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 |
|---|---|---|---|---|---|---|
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correc... | Round. | 4 | NIv2 | task041_qasc_answer_generation | zs_opt | [
0.03316448628902435,
0.8968338370323181,
-0.05635834485292435,
-0.2601492404937744,
-0.577129065990448,
-1.0035150051116943,
0.4963875412940979,
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-0.4733130931854248,
-0.9286882877349854,
0.8309566974639893,
-0.803294837474823,
0.37227553129196167,... |
You will be given a definition of a task first, then some input of the task.
You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from o... | B | 1 | NIv2 | task228_arc_answer_generation_easy | zs_opt | [
0.387118399143219,
1.3395496606826782,
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0.20557087659835815,
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... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
[Q]: (Laughter) I'm going to use a device from a company called Mobisante.
[A]: (Risate) Utilizzerò un apparecchio di un'azienda che si chiama Mobisante.
[Q]: And if we have policies in which we take it in that larger hi... | Una! Giusto. OK.
| 5 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
0.0200942549854517,
0.6204973459243774,
-0.18594148755073547,
-0.4858279824256897,
-0.6072533130645752,
-1.0052709579467773,
-0.491208016872406,
1.1629276275634766,
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0.24317732453346252,
-0.033117275685071945,
0.47798746824264526,
0.9000449180603027,
-0.0989945679903030... |
Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei... | Si vous voulez marcher autour d'un lac, alors vous devriez concevoir une promenade. | 6 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | fs_opt | [
0.0339701846241951,
0.8670217990875244,
0.23471756279468536,
0.12761089205741882,
0.17668966948986053,
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0.23421195149421692,
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-0.3644701838493347,
-0.39811986684799194,
-0.4017074704170227,
0.18908292055130... |
You are given a target person and two sentences. Your task is to determine whether the second sentence conveys either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an ... | unrelated
| 6 | NIv2 | task318_stereoset_classification_gender | fs_opt | [
-0.618678092956543,
0.6911669969558716,
-0.18798702955245972,
-0.05630280077457428,
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-0.10150837153196335,
-0.6928486227989197,
-0.0616567693650... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Swedish 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)... | This solution is unacceptable because these car manufacturers have not had the opportunity to build the environmental demands we are making of them today into their manufacturing procedures and their manufacturing costs. | 1 | NIv2 | task312_europarl_sv_en_translation | zs_opt | [
-0.512086033821106,
0.8341171741485596,
0.6792975664138794,
-0.6291258931159973,
0.14110174775123596,
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0.09524548798799515,
0.24442152678966522,
0.09378392994403839,
-0.5186759233474731,
0... |
Teacher:In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer u... | 24513 | 6 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.0551539808511734,
-0.025035345926880836,
0.06613576412200928,
-0.38884681463241577,
-0.04911787435412407,
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0.11474168300628662,
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0.33889979124069214,
-0.4075316786766052,
-0.49668294191360474,
-0.5005421042442322,
-0.1944503188... |
TASK DEFINITION: In this task, you need to Translate Czech text to English.
PROBLEM: Řešení se týká soustavy zásobníku granulátu, účelem řešení Je zkvalitnit odloučení granulátu od vody, pomocí které je granulát transportován. Podstata řešení spočívá v tom, že jednotlivé sousední granulační zásobníky gs°u propojen... | Refractory block lining assembly The building block is refractory bricks (I) that are sealed they stand in at least six rows to smooth or stepped block, with the second row above bricks (1), a sheet metal suspension is inserted into the loading joint (2) of the block a U-shaped insert (3) whose vertical hinges (4,... | 8 | NIv2 | task842_para_pdt_cs_en_translation | fs_opt | [
-0.044146422296762466,
0.28532442450523376,
-0.1384396106004715,
0.0955016165971756,
0.4770163893699646,
-0.6325486898422241,
1.006221890449524,
0.8172092437744141,
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0.17280764877796173,
0.08884290605783463,
0.11650512367486954,
-0.9180188179016113,
0.20574283599853516,... |
Definition: In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Input: Certain actions are not permitted when a player interacts with a player that he what?, Context: There are many rules to contact in this type of football. First, the only player on... | intends to block | 2 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
1.044870138168335,
0.6249126195907593,
-0.4423218071460724,
0.03736935555934906,
-0.19611653685569763,
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0.5335314273834229,
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-0.10100874304771423,
-0.19861844182014465,
0.13658040761947632,
-0.640864372253418,
-0.0697278156876... |
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.
[EX Q]: 昨日リリースされたBBCを支持する歌が、イギリスのいくつかの音楽チャートに影響を与えている。
[EX A]: Ang isang awiting inilabas kahapon bilang tulong sa BBC ay gumagawa ng impak sa il... | Ang presidente ng Uganda na si Yoweri Museveni ay dinistansya ang sarili sa pinagtatalunang panukalang batas sa parliyamento na gagawa ng mga partikular na mga gawainng homosekswalidad ay pinarurusahan ng kamatayan.
| 6 | NIv2 | task1118_alt_ja_fil_translation | fs_opt | [
-0.4039177894592285,
0.05103978514671326,
-0.7141444683074951,
-0.44644051790237427,
0.6087830662727356,
-1.0911014080047607,
0.42633652687072754,
0.7417101263999939,
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-0.6475616693496704,
0.782745897769928,
-0.8132094144821167,
0.01326818391680717... |
Teacher: Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Question1: How do I get into my Instagram if I forgot my email and my Facebook pa... | No | 2 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.19192132353782654,
0.17870286107063293,
0.31730782985687256,
-0.31973838806152344,
0.006552824750542641,
-0.7829359173774719,
1.1671236753463745,
0.28402113914489746,
-0.2271510660648346,
-0.1146552711725235,
0.09783567488193512,
-0.6622717380523682,
-0.8193662166595459,
-0.294787347316... |
We would like you to assess the QUALITY of each of the following argument (discussing Gay Marriage) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of gay marriage. A... | Invalid
| 3 | NIv2 | task148_afs_argument_quality_gay_marriage | fs_opt | [
0.09085143357515335,
0.6216278076171875,
0.8857457637786865,
-0.09929686784744263,
-0.16079802811145782,
-1.3800742626190186,
0.4694209694862366,
0.5007877349853516,
0.18060773611068726,
-0.06993243098258972,
-0.6882527470588684,
-0.13445523381233215,
-0.5051541328430176,
-0.32098048925399... |
Q: 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 det... | No | 7 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.28289905190467834,
0.21705296635627747,
0.4991907477378845,
-0.03346088156104088,
-0.5523289442062378,
-1.098466396331787,
0.8951587080955505,
0.44971656799316406,
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-0.37661421298980713,
-0.37885189056396484,
-0.6210548877716064,
0.375488013029098... |
instruction:
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
question:
The only other flavored coffee I've used was Nestle Hazelnut. It too was a 5# whole bean. I really enjoyed that one and thought I pick thi... | Negative
| 9 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
-0.04050292819738388,
-0.49810338020324707,
0.1874157190322876,
-0.1305183470249176,
0.40212640166282654,
0.17385423183441162,
1.2011685371398926,
0.3431788682937622,
-0.16524766385555267,
0.06548777222633362,
-0.10020581632852554,
-0.2753710448741913,
-0.3327776789665222,
-0.1925179511308... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
島の東端ではサンゴ礁は無傷のままで繁栄しており台風が通過した形跡は殆ど見あたりませんでした
And on the eastern end of the island, where the reefs are intact and thriving, you could barely tell a tropical storm had passed.
