inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Instructions: Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2... | That Biden uttered the sentence “They gonna put y’all back in chains” before just such a crowd stands confirmed. Whether it should taken as a racially charged reference to slavery we leave it to readers to judge for themselves. | 3 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
0.39056771993637085,
0.16848894953727722,
-0.27910396456718445,
0.06743226200342178,
0.047059036791324615,
0.018935907632112503,
0.4003278911113739,
1.5439841747283936,
0.09560894966125488,
0.3996623158454895,
0.15106776356697083,
1.1101088523864746,
0.4535823464393616,
-0.3819494843482971... |
In this task, you need to count the number of words in a sentence that contain the given letter
One example is below.
Q: Sentence: 'two gray birds standing in a green field'. How many words contain the letter 'a' in the sentence.
A: 3
Rationale: The words 'gray', 'standing', and 'a' contain the letter 'a'. So, the answ... | 0 | 9 | NIv2 | task161_count_words_containing_letter | fs_opt | [
-0.33539360761642456,
0.35688140988349915,
-0.3013961911201477,
-0.7871110439300537,
-0.1324579119682312,
-0.23017606139183044,
0.47586339712142944,
0.7512509226799011,
0.7671468257904053,
-0.4161985218524933,
-0.7819439172744751,
0.4929339289665222,
-0.06900173425674438,
-0.11136396229267... |
"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate yo... | Response 2 | 3 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.721909761428833,
0.07798402011394501,
0.2914218306541443,
0.3239825665950775,
0.3001105785369873,
-0.7693672180175781,
-0.30836498737335205,
0.7501649856567383,
-0.14865681529045105,
-0.19516539573669434,
-0.7063018083572388,
-0.024674851447343826,
-0.6441582441329956,
-0.049480043351650... |
Definition: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotio... | No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion | 2 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.6691601872444153,
0.15964898467063904,
0.13525192439556122,
-0.4700731337070465,
0.045231226831674576,
-0.0591408871114254,
0.5620891451835632,
-0.34555429220199585,
0.4237690269947052,
-0.34141138195991516,
-0.0642814189195633,
-0.32154858112335205,
-0.20394140481948853,
0.747404813766... |
Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Input: L'oceano ha delle proprietà che permettono ai suoni a bassa frequenza di viaggiare praticamente ovunque.
Output: | El océano tiene propiedades que permiten a los sonidos de baja frecuencia moverse, básicamente, de forma global. | 2 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.7412556409835815,
0.7274952530860901,
-1.2675976753234863,
-0.2418828159570694,
0.04545813426375389,
-0.5699624419212341,
-0.010193029418587685,
0.6440293788909912,
0.10679297149181366,
0.0025939075276255608,
-0.059186045080423355,
-0.11014038324356079,
0.030904632061719894,
-0.07475627... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options th... | ab | 1 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
-0.10277313739061356,
0.015550456941127777,
0.18312717974185944,
0.5174762606620789,
0.06495398283004761,
-0.1615508496761322,
0.1751171052455902,
1.0772768259048462,
-0.30218371748924255,
0.5084855556488037,
0.05922514945268631,
-0.1496971696615219,
-0.2582951486110687,
-0.379005014896392... |
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 such that it seamlessly connects with the rest of the story.
Ex Input:
Title: George Had a Terrible Day. Sentence 1: George slept through his alarm yesterday morning. Sentence... | Ryan was able to give the assignment to his teacher.
| 1 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.13359028100967407,
0.37013742327690125,
0.33206304907798767,
-0.6524965167045593,
0.2576107978820801,
-0.8769185543060303,
0.234948992729187,
1.309027075767517,
-0.438199907541275,
0.24920649826526642,
-0.5506314635276794,
0.3347291350364685,
-0.2930030822753906,
-0.3532159626483917,
... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Ex Input:
PersonX decorates PersonY's house
Ex Output:
... | angry
| 1 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.4165295362472534,
0.7269287109375,
-0.007426292635500431,
-0.3520084619522095,
-0.34889498353004456,
-0.6612217426300049,
0.949729323387146,
0.7083179354667664,
-0.06885422766208649,
-0.5376557111740112,
0.19783207774162292,
0.3135584890842438,
-0.6471356153488159,
0.15545997023582458,
... |
Given a prompt and two completions from a language model, select the completion that is more topical with respect to continuing the prompt. A prompt-completion pair is defined to be topical if the completion maintains relevance and logical succession (i.e. stays on topic) with the prompt. The flow from the prompt to th... | Completion B
| 7 | NIv2 | task139_detoxifying-lms_classification_topicality | fs_opt | [
0.17989957332611084,
-0.2588880658149719,
-0.022478807717561722,
0.508000910282135,
-0.07430711388587952,
-0.6154433488845825,
0.8183599710464478,
0.7261064052581787,
-0.29197877645492554,
0.13357092440128326,
-0.500489354133606,
-0.03188909962773323,
-0.07313238084316254,
-0.5356295108795... |
Given a sentence in Hindi, generate a new Hindi 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 being... | अगर आप स्वादिष्ट रोटी के लिए रास्ता है तो आप एक रोटी की रेसिपि होनी चाहिए.
| 6 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
0.015595078468322754,
0.5570590496063232,
-0.07998985052108765,
-0.2912895977497101,
-0.7671182155609131,
-1.1094043254852295,
0.4705856740474701,
0.47105979919433594,
-0.31997257471084595,
-0.699510931968689,
-0.6909645795822144,
0.20372800529003143,
-0.5265640020370483,
0.500050961971283... |
Detailed Instructions: In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item ... | [['M', 'v', '2', 'N'], ['M', 'v', '2', '0'], ['M', 'v', 'N', '0'], ['M', '2', 'N', '0'], ['v', '2', 'N', '0']] | 9 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.517162561416626,
-0.008163836784660816,
-0.30459174513816833,
0.12381480634212494,
0.5438008308410645,
-0.2527381479740143,
0.12272839993238449,
0.4766625165939331,
0.4377097487449646,
0.02875562384724617,
-0.4299125075340271,
0.053992290049791336,
-0.15213042497634888,
-0.2581255435943... |
Definition: You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Input: Event:PersonX comes ___ for the holidays. Intent: 1) to give advice to others
Output: | Positive | 2 | NIv2 | task923_event2mind_classifier | zs_opt | [
-0.6150437593460083,
-0.24200108647346497,
-0.0910467877984047,
-0.23788078129291534,
-0.28153282403945923,
-1.3971366882324219,
0.9648164510726929,
-0.00803013239055872,
0.22872917354106903,
0.09296074509620667,
0.20359015464782715,
0.32233649492263794,
-0.46749335527420044,
0.07455361634... |
Given the task definition and input, reply with output. 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 .
