inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Instructions: 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".
Input: Review: This was an absolutely terrible movie.... | yes | 3 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.5830355286598206,
-0.04129885882139206,
-0.027445588260889053,
0.23074503242969513,
0.20708703994750977,
-0.25977200269699097,
0.12041744589805603,
1.2610623836517334,
0.21903744339942932,
0.2055858075618744,
-0.5895717740058899,
-0.5456316471099854,
0.12240402400493622,
-0.562445878982... |
TASK DEFINITION: Given a comment text in Malayalam, classify the comment into one of these categories (i) Hope speech, (ii) Not Hope Speech or (iii) Not in Expected Language. A hope speech contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
PROBLEM: I l... | Not Hope Speech
| 8 | NIv2 | task681_hope_edi_malayalam_text_classification | fs_opt | [
-0.32647186517715454,
-0.06242198497056961,
0.29696011543273926,
-0.01797308214008808,
-0.01650894433259964,
-0.19402006268501282,
-0.2334221750497818,
0.9624702334403992,
-0.4945560395717621,
0.2912689447402954,
-0.6068639755249023,
-0.24779558181762695,
-0.29831209778785706,
-0.336205899... |
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.
గొర్రెలు కోసం చూడండి! | Watch out for the sheep! | 0 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
-0.34372925758361816,
0.8418993353843689,
0.8828356266021729,
0.8213955760002136,
0.19831062853336334,
-0.1725006401538849,
0.4270099997520447,
-0.177453875541687,
-0.11841621994972229,
-0.9554283022880554,
-0.47692424058914185,
0.27592429518699646,
-0.7717399597167969,
0.37686887383461,
... |
Detailed Instructions: This task is about translating a given Spanish language sentence to English.
Problem:Es a mitad de camino entre el retorno de Amazon y el retorno de la Boeing.
Solution: | It's half way between the return on Amazon and the return on Boeing. | 8 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.3264622092247009,
0.49991706013679504,
0.6057306528091431,
-0.5039995908737183,
-0.08892984688282013,
0.2732584476470947,
0.9073227047920227,
0.7624073028564453,
-0.08054870367050171,
0.3268511891365051,
0.08855640888214111,
0.4098193049430847,
0.15140029788017273,
0.19564688205718994,
... |
Given the task definition and input, reply with output. In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
Question: Harold... | We can say that resistance and current in an electric circuit areinversely proportional, because as the one increases, the other decreases, and vice versa. | 5 | NIv2 | task223_quartz_explanation_generation | zs_opt | [
-0.5025324821472168,
0.8249615430831909,
0.09338334202766418,
-0.6830742359161377,
0.16736197471618652,
-0.8104920983314514,
0.9232283234596252,
0.8899049758911133,
-0.15129078924655914,
-0.10187318921089172,
-0.8885318040847778,
-0.02165800891816616,
-0.6677905917167664,
-0.13308262825012... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choi... | Output: bc
| 2 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
0.261137992143631,
0.4555771052837372,
-0.6065547466278076,
0.3647083342075348,
0.12957246601581573,
-0.41416049003601074,
0.18943631649017334,
1.044336199760437,
-0.7772075533866882,
0.7579398155212402,
-0.4665447175502777,
-0.22269482910633087,
-0.38289958238601685,
-0.19702044129371643,... |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
じゃあまたね
A: | سأقول وداعا الآن. | 7 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
-0.2508677840232849,
0.39667272567749023,
-0.0634511336684227,
-0.4387713074684143,
0.015781143680214882,
0.708882749080658,
0.574282169342041,
0.10946297645568848,
-0.06311772763729095,
-0.2971722185611725,
-0.4345978796482086,
-0.3481147289276123,
-0.8452320098876953,
0.1978265941143036,... |
In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form. The output ... | Output: Torí pé àwọn ọ̀rọ̀ inú ẹ̀ ò le, ó sì rọrùn láti lóye, ẹni tó ń kà á kò ní fẹ́ fi í sílẹ̀ kó lè mọ ohun tó ṣẹlẹ̀ tẹ̀ lé e.” Àwọn Ẹlẹ́rìí Jèhófà tó wà lórílẹ̀-èdè Czech Republic ju ẹgbẹ̀rún márùndínlógún (15,000) lọ, àwọn Ẹlẹ́rìí tó wà ní Slovakia sì ju ẹgbẹ̀rún mọ́kànlá (11,000) lọ, gbogbo wọn ló sì máa gbádùn B... | 2 | NIv2 | task1619_menyo20k-mt_en_yo_translation | fs_opt | [
-0.1734699159860611,
0.2845700681209564,
-0.05570731312036514,
0.35402369499206543,
0.520492434501648,
0.11305345594882965,
-0.02335716225206852,
0.7482857704162598,
0.3394887149333954,
-0.19454729557037354,
-0.22205516695976257,
0.2811936140060425,
-0.39337244629859924,
0.2951641082763672... |
instruction:
In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Y... | [9, 10]
| 9 | NIv2 | task098_conala_list_intersection | fs_opt | [
0.5252649188041687,
0.06056669354438782,
-0.5231447219848633,
-0.3636106252670288,
0.17744654417037964,
-0.22378948330879211,
0.7964138984680176,
0.6794090270996094,
-0.20291391015052795,
0.22922438383102417,
-0.9479226469993591,
-0.44173580408096313,
-0.49033859372138977,
0.07566116750240... |
Detailed Instructions: In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Q: English: There seems to be remarkable consensus in the House today but I would like to make a few point... | No | 9 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
-0.26658886671066284,
0.7834274768829346,
0.06027533859014511,
0.09021076560020447,
-0.020654452964663506,
-1.4057409763336182,
0.49634307622909546,
0.856635332107544,
-0.37163829803466797,
0.03605838492512703,
0.12709149718284607,
0.49383699893951416,
-0.5045583248138428,
-0.4304408729076... |
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 .
Q: Statement: पाण्याचा वेग हा त्याच्या वाहणाऱ्या आकारमानानुसार क्युसेकमध्ये- (क्युबिक मीटर पर सेकंद) एका सेकंदात क... | काठ | 4 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
0.5764122605323792,
1.0001904964447021,
-0.5517275333404541,
0.007001842372119427,
-0.3453000783920288,
-1.2452902793884277,
-0.20791390538215637,
0.548240065574646,
-0.46584653854370117,
-0.11245708167552948,
0.2731941044330597,
-0.23262232542037964,
-0.16083283722400665,
-0.3450363278388... |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
Example: در ابتدا، خدا آسمانها و زمین را آفرید.
Example solution: In the beginning God created the heaven and the earth.
Example explanation: This is a good example. The above sentence is correctly translate... | Solution: And on the eighth day he shall take to him two turtledoves, or two young pigeons, and come before the LORD unto the door of the tabernacle of the congregation, and give them unto the priest: | 5 | NIv2 | task654_bible_fa_en_translation | fs_opt | [
-0.7929332852363586,
1.4918218851089478,
-0.448133647441864,
-0.31131255626678467,
-0.6027103662490845,
-0.40754032135009766,
0.5789089202880859,
0.6292106509208679,
0.29702115058898926,
0.18571791052818298,
-0.9419753551483154,
0.6166973114013672,
-0.8427920341491699,
-0.14516273140907288... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: Consider Input: سرورم چي کار مي کنه?
Output: what is his royal highness doing?
