inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Q: Charges both of my phones at full speed. This product is great. Co... | Good Review | 9 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.46661999821662903,
-0.03254290670156479,
-0.2990838885307312,
-0.24205148220062256,
0.32903486490249634,
-1.4581775665283203,
0.47662460803985596,
1.0931410789489746,
0.16180145740509033,
0.5356309413909912,
-0.16261401772499084,
0.10576264560222626,
-0.17009946703910828,
0.080621570348... |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closes... | World
| 3 | NIv2 | task379_agnews_topic_classification | fs_opt | [
-0.09224926680326462,
0.60340416431427,
-0.2742688059806824,
0.7846343517303467,
0.48576539754867554,
0.08077090233564377,
0.31058746576309204,
1.0446288585662842,
0.0561513751745224,
0.11621761322021484,
-0.5783491730690002,
0.5698271989822388,
-0.04847767949104309,
0.5624662637710571,
... |
Teacher:A text is given in Marathi. Translate it from the Marathi language to the Tamil language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: गेल्या दोन महिन्यात या अभियानाचा खूपच सकारात्मक परिणाम झाला आहे.
Student: | கடந்த இரண்டு மாதத்தில், இந்த இயக்கத்தால் நேர்மறையான தாக்கம் ஏற்பட்டுள்ளது. | 6 | NIv2 | task1083_pib_translation_marathi_tamil | zs_opt | [
0.488007128238678,
0.3821430802345276,
0.2601556181907654,
-0.5525686740875244,
-0.2486344873905182,
-1.0988774299621582,
0.05010431632399559,
0.45826607942581177,
-0.2588351368904114,
0.2949262857437134,
0.07629965245723724,
-0.04681999236345291,
-0.4341095983982086,
-0.6918284893035889,
... |
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Context: Insulin resistance is a central feature of type 2 diabetes. Salicylates prevent lipid-induced insulin resistance in rodents by interruptin... | ASA pretreatment attenuated lipid-induced insulin resistance in healthy humans. This acute insulin-sensitizing effect of ASA was unrelated to changes of circulating inflammatory markers. | 0 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.49785858392715454,
0.4427477717399597,
-0.33182212710380554,
-0.2996428310871124,
0.3709615468978882,
-0.7535473108291626,
0.15839672088623047,
0.8851914405822754,
0.24239759147167206,
-0.14979197084903717,
-0.725710928440094,
0.6221377849578857,
-0.39072930812835693,
-0.0138547588139772... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while... | Output: True
| 2 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.44665729999542236,
0.6225784420967102,
-0.7662577629089355,
0.17362116277217865,
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0.4347207844257355,
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-0.43092334270477295,
0.6934345960617065,
-0.25143080949783325,
0.4376853406429291,
... |
Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting unimportant information (i.e. compression), and/or splitting a long complex sentence into several simpler ones. The fina... | Solution: These benefits are similar to those realized by owners of infrastructural capital that yields more goods. For example, a factory that produces automobiles just as an apple tree produces apples. | 5 | NIv2 | task111_asset_sentence_simplification | fs_opt | [
-0.057912297546863556,
0.7679333090782166,
0.4970707595348358,
-0.3054531216621399,
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-0.7139825820922852,
0.9192030429840088,
0.885148823261261,
0.21980538964271545,
0.18530488014221191,
-0.4868834614753723,
0.019788820296525955,
-0.8702960014343262,
-0.0079665146768093... |
Q: In this task, you are given a list of integers in a random order. You need to return the same list of integers in the reverse order.
[205, 154, 256, 22, 202, 95, 138, 72, 139, 39, 276, 184, 286, 237, 111, 89, 227, 66, 49, 167]
A: | [167, 49, 66, 227, 89, 111, 237, 286, 184, 276, 39, 139, 72, 138, 95, 202, 22, 256, 154, 205] | 7 | NIv2 | task1331_reverse_array | zs_opt | [
-0.9166908264160156,
1.0228865146636963,
0.2964647710323334,
-0.07302063703536987,
-0.5867667198181152,
0.20116975903511047,
0.6623833775520325,
-0.4538440704345703,
-0.5754114389419556,
0.21370330452919006,
-1.4059014320373535,
0.11213451623916626,
-0.17695452272891998,
-0.112463384866714... |
In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Example Input: In early 19th century Styria, a beautiful blonde (Kirsten Lindholm) in a diaphanous gown materializes ... | Answer: Flash mob
| 3 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.5409980416297913,
-0.16464628279209137,
-0.6678211688995361,
-0.03226904943585396,
0.2651827335357666,
-0.08483001589775085,
0.6160305738449097,
0.8914090394973755,
-0.04878750443458557,
0.3500107526779175,
0.33314549922943115,
0.3787648379802704,
-0.5873384475708008,
0.22681328654289246... |
Teacher: Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? If you are still confused, see the following example:
フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカ... | Sistem memungkinkan iPhone kesulitan pada layanan disebabkan oleh kegagalan jaringan dan kekurangan kapasitas untuk memenuhi permintaan pada penjualan hari pertama, terutama di Amerika Serikat pada Apple dan Toko AT&T, dan di Kanada. | 2 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.008237707428634167,
0.8071150779724121,
-0.7383134365081787,
0.001350611331872642,
-0.1888987123966217,
-0.5969648361206055,
0.2942183315753937,
0.5782510042190552,
-0.14666220545768738,
-0.5657076835632324,
-0.6561200618743896,
0.8439760208129883,
-0.6683123707771301,
0.419145911931991... |
Teacher:In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. You are expecte... | Anti-stereotype | 6 | NIv2 | task316_crows-pairs_classification_stereotype | zs_opt | [
-0.2213801145553589,
-0.16121919453144073,
-0.026084840297698975,
0.3975260853767395,
0.014299052767455578,
0.053904786705970764,
0.4753802418708801,
0.5583715438842773,
0.8663935661315918,
-0.07142164558172226,
-0.40207618474960327,
-0.26335519552230835,
-0.8651378154754639,
-0.3092752993... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Input: Persistence means long-lasting.
Output: | الإستمرارية تعني الديمومة | 2 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
-0.2818731367588043,
0.5227148532867432,
0.15343669056892395,
-0.7827274799346924,
-0.3484485149383545,
-1.0095268487930298,
0.3219676613807678,
0.2388847917318344,
0.509181022644043,
0.19164179265499115,
-0.6361569166183472,
0.561663031578064,
-0.6572840213775635,
0.7234007716178894,
0.... |
Detailed Instructions: You are given a dialog between 2 or more individuals. You need to generate the number of the speaker (e.g. 1 for Speaker 1) who had the most lines in the dialog. If there is a tie, output the answer '0'.
