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 |
|---|---|---|---|---|---|---|
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Input: "" Czuję się taki wolny; tak mi dobrze "".
Output: | "أشعر أنني طليق السراح. أشعر بتحسن كبير." | 2 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.13262580335140228,
0.4039543569087982,
-0.5666481256484985,
-0.7358971834182739,
-0.15097454190254211,
-0.5193516612052917,
1.6468136310577393,
-0.29458311200141907,
1.004715085029602,
0.16532398760318756,
-0.7836530208587646,
0.045160554349422455,
-0.820475697517395,
0.0455572865903377... |
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.
[EX Q]: Sen... | C
| 6 | NIv2 | task190_snli_classification | fs_opt | [
-0.22853684425354004,
0.7512031197547913,
0.11054328083992004,
-0.2937663197517395,
0.43069931864738464,
-0.8475868701934814,
0.4179212152957916,
0.8135983943939209,
0.12643443048000336,
0.12259730696678162,
-0.5254585146903992,
0.005658763460814953,
-0.29410332441329956,
-0.34232383966445... |
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... | Output: Option B
| 2 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.42911314964294434,
0.09746627509593964,
-0.5079324245452881,
0.06294000893831253,
0.26325348019599915,
0.1466616690158844,
0.3626890480518341,
1.0296134948730469,
-0.04230562597513199,
-0.034806497395038605,
-0.4073258340358734,
0.6996853351593018,
-0.13647089898586273,
-0.12192673981189... |
Teacher: From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Given Relationship: 'make', Sentence: 'Jenny made the announc... | landed | 2 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.2030060887336731,
0.6966140866279602,
-0.34934964776039124,
-0.5982954502105713,
-0.11993170529603958,
-0.27302366495132446,
-0.030707770958542824,
1.5085514783859253,
-0.0552549883723259,
0.32821333408355713,
-0.2286268174648285,
0.2374074012041092,
-0.537418782711029,
0.08687110245227... |
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Let me give you an example: By Marianna SpringSpecialist disinformation reporter, BBC News The adverts show the Democratic Party challenger with an earpiece, and say that he refused to have his ears che... | The Supreme Court has ruled that investigations into the murder of the Belfast solicitor Pat Finucane have not been effective. | 8 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
0.1712888926267624,
0.6432181596755981,
-0.5455620884895325,
-0.18136921525001526,
0.2628198266029358,
0.13552415370941162,
0.6555262804031372,
1.152941107749939,
-0.32111820578575134,
0.24097952246665955,
0.10766297578811646,
0.7056681513786316,
-0.40107232332229614,
0.04830531030893326,
... |
Instructions: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. I... | agent: Hold on for a moment. Let me check. | 3 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.568415105342865,
0.20100757479667664,
0.06835374236106873,
-0.5518428087234497,
0.5185703039169312,
0.059625133872032166,
0.5968488454818726,
0.09786297380924225,
-0.3335791230201721,
0.43836072087287903,
0.14671547710895538,
-0.6117902398109436,
-0.5064265727996826,
0.3211500644683838,... |
In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'.
E... | None | 3 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | fs_opt | [
-0.4991605579853058,
0.5744712948799133,
-0.2266569435596466,
0.587216854095459,
-0.48846617341041565,
-0.9737926721572876,
1.2924658060073853,
-0.19992879033088684,
0.3826870322227478,
-0.7027469873428345,
-0.890903115272522,
0.6350392699241638,
0.0930885598063469,
0.21515479683876038,
... |
In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Example input: In January 2011 , the... | Not paraphrase | 3 | NIv2 | task400_paws_paraphrase_classification | fs_opt | [
0.22067475318908691,
-0.3169791102409363,
0.040422067046165466,
0.33880895376205444,
-0.2838800549507141,
-0.25536900758743286,
0.7437822222709656,
0.10280617326498032,
0.6489487886428833,
0.3655661344528198,
-0.7414731383323669,
0.5399275422096252,
-0.7279301881790161,
0.43398556113243103... |
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 list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, ... | [17, 4, 4, 7, -11, 5, 10] | 0 | NIv2 | task096_conala_list_index_subtraction | fs_opt | [
0.8679057359695435,
-0.13401098549365997,
-0.9410709142684937,
0.09448361396789551,
0.2147539258003235,
-0.23617705702781677,
1.1978923082351685,
0.6752407550811768,
-0.4779477119445801,
-0.1338653862476349,
-0.7013247013092041,
-0.587958812713623,
-0.051591645926237106,
0.1112311780452728... |
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, 14) ori... | narrative location | 8 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.22119608521461487,
0.3574216663837433,
0.5924997329711914,
-0.11863268166780472,
0.033262163400650024,
0.6098266839981079,
1.0622916221618652,
0.5426208972930908,
0.4322921633720398,
0.4219478666782379,
0.5066359043121338,
0.5699195265769958,
-1.5136401653289795,
0.3733341097831726,
0.... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
One example is below.
Q: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
A: 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
Rationale: The Farsi sentence is correctly tra... | 郊外の豊かな生活を再現するのが無理なら家と呼べる品質をそれぞれのユニットが持っているそんな建物をデザインしようじゃないかと考えました | 9 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
0.2953628897666931,
1.4172306060791016,
-0.35325974225997925,
0.221302792429924,
-0.47551751136779785,
-0.3319287896156311,
1.1190032958984375,
0.28856033086776733,
0.10512136667966843,
-0.3737546503543854,
-1.0260601043701172,
0.5320768356323242,
-0.9065573215484619,
0.2105712592601776,
... |
Q: Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: トラリアンスが新しい.travelドメインを管理し、エンプロイ・メディアが.jobsドメインを管理する。
Khamer: ត្រាឡាយអេនស៍នឹងប្រតិបត្តិ... | Yes | 7 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.8282318711280823,
-0.13776086270809174,
0.24767756462097168,
0.17032462358474731,
-0.1314411759376526,
-0.6331987380981445,
0.2210690975189209,
0.11401712894439697,
-0.29278820753097534,
-0.3487090468406677,
0.2026679813861847,
0.10422930121421814,
-0.3641282618045807,
0.298152178525924... |
Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "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 thou... | yes | 9 | NIv2 | task361_spolin_yesand_prompt_response_classification | fs_opt | [
0.5674473643302917,
0.4403330087661743,
0.3006819486618042,
0.5451117753982544,
0.19032423198223114,
-0.998912513256073,
0.12459821999073029,
0.723157525062561,
0.10196587443351746,
-0.4340134263038635,
-0.5178369283676147,
0.0274311825633049,
-0.3938239812850952,
0.23810434341430664,
0.... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: שנוסחו, אגב, על ידי מצביעי הליגה למען השימור, ניתוח כל השאלות האלה — ודרך אגב, הדיונים כולם מומנו ע "" י גוף ששמו האורווליאני הוא "" פחם נקי "". מישהו שם לב ל... | approntato dalla League of Conservation Voters, a proposito, l'analisi di tutte le domande — e, a proposito, i dibattiti sono stati sponsorizzati dall'etichetta orwelliana "" Carbone pulito "". L'avete notato? | 6 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.18060392141342163,
0.5199284553527832,
-0.5065233707427979,
-0.08654053509235382,
-0.6193036437034607,
-1.4689234495162964,
0.11784032732248306,
0.5171555280685425,
0.007812786847352982,
-0.4453901946544647,
-0.2903047800064087,
0.01915689930319786,
-0.8511723279953003,
-0.5010801553726... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choi... | Output: ab
| 2 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
0.6785975694656372,
0.15900585055351257,
-0.8595172166824341,
0.3872084319591522,
0.2547757625579834,
-0.6361867189407349,
0.5583059191703796,
1.195493221282959,
-0.02356564998626709,
0.32893526554107666,
-0.10939474403858185,
0.05329819396138191,
0.0038776849396526814,
-0.6384469270706177... |
You will be given a definition of a task first, then some input of the task.
