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 |
|---|---|---|---|---|---|---|
Detailed Instructions: Given a sentence and a label in Croatian, select the correct answer. There are 2 choices given, out of which only one is correct for a given statement and label. The label of the task is either 'cause' or 'effect'. The output will be the choice which matches the label with the given statement. If... | Isteklo je vrijeme na parkirnom aparatu. | 8 | NIv2 | task1626_copa_hr_question_answering | zs_opt | [
-0.5758177042007446,
0.7039974331855774,
-0.29915115237236023,
-0.020050767809152603,
-0.5844067335128784,
-0.17227177321910858,
0.16324980556964874,
-0.00012922636233270168,
0.16305184364318848,
0.03369457647204399,
-0.1481989026069641,
0.8627274036407471,
-1.0736037492752075,
0.345522880... |
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Sentence: 'small ch... | Yes | 0 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.6665002703666687,
0.8035562038421631,
-0.013151378370821476,
-0.31524357199668884,
-0.1453794240951538,
-0.19763065874576569,
0.5312166810035706,
0.7268944978713989,
0.17912092804908752,
-0.7194913625717163,
-0.3712284564971924,
0.21337580680847168,
-0.6062642931938171,
0.09446422755718... |
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
--------
Question: Sentence: 'Gradually the official language of Ukrainian provinces under Poland was changed to Polish , while the upper classes in the ... | be capital of
| 7 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.2315506786108017,
0.5194020867347717,
-0.40819835662841797,
-0.6333175897598267,
-0.4475058317184448,
-0.6016660332679749,
0.300351083278656,
0.23852920532226562,
0.3755009174346924,
0.1240004301071167,
-0.02989349514245987,
0.6776489019393921,
-0.825506329536438,
0.7169797420501709,
... |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used f... | Solution: PRON | 5 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.3514133095741272,
0.1283917874097824,
-0.07300499826669693,
0.08356603980064392,
-0.07704184204339981,
-0.46986111998558044,
0.603613018989563,
0.6036522388458252,
-0.5804961919784546,
-0.037133440375328064,
-0.7460613250732422,
0.11106908321380615,
-0.5486494302749634,
0.416274249553680... |
A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
Let me give you an example: Expressing happiness in interacting with women from Self Help Groups of various states, Prime Minister said that each memb... | ദേശതാല്പര്യം ഏറ്റവും പ്രധാനപ്പെട്ടതായി കണക്കാക്കിയതുകൊണ്ടു മാത്രമാണ് കഴിഞ്ഞ നാലു വര്ഷത്തിനിടെ സര്വതോന്മുഖമായ പുരോഗതി സാധ്യമായതെന്ന് അദ്ദേഹം കൂട്ടിച്ചേര്ത്തു. | 8 | NIv2 | task1021_pib_translation_english_malayalam | fs_opt | [
0.4660946726799011,
0.20659250020980835,
0.16134239733219147,
-0.8630136251449585,
0.3610142469406128,
-0.4374082684516907,
0.6539953947067261,
-0.15829822421073914,
-0.27401721477508545,
0.35382652282714844,
-0.6765743494033813,
0.34721124172210693,
-0.7980766296386719,
-0.240696877241134... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Input: Tornando a casa, io e il mio co-fondatore, ci abbiamo pensato e abbiamo detto: ci sono due problemi.
Output: | Al volver a casa, mi cofundador y yo lo estudiamos y vimos que había dos problemas. El primero es | 3 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.3082563281059265,
0.5069776177406311,
-0.5955326557159424,
0.4223669171333313,
-0.3515682816505432,
-0.13065508008003235,
-0.5380291938781738,
1.6730856895446777,
-0.2103356122970581,
-0.22709870338439941,
-0.21751675009727478,
0.24450767040252686,
-0.6598899364471436,
-0.46815496683120... |
Detailed Instructions: In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
Q: claim: Historical Artefacts Should Be... | undermine | 9 | NIv2 | task738_perspectrum_classification | zs_opt | [
0.15203127264976501,
0.6068286299705505,
0.16162757575511932,
0.16860762238502502,
-0.004765636287629604,
-0.5859596729278564,
0.7643663287162781,
0.8316181898117065,
-0.12382958084344864,
0.07815194129943848,
-0.014095335267484188,
0.32143938541412354,
-0.5076535940170288,
0.6151713132858... |
Definition: The provided file includes inquiries about restaurants, and we ask you to translate those to the Italian language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking... | mostra le recensioni con 5 stelle scritte da " tina " su " pizza ". | 2 | NIv2 | task173_spl_translation_en_it | zs_opt | [
-0.393099308013916,
0.8013989925384521,
0.03432460501790047,
0.4321461617946625,
-0.1706506311893463,
-0.3750280439853668,
0.5387945175170898,
0.6421682834625244,
-0.4045849144458771,
-0.7601709365844727,
0.18122738599777222,
0.10137823969125748,
0.0719040185213089,
0.5094321370124817,
0... |
Given a sentence in Dutch, generate a new Dutch 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... | In bijna alle landen worden kinderen door de verzekering verplicht om naar school te gaan. | 3 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.396273672580719,
0.8201485276222229,
0.3237587511539459,
-0.5839491486549377,
-0.22616830468177795,
-0.5109373331069946,
0.33561766147613525,
0.6182498931884766,
-0.038156263530254364,
-0.3580457270145416,
-0.5378952622413635,
0.6816826462745667,
-0.47476905584335327,
-0.131770581007003... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Example: With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
... | Y John dijo, "" Apuesta en gente buena haciendo cosas buenas. | 1 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
-0.3842909038066864,
0.6096372008323669,
0.07371044903993607,
0.03764016181230545,
0.028650891035795212,
0.19045484066009521,
-0.24453388154506683,
1.0866762399673462,
-0.7706272006034851,
-0.1950032263994217,
-0.8453377485275269,
0.5889828205108643,
-0.44372329115867615,
-0.47303843498229... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise
Th... | Unspecified | 0 | NIv2 | task683_online_privacy_policy_text_purpose_answer_generation | fs_opt | [
-0.9325764179229736,
-0.47029584646224976,
-0.29132717847824097,
-0.1489352583885193,
-0.25411760807037354,
-0.5987361073493958,
0.38881391286849976,
0.14903295040130615,
-0.2906884253025055,
0.6693257093429565,
0.26292872428894043,
-0.30075502395629883,
-0.5744035840034485,
-0.52185881137... |
instruction:
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
question:
Ludzie opisani wcześniej dobrze przygotowali się do nauczania, ale nie w college 'u czy na uniwersytecie, lecz dzięki przebywaniu wśród ludzi, potrafiących zaangażować.
answer:
Le persone che ho descrit... | Quindi, la prima conclusione che ne deriva e 'che i leaders devono essere in grado di parlare a tutti i livelli cosi' da raggiungere ogni individuo nella societa '.
| 9 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
0.08598925918340683,
0.5204368233680725,
-0.13918571174144745,
-0.7827468514442444,
-0.7834262847900391,
-0.9430480599403381,
0.9674487709999084,
0.31153225898742676,
-0.22838374972343445,
-0.07276928424835205,
-0.3782123327255249,
0.09482211619615555,
-0.18209199607372284,
0.6593961119651... |
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.
