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 |
|---|---|---|---|---|---|---|
Q: In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Same great taste as the honeybush tea bags, but so much more green! Thank you for packaging this in bulk!
A: | Much better than tea bags | 7 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
-0.16373643279075623,
0.5741928815841675,
0.14526677131652832,
-0.8522899150848389,
-0.4366382956504822,
-0.814944863319397,
0.17811736464500427,
0.4234314560890198,
-0.27654173970222473,
0.4989613890647888,
-0.15916377305984497,
-0.33030521869659424,
-0.20534881949424744,
0.22231884300708... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Q: Cada homem merece a oportunidade de aspirar a algum luxo.
A: | 「全ての男性にはちょっとばかりの贅沢を生やす権利があるわ」と | 9 | NIv2 | task1275_ted_translation_pt_ja | zs_opt | [
-0.236773282289505,
0.32919153571128845,
0.12065643072128296,
-1.0083849430084229,
-0.06402190029621124,
0.18873122334480286,
0.758916437625885,
-0.15935856103897095,
0.8175036907196045,
-1.3721468448638916,
-0.26256704330444336,
0.29612699151039124,
-0.6992241144180298,
0.2918269038200378... |
instruction:
In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
question:
This is in harmony with Jesus... | Yoruba
| 9 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | fs_opt | [
0.26447051763534546,
0.31407129764556885,
0.5255213379859924,
0.13507093489170074,
-0.19153958559036255,
-1.4078291654586792,
-0.5842419862747192,
0.5256204605102539,
0.38700059056282043,
-0.4702899158000946,
0.19896644353866577,
0.35894495248794556,
-0.8702241778373718,
-0.270775556564331... |
Teacher:In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements th... | eq { count { filter_eq { all_rows ; year joined ; 1953 } } ; 4 } | 6 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.25806477665901184,
-0.1632920801639557,
-0.5255224704742432,
0.28657248616218567,
0.28482070565223694,
-0.4993162751197815,
0.6807509660720825,
0.7573847770690918,
0.022227810695767403,
-0.229638934135437,
-0.19343635439872742,
-0.1369253396987915,
-0.28042304515838623,
0.490676224231719... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must b... | Sentence 1: The lecture went on forever and the students started leaving the classroom to get to the _ they had next.
Answer1: lecture.
Sentence 2: The lecture went on forever and the students started leaving the classroom before they were late to the _ they had next.
Answer2: classroom. | 9 | NIv2 | task029_winogrande_full_object | fs_opt | [
0.47673532366752625,
0.33364030718803406,
-0.06075496971607208,
-0.36516836285591125,
0.804962694644928,
-0.8177405595779419,
0.43364596366882324,
1.1788878440856934,
-0.6007616519927979,
-0.32391491532325745,
-0.397605836391449,
0.0021331915631890297,
-0.5843542218208313,
-0.0774948000907... |
Q: 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 buildi... | jump around left twice after run left | 7 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.27586889266967773,
0.8665329217910767,
-0.4440309703350067,
0.05633565038442612,
0.03641870617866516,
0.1688000112771988,
0.11155077815055847,
0.8186005353927612,
-0.39018622040748596,
-0.3478131890296936,
-0.9470019340515137,
-0.26779890060424805,
-0.9268243312835693,
-0.085819438099861... |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example: Review: For a movie that gets no respect there sure are a ... | Solution: no | 5 | NIv2 | task285_imdb_answer_generation | fs_opt | [
0.26904189586639404,
0.005934158805757761,
-0.318181574344635,
0.2703118920326233,
0.5761988162994385,
-0.3880988359451294,
1.2077629566192627,
0.9473779201507568,
0.15662968158721924,
-0.3331577479839325,
-0.14893344044685364,
0.15675482153892517,
-0.35806936025619507,
0.02326734177768230... |
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.
Example Input: Category: WORD HISTORY
Clue: Since the 1600s this 8-letter word has meant men ... | chocolate
| 3 | NIv2 | task307_jeopardy_answer_generation_final | fs_opt | [
-0.5900609493255615,
0.46835094690322876,
-0.06481629610061646,
-0.1542685329914093,
0.21860958635807037,
-0.12513965368270874,
0.4994598925113678,
-0.2881806492805481,
0.5807806253433228,
-0.5371846556663513,
0.10990864783525467,
0.09979452192783356,
-0.8246546387672424,
-0.03017164207994... |
Part 1. Definition
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing... | holding sentence within properly calculated advisory guidelines range is presumptively reasonable | 7 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.8471108675003052,
0.36016547679901123,
-0.549756646156311,
0.006475473288446665,
0.5558012127876282,
-1.4194931983947754,
0.3944196105003357,
0.904627799987793,
-0.24566718935966492,
0.1834813505411148,
-0.542181134223938,
0.4789087474346161,
-0.6817577481269836,
0.009155410341918468,
... |
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
Q: [-14.357, 78.851, 239.415, 209.764, -29.023, ... | 77.28 | 4 | NIv2 | task094_conala_calculate_mean | zs_opt | [
-0.34551480412483215,
0.39513134956359863,
-0.9081821441650391,
-1.1642647981643677,
0.15335692465305328,
-0.05407039076089859,
0.4914993345737457,
0.21349644660949707,
-0.23292475938796997,
0.14345315098762512,
-1.0577338933944702,
0.7648102045059204,
-0.7782900333404541,
0.25243115425109... |
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 will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original questi... | #1 return ball
#2 return #1 that is green
#3 return #2 that is shiny
#4 return cylinder
#5 return #4 that is small
#6 return #5 in front of #3
#7 return color of #6 | 0 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.7076388597488403,
-0.22023043036460876,
-0.641254186630249,
0.49437031149864197,
0.14756929874420166,
-0.07989966869354248,
0.8537263870239258,
0.6476150751113892,
-0.5235435962677002,
0.5196791887283325,
-0.44822436571121216,
0.058784760534763336,
0.24223394691944122,
0.428723007440567,... |
Definition: Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Input: Problem: at a recent small town election for mayor a tot... | c | 2 | NIv2 | task1678_mathqa_answer_selection | zs_opt | [
0.07275626063346863,
0.37181025743484497,
-0.14701725542545319,
0.2722600996494293,
0.16380375623703003,
0.12599343061447144,
0.3271044194698334,
0.4075128436088562,
0.14002594351768494,
-0.07028478384017944,
-0.6917388439178467,
-0.013599821366369724,
0.42663466930389404,
-0.1856356561183... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
['8363', 'u', '5191']
O... | 8363, 21, 5191 | 1 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
-0.26539504528045654,
0.020336119458079338,
0.23403316736221313,
-0.06426770240068436,
0.6948018074035645,
-0.5074524879455566,
0.06965848803520203,
0.22763633728027344,
0.3961169123649597,
-0.20526933670043945,
0.0764148086309433,
-0.27752920985221863,
0.4642779231071472,
-0.8446152806282... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
[EX Q]: [[4, 31, -29], [-5, 40, -8, -9], [-40, 16... | [-8346780, -6160, 84624, 476, -440, -23030]
| 6 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
-0.2298877239227295,
-0.2589174211025238,
-0.9316964149475098,
-0.44809189438819885,
0.09168488532304764,
-0.23971891403198242,
1.3952341079711914,
0.48765337467193604,
-0.6347342729568481,
-0.2650538980960846,
-0.7581878900527954,
0.19552144408226013,
-1.1200523376464844,
-0.0514801815152... |
In this task, you are given a question. You have to answer the question based on your information.