The task is to generate the correct answer for a given math problem.
Problem: a grocer purchased a quantity of bananas at 3 pounds for $ 0.50 and sold the entire quantity at 4 pounds for $ 1.00 . how many pounds did the grocer purchase if the... | 132 | 1 | NIv2 | task1726_mathqa_correct_answer_generation | zs_opt | [
0.8209599852561951,
0.3926984667778015,
-0.3608080744743347,
0.2525665760040283,
-0.06326647102832794,
0.35232603549957275,
0.18625140190124512,
0.2410733699798584,
0.03496284782886505,
-0.30664342641830444,
-1.213379144668579,
0.46756237745285034,
-0.5453199148178101,
-0.550782322883606,
... |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v... | Y | 4 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.3054624795913696,
0.5715506076812744,
0.1420072317123413,
-0.7760226726531982,
-0.03147295489907265,
0.37567242980003357,
0.43833404779434204,
0.6477112770080566,
0.14694568514823914,
0.08660273998975754,
-0.44446706771850586,
0.09522487223148346,
-0.626604437828064,
-0.2117102742195129... |
Detailed Instructions: You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Q: The ritual and practice for judaism religion ?
Where is bitola yugoslavia located ?
Is danish a germ... | The ritual and practice for judaism religion ? | 9 | NIv2 | task674_google_wellformed_query_sentence_generation | zs_opt | [
-0.5676606297492981,
0.8789573311805725,
-0.44359368085861206,
-0.48620814085006714,
-0.7188606262207031,
0.5641350746154785,
0.7450218200683594,
-0.14449554681777954,
0.07033391296863556,
-0.3115483224391937,
0.03114907070994377,
0.28479841351509094,
-1.2577500343322754,
0.243934154510498... |
Indicate the presence of numerical data in the abstract (whether numerical data plays a key role in medical records), solely using the information from the abstract.
Ex Input:
Abstract: Guiding surgical therapy of ventricular tachycardia by preoperative endocardial catheter mapping necessitates improvement of the accu... | Yes
| 1 | NIv2 | task621_ohsumed_yes_no_numerical_answer_generation | fs_opt | [
0.0977935642004013,
0.017606234177947044,
-0.8067570924758911,
0.33417022228240967,
0.28815892338752747,
-0.5855644941329956,
0.8414280414581299,
0.8572427034378052,
0.30284827947616577,
0.47545748949050903,
-0.06509909778833389,
0.12330927699804306,
-0.36548924446105957,
0.432873725891113... |
Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Ex Input:
Japanese: また、報道によると、ヒラリー・クリントン、ニューヨーク上院議員は、2008年の米国の大統領選挙戦で、ニューハンプシ... | No
| 1 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.3588796854019165,
0.021947216242551804,
-0.16578969359397888,
0.3714843988418579,
-0.15317615866661072,
-0.5781224966049194,
0.16977450251579285,
0.6990001201629639,
-0.480796217918396,
-0.28308138251304626,
-0.4273519814014435,
0.32967498898506165,
-0.357479989528656,
0.267143964767456... |
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
2005年にルクレールは特別番組に出演し、ユーロビジョンについて記念のコメントをした。 | ในปี 2005 เขาปรากฏตัวในโปรแกรมพิเศษเพื่อรำลึกถึง Eurovision | 0 | NIv2 | task1127_alt_ja_th_translation | zs_opt | [
-0.1286056637763977,
-0.32734259963035583,
-0.10890066623687744,
0.27651068568229675,
-0.2036215364933014,
-0.07064156979322433,
0.6617650389671326,
0.8374298810958862,
-0.3486733138561249,
0.3291376829147339,
-0.38411083817481995,
0.5913676619529724,
-0.7779908180236816,
1.010804891586303... |
Instructions: In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Input: Sentence: 'a wood frame bed with a small mattress and pillow'. Reverse all words of length '3' in the given sentence... | a wood frame deb with a small mattress dna pillow | 3 | NIv2 | task378_reverse_words_of_given_length | zs_opt | [
0.29623162746429443,
0.712043285369873,
-0.3308957517147064,
-1.1958129405975342,
-0.23155581951141357,
-0.41519200801849365,
0.3629518747329712,
0.706255316734314,
-0.12759095430374146,
-0.20500698685646057,
-1.2168089151382446,
0.018458552658557892,
-0.475215345621109,
-0.334805250167846... |
Teacher: In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
Teacher: Now, understand the problem? If you are still confused, see the following example:
SECTION 1. LIABILITY OF BUSINESS ENTITIES PROVIDING USE OF FACILITIES
TO NONPROFIT OR... | Read the Bills Act - Requires any bill or resolution introduced in either chamber of Congress to contain a provision citing the specific powers granted to Congress in the Constitution to enact the proposed measure, including all of its provisions. Requires any measure introduced in either chamber, designed to amend or ... | 2 | NIv2 | task1658_billsum_summarization | fs_opt | [
0.38190269470214844,
0.06557022035121918,
0.03956478834152222,
-0.162588432431221,
0.46476638317108154,
-0.38362056016921997,
0.66278076171875,
1.213388442993164,
-0.43390023708343506,
0.01593303680419922,
-0.3077163100242615,
0.33384066820144653,
0.06212419271469116,
-0.3815288841724396,
... |
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 | 0 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.3567606806755066,
0.5013781785964966,
0.41475483775138855,
-0.20562052726745605,
-0.5903960466384888,
-0.5869742631912231,
1.2790675163269043,
0.6567624807357788,
-0.6428616046905518,
-0.577789306640625,
-0.6511486768722534,
-0.40909284353256226,
-0.7429745197296143,
0.40759676694869995,... |
Q: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given in... | Z, L, R, a, V, X, Y, U, E, L, k, O, D, o, y, K, D, 727, 9401, 9383, 9495, 4833, 5961, 5075, 8051, 2659, 1799 | 7 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.27237701416015625,
1.2537583112716675,
-0.2517452836036682,
-0.287624716758728,
-0.022605039179325104,
-0.18462444841861725,
0.5369301438331604,
0.16136237978935242,
-0.20196008682250977,
0.5874302983283997,
-0.2832077443599701,
0.331807017326355,
0.15943607687950134,
0.1602740585803985... |
Part 1. Definition
In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipient... | ham | 7 | NIv2 | task109_smsspamcollection_spamsmsdetection | fs_opt | [
-0.5772432684898376,
-0.16976694762706757,
0.6158006191253662,
-0.44154971837997437,
0.45668989419937134,
-0.47736290097236633,
-0.02588745206594467,
0.5229518413543701,
-0.4246410131454468,
0.44615450501441956,
-0.7386389970779419,
0.22481268644332886,
-0.26576438546180725,
-0.78491908311... |
Q: 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: Prep... | WP NN VBD DT NN IN DT CD NNP NNP NNP . | 7 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
0.8023195266723633,
0.20933309197425842,
-0.3998151421546936,
-0.21560707688331604,
0.17944248020648956,
-0.9929538369178772,
1.0962094068527222,
0.5302751064300537,
-0.5573723316192627,
0.06298162043094635,
-0.05373073369264603,
0.47684258222579956,
-0.3851673901081085,
0.3111602067947387... |
Instructions: This task is about translating a given French language sentence to English.