Q: Speaker 1: Monica-Monica-Monica-Monica, listen-listen, listen, listen, would-would it make... | 1 | 9 | NIv2 | task909_dialogre_prevalent_speakers | zs_opt | [
0.2813497483730316,
0.5779559016227722,
-0.02125394158065319,
-0.22715839743614197,
0.19376415014266968,
-0.6852505803108215,
0.22021667659282684,
0.6957105398178101,
0.613571286201477,
-0.12474450469017029,
-0.4625074863433838,
0.15628862380981445,
0.04533463716506958,
-0.6348073482513428... |
Given the task definition and input, reply with output. Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Namun, Paul Whitehouse yang juga membintangi serial tersebut mengaku ti... | しかし共演者のポール・ホワイトハウス氏は、彼がその調査について何も知らないと主張した。 | 5 | NIv2 | task1116_alt_id_ja_translation | zs_opt | [
-0.22746539115905762,
0.5344070196151733,
0.06610573828220367,
-0.32207930088043213,
0.0561850443482399,
0.14174124598503113,
1.1918447017669678,
-0.10120268911123276,
0.07635973393917084,
-0.26066964864730835,
-0.8552922606468201,
0.713488757610321,
-0.971707820892334,
-0.0102459490299224... |
We would like you to assess the QUALITY of each of the following argument (discussing Gun Control) 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 gun control. An ... | Valid | 9 | NIv2 | task150_afs_argument_quality_gun_control | fs_opt | [
0.1749892234802246,
0.7760353088378906,
0.35645732283592224,
-0.42178910970687866,
-0.02935105934739113,
-1.7132850885391235,
0.20358744263648987,
0.7753964066505432,
0.08617167174816132,
0.6353217959403992,
-0.6983082294464111,
-0.49876075983047485,
-0.36321383714675903,
0.283885717391967... |
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Example input: We propose a local coherence model based on a convolutional neural network that operates over the entity grid representation of a text. The model captur... | Restricted Manipulation in Iterative Voting: Convergence and Condorcet Efficiency | 3 | NIv2 | task1540_parsed_pdfs_summarization | fs_opt | [
-0.29529425501823425,
0.4025786519050598,
0.4932354688644409,
0.4126785099506378,
0.2633439898490906,
-0.32119229435920715,
0.6690080165863037,
0.5067152380943298,
-0.04606174677610397,
0.3886980712413788,
-0.3111516237258911,
0.077519491314888,
-0.29745185375213623,
0.002358131343498826,
... |
Given the task definition and input, reply with output. In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sen... | second | 5 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
-0.42404332756996155,
0.784661054611206,
0.2516656219959259,
-0.6259597539901733,
-0.31944727897644043,
-0.1549559235572815,
0.09938851743936539,
0.2534181475639343,
0.05894263833761215,
0.04261235147714615,
-0.9161767959594727,
-0.20057135820388794,
-0.4324091076850891,
-0.032325744628906... |
Q: We would like you to classify each of the following sets of argument pairs (discussing Death Penalty) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. ... | Not similar | 7 | NIv2 | task145_afs_argument_similarity_death_penalty | zs_opt | [
-0.2550416588783264,
0.4965965747833252,
0.21028883755207062,
0.1719534993171692,
0.05913219228386879,
-0.7306896448135376,
1.0092813968658447,
0.37320202589035034,
0.01795356720685959,
0.378877192735672,
0.02842095121741295,
0.23927153646945953,
-0.8034508228302002,
0.6633065938949585,
... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of li... | [0, 15, -273, -9555, 25, -21, 1435, 11, -109725] | 1 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.4197215437889099,
-0.2452102154493332,
-0.7956975698471069,
0.014583151787519455,
0.3805481195449829,
-0.13443030416965485,
1.0092875957489014,
0.9378951787948608,
-0.5925052165985107,
0.000029135611839592457,
-0.8518882989883423,
-0.21887697279453278,
-0.21617391705513,
-0.3886838853359... |
Instructions: Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a di... | You can feel it when it hits your tooth. | 3 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.24789872765541077,
0.8659512996673584,
0.8924773931503296,
-0.19691264629364014,
0.4453577399253845,
-0.5211910605430603,
0.0916353166103363,
0.5784746408462524,
-0.446016401052475,
-0.7574558854103088,
-0.2886519432067871,
-0.2613804340362549,
-0.6491605043411255,
0.5641966462135315,
... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sente... | 11. | 3 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
0.4219469726085663,
0.11072669178247452,
-0.3142276406288147,
-0.24650436639785767,
0.3969661593437195,
-0.46041810512542725,
0.6354283094406128,
0.6335711479187012,
0.05931323021650314,
0.10212162137031555,
-0.7839628458023071,
0.40019866824150085,
-0.20003630220890045,
0.1765939295291900... |
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.
Example input: Says the Annies List polit... | candidates-biography | 3 | NIv2 | task613_politifact_text_generation | fs_opt | [
0.1621505618095398,
0.1357221007347107,
0.07004763185977936,
0.19259925186634064,
-0.41567137837409973,
-0.7053267955780029,
0.5912095904350281,
0.3126135468482971,
0.1105145514011383,
0.4265419542789459,
-0.7090741991996765,
0.12740984559059143,
-0.7025781869888306,
0.1184045672416687,
... |
Definition: 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 corp... | PRON | 2 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.48758047819137573,
0.00037933862768113613,
-0.18191684782505035,
0.21398130059242249,
-0.15367154777050018,
-0.8703176975250244,
0.7255615592002869,
0.552851676940918,
-0.15715426206588745,
-0.04220088571310043,
-0.5415104627609253,
0.14471516013145447,
-0.6171761751174927,
0.22669100761... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Q: passage: In 2014, Roberts narrated ``Women in Hollywood'', an episode of season 2 of Makers: Women Who Make America. Roberts appears in Givenchy's spring/summer ... | Yes | 4 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
-0.8654892444610596,
1.2475411891937256,
-0.42077457904815674,
0.6514072418212891,
-0.5451239347457886,
0.4460042119026184,
0.18932031095027924,
0.8036046028137207,
0.30977827310562134,
0.5692205429077148,
0.8289486765861511,
-0.12114859372377396,
-0.19676432013511658,
-0.4796159267425537,... |
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: 英語版Wikipediaの別の活発な寄稿家であるクリスティアノ・モレスキ氏は、「これがオリンピックの閉会式が終わってから5分続くかは疑... | No
| 0 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
0.13842229545116425,
-0.30461323261260986,
-0.38700854778289795,
0.2557394504547119,
0.4105037450790405,
-0.4380510449409485,
0.3908405005931854,
-0.71625816822052,
0.38913193345069885,
-0.6747211217880249,
-0.4568926692008972,
0.6804221272468567,
-0.7037948369979858,
0.7762132883071899,
... |
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Hateful
| 0 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.28565943241119385,
0.11030030995607376,
0.6865274906158447,
0.852726399898529,
-0.20354561507701874,
-1.0748963356018066,
0.6906594038009644,
0.9816182851791382,
0.609460175037384,
0.5086345672607422,
-0.1454584002494812,
0.1831151247024536,
-0.27752944827079773,
-0.5844132900238037,
... |
Detailed Instructions: In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Problem:What is the designation hierarchy in Sapient Nitro in Gurgaon?
Solution: | What is the designation hierarchy in Sapient Global Markets in Gurgaon? | 8 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.8004809617996216,
-0.04123896360397339,
1.0880053043365479,
-0.27974414825439453,
-0.16085049510002136,
-1.221503734588623,
0.8752142190933228,
0.07340868562459946,
-0.06211293861269951,
0.1427188217639923,
-0.09490294754505157,
-0.23435021936893463,
-0.8620865345001221,
0.4082998037338... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | Output: walk opposite left twice and turn around right thrice
| 2 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.5778131484985352,
0.6628919839859009,
-0.5323818922042847,
0.11518746614456177,
0.03383238986134529,
0.17134734988212585,
-0.038851454854011536,
0.7708945870399475,
-0.15108367800712585,
-0.018580153584480286,
-0.6984370946884155,
-0.3421925902366638,
-0.6355166435241699,
-0.036104656755... |
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversion" base... | Solution: Inversion | 5 | NIv2 | task516_senteval_conjoints_inversion | fs_opt | [
0.037762440741062164,
0.5413296222686768,
0.6493908762931824,
0.3348187506198883,
0.2129611074924469,
-0.24828964471817017,
0.2949802279472351,
0.7319656014442444,
-0.14679932594299316,
0.06202031672000885,
-0.7989653944969177,
-0.6114245653152466,
-1.2021970748901367,
-0.46373653411865234... |
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.