2008年の台北新年カウントダウンパーティーは明らかに政治的な要因によって”色褪せた”。 | Ang 2008 Taipei City New Year Countdown Party ay halatang "nabahiran" ng politikal na dahilan. | 0 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
-0.2660859525203705,
-0.04564070329070091,
-0.3230437934398651,
-0.3499252498149872,
-0.24779760837554932,
-0.824032723903656,
-0.19097810983657837,
0.5511151552200317,
-0.4769240915775299,
0.36358991265296936,
-0.5559734106063843,
0.041086308658123016,
-0.9724801778793335,
0.8161439895629... |
In this task, you are given a question. You have to answer the question based on your information.
One example is below.
Q: Roman Yakub won first price in a Choral Composition Competition at a liberal arts college founded by who?
A: William Egbert
Rationale: This is a good example, and output correctly answers the ques... | Theodore Roosevelt | 9 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
-0.5097501873970032,
0.13098673522472382,
0.39935213327407837,
-0.2274603694677353,
0.3107711374759674,
0.2557973563671112,
0.4906553328037262,
-0.24657003581523895,
0.9464670419692993,
0.4851447343826294,
0.38788965344429016,
0.7928692102432251,
-0.8595196008682251,
-0.14367075264453888,
... |
In this task, you will be presented with a question having multiple possible answers in Swahili language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Let me give you an example: Question: Meja Tom alitaka kuhifadhi silaha. Kama hatari kama wao, a... | E | 8 | NIv2 | task1144_xcsr_sw_commonsense_mc_classification | fs_opt | [
0.06428154557943344,
1.0661263465881348,
0.3683781027793884,
-0.10204387456178665,
-0.3942849338054657,
-1.4804227352142334,
0.8900670409202576,
1.0521341562271118,
0.49921485781669617,
-0.27790841460227966,
-0.46676233410835266,
0.6952953338623047,
-0.5641366243362427,
-0.599830150604248,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Mais as condicións para activar a compaixón, para despertala, son particulares.
Output: | ولی شرایط برای به وقوع یافتن و برانگيختن شفقت ، شرایط خاصی هستند. | 1 | NIv2 | task1245_ted_translation_gl_fa | zs_opt | [
0.24077975749969482,
0.5404812097549438,
-0.011217433959245682,
-0.6538180112838745,
-0.4550269842147827,
-0.33188360929489136,
1.316078543663025,
0.24125103652477264,
0.23665158450603485,
0.1818016767501831,
-0.7889443635940552,
-0.21462196111679077,
-0.7971617579460144,
0.555809140205383... |
instruction:
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should no... | PersonX lost her stuffed rabbit while at the playground with PersonY, so _ consoles her friend.
| 9 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
0.9662591814994812,
0.46712300181388855,
-0.4993717074394226,
-0.2083040177822113,
0.12554918229579926,
-0.9484366774559021,
1.5282151699066162,
0.8414416313171387,
-0.5426556468009949,
-0.5039927363395691,
0.15429368615150452,
0.1279914379119873,
-0.6762973070144653,
0.09560758620500565,
... |
Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and th... | He didn't need to go to the store. So he searched his pantry and found cereal. Ricky made and ate cereal.
| 7 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.5792250037193298,
0.2660227417945862,
-0.40699562430381775,
0.548836350440979,
0.04491022229194641,
-0.6519676446914673,
0.28118008375167847,
0.9377181529998779,
-0.3397953510284424,
-0.1810045689344406,
-0.4809120297431946,
0.3100663125514984,
-0.06070687621831894,
0.27841025590896606,
... |
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view tow... | Neutral | 0 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-0.7387306690216064,
-0.1262913942337036,
0.7433445453643799,
-0.3386131227016449,
0.028414636850357056,
-0.87604820728302,
1.2997353076934814,
0.1469857543706894,
0.8215596079826355,
0.6375359296798706,
-0.015845462679862976,
0.2542000412940979,
-0.5334392786026001,
-0.5964430570602417,
... |
Given a sentence in Chinese, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
它于2010年4月23日至29日在西班牙加泰罗尼亚巴塞罗那的巴塞罗那皇家俱乐部举行。 | Sie fand vom 23. April bis 29. April 2010 im Real Club de Tenis Barcelona in Katalonien, Barcelona, Spanien, statt. | 0 | NIv2 | task811_pawsx_chinese_german_translation | zs_opt | [
-0.49147874116897583,
0.838830292224884,
-1.1164050102233887,
-0.27954164147377014,
-0.8575761914253235,
0.1842297613620758,
-0.017805874347686768,
0.1082044243812561,
0.2968563437461853,
-0.15783226490020752,
-0.3793906569480896,
1.3093769550323486,
-0.5063005685806274,
0.5018398761749268... |
Detailed 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, no... | cause, decrease, predator, populations? | 8 | NIv2 | task044_essential_terms_identifying_essential_words | zs_opt | [
0.24108798801898956,
0.4252939820289612,
-0.7407593727111816,
-0.2547142207622528,
-0.651777982711792,
-0.6959519386291504,
0.5608392953872681,
0.4736361801624298,
-0.4551476836204529,
0.1615309715270996,
-1.1613768339157104,
-0.7414153814315796,
-0.6650795936584473,
-0.17236411571502686,
... |
Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Input: As pupilas dilatam-se, os músculos contraem-se, o nosso sentido de Homem-Aranha dá o alarme, basicamente todo o nosso corpo tem o dedo no gatilho. (Risos) Este estado não é bom para tocar música f... | Your pupils dilate, your muscles contract, your Spidey sense tingles, basically your whole body is trigger-happy. (Laughter) That condition is not conducive to performing folk music. (Laughter) | 3 | NIv2 | task1274_ted_translation_pt_en | zs_opt | [
0.6638259887695312,
0.9382263422012329,
0.01611931435763836,
-0.7034947276115417,
-0.2327387034893036,
-0.34194856882095337,
0.20782071352005005,
0.646436333656311,
0.4021080434322357,
-0.1296333372592926,
-0.7784199714660645,
0.27739590406417847,
-1.2573546171188354,
-0.22473521530628204,... |
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)
Input: Consider Input: Passage: Éomer -- Éomer has a major role in the Battle of the Pelennor Fields, the pivotal battle ... | Output: 1
| 2 | NIv2 | task1661_super_glue_classification | fs_opt | [
0.5167016386985779,
0.623778223991394,
-0.9738550186157227,
-0.28333085775375366,
-0.09990888833999634,
-0.33959606289863586,
0.36748620867729187,
0.6265937089920044,
-0.24007117748260498,
-0.042298343032598495,
-0.5650979280471802,
0.8139389753341675,
-1.0513384342193604,
0.12075554579496... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Example: E eu continuo a pensar que o transporte é o centro deste universo.