Statement: ২০০৬ সালের ডিসেম্বরে, স্পেনীয় ক্লাব রিয়াল ম... | লীগে | 5 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
-0.6141339540481567,
0.6008999943733215,
-0.2220344990491867,
0.37801697850227356,
-0.6080446839332581,
0.44817379117012024,
0.3094779849052429,
0.6909647583961487,
0.47086721658706665,
-0.8382458686828613,
-0.5775755643844604,
0.6777883768081665,
-0.33737409114837646,
-0.11882263422012329... |
You are given a statement written in Tamil. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: புனித சிந்தாத்திரை மாதா திருக்கோவில் <MASK>, தமிழ்நாட்டில், நாகை மாவட்டத்தில் கொள்ளிடம் ஆற்றுப்படுகையில்... | இந்தியாவில் | 0 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | zs_opt | [
0.5725842714309692,
0.6088665723800659,
0.28782913088798523,
0.42941033840179443,
-0.037795744836330414,
-1.6266040802001953,
-0.33558738231658936,
0.9016956090927124,
-0.1717432737350464,
0.5329183340072632,
0.5734837055206299,
0.0436808206140995,
-0.1893235146999359,
-0.5165380239486694,... |
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... | I watched the ant walk for a while and then stepped on it. | 4 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.2480100393295288,
0.5133395195007324,
0.13387300074100494,
0.14829319715499878,
-0.5484029054641724,
-0.29403430223464966,
0.1661008894443512,
0.5604186058044434,
-0.441120445728302,
-0.4705426096916199,
-0.6987659931182861,
0.22249361872673035,
-0.6129400730133057,
-0.045501261949539185... |
Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are th... | superlative | 3 | NIv2 | task212_logic2text_classification | zs_opt | [
0.04223678633570671,
-0.26606273651123047,
-0.3988945782184601,
0.22923484444618225,
0.4063754975795746,
-0.47070956230163574,
0.78662109375,
0.6608932018280029,
0.3420840799808502,
-0.04413067549467087,
-0.09527014195919037,
0.08013629913330078,
0.11083933711051941,
0.46576017141342163,
... |
Detailed Instructions: 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 letters E, C, and N res... | N | 8 | NIv2 | task190_snli_classification | zs_opt | [
-0.2495846450328827,
0.43395519256591797,
0.347612589597702,
-0.3843759000301361,
-0.2470230758190155,
-1.2800625562667847,
0.2631306052207947,
0.8833996057510376,
0.3605648875236511,
-0.022090405225753784,
-0.8737040758132935,
-0.5610721111297607,
-0.543401300907135,
-0.369271457195282,
... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Problem:Nazywam się Ursus Wehrli i dzisiejszego ranka chciałbym opowiedzieć wam o moim projekcie Porządkowania Sztuki.
Solution: | من اُرسِس وِرلی هستم, من می خوام امروز با شما در باره ی پروژه ام ، "" مرتب کردن هنر "" صحبت کنم | 8 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
-0.7355141639709473,
0.45415163040161133,
-0.43677225708961487,
0.06317247450351715,
-0.9308154582977295,
-0.2860460877418518,
0.8478756546974182,
-0.8657844066619873,
0.3943935036659241,
0.11751362681388855,
-0.2822722792625427,
0.7063366174697876,
-0.17635074257850647,
0.1949924081563949... |
TASK DEFINITION: In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special... | _____ is a _____ that serves French food at less than £20 and has a average customer rating.
| 8 | NIv2 | task1407_dart_question_generation | fs_opt | [
0.2676824629306793,
-0.16867947578430176,
-0.27356165647506714,
0.4962262511253357,
0.4513993561267853,
0.0609874501824379,
0.6268303394317627,
0.7104514241218567,
-0.6103163957595825,
0.05028409883379936,
-0.054104652255773544,
0.38824528455734253,
-0.378349244594574,
0.18379934132099152,... |
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 | task1198_atomic_classification_owant | zs_opt | [
-0.18604998290538788,
0.5438108444213867,
0.3664395809173584,
0.05054834112524986,
-0.36307042837142944,
-0.4053230583667755,
1.0824239253997803,
0.27647116780281067,
-0.7331570386886597,
-0.4496154487133026,
-0.21596454083919525,
-0.4013013243675232,
-0.7917811870574951,
0.254241317510604... |
Detailed Instructions: In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Q: Context_1 : Alta Group Newspapers Inc. was a newspaper publisher in... | Eugene Collins Pulliam, was an American newspaper publisher and businessman who was the founder and longtime president of Central Newspapers Inc., and was the maternal grandfather of which American politician and lawyer who was the 44th Vice President of the United States from 1989 to 1993? | 9 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
-0.15694668889045715,
-0.24071969091892242,
-0.3737204074859619,
0.6863746047019958,
0.8014209270477295,
0.005106924567371607,
0.6002470254898071,
1.0870139598846436,
-0.11350830644369125,
0.2823105454444885,
0.07566717267036438,
1.0820286273956299,
-0.8020843863487244,
0.3197837769985199,... |
Teacher:In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Teacher: Now, understand the problem? Solve this instance: Gujarati: ચાર લીલા શાક... | Yes | 6 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-1.0449203252792358,
0.5275143384933472,
0.7964804172515869,
0.10036071389913559,
-0.05151642858982086,
-0.9405782222747803,
0.49501022696495056,
0.6957512497901917,
-0.09111366420984268,
-0.5360730886459351,
0.02015542984008789,
0.3769899606704712,
-0.3360007107257843,
-0.1281331181526184... |
Q: The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
(BACKSADDLEమళ్ళీ ప్లే కొనసాగుతుంది)
A: | (BACK IN THE SADDLE AGAIN CONTINUES PLAYING) | 7 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
-0.35499370098114014,
1.3988850116729736,
0.45382213592529297,
0.4326806664466858,
0.30915215611457825,
-0.9982523918151855,
1.0424124002456665,
-0.29143571853637695,
-0.0559643879532814,
-0.5503062009811401,
-0.4579712152481079,
0.5542246103286743,
-1.2516380548477173,
0.45446401834487915... |
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.... | [161, 575]
| 6 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.8347781896591187,
-0.4564877152442932,
-0.7812104225158691,
-0.13097693026065826,
-0.16798502206802368,
-0.06192215159535408,
0.44410890340805054,
0.32494020462036133,
-0.8228932619094849,
-0.3901699483394623,
-0.7010801434516907,
-0.07707789540290833,
-0.7913352251052856,
0.04787945747... |
Teacher:Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Teacher: Now, understand the problem? Solve this instance: TALLAHASSEE Fla. (AP) â Willie Taggart grew up a Florida State fan and... | Willie Taggart | 6 | NIv2 | task419_persent_answer_generation | zs_opt | [
-0.18530622124671936,
-0.21973346173763275,
-0.8935814499855042,
-0.4830888509750366,
0.35028010606765747,
-0.29486778378486633,
0.6287398338317871,
0.8155652284622192,
-0.6514887809753418,
-0.2868438959121704,
0.20646388828754425,
0.23599541187286377,
-0.41994035243988037,
0.2268374264240... |
Part 1. 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... | Yes | 7 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.15302211046218872,
-0.22105446457862854,
0.19531621038913727,
0.17648273706436157,
-0.07530820369720459,
-1.1927789449691772,
0.8386826515197754,
0.5667223930358887,
-0.6938747763633728,
-0.2550289034843445,
-0.2354765236377716,
-0.29059624671936035,
-0.8554637432098389,
-0.0967375561594... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduc... | The girls are on a team. | 8 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | zs_opt | [
-0.6306171417236328,
0.703425407409668,
-0.3160923719406128,
-0.46519020199775696,
-0.14582371711730957,
-0.4619937837123871,
-0.28432101011276245,
0.9127431511878967,
0.41758936643600464,
-0.37067437171936035,
-0.9114246368408203,
-0.6706962585449219,
-0.21282561123371124,
-0.126377105712... |
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
--------
Question: Polymer clay is formed to metal spring back barrettes, and are available in _ different styles.