Input: Sentence1: Fancy is the name of Sharon's miniature schnauzer. Sentence2: Fancy turned 1... | Sharon knew her time with Fancy was short. | 3 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.3628641963005066,
1.4472087621688843,
0.07414393126964569,
-0.8862308263778687,
-0.32714706659317017,
0.08528164774179459,
0.4912091791629791,
0.05614742636680603,
0.3282041549682617,
-0.15946128964424133,
-0.3197786211967468,
0.44482091069221497,
-0.6114681959152222,
0.0519334785640239... |
Definition: 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".
Input: " The barbs are sharp, " I warn her.
Output: | Present | 2 | NIv2 | task429_senteval_tense | zs_opt | [
-0.3681742548942566,
0.42675113677978516,
0.21748977899551392,
0.4922904372215271,
0.23949399590492249,
-0.20589624345302582,
0.8612322807312012,
0.8569893836975098,
0.21902583539485931,
0.11755995452404022,
-0.675541877746582,
-0.15349069237709045,
-0.5234262943267822,
-0.0631995946168899... |
You will be given a definition of a task first, then some input of the task.
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 answe... | no | 1 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-1.5281227827072144,
0.272231787443161,
0.8133382201194763,
0.559039831161499,
0.2307327687740326,
-1.2195196151733398,
0.035686150193214417,
0.7283212542533875,
0.5942742824554443,
0.3193768858909607,
-0.3365533947944641,
-0.2783837616443634,
-0.3456560969352722,
-0.31325653195381165,
-... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | No | 1 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.12656477093696594,
0.2581672668457031,
0.19559107720851898,
-0.03784541040658951,
-0.4187248945236206,
-0.4737911820411682,
0.9104125499725342,
0.3472785949707031,
-0.4865665137767792,
-0.4798088073730469,
-0.19672630727291107,
-0.9419491291046143,
-0.3792365491390228,
0.0849808305501937... |
Detailed Instructions: 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.
Q: 3, 4, ['5483', 'k', '65', 'b', 'W', 's'... | 65, 9401, k, a | 9 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.4269370436668396,
0.3402376174926758,
-0.9363582730293274,
-1.063711166381836,
-0.6620051264762878,
-0.4769604802131653,
0.8408671021461487,
-0.4472353160381317,
-0.13444450497627258,
-0.02420375868678093,
-0.6056978702545166,
-0.3496242165565491,
0.2769876718521118,
0.3055896461009979,
... |
Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question... | a comedy movie | 3 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.12272478640079498,
0.6864620447158813,
-0.6211870908737183,
0.16528554260730743,
-0.4374034106731415,
0.023802751675248146,
0.3794235587120056,
0.8777515292167664,
0.8014324307441711,
-0.14520931243896484,
0.8542249202728271,
-0.5208050012588501,
-0.4885757565498352,
0.09360659122467041,... |
Detailed Instructions: In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used i... | True | 4 | NIv2 | task346_hybridqa_classification | fs_opt | [
0.5977034568786621,
0.12722639739513397,
-0.20443663001060486,
0.1291113793849945,
0.053362272679805756,
-1.003913402557373,
1.0099971294403076,
0.5534161925315857,
-0.3657408058643341,
-0.16778893768787384,
-0.5153199434280396,
0.15580490231513977,
0.03197255730628967,
0.00574996508657932... |
Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Input: Quando se apresenta isso a pessoas que não são versadas nesses aspectos da ciência, elas tornam-se salamandras, apáticas, ao sol do meio-dia. É como falar sobre a tangente do ângulo visível, certo... | Quando li presentate a persone non molto esperte in questi aspetti della scienza, diventano come lucertole al sole di mezzogiorno. È come parlare della tangente all'angolo di visuale. | 3 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
-0.6372225284576416,
0.6960583925247192,
0.03524751216173172,
0.20940342545509338,
-0.8523932695388794,
-0.8142849802970886,
0.28501641750335693,
0.5267431735992432,
-0.08812116086483002,
-0.027567293494939804,
-0.577804684638977,
0.013260673731565475,
0.1402214616537094,
0.265256583690643... |
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Q: Question: Were the 10th and 14th Flotilla made in the same ye... | 2 | 4 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.6710405349731445,
0.5027658939361572,
-0.878137469291687,
-0.43762698769569397,
0.5351083278656006,
-0.3294227421283722,
1.031367301940918,
0.7988330721855164,
0.046169862151145935,
0.4936419725418091,
0.15366530418395996,
0.7670133113861084,
-0.6300114393234253,
-0.34884417057037354,
... |
In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
Q: [-37, 66, 75, ... | 4 | 4 | NIv2 | task1445_closest_integers | zs_opt | [
-0.4262845516204834,
0.8523399829864502,
0.165159672498703,
-0.2614803612232208,
-0.047390177845954895,
-0.5402703285217285,
0.8702236413955688,
-0.045247633010149,
0.9251237511634827,
-0.26033636927604675,
-0.06369975209236145,
-0.13979549705982208,
-0.6389631628990173,
0.1290735900402069... |
A question is presented to you in this task, and your job is to write a potentially correct answer.
where did elvis presley live before he died? | Memphis | 0 | NIv2 | task1412_web_questions_question_answering | zs_opt | [
0.018552672117948532,
0.7386228442192078,
-0.4899716377258301,
-0.3387032151222229,
-0.06961216777563095,
-0.7336717247962952,
-0.3386448621749878,
-0.3212491273880005,
0.4163086414337158,
0.22219300270080566,
0.19638758897781372,
1.0202252864837646,
-0.24791648983955383,
-0.02443601004779... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) ... | Administrative Society Quarterly, abbreviated to Admin. Sci. Q, is published by SAGE Publications. Their ISSN number is 0001-8392 and the LLCN number is 57059226. | 0 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-1.2290505170822144,
0.6100485324859619,
-0.5725500583648682,
-0.7412326335906982,
-0.4824037253856659,
0.10035787522792816,
0.8036178946495056,
0.027409788221120834,
-0.02085517719388008,
0.17890939116477966,
-0.9640028476715088,
0.4959981441497803,
-0.5674625635147095,
-0.017331650480628... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the follow... | Nissan boss warns on UK investment | 2 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.47600820660591125,
0.5506008863449097,
0.12384973466396332,
-0.19977670907974243,
-0.202294260263443,
-0.08623641729354858,
-0.2988535165786743,
0.818283200263977,
-0.12288448214530945,
0.8571128845214844,
-0.39828264713287354,
0.39174461364746094,
-0.49245238304138184,
-0.1873344928026... |
instruction:
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
question:
Sentence: 'President elect Barack Obamas pick for CIA chief , Leon Panetta , does not belong to the intelligence community , but i... | meet in
| 9 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.16195252537727356,
-0.01695399358868599,
-0.36864835023880005,
0.49610626697540283,
-0.1523836851119995,
-1.2351515293121338,
0.7258261442184448,
0.7595973610877991,
0.07173728197813034,
0.7373286485671997,
-0.16320112347602844,
0.0764782577753067,
-0.30647265911102295,
-0.0374733693897... |
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.