１つは集束超音波ですそしてもう１つは術野を提供する磁気共鳴画像法 （ MRI ） です... | Elvis uses it, but so does Shakespeare in this famous line from "" Romeo and Juliet: "" Juliet is the sun.
| 0 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
0.08721311390399933,
0.19149842858314514,
-0.2802566885948181,
-0.689559817314148,
-0.20448793470859528,
-1.1070411205291748,
0.5405071973800659,
0.4004833698272705,
-0.2070746123790741,
-0.6369104385375977,
0.14391660690307617,
0.017272258177399635,
-0.286245197057724,
0.15944154560565948... |
Given a sentence in Arabic, generate a new Arabic sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei... | « ولئن » لام قسم « أُغْطِيْتَ » غطيت « المظلة » أي المظلة « فذهبتَ » إلى « مَلَكَةٍ » منصوب بضم الميم وفتح الميم وفتحها محذوف ، أي إلى مَدْرِك. | 0 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | zs_opt | [
-0.6391068696975708,
0.24031385779380798,
-0.04567736014723778,
-0.5643331408500671,
-0.7720986008644104,
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0.8171095848083496,
0.38087812066078186,
0.24386070668697357,
-0.26491475105285645,
-1.0884290933609009,
-0.3063960671424866,
-0.5651826858520508,
0.3209967613220... |
Part 1. Definition
In this task your given two statements in Estonian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Part 2. Example
Ese oli mullikilesse mässitud.... | cause | 7 | NIv2 | task969_xcopa_commonsense_cause_effect_et | fs_opt | [
-0.2267809808254242,
0.7926222681999207,
0.047830238938331604,
-0.5152672529220581,
-0.12779296934604645,
-0.6399749517440796,
0.28221654891967773,
0.9027215242385864,
0.6763556599617004,
0.38095521926879883,
-0.6728003025054932,
0.1521712988615036,
-0.9038360118865967,
0.1158679872751236,... |
Definition: In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Input: Ahora bien, en el debate y en las propuestas se ha dado preferencia al tema "calidad físico-... | The "physico-chemical and ecological quality of water" was highlighted during the debate and in the proposals, and the adverse effects of other aspects was, at best, touched upon marginally. | 2 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
-0.541397213935852,
0.8552548885345459,
0.339348167181015,
-0.6567577123641968,
-0.05123583972454071,
-0.21223798394203186,
0.5806868076324463,
0.42420053482055664,
0.1321178674697876,
0.012944208458065987,
-0.35896140336990356,
0.1798671931028366,
-0.8566484451293945,
-0.01129399053752422... |
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 need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a cat... | WRB | 0 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
-0.047654278576374054,
0.3392315208911896,
-0.1931946873664856,
0.30601415038108826,
-0.11036369204521179,
-0.5697377920150757,
0.7905811071395874,
1.108736515045166,
-0.36919254064559937,
-0.3584728240966797,
-0.1500595510005951,
0.2514391541481018,
-0.10750017315149307,
0.197694569826126... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Japanese 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).
選挙の2日後、未確定なままの議席が... | Two days after the election, a handful of seats are still in doubt. | 5 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.2815706729888916,
0.6431112289428711,
0.8374466896057129,
0.10192080587148666,
0.1511327624320984,
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0.49413055181503296,
0.1821756660938263,
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-0.2005607932806015,
-0.2434285432100296,
0.23240289092063904,
-0.5132799744606018,
0.33405593037605286... |
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
Let me give you an example: ఇల్లు అందంగా ఉంది
The answer to this example can be: Telugu
Here is why: The language is Telugu so it is correct.
OK. solve this:
Depression and ADHD (attention deficit hyperactivity dis... | English | 8 | NIv2 | task1618_cc_alligned_classify_tel_eng | fs_opt | [
0.2778257131576538,
0.5799843668937683,
0.33728137612342834,
-0.527127742767334,
-0.13904546201229095,
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0.19172519445419312,
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-0.5621057748794556,
-0.22779007256031036,
-0.6074678301811218,
-0.04092803969979... |
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 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... | walk left and turn right thrice | 0 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.0021439273841679096,
0.27700114250183105,
-0.43206143379211426,
0.27173224091529846,
0.08333216607570648,
0.042172983288764954,
0.3630538582801819,
0.8471946716308594,
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-0.018506217747926712,
-0.5925912261009216,
-0.5949063897132874,
-0.5077362060546875,
-0.1083304956... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.... | NUM
| 7 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.8180710077285767,
0.3380087912082672,
-0.17391420900821686,
0.09494718909263611,
0.022058378905057907,
-0.7338681817054749,
0.4377792477607727,
0.6435990333557129,
-0.3048608601093292,
-0.07708168774843216,
-0.5018213987350464,
0.036805495619773865,
-0.6820548176765442,
0.397972136735916... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Russian, generate a new Russian 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 ... | Ты можешь использовать сцену, чтобы рассказать историю. | 1 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
0.05988127738237381,
0.6188358068466187,
0.1042177826166153,
-0.2090173065662384,
-0.18021562695503235,
0.5359797477722168,
0.6329389214515686,
0.9388061761856079,
0.4509691298007965,
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-0.6950055360794067,
-0.1762865036725998,
0.0640382245182991,
0.15230119228363037,
... |
TASK DEFINITION: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
PROBLEM: Sentence1: 'a laptop computer sitting on top of a blue counter', Sentence2: 'a person sitting in a chair outside with a suitcase next to them'. Is the frequency of the word 'counter' ... | No
| 8 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.24158667027950287,
0.6727840304374695,
-0.47928887605667114,
0.11251422017812729,
0.06932610273361206,
0.0454055517911911,
0.609756350517273,
1.3027334213256836,
0.05378219485282898,
0.12919749319553375,
-0.22903740406036377,
-0.22771398723125458,
-0.21962347626686096,
0.382085800170898... |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Q: బాయ్, మీరు మీరు చెల్లించే ఎవరు అనుకుంటున్నారు?