Gedeon Burkhard appeared as Corporal Wilhelm Wicki in what film that was written and directed by Quentin Tarantino? | Inglourious Basterds | 0 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
-0.4909954071044922,
1.107456922531128,
0.644508421421051,
-0.4070035517215729,
0.0697559118270874,
0.07174769788980484,
0.4678426682949066,
0.1444849967956543,
-0.39622288942337036,
-0.4448934495449066,
0.039290282875299454,
-0.35915741324424744,
-1.3655824661254883,
0.5436548590660095,
... |
Given the task definition and input, reply with output. You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્ય... | ભારત | 5 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
-0.15360383689403534,
0.9770932197570801,
0.1573100984096527,
-0.27013662457466125,
-0.15500596165657043,
-0.23490741848945618,
0.23675434291362762,
0.5831236839294434,
-0.14150603115558624,
-0.2875673472881317,
-0.1786932796239853,
0.6283575296401978,
-0.4741125702857971,
-0.5280047655105... |
Detailed Instructions: Given a text, write a compressed version of it in a single sentence.
Problem:Ibrahim, who holds dual United States and Egyptian citizenship, is 63 years old and ailing. The verdict should be annulled, not just on humanitarian grounds but because his prosecution is an abrogation of the most basic ... | Holding a dual citizenship for the United States and Egypt, Ibrahim is 63 years old and ailing. The verdict should be annulled because his prosecution is an abrogation of justice. | 8 | NIv2 | task1340_msr_text_compression_compression | zs_opt | [
0.43155282735824585,
-0.22368673980236053,
0.45429253578186035,
-0.8480505347251892,
-0.2233332097530365,
-0.37956851720809937,
0.3510776162147522,
0.559221088886261,
0.4737491309642792,
0.41761744022369385,
-0.7366429567337036,
0.46492689847946167,
-0.6060293316841125,
-0.1943874657154083... |
Instructions: Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabi... | Les jeunes enfants ne devraient pas parler à des étrangers. | 3 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.425628125667572,
1.1242238283157349,
-0.16875362396240234,
-0.5363198518753052,
-0.02100934088230133,
0.36669695377349854,
0.6698681116104126,
0.7558683156967163,
0.2015012800693512,
-0.2589718699455261,
-1.1734964847564697,
0.29195910692214966,
-0.46109938621520996,
-0.2856122255325317... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexual, racia... | No
****
| 4 | NIv2 | task609_sbic_potentially_offense_binary_classification | fs_opt | [
-0.7559689879417419,
0.21686989068984985,
0.510458767414093,
0.31575968861579895,
-0.07978175580501556,
-0.46931982040405273,
0.7818151712417603,
0.2914409041404724,
0.33875930309295654,
0.2818396985530853,
-0.1753832846879959,
-0.40347930788993835,
-0.3634202480316162,
-0.7854475975036621... |
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.
Some Museums and galleries in Saskatchewan are the, Mackenzie Art Gallery, Remai Modern, Rcmp Heritage Centre, and the Saskatchewan Wes... | Some Museums and galleries in Saskatchewan are the, Mackenzie Art Gallery, Remai Modern, Rcmp Heritage Centre, and the Saskatchewan Western Development Museum. | 0 | NIv2 | task576_curiosity_dialogs_answer_generation | zs_opt | [
-0.4646615982055664,
0.4665718674659729,
-0.3218936324119568,
-0.7058849930763245,
-0.29894891381263733,
-0.22954368591308594,
0.8695484399795532,
-0.1619870513677597,
-0.16531069576740265,
-0.25033038854599,
0.2805124819278717,
0.12239605188369751,
-0.05274094268679619,
0.2327854633331298... |
Detailed Instructions: Given a comment text in Malayalam, classify the comment into one of these categories (i) Hope speech, (ii) Not Hope Speech or (iii) Not in Expected Language. A hope speech contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Q: @Th... | Hope Speech | 9 | NIv2 | task681_hope_edi_malayalam_text_classification | zs_opt | [
-0.5380727052688599,
0.6521077156066895,
0.4566863179206848,
-0.06868886947631836,
-0.2915119528770447,
-1.13572096824646,
0.35697418451309204,
1.082784652709961,
-0.2591158449649811,
0.23965121805667877,
-1.0663021802902222,
-0.026560723781585693,
-0.312566339969635,
0.05497564747929573,
... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Q: De repente, la densidad del aire no es la misma.
A: | All of a sudden the density of the air is no longer the same. | 9 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.3479365110397339,
0.5105199217796326,
0.04180113971233368,
-1.1069447994232178,
-0.43212026357650757,
-1.1901057958602905,
-0.7083108425140381,
1.7554734945297241,
0.6063286066055298,
-0.3053382635116577,
-0.3262258768081665,
-0.5260021090507507,
-0.8560327887535095,
-0.3116888999938965... |
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.
Example... | You would join the army because you order to work your country . | 3 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
-0.06485007703304291,
0.0778481587767601,
-0.07088515162467957,
-0.5889151692390442,
-0.23830187320709229,
-0.8384563326835632,
1.0640838146209717,
0.17081746459007263,
0.016130153089761734,
-0.04910549521446228,
-0.736264705657959,
-0.19183340668678284,
-1.0882033109664917,
0.070644542574... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the q... | What position does the person who moved Donnelly to Western Economic Diversification currently hold? | 0 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
0.4475085139274597,
-0.0480123907327652,
-0.4006538987159729,
-0.16839119791984558,
0.5702346563339233,
-0.8015687465667725,
0.7848037481307983,
0.7641202807426453,
-0.4506042003631592,
0.7306596636772156,
0.16216632723808289,
1.2597845792770386,
-0.9481110572814941,
0.30644816160202026,
... |
Definition: 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.
Input: You want to no about child support ?
How many miles between North Korea and Alaska ?