Let me give you an example: Coming from a xenophobic race that possesses the unique ability to pass among other species and chooses not t... | Plural | 8 | NIv2 | task430_senteval_subject_count | fs_opt | [
-1.2253459692001343,
0.5133593082427979,
-0.062450140714645386,
-0.19797447323799133,
-0.6779589653015137,
-0.3727096915245056,
0.6096832752227783,
0.2267765998840332,
-0.12284161150455475,
-0.6506412029266357,
-0.7365682125091553,
-0.05619964003562927,
-0.5274211168289185,
0.0465001277625... |
TASK DEFINITION: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No e... | No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion
| 8 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.8283369541168213,
-0.11153216660022736,
-0.31695157289505005,
-0.007873030379414558,
-0.04513844847679138,
-0.32936859130859375,
0.9168515205383301,
0.15172499418258667,
-0.08749281615018845,
0.04946761205792427,
0.17409609258174896,
-0.36222511529922485,
-0.28262725472450256,
0.24921898... |
Instructions: In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should... | Non-hateful | 3 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.2969292998313904,
0.5751322507858276,
0.10776414722204208,
1.0703070163726807,
-0.41859471797943115,
-0.48433399200439453,
0.6859912872314453,
1.6159203052520752,
0.2303737998008728,
0.5138648748397827,
-0.5079555511474609,
0.603111982345581,
-0.3717791736125946,
-0.7331790328025818,
... |
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 using the... | 34521 | 4 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.11032923310995102,
0.5591108202934265,
0.13731473684310913,
-0.9181476831436157,
-0.0024623675271868706,
-0.3987849950790405,
0.24244588613510132,
0.6358270645141602,
-0.4151429831981659,
0.08985687047243118,
-1.041046142578125,
-0.29575395584106445,
-1.1414110660552979,
-0.149431869387... |
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).
--------
Question: Lakisha found herself in a hilarious situation.
Answer: female
Question: Latisha feels miserable.
Answer: female
Quest... | male
| 7 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.4171149730682373,
0.06711013615131378,
-0.19953188300132751,
-1.6106107234954834,
-0.5489864349365234,
-0.4514439105987549,
0.5582298040390015,
0.14163854718208313,
0.7481406927108765,
0.40730446577072144,
-0.936082661151886,
0.03502155840396881,
-0.911492109298706,
-0.12934723496437073... |
Teacher:In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Teacher: Now, understand the problem? Solve this instance: Passage: Eddie and the Cruisers -- Eddie and the Cruise... | 0 | 6 | NIv2 | task1661_super_glue_classification | zs_opt | [
-0.3493397831916809,
-0.019390111789107323,
0.1162542849779129,
-0.3304983973503113,
0.08413738012313843,
-0.6554431319236755,
1.1951181888580322,
0.2531725764274597,
-0.009607796557247639,
0.0913999080657959,
-0.3342152535915375,
0.20907406508922577,
-0.6028817296028137,
-0.53699028491973... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
[EX Q]: Veamos el programa de Chris durante el resto del show. ¿Bien?
[EX A]: Vamos ver como é que o Chris reage durante o resto do evento.
[EX Q]: En Twitter empezamos a burlarnos del estudio, y marcó algunos titulares... | Então algo em mim mudou muito profundamente.
| 6 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
-1.1868945360183716,
0.5720314979553223,
0.06260194629430771,
-0.9508364200592041,
-0.7098444700241089,
-0.8892173767089844,
-0.5470672845840454,
0.915928065776825,
0.6741812229156494,
-0.10352835804224014,
-0.38922950625419617,
0.16306160390377045,
-0.312513530254364,
0.421093225479126,
... |
instruction:
In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8,... | [64, 128, 2048]
| 9 | NIv2 | task1444_round_power_of_two | fs_opt | [
-0.042798154056072235,
0.942122220993042,
-0.5082741975784302,
-0.06492288410663605,
-0.3294743001461029,
-0.004815733525902033,
0.5165495872497559,
0.47730350494384766,
-0.45516014099121094,
0.12191244214773178,
-0.712948203086853,
0.3308837115764618,
-0.061509888619184494,
-0.44027894735... |
Teacher: In this task, you are given a question. You have to answer the question based on your information.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Roman Yakub won first price in a Choral Composition Competition at a liberal arts college founded by who?
Solution: Will... | Mario Gianluigi Puzo | 2 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
-0.05826439708471298,
0.06108035892248154,
0.3233572244644165,
-0.33859968185424805,
-0.06944751739501953,
0.17886988818645477,
0.18371766805648804,
-0.021823788061738014,
-0.10903807729482651,
0.2255963832139969,
0.012598579749464989,
0.21307265758514404,
-1.1191374063491821,
-0.798842906... |
Teacher:Given a premise as input, generate a hypothesis as output that follows the premise based on the following rules: (i) The hypothesis should be derived from the premise. (ii) The hypothesis must not contain any information that is not in the premise. (iii) The hypothesis should not contradict or have a suggestio... | There are exactly four libraries that donate. | 6 | NIv2 | task1515_imppres_longtextgeneration | zs_opt | [
-0.5118271112442017,
0.7627952694892883,
-0.06055117025971413,
0.23885902762413025,
-0.26168861985206604,
-0.7090643644332886,
0.4491502344608307,
0.14250418543815613,
0.3643820583820343,
-0.09528709948062897,
-0.8242964744567871,
-0.022443901747465134,
-0.3355921506881714,
-0.697681725025... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Input: Consider Input: Na całym świecie, z wyjątkiem Ameryki Północnej, skracają się godziny pracy.
Output: ברוב העולם — צפון אמריקה, כידוע, חריגה בנושא הזה — כמות שעות העבודה החלה לרדת.
Input: Consider Input: Dzieci ich n... | Output: [צחוק] אבל 9 מתוך 10 בשעות הראשונות.
| 2 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.6080169677734375,
0.8219914436340332,
-0.22206774353981018,
0.4008554518222809,
-0.774154782295227,
-0.41708484292030334,
0.3897862434387207,
-0.2121845781803131,
0.9653143882751465,
-0.29538288712501526,
-0.8058466911315918,
0.20441225171089172,
-0.8172590732574463,
-0.1279647201299667... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
One example: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.
Solution is here: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
Expla... | でも立ち止まってこそー行く方向が分かるのだと思います | 6 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.2939661145210266,
0.2732972800731659,
-0.22602060437202454,
-0.21110406517982483,
-0.5235692262649536,
0.7477701902389526,
-0.04823090136051178,
0.2593280076980591,
-0.06191917136311531,
-0.6921015381813049,
-0.4105287194252014,
-0.4098201394081116,
-0.9896436929702759,
-0.2725211679935... |
Instructions: In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, teleph... | N | 3 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.381671667098999,
0.37099093198776245,
0.022453758865594864,
-0.5682474374771118,
-0.1022568792104721,
0.3836343288421631,
0.26088452339172363,
0.573790967464447,
0.24400673806667328,
-0.03649062290787697,
-0.6839566826820374,
-0.09662611782550812,
-0.7742069363594055,
-0.253870785236358... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
One example is below.