Output: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
The P... | مانند این خواهد بود که با تجربه ای نزدیک به مرگ مواجهیم جایی که نوری را در انتهای تونلی می بینید البته این بار واقعا یک تجربه کاملا مرگ آور خواهد بود. (و نه نزدیک به آن) | 1 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.36424902081489563,
0.6807966232299805,
0.3467952311038971,
0.43474245071411133,
-0.6487162709236145,
0.2665030360221863,
0.2749844789505005,
0.9345228672027588,
0.03669952601194382,
0.11120231449604034,
-0.8477051854133606,
0.38694554567337036,
0.03925056755542755,
0.5526118278503418,
... |
Instructions: Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
Input: oil
Output: | foil | 3 | NIv2 | task183_rhyme_generation | zs_opt | [
-0.1351829469203949,
1.5769493579864502,
0.050713054835796356,
-0.3933706283569336,
-1.003669261932373,
-0.3161260187625885,
0.13117001950740814,
0.6666063070297241,
-0.4095604419708252,
-0.34772324562072754,
-0.09179957211017609,
-0.9637264609336853,
-0.11044463515281677,
-0.4987221956253... |
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.
Example Input: Given Relationship: 'be chairman of', Sentence: 'Frank , the powerful chairman of the House Financial Services Committee who has been credited wit... | service
| 3 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.5696924924850464,
0.8906240463256836,
-0.20320387184619904,
-0.6164486408233643,
0.04986488074064255,
-0.25425106287002563,
0.40533262491226196,
-0.14693106710910797,
0.16133910417556763,
-0.13249768316745758,
-0.5762813091278076,
1.0754154920578003,
-0.5075153112411499,
0.4023275971412... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Q: Comment: He's getting man boobs and starting to look like Charlie S... | Sexual-explicit | 4 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-0.13481229543685913,
0.22060206532478333,
0.4434126019477844,
0.19296754896640778,
0.08132916688919067,
0.2021474838256836,
0.6628177762031555,
0.5712673664093018,
0.6846876740455627,
-0.18352335691452026,
0.24200578033924103,
0.04019920527935028,
0.02429485134780407,
-0.8196215033531189,... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Problem:Wydatki rzędu 3 miliardów dolarów na obozy uchodźców, aby pomóc ludziom, którzy zostali wyrzuceni z domów, przez sudański rząd, przez milicję Dżandżawidów, aby utrzymać tych ludzi przy życiu za... | 30億ドルを難民キャンプに支出紛争で家を失った人々がもっと継続的な援助を受けられるまで生きていけるようにしました | 8 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-0.5249534249305725,
-0.0659746453166008,
-0.8157503604888916,
-0.6197808980941772,
-0.5489935874938965,
-0.16669121384620667,
1.3972984552383423,
0.45472240447998047,
-0.5376593470573425,
-0.5529630184173584,
-0.2848743796348572,
-0.23932598531246185,
-0.7136691212654114,
-0.1496367752552... |
You will be given a definition of a task first, then some input of the task.
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.
Interesting I enjoy visiting National Parks. Any other inf... | Franz Joseph Land is located in the Artic Ocean and constituting the northernmost part of Arkhangelsk Oblast. | 1 | NIv2 | task576_curiosity_dialogs_answer_generation | zs_opt | [
-0.30213457345962524,
0.08507953584194183,
-0.8014757633209229,
-0.3786042630672455,
0.04033437371253967,
-0.14302968978881836,
1.0191043615341187,
-0.619848370552063,
0.28262412548065186,
-0.17859436571598053,
-0.23035071790218353,
-0.8404946327209473,
-0.3601042628288269,
0.1241378933191... |
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Context: Remy recorded Taylor Swift's cove... | True | 0 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.6051371693611145,
0.5763020515441895,
0.5574076175689697,
-0.06861066818237305,
0.0005686245276592672,
-0.1830708384513855,
0.1611350178718567,
0.7536655068397522,
0.48439863324165344,
0.157803475856781,
-0.4680689573287964,
-0.11146265268325806,
-0.7166039347648621,
-0.3798363506793976... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Example: Swedi... | Yes | 1 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
-0.6129298210144043,
0.6991709470748901,
0.7342713475227356,
-0.0899786725640297,
0.18310779333114624,
-0.32287532091140747,
0.5779328346252441,
0.4251874089241028,
0.470231294631958,
0.1471472531557083,
0.0026388608384877443,
1.1853885650634766,
-0.44133973121643066,
0.09781037271022797,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
[EX Q]: آب بازسانان و نخستینیان هم تا اندازه ای دارای خویشتن شرح حالی هستند. آب بازسانان و نخستینیان هم تا اندازه ای دارای خویشتن شرح حالی هستند.
[EX A]: Cetaceans and primates have also an autobiographical self to a cer... | And so six years ago, I changed the direction of my career.
| 6 | NIv2 | task1265_ted_translation_fa_en | fs_opt | [
-0.3429052233695984,
0.7709066271781921,
-0.357194721698761,
-0.15418127179145813,
-0.6151889562606812,
-0.6077625155448914,
0.7937319278717041,
0.05898784101009369,
0.6417195200920105,
0.10023162513971329,
-0.6642693281173706,
-0.5345521569252014,
-0.28016865253448486,
-0.4452363848686218... |
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, answer 'Numbers and Alphabe... | Alphabets Win | 9 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
-0.15091651678085327,
0.4667964577674866,
-0.5094804763793945,
-0.11733029782772064,
-0.15760529041290283,
-0.6752952933311462,
-0.012450494803488255,
0.17211344838142395,
-0.20461763441562653,
0.26072385907173157,
-1.1017268896102905,
0.34438425302505493,
-0.39447087049484253,
0.091834746... |
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
One example is below.
Q: The debate is closed.
A: Jag förklarar debatten av... | Och till Albright kan jag säga att detta har stått i tidningen på senare tid, och siffrorna ljuger inte. | 9 | NIv2 | task313_europarl_en_sv_translation | fs_opt | [
-0.37030166387557983,
0.9111588597297668,
0.4685221314430237,
-0.5336371660232544,
-0.030019130557775497,
-0.49021607637405396,
1.2333688735961914,
0.17411068081855774,
0.8416248559951782,
-0.1834234744310379,
-0.19968725740909576,
1.0077824592590332,
-0.8529986143112183,
0.177689433097839... |
Teacher: Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Tagalog sentence: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams
So... | June 22nd, 2012 _ Leave a comment | 2 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
-0.09788139164447784,
0.015534824691712856,
-0.35707515478134155,
0.05035286396741867,
0.4802078604698181,
-1.2266508340835571,
0.47632843255996704,
0.48417437076568604,
0.004487440921366215,
-0.19880633056163788,
0.5292819738388062,
1.1243430376052856,
-1.1611536741256714,
-0.305602371692... |
Detailed Instructions: 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".