Input: Deux fois deux.
Output: | Two times two. | 3 | NIv2 | task1690_qed_amara_translation | zs_opt | [
-0.20509038865566254,
1.1465232372283936,
0.09444357454776764,
-0.05081595107913017,
-0.07401420176029205,
-0.19174537062644958,
0.15643960237503052,
0.5374031066894531,
0.4597180485725403,
-0.20268183946609497,
-0.6270630359649658,
-0.10934662073850632,
-0.39690962433815,
-0.4132416248321... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Input: Consider Input: وإذا كان هناك تعدي أساسي على كرامتنا البشرية بامكاننا كلنا القول أنه مروع فهو العبودية.
Output: E se c'è una violazione fondamentale della dignità umana che tutti quanti non esitiamo a definire orribi... | Output: E se vogliamo evitare "" la sindrome successo-fallimento "" Dobbiamo seguire questi otto principi. Perchè questo non è solo come si raggiunge il successo, è come lo manteniamo.
| 2 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.04525822401046753,
0.5354745388031006,
-0.21230703592300415,
-0.4578374922275543,
-0.661981999874115,
0.1457202434539795,
0.6069806814193726,
0.2929287254810333,
-0.2548912465572357,
-0.17974407970905304,
-0.9989045858383179,
-0.07760703563690186,
-0.13339701294898987,
0.050392035394907... |
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.
Q: ['1077', '2475', 'Z', 'T', '7127', 'T', '189', '1535', '1471', '9053', 'e', 'q', '3787', 'E', '772... | 1077, 2475, 26, 20, 7127, 20, 189, 1535, 1471, 9053, 5, 17, 3787, 5, 7723, 26, 18, 225, 7101, 3355, 4, 26, 9929, 26, 5673, 9, 26, 21, 20, 9993, 6875, 2277, 8457, 26, 24, 8071 | 4 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
-0.20933867990970612,
0.5322056412696838,
0.3488140404224396,
-0.04099994897842407,
0.312065452337265,
-1.017758846282959,
0.3871144652366638,
-0.4876585602760315,
-0.3926057815551758,
0.14249977469444275,
0.025124503299593925,
-0.030680043622851372,
-0.1291676014661789,
-0.228284105658531... |
Teacher: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) ... | Is igG4-subclass of glutamic acid decarboxylase antibody more frequent in latent autoimmune diabetes in adults than in type 1 diabetes? | 2 | NIv2 | task847_pubmedqa_question_generation | fs_opt | [
0.2837923765182495,
0.2345309853553772,
-0.1591508388519287,
-0.6562673449516296,
0.7093658447265625,
-0.38298922777175903,
0.40501222014427185,
0.7723302841186523,
-0.19048966467380524,
-0.005919985938817263,
-0.49264270067214966,
-0.019455531612038612,
-0.90758216381073,
0.36108607053756... |
TASK DEFINITION: In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
PROBLEM: love you smilingcatfacewithhearteyessmilingcatfacewithhearteyessmilingcatfacewithhearteyes meow winkingfacewinkingface love you smi... | happy
| 8 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-0.24475766718387604,
0.35874539613723755,
0.66694176197052,
-0.5131394863128662,
0.30268335342407227,
-0.45543643832206726,
0.24877238273620605,
0.4370259642601013,
0.39357221126556396,
-0.18180742859840393,
0.07509075105190277,
-0.4956110417842865,
-0.4417588710784912,
0.0257579609751701... |
Detailed Instructions: In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Q: Passage: Colorado River (Texas) -- The Colorado River originates south of Lubbock, on the Llano ... | 0 | 9 | NIv2 | task1661_super_glue_classification | zs_opt | [
0.27630454301834106,
0.000533717917278409,
-0.8384793996810913,
-0.40231239795684814,
-0.04478311538696289,
-0.38409119844436646,
0.09631060063838959,
1.0682181119918823,
-0.6733441948890686,
-0.44487839937210083,
0.332407146692276,
-0.7025923728942871,
-0.5411162376403809,
-0.377383947372... |
Part 1. Definition
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 ser... | run around right after walk opposite right | 7 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.42100149393081665,
0.5996571183204651,
-0.38658127188682556,
0.09175711870193481,
-0.07579757273197174,
0.2712295651435852,
0.3397704064846039,
0.6355065107345581,
-0.11595728248357773,
-0.21642956137657166,
-1.1125965118408203,
-0.3515218198299408,
-0.773423433303833,
-0.101123191416263... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: Não entrem em pânico agora. Eu ajudo-vos com isto.
Student: | لاتفزعوا الان.. لا تفزعوا.. سوف اساعدكم في فهم هذه المعلومات | 6 | NIv2 | task1277_ted_translation_pt_ar | zs_opt | [
-0.12043885141611099,
0.39790719747543335,
0.04720161110162735,
-0.9555643200874329,
-0.3290533423423767,
-0.3348526358604431,
0.9224362969398499,
0.5397335290908813,
0.8695288896560669,
-0.10209855437278748,
-0.46335119009017944,
-0.10631007701158524,
-0.5676180124282837,
-0.6731665730476... |
Instructions: 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... | 5, 13, 15. | 3 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.4811077117919922,
0.791483998298645,
-0.6572009921073914,
0.10674497485160828,
-0.5534108877182007,
-0.7021393775939941,
0.5966096520423889,
0.6360350847244263,
0.13552051782608032,
-0.12193062156438828,
-0.21946005523204803,
0.5954266786575317,
-0.645654559135437,
0.14985859394073486,
... |
Definition: In this task, you are given a sentence in Polish language and its corresponding English translation. Here, your job is to output label "yes" if the translation is correct, otherwise output "no".
Input: Polish: Nie ma ani seksizmu, rasizmu, ani dyskryminacji gatunków.
English: But I just want you to have k... | no | 2 | NIv2 | task832_poleval2019_mt_classification | zs_opt | [
-1.2267444133758545,
0.06211280822753906,
0.4539406895637512,
0.24517539143562317,
-0.2063336819410324,
-0.5855813026428223,
0.6354659795761108,
-0.3809623122215271,
0.3621085286140442,
-0.3049556314945221,
-0.164273202419281,
0.4408368468284607,
-0.70801842212677,
0.20990411937236786,
1... |
Definition: An answer is given. Generate a question for which the given answer is either a direct or partial answer.