A: | Boy, who do you think is paying you? | 4 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
-0.34189727902412415,
1.2374119758605957,
0.5357415676116943,
-0.11278608441352844,
0.14174115657806396,
-0.7216536402702332,
0.5935136675834656,
0.08089777827262878,
0.2772192060947418,
-0.42977476119995117,
0.30784979462623596,
0.7500149011611938,
-0.9493598341941833,
0.38998937606811523... |
In this task, a passage will be given and the goal is to identify an event from the passage. An event is defined as a single word representing something that happened, is happening, or may happen. An event can be factual or hypothetical, positive or negative, certain or uncertain. While most events are based on verbs, ... | deal
| 6 | NIv2 | task388_torque_token_classification | fs_opt | [
0.469818115234375,
0.2793109714984894,
0.0033618148881942034,
0.25796523690223694,
0.018901320174336433,
0.03561754524707794,
-0.331609308719635,
0.5999602675437927,
-0.3030841052532196,
0.29304802417755127,
0.08073848485946655,
0.22788144648075104,
-0.020506471395492554,
-0.00865222327411... |
instruction:
In this task, given a sentence in the Thai language, your task is to convert it into the English language.
question:
อย่างไรก็ตาม ตอนนี้พวกเขาได้มีความล่าช้ากว่ากำหนดที่ตั้งไว้ และการหารือ Geneva ก็ดูเหมือนจะไม่มีความคืบหน้า
answer:
However, they are now behind the deadlines they set and the Geneva meeting... | There has been a significant increase since an emergency intervention five years ago in response to a report titled Little Children are Sacred which documented widespread sexual abuse of Northern Territory children and failures by authorities to adequately respond.
| 9 | NIv2 | task537_alt_translation_th_en | fs_opt | [
0.29868948459625244,
0.19762679934501648,
-0.461213082075119,
-0.6979913711547852,
-0.24654890596866608,
-0.3777564465999603,
0.42881980538368225,
0.08901502192020416,
-0.4137468934059143,
0.08220478892326355,
0.11958345025777817,
0.6920268535614014,
-0.9478535652160645,
0.3161244392395019... |
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 | 6 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.3146705627441406,
0.2613699734210968,
0.18337859213352203,
-0.37576162815093994,
-0.6474659442901611,
-0.6762089133262634,
0.9328341484069824,
0.5272044539451599,
-0.3390384912490845,
-0.510269284248352,
-0.5147926807403564,
-0.6446340680122375,
-0.7087349891662598,
0.03706374019384384,
... |
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_TURN_LEFT I_TURN_RIGHT I_TURN_RIGHT | 1 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.334425687789917,
0.6833599805831909,
-0.3870859146118164,
0.33538511395454407,
0.053742460906505585,
0.08525829017162323,
0.15949368476867676,
0.27610984444618225,
-0.2687050700187683,
-0.3243230879306793,
-0.7334737777709961,
-0.5127155780792236,
-0.3562535047531128,
-0.1543230414390564... |
Instructions: In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Input: ¿A qué se refiere el muestreo intersesional utilizado en las técnicas de observación
Output: | What does the intersessional sampling used in observation techniques refer to | 3 | NIv2 | task1433_head_qa_language_translation_es_to_en | zs_opt | [
-0.633182168006897,
0.12759822607040405,
0.02196342498064041,
-0.6943234205245972,
0.0383991040289402,
-0.5142585635185242,
-0.04373600333929062,
0.9088904857635498,
0.515957236289978,
-0.3641878068447113,
-0.4826917052268982,
-0.2016308307647705,
0.15401816368103027,
-0.11919549107551575,... |
Instructions: 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 numbers separated by comma inside brackets.
Input: [10.026, 16... | [-51, 41, -60, 4] | 3 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
-0.09025397151708603,
0.7216929793357849,
-0.2939711809158325,
-0.4230133891105652,
0.04430033639073372,
0.20537039637565613,
0.7201147079467773,
0.4614347517490387,
-0.23290693759918213,
0.15045630931854248,
-0.3578423261642456,
0.3358875513076782,
0.29608768224716187,
-0.5223009586334229... |
Detailed Instructions: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Q: amaaamimamm
A: | maaam | 9 | NIv2 | task850_synthetic_longest_palindrome | zs_opt | [
0.09993720054626465,
0.8022628426551819,
-0.3111327886581421,
-0.6313753128051758,
-0.9717490077018738,
-0.12763094902038574,
0.8196947574615479,
0.09162846952676773,
-0.03196822106838226,
0.09233806282281876,
-0.5690371990203857,
0.059575632214546204,
-0.8661335110664368,
0.39780667424201... |
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 Hebrew.
A estrutura comeza a saír onde vemos algo parecido a un comportamento fraccional das palabras e da linguaxe que usamos para describir as cousas ... | המבנה מתחיל להתגלות איפה שאנחנו רואים סוג של התנהגות פרקטלית של המילים והשפה שאנחנו משתמשים לתאר את הדברים שחשובים לנו בכל העולם. | 1 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-1.074220061302185,
0.8613173365592957,
0.521553635597229,
-0.25859346985816956,
-0.044560953974723816,
-0.2709794342517853,
0.9998521208763123,
0.03536352515220642,
0.09900380671024323,
-0.0643220990896225,
-0.6505954265594482,
-0.07197388261556625,
-0.9741918444633484,
0.3898956775665283... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | red_bottle
| 0 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.5133650302886963,
-0.32929345965385437,
-0.47071126103401184,
-0.09448548406362534,
-0.15289504826068878,
-0.4145587086677551,
0.0840158611536026,
0.7617548704147339,
0.08985145390033722,
0.02034001424908638,
-0.812576413154602,
0.3120681643486023,
-0.21060356497764587,
0.266782492399215... |
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example: Tweet: @justinchuan Awww! I was thinking about you lot u... | no | 6 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.1414234638214111,
0.18392379581928253,
0.5048136711120605,
-0.0454929918050766,
0.2097422182559967,
-1.2189667224884033,
0.26799947023391724,
0.001546625280752778,
0.04725797101855278,
0.46511560678482056,
-0.4024648070335388,
-0.2556551694869995,
-0.497637540102005,
-0.1052268818020820... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
[EX Q]: Article: Pets are popular. The... | Yes
| 6 | NIv2 | task310_race_classification | fs_opt | [
0.4777202904224396,
0.6588298082351685,
-0.40912750363349915,
0.06138314679265022,
0.7504764795303345,
-0.7375531196594238,
0.3550262153148651,
0.7538892030715942,
-0.5155631303787231,
-0.06564308702945709,
-0.3361632823944092,
1.323094129562378,
-0.9513296484947205,
0.11416321247816086,
... |
Teacher:In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Teac... | 2, 6, 8, 12, 16, 22, 25, 26, 27 | 6 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
-0.256784051656723,
0.3681256175041199,
0.06676976382732391,
-0.9210285544395447,
0.1407240778207779,
-0.2792789041996002,
0.4607747197151184,
-0.0482809916138649,
-0.735647976398468,
0.15253843367099762,
-0.32854557037353516,
-0.09178382903337479,
-0.05471734330058098,
-0.3680692911148071... |
Teacher:You will be given a passage with an enumerated set of facts, a question of form 'Where is <person_name>?', and its answer. The task is to identify a supporting fact that is necessary to answer the question. The output would be the corresponding fact number.