What is wyoming... | What year did julius caesar marry calpurnia pisonis ? | 2 | NIv2 | task675_google_wellformed_query_sentence_generation | zs_opt | [
-0.23864638805389404,
0.3978825807571411,
-0.7816168069839478,
-0.24141825735569,
-0.4891197681427002,
0.04196934401988983,
0.12677757441997528,
-0.2283996343612671,
0.7012799978256226,
0.4617040455341339,
0.2974870502948761,
0.14781835675239563,
-0.09319405257701874,
0.46437016129493713,
... |
This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Q: Warum brauchen Piemontesen, Bayern oder Schotten... | ¿Por qué los piemonteses, los bávaros o los escoceses necesitan burocracias nacionales intermedias para administrar sus políticas fiscales, sus programas de bienestar, sus leyes de seguridad y sus duplicados y en mayor parte innecesarios ejércitos? | 4 | NIv2 | task1373_newscomm_translation | zs_opt | [
-0.6286288499832153,
0.7106785178184509,
-0.047502025961875916,
-0.5388234257698059,
-0.023779485374689102,
-0.4696471095085144,
0.9925597906112671,
0.7840316891670227,
0.7039452791213989,
-0.1584346890449524,
-0.07579943537712097,
0.3747006058692932,
-0.6482563018798828,
-0.29110062122344... |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | there once be a boy name nick who would play all day with stick hea'd play all day in the hay with his best friend ricky rick | 4 | NIv2 | task1711_poki_text_generation | zs_opt | [
-0.2668111324310303,
1.6890407800674438,
-0.028162796050310135,
-1.1198124885559082,
-0.5484501719474792,
-0.3435989022254944,
0.6880674362182617,
0.39510971307754517,
0.18700015544891357,
-0.2163480967283249,
-0.5991687774658203,
1.0240118503570557,
-0.6230989694595337,
0.3337892293930053... |
Detailed Instructions: 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.
See one example below:
Problem: Hi. I want information about Namibia.
Nmbia is a country in southern Africa.
... | The U.S. is a major supplier of equipment for their oil and gas industry and U.S. companies play a big role in gas field development. | 4 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.3415297269821167,
0.4000452160835266,
-0.29885709285736084,
-0.6176596283912659,
-0.4949190020561218,
-0.07259964197874069,
0.8767738342285156,
0.2936703562736511,
0.026184022426605225,
0.5653479099273682,
-0.7099937796592712,
-0.40148991346359253,
-0.5350565910339355,
0.0705505758523941... |
Teacher: In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Teacher: Now, understand the problem? If you are still ... | 3 | 2 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.11104860156774521,
0.446626752614975,
-0.6129043698310852,
0.022033311426639557,
0.6315065026283264,
-0.19003820419311523,
0.7684574127197266,
1.2953228950500488,
-0.02568988874554634,
0.16310814023017883,
0.08481770753860474,
0.33813685178756714,
-0.3172430396080017,
-0.0345572270452976... |
Teacher:Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation,... | drafted by | 6 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
0.015331690199673176,
-0.2732962369918823,
-0.27309703826904297,
-0.8167186975479126,
0.1571136713027954,
-0.10687833279371262,
0.04726117104291916,
0.024822546169161797,
0.47852349281311035,
-0.207246333360672,
0.04974549636244774,
-0.17164522409439087,
-0.5819111466407776,
-0.36425447463... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Ex Input:
Tienes razón, te equivocas. Eres verdad, eres falso.
Ex Output:
أنت على حق ، لست على حق. أنت حقيقي ، أنت مزيف.
Ex Input:
Así que las nombramos las botas frescas.
Ex Output:
لذلك نصف هذه باحذية التبريد.
Ex In... | فهو مقياس كفاءة.. وحسن أداء
| 1 | NIv2 | task1228_ted_translation_es_ar | fs_opt | [
-0.19405433535575867,
0.5910138487815857,
-0.14817072451114655,
0.24369876086711884,
-0.35824650526046753,
-0.3050863742828369,
0.9142992496490479,
0.2935250401496887,
0.06697888672351837,
-0.05099133774638176,
-0.9929951429367065,
0.22845947742462158,
-0.7337957620620728,
0.15252171456813... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal... | [16.0, -8.0, -170, -21.5, -19.5, -0.5, -386, -82, 16.5, -8.5] | 4 | NIv2 | task368_synthetic_even_or_odd_calculation | zs_opt | [
-0.8727573752403259,
0.7632216811180115,
-0.07537664473056793,
-0.3041667342185974,
0.2299843430519104,
0.1661834418773651,
1.3564180135726929,
-0.35867106914520264,
-0.1454293429851532,
0.27735573053359985,
-0.4973950982093811,
-0.16707058250904083,
-0.492264986038208,
-0.1223500967025756... |
Teacher: The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Given such a dialogue, output the price range th... | Cheap | 2 | NIv2 | task1500_dstc3_classification | fs_opt | [
0.8036795258522034,
0.13448333740234375,
-0.5140516757965088,
-0.06733665615320206,
0.5049306154251099,
-0.7592372894287109,
0.40202802419662476,
0.46457812190055847,
-0.3046363592147827,
0.10070280730724335,
0.649303674697876,
-0.2672155201435089,
0.04763902723789215,
-0.29998528957366943... |
In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
অনুবাদ এর ভাব আরও ভালো করা উচিত। কেননা কিছু কিছু লাইনে লেখকের লেখার মাধুর্য একেবারে হারিয়ে গিয়েছে। | negative | 0 | NIv2 | task1497_bengali_book_reviews_sentiment_classification | zs_opt | [
-1.4313735961914062,
-0.19922155141830444,
0.7148408889770508,
-0.05291362851858139,
0.4453553259372711,
0.5888442397117615,
0.722809910774231,
0.05958014726638794,
0.30021780729293823,
-0.2672954201698303,
-1.1176904439926147,
-0.3150644898414612,
0.012537425383925438,
0.2563704252243042,... |
Detailed Instructions: 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'.
Q: 3... | -623 | 9 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
-0.5236878991127014,
0.9947001338005066,
-0.17687039077281952,
-0.05104486644268036,
-0.8197612762451172,
-0.17057695984840393,
0.8334389328956604,
0.6683914065361023,
0.2538418173789978,
-0.7579788565635681,
-1.2980680465698242,
-0.32971251010894775,
-0.6588947772979736,
0.549480915069580... |
Q: 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 i... | (7, 8) | 7 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.6769016981124878,
0.6982505321502686,
-0.2664521634578705,
-0.3278579115867615,
-0.2848970293998718,
-0.5407497882843018,
0.0861683189868927,
0.6667038202285767,
-0.11147339642047882,
-0.01938263326883316,
0.21246269345283508,
-0.046859368681907654,
-0.1285681128501892,
0.16494810581207... |
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.