Q: Afinal de contas elas é que decidem, e decidiram mesmo.
A: אחרי הכל, הם החליטו, והם עשו,
Rationale: The Portugese sentence is correctly translated into Hebrew, because the meaning is preserved.... | ולמרות שאני הולכת לדבר על עבודה במעבדה שלי, העבודה היא בהשראתה ובזכותה של עבודת שטח. | 9 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
-0.0904591828584671,
1.1076903343200684,
0.15226097404956818,
0.02087588422000408,
-0.4455585777759552,
-0.9512993097305298,
0.4189645051956177,
0.10739924013614655,
0.9007363319396973,
-0.22535929083824158,
-0.8143630027770996,
0.45237472653388977,
-0.5361768007278442,
-0.0422031842172145... |
Given the task definition and input, reply with output. Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting... | yes | 5 | NIv2 | task472_haspart_classification | zs_opt | [
-0.9397612810134888,
0.5147994756698608,
0.5046771764755249,
-0.3320458233356476,
0.04255552589893341,
-0.5739243030548096,
0.13054463267326355,
0.4205031991004944,
0.6693248152732849,
-0.7114133834838867,
-0.4290581941604614,
0.16007211804389954,
-0.40970706939697266,
0.18296979367733002,... |
Given the task definition and input, reply with output. 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.
Enteropathogenic Escherichia coli (EPEC) is a common cause of dia... | Immunization of Mice with Lactobacillus casei Expressing a Beta-Intimin Fragment Reduces Intestinal Colonization by Citrobacter rodentium ᰔ † | 5 | NIv2 | task1161_coda19_title_generation | zs_opt | [
0.2033289223909378,
0.4963497519493103,
0.035365618765354156,
0.2642907202243805,
0.036620430648326874,
-0.13001373410224915,
0.17632156610488892,
1.1349633932113647,
0.07282188534736633,
-0.14089758694171906,
0.013295749202370644,
0.34686505794525146,
-0.4614444077014923,
-0.0344941243529... |
Definition: In this task, you are given a question in Persian, and your task is to translate it into English.
Input: برخی از زیباترین خانه های جهان کدام هستند؟
Output: | What are some of the most beautiful houses in the world? | 2 | NIv2 | task653_parsinlu_fa_en_translation | zs_opt | [
-0.5339269638061523,
1.1827023029327393,
-0.1285325586795807,
0.0665963813662529,
-0.2319318950176239,
-0.07792925089597702,
0.18550318479537964,
0.12152975797653198,
0.3819383382797241,
0.6417770385742188,
-0.7740436792373657,
0.8720945119857788,
-0.35081538558006287,
0.39807334542274475,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 deci... | [0.146 0.056 0.094 0.256 0.237 0.001 0.08 0.071 0.041 0.018] | 0 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.14698554575443268,
0.44522687792778015,
-0.7151520252227783,
-0.5487239360809326,
0.3292439579963684,
0.26732808351516724,
0.6115614175796509,
0.19341395795345306,
0.1815813183784485,
0.16179384291172028,
-0.6333588361740112,
0.006921067368239164,
0.03460492938756943,
-0.132867753505706... |
Given the task definition and input, reply with output. Categorize the comment on the basis of insult. If the comment is insulting output Yes, otherwise output No.
Your statement "As our already byzantine tax code has gotten more complicated thanks to Obamacare..." makes me chuckle how every woe we have is blamed on O... | No | 5 | NIv2 | task1724_civil_comments_insult_classification | zs_opt | [
-0.5650807023048401,
0.5517431497573853,
0.3160631060600281,
0.3492206335067749,
-0.07287443429231644,
-0.49020785093307495,
0.42106160521507263,
1.0762529373168945,
0.9609553813934326,
0.9109930396080017,
-0.20868171751499176,
-0.03528591990470886,
-0.1825886219739914,
-0.3536933660507202... |
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... | bunhc | 3 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.890851616859436,
0.4237483739852905,
-0.043588168919086456,
0.33347588777542114,
0.37457647919654846,
-0.8763233423233032,
0.7139366865158081,
-0.12114092707633972,
0.07061324268579483,
-0.1120838075876236,
0.1114603579044342,
-0.22293449938297272,
-0.4281945824623108,
-0.75600469112396... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Example input: A man is spreading shreded cheese on a pizza.
Example output: Un bărbat pune brânză mărunțită pe o pizza.
Example explanation: In the given translation process, the t... | Oameni stau în jurul meselor slab luminate în timp ce zâmbesc și râd. | 3 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.6574233770370483,
0.7691233158111572,
0.5250304937362671,
-0.724358320236206,
-0.2072393000125885,
-0.11864978075027466,
1.293783187866211,
0.7903656959533691,
1.0186185836791992,
-0.3219015598297119,
-0.12173517048358917,
0.963275671005249,
-0.37343060970306396,
0.01935621351003647,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
[Q]: Se eliminamos a pel, vostedes experimentan o tacto desa persoa na súa mente.
[A]: 皮膚がなければあなたは他者の触覚を自身の頭の中で経験します
[Q]: Esta é a chave para comprendermos o enorme poder da consciencia.
[A]: これが意識の大きな力を理解するカギとなります
... | 「核廃棄物を引きうけてもよいか ？ 」と尋ねました信じられないことに５０ ％ の人がイエスと解答しました
| 5 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.7427798509597778,
0.5097399950027466,
0.15240469574928284,
-0.68510502576828,
-0.2017178237438202,
-1.867785930633545,
1.3908847570419312,
-0.170877605676651,
-0.16502657532691956,
-0.3162320554256439,
-0.14538025856018066,
0.2330135852098465,
-0.8325309157371521,
0.35494619607925415,
... |
Q: The provided file includes inquiries about restaurants in German, 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 f... | show me all the of review written by " alex smith " about " chinese " restaurants . | 7 | NIv2 | task256_spl_translation_de_en | zs_opt | [
-0.46888259053230286,
0.542342483997345,
0.15985967218875885,
0.10599415004253387,
0.20244383811950684,
-0.08606278896331787,
0.6522403955459595,
0.5447913408279419,
-0.2438272386789322,
-0.05203317850828171,
0.6959134936332703,
0.34360814094543457,
-0.4796977639198303,
0.00761038810014724... |
instruction:
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
question:
Kiedy byłem na MIT komputer wielkości tej sali miał mniejszą moc niż wasze telefony komórkowe.
answer:
個人的な体験で言うと私がMITにいたときコンピュータはこのホールほどの大きさで計算能力は今の携帯電話より劣っていました
question:
A jeśli nie mówi się o ind... | これは日常からかけ離れた概念なのではなく実は地球上で日々起こっていることなのです
| 9 | NIv2 | task1257_ted_translation_pl_ja | fs_opt | [
-0.47339433431625366,
0.26850324869155884,
-0.6214240193367004,
-0.5229059457778931,
-0.3494899868965149,
-0.6851706504821777,
0.5373905897140503,
0.3013429641723633,
0.6535460948944092,
-0.22205215692520142,
-0.007959604263305664,
0.39920079708099365,
-0.5871407985687256,
0.51020109653472... |
You will be given a definition of a task first, then some input of the task.