Answer: five
Question: Albino barbs are a light yellow with _ barely visible stripes.
An... | five
| 7 | NIv2 | task672_nummersense | fs_opt | [
0.47489532828330994,
0.3379373550415039,
-0.5102515816688538,
-0.009655734524130821,
-0.5780085325241089,
-0.6605602502822876,
0.37692105770111084,
0.4000126123428345,
0.03928930312395096,
-0.1876615583896637,
-0.01206841878592968,
0.8407236337661743,
-0.9055423736572266,
0.146057337522506... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
Example: Sentence: Jacob and Benny are squatti... | The carpet | 1 | NIv2 | task1378_quarel_correct_answer_generation | fs_opt | [
-0.4677586853504181,
1.1446971893310547,
-0.7405679225921631,
-0.37782591581344604,
0.14966833591461182,
0.14259758591651917,
0.17468047142028809,
0.2988168001174927,
0.08352123200893402,
-0.12671056389808655,
-0.5258980989456177,
0.6302354335784912,
0.2567097544670105,
-0.2332787066698074... |
instruction:
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
question:
さらに、「今後かなり多くの人々が民主主義への道を選ぶのを我々は眼にするだろうと私は信じている」とも述べた。
answer:
បានបន្ថែមពីលើនេះទៀតថា "ខ្ញុំជឿថា យើងនឹងឃើញក្នុងពេលឆាប់ៗនេះ ដែ... | រដ្ឋាភិបាលរបស់នាយករដ្ឋមន្ត្រីនៃប្រទេសអ៊ីតាលីលោកស៊ីលវីអូបឺលូស្កូនីបានទទួលទំនុកចិត្តដោយការបោះឆ្នោតពីសំនាក់មន្ត្រីរៀបរៀងច្បាប់នៅថ្ងៃព្រហស្បត៍ បន្ទាប់ពីពួកគេបានទទួលទំនុកចិត្តពីរដ្ឋសភាកាលពីម្សិលមិញ។
| 9 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.6785786151885986,
0.340049684047699,
-0.38287806510925293,
-0.4339846968650818,
-0.1064177006483078,
-0.3088220953941345,
0.9811599254608154,
0.06226010620594025,
-0.4386809468269348,
-0.42804259061813354,
-0.36577481031417847,
0.21431107819080353,
-0.6885278224945068,
0.629699945449829... |
Instructions: 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 "Cha... | Changed | 3 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.7724863290786743,
0.8437244892120361,
0.006494229659438133,
-0.26109832525253296,
-0.4885432720184326,
-0.34159791469573975,
0.3167352080345154,
0.7863039970397949,
0.38707244396209717,
-0.567145824432373,
-0.6488445997238159,
-0.581606388092041,
-0.81139075756073,
-0.07311604917049408,... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | Output: blue_bathtub
| 2 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.24069033563137054,
-0.46967148780822754,
-0.5611922144889832,
-0.21835872530937195,
-0.37466052174568176,
-0.27287501096725464,
0.08212302625179291,
0.7523767948150635,
0.23432233929634094,
-0.23461714386940002,
-0.5182613134384155,
0.6081089973449707,
-0.19361025094985962,
0.01826965063... |
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
One example: Verify if the sentiment of the following document towards the entity Bill Clinton is Positive . ... | yes | 6 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
0.5296143293380737,
-0.04732963442802429,
0.31624236702919006,
0.2523912191390991,
0.7542887330055237,
-0.9556751251220703,
0.8982053995132446,
0.6474046111106873,
-0.1389349102973938,
0.47573143243789673,
-0.28050297498703003,
0.6874943971633911,
0.10345558077096939,
-0.06296952813863754,... |
Detailed Instructions: You are given a list of queries separated by new line. Your job is to answer with the query that is the most well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
See one example below:
Problem: What is the product of transcripition durring gene expression ?
... | What did the antarctica treaty achieve ? | 4 | NIv2 | task675_google_wellformed_query_sentence_generation | fs_opt | [
-0.24379147589206696,
0.24739165604114532,
-0.5686318278312683,
-0.6773815155029297,
0.046409159898757935,
-0.3957279920578003,
0.04826444387435913,
-0.49169135093688965,
0.20169080793857574,
-0.2907591164112091,
-0.7117071747779846,
-0.320990651845932,
-0.1115291640162468,
0.3434942662715... |
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 Spanish.
Bem, para resumir, Resume-se tudo a uma coisa: Não negoceiem com terroristas.
Output: | Bueno, para resumir, se reduce a una cosa: no negocien con terroristas. | 1 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.12691619992256165,
0.7515261769294739,
-0.33930253982543945,
-0.08034036308526993,
-0.5902002453804016,
-0.5595698356628418,
-0.4357149600982666,
1.3455665111541748,
-0.10265450179576874,
0.3917185962200165,
-0.3639789819717407,
-0.05059141665697098,
-0.48877081274986267,
-0.30536130070... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Example: 処方箋を支払う為の保険は ?
Output: Terán seguro para pagar a receita?