広報担当者は「亡くなった女性は火傷と同様の傷を負っていて、他の人はこの件に関わっていたとは考えられていない」と言った。 | Sinabi ng isang tagapagsalita: "Ang namatay na babae ay may sugat na kaugnay sa pagkasunog, walang ibang tao ang pinaniniwalaang nasangkot sa insidente." | 0 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
-0.28760403394699097,
0.2910834550857544,
-0.17687872052192688,
-0.3159177899360657,
0.12307846546173096,
-0.6525052785873413,
0.7728687524795532,
0.4250565469264984,
-0.004932575859129429,
-0.06603056937456131,
-0.3661174178123474,
0.39463770389556885,
-0.7150493264198303,
0.8774300813674... |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Input: Consider Input: Streetlights and traffic lights... | Output: English
| 2 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | fs_opt | [
-0.9324257373809814,
0.8292640447616577,
0.6654825806617737,
-0.03621723875403404,
0.19618850946426392,
-0.668149471282959,
-0.040992122143507004,
0.3961249589920044,
-0.13325992226600647,
-0.6767053604125977,
-0.6243071556091309,
0.03393575921654701,
-0.4160643219947815,
-0.69954645633697... |
Q: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
['8205', 'z', '8951', '4637', '9613', 'g', '8319']
A: | 39725 | 7 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
-1.0300929546356201,
0.6773254871368408,
-0.5834074020385742,
-0.9311789274215698,
0.18772795796394348,
0.0209762305021286,
0.4976978898048401,
-1.0003777742385864,
-0.44620075821876526,
0.05804044380784035,
-0.6323150396347046,
-0.23463788628578186,
0.261076956987381,
-0.3137260973453522,... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
3, ['7835', '8157', 'q', '1331', '9025', '8057', '1681', '4049', '5333', 'H', '8769', 'h', 'y']
7835, 8157, q, 1... | 6487, Q, A, 4219, a, 7419, 8551
| 0 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.1656719148159027,
0.23570358753204346,
-0.3795144557952881,
-0.8131530284881592,
-0.44088810682296753,
0.19519886374473572,
0.4292104244232178,
-0.10841558873653412,
-0.41668498516082764,
-0.021051887422800064,
-0.8106365203857422,
0.18476347625255585,
0.6663224697113037,
-0.195237964391... |
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Ex Input:
if that 's the evidence from the car bombing in mexico , we have no legal right to process it .
Ex Output:
if it 's evidence of the ... | but the thing with the stereotype made me think , because , let 's see - ramón is cuban .
| 1 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
0.04418880492448807,
0.29922738671302795,
0.47425004839897156,
0.2997957468032837,
-0.35617566108703613,
-0.3993793725967407,
0.4277017116546631,
1.3319175243377686,
0.17001016438007355,
-0.18098214268684387,
-0.3817684054374695,
-0.31168070435523987,
-0.7293905019760132,
0.029840789735317... |
TASK DEFINITION: Given a fact, create a question that can be answered using the fact. Construct the question such that it is unambiguous, has a unique answer and the answer can be given using the fact.
PROBLEM: Fact: oceans cover 70% of the surface of the earth
SOLUTION: What substance covers more than sixty nine perc... | We might use our carbon dioxide waste to?
| 8 | NIv2 | task1398_obqa_question_generation | fs_opt | [
0.03138764947652817,
0.7727987766265869,
-0.4958308935165405,
-1.0404491424560547,
-0.710597038269043,
-0.7545723915100098,
0.6825526356697083,
-0.10483773797750473,
-0.19409626722335815,
-0.30867403745651245,
-0.3912452459335327,
0.31742221117019653,
-0.8163505792617798,
0.301758527755737... |
Teacher: Given a sentence in German, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Die NBA-Saison 1975 - 76 war die 30. Saison der Nationa... | La lanza de carga es una lanza grande que se puede "cargar" para formar una cuchilla orgánica afilada que se puede usar para apuñalar a los enemigos. | 2 | NIv2 | task804_pawsx_german_spanish_translation | fs_opt | [
0.0783519372344017,
-0.5321314334869385,
-0.228312149643898,
-0.2048342525959015,
0.0035524312406778336,
-0.7384431958198547,
0.7106080651283264,
1.0360313653945923,
0.08795607835054398,
0.48383426666259766,
0.11442887783050537,
0.9246760010719299,
-1.194636583328247,
-0.11053134500980377,... |
Q: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a comma... | I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_RIGHT I_RUN | 7 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
0.18432492017745972,
0.9005734920501709,
-0.33082470297813416,
0.09916296601295471,
-0.03146474063396454,
0.07209506630897522,
-0.0036219151224941015,
0.120766282081604,
-0.022867685183882713,
-0.2687704861164093,
-0.7571842074394226,
-0.30433231592178345,
-0.8512535095214844,
-0.142073005... |
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 will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by... | Jamie cries >Causes/Enables> Jamie stops crying | 0 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
0.06327080726623535,
0.08746874332427979,
-0.0736476331949234,
0.27188360691070557,
0.008516848087310791,
-0.8416365385055542,
-0.03370770812034607,
1.0117779970169067,
-0.3253176808357239,
0.05170929431915283,
-0.5449720025062561,
-0.27629899978637695,
-0.35164618492126465,
-0.32476928830... |
Detailed Instructions: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Y... | No | 8 | NIv2 | task227_clariq_classification | zs_opt | [
-0.9340778589248657,
0.11967241764068604,
0.2975318133831024,
0.6310948729515076,
-0.45640650391578674,
-1.0101840496063232,
0.5775863528251648,
0.48046404123306274,
0.618951678276062,
0.4812980890274048,
0.25483885407447815,
-0.26850003004074097,
-0.49424222111701965,
0.22570915520191193,... |
Teacher:Translate the given Spanish text to English
Teacher: Now, understand the problem? Solve this instance: The invention herein includes a general method for reducing or eliminating a toxic effect of transgenic defensin expression in a host plant.
Student: | La presente invención incluye un método general para reducir o eliminar un efecto tóxico de la expresión de defensina transgénica en una planta huésped. | 6 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
-0.03452640026807785,
0.44866520166397095,
-0.439900279045105,
-0.4535634219646454,
-0.2192211002111435,
-1.09049391746521,
0.002233684528619051,
1.3246371746063232,
0.5797561407089233,
0.046605199575424194,
-0.7298547625541687,
0.34292492270469666,
-0.7653753161430359,
-0.3995898365974426... |
Given the task definition and input, reply with output. In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list... | [20425, -1029, 49] | 5 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.7177611589431763,
0.7103589177131653,
-0.33120423555374146,
-0.41119205951690674,
-0.08278021216392517,
-0.03472458943724632,
1.1031414270401,
-0.1487627476453781,
0.06136202812194824,
-0.05539499223232269,
-1.0141820907592773,
-0.5002692937850952,
-0.3110021948814392,
-0.19434945285320... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
[EX Q]: (Risas) Además de la construcción de estos pequeños robots, también experimentamos con comportamientos agresivos, como ven aquí.