Input: Consider Input: جهنم تغييرات .
Output: hell of a change .
Input: Consider Input: خيلي تلاش كردم تا از اون تپه عبور كنيم .
... | Output: it took a whole lot of tryingjust to get up that hill. .
| 2 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
-0.8948259353637695,
0.9198589324951172,
-0.6182658076286316,
0.06759746372699738,
-0.34020453691482544,
-0.2727844715118408,
0.1695820540189743,
0.5188361406326294,
0.29190710186958313,
-0.6685589551925659,
-0.40083205699920654,
-0.16015088558197021,
-0.2734123468399048,
-0.12679065763950... |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
One example is below.
Q: Sentence1:i need a place to dine in the center thats expensive Sentence2: I have several options for you; do you prefer African, Asian, or British food? Sentence3: A... | Answer: (A) User | 9 | NIv2 | task638_multi_woz_classification | fs_opt | [
0.5401025414466858,
0.41666391491889954,
-0.569506824016571,
-0.141337051987648,
0.11222149431705475,
-0.8823854923248291,
0.08169914782047272,
0.659115195274353,
-0.27316296100616455,
-0.10760902613401413,
-0.193918839097023,
-0.24262966215610504,
-0.34508925676345825,
0.09209686517715454... |
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
1022 aggiunta 3889 sottraz... | -9861
| 0 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
-0.22587376832962036,
0.6980315446853638,
-0.4990611970424652,
-0.17518462240695953,
-0.5982538461685181,
-0.716012716293335,
0.5165037512779236,
0.7109010815620422,
0.1857948750257492,
-0.5402024984359741,
-1.127244472503662,
-0.5857983827590942,
-0.47174176573753357,
0.44920676946640015,... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: Consider Input: تظاهراتی سراسری توسط گروههای اسلامی به رهبری جبهه اسلامی بحثبرانگیز پمبلا (FPI)، دولت را مجبور کرد از برگزاری مراسم مسابقات دختر شایسته ۲۰۱۳ در پایتخت اندونزی، جاکارتا، صرف نظر کند.
Output: Photo... | Output: So by trespassing into their habitat we violate their rights.
| 2 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
0.19003450870513916,
0.48871052265167236,
0.18967175483703613,
0.1595250815153122,
-0.3007087707519531,
-0.5134439468383789,
0.15905418992042542,
0.31525665521621704,
0.03316996246576309,
1.0847282409667969,
-1.1588079929351807,
1.119542121887207,
-0.8922393918037415,
-0.35529452562332153,... |
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.
Q: Context: @MarcelHirscher might have... | who stole the candy from marcel hirscher? | 4 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-1.1461284160614014,
0.5612536072731018,
0.20831957459449768,
-0.29344266653060913,
-0.2935178875923157,
-0.33033287525177,
-0.1655116081237793,
0.28281548619270325,
0.023504693061113358,
-0.5218718647956848,
-0.3396591544151306,
0.6523515582084656,
-0.8457189202308655,
0.48329901695251465... |
Definition: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Input: Scotland may have ground to a halt in the snow but that doesn't stop ... | Special Operation team keeps ambulance fleet moving | 2 | NIv2 | task1358_xlsum_title_generation | zs_opt | [
0.033914681524038315,
0.8287308812141418,
-0.12871327996253967,
-0.7800694108009338,
0.09169645607471466,
-0.981022834777832,
0.5172479152679443,
0.0870380625128746,
-0.027736661955714226,
-0.01596006006002426,
-0.576397180557251,
1.0264289379119873,
-0.335132360458374,
0.10475300997495651... |
You will be given a definition of a task first, then some input of the task.
This task is about translating a given English language sentence to Spanish.
I hope you can see it.
Output: | Espero que usted puede verlo. | 1 | NIv2 | task1691_qed_amara_translation | zs_opt | [
-0.19558197259902954,
0.5594659447669983,
0.042921051383018494,
0.11872055381536484,
0.26847541332244873,
-0.43141424655914307,
-0.029953792691230774,
1.1576913595199585,
0.4791143536567688,
-0.523464560508728,
-0.054263848811388016,
0.11756101995706558,
-0.37362220883369446,
-0.2132633030... |
Given the task definition and input, reply with output. Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
ບໍ່ມີໃຜໃນລົດເມບາດເຈັບ ແລະ ວົງດົນຕີ ໄດ້ປ່ຽນຕາຕະລາງການສະແດງ ເປັນເດືອນກັນຍາ ຈາກຜົນຂອງເຫດການດັ່ງກ່... | バスの乗客にけが人はなく、バンドは事故の結果、九月のショーの予定を変更した。 | 5 | NIv2 | task1125_alt_lo_ja_translation | zs_opt | [
-0.4074458181858063,
0.33184099197387695,
-0.6635503768920898,
0.13395708799362183,
-0.11443334817886353,
-0.2420051544904709,
0.638311505317688,
0.34059128165245056,
-0.06071792542934418,
-0.7141001224517822,
-0.2892347574234009,
0.7028765678405762,
-0.460563600063324,
0.5316219329833984,... |
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguish... | dinosaurs.
| 3 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.3613792955875397,
0.4041021764278412,
-0.4551849961280823,
0.8594794869422913,
0.013225892558693886,
-1.5326441526412964,
0.21416877210140228,
0.6603033542633057,
-0.6765824556350708,
-0.15984711050987244,
-0.6168023943901062,
0.04178991913795471,
-0.888451099395752,
0.34843021631240845,... |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | when i hear you i feel like tell you the truth when i see you i feel like scream out loud when i see your eye i feel like dream i only wounder if you feel the same for me because you fill my heart with love and make me laugh with joy my name be a flower name and your name be what i feel
| 6 | NIv2 | task1711_poki_text_generation | fs_opt | [
-0.6733442544937134,
0.9241032600402832,
-0.22855892777442932,
-1.0939624309539795,
-0.5140383243560791,
-0.04222949966788292,
0.2919306755065918,
0.688717246055603,
0.02993933856487274,
-0.4714287519454956,
-0.13893215358257294,
-0.24601322412490845,
-0.4802049398422241,
0.180575564503669... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Problem:By implementing a superior process, what was otherwise a task for 40 people over three months became a simple job for three people in 40 hours, all victories for human-computer symbiosis.