Teacher: Now, understand the problem? Solve this insta... | Fact 6 | 6 | NIv2 | task084_babi_t1_single_supporting_fact_identify_relevant_fact | zs_opt | [
0.04408082365989685,
0.45090827345848083,
-0.5102893114089966,
-1.0123754739761353,
-0.7455890774726868,
-0.7047474384307861,
0.9853951930999756,
0.548297643661499,
-0.47530800104141235,
-0.03284703195095062,
-0.5347333550453186,
0.47345155477523804,
-0.8471665382385254,
0.0653347447514534... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Example Input: With an electric mixer on medium-high speed, beat butter and cream cheese until fluffy, 2 to 3 minutes., Reduce speed to ... | ground beef, cottage cheese, lasagna noodles, Parmesan cheese, water, spaghetti sauce, sour cream, Mozzarella cheese
| 3 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.18186573684215546,
-0.07491294294595718,
0.18848265707492828,
1.1314619779586792,
-0.018948063254356384,
-0.09953988343477249,
0.6322774291038513,
1.1234322786331177,
-0.7751412987709045,
0.2224021852016449,
0.20376425981521606,
-0.013817334547638893,
-0.0831746757030487,
-0.461859822273... |
Q: Given a scientific passage and an answer, generate a question for the given answer.
Passage: The goal of technology is to solve people’s problems. Therefore, the problems of society generally set the direction that technology takes. Technology, in turn, affects society. It may make people’s lives easier or healthier... | What generally sets the direction that technology takes? | 7 | NIv2 | task594_sciq_question_generation | zs_opt | [
-0.1390659213066101,
0.6873172521591187,
0.05008427053689957,
-0.8927017450332642,
0.7776809930801392,
-1.1382137537002563,
-0.4065333902835846,
0.719022274017334,
-0.32180100679397583,
-0.12352199107408524,
-0.1250365674495697,
0.23431983590126038,
-0.45908230543136597,
-0.014058621600270... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct ... | holding that evidence obtained from a search made subsequent to an illegal stop was admissible when before the search the police officer discovered that there was an outstanding arrest warrant for the defendant and the defendant was thereupon arrested pursuant to that warrant
| 0 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.3695388436317444,
0.3050271272659302,
-0.048500530421733856,
-0.11960594356060028,
0.49637719988822937,
-0.3492404520511627,
0.2278350293636322,
1.2234501838684082,
-0.23818263411521912,
-0.22659441828727722,
-0.26944682002067566,
0.3290872573852539,
-0.18795350193977356,
-0.128510922193... |
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix... | 24611978
| 3 | NIv2 | task1443_string_to_number | fs_opt | [
-0.6630092859268188,
1.3632137775421143,
-0.6419419050216675,
-1.0122089385986328,
-0.42803311347961426,
-0.14771026372909546,
0.7113491296768188,
0.2088511437177658,
-0.11392611265182495,
-0.4683838486671448,
-0.8130108118057251,
0.5461238026618958,
-1.0252807140350342,
-0.241642028093338... |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Somali sentence: Kanu waa eraygii Eebe wuxuu isticmaalaa waa "Hijaratin" oo macnihiisu yahay "Dhagaxyo" - iyo ogaansho Eebe waa run. | The word Allah uses is "Hijaratin" which means "stones" -- and the knowledge of Allah is the truth. | 0 | NIv2 | task450_opus_paracrawl_so_en_translation | zs_opt | [
-0.22114607691764832,
0.7038103342056274,
0.32939600944519043,
0.18261204659938812,
-1.0565059185028076,
-1.550111174583435,
1.0139245986938477,
0.8398750424385071,
0.5118285417556763,
-0.7878873944282532,
-0.7395281195640564,
0.6971086859703064,
-0.44758540391921997,
0.136824369430542,
... |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or ant... | Solution: Anti-stereotype | 5 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
0.11478404700756073,
0.4253711998462677,
-0.44699811935424805,
0.2782058119773865,
-0.0735180601477623,
-0.07742855697870255,
0.7619850039482117,
0.6243425607681274,
0.3050379455089569,
-0.7764668464660645,
-0.8983756899833679,
0.11793799698352814,
-0.7165215015411377,
-0.1944461613893509,... |
Detailed Instructions: 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 expa... | no | 4 | NIv2 | task361_spolin_yesand_prompt_response_classification | fs_opt | [
0.756354808807373,
0.3101024031639099,
0.36523765325546265,
0.27377650141716003,
0.07232653349637985,
-1.2779114246368408,
0.2618429660797119,
0.6771509647369385,
0.25623375177383423,
-0.1536446213722229,
-0.6253257989883423,
0.23796012997627258,
-0.3413674235343933,
0.28582775592803955,
... |
In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Example input: Coming from a xenophobic race that possesses the unique ability to pass among other species and chooses not to, the bounty... | Plural | 3 | NIv2 | task430_senteval_subject_count | fs_opt | [
-1.4260923862457275,
0.2937753200531006,
0.028573360294103622,
-0.23078495264053345,
-0.8115848302841187,
-0.40096738934516907,
0.5227677226066589,
0.131229430437088,
-0.280892938375473,
-0.5543900728225708,
-0.6245752573013306,
0.16260890662670135,
-0.7170490026473999,
0.19524121284484863... |
Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Input: E infatti queste sono molte delle comunità semi-deserte che si vedono oggi.
Output: | And in fact, these are many of the half-vacant communities that you see today. | 2 | NIv2 | task1247_ted_translation_it_en | zs_opt | [
-0.11348912119865417,
0.7184710502624512,
0.19288748502731323,
-0.33941859006881714,
0.029859255999326706,
-1.0095899105072021,
-0.06531350314617157,
0.8976503610610962,
0.10076051950454712,
0.10271334648132324,
-0.6588383316993713,
0.73014235496521,
-0.0751504972577095,
-0.032255887985229... |
Detailed Instructions: 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... | ab | 8 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
-0.03519262373447418,
0.48169204592704773,
0.016604242846369743,
-0.08243443816900253,
-0.15298299491405487,
-0.017246123403310776,
0.5851260423660278,
1.0271168947219849,
0.13848324120044708,
0.8059231638908386,
-0.026435192674398422,
0.18479403853416443,
-0.16945213079452515,
-0.30951812... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Whether we are talking about beef... | Ya se trate de la carne de bovino en el caso de Francia o de sobornos a la industria, no se debe permitir que los Estados miembros incumplan la ley. | 1 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
-0.20922759175300598,
0.623009443283081,
0.18657195568084717,
0.06616362929344177,
-0.14719894528388977,
0.12702830135822296,
0.47051578760147095,
0.9423577189445496,
-0.45444661378860474,
0.10896728932857513,
-0.37789005041122437,
-0.10447683930397034,
-0.5168676972389221,
-0.147906631231... |
In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a different connotation or meaning.
Sentence1: How can I get my eye to get better?... | Similar | 0 | NIv2 | task1645_medical_question_pair_dataset_text_classification | zs_opt | [
-0.6333618760108948,
0.35279199481010437,
0.013376589864492416,
-0.35936054587364197,
-0.06903912127017975,
-0.27166807651519775,
0.5241018533706665,
0.3824648857116699,
0.818636417388916,
0.059852443635463715,
-0.773861825466156,
-0.16674776375293732,
-0.6393463611602783,
0.69865530729293... |
Given an abstract of a paper, generate a title for this paper such that conveys the key focus of the paper.