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 ... | 23814 | 1 | NIv2 | task1443_string_to_number | zs_opt | [
-0.5723505616188049,
1.1336350440979004,
-0.566109299659729,
-0.5622531771659851,
-0.07453925907611847,
0.05730200931429863,
0.7816765308380127,
0.13589978218078613,
-0.17507264018058777,
-0.2846616506576538,
-0.8158840537071228,
0.08294066786766052,
-0.4662642478942871,
-0.738182306289672... |
Given the task definition and input, reply with output. 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 you... | 32 | 5 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.4836936593055725,
0.14956793189048767,
-0.037481993436813354,
-0.1846136748790741,
0.22433824837207794,
0.05139418691396713,
0.4025990962982178,
0.34021344780921936,
-0.04914585500955582,
-0.13421685993671417,
-0.6126943826675415,
-0.15725889801979065,
-0.7593072652816772,
-0.0315376594... |
Detailed Instructions: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
See one example below:
Problem: In the beginning God created the heaven and the earth.
Solution: در ابتدا، خدا آسمانها و زمین را آفرید.
Explanation: This is a good example. The above s... | و این برای شما فریضه دائمی خواهد بود تابرای بنیاسرائیل از تمامی گناهان ایشان یک مرتبه هر سال کفاره شود.» پس چنانکه خداوندموسی را امر فرمود، همچنان بعمل آورد. | 4 | NIv2 | task655_bible_en_fa_translation | fs_opt | [
-0.09655901789665222,
1.4126242399215698,
-0.02658240497112274,
-0.24561895430088043,
-0.3436986207962036,
-0.9082435369491577,
0.9332966804504395,
0.7857507467269897,
0.7386449575424194,
0.5692248344421387,
-0.3133435845375061,
0.90717613697052,
-0.4462876319885254,
-0.1332719624042511,
... |
Definition: Given a paragraph, your job is to generate a question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the passage.
Input: The centre-left Australian Labor Party (ALP), the centre-right Liberal Party of Australia, the... | What political party is strongest in Melbourne's working class suburbs? | 2 | NIv2 | task1609_xquad_en_question_generation | zs_opt | [
-0.6112123131752014,
0.17229904234409332,
-0.17729347944259644,
-0.06069251522421837,
-0.3080560266971588,
-0.3668866753578186,
0.7528022527694702,
0.1356404423713684,
0.4958716630935669,
-0.1523292511701584,
-0.2797032594680786,
0.24801063537597656,
-0.1073991134762764,
0.1158235743641853... |
Q: In this task, you are given dvd product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Das war wohl nix... . Was wollte der Film eigentlich darstellen? Nach fast überwiegend pos... | NEG | 7 | NIv2 | task480_cls_german_dvd_classification | zs_opt | [
-0.4878289997577667,
0.41963785886764526,
-0.5349915623664856,
0.01721109077334404,
-0.2312854826450348,
-0.11085741966962814,
0.7680640816688538,
1.1549605131149292,
0.3601865768432617,
0.16440868377685547,
0.1348293423652649,
-0.10715209692716599,
-0.2948172688484192,
-0.5745898485183716... |
Given the task definition and input, reply with output. 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 individua... | I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT | 5 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.28790706396102905,
0.665005624294281,
-0.25220412015914917,
0.44746023416519165,
0.02414151094853878,
-0.06675037741661072,
-0.29481518268585205,
0.5474075078964233,
-0.36565911769866943,
-0.1398051679134369,
-0.7957582473754883,
-0.43206703662872314,
-0.36347514390945435,
-0.29009544849... |
Q: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
و پروردگار تو [هرگز] ویرانگر شهرها نبوده است تا [پیشتر] در مرکز آنها پیامبرى برانگیزد که آیات ما را بر ایشان بخواند، و ما شهرها را -تا مردمشان ستمگر نباشند- ویرانکننده نبودهایم.
A: | But your Lord does not destroy habitations without having sent an apostle to their metropolis to read out Our commandments to them. We would never have destroyed cities if their inhabitants were not given to wickedness. | 7 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.3176742196083069,
1.2429941892623901,
0.3459804654121399,
-1.1351866722106934,
-0.688389003276825,
-0.9156989455223083,
0.82612144947052,
0.25412309169769287,
0.041366659104824066,
-0.2785971164703369,
-0.444428414106369,
1.2091619968414307,
-1.1068639755249023,
-0.2534595727920532,
0... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Ex Input:
What can you tell ... | user
| 1 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.2361437976360321,
0.22166261076927185,
-0.5988463163375854,
-0.49123987555503845,
-0.41059017181396484,
0.45160162448883057,
1.0025904178619385,
-0.3194885849952698,
0.6411327123641968,
-0.1421012282371521,
-0.5317208766937256,
-0.229417085647583,
-0.02561100758612156,
0.080555275082588... |
Definition: 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 ha... | Yes | 2 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.3295445442199707,
0.34288179874420166,
0.2742370069026947,
-0.42837443947792053,
-0.44367945194244385,
-0.5281987190246582,
1.150590419769287,
0.27386054396629333,
-0.46191734075546265,
-0.51744544506073,
-0.3179396390914917,
-0.47004786133766174,
-0.7703567147254944,
0.44497108459472656... |
Q: You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movie plots, they will c... | Who has the letters from Jeffrey Aspern? | 7 | NIv2 | task405_narrativeqa_question_generation | zs_opt | [
0.4377933740615845,
0.20609982311725616,
-0.10669759660959244,
-0.01073794811964035,
0.5981703996658325,
-0.6882243156433105,
0.9141512513160706,
0.3848859369754791,
-0.015861736610531807,
-0.017042309045791626,
0.42109203338623047,
0.5493602752685547,
-0.9294707775115967,
0.58737063407897... |
In this task, given a sentence in the Burmese Language, your task is to convert it into the English language.
Q: နောက်ထပ် သတင်းအချက်အလက်များ သည် ၊ အချိန်တွေကြာလာသည် နှင့်အမျှ ၊ ပြည်သူတွေ ဆီမှ ခြားနားသော ရှုထောင့်များ နှင့် စိတ်ဝင်စားမှုများ နှင့်အတူ အလိုအလျောက် ထွက်ပေါ်လာ နိုင်ခြေ ရှိသည် ဟု ဂျူရယ်ဖာ က အလေးအနက်ထား ပြော... | "The only exit is blocked, probably by a fall of ground," said Seshoka.