Solu... | Mediante la implementación de un proceso superior, lo que habría sido una tarea para 40 personas durante 3 meses, se volvió un trabajo simple para 3 personas en 40 horas, todas victorias de la simbiosis humano-computadora. | 8 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
-0.8974219560623169,
0.1466621607542038,
-0.8021570444107056,
-0.2213512361049652,
-0.5993877053260803,
0.3193487823009491,
-0.20047752559185028,
0.8339540958404541,
0.7818804979324341,
-0.36121347546577454,
-0.06207560375332832,
0.2193719446659088,
0.3796923756599426,
-0.084853395819664,
... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC... | NNP | 0 | NIv2 | task347_hybridqa_incorrect_answer_generation | zs_opt | [
0.29926079511642456,
0.5738835334777832,
-0.034996241331100464,
0.48299145698547363,
0.2880666255950928,
-0.45815157890319824,
0.5775597095489502,
0.6615985631942749,
-0.08374301344156265,
-0.09347358345985413,
-0.5558186769485474,
0.10676899552345276,
-0.7648627758026123,
-0.1598763018846... |
In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negativ... | 57.524 | 0 | NIv2 | task095_conala_max_absolute_value | zs_opt | [
0.4075705409049988,
0.3448328375816345,
-0.060716427862644196,
0.45210736989974976,
0.14522843062877655,
-0.407027006149292,
0.835331916809082,
1.2854344844818115,
-0.019087856635451317,
-0.12145537883043289,
-0.5535318851470947,
-0.364105761051178,
-0.082161083817482,
-0.0952800065279007,... |
Given the task definition and input, reply with output. Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the ... | Yes | 5 | NIv2 | task1439_doqa_cooking_isanswerable | zs_opt | [
0.5957157611846924,
-0.047668494284152985,
0.5786350965499878,
1.1542222499847412,
0.20492064952850342,
-0.18389183282852173,
-0.2354908287525177,
0.5700146555900574,
-0.5130378007888794,
0.6673405170440674,
0.4625704884529114,
-0.10943961143493652,
-0.671712338924408,
1.1143176555633545,
... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Example: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Output: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و در... | همش می گم ، "" نترا ، تو در گذشته زندگی می کنی در حالیکه من آینده را خلق می کنم همش می گم ، "" نترا ، تو در گذشته زندگی می کنی در حالیکه من آینده را خلق می کنم و وقتی کارم تمام شد ، تو می تونی درموردش بخونی. "" و وقتی کارم تمام شد ، تو می تونی درموردش بخونی. "" (خنده حاضرین) او لبخندی از روی گذشت به من زد ٬ و بعنوان تب... | 1 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
0.3500366508960724,
1.116490364074707,
-0.1808483898639679,
0.05276001617312431,
-0.23501671850681305,
-0.06529666483402252,
0.8129875063896179,
0.354701429605484,
0.10871565341949463,
-0.4361703097820282,
-1.0590412616729736,
0.19957104325294495,
-0.6924110651016235,
0.09563763439655304,
... |
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 the even... | Yes | 3 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.32704585790634155,
0.6067411303520203,
0.3545490801334381,
-0.3612320125102997,
-0.45295971632003784,
-0.9557225704193115,
1.007790207862854,
0.12750044465065002,
-0.4693911075592041,
-0.4565158784389496,
-0.31720471382141113,
-0.19069400429725647,
-0.5310742259025574,
0.0719093233346939... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
See one example below:
Problem: Gracias.
Solution: Grazas.
Explanation: The Spanish sentence is correctly translated into Galician, because the meaning is preserved.
Problem: Tal vez estamos listos ... | Quizais xa esteamos preparados para algo, literal e figuradamente, máis cultivado. | 4 | NIv2 | task1100_ted_translation_es_gl | fs_opt | [
-0.6600520014762878,
0.9383867979049683,
0.4652031362056732,
-0.3790639042854309,
-0.012470541521906853,
-1.82027268409729,
0.00902806781232357,
1.0799498558044434,
-0.25466662645339966,
0.007973425090312958,
-0.8069579601287842,
0.20473667979240417,
-0.9748238325119019,
0.3321008682250976... |
The provided file includes inquiries about restaurants in Finnish, and we ask you to translate those to English language. Please bear in mind the following guidelines 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 for... | what 's the telephone number of the " arby 's " on " sherman in muskegon , mi " ? | 8 | NIv2 | task254_spl_translation_fi_en | fs_opt | [
-0.3429027497768402,
0.497110515832901,
0.1843937635421753,
-0.23117166757583618,
0.20748084783554077,
-0.2926867604255676,
0.49206820130348206,
0.8982452750205994,
-0.38391774892807007,
-0.4749741554260254,
0.23946985602378845,
1.0438750982284546,
-0.5246201753616333,
0.8266109824180603,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
[EX Q]: それはこれまで人類が少なくとも 29回アップグレードしてきたからです
[EX A]: Ponieważ do tej pory było co najmniej 29 takich udoskonaleń humanoidów.
[EX Q]: ファッション業界では知的財産保護はほとんど存在しません
[EX A]: Świat mody w niewielkim stopniu chroni własność intel... | Nawet badania nad współpracą wykazują, że współpraca między jednostkami pobudza centra nagrody w mózgu.
| 6 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
-0.9054603576660156,
0.09136555343866348,
-0.09978517889976501,
-0.37830597162246704,
-0.936265230178833,
-0.9484014511108398,
0.6751916408538818,
-0.26911991834640503,
-0.05615353211760521,
-1.2632197141647339,
-0.497093141078949,
0.7232433557510376,
-0.7227829098701477,
0.481654405593872... |
Teacher: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Teacher: Now, understand the problem? If you are still confused, see the following example:
Alonzo feels angry.
Solution: male
Reason:... | female | 2 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.8216696977615356,
0.23217573761940002,
-0.25618910789489746,
-0.5429267883300781,
-0.20264993607997894,
-0.6354097127914429,
0.6034155488014221,
0.39763304591178894,
0.300074964761734,
-0.273736834526062,
-0.5277628898620605,
-0.2614067792892456,
-0.9296372532844543,
-0.3930370807647705... |
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 commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majorit... | aggregation | 0 | NIv2 | task212_logic2text_classification | fs_opt | [
0.1542014479637146,
-0.4218807816505432,
-0.43178072571754456,
0.41457831859588623,
0.48998475074768066,
-0.40773940086364746,
0.9419938325881958,
0.6824229955673218,
0.22885169088840485,
-0.08351188898086548,
-0.04980798065662384,
0.11501605808734894,
0.02712971344590187,
0.53134632110595... |
Teacher:Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: 台湾の巨大電子企業フォックスコンは、今年、従業員１０人の自殺、２人の自殺未遂の後、評判を回復するために動き始めた。
Student: | ฟ็อกซ์คอนน์ บริษัทอิเล็กทรอนิกส์รายใหญ่ของประเทศไต้หวัน ได้ย้ายไปเพื่อรักษาชื่อเสียงของบริษัทหลังจากที่ลูกจ้างบริษัทสิบคนฆ่าตัวตายปีนี้ และอีกสองคนที่รอดชีวิตจากการพยายามฆ่าตัวตาย | 6 | NIv2 | task1127_alt_ja_th_translation | zs_opt | [
-0.35208380222320557,
-0.12533454596996307,
-0.12821966409683228,
-0.9534791707992554,
-0.0094278734177351,
-0.2903541326522827,
0.7201835513114929,
0.8254513740539551,
-0.41810309886932373,
0.36633890867233276,
-0.07499556243419647,
0.2636525630950928,
-0.499819815158844,
0.07921563088893... |
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_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK
| 7 | NIv2 | task130_scan_structured_text_generation_command_action_long | fs_opt | [
0.255148321390152,
0.7167615294456482,
-0.37116414308547974,
0.2536568343639374,
0.09854616969823837,
-0.17317752540111542,
0.39578768610954285,
0.354852557182312,
-0.21488457918167114,
0.025268562138080597,
-1.081376075744629,
0.03249143809080124,
-0.571100115776062,
-0.14498332142829895,... |
Detailed Instructions: Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
See one example below:
Problem: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
L... | Yes | 4 | NIv2 | task1126_alt_ja_lo_answer_generation | fs_opt | [
-0.8597079515457153,
-0.29200980067253113,
-0.2674308121204376,
0.101173534989357,
-0.11934415251016617,
-0.35633671283721924,
0.3086637854576111,
0.6092202067375183,
-0.5691660642623901,
-0.46079131960868835,
-0.24269582331180573,
0.9889488220214844,
0.25307559967041016,
0.681871533393859... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be 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 ru... | holding an inducement to commit a crime by a private party who has no government involvement does not establish an entrapment defense | 0 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.8383282423019409,
0.3009186089038849,
-0.002393807051703334,
0.020550092682242393,
0.5299022197723389,
-0.8074745535850525,
0.49358999729156494,
1.214940071105957,
-0.644930362701416,
0.18005207180976868,
-0.5563280582427979,
0.24045462906360626,
-0.6013809442520142,
-0.02530550956726074... |
Detailed Instructions: Given a scientific passage and an answer, generate a question for the given answer.