Example Input: Abstract: Six subjects (25.3 +/- 3.3 yr, mean +/- SD) exercised for 60 min at 42 +/- 4 [low (L)], 55 +/- 6 [moderate (M)], and 67 +/- 4 %VO2max [high (H)] in a moderate environment. Sweat collecte... | Sensitive and specific assay for human chorionic gonadotropin (hCG) based on anti-peptide and anti-hCG monoclonal antibodies: construction and clinical implications.
| 3 | NIv2 | task619_ohsumed_abstract_title_generation | fs_opt | [
0.2319549173116684,
0.3877403140068054,
-0.7606467604637146,
-0.5019615292549133,
0.7994812726974487,
-0.4270697236061096,
0.31166237592697144,
0.6870006322860718,
0.16262082755565643,
-0.24047237634658813,
-0.3584050238132477,
0.20296497642993927,
-0.463911235332489,
0.19749665260314941,
... |
Definition: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Input: Juan howled a man the song
Output: | Juan howled the song to a man | 2 | NIv2 | task132_dais_text_modification | zs_opt | [
0.21164493262767792,
0.9056977033615112,
0.3165234625339508,
-0.5064008235931396,
0.27876895666122437,
-0.29480254650115967,
0.05823991447687149,
0.407884418964386,
-0.3784542679786682,
-0.7227894067764282,
-0.9623230695724487,
-0.2802043557167053,
-0.7157142162322998,
-0.22038550674915314... |
Detailed Instructions: The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in... | dykest of dykes | 8 | NIv2 | task1504_hatexplain_answer_generation | zs_opt | [
-0.5077865123748779,
1.1242334842681885,
0.2654880881309509,
0.33972740173339844,
-0.6506166458129883,
-1.079465627670288,
0.21830224990844727,
0.5290217399597168,
0.8673114776611328,
0.38277101516723633,
-0.3226357102394104,
0.3033936619758606,
-0.3006596267223358,
-0.6936864256858826,
... |
Q: Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Tagalog sentence: Hindi nilalaman sa teorya na ito na walang katibayan, siya suportado ito sa pamamagitan ng pagkakatulad sa mga korteng kono palawit.
A: | Not content with this theory without evidence, he supported it by analogy with the conical pendulum. | 7 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
0.08773244917392731,
0.6234184503555298,
0.3919859528541565,
0.1251351237297058,
-0.019587475806474686,
-0.7849377393722534,
0.9526405334472656,
0.9165334701538086,
-0.046308375895023346,
-0.7180167436599731,
-0.5146104693412781,
-0.21633608639240265,
-0.7023175358772278,
0.162708669900894... |
Definition: In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Input: I have always purchased Star-Kist tuna but thought I... | 3 | 2 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
-0.09246035665273666,
-0.5014721155166626,
0.22825945913791656,
0.14702418446540833,
0.38828474283218384,
0.037759121507406235,
0.9802564978599548,
0.4427502155303955,
-0.2975362539291382,
0.6315822005271912,
-0.4140859842300415,
0.06534545123577118,
-0.823532223701477,
0.04452144354581833... |
You will be given a definition of a task first, then some input of the task.
Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
चलो, मुझे मारो!
Output: | Go on, hit me! | 1 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
-0.0011696841102093458,
0.5118157863616943,
-0.15103672444820404,
0.6130189895629883,
0.11731813848018646,
0.009265577420592308,
0.13709959387779236,
0.2970782518386841,
-0.19029976427555084,
-0.34878867864608765,
-0.20541712641716003,
-0.2936795949935913,
-0.4280422627925873,
0.0727579742... |
Given the task definition and input, reply with output. In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: B... | True | 5 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
-0.3293510377407074,
0.45470869541168213,
-0.4759595990180969,
-0.023888835683465004,
-0.5213636159896851,
0.3457176685333252,
0.6520885229110718,
0.5212780833244324,
0.29759976267814636,
-0.24793918430805206,
-1.3460414409637451,
0.15479661524295807,
0.19019797444343567,
0.235632330179214... |
Detailed Instructions: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Problem:Question: Wa... | At the 2016 Wimbledon Championships he reached quarterfinals of the men's doubles tournament together with Peers and the final of the mixed doubles with Heather Watson, which they won in straight sets | 8 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
0.18236079812049866,
0.5135074853897095,
-0.9009051322937012,
-0.4120398461818695,
0.23003116250038147,
0.23099234700202942,
0.819713830947876,
0.42636561393737793,
0.6150528192520142,
-0.5902716517448425,
-0.25081539154052734,
1.8647618293762207,
-0.7771619558334351,
0.1966947615146637,
... |
Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of... | No | 9 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.4067235291004181,
0.5083121061325073,
0.13879123330116272,
-0.18175959587097168,
-0.44363662600517273,
-1.1046521663665771,
0.9359802007675171,
0.4920479655265808,
-0.42807525396347046,
-0.2056112140417099,
-0.32368457317352295,
0.0054559605196118355,
-0.6631802916526794,
0.3604552149772... |
Instructions: 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 stateme... | round_eq { sum { all_rows ; score } ; 12 } | 3 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.23700110614299774,
-0.027546223253011703,
-0.6207683086395264,
0.3666606545448303,
0.05802644044160843,
-0.4007180333137512,
0.45567482709884644,
0.5954760909080505,
0.07459130883216858,
-0.26831090450286865,
-0.23457813262939453,
0.012346354313194752,
-0.18099109828472137,
0.58249223232... |
Q: Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Letitia Wright
You may know her from: The AMC show âHumansâ and Decemberâs âBlack Mirrorâ finale on Netflix âBlack Museumâ... | Letitia Wright | 7 | NIv2 | task419_persent_answer_generation | zs_opt | [
-0.3173089027404785,
0.053284917026758194,
-0.9292521476745605,
-0.32098472118377686,
-0.0625835731625557,
0.01797189563512802,
0.8230206966400146,
0.7118768095970154,
0.7452036738395691,
0.01326213963329792,
0.1311013251543045,
0.7573562860488892,
-0.05710635334253311,
-0.4686209559440613... |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Two transit trains are pulled up at a station with pas... | English | 0 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | zs_opt | [
-0.12491254508495331,
0.2611159384250641,
0.2313368022441864,
0.04260966554284096,
0.07441213726997375,
-0.5111590623855591,
-0.14843207597732544,
-0.29189181327819824,
0.10814270377159119,
-0.6700553894042969,
-0.7726001739501953,
-0.3770292401313782,
0.01952660083770752,
-0.0894234031438... |
Detailed Instructions: Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the... | Undiagnosed infections may be causing a significant number of premature births, researchers reported on Monday after finding bacteria or fungi in 15 percent of the amniotic fluid samples taken from women in pre-term labor. | 8 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
0.566535472869873,
-0.0884254053235054,
-0.638962984085083,
0.1792285442352295,
-0.013088973239064217,
-0.6392508745193481,
-0.790791392326355,
1.2049301862716675,
-0.1599215865135193,
0.8559042811393738,
-0.2265486866235733,
0.5279585123062134,
-1.1094321012496948,
0.1904163658618927,
-... |
Part 1. Definition
Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable pr... | Un long raid vous ferait menacer de manger pour une coupe de cheveux. | 7 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | fs_opt | [
0.055112678557634354,
0.8989343047142029,
0.47281575202941895,
-0.4320717453956604,
0.3345572352409363,
-0.42517271637916565,
0.4295293688774109,
-0.10150439292192459,
-0.1888676881790161,
-0.504024863243103,
-0.6639986038208008,
-0.6317847967147827,
-0.23667611181735992,
0.147453069686889... |
Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Input: Category: FOOD & DRINK
Clue: Before the introduction of Diet Coke, this w... | tab | 3 | NIv2 | task307_jeopardy_answer_generation_final | zs_opt | [
-0.5034079551696777,
0.617426872253418,
0.12007568776607513,
-0.6938626170158386,
-0.3141884207725525,
0.490287184715271,
0.18206846714019775,
0.08555814623832703,
0.2724454998970032,
0.11449909210205078,
0.29042527079582214,
-0.6560579538345337,
-0.6356939077377319,
-0.13654717803001404,
... |
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.