Input: Answer: brandon boyd
Output: | who are brandon boyd's siblings? | 2 | NIv2 | task443_com_qa_ans_question_generation | zs_opt | [
-0.23014457523822784,
0.8007082343101501,
-0.23324953019618988,
-0.9452165365219116,
0.14251255989074707,
-1.3257173299789429,
0.497611939907074,
-1.184293270111084,
0.5284751653671265,
-0.3267596364021301,
-0.12926122546195984,
0.9973388910293579,
-1.3585200309753418,
-0.11409345269203186... |
Q: In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in... | Yes | 7 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.3517506718635559,
0.5127468109130859,
0.9744131565093994,
-0.017672007903456688,
0.4629611372947693,
-0.91424560546875,
0.16374459862709045,
0.7172415256500244,
-1.0576491355895996,
0.003994598984718323,
-0.10352946072816849,
-0.22234097123146057,
-0.6857674717903137,
-0.033816352486610... |
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... | Solution: None of Danny's friends were going. | 5 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.23888440430164337,
0.36749914288520813,
-0.31855058670043945,
0.1845284402370453,
-0.18644046783447266,
-0.19348284602165222,
0.3354797065258026,
0.5220186710357666,
-0.14995422959327698,
-0.4032672047615051,
-0.5431498885154724,
0.4588797092437744,
-0.7332332730293274,
-0.45393666625022... |
instruction:
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.
question:
Category: MONARCHIES
Clue: 1 of the 2 largely German-speaking monarchie... | the interpretation of dreams
| 9 | NIv2 | task307_jeopardy_answer_generation_final | fs_opt | [
-0.5944424867630005,
1.154707431793213,
0.06219211220741272,
-0.6772865056991577,
-0.25190556049346924,
0.35469114780426025,
0.5674480199813843,
-0.07769157737493515,
0.657805860042572,
-0.11011415719985962,
-0.4483150243759155,
0.04960419237613678,
-0.9690957069396973,
0.17295785248279572... |
In this task your given a passage in Catalan. you must ask a question in Catalan, that is relevant to the passage. A question that is constructed should be precise and based on factual information from the passage. A constructed question should be: (a) unambiguous (b) be directly answerable from the passage (c) have a ... | Què va portar la restauració de l'armadura? | 3 | NIv2 | task836_viquiquad_question_generation | fs_opt | [
0.5718703269958496,
1.3618555068969727,
-0.43003273010253906,
0.29477250576019287,
0.005022386554628611,
-0.15130214393138885,
0.9611046314239502,
0.5842600464820862,
-0.5109286308288574,
0.38598114252090454,
-0.6846219897270203,
0.156366229057312,
-0.6592531800270081,
0.2455916404724121,
... |
Detailed Instructions: In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comm... | [71.5, 23.5, 27.0, 0.5, -26.0, 18.0, -50.0, -90.0, -75.5] | 9 | NIv2 | task124_conala_pair_averages | zs_opt | [
-0.8802474737167358,
0.00009087426587939262,
-0.7580164670944214,
-0.6571719646453857,
0.06968662887811661,
0.5632544159889221,
0.5281093120574951,
0.3125433921813965,
-0.0616363100707531,
-0.24192780256271362,
-0.4868006706237793,
-0.270193874835968,
-0.02694907784461975,
0.32588744163513... |
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Q: Sentence1: Jay and Bella loved fish tanks. Sentence2: They had everything they needed for a new tank exce... | They bought some fish. | 4 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.5465542078018188,
0.7494711875915527,
-0.6665748357772827,
-0.46901237964630127,
0.09745758771896362,
-1.0465648174285889,
0.3491934537887573,
0.11823679506778717,
-0.15967917442321777,
0.2859669327735901,
-0.13352976739406586,
0.2680187225341797,
-0.5271152257919312,
0.3115343451499939... |
Teacher:Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
Teacher: Now, understand the problem? Solve this instance: A named third party... | Generic personal information | 6 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-0.4440823197364807,
0.4249539375305176,
-0.3352203369140625,
-0.5670228004455566,
-0.7707676887512207,
-1.4263651371002197,
0.3995751142501831,
0.6908631920814514,
-0.008092023432254791,
0.7075464725494385,
0.7155198454856873,
-0.23189187049865723,
-0.37859588861465454,
-1.038002729415893... |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Input: Consider Input: P... | Output: Awesome we should go sometime. Do you like video games?
| 2 | NIv2 | task1729_personachat_generate_next | fs_opt | [
-0.39492565393447876,
-0.0010508055565878749,
-0.9122257232666016,
0.45642632246017456,
-0.3419451415538788,
0.31120261549949646,
0.6601583957672119,
0.5941672325134277,
-0.33119499683380127,
0.03939468041062355,
-0.731296181678772,
-0.024936359375715256,
-0.03442583233118057,
-0.237514108... |
In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that... | False
****
| 4 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
0.5294888019561768,
0.036930423229932785,
-0.4939403235912323,
-0.5132851600646973,
-0.6205440759658813,
-0.6368770599365234,
0.9985735416412354,
0.02030685916543007,
0.20756477117538452,
0.13359452784061432,
0.006616310216486454,
-0.13896821439266205,
-0.6382903456687927,
0.01789004728198... |
instruction:
The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced... | vegetablse.
| 9 | NIv2 | task088_identify_typo_verification | fs_opt | [
-0.5378552675247192,
0.44339174032211304,
0.4191117286682129,
0.22297021746635437,
-0.33690980076789856,
-0.9684764742851257,
1.199084758758545,
-0.2091570794582367,
0.2938941717147827,
0.1666504442691803,
0.3254549205303192,
-0.6742764115333557,
-0.8187406063079834,
0.2643705904483795,
... |
Teacher:In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Teacher: Now, understand the problem? Solve this ins... | True | 6 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.6939996480941772,
-0.12375602126121521,
0.24091887474060059,
-0.30691301822662354,
-0.0699627697467804,
-0.6317914724349976,
0.6427757143974304,
0.9582326412200928,
-0.7679019570350647,
0.17584845423698425,
-0.44441136717796326,
-0.14168483018875122,
-0.7031663060188293,
-0.009260468184... |
Instructions: Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Input: The tilt allows certain latitudes of earth to be heated at a greater rate while earth rotates does the tilt of earth’s axis and its rotation affect the weather.
Output: | How does the tilt of Earth’s axis and its rotation affect the weather? | 3 | NIv2 | task1552_scitail_question_generation | zs_opt | [
-0.09138420224189758,
1.00582754611969,
-0.42136150598526,
0.7618626952171326,
-1.123978853225708,
-1.0225168466567993,
0.12526610493659973,
-0.38024118542671204,
-0.5400961637496948,
-0.7977277636528015,
-0.8037201762199402,
0.1634814739227295,
-1.1585609912872314,
-0.005953132640570402,
... |
You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Ex Input:
Statement: <MASK> 'ਚ ਅ਼ਰਬੀ ਭਾਸ਼ਾ ਦੇ ਨਿਊਜ਼ ਨੈਟਵਰਕ 'ਅ਼ਲ ਜਜ਼ੀਰਾ' ਨੇ 2004 ਦੇ ਓਸਾਮਾ ਬਿਨ ਲਾਦੇਨ ਦੀ ਵੀਡੀਓ ਵਿਚ ਇ... | ਆਈਪੀਐਲ
| 1 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.44788408279418945,
0.5828633904457092,
-0.7806478142738342,
0.37181025743484497,
0.018945541232824326,
-0.021817529574036598,
0.812781572341919,
0.24097737669944763,
-0.02797079272568226,
0.6823698282241821,
-0.4619191884994507,
0.26835110783576965,
-0.6459811925888062,
-0.68534517288208... |
Detailed Instructions: You are given a statement written in Kannada. 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 .