The Japanese sentence is correctly translated into Galician, because the mea... | Pero hai outra clase de neuronas espello que actúa en algo moi diferente. | 1 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.627551794052124,
0.2845914959907532,
0.04643258452415466,
-0.6276654005050659,
0.22585570812225342,
-0.7314645051956177,
0.19567656517028809,
0.9615834951400757,
0.39209866523742676,
-0.16927307844161987,
-0.17410147190093994,
0.4020998477935791,
-0.6663602590560913,
0.34922829270362854... |
Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of this c... | SCONJ | 3 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.838228702545166,
0.33993732929229736,
0.07470912486314774,
0.20315131545066833,
-0.03914256393909454,
-0.8112213015556335,
0.8297518491744995,
0.8294780254364014,
-0.31729525327682495,
-0.20804718136787415,
-0.5085818767547607,
0.06347434967756271,
-0.6442647576332092,
0.4388232827186584... |
A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: আঠেরো হাজারের বেশি প্রতিরক্ষা বাহিনীর সদস্য রাষ্ট্রসঙ্ঘের শান্তিরক্ষা প্রচেষ্টায় নিজেদের অবদান রেখেছে।
A: श्रीमान तेजस गायकवाड यांनीही नरेंद्र मोदी... | आज देशामध्ये रस्ते बनवण्याचा वेग, लोहमार्ग टाकण्याचा वेग, लोहमार्गाचे विद्युतीकरण करण्याचा वेग, नवीन विमानतळे निर्माण करण्याचा वेग, सरकारच्यावतीने गरिबांसाठी घरकूल योजनेतून गृहप्रकल्प बांधण्याचा वेग, बँकांमध्ये खाते उघडण्याचा वेग, स्वयंपाकासाठी गॅस कनेक्शन देण्याचा वेग पाहिला तर लक्षात येते, ही सर्व कामे पहिल्यापेक्षा ... | 4 | NIv2 | task1061_pib_translation_bengali_marathi | fs_opt | [
-0.1700395941734314,
0.13760563731193542,
-0.1539808213710785,
-0.1334993839263916,
-0.28098538517951965,
-1.5246758460998535,
1.0503032207489014,
0.7743501663208008,
-0.6407890915870667,
0.2432917356491089,
-0.8903120756149292,
0.283112496137619,
-1.0904269218444824,
0.1745348572731018,
... |
Teacher:In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Teacher: Now, understand the problem?... | Answer: eight feet | 6 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
-0.5622830390930176,
-0.36822032928466797,
-0.43838199973106384,
-0.5922710299491882,
0.04616791009902954,
-0.5675134658813477,
-0.10660984367132187,
0.2215815782546997,
-0.16980819404125214,
-0.21017056703567505,
-0.3249950408935547,
-0.6901251673698425,
-1.3944954872131348,
-0.1486689746... |
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 text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, ... | At Worcester <B-LOC> : Warwickshire <B-ORG> 310 ( A. <B-PER> Giles <I-PER> 83 , T. <B-PER> Munton <I-PER> 54 not | 0 | NIv2 | task610_conllpp_ner | fs_opt | [
0.3599250614643097,
-0.1648007482290268,
0.19609695672988892,
0.6127904653549194,
0.3712102174758911,
-0.2488408386707306,
-0.2672736346721649,
0.9460378885269165,
-0.62317955493927,
0.16354431211948395,
-0.09807394444942474,
0.2812356948852539,
-0.0707857683300972,
0.5763274431228638,
0... |
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.
Example Input: This product is good. However, I feel the carbonation i... | 2
| 3 | NIv2 | task588_amazonfood_rating_classification | fs_opt | [
0.7277126312255859,
0.3596552610397339,
-0.48290741443634033,
0.21178247034549713,
0.16636770963668823,
-0.3869185447692871,
0.818595290184021,
0.872693657875061,
-0.013360592536628246,
0.028150320053100586,
0.021553946658968925,
0.19040043652057648,
-0.9252596497535706,
-0.008179045282304... |
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 Japanese.
عاش الجميع تلك التجربة أو على وشك أن يعيشوها.
Output: | 全員が軍隊経験者か入隊を控えた人たちなのです | 1 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
0.10263136029243469,
0.09848898649215698,
-0.31947216391563416,
-0.6816985011100769,
-0.2808241844177246,
0.2655046880245209,
1.22580087184906,
0.07073511183261871,
0.9490259885787964,
-0.42202264070510864,
-0.15395627915859222,
-0.16352812945842743,
-0.4329712986946106,
0.8117562532424927... |
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
--------
Question: ASTANA, Kazakhstan, Sept. 4 (UPI) -- The plains of central Kazakhstan are littered with dead antelope, 60,000 of them -- an entire herd wiped out in just four days. And no one ... | Essena O'Neill became obsessed with social media in high school. By age 16, she had 50,000 followers, and got her first offer to monetize her social media accounts: A bikini company sent her free bikinis if she'd post photos of herself wearing them; soon, the Australian teen was charging companies to post photos of her... | 7 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.8476306200027466,
0.013121470808982849,
-0.5178807973861694,
0.032848916947841644,
0.5204963684082031,
-0.3137182295322418,
0.43286168575286865,
1.0798178911209106,
-0.8149102926254272,
0.15476660430431366,
-0.2769138813018799,
0.3644557595252991,
-0.640434205532074,
0.521865963935852,
... |
Teacher:In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Teacher: Now, understand the problem? Solve this instance: Com... | Non-sexual-explicit | 6 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-0.9232062101364136,
0.17319366335868835,
0.5427780151367188,
-0.0018128720112144947,
-0.20442742109298706,
-0.32839956879615784,
0.4667293429374695,
0.27264249324798584,
0.1762567013502121,
0.34729552268981934,
0.9329857230186462,
0.06728697568178177,
0.12895725667476654,
-1.0284576416015... |
Teacher: You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Teacher: Now, understand the problem? If you are still confused, see the following example:
System Referenc... | 0 | 2 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.6273812651634216,
0.46853959560394287,
-0.42384040355682373,
-0.03148519620299339,
-0.16304966807365417,
-0.014531063847243786,
0.821355938911438,
0.5335004329681396,
-0.24362754821777344,
-0.13725589215755463,
-0.03821410983800888,
-0.755279004573822,
-0.21496234834194183,
-0.206684648... |
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 letters E, C, and N respectively.
Sentence 1:... | C
| 0 | NIv2 | task190_snli_classification | fs_opt | [
-0.37888404726982117,
0.422069787979126,
-0.17713284492492676,
-0.14947865903377533,
-0.04186369478702545,
-0.7338149547576904,
0.12218480557203293,
0.8683689832687378,
0.3839271068572998,
-0.09226575493812561,
-0.6238035559654236,
-0.3084641098976135,
-0.13528484106063843,
-0.090753056108... |
Detailed Instructions: In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Q: Where is the best place to get a deal on a laptop?
A: | Where is the best place to get deals on TVs? | 9 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
0.4998868703842163,
0.5473389029502869,
-0.6129121780395508,
-0.07366913557052612,
-0.38532599806785583,
0.4835889935493469,
0.12844514846801758,
-0.11695563793182373,
0.38793277740478516,
-0.21694666147232056,
0.5210391283035278,
0.9016234874725342,
-0.7340346574783325,
0.8645243644714355... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | red_drawer
| 0 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.5400522351264954,
-0.3833933472633362,
-0.4628971219062805,
0.2682850956916809,
-0.2609538435935974,
-0.491682767868042,
0.06348598003387451,
0.8878195285797119,
-0.27117353677749634,
0.22751013934612274,
-0.31006622314453125,
0.7683635950088501,
-0.009712816216051579,
-0.115984916687011... |
You will be given a definition of a task first, then some input of the task.
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/techno... | Sports | 1 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.6786149144172668,
0.13786080479621887,
0.2120801955461502,
0.5505270957946777,
0.19992806017398834,
0.5229781866073608,
-0.13900744915008545,
0.35343480110168457,
0.03765013813972473,
0.38716936111450195,
-0.20649772882461548,
0.0949888825416565,
-0.2846236228942871,
-0.7040313482284546... |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used f... | .