Example: Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, ... | Solution: Don was carried out of the high class party on a stretcher. | 5 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
-0.24965022504329681,
1.2509536743164062,
0.1951681226491928,
-0.8686227798461914,
-0.1930723786354065,
-0.15777543187141418,
0.34299197793006897,
0.5432604551315308,
0.3776877224445343,
0.41515371203422546,
-0.5147302746772766,
-0.0241828765720129,
-0.6526591777801514,
0.1364591121673584,... |
Detailed Instructions: In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Problem:Says Gov. R... | state-budget | 8 | NIv2 | task613_politifact_text_generation | zs_opt | [
-0.3984665274620056,
0.5759198069572449,
-0.12303166091442108,
-0.37199607491493225,
0.05320987105369568,
-0.655744194984436,
0.05277157574892044,
0.22596770524978638,
0.435211181640625,
0.32359620928764343,
-0.33054596185684204,
0.3363093137741089,
-0.44363632798194885,
0.0769892781972885... |
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.
Comment: Obama traded 5 high level terrorists for this traitor.
Non-s... | Non-sexual-explicit
| 0 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.3665778934955597,
-0.10378514230251312,
0.12743081152439117,
0.5523885488510132,
0.245883047580719,
-0.14445027709007263,
0.24693776667118073,
0.6966694593429565,
0.035212647169828415,
0.9655838012695312,
-0.030398210510611534,
-0.05861436575651169,
-0.23953965306282043,
-0.742289066314... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Example Input: Emanują szczęściem. Jesteście zaskoczeni.
Example Output: 彼らは幸せに溢れていて驚かされます
Example Input: [Nauka dla ogólnego dobra] Wcześniej wierzono, że wiedza naukowa powinna służyć władcom lub zyskowi jednostki.
Examp... | それからラップトップに打ち始め合成音声に切り替えました
| 3 | NIv2 | task1257_ted_translation_pl_ja | fs_opt | [
-1.0445945262908936,
0.8062883615493774,
-0.349443644285202,
-0.44729918241500854,
-0.48085397481918335,
-0.9221676588058472,
0.8995444774627686,
-0.3881978392601013,
0.2622520625591278,
-0.7472311854362488,
-0.5150060653686523,
0.765630841255188,
-0.6205437779426575,
-0.16637906432151794,... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Example: The first two were found unreliable and the prosecution case rested mainly o... | प्रदूषणकारी उद्योगों की पैरोकारी ( कमजोर ) मानकों को चालू रखने के लिए प्रयासरत है पर्यावरणविद् और लोक स्वास्थ्य सलाहकार वैज्ञानिक सिफ़ारिशों के अनुपालन समर्थन के लिए जुटे हुए हैं। | 1 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.20809130370616913,
0.25121623277664185,
0.13226917386054993,
0.1563393771648407,
0.2385472059249878,
-0.2598426342010498,
-0.4762572646141052,
0.6632477641105652,
-0.016499213874340057,
-0.2589746415615082,
-0.8446247577667236,
-0.07996168732643127,
0.13706634938716888,
-0.07757368683815... |
Q: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Passage: Brink has recently taken Pud's (Bobs Watson) parents in an auto wreck... | Pud. | 7 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.3978428244590759,
1.2014803886413574,
0.17665229737758636,
-0.4361973702907562,
-0.12290647625923157,
-1.6221187114715576,
1.1240041255950928,
-0.0656697005033493,
-0.6195234656333923,
0.39589035511016846,
-0.7417460083961487,
0.5721381902694702,
-0.5912352800369263,
0.6053196787834167,
... |
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correc... | Excision.
| 1 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.4750906825065613,
0.6121976375579834,
-0.631466269493103,
0.19864681363105774,
-0.33056285977363586,
-0.6391369104385376,
0.4829871952533722,
0.746790885925293,
0.03948108106851578,
-0.05162022262811661,
-1.0781304836273193,
0.14483633637428284,
-1.2994980812072754,
0.24399256706237793,
... |
Detailed Instructions: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Problem:I hacked the heck out of the bracket and welded on another piece to make a custom mount for my Ham Radio faceplate. I... | positive | 8 | NIv2 | task1312_amazonreview_polarity_classification | zs_opt | [
-0.18681293725967407,
-0.46672120690345764,
0.737281858921051,
0.06517012417316437,
0.38131821155548096,
-0.2790048122406006,
1.0032072067260742,
0.45020246505737305,
-0.00426920410245657,
0.6644207239151001,
-0.4623064398765564,
-0.16712024807929993,
-0.5480970144271851,
-0.60749459266662... |
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".
One example is below.
Q: She shone her light around the space, following th... | Present | 9 | NIv2 | task429_senteval_tense | fs_opt | [
-0.5047034025192261,
1.0902374982833862,
0.17671003937721252,
-0.1755751669406891,
-0.028183061629533768,
0.059718113392591476,
0.7414050102233887,
0.85710608959198,
0.5574122071266174,
0.023904941976070404,
-0.41334086656570435,
0.12598466873168945,
-0.7570827007293701,
-0.131896764039993... |
You will be given a definition of a task first, then some input of the task.