[EX A]: (צחוק) בנוסף לבניית הרובוטים הקטנים האלו, אנחנו מתנסים עם התנהגויות אגרסיביות,... | האם כולנו יכולים באופן שיטתי ומתוך כוונה להידבק?
| 6 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.5353274941444397,
0.4272529184818268,
0.05953708291053772,
-0.13978135585784912,
-0.8885581493377686,
-0.4432387053966522,
0.48366647958755493,
-0.10790056735277176,
0.9057621955871582,
-0.014079432003200054,
-0.5838315486907959,
0.3981782793998718,
-0.3627716302871704,
0.15825481712818... |
Detailed Instructions: In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in ... | #1 return touchdown runs
#2 return yards of #1
#3 return the shortest of #2 | 9 | NIv2 | task176_break_decompose_questions | zs_opt | [
1.024454116821289,
-0.09631019830703735,
-0.7985532283782959,
0.6187977194786072,
0.4809117913246155,
-0.3333379030227661,
1.1937408447265625,
0.3169826865196228,
-0.46675822138786316,
0.18461763858795166,
-0.5071631669998169,
-0.033057644963264465,
0.03227926045656204,
0.6508179306983948,... |
Detailed Instructions: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Q: charles darnay
A: | Lucie Manette married Charles Darnay in which Dickens novel? | 9 | NIv2 | task897_freebase_qa_topic_question_generation | zs_opt | [
0.05939797684550285,
0.5356563925743103,
-1.1761233806610107,
-0.10250388085842133,
-0.06336331367492676,
-0.7563220858573914,
0.43134891986846924,
-0.3227793574333191,
0.1567813754081726,
-0.14593914151191711,
-0.6223139762878418,
-0.392549991607666,
-1.270206332206726,
-0.198727130889892... |
In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
--------
Question: Pawn (chess) -- Unlike the other pieces, pawns cannot move backwards. Normally a pawn moves by advancing... | can 2 people's dna be the same
| 7 | NIv2 | task1660_super_glue_question_generation | fs_opt | [
0.1914943903684616,
0.03968748450279236,
-0.32795554399490356,
0.046547599136829376,
0.26178795099258423,
-0.6865984201431274,
0.820243239402771,
0.6735419631004333,
-0.5783424377441406,
0.3461605906486511,
-0.32293540239334106,
0.7700392007827759,
-0.7895353436470032,
0.39309751987457275,... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
One example: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Solution is here: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Explanation: The Farsi sentence is correctl... | ここまでで何が分かったのでしょうか? | 6 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
0.04958633333444595,
1.2932230234146118,
-0.4973524808883667,
0.07511191070079803,
-0.5311557054519653,
-0.08288843929767609,
1.1135492324829102,
0.5098192691802979,
0.4067312180995941,
-0.6566318273544312,
-0.9094786643981934,
0.22885443270206451,
-0.8677191138267517,
0.462038516998291,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given dvd 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.
Unglaublich dic... | POS | 1 | NIv2 | task480_cls_german_dvd_classification | zs_opt | [
-0.20102813839912415,
-0.0988285094499588,
-0.46686941385269165,
-0.10981272161006927,
-0.07551807910203934,
0.519524335861206,
0.7269291877746582,
0.9017035961151123,
0.09325634688138962,
0.29002612829208374,
0.2261786162853241,
-0.4205697774887085,
-0.4611775279045105,
-0.116273120045661... |
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 inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length o... | 6775, 5421, 453, A, 5189, J, h, 179, S, w, x, 9505, u | 0 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
-0.009273008443415165,
-0.06197146698832512,
-0.2917303442955017,
-0.16557341814041138,
-0.11020860075950623,
-0.2630198895931244,
0.5363006591796875,
0.46644434332847595,
-0.6593611240386963,
-0.08070102334022522,
-0.7427091598510742,
-0.16045795381069183,
0.4131476879119873,
-0.080316990... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
One example is below.
Q: życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zmian Kobiety wojny i bólu Czuję waszą siłę tak ona powiedziała Jeśli czujesz się bezsilna, pomóż k... | אנו נמצאים בקניון פול וצופים מערבה על המדרון המערבי של הר וושינגטון, שגובהו 3.5 ק "" מ. | 9 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.6159118413925171,
0.41437530517578125,
-0.34350693225860596,
-0.12235834449529648,
-0.07119825482368469,
-1.1872612237930298,
1.351913571357727,
0.6001431941986084,
0.673865795135498,
-0.37148839235305786,
-0.7559123635292053,
0.5415265560150146,
-1.3202908039093018,
0.33583325147628784... |
You will be given a definition of a task first, then some input of the task.
Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Passage: On 8 February 2007, BSkyB announced its intention to replace it... | digital terrestrial | 1 | NIv2 | task1608_xquad_en_answer_generation | zs_opt | [
-0.5818487405776978,
0.33443209528923035,
0.41288167238235474,
-0.32235807180404663,
0.13000108301639557,
1.6093599796295166,
0.7017560005187988,
0.3440748155117035,
0.11871795356273651,
-0.17581841349601746,
0.3797077536582947,
0.37344449758529663,
-0.638811469078064,
0.013057028874754906... |
Detailed Instructions: In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answ... | Numbers Win | 8 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.1372978538274765,
0.5197579860687256,
-0.41623055934906006,
-0.36699753999710083,
-0.3697444200515747,
-0.6177211999893188,
0.6520304679870605,
-0.41370782256126404,
-0.044924601912498474,
0.5377529859542847,
-0.904960036277771,
-0.07854368537664413,
-0.10346367955207825,
0.222291648387... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Q: ここでも、東アフリカの農業経営者や投資者を集めて有機農産物関する基準を考えました。より良い価格でした
A: | De nuevo, reunidos granjeros y reunidos juntos tenedores de apuestas en África Oriental para fijar estándares para los productos orgánicos. Mejores precios. | 9 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.2217567414045334,
-0.19446395337581635,
-0.6533522605895996,
-0.4883267879486084,
-0.05075657367706299,
-0.860802412033081,
-0.49242353439331055,
0.7013245224952698,
-0.06333998590707779,
0.3018716275691986,
-0.6562391519546509,
0.23680314421653748,
-0.5946855545043945,
-0.0159342586994... |
Q: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Fact1: Veins generally carry deoxygenated blood., Fact2: Blood carries blood cells., Question: What do veins carry? (A) copper (B) glucose (C) Energy (D) L... | G | 7 | NIv2 | task1297_qasc_question_answering | zs_opt | [
0.36659136414527893,
0.2782564163208008,
-0.6996733546257019,
0.3468538820743561,
-0.6539813280105591,
-0.9758857488632202,
0.38188520073890686,
0.9510375261306763,
0.3383301794528961,
-0.4760916233062744,
-0.3502267003059387,
0.14937156438827515,
0.2542448341846466,
0.004915392026305199,
... |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Example Input: Statement: Initially weakened by an outbreak of plag... | 1
| 3 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
0.5983002185821533,
0.2620113790035248,
-0.12869799137115479,
-0.3308553099632263,
-0.13225501775741577,
-0.9750654697418213,
0.4129592776298523,
0.6662588119506836,
-0.17443203926086426,
-0.01004913728684187,
-0.9414654970169067,
0.4070417881011963,
-0.2394663393497467,
-0.444948762655258... |
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".