See one example below:
Problem: Review: For ... | yes | 4 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.8213223814964294,
0.39148345589637756,
-0.21579942107200623,
1.2232204675674438,
0.0728640928864479,
-0.9967753887176514,
0.5844720005989075,
1.0132142305374146,
-0.1724114716053009,
-0.10875572264194489,
-0.6123877763748169,
0.06105326488614082,
-0.4288787841796875,
-0.1259923577308654... |
Instructions: You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be ... | anger | 3 | NIv2 | task1663_cedr_ru_incorrect_classification | zs_opt | [
-0.5411056876182556,
0.040931932628154755,
-0.023932229727506638,
-0.1435745358467102,
-0.3417268395423889,
-0.28106987476348877,
0.24631603062152863,
0.6393202543258667,
-0.04470553994178772,
-0.2964715361595154,
-0.7584023475646973,
-0.2972133755683899,
-0.7190316915512085,
-0.1139096915... |
Definition: 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 .
Input: Statement: ह्या महामार्गावरील लखनादोन ते <MASK> या शहरांमधिल १,२८२ किमीचा पट्टा भारतीय राष्ट्री... | कन्याकुमारी | 2 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
-0.1611894965171814,
0.7118598818778992,
0.5104082822799683,
-0.19601154327392578,
-0.5539435148239136,
-0.09552900493144989,
0.3077213168144226,
0.6040300726890564,
-0.2223225235939026,
-0.3724374771118164,
-1.0366156101226807,
0.18853458762168884,
0.23926964402198792,
-0.0797601789236068... |
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.
Example: I have bought several of the Vitality canned dog food products and have found them all to be of good qu... | Solution: tastes pretty mediocre to me | 5 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.33469778299331665,
-0.003074460430070758,
-0.13359880447387695,
-0.3879621624946594,
0.09347881376743317,
-0.04432414099574089,
0.5795480012893677,
0.3396206200122833,
-0.29081034660339355,
0.13914544880390167,
0.1028582751750946,
-0.26313143968582153,
-0.5017498731613159,
0.01401477865... |
Instructions: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with ... | What country borders the Caspian Sea to the northeast?
Kazakhstan | 3 | NIv2 | task671_ambigqa_text_generation | zs_opt | [
0.5024466514587402,
0.19936127960681915,
-0.430510014295578,
-0.5651658177375793,
-0.12025990337133408,
0.24670787155628204,
0.6937372088432312,
0.13999439775943756,
-0.08984507620334625,
-0.029352504760026932,
-0.7345676422119141,
-0.48193129897117615,
-0.6289244294166565,
0.1598848104476... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Example: Who was the first American President?
Example solution: president of the united states
Example explanation: The question talks about the president of the USA.
Problem: Who was the first ... | Solution: academy award for best actor | 5 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.4497721195220947,
0.7147918343544006,
-0.1608336865901947,
0.47342580556869507,
-0.2603057622909546,
-1.0558995008468628,
0.5529103875160217,
0.4905380606651306,
0.32679060101509094,
-0.20966064929962158,
-0.8785156011581421,
-0.3268347382545471,
-0.5856904983520508,
-0.5473191142082214,... |
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 se... | Yes
| 1 | NIv2 | task426_hindienglish_corpora_hi-en_classification | fs_opt | [
-0.8180513381958008,
-0.001959019573405385,
0.13184517621994019,
0.2931298017501831,
-0.10181687772274017,
-1.0330853462219238,
-0.04216599091887474,
1.2807788848876953,
-0.3533364534378052,
-0.1312614530324936,
-0.46896883845329285,
-0.022357219830155373,
-0.6600395441055298,
-0.185700580... |
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 does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that m... | a | 0 | NIv2 | task214_rocstories_incorrect_ending_classification | zs_opt | [
-0.058976948261260986,
0.33726394176483154,
0.2886594533920288,
0.05123869329690933,
-0.39141610264778137,
0.2387794554233551,
0.49912339448928833,
0.9426763653755188,
0.03390873968601227,
-0.0216694213449955,
-0.7136525511741638,
-0.4326034486293793,
-0.07291824370622635,
-0.2489720433950... |
Definition: The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Input: Harry found himself in a dreadful situation.
Output: | fear | 2 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | zs_opt | [
-0.014814351685345173,
0.23208092153072357,
0.24693679809570312,
-0.6643519401550293,
-0.2613632082939148,
-0.4036945700645447,
0.3892747759819031,
0.38414764404296875,
0.4769015908241272,
-0.5615181922912598,
-1.3111038208007812,
-0.43712836503982544,
-0.27825605869293213,
-0.217822045087... |
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.
Problem:interesting.. and do they have a main income from their work?
Oh that should look beautiful! do you hav... | On the eastern division of Bankura there are rice cultivation in marsh weeded plains. The western area is higher and covered by jungles. | 8 | NIv2 | task576_curiosity_dialogs_answer_generation | zs_opt | [
-0.07119450718164444,
0.7803718447685242,
-0.08762314170598984,
-0.2321019470691681,
-0.5025472044944763,
-0.29488447308540344,
0.6677776575088501,
0.17608636617660522,
-0.008500918745994568,
-0.5756491422653198,
-0.8321263194084167,
-0.7789103984832764,
0.031772881746292114,
0.12778936326... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Example: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی... | وسلام تعني السلام في العديد من اللغات الأثيوبية. | 1 | NIv2 | task1268_ted_translation_fa_ar | fs_opt | [
-0.574486255645752,
0.35740241408348083,
-0.8480328321456909,
-0.5074363946914673,
-0.23481087386608124,
0.02765810489654541,
0.770163357257843,
0.30054670572280884,
0.21695175766944885,
-0.0058332886546850204,
-0.5919034481048584,
0.22701972723007202,
-0.39211633801460266,
-0.168818473815... |
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.
Example: ['8129', 'a', '4245', '2391', 'Y', '7569']
Example solution: 8129, 1, 4245, 2391, 25, 7569
E... | Solution: 1, 307, 26, 5, 26, 5847, 19, 1, 24, 8, 8659, 8, 8, 4247, 31, 16, 25, 6561, 699, 8383, 6955, 11, 18, 4723, 9983, 22, 3153, 16, 3521, 8, 18, 12 | 5 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | fs_opt | [
0.04420481622219086,
0.1559392809867859,
0.459573894739151,
-0.29012465476989746,
0.044371575117111206,
-0.9967429637908936,
0.2994392514228821,
0.30811333656311035,
-0.4199005365371704,
-0.4432419538497925,
-0.24226492643356323,
-0.24007564783096313,
0.11721557378768921,
-0.53989946842193... |
This task is about translating a given Spanish language sentence to English.
Q: El nirvana.
A: | Nirvana. | 4 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.12930811941623688,
0.8494469523429871,
0.630732536315918,
-0.5532814860343933,
-0.41446739435195923,
-0.7713158130645752,
0.3067820370197296,
0.5936756134033203,
0.408215194940567,
-0.36252495646476746,
0.16989901661872864,
0.4200305938720703,
-0.6934733390808105,
0.07746892422437668,
... |
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 that defin... | eq { hop { argmax { all_rows ; bronze } ; nation } ; france ( fra ) } | 0 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.4290381968021393,
-0.011722556315362453,
-0.39775222539901733,
0.5013088583946228,
0.21784014999866486,
-0.41687875986099243,
0.542711079120636,
0.472419798374176,
0.07627082616090775,
0.01032225787639618,
-0.5093609094619751,
-0.10845372080802917,
-0.22253799438476562,
0.585049867630004... |
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... | A car hits Tori >Causes/Enables> Everyone is okay | 8 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
-0.12340329587459564,
0.23924295604228973,
0.8230355978012085,
0.1823732554912567,
-0.3863970637321472,
-0.9357401132583618,
0.08872461318969727,
0.9316519498825073,
-0.4877595603466034,
0.023134183138608932,
-0.8094109892845154,
-0.6795715093612671,
0.3460361361503601,
-0.4295906126499176... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: Związki... Jak negocjować?
