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 |
|---|---|---|---|---|---|---|
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: Obstructive sleep apnea (OSA) is a common disorder characterized by chronic intermittent hypoxia (CIH). OSA is prevalent in obese subjects... | Bread and durum wheat genotypes were characterized by a different physiological reaction to water stress and by a substantially different molecular response. The genome organization accounted for differences in the expression level of hundreds of genes located on the D genome or controlled by regulators located on the ... | 0 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.6055390238761902,
0.4857424795627594,
-0.4994608163833618,
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-0.6949291229248047,
-0.3746778666973114,
-0.3943072259426117,
0.2553980052471161,
... |
Detailed Instructions: 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 buildin... | I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK | 9 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
-0.2502750754356384,
0.6814514398574829,
-0.29872792959213257,
-0.17955990135669708,
0.16477429866790771,
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0.3818950653076172,
0.06473494321107864,
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-0.7158724069595337,
0.3243808448314667,
-0.7053840160369873,
0.046554502099752... |
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'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 s... | ab | 0 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
0.4475897550582886,
0.1930874139070511,
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0.8604874610900879,
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-0.3423164486885071,
0.04621613025665283,
-0.16500715911388397,
-0.0810878798365593,... |
A question is presented to you in this task, and your job is to write a potentially correct answer.
what time zone in the uk? | Greenwich Mean Time | 0 | NIv2 | task1412_web_questions_question_answering | zs_opt | [
-0.2631533145904541,
1.1866023540496826,
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0.235909342765... |
A text is given in Gujarati. Translate it from the Gujarati language to the Telugu language. The translation must not omit or add information to the original sentence.
పరిశ్రమ ద్వారా పోలర్ ఎస్ఎల్వి ని ఉత్పత్తి చేయడం; | ઉદ્યોગો મારફતે પોલર એસએલવીનું ઉત્પાદન; | 0 | NIv2 | task1014_pib_translation_telugu_gujarati | zs_opt | [
-0.7605005502700806,
0.9516571760177612,
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0.45281893014907... |
Detailed Instructions: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Q: A found tape about 3? guys having fun torturing a woman in several inhuman ways.Yeah, spoiler.First of all, the acting made this sh... | negative | 9 | NIv2 | task284_imdb_classification | zs_opt | [
-0.20835956931114197,
0.06554827839136124,
-0.5072917342185974,
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-0.34164875745773315,
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-0.546935975551605... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Question: John nie wiedział, dl... | A | 6 | NIv2 | task1140_xcsr_pl_commonsense_mc_classification | zs_opt | [
0.3120689392089844,
0.6678498983383179,
0.06998981535434723,
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0.43043312430381775,
0.45088011026382446,
-0.3633524179458618,
-0.771818995475769,... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Q: זוהי מדגרה עבור כתריסר פרוייקטים, שכולם נוגעים להמשכיות ארוכת-טווח.
A: | Si tratta di un incubatrice per circa una dozzina di progetti, e tutti hanno a che fare con la continuità sul lungo termine. | 4 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.2570599913597107,
0.12451962381601334,
0.07742827385663986,
0.2151910811662674,
-0.1761702299118042,
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-0.4538157284259796,
0.3918836712837219,
0.13786202669143677,
-0.6910661458969116,
-0.02089865505695343,
0.4496004283428192,
-0.5109649300575256,
0.1378906071186065... |
Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences are roughly equivalent, b... | 1
| 5 | NIv2 | task1347_glue_sts-b_similarity_classification | fs_opt | [
-0.5624005198478699,
0.32594233751296997,
-0.3460281491279602,
0.18755236268043518,
0.2881152629852295,
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0.43579185009002686,
1.809384822845459,
0.518432080745697,
0.13375821709632874,
-0.8843258619308472,
-0.138035848736763,
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... |
Given the task definition and input, reply with output. 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 wro... | yes | 5 | NIv2 | task241_tweetqa_classification | zs_opt | [
-1.1623492240905762,
0.9122915863990784,
0.3816996216773987,
0.7326886653900146,
-0.15588179230690002,
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0.23899242281913757,
0.030201014131307602,
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0.5126954317092896,
-0.2712641954421997,
-0.05382191017270088,
0.15064764022827148,
-0.0744660347700119... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive statements that are underh... | Yes | 4 | NIv2 | task607_sbic_intentional_offense_binary_classification | zs_opt | [
-0.7533901929855347,
0.38089776039123535,
1.1013696193695068,
0.1480223834514618,
0.16004694998264313,
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0.29663509130477905,
0.8285096883773804,
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0.30232274532318115,
-0.10553449392318726,
-0.7449690699577332,
-0.5618124604225159,
-0.7831289172172546... |
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.
--------
Question: About 70 caravans and motor homes have been destroyed in a fire at a ... | Hong Kong workers to enjoy minimum wage for first time
| 7 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.6887458562850952,
0.7383392453193665,
-0.2784798741340637,
-0.8200199007987976,
-0.011434763669967651,
-1.3259990215301514,
-0.07021716982126236,
0.5568959712982178,
-0.17864300310611725,
0.22463542222976685,
-0.22519543766975403,
0.24001847207546234,
-0.16792526841163635,
0.04985674098... |
Detailed Instructions: You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Q: Event:PersonX gets my money back... | grateful. | 9 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.2751256823539734,
0.07574784755706787,
-0.02183789201080799,
-0.4461590647697449,
-0.608256995677948,
-0.8649928569793701,
1.3680684566497803,
0.45793524384498596,
-0.028614535927772522,
-0.2093273401260376,
0.7486770153045654,
0.09775327146053314,
-0.8394313454627991,
0.0690350532531738... |
Detailed Instructions: Two analogies that signify affordances are given in the form "A : B. C : ?". Affordance is the possibility of an action being done on an object, for example book is an affordance of writing. The phrase "A : B" implies that B is an affordance of A. Your task is to replace the question mark (?) wit... | wound | 9 | NIv2 | task1153_bard_analogical_reasoning_affordance | zs_opt | [
0.04960212484002113,
1.0752052068710327,
-0.180062398314476,
0.03081345185637474,
-0.35464704036712646,
-0.3332670331001282,
1.3400745391845703,
0.3566015362739563,
0.2277766913175583,
-0.2172655463218689,
-0.5480301380157471,
0.3088102340698242,
0.28033900260925293,
0.21837511658668518,
... |
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Q: The name of the game at this place is making sure you create more demand than you can supply. I called before purchasing a Groupon to get the details. It all sounded good. I told her we would be there on a ... | 4 stars
****
| 4 | NIv2 | task1292_yelp_review_full_text_categorization | fs_opt | [
0.2574464976787567,
0.18945840001106262,
-0.28163835406303406,
-0.2417430430650711,
0.42582112550735474,
-0.5436262488365173,
0.9424188137054443,
1.640763759613037,
-0.015611996874213219,