Problem:Passage: Cervical Vertebrae Typical cervical vertebrae, such as C4 or C5, have several characteristic features that differentiate them from thoracic or lumbar vertebrae (Figure 7.25). Cervical vertebrae ha... | Compared to thoracic and lumbar types, the cervical type of what structures carry the least amount of body weight? | 8 | NIv2 | task594_sciq_question_generation | zs_opt | [
0.8865326642990112,
0.5545141696929932,
-0.5930773615837097,
0.8763962388038635,
0.17382803559303284,
-0.38984325528144836,
0.4323166608810425,
0.683384120464325,
0.49889615178108215,
-0.5766609907150269,
-0.20928603410720825,
-0.2520580589771271,
-0.3840123116970062,
0.5103603601455688,
... |
Teacher: In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Text: The Mansf... | 3 | 2 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
-0.22567418217658997,
0.23181211948394775,
0.3611116409301758,
-0.7444672584533691,
0.2383420467376709,
-0.24177609384059906,
-0.5605069398880005,
0.8887560963630676,
0.2780032455921173,
-0.27204158902168274,
-0.48490145802497864,
-0.17750129103660583,
-0.6513921022415161,
-0.0677871853113... |
Q: In this task, you're given a review from Amazon. 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, 4: good, 5: extremely good.
I've been buying these vitamins since 2014 and I have always bought 150 count. When I got my b... | 2 | 7 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
-0.2185550034046173,
-0.42434582114219666,
-0.1297551542520523,
0.01268080621957779,
0.585341215133667,
-0.7063814401626587,
0.6395279169082642,
0.6289370656013489,
-0.054733604192733765,
0.48519402742385864,
-0.5923992991447449,
-0.33200061321258545,
-1.2111786603927612,
0.413602352142334... |
Detailed Instructions: You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
Problem:System Reference: there is a vegetarian restaurant ... | 1 | 8 | NIv2 | task1186_nne_hrngo_classification | zs_opt | [
-0.7021223306655884,
0.9081251621246338,
-0.19031861424446106,
0.06061137467622757,
-1.0815858840942383,
-0.10689280927181244,
0.8725640773773193,
1.0118417739868164,
-0.08193330466747284,
0.03457193076610565,
-0.22777220606803894,
-0.24556413292884827,
-1.1266452074050903,
-0.205381214618... |
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.
Let me give you an example: claim: Music containing lyrics tha... | support | 8 | NIv2 | task738_perspectrum_classification | fs_opt | [
0.316866934299469,
0.5130972266197205,
0.2968156635761261,
0.4347562789916992,
-0.07751813530921936,
-0.6953377723693848,
0.8148176670074463,
0.666261613368988,
0.2236514687538147,
0.13939838111400604,
-0.2881228029727936,
-0.43453162908554077,
-0.6411231756210327,
-0.4035514295101166,
0... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
One example: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Solution is here: E eu continuo a pensar que o transporte é o centro deste universo.
Explanation: The Farsi sentence is correctly translated into Portugese, ... | A maioria dos governos seguiu a ordem dos líderes autoritários de manter-se longe destes diferentes grupos, porque eram terroristas. | 6 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.016853930428624153,
0.9503848552703857,
-0.012390298768877983,
0.18968552350997925,
-0.8132297396659851,
-0.4824105501174927,
0.3426835536956787,
0.6574151515960693,
0.005690249614417553,
0.10884403437376022,
-1.0552997589111328,
0.23811325430870056,
-0.3514551818370819,
0.1501801908016... |
Detailed Instructions: In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative ef... | none | 9 | NIv2 | task1727_wiqa_what_is_the_effect | zs_opt | [
0.36086907982826233,
0.9793644547462463,
-0.3834928870201111,
0.2221188247203827,
-0.16061002016067505,
-0.8852176666259766,
-0.002952001988887787,
0.8093013763427734,
0.24111391603946686,
-0.06575892865657806,
0.49574169516563416,
-0.050544001162052155,
-0.748192310333252,
-0.231282144784... |
Definition: 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 the given answer is wrong for question.
Input: Context: We made Opr... | yes | 2 | NIv2 | task241_tweetqa_classification | zs_opt | [
-0.6561337113380432,
-0.07635823637247086,
-0.12382546067237854,
1.1650656461715698,
0.49233296513557434,
-0.024528170004487038,
0.24289461970329285,
0.0368160679936409,
-0.012897588312625885,
0.21402427554130554,
-0.6340400576591492,
-0.4271736443042755,
0.12500645220279694,
0.10251221060... |
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Input: Consider Input: Context_1 : Graham Greene, CM (born June 22, 1952) is a Canadian First Nations actor ... | Output: no
| 2 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.9476929903030396,
0.26796239614486694,
-0.7127242088317871,
-0.39239341020584106,
0.25384676456451416,
0.05737766623497009,
0.42548346519470215,
1.3653464317321777,
-0.37495189905166626,
0.15035480260849,
0.6321635246276855,
0.07173804938793182,
-0.6643234491348267,
-0.15227282047271729,... |
Detailed Instructions: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Q: [[33, -48], [-17, 21, 26... | [-1584, -9282] | 9 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.33924245834350586,
0.7001947164535522,
-0.45253634452819824,
-1.0516356229782104,
-0.2765803635120392,
-0.3353446125984192,
1.786271095275879,
-0.3943580985069275,
-0.2329404056072235,
-0.16929592192173004,
-0.5861440896987915,
0.4308129847049713,
-0.6463425159454346,
-0.120124861598014... |
Detailed Instructions: 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 ci... | (B) | 8 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.24497069418430328,
0.2678244113922119,
-0.027860987931489944,
0.04327156022191048,
0.4074295163154602,
-0.30579787492752075,
-0.03548398241400719,
0.9418472051620483,
-0.19364765286445618,
0.0680534616112709,
-0.3459191918373108,
-0.004677295684814453,
-0.3043484687805176,
0.036776270717... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
It is the body of a woman long dead. The skin is dry and pulled away from the mouth and the teeth
are revealed as in the skeleton's smile.
He sweeps them sternly with his eyes, all ... | show behind the curved window on the face shield.
| 0 | NIv2 | task453_swag_answer_generation | fs_opt | [
0.35389870405197144,
1.1240438222885132,
-0.6944206953048706,
-0.6454088687896729,
-0.24478349089622498,
-0.3674811124801636,
0.2098601758480072,
0.5545848608016968,
0.43275099992752075,
0.17437633872032166,
-0.11272819340229034,
-0.48513489961624146,
0.1570499837398529,
0.7930552959442139... |
Instructions: 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.