Student: | Relações — como é que negoceiam? | 6 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.4188375473022461,
0.38470014929771423,
0.19891634583473206,
-0.2902653217315674,
-0.3708421289920807,
-0.1840498149394989,
0.977145254611969,
0.05374714732170105,
-0.20810864865779877,
-0.44225063920021057,
0.004198359791189432,
0.09261532127857208,
-0.6287257075309753,
-0.0822388902306... |
Q: In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
We do not know exactly how the hijackers gained access to the cockpit; FAA rules required that the doors rem... | No | 7 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
0.31454330682754517,
-0.05135917291045189,
-0.27204251289367676,
-0.12141360342502594,
0.42910653352737427,
-0.28752750158309937,
0.41058194637298584,
0.7503859996795654,
0.14045262336730957,
1.0469810962677002,
-0.12945422530174255,
-0.11838437616825104,
-0.339736670255661,
-0.06044820323... |
This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Q: Fact: algae is found in bodies of water. Question: Where would algae be safe from predators but lik... | a lake | 4 | NIv2 | task1400_obqa_incorrect_answer_generation | zs_opt | [
0.23027880489826202,
1.1702196598052979,
-0.5797749161720276,
-0.3122889995574951,
-0.27151674032211304,
-1.0796937942504883,
0.02250271663069725,
0.09042754769325256,
-0.6907352209091187,
0.08033550530672073,
0.3205793499946594,
-0.6911377906799316,
-0.6537984013557434,
0.2792988419532776... |
Definition: In this task, you need to count the number of words in a sentence that contain the given letter
Input: Sentence: 'a picture of a baseball player next to a collection of baseball memorabilia'. How many words contain the letter 'g' in the sentence.
Output: | 0 | 2 | NIv2 | task161_count_words_containing_letter | zs_opt | [
-0.6341202259063721,
0.10128816962242126,
-0.23120737075805664,
-0.7424666881561279,
0.5025694370269775,
-0.7464003562927246,
0.25037461519241333,
-0.21117570996284485,
0.3993636965751648,
-0.6148000955581665,
-0.733359694480896,
-0.11450161784887314,
-0.3821299076080322,
0.177925348281860... |
Detailed Instructions: In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Q: Then she marches out of the kitchen and into her ... | Present | 9 | NIv2 | task429_senteval_tense | zs_opt | [
-0.192409947514534,
0.7782018184661865,
-0.071287602186203,
0.34359273314476013,
-0.0244193933904171,
-0.21394552290439606,
0.405431866645813,
0.6607828140258789,
0.06237311661243439,
0.04710567742586136,
-0.04849868267774582,
0.1854885071516037,
-0.28235316276550293,
-0.05524370074272156,... |
You will be given a definition of a task first, then some input of the task.
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 upperc... | I_LOOK I_LOOK I_JUMP I_JUMP | 1 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
0.266021728515625,
0.7158191800117493,
-0.41779279708862305,
0.26905879378318787,
0.09774932265281677,
0.16770803928375244,
0.24115723371505737,
0.30114811658859253,
-0.3540511727333069,
-0.4502100348472595,
-0.7858315110206604,
-0.4899895191192627,
-0.5147759318351746,
-0.1415920704603195... |
Q: This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answ... | span | 7 | NIv2 | task027_drop_answer_type_generation | zs_opt | [
0.3533146381378174,
0.02288900315761566,
0.20111873745918274,
-0.38841724395751953,
0.7060330510139465,
-0.3867609202861786,
0.6641072630882263,
0.25519511103630066,
-0.4025886356830597,
-0.17858721315860748,
-0.29821622371673584,
0.9508005380630493,
-0.4532400667667389,
0.2669292092323303... |
Teacher:In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
Teacher: Now, understand the problem? Solve this instance: We evaluate the performance of our proposed ... | How do they measure the correlation between manual groundings and model generated ones? | 6 | NIv2 | task461_qasper_question_generation | zs_opt | [
-0.4052392244338989,
0.15447017550468445,
0.068637415766716,
-0.1902180016040802,
0.0017276093130931258,
0.022712640464305878,
0.3020738959312439,
0.6631208658218384,
-0.06450231373310089,
0.266090989112854,
-0.40016740560531616,
-0.3742484152317047,
0.09543967992067337,
0.2217625230550766... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if th... | no | 1 | NIv2 | task241_tweetqa_classification | fs_opt | [
-0.2905460298061371,
0.2591153085231781,
-0.4202815294265747,
0.835904061794281,
0.037677548825740814,
-0.8718159794807434,
-0.14365951716899872,
0.5622720122337341,
-0.5005762577056885,
0.3365718424320221,
0.1261984258890152,
-0.03399404138326645,
0.46192502975463867,
-0.00713711557909846... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn th... | What can low iron cause?
| 6 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.56821608543396,
0.9785686731338501,
0.029056519269943237,
0.01061161421239376,
-0.2128693163394928,
-1.504370927810669,
0.276830792427063,
1.2099318504333496,
-0.34812310338020325,
-0.324478417634964,
-1.0166428089141846,
-0.33930879831314087,
-0.5558874607086182,
0.04941404610872269,
... |
TASK DEFINITION: A text is given in Bengali. Translate it from the Bengali language to the Malayalam language. The translation must not omit or add information to the original sentence.
PROBLEM: 2017 ല് പരമ്പരാഗത ഊര്ജ്ജത്തിലേതിനേക്കാള് പുനരുപയോഗ ഊര്ജ്ജത്തില് ഞങ്ങള് കൂടുതല് ശേഷി കൈവരിച്ചു.