-0.05743294954299927,
0.16983525454998016,
0.19801294803619385,
-0.235329270362854,
0.1581009328365326... |
Given a text paragraph and a fact, generate 'True' if the fact can be inferred/concluded from the paragraph, otherwise generate 'False'. The input passage contains as set of logical statements so the fact can be marked either 'True' or 'False' if the relavant info regarding the fact is present in the given passage. If ... | True
| 0 | NIv2 | task966_ruletaker_fact_checking_based_on_given_context | fs_opt | [
0.3422108292579651,
0.31317025423049927,
-0.19441959261894226,
1.0307557582855225,
-0.008883494883775711,
-1.0941435098648071,
0.2636607885360718,
0.49453848600387573,
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0.5454837083816528,
-0.06304343044757843,
0.2592146396636963,
-0.6216548681259155,
0.152075558900833... |
Given the task definition and input, reply with output. In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
These results point towards post - translational steric and / or allosteric control... | beta - globin | 5 | NIv2 | task1481_gene_extraction_bc2gm_dataset | zs_opt | [
-0.6464706063270569,
0.3661702573299408,
-0.21553584933280945,
-0.2896982431411743,
-0.8392026424407959,
-0.18282505869865417,
0.21505866944789886,
-0.39949360489845276,
0.437500536441803,
-0.6846849918365479,
-0.6682547926902771,
0.4949747920036316,
-0.53863525390625,
0.7913978099822998,
... |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
[Q]: We all bleed the same. Stop with the Radical Fascist Liberal Left Political Pandering. ALL LIVES MATTER. We ... | Hope Speech
| 5 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
0.127505362033844,
0.45930224657058716,
0.02186000347137451,
0.16139203310012817,
-0.9436452984809875,
-1.7012999057769775,
0.3729395568370819,
1.081638216972351,
0.21574726700782776,
0.31513822078704834,
-0.25226518511772156,
0.12291068583726883,
-0.18524155020713806,
0.06037694588303566,... |
Definition: Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Input: @KRISH R T R vera Lev... | Not Hope Speech | 2 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.5039433240890503,
-0.13249608874320984,
0.8233209252357483,
0.8579870462417603,
-0.1454824060201645,
-0.8888528347015381,
-0.2208799421787262,
0.6139506101608276,
-0.43672245740890503,
0.47794222831726074,
-0.028903072699904442,
0.09343452751636505,
-0.06851369887590408,
-0.477454870939... |
Given the task definition and input, reply with output. In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
It was absolutely bizarre . The whole thing was absurd and just impossible . Except she was seeing it , and the mor... | What may be the reason for her shock ? | 5 | NIv2 | task596_mocha_question_generation | zs_opt | [
-0.18491239845752716,
1.5308799743652344,
0.6389751434326172,
-0.06805524975061417,
-0.5052527189254761,
0.32165056467056274,
0.28424525260925293,
0.7339433431625366,
0.7034909725189209,
-0.38446593284606934,
-0.9685428142547607,
-0.02252086065709591,
-0.5973895788192749,
0.145489931106567... |
Teacher:In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'N... | None | 6 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.12849745154380798,
0.32165414094924927,
-0.14794489741325378,
-0.0035639952402561903,
-0.6394656896591187,
-0.8510221242904663,
1.7317779064178467,
0.2636949121952057,
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-0.7487565279006958,
0.08192813396453857,
0.1939372718334198,
-0.12389808148145676,
-0.03176850825... |
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're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) ... | B | 0 | NIv2 | task309_race_answer_generation | fs_opt | [
0.18209625780582428,
0.20813769102096558,
-0.22145570814609528,
-0.16126778721809387,
0.33956778049468994,
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1.0723841190338135,
1.0406616926193237,
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-0.23893530666828156,
0.3278856873512268,
0.29270848631858826,
0.418278902769... |
Definition: 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.
Input: T... | rock | 2 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
0.349884957075119,
0.565498948097229,
-0.19822797179222107,
-0.07144677639007568,
0.11377378553152084,
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0.07849504798650742,
0.4827321767807007,
0.2669888138771057,
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0.282573938369751,
0.13430438935756683,
-0.3662816882133484,
-0.13120418787002563,
... |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. A... | humans generate heat mainly by keeping their metabolic rate high. | 4 | NIv2 | task038_qasc_combined_fact | zs_opt | [
0.27534717321395874,
0.46617233753204346,
-0.5765666961669922,
0.2431374490261078,
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0.746691882610321,
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-1.198385238647461,
0.33257484436035156,
-0.6015288829803467,
0.260267436504364,
... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | Output: Work with the weights.
| 2 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-1.0137221813201904,
0.7156676650047302,
-0.2454356849193573,
-0.11187630891799927,
-0.0025136845652014017,
-0.5577436685562134,
-0.3144279718399048,
0.8846887946128845,
0.2385910153388977,
-0.00612014252692461,
-0.3920920491218567,
0.0838717371225357,
-0.8620689511299133,
-0.2458581626415... |
Teacher: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 b... | jump opposite right and walk around right | 6 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.20485806465148926,
0.9270833730697632,
-0.42363810539245605,
-0.01890302076935768,
-0.1793634295463562,
0.3864409923553467,
0.1286567747592926,
0.7287898063659668,
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-0.43340376019477844,
-0.721781849861145,
-0.33755308389663696,
-0.7832157611846924,
-0.08110625296831... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Problem:Ci vogliono circa due secondi per produrlo.
Solution: | את הדבר הזה לוקח כשתי שניות להכין. | 8 | NIv2 | task1251_ted_translation_it_he | zs_opt | [
-0.17777332663536072,
0.7938023805618286,
-0.05094623565673828,
0.7711876630783081,
-0.5873661637306213,
0.3400583267211914,
-0.5435459613800049,
1.1034150123596191,
0.3633812367916107,
-0.551922082901001,
-0.519386887550354,
-0.21794109046459198,
-0.4659765362739563,
0.23338723182678223,
... |
You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your... | entails
| 0 | NIv2 | task1529_scitail1.1_classification | fs_opt | [
0.9606935977935791,
0.29110220074653625,
-0.3214259147644043,
-0.24213725328445435,
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0.5403338670730591,
1.1760774850845337,
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-1.0830000638961792,
0.26278841495513916,
-0.5244966745376587,
0.0029872129671275... |
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting ... | 5868 | 4 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
-0.04392770677804947,
0.33594685792922974,
-0.5218271017074585,
-0.07102279365062714,
0.12996146082878113,
0.206552654504776,
0.5399593114852905,
0.18516257405281067,
-0.23837023973464966,
-0.20591582357883453,
-1.3234471082687378,
-0.18772254884243011,
0.10550598055124283,
-0.085019342601... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Example: Dialogue 1: 'when did i called u ugly pony when did you ever call fuck u ur rlly a mad pers... | Solution: yes | 5 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.7125746011734009,
0.3757671117782593,
0.5126117467880249,
-0.49978139996528625,
-0.5518626570701599,
0.8271512985229492,
0.8916616439819336,
-0.1363936960697174,
-0.10884325206279755,
-0.4131357669830322,
-0.1517360806465149,
-0.16686174273490906,
-0.21172161400318146,
0.141444474458694... |
Given the task definition and input, reply with output. 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.