****
| 4 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.31033217906951904,
0.16448312997817993,
-0.006898269988596439,
0.12252558767795563,
-0.10712325572967529,
-0.6347652673721313,
0.6275002956390381,
0.7592159509658813,
-0.31703662872314453,
-0.002320513827726245,
-0.4768660068511963,
0.07122203707695007,
-0.5260225534439087,
0.34216547012... |
Given the task definition and input, reply with output. The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
name[xname], cuisine[French], location[city centre], familyFriendly[no], near[xnear]
| xname is a non-family-friendly French restaurant located in the city centre near xnear. | 5 | NIv2 | task1598_nyc_long_text_generation | zs_opt | [
-0.638634979724884,
1.1102172136306763,
-0.43352413177490234,
-0.006561484187841415,
-0.32960212230682373,
0.04796503484249115,
0.6875318884849548,
0.1587945818901062,
0.3370921015739441,
-0.8044136762619019,
0.02297624573111534,
0.06617367267608643,
-0.5986534357070923,
-0.172545820474624... |
Instructions: Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL"... | no | 3 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
-0.10138005018234253,
0.35016927123069763,
0.29754841327667236,
-0.12426219135522842,
0.22400298714637756,
-1.1584516763687134,
0.5763013362884521,
0.8760587573051453,
-0.6031865477561951,
-0.09844434261322021,
-0.07900804281234741,
0.49089550971984863,
-0.39550769329071045,
-0.30084055662... |
Teacher: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" ... | Original | 6 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.6880589127540588,
1.0168204307556152,
0.0770333930850029,
-0.6196472644805908,
-0.16206905245780945,
-0.2645425796508789,
0.31307345628738403,
0.7802871465682983,
0.38253310322761536,
-0.5698859095573425,
-0.30710354447364807,
-0.38551825284957886,
-1.380662202835083,
-0.515295922756195... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Problem:Wydaje mi się, że wszędzie dookoła istnieje ukryty potencjał. Wydaje mi się, że wszędzie dookoła istnieje ukryty potencjał.
Solution: | ويبدو لي أن هناك هذه الإمكانيات الكامنة في كل مكان ، من حولنا. | 8 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.8562439680099487,
0.7537684440612793,
-0.024244118481874466,
-0.6771373152732849,
-0.42061305046081543,
0.07852727174758911,
1.4288814067840576,
-0.1408676952123642,
0.7700918912887573,
-0.7566324472427368,
-1.0272767543792725,
0.633389413356781,
-1.1437969207763672,
0.3051997721195221,... |
instruction:
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
question:
Comment: The lying thieves... | Threat
| 9 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.4716155230998993,
0.7242326140403748,
0.5411374568939209,
-0.07134467363357544,
0.04365204647183418,
-0.8434282541275024,
1.052824854850769,
0.6160314083099365,
-0.1603585183620453,
0.12343579530715942,
0.21522945165634155,
0.025889184325933456,
-0.7846150994300842,
-0.6589422821998596,... |
instruction:
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". Do not ge... | A
| 9 | NIv2 | task309_race_answer_generation | fs_opt | [
0.36231565475463867,
0.5877561569213867,
-0.23658904433250427,
-0.3305717408657074,
0.63034588098526,
-0.5434268712997437,
0.7617654800415039,
0.9657316207885742,
-0.42922672629356384,
-0.068018339574337,
0.2409876435995102,
0.575704038143158,
-0.7208977341651917,
0.3257105350494385,
-0.... |
Given the task definition and input, reply with output. Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide... | being upset that my husband didn't do anything for Valentine's day | 5 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
0.5481266975402832,
0.7725967168807983,
-0.14677876234054565,
-0.1545756459236145,
0.8623546361923218,
-0.6292811632156372,
0.2564307153224945,
0.8434823751449585,
-0.4476035237312317,
-0.1010301262140274,
-0.4186353385448456,
1.0983498096466064,
-0.745341420173645,
-0.26131874322891235,
... |
A text is given in Malayalam. Translate it from the Malayalam language to the Telugu language. The translation must not omit or add information to the original sentence.
ప్రతి ఒక్కరు ఇలాంటి నిర్ణయం కావాలని కోరుకున్నా, ఎవరో ఒకరు దాన్ని చేపట్టి ముందుకు తీసుకు వెళతారని ఆశిస్తూ, వేచి ఉన్నారని దీని అర్థం. | ഇതിനര്ത്ഥം എല്ലാവരും ഈ തീരുമാനം ആഗ്രഹിച്ചിരുന്നുവെന്നും, അതിന് മുന്കയ്യെടുക്കാനും മുന്നോട്ട് കൊണ്ടു പോകുന്നതിനും ആരെങ്കിലും വരുന്നതിനു വേണ്ടി അവര് കാത്തിരിക്കുകയായിരുന്നു എന്നുമാണ്. രാജ്യവാസികള് എനിക്കായി നിയോഗിച്ച കര്മ്മം പൂര്ത്തിയാക്കാനായി ഞാന് എത്തി. | 0 | NIv2 | task1050_pib_translation_telugu_malayalam | zs_opt | [
-0.17361801862716675,
0.5002928972244263,
-0.5104104280471802,
0.3086535334587097,
-0.10613186657428741,
-0.8379872441291809,
0.36672431230545044,
0.11111542582511902,
-0.3210827708244324,
-0.2967628538608551,
-0.1537526249885559,
-0.7990731000900269,
-1.0811669826507568,
0.186785191297531... |
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... | False | 8 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.18212297558784485,
-0.017190497368574142,
-0.25774335861206055,
0.32406631112098694,
-0.7885054349899292,
-0.4181147813796997,
1.0540931224822998,
-0.17240087687969208,
0.285642147064209,
0.18717257678508759,
-0.7295311689376831,
0.2034425437450409,
-0.3448296785354614,
0.15099504590034... |
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 reasoning ty... | How many assists did Jonathan Garcia's record beat Pablo Alicea's record by?