SOLUTION: ২০১৭ সালে আম... | আমরা স্বচ্ছ ভারত গড়তে পারি।
| 8 | NIv2 | task1004_pib_translation_malayalam_bengali | fs_opt | [
-0.4282347559928894,
0.7214686870574951,
0.25043195486068726,
-0.5048224925994873,
-0.20369617640972137,
-1.154797911643982,
0.6418789625167847,
0.5747898817062378,
-0.2681750953197479,
0.28868094086647034,
-0.11118162423372269,
0.4118999242782593,
-0.6459974646568298,
0.6994357109069824,
... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explana... | False | 1 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
-0.0031808558851480484,
0.5988335609436035,
-0.35269981622695923,
0.8172882795333862,
0.10184742510318756,
-0.8722877502441406,
0.18627840280532837,
0.6822102665901184,
-0.03685860335826874,
-0.1576766073703766,
-0.4816228151321411,
-0.18172363936901093,
-0.054876960813999176,
-0.009476497... |
Given a sentence in Bulgarian, generate a new Bulgarian 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 ... | Вие ще препоръчате терапия, защото виждате, че в ума си. | 9 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
0.323149710893631,
0.3370607793331146,
-0.3264702260494232,
-0.2744794487953186,
-0.0011174511164426804,
-0.8789597749710083,
1.1290302276611328,
1.1046032905578613,
0.984967827796936,
-0.2443220615386963,
-0.625598669052124,
0.7298414707183838,
-0.5288134813308716,
0.02760913409292698,
... |
Teacher: Given a question and its paraphrases, answer the question. The answer should exactly answer all the questions given without any ambiguity. Don't give partial answers.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Questions: ['what is the amount of us representative... | rosa lee sane | 2 | NIv2 | task444_com_qa_question_paraphrases_answer_generation | fs_opt | [
-0.27005866169929504,
-0.2582957446575165,
0.0705283135175705,
-0.09385211765766144,
-0.1686202585697174,
-0.41044870018959045,
0.9214026927947998,
0.14289996027946472,
-0.3013479709625244,
0.10458216071128845,
0.29317981004714966,
-0.020965684205293655,
-0.7039164304733276,
-0.02528682351... |
Given the task definition and input, reply with output. A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
तुमच्या भागात रस्ते तयार व्हावेत, यासाठी ते बलिदान देतात. तुमच्या इथे टेलिफोनचा टॉवर उभारला जा... | તમારે ત્યાં માર્ગો બને, રસ્તાં બને, એટલે તેઓ પોતાનું બલિદાન આપે છે. તમારે ત્યાં ટેલીફોનનો ટાવર લાગે, એટલે તેઓ ગોળીઓ ખાય છે. | 5 | NIv2 | task984_pib_translation_marathi_gujarati | zs_opt | [
-0.6547807455062866,
1.1473143100738525,
0.498984694480896,
0.0682041272521019,
-0.011559149250388145,
-0.7102341651916504,
0.5372569561004639,
0.10828802734613419,
0.1497601717710495,
-0.3930204510688782,
-0.5049771070480347,
0.2874627113342285,
-0.4923388957977295,
-0.18272432684898376,
... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Input: それでも自治体の認可が下りれば私営の墓地を作れます
Output: | اما در هر صورت ، شورا مجوز آن را به افراد می دهد ، و آنها در حال حاضر سعی در ساخت گورستان خود را دارند. | 3 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
0.2449342906475067,
1.0120000839233398,
0.30034318566322327,
0.5230964422225952,
0.34814250469207764,
-1.0075339078903198,
0.48002246022224426,
0.19440455734729767,
-0.23965153098106384,
0.14935092628002167,
-0.32929304242134094,
0.19355088472366333,
0.06735754013061523,
0.2438947856426239... |
Teacher:In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? Solve this instance: समर्थकों म... | Supporters who include the majority of the main opposition party, argue that because of the proliferation of nuclear weapons and threats from countries such as Iran and North Korea, Britain must have a nuclear defence capability. | 6 | NIv2 | task433_alt_hi_en_translation | zs_opt | [
-0.6495965123176575,
0.726546049118042,
0.7472437024116516,
-0.530964732170105,
0.11542810499668121,
-0.979476809501648,
0.6442536115646362,
0.7457746267318726,
0.14052657783031464,
-0.3144083619117737,
-0.3533439040184021,
0.06535223871469498,
-0.6856215000152588,
-0.06403818726539612,
... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Input: 結局情報を一つずつ検討しながら １ 〜 ２日調査をしました
Output: | Então, eu usei toda esta informação, e perdi um ou dois dias em pesquisa. | 3 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
0.2178524136543274,
-0.26858383417129517,
-0.49148228764533997,
-0.4521966576576233,
-0.4413720369338989,
-1.220018982887268,
-0.6815207004547119,
-0.12844720482826233,
-0.07978406548500061,
-0.3731483519077301,
-0.07535667717456818,
0.3837234377861023,
-0.3830053210258484,
0.2790599763393... |
Given the task definition and input, reply with output. 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). Person... | No | 5 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.2574405074119568,
0.4229245185852051,
0.37032052874565125,
-0.13706699013710022,
-0.4400100111961365,
-0.6338956356048584,
1.3938969373703003,
0.4888094961643219,
-0.26934322714805603,
-0.3689908981323242,
-0.6622714400291443,
-0.21281194686889648,
-0.8210434913635254,
0.0315369218587875... |
In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
Input: Consider Input: He was walking on the water.
(A... | Output: A
| 2 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | fs_opt | [
0.28949567675590515,
1.1928253173828125,
-0.7102507948875427,
-0.9734677076339722,
-0.10723923146724701,
-1.3429629802703857,
0.12914223968982697,
0.9373149871826172,
0.011759564280509949,
0.5237604975700378,
-0.11326543241739273,
0.025860752910375595,
-0.7891422510147095,
-0.7160307168960... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo... | Solution: [95, 32, -58, 2, 111, -20, -35, -2, -2] | 5 | NIv2 | task122_conala_list_index_addition | fs_opt | [
0.2665691375732422,
-0.002005957765504718,
-0.6229313611984253,
-0.3086654543876648,
0.0952519029378891,
-0.0023967870511114597,
0.8230224847793579,
0.7270747423171997,
-0.38435491919517517,
-0.1639576554298401,
-0.6141351461410522,
-0.013310374692082405,
-0.36816614866256714,
-0.335314035... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to con... | A musician plays a guitar. | 9 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | zs_opt | [
-0.33801889419555664,
0.8246812224388123,
-0.41794008016586304,
-0.5281112194061279,
0.0924743115901947,
-0.5238332152366638,
0.2833036780357361,
0.43289077281951904,
0.1439085304737091,
-0.13688212633132935,
-0.8783310651779175,
-0.5407670140266418,
-0.5158088207244873,
-0.518951594829559... |
Use a disfluent question or a proper question and find the answer to the question based on the given context or return None if an answer can't be found. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Inpu... | Output: Amtrak San Joaquins
| 2 | NIv2 | task1625_disfl_qa_asnwer_generation | fs_opt | [
1.074608564376831,
-0.0651174932718277,
-0.5957693457603455,
0.34900546073913574,
0.6328966617584229,
-0.4448122978210449,
0.9564627408981323,
0.3679940104484558,
-0.0859738141298294,
0.3582990765571594,
-0.6382911205291748,
0.2604774236679077,
-0.4087579846382141,
0.11184261739253998,
-... |
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 se... | No | 3 | NIv2 | task426_hindienglish_corpora_hi-en_classification | fs_opt | [
-0.07669305801391602,
0.4661343991756439,
0.36417272686958313,
0.23200778663158417,
0.33069324493408203,
-0.7116285562515259,
-0.5995820760726929,
0.9336544275283813,
-0.3073030710220337,
-0.447047621011734,
-0.7013769745826721,
-0.05498629808425903,
-0.6764215230941772,
0.5102891325950623... |
TASK DEFINITION: In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
PROBLEM: How would the universe look without gravity? It would have no planets and no stars. T... | Yes
| 8 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.7005021572113037,
0.7711211442947388,
-0.5873986482620239,
-0.39164862036705017,
0.16596776247024536,
-0.5243672132492065,
0.5146717429161072,
0.8755017518997192,
0.03779735416173935,
0.16874699294567108,
-0.39375823736190796,
0.08066032081842422,
-0.1552676409482956,
-0.2187879979610443... |
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
Example: Ne... | Solution: Not Funny | 5 | NIv2 | task495_semeval_headline_classification | fs_opt | [
-0.05023559182882309,
0.4999191164970398,
0.5122323632240295,
-0.09444171190261841,
-0.4482583999633789,
-0.3943738639354706,
0.5041201114654541,
1.1378928422927856,
-0.12900932133197784,
0.21218940615653992,
-0.7672690153121948,
-0.4071660041809082,
-0.8247319459915161,
0.0318467915058136... |
TASK DEFINITION: In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' ... | [{'first': -82, 'second': -76}, {'first': -80, 'second': -23}, {'first': -10, 'second': -60}, {'first': 2, 'second': -42}, {'first': 10, 'second': 27}, {'first': 44, 'second': 65}, {'first': 64, 'second': 0}, {'first': 70, 'second': 22}, {'first': 99, 'second': -33}]
| 8 | NIv2 | task123_conala_sort_dictionary | fs_opt | [
0.5638449788093567,
-0.13040967285633087,
-0.21858187019824982,
-0.26983702182769775,
0.6238974332809448,
-0.011752288788557053,
0.8910261392593384,
0.8922954797744751,
-0.21530817449092865,
-0.2772359848022461,
-0.43203267455101013,
-0.23012907803058624,
-0.5703761577606201,
0.12876868247... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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: Cheval de soins pour les enfants de 3 ans!