See one example below:
Problem: Statement: ಕೆಂಪು ಸಮುದ್ರವು ಹಿಂದೂ ಮಹಾಸಾಗರದ ಕಡಲಾಚೆಯ <MASK> ಮತ... | ಡಮಾಸ್ಕಸ್ | 4 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.7074370384216309,
0.41780534386634827,
-0.6951659917831421,
-1.0543487071990967,
-0.5350759029388428,
-0.634031355381012,
0.18865084648132324,
0.4371609687805176,
-0.39245742559432983,
0.06732024252414703,
0.18390564620494843,
-0.3393436074256897,
-0.07521654665470123,
0.1132965460419654... |
Given the task definition and input, reply with output. Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
Adam Brotman a longtime Starbucks executive who help... | J.Crew hires innovative Starbucks executive | 5 | NIv2 | task418_persent_title_generation | zs_opt | [
-0.08633590489625931,
0.07283295691013336,
-0.4584185481071472,
-0.8414373993873596,
0.061300307512283325,
0.18231543898582458,
-0.42454007267951965,
0.09024356305599213,
-0.03785732015967369,
0.48611193895339966,
0.3227958083152771,
0.8580713272094727,
-0.19476982951164246,
0.176101237535... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating... | a | 1 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.21189503371715546,
0.35701847076416016,
-0.3567841649055481,
0.40229636430740356,
0.19149698317050934,
0.1768241822719574,
0.1322629153728485,
1.0001461505889893,
0.36664170026779175,
0.1373709738254547,
-0.7411272525787354,
-0.009509148076176643,
0.3657956123352051,
-0.11769044399261475... |
Q: 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.
Text: Na twee jaar lesgeven Mersenne werd verkozen tot chef van de Place Royale klooster in Parijs, waar hij bleef, behalve voor korte ritten, tot aan zijn dood in 1648.
... | Dutch | 7 | NIv2 | task447_opus_paracrawl_classification | zs_opt | [
0.5581233501434326,
0.3865329921245575,
0.6254177689552307,
-0.6014614701271057,
0.6439021229743958,
-0.6128488779067993,
-0.4947736859321594,
-0.21466109156608582,
0.15732638537883759,
0.13930892944335938,
0.716711699962616,
0.11054138839244843,
-0.39315474033355713,
0.331966370344162,
... |
You will be given a definition of a task first, then some input of the task.
The task is about reading the given context, group and MCQs and then generating answers from the given input. MCQs are multiple choice questions in which a question is asked and few options are given, among which one or in some cases more than... | The circle around the mountain takes the most amount of paint. | 1 | NIv2 | task861_prost_mcq_answers_generation | zs_opt | [
-0.1385854184627533,
0.3262314200401306,
-0.41727200150489807,
-0.0004845892544835806,
0.002338419435545802,
-0.1472778022289276,
0.9041994214057922,
-0.2622039318084717,
0.3305840790271759,
-0.030194073915481567,
-0.4369902014732361,
-0.5026323795318604,
-0.15381717681884766,
0.0961002930... |
Teacher:Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'.
Teacher: Now, understand the problem? Solve this instance: The company is in charge of all natural gas storage activities in France , Great Britain , and Germany... | neutral | 6 | NIv2 | task843_financial_phrasebank_classification | zs_opt | [
-0.25287848711013794,
-0.01001550443470478,
0.2784198224544525,
-1.0940545797348022,
-0.22420354187488556,
-0.08451500535011292,
-0.252346932888031,
0.3425484299659729,
0.02443053387105465,
0.40057265758514404,
0.17660504579544067,
-0.16873210668563843,
0.042895346879959106,
-1.17217397689... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
M: Where do you want to go, ... | (A) It is warm. | 1 | NIv2 | task247_dream_answer_generation | zs_opt | [
0.5031006932258606,
-0.034483861178159714,
-0.7599755525588989,
0.39508166909217834,
0.2781027853488922,
-1.39539635181427,
-0.011947635561227798,
0.18233603239059448,
-0.1743723750114441,
0.05793949216604233,
-0.10929140448570251,
0.030256329104304314,
-0.30417776107788086,
-0.64622062444... |
Detailed Instructions: This task is about translating a given French language sentence to English.
Q: 11 par équipe, 22 au total.
A: | 11 par équipe, 22 au total. | 9 | NIv2 | task1690_qed_amara_translation | zs_opt | [
-0.10478256642818451,
1.1954381465911865,
0.053397923707962036,
-0.7966016530990601,
0.04250148683786392,
-1.230576753616333,
0.5353748202323914,
-0.5206072330474854,
0.1958434283733368,
-0.6103070974349976,
-0.30059191584587097,
-0.08704088628292084,
-0.6824260950088501,
-0.05756238475441... |
Definition: A text is given in English. Translate it from the English language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਸ਼੍ਰੀ ਨਰੇਂਦਰ ਮੋਦੀ ਨੇ ਭਗਤ ਸਿੰਘ ,ਰਾਜਗੁਰੂ ਅਤੇ ਸੁਖਦੇਵ ਨੂੰ ਉਨ੍ਹਾਂ ਦੇ ਸ਼ਹੀਦੀ ਦਿਵਸ ‘ਤੇ ਸ਼ਰਧਾਂਜਲੀਆਂ ਦਿੱਤੀਆਂ ਹਨ ।
Output: | Remembering Bhagat Singh, Rajguru and Sukhdev on the day of their martyrdom. | 2 | NIv2 | task1008_pib_translation_punjabi_english | zs_opt | [
-0.6297222375869751,
-0.1098165437579155,
0.3238369822502136,
0.007693678140640259,
-0.31990450620651245,
-0.5126115679740906,
1.075359582901001,
0.32192209362983704,
0.06198412552475929,
0.2582072615623474,
-0.374497652053833,
-0.4417719841003418,
0.0539628267288208,
0.4309275150299072,
... |
Given the task definition and input, reply with output. 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 passag... | Stereotype | 5 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
-0.18960607051849365,
0.4281322956085205,
-0.049568843096494675,
0.17303577065467834,
-0.2971882224082947,
0.2556644678115845,
0.6050820350646973,
1.2118771076202393,
0.3809298574924469,
-0.37454065680503845,
-0.625603437423706,
0.07266771793365479,
-0.7201797962188721,
-0.1921897828578949... |
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Teacher: Now, understand the problem? Solve this instance: Cuatro días antes de mi accidentada liberación, decapitaron a cuatro rehenes a pocos km de donde yo estaba en cautiverio.