Input:... | Yes | 3 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.603943943977356,
0.5646804571151733,
-0.04906746745109558,
-0.1579897105693817,
-0.30763542652130127,
-0.591238260269165,
-0.08528722822666168,
0.36868131160736084,
0.0001218058168888092,
-0.4300186038017273,
-0.13248176872730255,
-0.4958229064941406,
-0.22749114036560059,
0.23114126920... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Ex Input:
Tweet: @Blackman38Tide lmfao go to bed whitey 💁
Label: Hate Speech
Ex ... | false
| 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.4507144689559937,
0.24937301874160767,
0.6281487941741943,
0.11585737764835358,
-0.24644629657268524,
-1.1602063179016113,
-0.11197246611118317,
0.48329174518585205,
0.34080854058265686,
0.4430830478668213,
-0.5145838856697083,
-0.16596367955207825,
-1.0396215915679932,
-0.8077704906463... |
Teacher: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "symp... | Sentence 1: In the summer, PersonX gave some acrylic paint to PersonY due to _ planning to move.
Sentence 2: In the summer, PersonX gave some acrylic paint to PersonY due to _ planning to paint. | 2 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.47800880670547485,
0.15793649852275848,
-0.15927983820438385,
-0.16907091438770294,
0.37092506885528564,
-0.8851577043533325,
0.5585212707519531,
0.9574468731880188,
-0.16887107491493225,
-0.44800466299057007,
-0.18891111016273499,
-0.014958851970732212,
-0.3311246335506439,
0.1405297964... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Q: 私が人種医学を終わらせることに一生懸命な理由は悪い医学だからというだけではないのです
A: | A miña vehemencia para eliminar a medicina baseada na raza non só nace de que sexa mala medicina. | 4 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-0.8718146085739136,
-0.15706878900527954,
0.56755530834198,
-1.45218825340271,
-0.6791958808898926,
-1.2461535930633545,
-0.019736863672733307,
0.1279521882534027,
-0.13288724422454834,
-0.4330291748046875,
0.3997816741466522,
0.8872026205062866,
-0.29831936955451965,
0.9982397556304932,
... |
Given the task definition, example input & output, solve the new input case.
A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+... | 40 | 1 | NIv2 | task090_equation_learner_algebra | fs_opt | [
0.18262188136577606,
0.9699932932853699,
-0.7316572070121765,
-0.5646787285804749,
-0.2896398901939392,
-0.25194767117500305,
0.9846639633178711,
0.8415489196777344,
0.1016458123922348,
-0.9398177862167358,
-0.4692263603210449,
0.736572265625,
-0.5109496712684631,
-0.12428587675094604,
0... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Abstract: Diabetic nephropathy is the leading cause of chron... | yes | 1 | NIv2 | task1587_scifact_classification | zs_opt | [
0.34501737356185913,
0.18608419597148895,
-0.5979839563369751,
0.006445517763495445,
0.6496315598487854,
-0.11276974529027939,
0.38405564427375793,
1.1041431427001953,
-0.01583992876112461,
0.10159532725811005,
-0.7744918465614319,
0.34930598735809326,
-0.4702022671699524,
0.25946468114852... |
In this task you will be given an answer to a question. You need to generate a question. The answer given should be a correct answer for the generated question.
The stated objective of the organization is 'to conduct research and generate action to prevent and end abuses of human rights, and to demand justice for thos... | what is the main goal of amnesty international | 0 | NIv2 | task519_aquamuse_question_generation | zs_opt | [
0.3341520428657532,
0.3669554591178894,
-0.46107226610183716,
-0.3976905941963196,
-0.8146220445632935,
-0.8308855891227722,
0.4434203505516052,
-0.4713440239429474,
-0.04500231146812439,
0.23422256112098694,
-0.7570796012878418,
-0.5254623889923096,
-0.4649589955806732,
0.1772185862064361... |
Given the task definition and input, reply with output. You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase... | 0 | 5 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
-0.06398114562034607,
1.1885504722595215,
0.3391348421573639,
-0.7588971257209778,
0.018717031925916672,
-0.26741841435432434,
1.2418253421783447,
-0.44448816776275635,
0.135648712515831,
-0.9686002135276794,
-0.04281586408615112,
-0.09763979911804199,
-0.9658399224281311,
-0.1872142851352... |
Detailed Instructions: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Problem:Non-typeable Haemophilus influenzae (NTHi) is commonly associated with chronic suppurative ... | High Pulmonary Levels of IL-6 and IL-1β in Children with Chronic Suppurative Lung Disease Are Associated with Low Systemic IFN-γ Production in Response to Non- Typeable Haemophilus influenzae | 8 | NIv2 | task1161_coda19_title_generation | zs_opt | [
0.45373809337615967,
0.5641107559204102,
0.15988478064537048,
-0.19051849842071533,
0.01556747779250145,
-0.9949115514755249,
0.8607346415519714,
0.8029446005821228,
-0.18407544493675232,
0.622312068939209,
-0.2064422369003296,
0.36769577860832214,
-1.1457550525665283,
0.45231473445892334,... |
Given the task definition and input, reply with output. Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: アラヤは、いくつかの袋... | No | 5 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.42597252130508423,
0.7259949445724487,
0.07696528732776642,
0.2390025109052658,
-0.5120426416397095,
-0.31051692366600037,
-0.10414440929889679,
-0.06615063548088074,
0.18537351489067078,
-0.6580836772918701,
-0.6483400464057922,
0.19521042704582214,
-0.424073725938797,
0.50659662485122... |
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.
Let me give you an example: gocogccocco
The answer to thi... | iccicci | 8 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.40226542949676514,
1.0272207260131836,
0.0024948283098638058,
-0.24560774862766266,
-0.2508525848388672,
-0.5593651533126831,
0.9924144148826599,
-0.44576165080070496,
-0.16989195346832275,
-0.300686776638031,
-0.6474602222442627,
-0.16706210374832153,
-0.5383023023605347,
0.15897771716... |
Detailed Instructions: In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Q: Reviews: Just tried the n... | True | 9 | NIv2 | task1308_amazonreview_category_classification | zs_opt | [
-0.20509356260299683,
0.1969294250011444,
0.0013640027027577162,
-0.30113106966018677,
-0.5137797594070435,
-0.3579519987106323,
0.6268424987792969,
-0.013115438632667065,
-0.0345916673541069,
-0.19594618678092957,
-0.8068053126335144,
0.3515152335166931,
-0.5816825032234192,
0.01453766971... |
Detailed Instructions: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Q: (تشوك)
A: | Chuck. | 9 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
0.3914238214492798,
0.8086403608322144,
0.3636474609375,
-0.8670800924301147,
0.11555686593055725,
-0.41042226552963257,
0.6896817684173584,
-0.15883967280387878,
0.7180579900741577,
0.1426895707845688,
-0.07255202531814575,
0.15722772479057312,
-0.9821516275405884,
0.2782527208328247,
0... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Sustainable development is forward-looking; ... | Cultural shift towards sustainability in the construction industry of Hong Kong | 1 | NIv2 | task1161_coda19_title_generation | zs_opt | [
-0.5390234589576721,
0.0718199759721756,
-0.13950610160827637,
0.06514108180999756,
0.3625498116016388,
0.2062230408191681,
-0.3263482451438904,
0.6350611448287964,
-0.2911923825740814,
0.2028760313987732,
-0.23605391383171082,
0.019095204770565033,
-0.4646303355693817,
-0.1161673367023468... |
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.