So... | French | 0 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.406681627035141,
0.5289742946624756,
0.19075776636600494,
-0.5960572957992554,
0.34479567408561707,
-0.01324249804019928,
0.765677809715271,
0.8188366889953613,
0.1709413230419159,
-0.2872130274772644,
0.04839034378528595,
0.566831111907959,
-0.5050540566444397,
0.12286941707134247,
0.... |
Part 1. Definition
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 does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, ... | b | 7 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
0.41271984577178955,
0.12098580598831177,
-0.49398601055145264,
0.2419504076242447,
0.7807445526123047,
0.12391534447669983,
0.4903811812400818,
1.205273151397705,
0.14004617929458618,
0.2523108720779419,
-0.8650805354118347,
-0.13986077904701233,
-0.1597541868686676,
-0.0772017389535904,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Translate from English to Hindi.
Go to the employment office.
Solution: रोजगार कार्यालय जाओ.
Why? The translation is accurate.
New input: He must have died by now.
Solution: | वह अब तक मर गए होंगे. | 0 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
-0.18705016374588013,
0.38771694898605347,
-0.1629541516304016,
0.10977603495121002,
-0.07515308260917664,
-0.029206957668066025,
0.24632950127124786,
0.22910960018634796,
0.011989125981926918,
0.42617666721343994,
-0.27733808755874634,
-0.5470921397209167,
0.5790035724639893,
0.9105163812... |
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
... | that they should ask their friend what to do
| 1 | NIv2 | task595_mocha_answer_generation | fs_opt | [
-0.007196411490440369,
0.6904734373092651,
-0.6201494336128235,
-0.17868581414222717,
0.2587512731552124,
-0.3921806216239929,
0.7110629677772522,
0.5183889865875244,
0.5359716415405273,
-0.30121368169784546,
-0.16078916192054749,
0.3429562747478485,
-0.43494999408721924,
-0.26539066433906... |
Teacher: 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 concludin... | Molecules of tRNA bring the building blocks of proteins to the ribosome in the correct sequence. | 2 | NIv2 | task038_qasc_combined_fact | fs_opt | [
0.18295827507972717,
0.2459176927804947,
-0.6943094730377197,
0.09261982142925262,
-0.48556575179100037,
-1.0844941139221191,
-0.17172613739967346,
0.8964567184448242,
-0.7199925184249878,
0.12005376815795898,
-1.3071870803833008,
0.6796746253967285,
-0.36055389046669006,
-0.52374696731567... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Q: 予想外にも三つ目の利点が浮かび上がりました
A: | Przyniosło to jeszcze trzecią, niespodziewaną korzyść. Przyniosło to jeszcze trzecią, niespodziewaną korzyść. | 4 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
-0.18018214404582977,
0.13731136918067932,
-0.15514621138572693,
-0.29635995626449585,
-0.23811981081962585,
0.24289897084236145,
0.8071800470352173,
-0.2106838822364807,
0.5404080152511597,
-0.44176197052001953,
-0.6033706665039062,
0.849029541015625,
-0.869245171546936,
0.366543292999267... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Example: Context... | Both Arthur C. Clarke and Jean Rhys are known for what profession? | 1 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.7686780691146851,
0.331909716129303,
-0.8883602619171143,
0.9677903056144714,
0.6835002899169922,
-0.01891596056520939,
0.6804456114768982,
0.5217878818511963,
-0.09768174588680267,
0.4193882942199707,
-0.06787365674972534,
0.5116052627563477,
-0.8114304542541504,
-0.09846308827400208,
... |
Given the task definition, example input & output, solve the new input case.
Given a text, write a compressed version of it in a single sentence.
Example: Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford Uni... | Regulatory agency: Commission is not subject to title II (Unfunded Mandates Reform ACT). | 1 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.6944280862808228,
0.476065069437027,
0.36653217673301697,
0.3129609227180481,
0.1605212241411209,
-0.605606198310852,
0.42927250266075134,
0.7511778473854065,
-0.2514324486255646,
0.7208795547485352,
-0.17372119426727295,
-0.2360094040632248,
-0.2817320227622986,
-0.17465157806873322,
... |
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 command.... | I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_WALK I_WALK I_WALK
| 6 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.24160726368427277,
0.5887558460235596,
-0.5113338232040405,
0.24266090989112854,
-0.12864592671394348,
-0.18081191182136536,
0.01430940255522728,
0.3047206401824951,
-0.20478752255439758,
-0.07616453617811203,
-0.721753716468811,
-0.06964732706546783,
-0.5652943849563599,
-0.120773762464... |
In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Example Input: Pre-heat oven to 425 degrees.,Line a baking sheet with parchment or a silicon-baking mat.,In a large bowl, combine the flour, baking powder,... | Wasabi paste
| 3 | NIv2 | task572_recipe_nlg_text_generation | fs_opt | [
0.8887922763824463,
-0.4779247045516968,
-0.7749606370925903,
0.5125463604927063,
0.4135395288467407,
0.11822788417339325,
1.1126556396484375,
0.7220926880836487,
-0.2259349822998047,
-0.05930512398481369,
0.7379757761955261,
0.3233877122402191,
-0.4916912317276001,
0.5236048698425293,
-... |
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 command.... | I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_WALK I_WALK I_WALK | 9 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.11102946102619171,
0.5416231155395508,
-0.37959691882133484,
-0.09040768444538116,
0.12018891423940659,
-0.17180486023426056,
0.37576088309288025,
0.06731818616390228,
-0.18443787097930908,
-0.2760169506072998,
-0.7867449522018433,
-0.37628984451293945,
-0.7863160967826843,
-0.1675183475... |
In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
[EX Q]: West Lebanon is an unincorporated community (pop. approx 3,200) within the city ... | It includes all of Albany and Schenectady counties, and portions of Montgomery, Rensselaer, and Saratoga counties.
| 6 | NIv2 | task192_hotpotqa_sentence_generation | fs_opt | [
0.6201308965682983,
0.4735395908355713,
-0.34872567653656006,
0.10476551204919815,
0.14288106560707092,
-0.2211472988128662,
0.24836254119873047,
0.41195154190063477,
-0.28083479404449463,
-0.05113767832517624,
-0.2677072584629059,
0.6306670308113098,
-0.35429662466049194,
-0.7205522060394... |
You will be given a definition of a task first, then some input of the task.