| 3 | NIv2 | task026_drop_question_generation | fs_opt | [
0.46545469760894775,
0.16140758991241455,
-0.5705669522285461,
0.039502374827861786,
0.5980316996574402,
-0.4782940149307251,
1.0635380744934082,
0.2579449415206909,
-0.16848821938037872,
-0.16723254323005676,
-0.7973461747169495,
0.5559521913528442,
-0.8436914682388306,
0.2531534433364868... |
In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb,... | Conj Pron V Pron V V Punc
| 1 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | fs_opt | [
0.6779555082321167,
-0.504748523235321,
0.0325583852827549,
0.3054199814796448,
0.0024056988768279552,
-0.6710475087165833,
0.44132936000823975,
0.713088870048523,
0.20808684825897217,
-0.15512758493423462,
-0.23314103484153748,
0.3321038484573364,
-0.0728713870048523,
0.565150260925293,
... |
Teacher:In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Teacher: Now, understand the problem? Solve this instance: [3631, 'X', 9101, 'j', 945, 'U', 2481, 'O', 'v', 'G', '7819', '2859', '8031', 't', '4467', '1531', '229', 'u', '5701', '2097', '7479', '5637', 'q', '398... | G, 7819, 2859, 8031, t, 4467, 1531, 229, u, 5701, 2097, 7479, 5637, q, 3983, C, 7285, 5061 | 6 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.3543652296066284,
-0.28340470790863037,
-0.41282886266708374,
-0.8605047464370728,
-0.15456056594848633,
-0.4396507143974304,
0.5477505326271057,
0.7854927778244019,
-0.9188613891601562,
-0.06783252954483032,
-0.4386711120605469,
-0.2669367492198944,
-0.11746286600828171,
-0.03202246129... |
Given the task definition and input, reply with output. A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2... | 46 | 5 | NIv2 | task090_equation_learner_algebra | zs_opt | [
0.16760101914405823,
0.9538184404373169,
-0.6378182768821716,
-0.6690352559089661,
-0.5847330093383789,
-0.14869289100170135,
0.9754299521446228,
0.6401196718215942,
0.09176105260848999,
-0.9764070510864258,
-0.7055631279945374,
0.7908202409744263,
-0.8370519876480103,
0.010197961702942848... |
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 such that it seamlessly connects with the rest of the story.
One example is below.
Q: Title: Marcus Buys Khakis. Sentence 1: Marcus needed clothing for a business casual event.... | I bought a new phone for a lot of money. | 9 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.28620538115501404,
0.9298332333564758,
-0.35488656163215637,
-0.520161509513855,
-0.14794380962848663,
0.5101784467697144,
0.8769734501838684,
0.3568342924118042,
0.08035258203744888,
0.09910918772220612,
-1.0492388010025024,
-0.10946758091449738,
-0.24096670746803284,
0.622566521167755... |
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".
English: The Dow Jones Industrial Average (DJIA), one of the main stock indices in the Un... | Yes
| 0 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.24447017908096313,
-0.14845862984657288,
0.2950160503387451,
0.5832388401031494,
-0.1043759435415268,
-0.5614771246910095,
-0.4218460023403168,
0.815218448638916,
-0.6770237684249878,
0.406485378742218,
-0.4692354202270508,
0.2072179615497589,
-0.5043172240257263,
0.4318488836288452,
... |
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
| 5 | NIv2 | task1207_atomic_classification_atlocation | fs_opt | [
0.18360620737075806,
0.21035438776016235,
0.392791211605072,
-0.4688479006290436,
-0.5288874506950378,
-0.5626591444015503,
0.8709530234336853,
0.3149137496948242,
-0.20526570081710815,
-0.4070920944213867,
-0.39874839782714844,
0.010389856994152069,
-0.7402787208557129,
0.6174917221069336... |
Given a sentence, generate a new 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 being true.
[Q]: Yo... | The owner can test the post .
| 5 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
-0.5113744735717773,
0.8071765899658203,
0.1546703726053238,
-0.20939218997955322,
-0.12755995988845825,
-0.21395540237426758,
0.34685537219047546,
0.26633018255233765,
0.1377822309732437,
-0.5200268626213074,
-0.15329080820083618,
0.1262122392654419,
-0.4819085896015167,
0.048045173287391... |
Detailed Instructions: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Problem:Context: Her m... | Answer: 2 | 8 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
-0.619207501411438,
0.7764112949371338,
-0.39690718054771423,
-0.32012131810188293,
-0.3501330018043518,
0.4487156271934509,
0.850455641746521,
0.8656747341156006,
-0.04709797352552414,
-0.12433835119009018,
-0.05097714066505432,
0.25612348318099976,
-0.7368097305297852,
0.0973044782876968... |
Definition: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text... | AGE | 2 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
-0.1289176642894745,
0.5698309540748596,
-0.31206125020980835,
-0.31226280331611633,
-0.442338764667511,
-0.3170391917228699,
1.320871114730835,
0.6532745361328125,
0.02961086854338646,
-0.027492791414260864,
-0.4931908845901489,
0.5852053761482239,
-0.5402207970619202,
0.10792659223079681... |
Definition: 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 not... | What is based on suface ice and melt conditions? | 2 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
0.5867117643356323,
-0.024503160268068314,
-0.18280911445617676,
0.31228363513946533,
0.6978011727333069,
-0.8713237643241882,
0.016645105555653572,
0.7880481481552124,
0.1871197670698166,
-0.4039062261581421,
-0.15308359265327454,
-0.005206234287470579,
-0.8323485851287842,
0.869099915027... |
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 words (e.g., "sympathetic" ... | Sentence 1: PersonX is not as limber or flexible as PersonY due to _ not being double jointed.
Sentence 2: PersonX is not as limber or flexible as PersonY even though _ is not being double jointed. | 9 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.35404306650161743,
0.19618210196495056,
-0.027043446898460388,
-0.21279706060886383,
0.510316789150238,
-0.49791866540908813,
0.8260922431945801,
0.7991609573364258,
-0.0661226287484169,
-0.5909561514854431,
-0.6183130741119385,
-0.2849311828613281,
-0.6269958019256592,
0.255358397960662... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Example input: Question1: How do I get into my Instagram if I forgot my email and my Facebook password?, Question2: I forgot my password and also my email password. how can I get ba... | Yes | 3 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
0.03325408324599266,
0.41255664825439453,
-0.24434123933315277,
0.4643762707710266,
-0.2328813076019287,
-0.5836290121078491,
1.1726033687591553,
0.6560896635055542,
0.5727877616882324,
-0.0831156075000763,
-0.1183861643075943,
-0.08716383576393127,
-1.146073818206787,
-0.5488840937614441,... |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
[EX Q]: Text: Tanggalin ang dami sa Dami. sa Ship field para sa ika-apat na linya.
[EX A]: Tagalog
[EX Q]: Text: Para sa Challenge na webcast, pahihintulutan ng kawani ng ... | English
| 6 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
-0.09400521963834763,
0.43376317620277405,
0.6866329312324524,
-1.165674090385437,
0.3763037323951721,
-0.759293794631958,
0.2454550862312317,
0.49563848972320557,
-0.1634734570980072,
0.056355591863393784,
0.0011474183993414044,
0.035676755011081696,
-0.7847091555595398,
-0.14873924851417... |
Teacher:You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and... | Yes. | 6 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.7385693788528442,
0.5484726428985596,
0.5676887035369873,
0.6401951313018799,
-0.39167314767837524,
-1.6105163097381592,
0.20192724466323853,
1.3091537952423096,
-0.02482684887945652,
-0.10285913944244385,
0.18548698723316193,
0.2205110788345337,
-0.282046914100647,
-0.5286335945129395,... |
You will be given a definition of a task first, then some input of the task.