4, 8, ['... | Y, T, i | 5 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
-0.5348712205886841,
0.644365131855011,
-0.46557116508483887,
-0.6179091334342957,
-0.6027724146842957,
-0.03018869459629059,
0.08136901259422302,
-0.3122914433479309,
0.0680634155869484,
-0.23936845362186432,
-0.7016065120697021,
-0.13853344321250916,
0.2764378786087036,
0.315352916717529... |
Given the task definition and input, reply with output. In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists y... | [['0', 'N', 'W', 'K', 'R', '5'], ['0', 'N', 'W', 'K', 'R', 'V'], ['0', 'N', 'W', 'K', '5', 'V'], ['0', 'N', 'W', 'R', '5', 'V'], ['0', 'N', 'K', 'R', '5', 'V'], ['0', 'W', 'K', 'R', '5', 'V'], ['N', 'W', 'K', 'R', '5', 'V']] | 5 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.31585758924484253,
0.7366777062416077,
-0.21731966733932495,
0.5195215344429016,
0.16265800595283508,
-0.10412899404764175,
0.325229674577713,
0.4437158703804016,
0.25979918241500854,
-0.06601840257644653,
-0.4202016592025757,
0.1657693237066269,
-0.20386990904808044,
-0.059238195419311... |
You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two possible outputs, i.e... | elementary | 6 | NIv2 | task1712_poki_classification | fs_opt | [
-0.2819083034992218,
0.8520773649215698,
0.22675356268882751,
-0.3956262469291687,
-0.5888283252716064,
-0.777704119682312,
0.08863817900419235,
0.5184071063995361,
0.20895864069461823,
-0.7317426204681396,
-0.5123989582061768,
0.5659247636795044,
0.07387864589691162,
-0.19166001677513123,... |
This task is to translate a news commentary given in Italian language into Zhuang language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Ma c’è ancora una grande spazio “interno” per la crescita di... | 但随着效率较低的国内企业对高效企业的竞争力有所提高，还有大量“内部”空间可用于赶超增长。新兴国家内部的“全要素生产率”——即资本和劳动的联合生产率——的分散度很大。此外，农业、能源、运输和贸易等部门也具有赶超增长潜力，可以通过进技术口、制度诀窍和组织模式实现。 | 0 | NIv2 | task1376_newscomm_translation | zs_opt | [
-0.664293110370636,
0.9013506174087524,
-0.30362290143966675,
0.11510518193244934,
-0.15122708678245544,
0.21655642986297607,
0.3835095465183258,
1.2416493892669678,
-0.40011438727378845,
-0.0034669823944568634,
-1.0648066997528076,
0.4697849154472351,
-0.5242893695831299,
0.18546545505523... |
Detailed Instructions: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Q: Sentence-1: That's the secret plan.<sep>Sentence-2: I could airbnb it .
A: | Yes | 9 | NIv2 | task566_circa_classification | zs_opt | [
-0.5011554956436157,
0.5436208248138428,
0.05955256521701813,
-0.13597194850444794,
-0.09796310216188431,
-0.7471851706504822,
1.0737742185592651,
0.6003037691116333,
0.11613701283931732,
0.10600730031728745,
-0.17919251322746277,
-0.06169158220291138,
-0.8726717829704285,
-0.3567427098751... |
Given the task definition, example input & output, solve the new input case.
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere with... | informal | 1 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
-0.06935857236385345,
0.39978456497192383,
-0.51332026720047,
-0.18438439071178436,
0.19253501296043396,
-0.2981104850769043,
0.3826407790184021,
0.6605610847473145,
-0.03290141373872757,
-0.0168861486017704,
-0.7751508951187134,
-0.36492249369621277,
-0.24758881330490112,
-0.0418073385953... |
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 event. You have to... | No
| 6 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
-0.06960776448249817,
0.12084157019853592,
0.25680553913116455,
0.14161208271980286,
-0.39511609077453613,
-1.0580558776855469,
1.0260941982269287,
0.5229915380477905,
-0.7360628843307495,
-0.5459849238395691,
-0.24887004494667053,
-0.5153024196624756,
-1.0859743356704712,
0.29545313119888... |
Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: Consider Input: Hindi tinanggap sa mga pampublikong pagdiriwang ang alinman sa mga politiko ng Nunavut o ang mga pinuno ng Inuit.
Output:... | Output: 「しかし核兵器開発を競い、イスラエルを地図から消し去ろうと公然と脅かすイランのテロリスト体制については、決議の中で言及されていない。」
| 2 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
-0.4655117690563202,
0.18428011238574982,
-0.3930034339427948,
-0.4112403690814972,
0.08107587695121765,
-0.47643768787384033,
-0.03156646341085434,
0.5701904296875,
0.10409431904554367,
-0.4945402443408966,
-0.44956034421920776,
0.9561578035354614,
-0.7261871099472046,
-0.2716432809829712... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Obscene
****
| 4 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.776212751865387,
0.4417897164821625,
0.4717687964439392,
0.28534066677093506,
0.3139646649360657,
-0.5211730003356934,
0.33908867835998535,
0.54274582862854,
0.3968389630317688,
0.511837363243103,
-0.18694519996643066,
-0.15351678431034088,
-0.4208334982395172,
-0.9634495973587036,
0.... |
Detailed Instructions: Given a sentence in German, generate a new German 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 reasonabl... | Verschiedene Länder verwenden interne Währungsformen. | 8 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.3057323694229126,
0.798938512802124,
0.1972663849592209,
-0.5820925235748291,
-0.3983210623264313,
-0.07599624246358871,
1.32582426071167,
0.7744751572608948,
0.2935868501663208,
-0.47512882947921753,
-0.3307746648788452,
0.6380698084831238,
-0.9363892078399658,
0.1558314561843872,
-0... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Category: 21st CENTURY WORLD LEADERS
Clue: "Big Love" meets "The West Wing"? Pres. Jacob Zum... | the african queen
| 0 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
-0.6220121383666992,
0.8744752407073975,
-0.3926818072795868,
-0.6010808348655701,
0.0034083130303770304,
0.668343722820282,
0.41668540239334106,
-0.26634958386421204,
0.3667437732219696,
-0.01634962111711502,
-0.02939332276582718,
0.14680929481983185,
-0.3963143229484558,
-0.1731473952531... |
Part 1. Definition
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 a... | count | 7 | NIv2 | task212_logic2text_classification | fs_opt | [
0.24185937643051147,
-0.2959682047367096,
-0.4625302851200104,
0.36128389835357666,
0.36983439326286316,
-0.47203871607780457,
0.9494606256484985,
0.6658531427383423,
0.3795648515224457,
-0.10804465413093567,
-0.09636169672012329,
0.17483550310134888,
-0.11203121393918991,
0.41239231824874... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in the English language, translate it into the Nepali language.
Text: If the research problem is not clear then review of literature can help focus on the problem.