After taking a tab, I was able to eat a hot pepper, but it didn't really taste sweet or good at all, just not v... | Not Working for me
| 0 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.2715755105018616,
0.46131187677383423,
-0.6386241912841797,
0.0977536290884018,
0.32889917492866516,
-0.5164240002632141,
0.9245377779006958,
0.6523562669754028,
-0.7917963862419128,
0.20943361520767212,
0.6850578188896179,
-0.06958575546741486,
-0.4069530963897705,
0.11012756824493408,... |
Given the task definition and input, reply with output. In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Health Impact Assessments Act of 2008 or the HIA ... | A bill to stimulate social policy and community environments to improve health by encouraging policies and programs to improve community health by policy and design, and for other purposes. | 5 | NIv2 | task1659_title_generation | zs_opt | [
-0.03263471648097038,
0.3724815845489502,
0.12893730401992798,
0.029414238408207893,
0.25051093101501465,
-0.3281567394733429,
0.7596521973609924,
0.7447681427001953,
-0.46428045630455017,
-0.0020108488388359547,
-0.6644287109375,
0.7141095995903015,
0.053826428949832916,
-0.13656342029571... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
--------
Question: Sentence: 'a woman in a red jacket with her mouth open standing in front of a bus'. Count the number of consonants in the given sentence.
Answer:... | 11
| 7 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.37822723388671875,
0.6010390520095825,
-0.8732789754867554,
-0.509282112121582,
-0.15520164370536804,
0.06273674964904785,
-0.3971336781978607,
0.7218688726425171,
0.405036598443985,
-0.39969587326049805,
-0.9614487886428833,
-0.35125821828842163,
0.2640429139137268,
-0.5639036893844604,... |
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 numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Q: ['u', '1517', '... | 2, 4, 5, 7, 8, 10 | 4 | NIv2 | task507_position_of_all_numerical_elements_in_list | zs_opt | [
-0.034884434193372726,
0.4498779773712158,
-0.24651458859443665,
-0.6125854253768921,
0.2635066509246826,
-0.28602999448776245,
0.69612717628479,
0.401089072227478,
-0.352057546377182,
0.26621729135513306,
-0.6279400587081909,
0.1062687486410141,
0.3616252541542053,
-0.018364913761615753,
... |
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... | Solution: U kunt een klik gebruiken om uw reflectie te zien. | 5 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.4696071743965149,
1.086595058441162,
-0.1643768846988678,
-0.1724267303943634,
-0.13205477595329285,
-0.7401189804077148,
0.39810776710510254,
0.6060051321983337,
0.594943642616272,
-0.3066732585430145,
-0.6183457374572754,
0.6431865692138672,
-0.7154995203018188,
0.2841859459877014,
... |
In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the first eleme... | [-15, -4] | 8 | NIv2 | task096_conala_list_index_subtraction | fs_opt | [
0.2779180407524109,
0.40746134519577026,
-0.7733599543571472,
-0.2138751894235611,
0.09042425453662872,
-0.3700449466705322,
1.1489009857177734,
0.5803849697113037,
-0.01964193396270275,
0.07451131939888,
-0.7377642393112183,
-0.39712244272232056,
-0.5684009790420532,
0.13373933732509613,
... |
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.
Article: My grandma whom we all called Nanny was a solid, first... | Nanny,s family immigrated to America mainly because _ . | 0 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.5621398687362671,
-0.0041533587500452995,
-0.4119533896446228,
0.24424448609352112,
0.0590030699968338,
-0.19132840633392334,
1.0017964839935303,
1.2997479438781738,
0.10312649607658386,
-0.17447640001773834,
-0.19504044950008392,
-0.23402535915374756,
-0.5352683067321777,
0.057589408010... |
Detailed Instructions: In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Q: Sentence1: One night the kids wanted to sleep on the back porch. Sentence2: We lai... | The night was calm and quiet. | 9 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.17019152641296387,
1.3428781032562256,
-0.06203324347734451,
-1.0347399711608887,
-0.5583587288856506,
-0.4910174608230591,
1.0698623657226562,
0.24895942211151123,
0.14824551343917847,
-0.03652838617563248,
-0.5460783243179321,
0.20314694941043854,
-0.14030593633651733,
0.0063547114841... |
A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
[EX Q]: ആറാമത് ദേശീയ ഫോട്ടോഗ്രഫി പുരസ്കാരങ്ങള് വിതരണം ചെയ്തു.
[EX A]: 6व्या राष्ट्रीय छायाचित्रण पुरस्कारांचे आयोजन करण्यात आले.
[EX Q]: നേതാജി സ... | अर्थात, हा पहिला सामना होता, त्यामुळं तो लक्षात राहणार, हे तर स्वाभाविकच आहे.
| 6 | NIv2 | task1071_pib_translation_malayalam_marathi | fs_opt | [
-0.3433133363723755,
0.06078590080142021,
-0.2494325339794159,
-0.18631859123706818,
-0.20498080551624298,
-0.862913191318512,
1.0011769533157349,
0.2979655861854553,
0.006834466475993395,
-0.5078531503677368,
-0.5808435678482056,
-0.2211032211780548,
-0.5347513556480408,
0.377188563346862... |
Definition: 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 write the character's motivation by doing a specific job, which is given in the... | None | 2 | NIv2 | task294_storycommonsense_motiv_text_generation | zs_opt | [
-0.6534130573272705,
0.2764117121696472,
0.2613520622253418,
-0.6593737602233887,
-0.250988245010376,
0.14098943769931793,
0.5308882594108582,
-0.20957157015800476,
0.5016587972640991,
-0.1982671320438385,
-0.06928947567939758,
0.017687730491161346,
-0.6805772185325623,
0.1695016771554947,... |
Part 1. Definition
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Part 2. Example
5 + 3
Answer: 2
Explanation: Here, '+' repre... | 4944 | 7 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.33122193813323975,
-0.027058864012360573,
-0.7919105291366577,
0.3642979562282562,
0.03095504641532898,
-0.049944840371608734,
0.7427980899810791,
1.0041203498840332,
0.39167478680610657,
-0.4400651156902313,
-0.6511327624320984,
-0.5592223405838013,
-0.6775568723678589,
0.2695353031158... |
In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that... | True | 6 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
-0.022787414491176605,
0.2887841463088989,
0.12487476319074631,
0.28055718541145325,
0.13411904871463776,
-0.7688825726509094,
0.6141000986099243,
0.9047631025314331,
-0.38204053044319153,
0.6226087808609009,
0.049692895263433456,
0.43779027462005615,
-0.7197175025939941,
-0.01355102844536... |
Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a pref... | No
****
| 4 | NIv2 | task1439_doqa_cooking_isanswerable | fs_opt | [
0.35782307386398315,
0.2453455626964569,
-0.939638614654541,
0.6435332894325256,
0.2758626639842987,
-0.3287390470504761,
0.8532516360282898,
1.038785457611084,
-0.33823734521865845,
0.46504920721054077,
0.4713013768196106,
-0.10660846531391144,
-0.3559635281562805,
0.7688006162643433,
-... |
Definition: In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Input: Walruses can remain submerged for as long as _ minutes.