Student: | Four days before my eventful release, four hostages were beheaded a few miles away from where I was kept in captivity. | 6 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.055354900658130646,
1.0458362102508545,
0.25027626752853394,
-0.9930509328842163,
-0.09006082266569138,
-0.7780733108520508,
0.019534707069396973,
1.1692060232162476,
0.2048082947731018,
-0.3788658380508423,
0.10397255420684814,
-0.252882719039917,
-0.23626700043678284,
-0.6585557460784... |
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... | No
| 5 | NIv2 | task1205_atomic_classification_isafter | fs_opt | [
0.13760381937026978,
0.5072468519210815,
0.2782307267189026,
-0.4638180732727051,
-0.6118431687355042,
-0.7803252339363098,
0.9466612339019775,
0.6615067720413208,
-0.37323930859565735,
-0.32339829206466675,
-0.6415392756462097,
-0.342121422290802,
-0.7000353336334229,
-0.01302131172269582... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
One example: Person1: Are you ready to order , sir ?
Person2: Yes... | 1 | 6 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.040784046053886414,
-0.3412019610404968,
-0.02707887627184391,
-0.4832382798194885,
0.1536140739917755,
-0.16908061504364014,
0.5319622755050659,
-0.11946502327919006,
0.3531297743320465,
0.009972427040338516,
0.43913862109184265,
-0.29571008682250977,
-0.12146515399217606,
0.23389326035... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
ואני אומר לטוני, "בוא נעשה את זה!"
A: | E dígolle a Tony: "" Fagámolo "". | 7 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-0.08354683220386505,
1.2782536745071411,
0.2355063408613205,
-0.34195104241371155,
-0.056113846600055695,
-0.511259138584137,
0.47640764713287354,
0.16680558025836945,
0.4280944764614105,
-0.17545434832572937,
-0.029799435287714005,
0.9097598195075989,
-0.6189000606536865,
0.4122581481933... |
Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur before t2, t1... | False | 4 | NIv2 | task1507_boolean_temporal_reasoning | zs_opt | [
0.04375689476728439,
0.0667668879032135,
-0.7757705450057983,
0.12966442108154297,
-0.5166754126548767,
-1.1563409566879272,
0.10350821912288666,
0.582865297794342,
-0.6724777221679688,
0.06757909804582596,
-0.3595590591430664,
-0.1365264356136322,
-0.021831706166267395,
-0.321230292320251... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole... | [67, 79] | 1 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.002938101766631007,
0.9102771282196045,
-0.20931696891784668,
-0.2935318946838379,
0.19475692510604858,
-0.3760491609573364,
0.6550596356391907,
0.7776548862457275,
0.3205939531326294,
0.10236769914627075,
-0.1537168323993683,
-0.015558453276753426,
0.29247674345970154,
-0.0449926070868... |
You will be given a definition of a task first, then some input of the task.
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'a couple of giraffe standing next to each other', Sentence2: 'closeup of a layered cake with yellow frosting'. Is the f... | Yes | 1 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.46347928047180176,
0.42191994190216064,
0.4633961319923401,
-0.16689369082450867,
0.21539521217346191,
0.007558827288448811,
0.46397802233695984,
0.5775824785232544,
-0.22500652074813843,
-0.25411540269851685,
-0.39881446957588196,
-0.5061876773834229,
-0.21359896659851074,
0.4623479545... |
Teacher: In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Teacher: Now, understand the problem? If you are still confused, see the following example:
PPdQTlHHTJEe, DydQTlHHVnmlLu
Solution: dQTlHH
Reason: Here, 'dQTlHH' is the longest common substring in both the in... | mRbrTO | 2 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
0.07579191029071808,
0.7736380100250244,
-0.36876165866851807,
-0.7709819078445435,
-0.47137323021888733,
-0.8279387354850769,
0.46980780363082886,
-0.11264683306217194,
0.28676366806030273,
-0.2122378945350647,
-0.412833571434021,
-0.598832368850708,
-0.1594054400920868,
0.333771049976348... |
Given the task definition and input, reply with output. In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Context: The Palomar Planet-Crossing Aste... | organization | 5 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.01784238964319229,
0.4955873191356659,
-0.9221459627151489,
-0.08137154579162598,
0.6791204214096069,
-0.2547757625579834,
0.6895467042922974,
0.7161976099014282,
-0.1847057044506073,
0.42009538412094116,
-0.5344919562339783,
0.003899309318512678,
-0.31641536951065063,
0.3126379847526550... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
See one example below:
Problem: אחרי הכל, הם החליטו, והם עשו,
Solution: Afinal de contas elas é que decidem, e decidiram mesmo.
Explanation: The Hebrew sentence is correctly translated into Portugese,... | Pensámos: "" Porque não? Vamos a isso. "" | 4 | NIv2 | task1114_ted_translation_he_pt | fs_opt | [
0.4024474620819092,
0.9604279398918152,
0.5619027614593506,
0.03306928277015686,
-0.5304275751113892,
-0.5634881854057312,
0.6765997409820557,
0.5758421421051025,
0.7457651495933533,
0.17508067190647125,
-0.4230874478816986,
0.5998374223709106,
-0.6146901845932007,
-0.21406501531600952,
... |
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.
One example: [1,3,5]
Solution is here: 3.000
Exp... | 51.762 | 6 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.14051751792430878,
-0.025357365608215332,
-1.3177263736724854,
-1.2097506523132324,
0.22701424360275269,
0.023581579327583313,
0.9400047063827515,
0.300273060798645,
0.01557178795337677,
-0.06330208480358124,
-1.2817596197128296,
0.5328222513198853,
-0.5101847648620605,
-0.0139211621135... |
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... | PEOPLE
| 3 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
0.4558386206626892,
0.4370560050010681,
-0.22656182944774628,
0.3080396056175232,
0.3470105826854706,
-0.568350076675415,
1.2593575716018677,
0.9081403017044067,
-0.16165220737457275,
0.043071337044239044,
-0.40480533242225647,
0.5357438325881958,
-0.622053861618042,
-0.17399077117443085,
... |
Detailed Instructions: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update pro... | strengthener | 9 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.23817241191864014,
0.5420097708702087,
-0.1951972395181656,
-0.23638536036014557,
0.07033031433820724,
-0.8870863318443298,
1.7108663320541382,
0.7529594302177429,
0.5528583526611328,
-0.7261723279953003,
-0.7869631052017212,
-0.4627411365509033,
-0.7528864741325378,
0.30893972516059875,... |
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 it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to... | Greg joins the team >Causes/Enables> Greg jumps rope
| 1 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
0.7310000658035278,
0.019123129546642303,
-0.5134880542755127,
-0.2980627119541168,
-0.2840139865875244,
-1.3341583013534546,
0.15359602868556976,
0.567511796951294,
-0.4755755662918091,
-0.14999622106552124,
-0.5903621912002563,
0.46173280477523804,
-0.6835494041442871,
-0.092301033437252... |
Teacher: In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Teacher: Now, understand the problem? If you are still confused, see the fo... | Yes | 2 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.010309506207704544,
-0.35195279121398926,
0.19319865107536316,
0.4076405167579651,
0.4105488359928131,
-0.5590623617172241,
0.24783778190612793,
0.32695087790489197,
-0.6839934587478638,
-0.3647482395172119,
0.3916536569595337,
0.6674625873565674,
-0.23353931307792664,
0.366145610809326... |
Part 1. Definition
A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
Part 2. Example
ਸਾਡੇ ਇੱਕ ਪੁਰਾਤਨ ਗਰੰਥ ਅਥਰਵਵੇਦ ਵਿੱਚ ਕਿਹਾ ਗਿਆ ਹੈ
Answer: எமது பண்டைய கிரந்தணிப்பு
Explanation: Correct translation for give... | முதலமைச்சர்கள் மற்றும் இதர பிரதிநிதிகளை வரவேற்ற பிரதமர், இந்த நிர்வாகக் குழு, வரலாற்றுச் சிறப்புமிக்க மாற்றத்திற்கான மேடையாக திகழ்கிறது என உறுதிபடத் தெரிவித்தார். | 7 | NIv2 | task1015_pib_translation_punjabi_tamil | fs_opt | [
-0.3808126449584961,
1.1103405952453613,
0.36708831787109375,
-0.4429456889629364,
-0.09789174050092697,
-0.9177724123001099,
0.6618565320968628,
0.35898739099502563,
-0.09627650678157806,
0.2663578987121582,
-0.541612982749939,
-0.10470345616340637,
-0.5241161584854126,
0.0004260959103703... |
Detailed Instructions: This task is about translating a given Yoruba language sentence to English.