****
| 4 | NIv2 | task538_alt_translation_bu_en | fs_opt | [
-0.30589622259140015,
-0.15786664187908173,
0.26713645458221436,
0.4737173914909363,
0.031487200409173965,
-0.2874886989593506,
0.012522001750767231,
1.068061351776123,
-0.4051898121833801,
0.1243186742067337,
-0.3452150225639343,
0.2586129605770111,
-0.45870134234428406,
0.092831254005432... |
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 high commonsense plausibility, that is to have reasonable probability of it b... | Вы, вероятно, увидите инструмент в музыкальном магазине. | 4 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.2651641070842743,
0.5855647325515747,
-0.7130054235458374,
-0.3323145806789398,
-0.23991627991199493,
-0.32846370339393616,
0.4086337983608246,
0.9180254936218262,
0.31618982553482056,
0.19845572113990784,
-0.6586441397666931,
-0.26240915060043335,
-0.6072366237640381,
0.391393959522247... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Let me give you an example: Egypt (similar results in Jordan)
The answer to this example can be: مصر (با نتایجی مشابه در اردن)
Here is why: This is a good example. The above sentence is correctly translated from English t... | شورش عظیم هفته گذشته چهره آرام شهر را خدشهدار کرد. | 8 | NIv2 | task663_global_voices_en_fa_translation | fs_opt | [
-0.3677012026309967,
0.9754606485366821,
-0.05178774148225784,
-1.083998680114746,
-0.8936459422111511,
-0.4317452311515808,
1.0167629718780518,
0.567315399646759,
0.12952302396297455,
-0.024828506633639336,
-0.6293045282363892,
1.2088370323181152,
-1.096347451210022,
-0.21433483064174652,... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
One example: English sentence: Lionel Messi is the greatest football player of all time
Solution is here: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Explanation: The output... | Ma kartaan inaad sintaan dilay nin, markaas waxaan idinka soo samatabbixiyey dhibaato oo ay leeyihiin waxaan idinku Imtixaami qaar ka mid ah oo ahaa jirrabyadii; . kadibna aad ku nooleyd dhowr sano ka mid ah dadka degan Madyan, markaas waxaad u timid markii set Muusow "(QS Thaaha: 40) | 6 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
0.013173138722777367,
0.6505982875823975,
-0.3304610848426819,
-0.7436984777450562,
0.1313340961933136,
-1.2037019729614258,
0.15562522411346436,
0.0392107218503952,
0.5266168117523193,
-0.0009570432594045997,
0.19208338856697083,
1.3814014196395874,
-1.1613340377807617,
-0.030648399144411... |
Detailed Instructions: You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
See one example below:
Problem: Although I did enjoy the food here, I was completely unimpressed (and slightly annoyed) by the overpriced margaritas. I ordered a platinum which contained... | 2 stars | 4 | NIv2 | task1292_yelp_review_full_text_categorization | fs_opt | [
0.22202077507972717,
0.5940040349960327,
-0.8963046073913574,
0.23266363143920898,
0.4632965922355652,
-0.5705701112747192,
0.24934469163417816,
1.1620478630065918,
-0.0009774083737283945,
0.09931761771440506,
0.2647208571434021,
-0.5275202989578247,
-0.5193337798118591,
0.6198776364326477... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Input: Comment: You stole my thunder - I couldn't agree more. He will probably cel... | Non-insult | 2 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-0.6175822019577026,
0.9015990495681763,
0.32832443714141846,
0.2358711063861847,
0.0776560977101326,
-0.2014867067337036,
0.21145810186862946,
0.6071480512619019,
0.45914602279663086,
0.1497930884361267,
0.10614900290966034,
0.17563971877098083,
-0.9942875504493713,
-0.6472810506820679,
... |
Given a sentence in Japanese, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
[Q]: 別のシリーズがハバナでシンシナティレッズとボストンレッドソックスの間で演奏されました。
[A]: En La Habana, se jugó otra serie entre los Cincinnati Reds y los Boston Red Sox.
[Q]: Malhar Josh... | La antigua escuela de gramática se convirtió en la Escuela Superior, mientras que el nuevo edificio se convirtió en la Escuela Inferior.
| 5 | NIv2 | task816_pawsx_japanese_spanish_translation | fs_opt | [
-0.060470178723335266,
0.19964103400707245,
-0.6395226716995239,
-0.6023780107498169,
-0.12140597403049469,
-0.37414950132369995,
0.9071085453033447,
0.9095385074615479,
0.27013033628463745,
-0.8295445442199707,
-0.5301437377929688,
0.38472360372543335,
-0.35807228088378906,
-0.15639415383... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Q: الجهاز الحوفي في عمق الجزء الأيمن من الدماغ وهو يتعلّق بمعالجة المشاعر وعملية المكافأة. إذ يمنحك الشعور بالمكافأة عند عمل أشياء ممتعة ، تتضمّن المخاطرة
A: | System limbiczny położony jest głęboko w mózgu i ma udział przetwarzaniu emocji i poczucia satysfakcji z robienia zabawnych rzeczy, | 9 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
-0.014863060787320137,
-0.3951799273490906,
-0.1739334762096405,
-0.7236466407775879,
-0.7564749121665955,
0.5780254006385803,
0.9610376954078674,
-0.006721687037497759,
0.9532630443572998,
-1.3028308153152466,
-0.8610111474990845,
0.194431334733963,
-0.39160701632499695,
0.334461957216262... |
Given the task definition and input, reply with output. In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
['955', 'q', 'h', 'G', 'L... | 15 | 5 | NIv2 | task505_count_all_numerical_elements_in_list | zs_opt | [
-0.6162045001983643,
0.7158792018890381,
0.4729132354259491,
-0.9054678678512573,
-0.04557860270142555,
-0.31865471601486206,
0.5287084579467773,
-0.2630481719970703,
-0.6358185410499573,
0.2463112771511078,
-0.7123720645904541,
0.06405490636825562,
0.2085305154323578,
-0.2134600281715393,... |
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) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications ... | ordinal
| 7 | NIv2 | task212_logic2text_classification | fs_opt | [
0.15832805633544922,
-0.31669193506240845,
-0.2743456959724426,
0.2940019965171814,
0.37020111083984375,
-0.5447395443916321,
0.8126516342163086,
0.6606208086013794,
0.33360329270362854,
-0.018361035734415054,
-0.14502257108688354,
0.07058050483465195,
-0.03315012902021408,
0.4862468242645... |
In this task, you will be presented with a question having multiple possible answers in Polish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Example Input: Question: John nie lubił jeść hamburgera. To sprawiło, że poczuł co?
Options: A... | C
| 3 | NIv2 | task1140_xcsr_pl_commonsense_mc_classification | fs_opt | [
0.2974531054496765,
0.7113776803016663,
-0.12298900634050369,
-0.19163748621940613,
-0.055103566497564316,
-0.7713879942893982,
1.0889736413955688,
-0.24068255722522736,
0.2218456268310547,
-0.02010120451450348,
-0.009669827297329903,
0.9575745463371277,
-0.17378011345863342,
-0.3738917112... |
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
सम्मेलन का उद्देश्य विभिन्न मीडिया इकाइयों के अंतर्गत कार्य कर रहे भारतीय सूचना सेवा के अधिकारियों को अखिल भारतीय स्तर पर एक स्थान पर लाने के लिए एक मंच प... | വിവിധ മാധ്യമ യൂണിറ്റുകളില് പ്രവര്ത്തിക്കുന്ന ഇന്ത്യന് ഇന്ഫര്മേഷന് സര്വീസ് ഉദ്യോഗസ്ഥര്ക്ക് അഖിലേന്ത്യ തലത്തില് ഒത്തുകൂടുന്നതിനും വിവരവിനിമയ രംഗത്തെ ഉയര്ന്ന് വരുന്ന മേഖലകളെ കുറിച്ച് ചര്ച്ച ചെയ്യുന്നതിനുമുള്ള വേദി ഒരുക്കുകയാണ് സമ്മേളനത്തിന്റെ ലക്ഷ്യം. | 0 | NIv2 | task1017_pib_translation_hindi_malayalam | zs_opt | [
-0.11920454353094101,
-0.00575263099744916,
-0.22251905500888824,
-0.2627270817756653,
-0.24209348857402802,
-0.7011502981185913,
-0.03905102238059044,
-0.1522541344165802,
-0.11940093338489532,
0.011808575130999088,
-0.5175884962081909,
-0.03265714272856712,
-0.7391510009765625,
0.6952732... |
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., "sympathetic" ... | Sentence 1: PersonX pulled the reins on her horse when PersonY walked in front of them; _ yelled out in anger.
