can go to the Public Solicitor's Office or a private lawyer and file a human rights complaint.
Output: | وبوسع أفراد الجمهور أن يتجهوا إلى مكتب النائب العام المساعد أو إلى محام خاص، وأن يقدموا شكاواهم المتصلة بحقوق الإنسان. | 3 | NIv2 | task651_opus100_en_ar_translation | zs_opt | [
-0.07669077813625336,
0.6097985506057739,
0.2239946722984314,
-0.8700007200241089,
0.05089038610458374,
0.05202629417181015,
0.5686525106430054,
-0.06433193385601044,
0.7057719230651855,
0.14310689270496368,
-0.12560847401618958,
0.14333707094192505,
-0.07528818398714066,
-0.37769275903701... |
Detailed Instructions: In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
See one example below:
Problem: Problem: if the sides of a triangle are 20 cm , 12 cm and 16 cm , what is its area ?
Options: a ) 70 , b ) 79 , c ) 85 , d ) 96... | a | 4 | NIv2 | task1423_mathqa_geometry | fs_opt | [
0.03822163864970207,
0.3702894449234009,
-0.7141212821006775,
-0.5750612020492554,
-0.3013918995857239,
-0.5970453023910522,
0.14712251722812653,
0.38882285356521606,
0.0026201456785202026,
0.045166920870542526,
-0.7821842432022095,
0.5172194242477417,
-0.37369197607040405,
-0.323256999254... |
In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Q: Context: Giovanni Giolitti (October 27, 1842 July 17, 1928) was an Italian statesman. He was t... | social democracy | 4 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.06728486716747284,
-0.16255062818527222,
-0.4571407437324524,
0.8567225933074951,
-1.004101276397705,
-0.3810681402683258,
0.4685303568840027,
0.49106860160827637,
-0.13193294405937195,
0.3951289653778076,
-1.0543673038482666,
0.4041329026222229,
-0.36039894819259644,
0.31567656993865967... |
Teacher: You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
Teacher: Now, understand the problem? If you are still confused, see the ... | 1 | 2 | NIv2 | task1186_nne_hrngo_classification | fs_opt | [
-0.688705563545227,
0.2968820333480835,
-0.1360820233821869,
0.1465548276901245,
-0.4817471206188202,
-0.05167040228843689,
0.7975735068321228,
0.6951810121536255,
-0.0026627606712281704,
-0.28282028436660767,
-0.3575572967529297,
-0.6021151542663574,
-0.671567976474762,
-0.249139413237571... |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | Green Man provides Indian food in the high price range. It is located in the riverside. It is near All Bar One. | 6 | NIv2 | task1409_dart_text_generation | fs_opt | [
-0.2967691421508789,
0.21612980961799622,
-0.3956858813762665,
-0.6572295427322388,
-0.2272970825433731,
-0.0532100610435009,
-0.03251950442790985,
1.0400598049163818,
-0.11784879863262177,
0.0420297309756279,
-0.16697677969932556,
0.025804316624999046,
-0.347878098487854,
-0.6091927886009... |
The task is reading a paragraph containing numbers as digits. The digits can be used to represent Quantity, Dates and Time, Addresses or Positions. Convert the digits into their text equivalents. If a number has a prefix, postfix or punctuation preserve it in the text equivalent. 100000 is translated as hundred thousan... | The President's Commission on the Assassination of President Kennedy. Chapter eight. The Protection of the President. Part one.
| 3 | NIv2 | task1703_ljspeech_textmodification | fs_opt | [
0.06333217769861221,
0.1937483549118042,
0.018427489325404167,
-0.1782749891281128,
-0.22384174168109894,
-0.48749488592147827,
0.562330961227417,
0.6107289791107178,
0.5076782703399658,
0.5851597785949707,
-0.7761812806129456,
0.06330426782369614,
-0.17207926511764526,
-0.3608742654323578... |
Detailed Instructions: In this task, you need to count the number of times the given letter appears in the given sentence.