Example input: English: Details were given by the UK Transport Secretary, Ruth Kelly, in ... | Yes | 3 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.48905184864997864,
0.24363753199577332,
0.537492036819458,
0.1597791463136673,
0.3166118264198303,
-0.23219507932662964,
0.04507414624094963,
0.5344791412353516,
-0.12589924037456512,
-0.09481680393218994,
-0.020772818475961685,
0.6361171007156372,
0.26458391547203064,
0.471927225589752... |
Detailed Instructions: Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expr... | Positive | 8 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-0.7605612277984619,
-0.06446279585361481,
0.7035496234893799,
-0.3613060414791107,
-0.32777032256126404,
-0.26856666803359985,
1.3546714782714844,
0.1946030855178833,
1.1488072872161865,
0.0745551809668541,
-0.6820778250694275,
-0.468672513961792,
-0.4638555645942688,
-0.10056747496128082... |
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 concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j... | n9855K40786314213113Q215td1543
****
| 4 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.2611442804336548,
-0.1909942924976349,
-0.40907275676727295,
-0.3527366518974304,
-0.21785715222358704,
-0.5424321889877319,
0.7223141193389893,
0.46888604760169983,
-1.050171136856079,
0.3305351138114929,
-0.9903512001037598,
0.27782049775123596,
-0.3549290597438812,
0.08788719773292542... |
Given the task definition and input, reply with output. Given a sentence in Arabic, generate a new Arabic 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 plausi... | السبب في أن يكون لديك طفل هو أنك تبحث عن مرض. | 5 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | zs_opt | [
-0.6407971978187561,
0.48456382751464844,
0.20295603573322296,
-0.4799256920814514,
-0.43818050622940063,
-0.3568347692489624,
1.0797810554504395,
0.8095914721488953,
0.02267390862107277,
0.11686353385448456,
-1.0756995677947998,
0.5100744366645813,
-0.9941459894180298,
0.11497142910957336... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Input: הדרך למטה היא דרך של בניה מתוחמת, בה הקירות מחוברים נכון, הבניין סימטרי, והוא יעמוד ברעידת אדמה.
Output: | A maneira minoritária é um edifício feito com alvenaria confinada, onde as paredes estão seguras umas às outras, o edifíio é simétrico, e irá aguentar um terramoto. | 2 | NIv2 | task1114_ted_translation_he_pt | zs_opt | [
-0.3255327343940735,
0.9137245416641235,
-0.059166572988033295,
0.43454357981681824,
0.449179470539093,
0.007519617676734924,
0.2847556173801422,
1.2052316665649414,
0.07846347987651825,
0.20279477536678314,
-1.0023679733276367,
0.129514679312706,
-0.4787144958972931,
-0.24497172236442566,... |
Definition: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Input: Whose accession to the throne of England created the Union of the Scottish/English Crowns in 1603?
Output: | james vi and i | 2 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
0.2273516058921814,
1.1067185401916504,
-0.35396772623062134,
-0.7053285241127014,
-0.7172142267227173,
-0.7642526626586914,
0.37520381808280945,
-0.13806843757629395,
0.4524545669555664,
-0.5445230007171631,
0.057934679090976715,
0.7875295281410217,
-0.6144407987594604,
0.1110199615359306... |
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 agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | Two men in a field. | 3 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.5008736252784729,
0.8071558475494385,
-0.09307526797056198,
-0.7584720253944397,
-0.4162367880344391,
-0.3656582832336426,
-0.14215266704559326,
0.6467328071594238,
0.3351755738258362,
-0.6935803890228271,
-0.9638559818267822,
-0.36593717336654663,
-0.6913235187530518,
-0.00489183142781... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or... | strengthener
| 5 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.3777635097503662,
0.7571761608123779,
0.013001842424273491,
0.09312637150287628,
-0.22845926880836487,
-0.7855978012084961,
0.7180676460266113,
0.7710326910018921,
0.6705076694488525,
-0.6257822513580322,
-1.2322375774383545,
-0.0005581362638622522,
-0.9788526296615601,
-0.1083087846636... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contain... | Obscene | 8 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.5844732522964478,
0.03798297792673111,
0.9277447462081909,
0.2731565535068512,
0.4188440144062042,
-0.40569907426834106,
-0.2652697265148163,
0.42693567276000977,
0.16323959827423096,
0.4894883632659912,
-0.37533700466156006,
-0.16093501448631287,
-0.29481083154678345,
-1.23463690280914... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: Airbus chief executive Noel Forgeard stated that... | エアバスの最高経営責任者であるNoelForgeardは、収支が合うプロジェクトに求められる250席を超える航空機の販売を期待していると述べました。 | 9 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
-0.4871925115585327,
-0.20842452347278595,
0.2631581723690033,
-0.5784839391708374,
0.2583599090576172,
-0.037288304418325424,
0.743215024471283,
0.06351377069950104,
0.017699778079986572,
0.6161069869995117,
-0.37813758850097656,
0.5720798969268799,
-0.3690023124217987,
-0.172311335802078... |
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 fine 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 : '$': D... | Solution: VB | 5 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.19538506865501404,
0.2989025115966797,
-0.0465722531080246,
0.34765952825546265,
0.12281724810600281,
-0.8576042056083679,
0.8064014911651611,
1.0287123918533325,
-0.7235527038574219,
-0.2015460729598999,
-0.04799942299723625,
0.3700781464576721,
-0.3107790946960449,
0.16654227674007416,... |
In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
[Q]: Sentence 1: Portia was coloring a picture of the cookie monst... | Leaves
| 5 | NIv2 | task219_rocstories_title_answer_generation | fs_opt | [
0.144510418176651,
0.08884519338607788,
-0.1274346113204956,
-0.6369562745094299,
0.3457289934158325,
-0.43026238679885864,
0.09398574382066727,
0.9665218591690063,
-0.32406359910964966,
-0.21331901848316193,
-0.03855453431606293,
-0.6415422558784485,
0.026662107557058334,
0.15790900588035... |
Teacher:In this task, you are given a sentence in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? Solve this instance: what in gods name whats this .
Student: | ببين خدا چيکار کرده اين ديگه چيه . | 6 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
-0.5603861212730408,
0.625417947769165,
-0.17183467745780945,
-0.0800098404288292,
-0.7785382270812988,
-0.7849133610725403,
0.7311109304428101,
0.3608168959617615,
0.4654884934425354,
-0.29928040504455566,
-0.2198932021856308,
0.1265498548746109,
-0.21392324566841125,
-0.8053682446479797,... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Input: As you've heard from many of the talks, statistics underpins an enormous amount of research in science — in social science, in medicine and indeed, quite a lot of industry.