Q: Ẹní gúnyán kalẹ̀ yóò júbà ọbẹ̀.
A: | A person who has made pounded yams must pay homage to the stew. | 9 | NIv2 | task1686_menyo20k_translation | zs_opt | [
-0.06650818884372711,
1.2698359489440918,
-0.3391062021255493,
-0.7626898288726807,
-0.42588740587234497,
-0.7018997073173523,
-0.19541344046592712,
0.2676982283592224,
-0.0407862514257431,
-0.30341294407844543,
0.021388035267591476,
0.2926652133464813,
-0.9957775473594666,
0.5366778373718... |
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... | No | 8 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.5708083510398865,
0.25414103269577026,
0.11195117980241776,
0.09842219948768616,
-0.23719537258148193,
-0.6690278053283691,
0.9971835613250732,
0.6047137975692749,
-0.5987086296081543,
-0.0626273974776268,
-0.2991795539855957,
-0.13350792229175568,
-0.8039749264717102,
-0.057047627866268... |
Detailed Instructions: Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Q: Category: emotional status
Words: fret, neck, anxious, emotional supports, emotionalities
A: | neck | 9 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
0.5790139436721802,
-0.048965875059366226,
0.4368462562561035,
0.011825155466794968,
0.15048329532146454,
-0.48144790530204773,
0.6898216009140015,
0.6801403164863586,
0.7131345272064209,
-0.3140488564968109,
-0.5278822183609009,
-0.3489841818809509,
-0.7244375348091125,
-0.047647744417190... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Example input: Person1: Are you ready to order , sir ?
Person2: ... | 0 | 3 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
-0.19707608222961426,
0.06636519730091095,
0.1295238882303238,
-0.26991307735443115,
0.18143190443515778,
-0.2703550457954407,
0.5816148519515991,
0.030264079570770264,
0.27439725399017334,
-0.09784958511590958,
-0.003766386304050684,
-0.49776938557624817,
-0.35800445079803467,
-0.04233888... |
In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Input: Consider Input: Context: lee was a selfish business owner so he... | Output: Yes
| 2 | NIv2 | task579_socialiqa_classification | fs_opt | [
-0.6891587376594543,
0.5192419290542603,
0.5052051544189453,
-0.30644726753234863,
0.06696305423974991,
0.00742027722299099,
0.5664478540420532,
0.920433521270752,
-0.1025703027844429,
0.29122304916381836,
-0.1285938173532486,
0.2176199108362198,
-0.44711926579475403,
-0.5186558961868286,
... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Input: 事実私たちは嫉妬の虜になるほど架空の世界の住人になってしまうのです
Output: | Zazdrość sprawia, że częściej korzystamy z wyobraźni. | 2 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
0.013652955181896687,
1.2577273845672607,
0.12209425866603851,
-0.5833296179771423,
-0.42060935497283936,
-1.3992512226104736,
0.30524641275405884,
-0.6890219449996948,
0.4567679762840271,
0.018186235800385475,
-0.4714544713497162,
0.22200936079025269,
-0.8704270124435425,
0.13219535350799... |
Given the task definition, example input & output, solve the new input case.
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 co... | point in time | 1 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.14204013347625732,
0.18377697467803955,
-0.40213918685913086,
-0.06695825606584549,
0.8170298933982849,
-0.17637330293655396,
0.10174475610256195,
0.8233804702758789,
0.16872286796569824,
0.33354008197784424,
0.6067386269569397,
0.2277325540781021,
-0.4535377025604248,
-0.104048907756805... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Example: i don't work i could take your shift i am a student
Output: other
In t... | happy | 1 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-0.8077822923660278,
0.49442926049232483,
0.3330285847187042,
-0.4956212043762207,
0.1578516662120819,
0.20455825328826904,
0.3077915608882904,
0.686989426612854,
0.7213356494903564,
-0.021341033279895782,
0.12587465345859528,
-0.6721760630607605,
-0.0968143492937088,
-0.12291310727596283,... |
Q: Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of i... | 你会在飞机上省下,因为你带来旅行。 | 7 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.39665019512176514,
0.11948707699775696,
-0.11118974536657333,
-1.201503038406372,
0.14934957027435303,
-0.1882924735546112,
-0.20415501296520233,
0.5760319232940674,
-0.5867387056350708,
0.010111088864505291,
-0.5427707433700562,
0.47008588910102844,
0.0706525668501854,
-0.2176841795444... |
In this task, you need to reverse the order of words in the given sentence.