Output: | ten | 2 | NIv2 | task672_nummersense | zs_opt | [
0.8258135914802551,
1.2671376466751099,
-0.24013805389404297,
-0.47592753171920776,
-0.5786086320877075,
-0.04236377775669098,
0.651736855506897,
-0.2635731101036072,
0.5204824805259705,
-0.22617772221565247,
0.18126392364501953,
-0.09576943516731262,
-0.09904807806015015,
0.02554715424776... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
معلوم شده که دهه ها قبل ، خلبانان ماهرقادربودند هواپیمای کنترل ازراه دور را که تنها دوقطعه متحرک داشت را به پرواز در آورند: یکی "" ملخ "" و دیگری "" سکان عقب "" | اتضح منذ عقود ، أن الطيارين ذوو الخبرة كانوا يستطيعون قيادة طائرات التحكم عن بعد التي كان لها جزءان متحركان فقط: هما المروحة و دفة التوجيه. | 0 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-1.054884433746338,
0.5941880941390991,
-0.46415475010871887,
-0.7260723114013672,
-0.34456753730773926,
0.5262133479118347,
0.7032123804092407,
0.04225204512476921,
0.05735403671860695,
-0.20298713445663452,
-1.2919938564300537,
0.5200161337852478,
-0.560085654258728,
0.3213515877723694,
... |
Given the task definition and input, reply with output. In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns... | select the rows whose nation record fuzzily matches to spain . the number of such rows is 3 . | 5 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.1339433193206787,
-0.05265399068593979,
-0.001737191341817379,
0.04232806712388992,
0.12798848748207092,
-0.0365196168422699,
0.3153906464576721,
0.3317126929759979,
0.09231239557266235,
-0.30709612369537354,
-0.5377583503723145,
-0.19365334510803223,
0.2545543313026428,
0.58717572689056... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Todos sentados en la cesta, y yo encima del globo, listo para deslizarme con mi tabla de skysurf.
A: | Ekipa siedziała w koszu, a ja byłem na szczycie balonu, gotowy aby ześlizgnąć się z deską do skysurfingu. | 7 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.2944488525390625,
0.7433261275291443,
-0.7041542530059814,
-0.6112713813781738,
0.11660069227218628,
-0.0020866175182163715,
0.6409059762954712,
-0.0789940357208252,
0.6202514171600342,
-0.42980849742889404,
0.6146313548088074,
0.9048469662666321,
-0.01918739639222622,
0.441043555736541... |
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', c... | 1 | 8 | NIv2 | task201_mnli_neutral_classification | fs_opt | [
0.46569138765335083,
0.17014165222644806,
-0.15011203289031982,
0.0019268682226538658,
0.2534645199775696,
-0.549506664276123,
0.09005361795425415,
0.6002411246299744,
0.2286042422056198,
-0.4206036925315857,
-0.3627694249153137,
-0.22862625122070312,
-0.5714297890663147,
-0.19332689046859... |
Q: In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, the... | What is a tributary of for the Willamette River? | 7 | NIv2 | task001_quoref_question_generation | zs_opt | [
0.3528038263320923,
0.5605714917182922,
-0.3192151188850403,
-0.6746213436126709,
-0.11416304111480713,
-0.37993937730789185,
0.7871322631835938,
0.5984517931938171,
0.3528693914413452,
-0.2089330106973648,
-0.24983954429626465,
0.3456888794898987,
-0.7054150104522705,
-0.11440488696098328... |
Instructions: In this task, you are given news articles and you need to generate a highlight, i.e., a short summary, with a maximum length of 10 lines.
Input: (CNN) -- When pictures leaked out in December of the late Steve Jobs' new yacht, Venus, leaving The Netherlands, interest was once again sparked in the mysteriou... | Aly, CEO of Blohm+Voss, told CNN that super yacht building was hurt in the crisis .
Lurssen shipyard in Bremen will soon unleash the world's longest mega yacht .
Some of the mega yachts need 60-80 employees when the boat is in full use . | 3 | NIv2 | task1553_cnn_dailymail_summarization | zs_opt | [
-0.38999494910240173,
0.5098654627799988,
-0.5863271951675415,
0.24334262311458588,
0.4626579284667969,
-0.2896033525466919,
-0.14149898290634155,
0.8966729640960693,
-0.06253807246685028,
0.2174275517463684,
-0.025891847908496857,
0.8593193292617798,
0.3135128617286682,
0.3219554424285888... |
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 or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Ulwakhiwo neempawu zentsinga ze... | With the celestial globe, the times of rising and setting of the stars above the horizon could be discovered. | 0 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | fs_opt | [
-0.34585773944854736,
0.287514865398407,
0.22628499567508698,
-0.40805065631866455,
-0.4100813567638397,
-0.39332669973373413,
1.4158837795257568,
0.3789563477039337,
-0.29160574078559875,
-0.007614791858941317,
-0.3092460632324219,
-0.28621959686279297,
-0.5147247314453125,
0.541431188583... |
Teacher: A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
இந்த ஒப்பந்தம் 2019, ஜனவரி மாதத்தில் டென்மார்க்கிலிருந... | আগামী ৩০ এপ্রিল আয়ুষ্মান ভারতের লোকজাগরণ অনুষ্ঠিত হবে। | 2 | NIv2 | task982_pib_translation_tamil_bengali | fs_opt | [
-0.21987822651863098,
0.4577975571155548,
-0.05134790390729904,
-0.39729440212249756,
0.36662620306015015,
-0.609403133392334,
-0.29086965322494507,
-0.4120520055294037,
-0.13001300394535065,
0.3234184980392456,
0.37410128116607666,
0.33501821756362915,
-0.2328878939151764,
0.2679847180843... |
Detailed Instructions: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
Problem:English sentence: Mark these references "EV" for evangelism and "ED" for edification.
Solution: | Tandaan ang mga reperensiya “PH” para sa panghihikayat ng kaluluwa at “PL” para sa pagpapalakas. | 8 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
-0.18748073279857635,
-0.05773497372865677,
0.6840844750404358,
-0.9421913623809814,
-0.3405580222606659,
-1.1613867282867432,
1.1822693347930908,
0.9624414443969727,
0.05108483508229256,
0.029729003086686134,
0.4411546587944031,
0.02028798684477806,
-0.41729265451431274,
-0.42426320910453... |
Definition: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Input: My boyfriend told us all about the recent horrible events.
Output: | male | 2 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.43220004439353943,
0.46327996253967285,
-0.45982685685157776,
-0.6705501675605774,
-0.13556088507175446,
-0.30085864663124084,
0.35785046219825745,
-0.03808335214853287,
1.0394986867904663,
-0.05877165496349335,
-1.3698610067367554,
0.14926114678382874,
-0.4312199056148529,
0.1608803570... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Example input: Then, the camel stops and the woman gets down from the camel.
Example output: A woman rides a camel holding a rode with her right hand while a man pulls the camel.
Ex... | She has the broadest of grins as she stands in the pouring rain, looking up into the sky. | 3 | NIv2 | task455_swag_context_generation | fs_opt | [
0.274577260017395,
0.91322922706604,
-0.6011756658554077,
-0.1129315122961998,
-0.7231494188308716,
-0.34100496768951416,
-0.10092359781265259,
1.5269591808319092,
0.6526185274124146,
-0.13005907833576202,
-0.7619311809539795,
0.40231260657310486,
-0.24155285954475403,
0.10980812460184097,... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Y este es una cría en cautiverio haciendo una imitación del silbato de ese entrenador.