Sentence 2: PersonX pulled the reins on her horse when PersonY walked in front of them; _ yelled out in fear. | 3 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.5018840432167053,
0.37084102630615234,
-0.2070832997560501,
-0.3622291386127472,
0.2752283811569214,
-0.5517405867576599,
0.7735283374786377,
1.0297818183898926,
0.012057735584676266,
-0.4372347593307495,
-0.5970714092254639,
0.03401058912277222,
-0.7833039164543152,
0.20051884651184082,... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
One example is below.
Q: Sentence: 'breakfast and a glass of milk is on the table'. Remove all words of length '3' in the given sentence.
... | the car is on the side of the road | 9 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.4029097557067871,
0.3511642813682556,
0.11307266354560852,
-0.5869894027709961,
-0.10448741167783737,
-0.5332696437835693,
0.23915955424308777,
0.4590730667114258,
0.2704232931137085,
-0.49058839678764343,
-1.0347163677215576,
-0.5709747076034546,
-0.61310213804245,
-0.28421396017074585,... |
TASK DEFINITION: In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
PROBLEM: Bulgarian: Искане за снемане на парламентарен имунитет: вж. протокола, Engl... | no
| 8 | NIv2 | task273_europarl_classification | fs_opt | [
-0.03600497543811798,
0.15508981049060822,
0.10639023780822754,
0.23815207183361053,
-0.09478721022605896,
-0.43098562955856323,
0.7976362705230713,
0.6718970537185669,
0.5431054830551147,
0.24201898276805878,
-0.048146508634090424,
0.886265754699707,
-0.49641668796539307,
0.32091623544692... |
Detailed Instructions: In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Problem:Swedish: Jag anser det inte nödvändigt att veteranbilar skal... | No | 8 | NIv2 | task314_europarl_sv-en_classification | zs_opt | [
-0.4866999089717865,
0.4765963554382324,
-0.24575378000736237,
0.43134286999702454,
0.07399030029773712,
-0.6068429946899414,
1.2738926410675049,
0.39465102553367615,
0.7041254043579102,
0.09807203710079193,
0.31296730041503906,
0.7339791059494019,
-0.3339928686618805,
0.25301745533943176,... |
instruction:
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
question:
Gujarati: વૂડ્સમાં મોટરસાયકલો ચલાવતી લોકોનું ઝાંખી ફોટો
English:... | Yes
| 9 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt | [
-1.2222468852996826,
0.5908536911010742,
0.5945271253585815,
0.06804705411195755,
-0.1337663233280182,
-0.43796050548553467,
0.09734363853931427,
0.7943487763404846,
-0.14671486616134644,
-0.12505394220352173,
-0.48541200160980225,
0.3641805946826935,
-0.2199634313583374,
0.142416238784790... |
A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
Ex Input:
ਓਬੀਸੀ ਆਯੋਗ ਨੂੰ ਸਾਲਾਂ ਤੋਂ ਸੰਵਿਧਾਨਕ ਸਥਾਨ ਦੇਣ ਲਈ ਮੰਗ ਉਠ ਰਹੀ ਸੀ। ਇਸ ਵਾਰ ਸੰਸਦ ਨੇ ਪਿਛੜਿਆਂ, ਅਤਿ ਪਿਛੜਿਆਂ ਨੂੰ, ਉਸ ਆਯੋਗ ਨੂੰ ਸੰਵਿਧਾਨਕ ਦਰਜਾ ਦੇ ਕੇ , ਇੱਕ ਸੰਵਿਧ... | موجودہ پورٹ اور ایئرپورٹ کی جدید کاری کے ساتھ نئی بندرگاہیں اور ہائی اڈوں کا قیام بھی ہمارے ایجنڈے میں ہے۔
| 1 | NIv2 | task1051_pib_translation_punjabi_urdu | fs_opt | [
0.24050305783748627,
0.345405250787735,
-0.6478705406188965,
0.12860102951526642,
0.2743627727031708,
-0.43332627415657043,
0.4091847538948059,
0.4857286214828491,
-0.041389644145965576,
0.6730043292045593,
-0.37849435210227966,
-0.47348326444625854,
0.3493575155735016,
-0.2212080955505371... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
Ex Input:
M: Hi, Natasha. I see you're going out for ... | Paying a deposit.
| 1 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
0.5895141959190369,
0.16450485587120056,
-0.5971660614013672,
0.17716267704963684,
0.43741536140441895,
0.27351295948028564,
0.437372088432312,
0.60295170545578,
0.26588404178619385,
-0.18731826543807983,
-0.4248059391975403,
-0.2323535829782486,
0.4564433693885803,
0.23836377263069153,
... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
One example: This is my go to place to get the best chicken Pad Thai! Also the price is super good, considering... | NEGATIVE | 6 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-1.4767152070999146,
0.0056942785158753395,
0.15825003385543823,
0.10522960126399994,
0.23238973319530487,
-0.4402889311313629,
0.8806236982345581,
0.49500152468681335,
0.20215848088264465,
-0.16077855229377747,
0.08546840399503708,
0.21692466735839844,
-0.6473456621170044,
0.8346471786499... |
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
One example: The tro... | toys | 6 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
0.3273025453090668,
0.8079888820648193,
-0.2731037139892578,
-0.22396191954612732,
0.160275399684906,
-0.5735105276107788,
0.8393982648849487,
0.5328690409660339,
0.02681422047317028,
-0.3855147957801819,
0.4704893231391907,
0.3848605751991272,
-0.16824565827846527,
-0.06921994686126709,
... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | Solution: Yes | 5 | NIv2 | task359_casino_classification_negotiation_vouch_fair | fs_opt | [
-0.20791541039943695,
0.5179766416549683,
-0.284883052110672,
0.02023126929998398,
-0.7020045518875122,
-0.46991991996765137,
0.8698453903198242,
0.7834292650222778,
0.047985274344682693,
0.17074045538902283,
0.15452934801578522,
-0.10966701805591583,
-0.793228268623352,
-0.147660851478576... |
Detailed Instructions: 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.
See one example below:
Problem: 2, 3, ['a'... | 8011, R, M | 4 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.35761016607284546,
-0.05688862502574921,
-0.8916628956794739,
-0.5742996335029602,
-0.17161141335964203,
-0.449565052986145,
0.8072068691253662,
0.5408289432525635,
-0.4233201742172241,
-0.0005621584132313728,
-0.45898672938346863,
0.2001984864473343,
-0.05156718194484711,
0.471361935138... |
Definition: In this task, you are given a string with duplicate characters ocurring in the string. You need to return the character which is ocurring with the maximum frequency. In case of a tie, return the character with the least ascii value.
Input: ujksgfumsawrdverpmngnjecntcxxxznwcoxxhkx
Output: | x | 2 | NIv2 | task1188_count_max_freq_char | zs_opt | [
-0.6018334627151489,
0.7650658488273621,
-0.07022228837013245,
-0.4398721158504486,
-0.06771783530712128,
0.15702912211418152,
0.8955687284469604,
-0.17307208478450775,
-0.07120688259601593,
0.023724693804979324,
-0.07157450914382935,
0.07344108819961548,
-0.2306065857410431,
0.14377081394... |
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