Solution: अथवा ... | शिवगंगानदीको माथि पहरोमा नौवटा मूल भएको नौमूले भन्ने स्थान छ
| 0 | NIv2 | task1514_flores_translation_entone | fs_opt | [
-0.2541694939136505,
0.23537835478782654,
0.2323848158121109,
-0.41328519582748413,
0.34730809926986694,
-0.8657394647598267,
1.3223674297332764,
-0.12395447492599487,
0.14901116490364075,
-0.06475412100553513,
0.19870518147945404,
-0.33675622940063477,
-1.4742457866668701,
0.1391931772232... |
Part 1. Definition
Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Part 2. Example
1968 winter olympics
Answer: Which Frenchman won the Alpine triple-crown at the 1968 Winter Olympics?
Explanation: Both these questions ask a specific fact as the answ... | Dora Maar au Chat and The Weeping Woman are both portraits by which artist of his lover? | 7 | NIv2 | task897_freebase_qa_topic_question_generation | fs_opt | [
0.4354039430618286,
0.4793755114078522,
-0.6858474016189575,
-0.37490832805633545,
-0.18001115322113037,
0.3471567630767822,
1.1030819416046143,
-0.1372007131576538,
0.20647066831588745,
-0.7502012252807617,
-1.1835509538650513,
0.5192728638648987,
-1.0351663827896118,
-0.0494571328163147,... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Let me give you an example: Why? Because that profit allows whatever solution we've created to be infinitely scalable.
The answer to this example can be: Perché? Perché quel profitto fa sì che qualunque soluzione da noi cr... | E quindi come mi sono comportata con loro? | 8 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.2557772397994995,
1.0470201969146729,
0.3430951237678528,
0.17086833715438843,
-0.48132914304733276,
-0.7821987867355347,
0.28904640674591064,
0.9542702436447144,
0.03733918070793152,
-0.07850455492734909,
-0.03005373291671276,
0.7323018312454224,
-0.7713756561279297,
0.2455837577581405... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam language. The translation must not omit or add information to the original sentence.
Q: જો આપણે એક સારામાં સારું બસ સ્ટેન્ડ બનાવી દઈએ, ફાઈવ સ્ટાર રેલવે સ્ટેશન બનાવી દઈએ, તો ત્યાંનો નાગરિક એમ નથી કહેતો કે શાબાશ બ... | എന്റെ പ്രിയപ്പെട്ട നാട്ടുകാരെ, നമ്മുടെ രാജ്യം തീര്ച്ചയായും മുന്നോട്ടുപോകണം, എന്നാല് പുരോഗതിയുടെ വര്ദ്ധനവിന് ഇനി രാജ്യത്തിന് അധികം കാലം കാത്തിരിക്കാനാവില്ല, നാം വലിയ കുതിപ്പ് നടത്തണം, നാം നമ്മുടെ ചിന്തകള് മാറ്റണം. | 9 | NIv2 | task1041_pib_translation_gujarati_malayalam | zs_opt | [
0.013384291902184486,
0.13613027334213257,
-0.0491466149687767,
-0.2978522777557373,
0.15886974334716797,
-0.8202794790267944,
0.936658501625061,
0.2503657042980194,
0.07646170258522034,
-0.1497131586074829,
-0.6117973923683167,
0.0811285749077797,
-0.30728083848953247,
0.01999454572796821... |
Part 1. Definition
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 ... | Option C | 7 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.3348729610443115,
0.10049164295196533,
-0.4003494679927826,
-0.6917058825492859,
0.26827526092529297,
-0.1506449580192566,
0.45457667112350464,
0.6854439377784729,
0.1047770082950592,
-0.03814190626144409,
-0.6698991656303406,
0.04810444265604019,
-0.4734572172164917,
-0.5252881646156311... |
Definition: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (... | Does thirty-minutes ' exposure to smartphone call trigger neutrophil activation in vitro? | 2 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
-0.10148253291845322,
0.1802799105644226,
-0.5859123468399048,
0.15055453777313232,
0.266559898853302,
-0.34499144554138184,
0.5901219844818115,
0.6719933748245239,
0.2615772485733032,
0.33124133944511414,
-0.8266423940658569,
0.6955137252807617,
-0.49122947454452515,
0.10799439996480942,
... |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the lette... | E | 5 | NIv2 | task534_farstail_entailment | zs_opt | [
-0.5417017936706543,
-0.07475077360868454,
0.060020528733730316,
-0.14681047201156616,
-0.1965668797492981,
-0.04773016273975372,
0.546665608882904,
0.06211119145154953,
0.40214598178863525,
-0.14947830140590668,
-0.5345771312713623,
-0.04370935261249542,
-0.7420073747634888,
0.01065441407... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Soldado: ¡Hijos de puta!
Output: | Żołnierz: Skurwiele! | 1 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.6530755758285522,
0.8840358257293701,
-1.0688846111297607,
0.4707898497581482,
-0.3615401089191437,
-0.3184589743614197,
0.7564510107040405,
-0.3268764615058899,
0.35840845108032227,
-0.16908831894397736,
0.1854499876499176,
0.4324991703033447,
-0.5755802989006042,
-0.3141787052154541,
... |
Teacher: In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Teacher: Now, under... | Entailment | 2 | NIv2 | task463_parsinlu_entailment_classification | fs_opt | [
-0.8033013939857483,
0.24679848551750183,
0.1684563010931015,
-0.0719742625951767,
-0.24193120002746582,
-0.3872735798358917,
1.066754937171936,
0.40056777000427246,
0.4664498567581177,
0.039739351719617844,
-0.456575870513916,
0.5295093059539795,
-0.3585318326950073,
-0.222950741648674,
... |
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: The Wikimedia Foundation, the mother organization of the p... | विकिमीडिया फाउंडेशन, लोकप्रिय विकिपीडिया विश्वकोश की माँ संगठन और एक खोज इंजन कंपनी, Answers.com, ने एक नई साझेदारी की घोषणा की। | 2 | NIv2 | task432_alt_en_hi_translation | zs_opt | [
-0.24071770906448364,
-0.1389188915491104,
0.7279110550880432,
0.01383096445351839,
0.05387462303042412,
0.010174715891480446,
0.39440345764160156,
0.11247686296701431,
0.2513064444065094,
-0.15380503237247467,
-0.07923253625631332,
-0.034276317805051804,
-0.3715434670448303,
0.24404340982... |
You will be given a definition of a task first, then some input of the task.