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so... | telling a friend that I felt the friendship was lopsided | 1 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
0.5546244382858276,
0.07437644153833389,
0.15488287806510925,
-0.39107805490493774,
0.4014061689376831,
-0.4337243437767029,
1.1922504901885986,
0.7107540965080261,
-0.5229098200798035,
0.2453894317150116,
-0.10241828858852386,
0.296387255191803,
-0.44474560022354126,
0.07402678579092026,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Se fossimo all'esterno, la cosa sarebbe quasi priva di senso, intesa come prima del tempo. | Si estuviéramos fuera de esto casi no tendría sentido, en el sentido que sería antes del tiempo. | 0 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.8860191106796265,
1.3094160556793213,
-0.1774330735206604,
-0.06149980425834656,
-0.3151288330554962,
-0.6351385712623596,
-0.31937697529792786,
1.5623512268066406,
0.2918062210083008,
-0.06410200148820877,
-0.980379581451416,
-0.09527738392353058,
-0.8232872486114502,
0.093180932104587... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: Il cancro era troppo avanzato.
Student: | O cancro estaba moi avanzado. | 6 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.3562394678592682,
1.003815770149231,
0.22444018721580505,
-1.1007493734359741,
-0.27645063400268555,
-1.0449910163879395,
-0.13445930182933807,
0.615142822265625,
-0.35909026861190796,
0.02679777517914772,
0.0500500313937664,
-0.3227429687976837,
-0.7277668714523315,
0.1999892294406891,... |
Q: 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.
BACKGROUND/AIMs: Pleiotrophin (PTN) have been demonstrated to play an important role in the develop... | 0 | 7 | NIv2 | task848_pubmedqa_classification | zs_opt | [
0.21612274646759033,
-0.1064135730266571,
-0.31114670634269714,
0.11835598945617676,
0.46588122844696045,
-0.21908262372016907,
0.14263060688972473,
0.8790044784545898,
0.6584545373916626,
0.8828632831573486,
-0.269381046295166,
0.05098691210150719,
-0.9199488162994385,
0.39010223746299744... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Example input: 7
Example output: Yes
Example explanation: 7 is a prime number as it has no factors greater than 1. So... | No | 3 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.34293466806411743,
1.2713730335235596,
0.07159606367349625,
0.024758238345384598,
-0.0956234484910965,
-0.4492528736591339,
0.7401527166366577,
0.9690116047859192,
0.3831176161766052,
-0.28242027759552,
-0.14032107591629028,
0.13374006748199463,
-0.6164852380752563,
0.01115585770457983,... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | REFERENCE boyfriend | 9 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
0.19701343774795532,
0.27548861503601074,
-0.6054289937019348,
-0.009409897029399872,
-0.2575562596321106,
-0.7415977716445923,
1.2422332763671875,
0.5898860692977905,
-0.34630459547042847,
-0.03416746109724045,
-0.49852728843688965,
0.09953063726425171,
-0.3585417568683624,
0.014885932207... |
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the inde... | Solution: (1, 2) | 5 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.12130190432071686,
0.4339429438114166,
0.04585619270801544,
-1.0084338188171387,
-0.05330231040716171,
-0.24765878915786743,
0.25341033935546875,
0.6578500866889954,
0.09284229576587677,
-0.21855425834655762,
-0.36411887407302856,
-0.05208220332860947,
-0.08821824193000793,
-0.176323652... |
Part 1. Definition
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Part 2. Example
این یک خانه ی اسکیمو می شود.
Answer: Così diventa un igloo.
Explanation: The Farsi sentence is correctly translated into Italian, because the meaning is preserved.
Part 3. Exercise
اما از دی... | Ma la compassione, dalla mia posizione privilegiata, ha un problema. | 7 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.11978839337825775,
0.5070653557777405,
-0.13737599551677704,
-0.5135492086410522,
0.07249321043491364,
-0.8016248345375061,
1.001744031906128,
-0.12464407086372375,
0.24855387210845947,
-0.3071024417877197,
-0.7448201775550842,
0.7878135442733765,
-0.568612277507782,
0.3738374710083008,... |
You are given a question title. You need to classify it into one of the 10 topics: 0 - 'Society & Culture', 1 - 'Science & Mathematics', 2 - 'Health', 3 - 'Education & Reference', 4 - 'Computers & Internet', 5 - 'Sports', 6 - 'Business & Finance', 7 - 'Entertainment & Music', 8 - 'Family & Relationships', 9 - 'Politics... | 5
| 5 | NIv2 | task1592_yahoo_answers_topics_classfication | fs_opt | [
-0.12714818120002747,
0.06565147638320923,
-0.005422573536634445,
0.12199829518795013,
0.03958793729543686,
-0.1317116618156433,
-0.05516810715198517,
0.12457282841205597,
0.364644855260849,
-0.5233305096626282,
0.1336054503917694,
0.0299091674387455,
-0.4909895062446594,
-0.66608279943466... |
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 legalize cannabis<sep>Argument: Cannabis is useful in helping... | False
| 0 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
0.612565279006958,
0.46378570795059204,
-0.5283616781234741,
-0.3671112656593323,
-0.41979649662971497,
-0.25323545932769775,
0.48643237352371216,
0.7906533479690552,
0.31835269927978516,
0.5082253813743591,
-0.7126302719116211,
-0.13484054803848267,
-0.6249039173126221,
0.0195296555757522... |
Given the task definition and input, reply with output. 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.
9886 - 1880 - 3746 + 9... | 13871 | 5 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.5463016629219055,
0.49941176176071167,
-0.6434338092803955,
-0.2571759819984436,
-0.4497683048248291,
0.16650375723838806,
0.7079201340675354,
0.8476344347000122,
0.4448114037513733,
-0.3780174255371094,
-0.5494264960289001,
0.0101983193308115,
-0.6212028861045837,
0.30119749903678894,
... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Example: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
Output: Poradzi sobie, ale trzeba na nią uważać.
The Arabic sentence is correctly translated ... | Można konkurować albo współpracować. | 1 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
-0.16897225379943848,
1.4496387243270874,
0.034603364765644073,
-0.4698251783847809,
-0.461833655834198,
0.3492237627506256,
0.7728661894798279,
-0.12031255662441254,
0.5403822660446167,
0.1247665137052536,
-0.827829122543335,
0.40630626678466797,
-0.5580534934997559,
0.17028287053108215,
... |
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.