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You m... | erosion | 1 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
-0.11727149039506912,
0.9671680927276611,
0.39828288555145264,
-0.5104721784591675,
-0.12649410963058472,
-0.7569382786750793,
0.5739917755126953,
0.43887433409690857,
-0.0783357322216034,
-0.5564302206039429,
-0.4442090392112732,
-0.5036883354187012,
-0.7883859872817993,
0.150794684886932... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Let me give you an example: 2, 3, ['a', '34', 'f', '931', '7', '... | 6239, 1393, 5759, Z | 8 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
-0.17438039183616638,
0.251666784286499,
-0.755233883857727,
-0.5138176083564758,
-0.4962841868400574,
0.07341686636209488,
0.42495641112327576,
-0.42580410838127136,
0.039688561111688614,
-0.1530935913324356,
-0.5775814056396484,
-0.19903795421123505,
-0.3763573169708252,
0.22089594602584... |
Instructions: 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) replace... | boty | 3 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.5942637920379639,
0.3280661702156067,
0.2059653401374817,
0.7287479639053345,
0.18769147992134094,
-1.2151005268096924,
1.0109477043151855,
0.2541726529598236,
0.2189025580883026,
-0.16399765014648438,
-0.37711381912231445,
-0.2143898755311966,
-0.17391972243785858,
-0.31425371766090393... |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th... | Where did the 2007 Gotham Screen Film Festival & Screenplay Contest and is where Madoff lives in NYC? | 6 | NIv2 | task184_break_generate_question | fs_opt | [
0.8852375745773315,
-0.09020574390888214,
-0.47304701805114746,
0.2329050451517105,
0.6742697358131409,
-0.2223333716392517,
0.7379335761070251,
0.5304045677185059,
-0.4596266746520996,
0.4069579839706421,
-0.11908840388059616,
0.6721017360687256,
-0.09363023936748505,
0.4514153301715851,
... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Let me give you an example: Dialogue 1: 'when did i called u ugly pony when did you ever call fuck ... | no | 8 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.28632962703704834,
0.18040746450424194,
0.4242796301841736,
-0.577147364616394,
-0.8029316663742065,
0.762808620929718,
0.9047995805740356,
-0.22757381200790405,
-0.38932281732559204,
-0.7608124017715454,
-0.20782369375228882,
-0.46619296073913574,
-0.20455653965473175,
-0.1136888563632... |
Part 1. Definition
You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same ... | entails | 7 | NIv2 | task1529_scitail1.1_classification | fs_opt | [
0.1615527868270874,
0.44330835342407227,
0.11878854781389236,
-0.6226643323898315,
0.23611760139465332,
-0.7065465450286865,
0.2557719349861145,
0.4443016052246094,
0.2674787640571594,
-0.5911154747009277,
-0.7874150276184082,
0.9187780618667603,
-0.7131887674331665,
0.24171051383018494,
... |
A text is given in Oriya. Translate it from the Oriya language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: Consider Input: ਬੱਸ ਵਾਲੇ ਨੂੰ ਕਹਿੰਦੇ ਹਾਂ ਕਿ ਬੱਸ ਸਟੇਸ਼ਨ ਬਣਾਓ । ਏਅਰ ਪੋਰਟ ’ਤੇ ਜਹਾਜ਼ ਆਉਂਦਾ ਹੈ, ਕੀ ਮੈਂ ਜਹਾਜ਼ ਵਾਲੇ ਨੂੰ ਕਹਿੰਦਾ ਹਾਂ ਕਿ ਏਅਰ ਪੋਰਟ ਬਣਾਓ, ਏਅਰ ਪੋਰਟ... | Output: ଆତ୍ମ ନିଯୁକ୍ତି ଉପରେ ଗୁରୁତ୍ୱ ପ୍ରଦାନ କରି ପ୍ରଧାନମନ୍ତ୍ରୀ କହିଲେ ଯେ ଏବେ ଆତ୍ମନିଯୁକ୍ତ ହେବା ଏକ ଗର୍ବର ବିଷୟ ଏବଂ ଏହା ପୂର୍ବରୁ ଅସମ୍ଭବ ମନେ ହେଉଥିବା ବିଷୟକୁ ଲୋକମାନେ ହାସଲ କରିବାରେ ସହାୟତା ପ୍ରଦାନ କରିଛି ।
| 2 | NIv2 | task1040_pib_translation_punjabi_oriya | fs_opt | [
-0.39216744899749756,
0.4710726737976074,
-0.4219735860824585,
0.03264408931136131,
-0.11559611558914185,
-0.419391393661499,
0.7221612930297852,
0.7228750586509705,
0.15391656756401062,
0.17288056015968323,
-1.007446050643921,
-0.20672577619552612,
-0.35970503091812134,
-0.070830836892127... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
این است نگارگرى الهى؛ و کیست خوشنگارتر از خدا؟ و ما او را پرستندگانیم.
Output: | We have taken the colouring of God; and whose shade is better than God's? Him alone we worship. | 1 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-1.0181617736816406,
0.5690392255783081,
0.3729599118232727,
-0.16652551293373108,
-0.30591264367103577,
-0.0928695797920227,
0.48062384128570557,
0.17836368083953857,
0.6011761426925659,
0.19981464743614197,
-0.7802063226699829,
0.3103283643722534,
0.12929651141166687,
0.7799866795539856,... |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
ช่วงสิบปีแรกเธอต้องแข่งขันกับรายการทอร์คโชว์อื่น โดยพูดถึงเรื่องความสัมพันธ์ของผู้คนและเรื่องราวที่เกี่ยวข้อง
最初の10年間、彼女は他のトークショーと競い合って、お互いの関連性や似通った話... | バーバロは、2006年のプリークネス・ステークスの始まった直後、右後脚に大きな怪我を負った。
| 0 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
0.22765189409255981,
-0.2105288803577423,
-0.3740009069442749,
0.5865820050239563,
0.03397715091705322,
-0.17995357513427734,
1.2269940376281738,
-0.13022860884666443,
-0.3552674651145935,
0.3294675946235657,
-0.07370336353778839,
0.6487574577331543,
-0.731702983379364,
0.6849488019943237,... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For ... | None | 8 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
-0.07403206825256348,
0.20118214190006256,
0.1428440809249878,
-0.42602136731147766,
0.37881773710250854,
-0.0016719195991754532,
0.510364294052124,
0.5231547355651855,
0.007999720051884651,
-0.16810207068920135,
-0.14613187313079834,
0.18330249190330505,
-0.5167399048805237,
0.43302330374... |
Teacher:In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences ... | 53 | 6 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.8244021534919739,
0.4173734188079834,
0.23780709505081177,
-0.7131679058074951,
0.004362748470157385,
-0.06687932461500168,
0.35464149713516235,
0.8278753757476807,
0.22497981786727905,
-0.12114414572715759,
-0.7835224270820618,
-0.3418819308280945,
-0.5166923999786377,
-0.3918116092681... |
Detailed Instructions: In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
See one example below:
Problem: Article: ... | . It seems that the argument over the value of MBA degrees had been fueled mainly by _ . | 4 | NIv2 | task649_race_blank_question_generation | fs_opt | [
-0.16227923333644867,
0.38607257604599,
-0.18240074813365936,
-0.3463479280471802,
0.6638871431350708,
-0.0890609472990036,
0.6885251998901367,
0.6450309753417969,
0.16402587294578552,
-0.016894739121198654,
-0.21178632974624634,
0.38787299394607544,
-0.06283947825431824,
0.296485483646392... |
You will be given a definition of a task first, then some input of the task.
Given a passage with a context and an answer, 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 answe... | Is amphetamine-induced activation of forebrain EEG prevented by noradrenergic beta-receptor blockade in the halothane-anesthetized rat? | 1 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
1.2640361785888672,
-0.4660850763320923,
0.5125083923339844,
0.09720461815595627,
0.20805683732032776,
-1.3302816152572632,
0.7252427339553833,
0.6756415367126465,
0.43300461769104004,
-0.10065212100744247,
-0.7641427516937256,
0.3488379716873169,
-0.47480982542037964,
-0.42351776361465454... |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Example Input: Somali sentence: Maanta waxaan ku qori article ah oo ku saabsan Clash Royale Hack Without Human Verification .