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Mix together 1/2 c. strong coffe and baking soda, set aside... | cake, shortening, sugar, eggs, coffee, baking soda, T, chocolate, vanilla, caramel frosting, brown sugar, margarine, T cream, baking powder | 1 | NIv2 | task571_recipe_nlg_ner_generation | zs_opt | [
0.5059732794761658,
0.594030499458313,
0.5325939059257507,
-0.03583439439535141,
0.2316206693649292,
0.6872909069061279,
0.05784595012664795,
0.8032084703445435,
-0.6167734861373901,
-0.0866648480296135,
0.4162554442882538,
-0.20419687032699585,
-0.1343599557876587,
-0.13906267285346985,
... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Oh' someone thinks I make no sense and mentally sound is hospitalization therefore what kind... | When mentally ill people committ crimes as a result of their mental illness, do they go to jail or a mental hospital? Why? | 6 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.1916729211807251,
0.6494147181510925,
0.4689745008945465,
-0.7521266341209412,
-0.30642879009246826,
-0.2119607776403427,
0.9131636023521423,
0.5837006568908691,
0.27317100763320923,
-0.02876049093902111,
0.2636388838291168,
0.09324374794960022,
-0.4284801185131073,
-0.36050987243652344... |
Definition: In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Input: Context: Carson pissed and moaned the entire trip be... | No | 2 | NIv2 | task579_socialiqa_classification | zs_opt | [
0.026687849313020706,
-0.2855180501937866,
0.20683524012565613,
0.1959673911333084,
0.021279226988554,
-0.46285519003868103,
0.4059285521507263,
0.24132344126701355,
0.15014180541038513,
0.3734787404537201,
-0.08603809773921967,
0.0037371069192886353,
0.08570948988199234,
-0.46250954270362... |
Part 1. Definition
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Part 2. Example
Category: HOMOPHONIC PAIRS
Clue: It's a notation on a percu... | david rabe | 7 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
-0.41450849175453186,
0.4293268620967865,
-0.6055065393447876,
0.3175761103630066,
0.5050100088119507,
-0.07505273073911667,
0.8773607015609741,
0.02231118083000183,
0.38727134466171265,
-0.08362308889627457,
-0.26371023058891296,
0.26960378885269165,
-0.4794020354747772,
-0.34499239921569... |
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 | [
-0.10464411973953247,
0.4249463379383087,
-0.3721485137939453,
0.17409810423851013,
0.15295670926570892,
-0.35612741112709045,
-0.1267530769109726,
0.8937650918960571,
-0.44313859939575195,
0.5062437653541565,
-0.5175992250442505,
-0.001071193371899426,
-0.08303147554397583,
-0.25157424807... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Ex Input:
Eso es lo que realmente hace de este, un descubrimiento increíble.
Ex Output:
これは本当にすごい発見です
Ex Input:
Vamos de máquina en máquina, de página a página, y ahora de datos a datos.
Ex Output:
機器と機器から、ページとページ、そして... | 私達の周りはあらゆる種類の埋め込みや眠れなくさせる麻薬で溢れ返っています
| 1 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.05725325644016266,
-0.021044231951236725,
-0.8061612844467163,
0.4631320834159851,
-1.022193431854248,
-1.1513763666152954,
0.6750986576080322,
0.8423647284507751,
0.8838448524475098,
-0.5153237581253052,
-0.7121702432632446,
0.5339535474777222,
0.10062287747859955,
0.33397606015205383,... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentence... | 1 | 1 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.17235112190246582,
0.6225205659866333,
-0.007715968880802393,
0.043184828013181686,
-0.008258173242211342,
0.06830231845378876,
0.18663425743579865,
1.132927656173706,
-0.14469805359840393,
0.10943553596735,
-0.2687109708786011,
-0.09244123101234436,
0.27750274538993835,
-0.274916201829... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
[Q]: Dialogue 1: 'you have how many eyes 8 or 12 one eye'. Dialogue 2: 'yes i need to see a show to... | yes
| 5 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.7184169888496399,
0.21045824885368347,
0.36157462000846863,
-0.20858730375766754,
-0.3229747414588928,
0.36453014612197876,
0.7506967186927795,
-0.22541582584381104,
0.13471323251724243,
-0.38020986318588257,
0.025881178677082062,
-0.491629034280777,
-0.39412474632263184,
0.360935032367... |
A text is given in Hindi. Translate it from the Hindi language to the Oriya language. The translation must not omit or add information to the original sentence.
Q: इस समझौते का उद्देश्य स्मार्ट सिटी, शहरी सार्वजनिक परिवहन प्रणाली का विकास, शहरी व्यवस्थाओं और सुविधाओं (जल आपूर्ति और सिवरेज प्रणाली), ठोस कचरे का निपटान ... | ଡିରେକ୍ଟୋରେଟ ଅଫ୍ ଏଜୁକେସନ, ଦିଲ୍ଲୀ ଏନସିଟି, ଏବଂ ନୂଆଦିଲ୍ଲୀ ମ୍ୟୁନିସିପାଲ କର୍ପୋରେସନ (NDC) ଅଧୀନରେ ପରିଚାଳିତ ସ୍କୁଲ ଗୁଡ଼ିକରେ କେନ୍ଦ୍ର ସଂସଦୀୟ ବ୍ୟାପାର ମନ୍ତ୍ରଣାଳୟ ଦ୍ୱାରା ପରିଚାଳିତ 52ତମ ଯୁବ ସଂସଦ ପ୍ରତିଯୋଗିତା-2017-18ର ପୁରସ୍କାର ବଣ୍ଟନ ସମାରୋହ ନୂଆଦିଲ୍ଲୀରେ ଅନୁଷ୍ଠିତ ହୋଇଯାଇଛି ।
****
| 4 | NIv2 | task985_pib_translation_hindi_oriya | fs_opt | [
-0.07820004224777222,
0.952813446521759,
0.49108484387397766,
-0.38649290800094604,
0.5565096139907837,
-0.43702825903892517,
0.6007519960403442,
1.138658881187439,
-0.1328272521495819,
-0.12013325095176697,
0.10115103423595428,
0.503584623336792,
-0.5360531806945801,
0.19249406456947327,
... |
Q: You are given a statement written in Telugu. 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 .
Statement: గ్రామంలో ఒక ప్రైవేటు బాలబడి ఉంది. ప్రభుత్వ ప్రాథమిక పాఠశాలలు రెండు, ప్రభుత్వ మాధ్యమిక పాఠశాల ఒకటి ఉన్... | నరసింహపురం | 7 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | zs_opt | [
0.4017447233200073,
0.8947944045066833,
0.6499417424201965,
-0.3772932291030884,
0.07922975718975067,
-1.0165479183197021,
-0.24775934219360352,
1.2205731868743896,
0.16253125667572021,
-0.20861861109733582,
0.26560840010643005,
0.10864205658435822,
-0.027001481503248215,
-0.40240406990051... |
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
... | [733, 331, 839, 929, 181, 659, 337]
| 6 | NIv2 | task366_synthetic_return_primes | fs_opt | [
-0.5611144304275513,
-0.02761932834982872,
-0.3217982351779938,
-0.30938056111335754,
-0.047285452485084534,
-0.07346101105213165,
0.7042140364646912,
0.5161638259887695,
-0.48368605971336365,
0.21642276644706726,
-1.2176867723464966,
-0.46692830324172974,
-0.3458981215953827,
-0.645130574... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Input: ¿Qué quiere decir eso sobre la definición de la vida?