Problem:Sentence: 'a woman sitting on a suitcase with a little dog looking at her'. Find frequency of the letter 'a'
Solution: | 6 | 8 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.9124537110328674,
0.2603268623352051,
-0.5851492285728455,
-0.6801888346672058,
-0.42149293422698975,
0.09788849949836731,
0.42401209473609924,
0.8653752207756042,
0.6281025409698486,
-0.09698989987373352,
-0.3988826274871826,
-0.17123720049858093,
0.22416561841964722,
-0.13160659372806... |
This task is about translating a given English language sentence to Spanish.
Example: It's this amazing wonderful feeling and you know it when you get it.
Example solution: Es ese sentimiento asombroso e increíble, y lo reconoces cuando lo sientes.
Example explanation: This is a good example because the English sentenc... | Solution: Simplemente copias estos argumentos de aquí | 5 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.18994778394699097,
0.8215805292129517,
0.7983106970787048,
-0.18618661165237427,
-0.4928148090839386,
-1.6680779457092285,
0.5816739797592163,
1.2087969779968262,
0.414463609457016,
-0.5039571523666382,
-0.09780894219875336,
0.14787451922893524,
-0.5980014801025391,
0.17367279529571533,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Y sin embargo, al visitar esas comunidades del norte, descubrimos para nuestro desconcierto que aunque el hielo marino solía llegar en Septiembre y quedarse hasta Julio, a lugares como Kanak, al norte de Groenlandia, ahor... | 悲しいことに今日最北の部落を訪れると驚くことにグリーンランド北部のカナック等の場所では以前は９月に接岸して ７月まであった海氷が今は11月に接岸して ３月までしかないのです | 0 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-0.1782178282737732,
-0.30093157291412354,
-0.6692466139793396,
-0.7982100248336792,
-0.4070659279823303,
-1.1198129653930664,
0.12981516122817993,
0.020005980506539345,
-0.6907071471214294,
-0.45671582221984863,
0.4919475317001343,
-0.48290199041366577,
-1.3438706398010254,
0.387192845344... |
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').
Ex Input:
Human feet bear average five to ____ hundreds tons of weight everyday.\Question: Choose the right answer from options given a) six b) ei... | c
| 1 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
0.07416944205760956,
0.5974257588386536,
-0.7890724539756775,
-0.014009096659719944,
-0.8685882091522217,
-0.10779713839292526,
0.9105014204978943,
0.31801146268844604,
-0.1759340465068817,
-0.5320682525634766,
-0.5705907344818115,
0.7347960472106934,
-0.7201888561248779,
0.491294741630554... |
Given the task definition and input, reply with output. 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.
i hv my own gf i love your girlfriend too facewithsteamfromnose facewithtearsofjoy
| happy | 5 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-1.0789604187011719,
0.5235393047332764,
0.9487179517745972,
-0.6248801946640015,
0.34209829568862915,
-0.45428013801574707,
0.41479524970054626,
0.0260840505361557,
0.6616412401199341,
-0.11766323447227478,
-0.41244447231292725,
-0.548250138759613,
-0.4092467427253723,
-0.1148585230112075... |
Given a scientific passage and an answer, generate a question for the given answer.
One example is below.
Q: Passage: A frameshift mutation is a deletion or insertion of one or more nucleotides that changes the reading frame of the base sequence. Deletions remove nucleotides, and insertions add nucleotides. Consider th... | Electrons exist only where the wave is what? | 9 | NIv2 | task594_sciq_question_generation | fs_opt | [
0.19059035181999207,
0.22972440719604492,
-0.48772865533828735,
0.4861057996749878,
0.015329905785620213,
-0.7555543780326843,
0.5154657363891602,
0.8638054132461548,
0.8713793158531189,
0.23087194561958313,
-0.691624641418457,
0.22400319576263428,
-0.9795833826065063,
-0.3019121289253235,... |
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.