Output: | كما سمعنا من العديد من المحادثات ، الإحصاء تدعم كمية ماهولة من البحوث في العلوم — في العلوم الإجتماعية ، في الطب وبالطبع ، الكثير من الصناعة. | 2 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
-0.5282840728759766,
-0.09081672877073288,
-0.5773619413375854,
-0.6962194442749023,
0.16162852942943573,
0.35448428988456726,
-0.13323292136192322,
-0.05917992442846298,
0.6388633251190186,
0.41313233971595764,
-1.1888059377670288,
0.4454779326915741,
-0.14448414742946625,
0.3661061227321... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Input: Consider Input:... | Output: [82, 532, 33, 93, 41, 52, 598, 244]
| 2 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.6017411947250366,
0.4292692244052887,
-0.17612051963806152,
-0.46275681257247925,
-0.2730405628681183,
-0.0169221218675375,
0.8714970946311951,
0.06296346336603165,
-0.23881524801254272,
0.38082629442214966,
-1.27240788936615,
-0.3296453356742859,
-0.3943852186203003,
-0.459586352109909... |
A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
Let me give you an example: ഇന്ന് ഒരു വിദൂരസ്ഥ ഗ്രാമത്തിലെ പാവപ്പെട്ട പൗരന് തന്റെ അവകാശങ്ങള് നേടുന്നതിനായി ദീര്ഘദൂരം യാത്ര ചെയ്യേണ്ടതായോ ഇടനിലക്കാര്... | وزارت خزانہ کالا دھن مخالف اقدامات نے تقریباً 1. | 8 | NIv2 | task1059_pib_translation_malayalam_urdu | fs_opt | [
-0.0857764258980751,
0.7268583178520203,
-0.2875164747238159,
-1.0769782066345215,
-0.14102596044540405,
-0.056651219725608826,
-0.2821209728717804,
0.2431541532278061,
-0.6806021332740784,
-0.3694104850292206,
-0.5896512269973755,
-0.3311750888824463,
-0.24053841829299927,
-0.568041145801... |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common'... | Solution: music | 5 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.3387046456336975,
0.5265493392944336,
0.09288807213306427,
-0.18578645586967468,
0.4564738869667053,
0.10463191568851471,
0.1946004033088684,
0.4795246720314026,
0.1029934510588646,
0.030876468867063522,
-0.29159343242645264,
0.06027520075440407,
-0.4277890920639038,
-0.1496526300907135,... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
[Q]: ، حتي اگر وجود داشته باشه . نميخوام بدونم .
[A]: even if it does exist , i just dont want to know .
[Q]: حومه نشيني .
[A]: suburbia .
[Q]: آدم بسيار شرير .
[A]: | fiend .
| 5 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
-0.21417516469955444,
0.7185326814651489,
-0.14703913033008575,
0.04946316033601761,
-0.39357876777648926,
-0.19235169887542725,
0.4235392212867737,
0.18620751798152924,
0.350417822599411,
-0.040314868092536926,
-0.5834846496582031,
0.7575985193252563,
-0.9064431190490723,
-0.0629083588719... |
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... | using a gasoline engine requires consuming gasoline. | 9 | NIv2 | task038_qasc_combined_fact | fs_opt | [
-0.020543141290545464,
0.5961192846298218,
-0.5672283172607422,
0.03554392233490944,
-0.6866360306739807,
-1.377448558807373,
-0.17097453773021698,
1.43715238571167,
-0.5720415115356445,
-0.02386724390089512,
-1.2591071128845215,
0.2643808424472809,
0.1822718381881714,
-0.03077436983585357... |
TASK DEFINITION: In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
PROBLEM: Cordless unit caused the GFI and trip and not the unit will not charge at all.. Dead.. Nice unit, easy to use takes two tanks with of water to do the job, one for bottom and one for t... | ALERT:This IS NOT White Chocolate (This is white baking chips) read on.
| 8 | NIv2 | task618_amazonreview_summary_text_generation | fs_opt | [
-0.24419867992401123,
0.32480335235595703,
0.23371732234954834,
-0.20076090097427368,
0.003432762110605836,
-0.41229355335235596,
0.3140968084335327,
0.7515735030174255,
-0.35532549023628235,
0.371097594499588,
0.06683315336704254,
0.106387659907341,
-0.6728352308273315,
0.0521536841988563... |
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 VBD DT NN IN DT JJS NN IN NN IN NN CD IN NNP NNP NNP NN IN DT NNP TO DT NNP . | 4 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
-0.26568758487701416,
0.6267284154891968,
-0.32380640506744385,
0.11171144247055054,
-0.29099082946777344,
-0.26798567175865173,
0.8219729065895081,
0.47796663641929626,
-0.08611980080604553,
-0.10555049777030945,
-0.40518784523010254,
0.25540563464164734,
-0.42836758494377136,
-0.00028027... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Now have come to you, from your Lord, proofs (to open your eyes): if any will see, it will be for (the good of) his own soul; if ... | بی تردید برای شما از سوی پروردگارتان دلایلی روشن آمده، پس هر که [به وسیله آن دلایل بینا شود و حقایق را با چشم دل] ببیند به سود خود اوست و هر که [با پشت کردن به دلایل] کوردل شود [و از دیدن حقایق محروم گردد] به زیان خود اوست، [وظیفه من ابلاغ پیام خداست] و بر شما حافظ و نگهبان نیستم. | 1 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.09054332971572876,
0.8075621724128723,
0.33896976709365845,
-0.5872266888618469,
-0.10669726133346558,
-0.30049246549606323,
0.7651830911636353,
0.47427618503570557,
0.3355329930782318,
0.2640364468097687,
-0.156062513589859,
0.3246680498123169,
-0.48495540022850037,
0.01624242216348648... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
כבר נתקלנו בזה, וזה יכול להיגמר רע מאוד.
| We've already seen this, and it can go horribly wrong. | 5 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.5912516117095947,
1.3083806037902832,
1.0084338188171387,
0.0603514164686203,
-0.33848294615745544,
-0.3833828866481781,
0.0005988420452922583,
0.06540863960981369,
0.969946026802063,
-0.10744965076446533,
-0.42524394392967224,
0.8222870826721191,
-0.6487983465194702,
-0.038844369351863... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: ساعت پنج، هنوز خورشید غروب نکرده بود که زن از تخت پایین پرید،
A: | At five o' clock, with the sun still high, she jumped out of bed, | 4 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
0.3102140724658966,
1.2765192985534668,
-1.1924620866775513,
-0.19336488842964172,
-0.713178277015686,
-0.3347240686416626,
0.3637077212333679,
1.2785465717315674,
0.20283949375152588,
-0.4335644841194153,
-0.5404218435287476,
-0.15150633454322815,
-0.6995404362678528,
0.07927653193473816,... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Italian.
Input: And it was a huge success.