A: | וזה גור בשבי עושה חיקוי של השריקה של אותו המאמן. | 7 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
-0.5992143154144287,
1.2803627252578735,
-0.5093957185745239,
-0.6959993839263916,
-0.46031078696250916,
0.1767333447933197,
0.04581338167190552,
0.43302303552627563,
0.5561366677284241,
-0.5067118406295776,
-0.3646944761276245,
-0.1966869831085205,
-0.7678849101066589,
0.1282844841480255,... |
instruction:
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context.... | He had extra money and no idea what to do with it .
| 9 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
0.11174973845481873,
-0.014212984591722488,
-0.9993236064910889,
0.5781062841415405,
-0.32061120867729187,
-0.6549751162528992,
0.2964702248573303,
1.0091536045074463,
-0.0006354656652547419,
-0.2685145139694214,
-0.3110470771789551,
0.770519495010376,
-0.5589523911476135,
-0.3803012073040... |
Detailed Instructions: This task is about translating a given Spanish language sentence to English.
Q: Cuando empezaron los belgas a plantar, yo estuve allí.
A: | I was present when the Belgians began reforesting. I said, | 9 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.1356315314769745,
1.0833741426467896,
0.26910412311553955,
-0.28828802704811096,
-0.4087567627429962,
-1.2155085802078247,
0.22781150043010712,
1.428260326385498,
0.8182961940765381,
-0.49162793159484863,
0.18078003823757172,
0.26763075590133667,
-0.3343808054924011,
0.17580333352088928... |
Detailed Instructions: In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/exi... | Tammy hid in the closet because of a bird. | 8 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.060503508895635605,
0.0981127992272377,
-0.13942298293113708,
-0.021894223988056183,
-0.12437942624092102,
0.17912434041500092,
-0.49627208709716797,
0.6096612215042114,
-0.5467926859855652,
0.060525596141815186,
-0.6558542847633362,
0.23582765460014343,
-0.32915520668029785,
-0.45217782... |
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 write the character's motivation by doing a specific job, which is given in the sentence. Y... | to have fun
| 7 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
0.3757895827293396,
0.3191353976726532,
-0.4423084855079651,
-0.3853927254676819,
0.062321700155735016,
0.03992784768342972,
0.7383486032485962,
0.39703401923179626,
0.10405179113149643,
-0.09049215912818909,
-0.30563777685165405,
-0.31935393810272217,
-0.6196649670600891,
-0.0516705885529... |
Teacher:A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: सरदारसाहेबांच्या या आशीर्वादाबद्दल, देशाच्या कोट्यवधी जनतेने दिलेल्या आशीर्वादाबद्दल म... | এই উপলক্ষ্যেআমাদের দেশের নবীন প্রজন্মের মানুষেরা দেশের কোণায় কোণায় রাষ্ট্রীয় একতা ও অখণ্ডতার জন্যে ‘একতার জন্যে দৌড়’ প্রতিযোগিতায় অংশগ্রহণ করেছেন। | 6 | NIv2 | task1062_pib_translation_marathi_bengali | zs_opt | [
0.009899334982037544,
0.3517856001853943,
0.21349237859249115,
-0.3995862305164337,
0.28706711530685425,
-1.3905906677246094,
0.5171986818313599,
-0.3473818898200989,
-0.21282175183296204,
-0.6819906234741211,
-0.3272549510002136,
-0.47297030687332153,
-0.49115240573883057,
-0.345277875661... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to prov... | Question: Who arrives with Lady in a taxi?, Answer: Jim Dear | 0 | NIv2 | task182_duorc_question_generation | fs_opt | [
0.3461824953556061,
0.21522779762744904,
-0.2860878109931946,
0.2529768645763397,
0.5747954845428467,
-0.3370707333087921,
0.571951150894165,
0.695421576499939,
-0.3099299967288971,
-0.0953301340341568,
0.07723082602024078,
0.16846390068531036,
-0.7867161631584167,
0.13124872744083405,
-... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Example input: ♫ עם הכוח לעמוד ♫ ♫ בחצותה את הגבול ♫ ♫ היא אמרה, "" אתם תגדלו חופשיים על האדמה הזו "" ♫ ♫ נשים של תקווה ♫ ♫ נשים של שינוי ♫ ♫ נשים של מלחמה וכאב ♫ ♫ אני יכולה להרגיש את הכוח שלכן ♫ ♫ במילים אלו היא אמרה ♫ ♫ אם... | Jak to zmierzyć? Jeśli mamy planetę o niskiej zawartości tych pierwiastków, czyli tektonicznie martwą, nie może być tam życia. | 3 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
0.41232234239578247,
0.7579999566078186,
-0.03395765274763107,
-0.23166553676128387,
-0.34711137413978577,
-1.3732547760009766,
1.4492475986480713,
0.1958804875612259,
0.2622472047805786,
-0.37576329708099365,
-0.8658644556999207,
0.6303667426109314,
-1.0008174180984497,
0.1349989473819732... |
In this task, you will be presented with a question having multiple possible answers in Chinese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Q: Question: 在城市之外的小动物园里，哪里能找到树懒？
Options: A 乡下 B 百科全书 C 荒野 D 词典 E 笼子
A: | A | 4 | NIv2 | task1141_xcsr_zh_commonsense_mc_classification | zs_opt | [
-1.0434637069702148,
0.1550389677286148,
-1.0604256391525269,
-0.6155614852905273,
-0.16109129786491394,
-1.0069029331207275,
0.09775851666927338,
0.3994350731372833,
0.13892710208892822,
-0.4571782350540161,
-0.7092167139053345,
0.02153664082288742,
0.01769847609102726,
0.0771285146474838... |
Instructions: Compose a new way to ask the same question. The new question must be asking the exact same thing as the original question does. Without any other information, you should be able to tell that the original question and the new question are the same. Preserve bracketed phrases in your new question. You can c... | Which TV Program features [Birth of a Legend (1)] as Episodes of a Multipart TV episode? | 3 | NIv2 | task402_grailqa_paraphrase_generation | zs_opt | [
0.8725862503051758,
-0.08381281793117523,
-0.2709733545780182,
0.3240002989768982,
0.34255504608154297,
-1.177513837814331,
0.5837879776954651,
0.47991734743118286,
-0.12438861280679703,
-0.4712470769882202,
-0.29497066140174866,
0.2144785374403,
-1.7018197774887085,
-0.16635915637016296,
... |
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 Hebrew.
Example: Afinal de contas elas é que decidem, e decidiram mesmo.
Output: אחרי הכל, הם החליטו, והם עשו,
The Portugese sentence is correctly tr... | ונניח שעקץ אתכם יתוש שנושא את הנגיף הזה. | 1 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
-0.23638373613357544,
0.8615387082099915,
0.4476292133331299,
0.15931344032287598,
-0.2891726791858673,
-0.17841017246246338,
0.11854104697704315,
0.38124316930770874,
0.10488426685333252,
-0.04639343172311783,
-0.5425102114677429,
0.4695197343826294,
-0.12865106761455536,
-0.1662602275609... |
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 ... | no | 4 | NIv2 | task285_imdb_answer_generation | fs_opt | [
0.02750292420387268,
0.2885238528251648,
0.14774993062019348,
0.4388396739959717,
0.857954740524292,
-0.9509654641151428,
1.1460641622543335,
0.714989960193634,
-0.13863959908485413,
-0.09020036458969116,
-0.704564094543457,
-0.19992265105247498,
-0.3742542862892151,
0.059965722262859344,
... |
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