Exa... | Solution: Hate Speech | 5 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.3615780174732208,
-0.262102335691452,
0.6562656164169312,
0.45938026905059814,
0.2099921852350235,
-1.0138568878173828,
-0.5949709415435791,
1.0577278137207031,
0.45316487550735474,
0.3633716106414795,
-0.26189732551574707,
-0.6777554154396057,
-0.7760986089706421,
-0.6788976788520813,
... |
Instructions: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny... | Not Funny | 3 | NIv2 | task495_semeval_headline_classification | zs_opt | [
-0.008985187858343124,
0.7402691841125488,
0.372997522354126,
0.0019423498306423426,
-0.3716098666191101,
-0.39695826172828674,
-0.1714305728673935,
1.0577224493026733,
0.15667352080345154,
-0.10686638951301575,
-0.43079617619514465,
-0.5110951662063599,
-0.45527034997940063,
-0.1198622286... |
Given the task definition and input, reply with output. 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... | Business | 5 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.771877646446228,
0.31438589096069336,
0.07493142038583755,
1.229043960571289,
0.35501131415367126,
0.3677506446838379,
-0.3494375944137573,
0.09216645359992981,
0.020829183980822563,
-0.09690181165933609,
-0.27153974771499634,
0.13295063376426697,
-0.1155453771352768,
-0.292167842388153... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | Changed | 0 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-1.0228073596954346,
0.9708462953567505,
0.21210041642189026,
0.09684941172599792,
-0.19291377067565918,
0.1166350394487381,
0.40187498927116394,
0.8251491785049438,
0.19453078508377075,
-0.4146804213523865,
-0.967634916305542,
-0.31862056255340576,
-1.0484058856964111,
-0.0511704534292221... |
In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are commo... | No | 4 | NIv2 | task245_check_presence_in_set_intersection | zs_opt | [
0.0105057992041111,
-0.09021991491317749,
-0.4103063642978668,
0.03915675729513168,
-0.061954058706760406,
-0.26287057995796204,
0.7036122679710388,
0.6626585721969604,
-0.15710386633872986,
0.12656909227371216,
-0.4022015929222107,
0.25552013516426086,
0.1708393394947052,
-0.2008366584777... |
instruction:
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, pic... | b
| 9 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.023960022255778313,
0.14061731100082397,
-0.1624624878168106,
0.09570556879043579,
0.3211040496826172,
-0.2223948836326599,
0.7347303628921509,
0.9083051085472107,
-0.21746771037578583,
0.4718570113182068,
-0.11814209818840027,
-0.3580734133720398,
-0.22566679120063782,
-0.15864908695220... |
Given the task definition and input, reply with output. Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
As long as you know how to use it y... | Good Review | 5 | NIv2 | task929_products_reviews_classification | zs_opt | [
-1.0915226936340332,
0.49451833963394165,
0.11523841321468353,
0.21670541167259216,
0.2122247815132141,
-0.4680596888065338,
0.4057764410972595,
0.6234866976737976,
0.4014938175678253,
0.4102395176887512,
-0.3861805200576782,
0.38067883253097534,
-0.3280249238014221,
-0.1600571870803833,
... |
TASK DEFINITION: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two s... | 21
| 8 | NIv2 | task218_rocstories_swap_order_answer_generation | fs_opt | [
0.08248909562826157,
0.09182792901992798,
-0.9320234060287476,
-0.060182102024555206,
-0.24461719393730164,
-0.2712976336479187,
0.46941715478897095,
0.769446611404419,
0.18134167790412903,
-0.407565176486969,
-0.3255116045475006,
-0.07232442498207092,
-0.7522933483123779,
-0.2788895070552... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Example Input: Bene, il punto è che la scienza ci dice che la capacità del corpo umano, del mio, del vostro, è di vivere per circa 90 anni, un po 'di più per le donne.