Output: | Ed è stato un enorme successo. | 2 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.15194275975227356,
1.2241779565811157,
-0.1310528814792633,
0.15870539844036102,
-0.00911460816860199,
0.004037003964185715,
-0.7118988037109375,
0.5712252855300903,
0.5389858484268188,
-0.17701910436153412,
-0.7526328563690186,
0.4520898461341858,
0.07057073712348938,
0.098166249692440... |
Detailed Instructions: In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the ... | Yes | 4 | NIv2 | task1517_limit_classfication | fs_opt | [
-0.3587161600589752,
0.2517120838165283,
0.162298321723938,
0.9878518581390381,
-0.14171119034290314,
-0.21374540030956268,
0.3888566792011261,
1.3405213356018066,
0.3456606864929199,
0.291710764169693,
-0.13716794550418854,
-0.18660365045070648,
-0.15700046718120575,
0.3027355670928955,
... |
Detailed Instructions: We would like you to classify each of the following sets of argument pairs (discussing Gun Control) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not hav... | Not similar | 9 | NIv2 | task146_afs_argument_similarity_gun_control | zs_opt | [
-0.7516252994537354,
-0.09524650871753693,
0.2286355048418045,
-0.3339580297470093,
0.15075647830963135,
-0.4672711491584778,
0.395263135433197,
1.1077994108200073,
-0.04656218737363815,
0.7764079570770264,
-0.470378577709198,
0.08081964403390884,
-0.6542311310768127,
0.1357754021883011,
... |
Given the task definition and input, reply with output. You are given a statement written in Marathi. 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: आग्नेय आशिया हा <MASK> खंडामधील एक भौगोलिक प्र... | आशिया | 5 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
0.5126774907112122,
0.5223003625869751,
0.2157410979270935,
-0.5342855453491211,
-0.14258192479610443,
-0.23441439867019653,
-0.5379194021224976,
0.3526639938354492,
-0.6217560768127441,
0.07277143001556396,
-0.12388212978839874,
-0.45613640546798706,
0.04409895837306976,
-0.21388339996337... |
In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
simiisismmmsiss
sismmmsis
qwqwaaqwqwaaw
waaw
ewweewekek... | ewwe
| 0 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.15825271606445312,
1.3008970022201538,
0.10460573434829712,
-0.7164211273193359,
-0.14940139651298523,
-0.6182188391685486,
0.8408329486846924,
0.09804113209247589,
0.14604628086090088,
0.14463117718696594,
-0.3118060827255249,
0.6995201110839844,
-0.570587158203125,
0.3299698233604431,... |
Teacher:You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to find t... | algebra | 6 | NIv2 | task834_mathdataset_classification | zs_opt | [
0.11075611412525177,
0.01921500265598297,
0.12181807309389114,
-0.09270381182432175,
0.10557286441326141,
-0.15458855032920837,
0.33920925855636597,
0.8406126499176025,
0.33626171946525574,
-0.2831287384033203,
-0.9329673051834106,
0.4087294042110443,
-0.6635496616363525,
-0.14057520031929... |
Q: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
-لا (بين).
A: | No, Pen. | 7 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
-0.3610610365867615,
0.5687284469604492,
-0.04015527293086052,
-0.5748088955879211,
0.10032902657985687,
0.7535168528556824,
-0.04068257659673691,
0.7746318578720093,
-0.08218658715486526,
0.09439688175916672,
0.09161479026079178,
0.3576658070087433,
-0.30962204933166504,
0.099205374717712... |
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, mil... | emotional status | 4 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
0.11319887638092041,
0.2661767303943634,
-0.33429932594299316,
-0.394898921251297,
0.3052343428134918,
-0.24314528703689575,
-0.2448963224887848,
0.4834459125995636,
0.32234928011894226,
0.05501363426446915,
-0.4013364613056183,
-0.07646350562572479,
-0.23632588982582092,
-0.38833260536193... |
Given the task definition, example input & output, solve the new input case.
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that... | volume. | 1 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.3607526421546936,
0.7939332127571106,
-0.202525794506073,
0.489755779504776,
0.2451765537261963,
-0.8759432435035706,
0.2602655291557312,
0.6948035955429077,
0.1516691893339157,
-0.2240368127822876,
-1.0596014261245728,
0.3990999460220337,
0.046363577246665955,
0.01823827624320984,
0.2... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a statement written in Gujarati. 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 o... | ભારત | 0 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | fs_opt | [
0.41798847913742065,
0.7097694873809814,
0.07606419175863266,
-0.4477406442165375,
-0.290534645318985,
0.009263863787055016,
0.4892463684082031,
0.8996051549911499,
-0.37330037355422974,
-0.0550057590007782,
-0.2671651840209961,
0.28603631258010864,
-0.4244568347930908,
-0.0227463170886039... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sente... | 1, 2. | 9 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
0.3867564797401428,
0.21470552682876587,
-0.6459676027297974,
-0.18543998897075653,
0.08288590610027313,
0.04953163117170334,
0.2756603956222534,
0.8495627045631409,
-0.15201598405838013,
-0.0476873554289341,
-0.7497566938400269,
0.33472970128059387,
-0.4909782111644745,
-0.061194021254777... |
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 | 3 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.17237582802772522,
0.1738201528787613,
0.3889932632446289,
-0.11899550259113312,
-0.41135111451148987,
-0.8467282056808472,
1.0340328216552734,
0.36264845728874207,
-0.5755283236503601,
-0.24025040864944458,
-0.3160264492034912,
-0.27149444818496704,
-0.7861582040786743,
0.31588762998580... |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or ant... | Unrelated | 4 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
0.3305110037326813,
0.6659621000289917,
-0.033761896193027496,
0.2569340467453003,
-0.679771900177002,
0.2811206579208374,
0.9119176864624023,
0.8991938829421997,
-0.3765906095504761,
-0.3200990557670593,
-0.7401788234710693,
0.12998095154762268,
-0.6433526873588562,
-0.19073930382728577,
... |
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Example input: Bob took the woman from work a cake
Example output: Bob took a cake to the w... | Alice carted the clothes to the team from work | 3 | NIv2 | task132_dais_text_modification | fs_opt | [
0.09258024394512177,
0.9738248586654663,
-0.1596018224954605,
0.04320051148533821,
0.16786301136016846,
-0.8791507482528687,
0.10396863520145416,
-0.03844738379120827,
0.34171226620674133,
-0.23514604568481445,
-0.26987752318382263,
0.20887291431427002,
-0.19479554891586304,
-0.04631021991... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Q: Relationship: 'appoint', Argument/Subject 1: 'president', Argument/Subject 2: 'nominate committee'
A: The President shall appoint a Nominating Committee at least one month ... | Anyone who disagrees should present some sort of solid evidence of how these events influenced the current Thanksgiving holiday in the United States .
****
| 4 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
0.09363552927970886,
0.6270763874053955,
0.12452976405620575,
0.274314820766449,
-0.33657699823379517,
-0.6266164779663086,
-0.0013294629752635956,
0.4266321063041687,
-0.6777967810630798,
-0.412984162569046,
0.05859367921948433,
-0.2941613793373108,
0.19963803887367249,
0.1860764920711517... |
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