Output: | これが生命の定義にどう影響するか ？ | 2 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-0.5490216016769409,
0.2671712636947632,
-0.2488803118467331,
-0.02679741382598877,
0.09902770072221756,
-0.16651129722595215,
0.8941261768341064,
0.2393852174282074,
0.326080322265625,
-0.3473203778266907,
-0.2790639400482178,
-0.21047496795654297,
-0.6120575666427612,
0.3179183006286621,... |
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... | No | 2 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.21478992700576782,
0.2589297294616699,
0.3574623465538025,
-0.41556915640830994,
-0.37294065952301025,
-0.6930332183837891,
1.2825568914413452,
0.04951164498925209,
-0.44172829389572144,
-0.6760680675506592,
-0.5700035095214844,
-0.4124981164932251,
-0.8172527551651001,
0.253139972686767... |
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... | ab | 3 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
-0.4419505000114441,
0.15346094965934753,
-0.05385449901223183,
0.47737571597099304,
0.23836395144462585,
0.004038189072161913,
0.3553382456302643,
0.8158173561096191,
-0.1840459406375885,
0.5770725011825562,
-0.4697195887565613,
-0.06435256451368332,
0.04181062430143356,
-0.14748948812484... |
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 lists in the input list. If there are no odd numbers in an inner list you shoul... | [-49, 4185, -1385475, 0, -1485, 0, -735, -89817, 1419, -735] | 0 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.6867319345474243,
0.6256347298622131,
-0.35270100831985474,
-0.01385455671697855,
0.06879426538944244,
0.0258194450289011,
1.091715693473816,
0.27904170751571655,
-0.10076066851615906,
-0.10475517809391022,
-1.1767033338546753,
-0.48559585213661194,
-0.3680298328399658,
-0.3412309885025... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
詩を始めたとき僕が刺激を受けたのは素晴らしいストーリーのある人たち順風満帆の18歳の僕はフツウすぎると思ったでも僕の経験や夢信じることを話せる ― そんな世界をつくれた
Output: | כשהתחלתי, האנשים שנתנו לי השראה היו אלה עם סיפורים מדהימים, וחשבתי, כבן 18 עם חיים שמחים, זה היה יותר מדי נורמלי, אבל יכולתי ליצור עולמות בהם הייתי יכול לדבר על החוויות שלי והחלומות והאמונות. | 1 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
-0.04876076057553291,
0.23232948780059814,
0.29224032163619995,
-0.6236234903335571,
-0.20799152553081512,
-0.4968636631965637,
0.40910476446151733,
0.18105199933052063,
0.28307342529296875,
-0.06690967828035355,
-0.5153409242630005,
0.2824055552482605,
-1.230960726737976,
-0.3050190806388... |
A text is given in Bengali. Translate it from the Bengali language to the Malayalam language. The translation must not omit or add information to the original sentence.
--------
Question: ৩০ ডিসেম্বর (রবিবার) প্রধানমন্ত্রী কার নিকোবরে সুনামী স্মারকটি ঘুরে দেখবেন।
Answer: ഡിസംബര് 30 ന് പ്രധാനമന്ത്രി കാര് നിക്കോബാറിലെ... | കാര്ബണ് ബഹിര്ഗമനം കുറക്കുന്നതിനായി കര്മ്മപദ്ധതി തയാറാക്കുക, വനവിസ്തൃതി വര്ദ്ധിപ്പിക്കുക, പരമ്പരാഗത കാര്ബണ് ഇന്ധനങ്ങള്ക്കു പകരം പുനരുല്പ്പാദന ഊര്ജ്ജ ലഭ്യത ഉറപ്പാക്കുക എന്നിവ വഴിയാണ് ആഭ്യന്തര തലത്തില് ഇത് നടപ്പിലാക്കുന്നത്.
| 7 | NIv2 | task1003_pib_translation_bengali_malayalam | fs_opt | [
-0.8154290914535522,
0.16622935235500336,
0.01821153610944748,
-0.31448817253112793,
-0.5003833174705505,
-0.7387731075286865,
1.1375129222869873,
0.5029826760292053,
-0.28287839889526367,
0.6565334796905518,
0.04407573118805885,
0.34043145179748535,
-0.2968303859233856,
0.2696457505226135... |
Given the task definition and input, reply with output. 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 plau... | Ты бы истекал кровью, потому что у тебя нет кредитки. | 5 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.352641224861145,
0.679253101348877,
0.606255054473877,
-0.6112977266311646,
-1.0103561878204346,
0.7335495352745056,
0.7866270542144775,
1.279505968093872,
0.08401062339544296,
-0.5747383832931519,
-0.8509467244148254,
0.04197695851325989,
-0.44220268726348877,
0.08952180296182632,
-0... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Example Input: Sentence1: The deal will combine Adobe 's Form Server , Form Designer and Reader products with IBM 's DB2 Content Manager and DB2 CommonStore products ., Sentence... | Yes
| 3 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
-0.42262595891952515,
0.34569627046585083,
0.09734996408224106,
0.21600931882858276,
-0.2905411720275879,
-0.3117217421531677,
0.5939174294471741,
1.1301603317260742,
0.29758989810943604,
0.1706249713897705,
-0.1631571352481842,
0.6537286639213562,
-0.15746614336967468,
0.18190228939056396... |
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 | task1201_atomic_classification_xintent | zs_opt | [
0.4554804563522339,
0.29090428352355957,
0.3658748269081116,
-0.2899433970451355,
-0.5615869164466858,
-0.6966110467910767,
1.2257864475250244,
-0.15459604561328888,
-0.2662501037120819,
-0.47685664892196655,
-0.5026376247406006,
-0.34295594692230225,
-0.8488695025444031,
0.308526873588562... |
Given the task definition and input, reply with output. In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extract... | Abstractive | 5 | NIv2 | task462_qasper_classification | zs_opt | [
-0.6219562888145447,
-0.31479591131210327,
0.355548620223999,
0.26571616530418396,
-0.3119834065437317,
-0.3175731897354126,
0.7954515218734741,
0.3358595669269562,
0.942704439163208,
0.08189181983470917,
-0.9882482290267944,
-0.09670265018939972,
-0.4182334542274475,
0.40604299306869507,
... |
In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
Q: You should get a riding license if you want to ride ... | C | 4 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | zs_opt | [
0.15909883379936218,
0.6892223358154297,
-0.7436946630477905,
-0.3724307417869568,
-0.30168789625167847,
-0.8048983812332153,
-0.1069273054599762,
0.63486248254776,
0.22152581810951233,
0.10340970754623413,
-0.751784086227417,
0.1617496907711029,
0.5143312811851501,
-0.6573387384414673,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Example: Context: Joa... | cuculidae | 1 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.3426649272441864,
0.4552667438983917,
-0.9723861217498779,
-0.43627163767814636,
0.5632553100585938,
0.46811503171920776,
0.6442693471908569,
0.7018225193023682,
-0.1158941313624382,
-0.10687717795372009,
-0.21809110045433044,
0.9417241811752319,
-0.5133516788482666,
0.5102239847183228,
... |
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 a whole. In simpler terms, a meronym (i.e., second enti... | no
| 3 | NIv2 | task472_haspart_classification | fs_opt | [
-0.5395421981811523,
0.4460178017616272,
0.38801124691963196,
0.11124356091022491,
-0.12069793045520782,
-0.49111872911453247,
0.05102459341287613,
0.3570289611816406,
0.43880221247673035,
-0.5353742837905884,
-0.17272615432739258,
-0.18821705877780914,
-0.7597652673721313,
-0.144366800785... |
Detailed Instructions: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Problem:Fun birthday celebration at the happiest place on earth #disneyland ||||| Christina Aguilera Disneyland Tantrum ... Calls Mickey an A**hole
Christina Aguilera ... | Do not mess with Christina Aguilera, even if you're Mickey Mouse. The singer was celebrating her 34th birthday at Disney's California Adventure recently, but when she and her friends tried to take a picture with Mickey, they were told he was taking a break and they'd have to wait. (The visit took place on Dec. 18, acco... | 8 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.6306133270263672,
-0.12188117206096649,
-0.5178724527359009,
0.47396236658096313,
-0.14591485261917114,
-0.4456472098827362,
-0.322297066450119,
0.4218534529209137,
0.002763116266578436,
0.14670245349407196,
0.2692446708679199,
0.12028764933347702,
-0.2830734848976135,
0.0101581476628780... |
You will be given a definition of a task first, then some input of the task.