Example input: Title: Marcus Buys Khakis. Sentence 1: Marc... | It tasted very good. | 3 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
0.19516098499298096,
1.0576417446136475,
-0.03390425443649292,
-0.2929888963699341,
-0.0678500384092331,
0.18838107585906982,
0.5158044099807739,
0.5484991073608398,
0.10834620147943497,
0.3189888000488281,
-0.6984096169471741,
-0.045423466712236404,
-0.08442655205726624,
0.131094366312026... |
Q: A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
పర్సనల్ మేనేజ్మెంట్ ఇంకా పబ్లిక్ అడ్మినిస్ట్రేశన్ రంగంలో సహకారం కోసం భారతదేశం మరియు సింగపూర్ ల మధ్య అవగాహనపూర్వక ఒప్పంద పత్రం (ఎమ్ఒయు) పై సం... | प्रधानमंत्री श्री नरेन्द्र मोदी की अध्यक्षता में केन्द्रीय मंत्रिमंडल ने कार्मिक प्रबंधन तथा लोक प्रशासन के क्षेत्र में सहयोग के लिए भारत और सिंगापुर के बीच समझौता ज्ञापन पर हस्ताक्षर को अपनी स्वीकृति दे दी है। | 7 | NIv2 | task1046_pib_translation_telugu_hindi | zs_opt | [
-0.03837679326534271,
0.2271682322025299,
-0.019554506987333298,
-0.8194533586502075,
0.41636914014816284,
-0.6823985576629639,
0.38473379611968994,
-0.19477565586566925,
0.09220157563686371,
0.07668102532625198,
0.41644173860549927,
-1.052148461341858,
0.11934175342321396,
0.1434142589569... |
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 | [
-0.40430110692977905,
0.4735420048236847,
-0.04438867047429085,
0.46657273173332214,
-0.3022095561027527,
-0.5638468861579895,
-0.24047820270061493,
-0.17103144526481628,
0.1722344160079956,
-0.1140505000948906,
-0.22449997067451477,
0.1410677582025528,
-0.05148389935493469,
-0.41952690482... |
Teacher:In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What r... | True | 6 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
0.32816576957702637,
0.23543186485767365,
-0.3731110095977783,
-0.2509365975856781,
-0.177423894405365,
-0.15921318531036377,
0.5343759059906006,
1.2643593549728394,
-0.1153775006532669,
-0.21194875240325928,
-0.6917942762374878,
-0.31639179587364197,
-0.0733613595366478,
-0.10469326376914... |
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been se... | N | 4 | NIv2 | task534_farstail_entailment | zs_opt | [
-0.9936996102333069,
0.470244824886322,
0.22659048438072205,
0.26549291610717773,
-0.4160650968551636,
0.3293188512325287,
0.8357028365135193,
-0.1285216212272644,
0.5196114778518677,
-0.6177312135696411,
-0.4297969937324524,
0.27433618903160095,
-0.3797418177127838,
-0.0027964685577899218... |
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT ... | ¿Cómo ganó los comicios Gbagbo? | 8 | NIv2 | task1335_sqac_question_generation | fs_opt | [
0.7903662323951721,
0.24923887848854065,
-0.4817841053009033,
-0.19500409066677094,
0.36028510332107544,
0.01731167733669281,
0.9889962673187256,
1.0602190494537354,
-0.22703514993190765,
-0.025891698896884918,
-0.5482771396636963,
0.5636495351791382,
-0.4509391486644745,
0.017524793744087... |
Teacher:Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: Krasnenkovはオルロフの発言はチェチェンの不安定を煽っていると述べ、記者に「人権擁護者は哀れな人々だ」と語った。
Student: | Krasnenkov ໄດ້ເວົ້າວ່າຄຳເວົ້າຂອງ Orlov ໄດ້ຊ່ວຍໃຫ້ປັ່ນປ່ວນ Chechnya ແລະ ໄດ້ບອກກັບນັກຂ່າວວ່າ "ຜູ້ປົກປ້ອງສິດທິມະນຸດ ແມ່ນຜູ້ທີ່ເດືອດຮ້ອນ." | 6 | NIv2 | task1124_alt_ja_lo_translation | zs_opt | [
0.178416907787323,
0.2257724106311798,
-0.5027984380722046,
-0.9788092970848083,
-0.2934921979904175,
-0.2721184492111206,
1.0118026733398438,
0.5329181551933289,
-0.575928807258606,
-0.7279108166694641,
-0.6104997396469116,
-0.04146658629179001,
-1.1934473514556885,
0.19450163841247559,
... |
Part 1. Definition
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Part 2. Example
Italy have defeated Portugal 31-5 in Pool ... | यह खबर अप्रैल में चीन द्वारा विकिपीडिया के अन्य सभी भाषा विविधताओं की अनब्लॉकिंग के बाद आई है। | 7 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
0.2806350886821747,
1.1223053932189941,
-0.15815171599388123,
0.4810595214366913,
-0.11922143399715424,
-0.2271295040845871,
0.2621202766895294,
0.569231390953064,
0.13075624406337738,
-0.3665470778942108,
-0.772967517375946,
0.23938369750976562,
-0.15762640535831451,
0.39128702878952026,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Example input: وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة مرة أخرى للتأكد.
Example output: و آنگاه آنها کُد می نوشتند ، معمولا ... | ابراز عقیده کردن یه رفتار پرخطره ، اما این ابزارها خطرات رو کمتر میکنن. | 3 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.5363941192626953,
0.5830763578414917,
-0.8026834726333618,
-0.3694455623626709,
-0.02993050217628479,
0.16794763505458832,
1.0330653190612793,
-0.12503832578659058,
0.02100556343793869,
-0.3945300877094269,
-1.043436884880066,
0.42093589901924133,
-0.1676248013973236,
0.3135169148445129... |
TASK DEFINITION: In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). N... | (4, 5)
| 8 | NIv2 | task089_swap_words_verification | fs_opt | [
0.03624526038765907,
0.7113178968429565,
-0.2752825617790222,
-0.49251991510391235,
-0.08172562718391418,
-0.14694085717201233,
0.16526757180690765,
0.2892434895038605,
0.03982578217983246,
-0.1935044229030609,
0.20280076563358307,
-0.08369509875774384,
-0.14522868394851685,
0.068251401185... |
Teacher: 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 ... | No | 2 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
1.5592820644378662,
-0.15497086942195892,
-0.1654520034790039,
0.1627313196659088,
-0.29124006628990173,
-1.3117024898529053,
1.4864625930786133,
0.546678900718689,
-1.005286693572998,
0.09125036001205444,
-0.05699042230844498,
-0.43504440784454346,
-0.8118960857391357,
-0.1689886599779129... |
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" base... | Original | 4 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.6309855580329895,
1.061693787574768,
0.4395638704299927,
-0.1102692112326622,
-0.14452432096004486,
-0.34119218587875366,
0.5454360842704773,
0.6532757878303528,
0.13505002856254578,
-0.0823156088590622,
-0.5618401765823364,
-0.4048529863357544,
-0.9976056218147278,
-0.20355752110481262... |
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 the 5 given options and r... | Option D
****
| 4 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.6307374238967896,
0.650892972946167,
-0.5167347192764282,
0.39998769760131836,
-0.17423303425312042,
0.14542531967163086,
0.4912096858024597,
1.0827586650848389,
-0.02914533205330372,
0.018632149323821068,
-0.5990920066833496,
0.4702686071395874,
-0.5973545908927917,
0.051875025033950806... |
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... | 2 | 0 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
-0.10795386135578156,
0.34802937507629395,
-0.1416976898908615,
0.19792629778385162,
0.04498990625143051,
-0.48743170499801636,
0.30186107754707336,
0.9892271161079407,
0.008325349539518356,
0.323413610458374,
-0.34154337644577026,
-0.09468778967857361,
-0.18139007687568665,
-0.55468833446... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.