Example Output: Ben, en realidade a ciencia máis avan... | O Proxecto Hell Creek era esta empresa de gran envergadura para acadar tantos dinosauros como fora posible, coa esperanza de atopar algúns que contivesen máis material.
| 3 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.21615877747535706,
0.584762454032898,
-0.4508669376373291,
-0.4520907700061798,
-0.4542328119277954,
-1.4613368511199951,
-0.3539123833179474,
1.066755771636963,
-0.10732211172580719,
-0.05838142707943916,
-0.6382786631584167,
0.5421240329742432,
-0.6737174987792969,
0.7600114345550537,... |
Given the task definition and input, reply with output. 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: boats
Words: deck, galley, blind, bridge, crew
| blind | 5 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
-0.0648723840713501,
0.43844103813171387,
-0.07765024900436401,
-0.43597060441970825,
0.20253467559814453,
-0.009300507605075836,
0.3681556284427643,
-0.30190396308898926,
0.03518792241811752,
-0.5462380647659302,
-0.6556050777435303,
-0.2951948940753937,
-0.2902895212173462,
0.44597804546... |
Detailed Instructions: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Q: سوگندهاى خود را [چون] سپرى بر خود گرفته و [مردم را] از راه خدا بازداشتهاند. راستى که آنان چه بد مىکنند.
A: | They have made their oaths a shield in order to obstruct others from the way of God. It is certainly evil what they do. | 9 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.5658692121505737,
1.5369421243667603,
-0.11954960227012634,
-1.2730937004089355,
-0.2910052239894867,
-0.22870704531669617,
0.6932719349861145,
0.34232297539711,
0.476260781288147,
0.29622557759284973,
-0.8605269193649292,
0.302060604095459,
-0.5688362121582031,
0.13150697946548462,
0... |
Definition: This task is about translating a given Yoruba language sentence to English.
Input: Nígbà tó dọdún 2004, a tẹ ẹ̀dà kẹta jáde. Ọ̀nà ìkọ̀wé tá a mú kó túbọ̀ rọrùn láti lóye ni wọ́n lò nínú ẹ̀dà yìí, yàtọ̀ síyẹn, wọ́n tún lo ọ̀nà ìkọ̀wé kan tá à ń pè ní Pinyin kí wọ́n lè fi álífábẹ́ẹ̀tì èdè Róòmù kọ ọ̀rọ̀ kọ̀ọ̀... | A third edition, containing simplified Chinese characters along with Pinyin, text rendered in the Roman alphabet, was published in 2004. | 2 | NIv2 | task1686_menyo20k_translation | zs_opt | [
-0.05938638001680374,
0.7322985529899597,
0.33550310134887695,
0.12452197074890137,
0.08963751792907715,
0.29696810245513916,
-0.6330707669258118,
0.6932476758956909,
0.1315854787826538,
0.12064370512962341,
0.3606483042240143,
0.20386528968811035,
0.4064719080924988,
-0.25253117084503174,... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Category: VERY SUPERSTITIOUS... | a mirror | 6 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.6104186773300171,
0.30535802245140076,
0.13334175944328308,
0.1761377453804016,
-0.23922735452651978,
-0.4690825939178467,
0.9753504991531372,
0.15044507384300232,
0.6112239360809326,
-0.03308741748332977,
0.45883265137672424,
-0.1447625756263733,
-0.461140900850296,
-0.2490780055522918... |
You will be given a definition of a task first, then some input of the task.
You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Too salty. But that was not even the worst of the ... | True | 1 | NIv2 | task587_amazonfood_polarity_correction_classification | zs_opt | [
-0.3951338827610016,
-0.23067310452461243,
0.7328932881355286,
-0.25163447856903076,
0.06739341467618942,
-0.3352646827697754,
0.9329707622528076,
0.19722554087638855,
-0.08827116340398788,
0.3766307234764099,
-0.3135809004306793,
-0.14970040321350098,
-0.7127421498298645,
-0.5223102569580... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Output: Person
| 2 | NIv2 | task1289_trec_classification | fs_opt | [
0.04779072105884552,
0.12682482600212097,
-0.040641456842422485,
0.07390519231557846,
-0.1814558207988739,
-0.8040698766708374,
0.5569587349891663,
-0.10523776710033417,
0.14505335688591003,
0.18395577371120453,
-0.5639348030090332,
-0.03518864884972572,
-0.5425043106079102,
0.044429764151... |
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