This task is about translating a given Spanish language sentence to English.
Así esta la cosa, tenemos una situación en la que empresas privadas están aplicando normas de censura que son a menudo bastante arbitrarias y generalmente más estrec... | So here's the thing. We have a situation where private companies are applying censorship standards that are often quite arbitrary and generally more narrow than the free speech constitutional standards that we have in democracies. | 1 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.6622731685638428,
0.8403341770172119,
0.7917983531951904,
-0.5650041103363037,
0.1354619264602661,
-0.3056949973106384,
0.23836767673492432,
1.2048858404159546,
0.608110249042511,
0.040904998779296875,
0.009124715812504292,
-0.3392961621284485,
-0.049026936292648315,
-0.7373112440109253... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence and your task is to generate another sentence that supports the given input.
Example: In spite of this reduced heat input, the surface temperature of Venus is higher than that of the Earth.
Output: Venus has a warmer a... | Collisions between hydrogen atoms demonstrate one form of nuclear fusion. | 1 | NIv2 | task1530_scitail1.1_sentence_generation | fs_opt | [
-0.09998922049999237,
0.6101233959197998,
-0.8217551708221436,
0.37901079654693604,
-0.19383582472801208,
-1.0787736177444458,
-0.09295257180929184,
0.74634850025177,
0.46802085638046265,
-0.03733569756150246,
-0.09333474189043045,
-0.32606202363967896,
0.17848050594329834,
0.1556035876274... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Example input: A Miña esperanza é que a beleza e propósito deste universo microscópico poida inspirar enfoques novos e creativos na investigación do cancro.
Example output: No final, espero que a beleza e propósito des... | Magoava-me, fazia-me pensar: "O que é que interessa mudar o futuro?" | 3 | NIv2 | task1246_ted_translation_gl_pt | fs_opt | [
-1.115952491760254,
0.5920727252960205,
0.3555976152420044,
-1.2416012287139893,
-0.34842365980148315,
-0.7723715901374817,
-0.07437179982662201,
0.41719624400138855,
-0.10428831726312637,
0.27437567710876465,
-0.6346206068992615,
0.4274565875530243,
-0.7943812012672424,
0.1883399784564972... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | Two little kids sit outside | 0 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | zs_opt | [
-0.6249332427978516,
1.0183583498001099,
0.03156887739896774,
-0.9431178569793701,
-0.3432989716529846,
0.0421973392367363,
0.1882646381855011,
0.5720269083976746,
0.4032130539417267,
-0.4560086727142334,
-0.9846262335777283,
-0.19760188460350037,
-0.11670265346765518,
-0.06785447895526886... |
This task is about translating a given English language sentence to Spanish.
Q: The other thing to think about is, as this - let me actually draw it. So let's say that - let's go three hundred thousand years after that initial expansion of that singularity.
A: La otra cosa sobre la que pensar es -deja que lo dibuje d... | Las guerras persisten.
****
| 4 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-1.330627679824829,
0.7998412251472473,
0.06940123438835144,
-0.7021920680999756,
-0.06506667286157608,
-0.6882835626602173,
0.44114261865615845,
0.7332339286804199,
0.32814115285873413,
-0.4424820840358734,
0.2172919511795044,
0.5505648255348206,
-0.636009931564331,
-0.013304494321346283,... |
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Input: Sentence 1: August's Puccini Festival in Tuscany's Torre d... | yes | 3 | NIv2 | task199_mnli_classification | zs_opt | [
-0.10596688091754913,
0.01315523311495781,
0.03515490144491196,
0.630738377571106,
0.15844137966632843,
-0.707496166229248,
0.09202723205089569,
0.7182154059410095,
-0.15544886887073517,
0.08694542944431305,
-0.24294719099998474,
-0.7503193616867065,
-0.38624289631843567,
0.188159406185150... |
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.
Kungenxa yokuba iyakufika ngamandla ukusuka kwibhlorho nje ukuba i-enjini ibuyiswe umva.
This is because it will swing rapidly away from the jetty as so... | Fill it with oil, close its neck with a strong seizing, and trail it in the water on a line.
| 0 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | fs_opt | [
-0.40658634901046753,
1.0294990539550781,
-0.05080568045377731,
0.08078733086585999,
-0.18895062804222107,
-0.7778594493865967,
0.42888617515563965,
0.5749624371528625,
0.8380463123321533,
-0.46125516295433044,
-0.15737107396125793,
-0.20685356855392456,
-0.24720364809036255,
0.36038085818... |
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
One example: at the beach, name something that might protect you from sun.
Solution is here: umbrella
Explanation: Umbrella can s... | brush teeth | 6 | NIv2 | task820_protoqa_answer_generation | fs_opt | [
0.6197489500045776,
1.4636332988739014,
-1.0157557725906372,
-0.7392163276672363,
-0.9426529407501221,
-1.7733237743377686,
0.7068806886672974,
1.0571773052215576,
-0.1110440045595169,
-0.2477947175502777,
-0.3615989685058594,
0.42308270931243896,
-0.975650429725647,
-0.3405354619026184,
... |
Given the task definition and input, reply with output. You need to answer the question 'Are the given steps in order?', given a set of steps describing a process. Your answer must be either Yes or No. If the answer is No, that means the steps are out of order and do not make sense in the order they are in. If the answ... | No | 5 | NIv2 | task1548_wiqa_binary_classification | zs_opt | [
0.5233789086341858,
0.03334328532218933,
-0.5350542068481445,
0.6649365425109863,
0.14230456948280334,
0.0747387558221817,
-0.14030417799949646,
0.6273736953735352,
-0.17821037769317627,
0.7269337177276611,
-0.004762475844472647,
-0.4191410541534424,
-0.07632794231176376,
0.088653951883316... |
Instructions: Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Input: Irrigated land is almost ____ times as productive as rainfed cropland.