Example Output: Today we write an article about Clash Royale ... | 12:17 And David went out to meet them, and he said: “If you have arrived peacefully, so as to be a help to me, may my heart be joined to you; but if to betray me to my adversaries, though I have no iniquity in my hands, may the God of our fathers see and judge.”
| 3 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
-0.4679166376590729,
0.7732013463973999,
-0.37624889612197876,
-0.31924793124198914,
-0.1750597357749939,
-0.9037988185882568,
0.9351595044136047,
0.49997544288635254,
0.5919646620750427,
0.10234060138463974,
-0.04677650332450867,
1.1940863132476807,
-0.9785454869270325,
-0.382986396551132... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Q: Słuchaj.
A: | E ascolta. | 4 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.25036388635635376,
1.2361418008804321,
-0.2369917333126068,
-0.25892525911331177,
-0.5310725569725037,
-0.37630128860473633,
0.43720000982284546,
-0.5445777773857117,
0.4259409010410309,
-0.3919057250022888,
-0.2042795568704605,
0.4284489154815674,
-0.24367645382881165,
0.44323071837425... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in Persian, and your task is to translate it into English.
۵۲٪ از کاربران رایانه دارای دانش رایانهای هستند.
Solution: 52% of computer users are Internet liter... | Mir Hossien Mousavi, 2009. Source: Sabzintan blog. Used with permission. | 0 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-0.913421630859375,
0.592464804649353,
-0.15986225008964539,
-0.11865231394767761,
-0.37083008885383606,
0.25472378730773926,
1.0667533874511719,
0.34307581186294556,
1.0316824913024902,
0.43868914246559143,
-0.49198460578918457,
0.25723838806152344,
-0.17127233743667603,
0.495330631732940... |
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 | task1201_atomic_classification_xintent | fs_opt | [
0.6697289943695068,
-0.06476947665214539,
-0.18481096625328064,
0.3870029151439667,
-0.08784723281860352,
-0.9306683540344238,
1.3691234588623047,
0.7198624610900879,
-0.5116260051727295,
-0.146672785282135,
-0.6895385980606079,
0.16114205121994019,
-1.1739521026611328,
-0.2286747992038726... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Polish.
Problem:I was fascinated by this phenomenon, so I wondered: could one erase the image of Diana, actually quite crudely and physically?
Solution: | Ten fenomen mnie zafascynował. Więc zaczęłam się zastanawiać: czy można fizycznie usunąć wizerunek Diany? | 8 | NIv2 | task1092_ted_translation_en_pl | zs_opt | [
-0.20794880390167236,
1.0053794384002686,
-0.024206848815083504,
-0.1227525919675827,
-0.7506592869758606,
-1.0696804523468018,
0.6106384992599487,
0.44652149081230164,
0.6258189082145691,
0.00491683091968298,
-0.253458172082901,
0.34855273365974426,
-0.6833232641220093,
-0.108943760395050... |
Detailed Instructions: In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Problem:Article: The common cold is the w... | The fact that the Eskimos don't suffer colds shows that _ . | 8 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.8199085593223572,
0.6394407749176025,
-0.8689122796058655,
-0.19079190492630005,
0.6502705812454224,
-0.9860079288482666,
0.5551801919937134,
0.3603312373161316,
-0.3221317529678345,
-0.5134063363075256,
-0.35635456442832947,
0.4805339276790619,
-1.2819745540618896,
0.8039416670799255,
... |
Instructions: In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Input: Dialogue 1: 'please stop seriously why should i tell you please tell me if you ... | yes | 3 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.4532562792301178,
-0.06792669743299484,
-0.08951033651828766,
-0.38892626762390137,
-0.6931308507919312,
0.022003062069416046,
0.8741478323936462,
-0.2780166268348694,
0.495494544506073,
-0.20443376898765564,
0.013453873805701733,
-0.34586039185523987,
-0.2696802616119385,
0.40757894515... |
Teacher:Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: สนามกีฬาโอลิมเปียโบราณ อันเป็นที่เกิดของมหกรรมกีฬาโอลิมปิกก็ถูกคุกคามโดยเปลวเพลิง แ... | オリンピックの発祥地である古代オリンピアにも脅威が及んだが、消防士はこの場所の安全を守った。 | 6 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.3343653082847595,
0.35880497097969055,
-1.0849049091339111,
-0.1791345775127411,
-0.17389953136444092,
-1.2156723737716675,
0.2812833786010742,
0.6069133877754211,
0.13512279093265533,
-0.722751796245575,
-0.7695987224578857,
0.6579152345657349,
-0.9645532965660095,
0.49247533082962036,... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
--------
Question: My dad would be so proud. Drink that Jack Daniels love u dad
Answer: positive
Question: Thank you for the #ff @medic_ray @mosaicmuse... | negative
| 7 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.544696569442749,
0.07102714478969574,
0.5344558954238892,
0.296966552734375,
0.15692725777626038,
-0.6237591505050659,
0.2787744104862213,
0.16302914917469025,
0.6300936937332153,
0.5890629291534424,
-0.6896531581878662,
-0.7128024101257324,
-0.7245064973831177,
-0.7255132794380188,
-... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , a... | Date.
****
| 4 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.6246457099914551,
-0.1650105118751526,
-0.16887104511260986,
0.35309651494026184,
-0.2534199059009552,
-1.231879711151123,
0.7768608331680298,
0.6722443699836731,
-0.5446244478225708,
-0.08281353116035461,
-0.6092621088027954,
0.4187757968902588,
-0.17054972052574158,
0.13877542316913605... |
In this task, given a sentence in the English language, your task is to convert it into the Hindi language.
Q: The internationally-focused newscast created a stir upon its launch in 1999, but has since expanded with online viewers in 172 nations.
A: | अंतर्राष्ट्रीय स्तर पर केंद्रित न्यूज़कास्ट ने 1999 में अपने लॉन्च पर हलचल मचा दी थी, लेकिन तब से ऑनलाइन दर्शकों के साथ 172 देशों में विस्तार किया है। | 4 | NIv2 | task558_alt_translation_en_hi | zs_opt | [
-0.13204923272132874,
0.38616371154785156,
0.3631863594055176,
0.04484464228153229,
0.12109135091304779,
0.27995777130126953,
-0.023641305044293404,
0.4374663233757019,
0.12431222200393677,
-0.014996778219938278,
-0.5459254384040833,
0.4976871609687805,
-0.5152825117111206,
0.2644432187080... |
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
One example is below.
Q: Problem: walking at 5 / 6 th of its usual speed a cab is 15 mnts late . find its usual time to cover the journey ?
Options: a ) 25 m , b ) 45 m , c ) 32 m... | c | 9 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.5514336824417114,
0.5208661556243896,
0.05243600904941559,
-0.18005359172821045,
-0.5733278393745422,
-0.11925659328699112,
0.23111242055892944,
0.6917109489440918,
-0.1904575377702713,
-0.14111052453517914,
-0.930560827255249,
0.03568157181143761,
0.3287314176559448,
-0.1391986906528473... |
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