Q: Sentence: a male in a blue shirt is holding some carrot tops and bananas
A: | bananas and tops carrot some holding is shirt blue a in male a | 4 | NIv2 | task376_reverse_order_of_words | zs_opt | [
0.9352830052375793,
0.7516661286354065,
-0.11509958654642105,
-0.11286608129739761,
-0.15482182800769806,
0.27029481530189514,
0.47730275988578796,
0.39519602060317993,
-0.7474537491798401,
-0.2207375168800354,
-0.8040546774864197,
0.19111979007720947,
-0.5854573845863342,
-0.0472970157861... |
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
| 0 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
0.5855368971824646,
0.34581872820854187,
0.29656532406806946,
-0.05447488650679588,
-0.5253109931945801,
-0.6894896030426025,
1.3863170146942139,
0.6618645191192627,
-0.4191698431968689,
-0.38242441415786743,
-0.7633298635482788,
-0.374383807182312,
-0.9268081188201904,
0.06686818599700928... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
海洋の温暖化同様海洋の酸性化も大きな懸念事項ですこれによる影響が珊瑚礁でも見られることでしょう | Dużym zmartwieniem jest zakwaszenie oceanów i ocieplenie wód, które mogą wpływać na rafy koralowe. | 0 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
-0.445162832736969,
0.16123360395431519,
-1.0823546648025513,
-0.6502901911735535,
-0.7038143873214722,
-0.8494387865066528,
0.3195610046386719,
0.1741006225347519,
-0.460566908121109,
-0.6777112483978271,
0.21769696474075317,
0.13849277794361115,
-0.9333291053771973,
-0.21321356296539307,... |
Instructions: You are given an elementary science question along with a few answer options. List all the words from the question that are essential and sufficient for choosing the correct answer option. Keep in mind that essential words are necessary to understand the meaning of the given question. However, non-essenti... | aloe, water, rain, shower., extra, water, leaves., store, water, adaptation, environment? | 3 | NIv2 | task044_essential_terms_identifying_essential_words | zs_opt | [
0.5314026474952698,
0.8824352622032166,
-0.8210828900337219,
-0.21480703353881836,
-0.6718891859054565,
-1.6738781929016113,
0.41498494148254395,
0.4989519715309143,
-0.09746618568897247,
0.0433930829167366,
-0.5101631879806519,
-0.36303573846817017,
-0.5907604694366455,
0.1797532886266708... |
In this task, you need to indicate the presence of temporal reasoning in the provided question. Questions that involve temporal reasoning/understanding contain one of the following five temporal phenomena: First: "event duration", is defined as the understanding of how long events last (e.g.,"brushing teeth" usually ta... | Solution: Yes. | 5 | NIv2 | task018_mctaco_temporal_reasoning_presence | fs_opt | [
0.3434980511665344,
0.20244093239307404,
-0.3612265884876251,
0.3209229111671448,
-0.5912750363349915,
-0.5573348999023438,
0.45175057649612427,
0.5973465442657471,
-0.11812134087085724,
-0.12386876344680786,
-0.11280027031898499,
0.07252304255962372,
-0.3133886158466339,
0.338425248861312... |
Definition: Given a hotel review and the corresponding polarity of review (i.e., Negative or Positive) identify if the polarity is correct. Write 'true' if it's correct, 'false' otherwise.
Input: Review: As a regular visitor to Chicago and a freuent guest at the Ambassador East, I was exceptionally disappointed during ... | false | 2 | NIv2 | task903_deceptive_opinion_spam_classification | zs_opt | [
-0.3292422294616699,
-0.40955305099487305,
-0.7278006076812744,
-0.06441576033830643,
0.15637342631816864,
-0.9799017906188965,
0.8076639771461487,
0.12886394560337067,
0.8073181509971619,
-0.03859191760420799,
0.05650297552347183,
0.47305434942245483,
-0.6914907693862915,
0.24590358138084... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Input: Consider Input: Beg... | Output: 1
| 2 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.43600019812583923,
0.5739850401878357,
-0.30318254232406616,
0.017765695229172707,
-0.12095942348241806,
-0.37948164343833923,
0.051582977175712585,
0.8600142002105713,
-0.39079082012176514,
-0.03074021264910698,
-0.776301920413971,
0.5695289373397827,
-1.0286331176757812,
-0.5387935042... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 多くの住人は、気温が通常高... | No | 1 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.5417588949203491,
-0.4410383701324463,
-0.23367494344711304,
0.0834561437368393,
0.03125246614217758,
-0.9238296747207642,
0.5863237380981445,
0.6831209063529968,
-0.17325252294540405,
-0.32983261346817017,
-0.0516715943813324,
0.15693064033985138,
-0.8715518712997437,
0.268612653017044... |
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
Example: هم حسی (synesthesia) فرایندی عصبشناختی است که در آن، تحریک یک گذرگاه حسی یا شناختی به تجربهای خود به خود و بیاختیار در یک گذرگاه حسی یا شناختیِ دیگر می... | Solution: بهترین گلزن فرانسوی | 5 | NIv2 | task395_persianqa_answer_generation | fs_opt | [
0.8348304033279419,
0.16813811659812927,
-0.3422737121582031,
0.41726595163345337,
0.17191460728645325,
0.46490800380706787,
0.742636501789093,
0.6965460777282715,
0.7277852296829224,
0.09578268229961395,
-0.6714345216751099,
0.9940674304962158,
-0.1957787573337555,
0.03417925164103508,
... |
In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
One example: Premise: و شما ... | Neutral | 6 | NIv2 | task463_parsinlu_entailment_classification | fs_opt | [
-0.7040053606033325,
0.36138078570365906,
0.25272393226623535,
-0.026091203093528748,
-0.5091740489006042,
0.21578016877174377,
0.9475349187850952,
0.21057787537574768,
0.5809535980224609,
-0.4003884196281433,
-0.9546205997467041,
0.3948163092136383,
-0.2962784171104431,
-0.054164014756679... |
In this task, you're given a context, 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 context and link information to create the q... | When did the player who scored the only and winning goal for Manchester United stop playing for them?
| 3 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
-0.06719908118247986,
0.5284522175788879,
-0.3873451352119446,
0.20120355486869812,
0.07365338504314423,
-0.2362905889749527,
0.07155664265155792,
0.20740200579166412,
-0.22191588580608368,
0.12443374842405319,
-0.30919697880744934,
0.96993088722229,
-1.1404261589050293,
-0.448731899261474... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
One example: אתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא אוהב את החוט הזה.
Solution is here: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
Explanation: The H... | من تخصصم در جا به جا کردنِ چیزهایِ سنگینه دور و ورِ جاهایِ سرد. | 6 | NIv2 | task1113_ted_translation_he_fa | fs_opt | [
-1.1782383918762207,
0.31224048137664795,
0.05097442865371704,
0.43982505798339844,
-0.25646957755088806,
-0.6455032825469971,
0.42032134532928467,
-0.004840640351176262,
0.4840444028377533,
-0.07335487008094788,
-0.7474974393844604,
0.9369221329689026,
-0.9929988384246826,
-0.044675126671... |
In this task, you need to count the occurrences of the given word in the given sentence.
Let me give you an example: Sentence: 'the brown cat sits perched on atop of the bed peering forward'. Count the occurrences of the word 'the' in the given sentence.
The answer to this example can be: 2
Here is why: The word 'the'... | 4 | 8 | NIv2 | task158_count_frequency_of_words | fs_opt | [
-0.4460800290107727,
0.4669935405254364,
-0.5592967867851257,
-0.19078753888607025,
-0.36697548627853394,
-0.16238108277320862,
0.36251166462898254,
0.1465495079755783,
-0.3074020743370056,
0.06849424540996552,
-0.4453580975532532,
0.14859655499458313,
-0.5963391065597534,
0.50304859876632... |
Q: 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].
Verify if the sentiment of the following document towards the entity Hannah Mouncey is Neutral . Image cop... | yes | 7 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
0.2365831434726715,
-0.8401185274124146,
0.22848162055015564,
-0.534602701663971,
0.4775618314743042,
-0.8635922074317932,
0.4332188665866852,
0.9585505723953247,
-0.017051056027412415,
-0.3978232741355896,
-0.08829236030578613,
0.4191969037055969,
-0.5527478456497192,
-0.00556146586313843... |
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