Output: | three | 3 | NIv2 | task1359_numer_sense_answer_generation | zs_opt | [
-0.5487034320831299,
1.362203598022461,
-0.006029997952282429,
-0.712845504283905,
-0.42677146196365356,
-0.6993547081947327,
0.6471423506736755,
0.7502447366714478,
-0.708987295627594,
-0.10550014674663544,
-0.6930655241012573,
-0.557015597820282,
-0.6949185729026794,
-0.35251280665397644... |
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
my referal status your user status no how many refrs did i completed | other | 0 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-0.9724317789077759,
0.2965838313102722,
0.6696584224700928,
-0.9160561561584473,
-0.29668742418289185,
0.09233648329973221,
1.30222487449646,
0.08639611303806305,
0.9178838133811951,
-0.17345768213272095,
-0.6955915689468384,
-0.5190850496292114,
-0.30101603269577026,
0.020861633121967316... |
Part 1. Definition
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provide... | strengthener | 7 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
0.4483782649040222,
0.0615050345659256,
-0.6982477903366089,
-0.23464830219745636,
0.17818760871887207,
-0.9506065845489502,
0.7583667039871216,
1.1281588077545166,
0.3755128085613251,
-0.5124415755271912,
-1.0364067554473877,
0.34454086422920227,
-0.8371570110321045,
-0.25533315539360046,... |
Teacher: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you... | agent: Sure, may I know your travelling dates? | 2 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
0.33767062425613403,
0.3591512441635132,
-0.6201441884040833,
-0.9248056411743164,
0.32262715697288513,
0.03662148863077164,
1.6606857776641846,
0.17121225595474243,
-0.3908001184463501,
0.021877974271774292,
0.04854794591665268,
-0.36998850107192993,
-0.8642487525939941,
0.536239743232727... |
Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have t... | No | 6 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.2892759442329407,
0.15599827468395233,
0.4426578879356384,
-0.42702922224998474,
-0.48903870582580566,
-0.9164420366287231,
1.186105728149414,
0.24745944142341614,
-0.5467878580093384,
-0.6718001961708069,
-0.3727306127548218,
-0.31939026713371277,
-0.8343383073806763,
0.3562441170215606... |
Instructions: 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 provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The q... | Question: What did Michael receive that was fiction?, Answer: Nobel Prize | 3 | NIv2 | task182_duorc_question_generation | zs_opt | [
0.42607903480529785,
0.43374496698379517,
-0.44851207733154297,
-0.1399456262588501,
0.06398744136095047,
0.24758021533489227,
1.0694661140441895,
0.6551425457000732,
-0.059495314955711365,
-0.07984691113233566,
-0.02607225626707077,
0.4372652769088745,
-0.8829624652862549,
0.5038005113601... |
Teacher: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'.
Teacher: Now, under... | 15070 | 6 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
-0.13061460852622986,
0.6309168934822083,
-0.29518499970436096,
-0.236565962433815,
-0.6269620060920715,
-0.3252179026603699,
0.6841390132904053,
0.975749135017395,
0.10116933286190033,
-0.2702590823173523,
-0.887490451335907,
-0.8546137809753418,
-0.2858162820339203,
0.18228816986083984,
... |
We would like you to assess the QUALITY of each of the following argument (discussing Gay Marriage) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of gay marriage. A... | Invalid
| 7 | NIv2 | task148_afs_argument_quality_gay_marriage | fs_opt | [
0.13135190308094025,
0.7149759531021118,
0.6580848693847656,
0.11985927075147629,
-0.11209660768508911,
-1.459351658821106,
0.35688722133636475,
0.4818387031555176,
0.06847482174634933,
-0.037442609667778015,
-0.5430485010147095,
0.020643210038542747,
-0.8524359464645386,
-0.11193516105413... |
Teacher: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 .
Teacher: Now, understand the problem? Solve this instance: Statement: सातवाहन काळानंतर या प्रदेशावर अनेक ल... | राष्ट्रकूट | 6 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
1.3433690071105957,
0.9366916418075562,
-0.12560990452766418,
-0.9917566776275635,
-0.5507011413574219,
-0.1721324324607849,
0.2228085994720459,
0.9883367419242859,
0.2687303423881531,
-0.5373088717460632,
0.07374508678913116,
-0.38760673999786377,
-0.2263220101594925,
-0.4811567962169647,... |
A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
Let me give you an example: نئی دلّی ،23 مئیحکومت ہند کی جانب سے موجودہ انکم ٹیکس ایکٹ ، 1961 پر نظر ثانی اور ملک کی اقتصادی ضروریات کے عین مطابق نئی براہ ... | The officials and partners of National Mission for Clean Ganga (NMCG) came together on one platform today, to make personal donations to the Clean Ganga Fund on a voluntary basis. Officials from various executing agencies, stakeholders and aartners with Team NMCG including State Bank of India, Union Bank of India, Engi... | 8 | NIv2 | task1058_pib_translation_urdu_english | fs_opt | [
0.5323231816291809,
0.12356399744749069,
0.2100650817155838,
0.17750665545463562,
0.8899575471878052,
-0.9931334257125854,
0.43413254618644714,
0.9041256904602051,
-0.2015916109085083,
0.5322998762130737,
-0.1322198212146759,
0.3957420587539673,
-0.509626030921936,
0.2706538438796997,
-0... |
In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Example input: Sentence1: Rick grew up in a troubled household. Sentence2:... | Yes | 3 | NIv2 | task298_storycloze_correct_end_classification | fs_opt | [
-0.06606541574001312,
-0.07811537384986877,
0.3696218430995941,
-0.0719982460141182,
0.09925990551710129,
-0.8048474788665771,
-0.14572831988334656,
1.3630421161651611,
0.041381530463695526,
0.23464564979076385,
-0.25155043601989746,
-0.021369291469454765,
-0.7256203889846802,
0.1221206337... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | [['o', '1'], ['o', 'I'], ['1', 'I']] | 0 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.42496925592422485,
0.7170079946517944,
-0.7138789892196655,
0.1556749939918518,
0.5850392580032349,
-0.19745910167694092,
0.45486384630203247,
0.3485856354236603,
0.2607520818710327,
-0.10604582726955414,
-0.6556007862091064,
-0.2019297480583191,
-0.02119722217321396,
-0.188316091895103... |
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
husband... | pupil Synonym follower
| 0 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
-0.30196413397789,
1.1589452028274536,
0.2047443389892578,
-0.30163997411727905,
-0.05473867803812027,
-0.2573264539241791,
0.5921765565872192,
0.1799682080745697,
0.5023962259292603,
-0.8681530952453613,
-0.9875271320343018,
0.3170575201511383,
-0.9809577465057373,
-0.22082841396331787,
... |
Q: In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Prep... | DT JJ NN NN IN PRP$ NNS IN DT NN VBG IN CD NNS , VBZ WRB JJ VB NNS . | 7 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
0.20268307626247406,
0.08375850319862366,
0.024028930813074112,
-0.6725611686706543,
0.10845087468624115,
-0.3326094150543213,
0.9020646810531616,
0.35194075107574463,
-0.7981935143470764,
0.1585635244846344,
0.2602097690105438,
0.22770923376083374,
-0.3343932628631592,
0.13150233030319214... |
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