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, Pers... | Yes | 1 | NIv2 | task1216_atomic_classification_causes | zs_opt | [
0.007742583751678467,
0.2763747572898865,
0.34318163990974426,
-0.3236690163612366,
-0.40039175748825073,
-0.38570141792297363,
1.200174331665039,
0.18398818373680115,
-0.8364656567573547,
-0.31747692823410034,
-0.3870733380317688,
-0.7755293846130371,
-0.4556944966316223,
0.01565467566251... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Finnish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Finnish language. 2)... | Lähtekää täältä, ja älkää koskaan jalallanne astuko nummelle." | 3 | NIv2 | task1650_opus_books_en-fi_translation | fs_opt | [
-0.1784457266330719,
0.8901371955871582,
-0.19511732459068298,
-0.18035662174224854,
0.07389628887176514,
-1.1508712768554688,
1.1944677829742432,
0.3101489543914795,
-0.4835314154624939,
-0.3922489285469055,
0.21609055995941162,
1.4061087369918823,
-1.2366673946380615,
0.5859687328338623,... |
instruction:
In this task, you are given a hateful post in Spanish from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
question:
Post: @julihavas @miab... | Individual
| 9 | NIv2 | task338_hateeval_classification_individual_es | fs_opt | [
-1.086073875427246,
0.7109249234199524,
-0.09354809671640396,
0.5277750492095947,
-0.5025755763053894,
-0.786643385887146,
-0.021532908082008362,
0.9591900110244751,
-0.4883356988430023,
-0.06206857040524483,
-0.38205409049987793,
0.24932141602039337,
-0.5232110023498535,
-0.47186785936355... |
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]: Several power boats and a spotter plane were escorting the surviving... | 2003年のケベック選挙では、ケベック民主行動党合計4議席獲得で、政党としての地位を得るためにはあと8議席必要だった。
| 5 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
0.2002439945936203,
-0.26498982310295105,
-0.05875755846500397,
-0.8182448744773865,
0.22184297442436218,
-0.7284418940544128,
0.5666190385818481,
0.1596912145614624,
-0.2199045568704605,
-0.05680348724126816,
-0.2519737780094147,
-0.30705004930496216,
-0.24276863038539886,
-0.070177242159... |
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Quando estamos no curso de medicina, aprendemos anatomia a partir de ilustrações como esta em que tudo tem uma cor.
| 医学部での授業では画面のように図解の解剖図で学び全てが色分けされていました | 5 | NIv2 | task1275_ted_translation_pt_ja | zs_opt | [
-0.3710092306137085,
0.5786170363426208,
0.14267581701278687,
-0.3539833426475525,
-0.3383205533027649,
-0.20475135743618011,
-0.5938527584075928,
0.5498065948486328,
0.5372246503829956,
-0.13177573680877686,
-0.32033610343933105,
0.06676574051380157,
-0.09544216096401215,
0.65824043750762... |
instruction:
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
question:
La clave aquí es el conocimiento.
answer:
Qui il punto è la conoscenza.
question:
Ésta es la magnitud del trabajo a culminar para 2010.
answer:
Questa è l'entità del lavoro che verrà completato entr... | (Risate) Perché continuiamo a fare la stessa cosa aspettandoci risultati diversi?
| 9 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.17698073387145996,
1.0916149616241455,
-0.019619110971689224,
-0.6067624092102051,
-0.4508347511291504,
-0.589370846748352,
0.2797967791557312,
0.9594880938529968,
0.04190851375460625,
-0.4956315755844116,
-0.1637600064277649,
0.6528054475784302,
-0.3692985773086548,
0.7553698420524597,... |
Definition: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid u... | A man is pushing a shopping cart. | 2 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | zs_opt | [
-0.5975976586341858,
0.6750379800796509,
0.5433759093284607,
-0.5202885866165161,
0.2729575037956238,
0.4210987389087677,
0.12182576954364777,
0.5704516172409058,
0.4825349748134613,
-0.4130624532699585,
-0.9515063762664795,
-0.04287327080965042,
-0.732416570186615,
0.13171720504760742,
... |
Detailed Instructions: In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" ... | False | 4 | NIv2 | task1187_politifact_classification | fs_opt | [
0.3639679551124573,
0.3778805434703827,
-0.36413800716400146,
0.3093527555465698,
-0.6940563321113586,
-0.6192690134048462,
0.7373822927474976,
-0.0811779797077179,
-0.012216536328196526,
0.14684340357780457,
-0.4098461866378784,
0.1958504617214203,
-0.228611558675766,
0.3453478217124939,
... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Q: Primo, nessun vero sportivo parlerebbe in quel modo.
A: | اول ، هیچ هوادار واقعی ورزشی به این شکل صحبت نمی کنه. | 9 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
0.37995412945747375,
0.5153415203094482,
-0.5904176235198975,
-0.5513414740562439,
-0.7481821179389954,
0.8356291055679321,
0.05363565683364868,
0.4926518201828003,
-0.29801204800605774,
-0.8456834554672241,
-0.8880208730697632,
-0.3297269940376282,
-1.1623848676681519,
-0.2462929338216781... |
Detailed Instructions: In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Problem:['c', 37, '5939', 'C', 'G', 't', 1223], ['i', 'q', '5939', 'C', 'G', 'f', 4733]
Solution: | 5939, C, G | 8 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.39085108041763306,
0.37799179553985596,
-0.37073814868927,
-0.753686785697937,
0.16763058304786682,
-0.16945266723632812,
-0.25031957030296326,
-0.49856647849082947,
0.004836485721170902,
-0.4111366271972656,
-1.1689187288284302,
-0.4998549222946167,
0.4283791780471802,
0.50517439842224... |
Q: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Context: Faith leaders from #StClou... | what do the faith leaders want people to show? | 7 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-1.1728352308273315,
0.8094445466995239,
-0.4817533493041992,
-0.0639255940914154,
-0.23028090596199036,
-0.9773554801940918,
0.34468814730644226,
0.271166056394577,
0.5258512496948242,
0.32530510425567627,
0.6407939195632935,
0.29149705171585083,
-0.4736243486404419,
-0.3090907633304596,
... |
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