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 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 sentences are plausible, pick the one that makes less sense.
Q: Beginning: Kate had ... | 2
****
| 4 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
0.14694306254386902,
0.403348445892334,
-0.06158439442515373,
-0.5272809863090515,
-0.3927522599697113,
-0.3576967418193817,
-0.23805785179138184,
1.2807060480117798,
-0.11040067672729492,
-0.20875702798366547,
-0.15184444189071655,
-0.26084181666374207,
-0.758969783782959,
-0.167258635163... |
Detailed Instructions: In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed wit... | Neither | 4 | NIv2 | task329_gap_classification | fs_opt | [
-0.137730672955513,
0.48465466499328613,
0.16611772775650024,
-0.025144582614302635,
0.05887392908334732,
-0.07131613790988922,
0.8024348616600037,
1.4747192859649658,
-0.055491168051958084,
0.004512266255915165,
-0.783328652381897,
0.19814833998680115,
-0.48489904403686523,
-0.31718903779... |
In medical studies, treatments are tested within a group of study participants. You will be given a sentence of a study report in which your task is to list the phrases that give information about the participants of the study. You should list the phrases in the same order that they appear in the text, separated by com... | not found | 6 | NIv2 | task179_participant_extraction | fs_opt | [
-0.11514703929424286,
0.38084283471107483,
-0.5014016628265381,
-0.6905686259269714,
-0.072625532746315,
-0.23968461155891418,
0.004632326774299145,
0.818246066570282,
-0.13005411624908447,
0.6105588674545288,
-0.789484977722168,
0.31749579310417175,
-0.3167952597141266,
0.0656293928623199... |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating... | Do women 's reports of breast implant problems and silicone-related illness? | 6 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.33632779121398926,
0.4163668751716614,
-0.28933587670326233,
-0.05531594157218933,
0.6610997915267944,
-0.5455755591392517,
0.30052170157432556,
0.7019880414009094,
-0.11927901953458786,
0.15746204555034637,
-0.4767451882362366,
0.17101120948791504,
-0.8212710022926331,
0.498147070407867... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of... | SIMILAR | 8 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.39871945977211,
0.590630829334259,
-0.12461980432271957,
-0.07593762874603271,
-0.22243806719779968,
-0.711744487285614,
1.0519973039627075,
-0.0718112587928772,
-0.10837428271770477,
0.08281999826431274,
-0.8361331224441528,
0.5145595073699951,
-0.8413985371589661,
0.5516889691352844,
... |
Part 1. Definition
In this task, you are to Translate German text to English
Part 2. Example
Das Textilband (1) ist insbesondere als (Kreuz-) Band-, Ligament- oder Sehnenersatz einzusetzen.
Answer: The textile band (1) is used particularly as (cross) ligament or tendon replacement.
Explanation: The translation is fluen... | The distance of the cooling channel to the casting surface (F) varies in the mold body (1). | 7 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
0.23014366626739502,
0.7230880260467529,
-0.3399697542190552,
0.5338976979255676,
0.37708353996276855,
-0.15018382668495178,
0.8148206472396851,
-0.30059489607810974,
-0.6653459072113037,
-0.4893264174461365,
-0.2706548571586609,
-0.32788217067718506,
-0.6741211414337158,
0.364620804786682... |
In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in se... | No
| 5 | NIv2 | task426_hindienglish_corpora_hi-en_classification | fs_opt | [
-0.30062928795814514,
0.8456383347511292,
0.7771416902542114,
0.14762118458747864,
0.423941969871521,
-0.6560697555541992,
0.310123085975647,
0.5901596546173096,
-0.06397110968828201,
0.019790232181549072,
-0.5049583315849304,
0.39624881744384766,
-0.4516522288322449,
-0.058261528611183167... |
TASK DEFINITION: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei... | The effect of saving up numbers is you 'll know the sum of these numbers .
| 8 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
-0.1395990252494812,
0.3551251292228699,
-0.2449536770582199,
-0.580588161945343,
-0.3857569694519043,
-0.13680320978164673,
1.071420669555664,
0.5686181783676147,
0.2752986550331116,
-0.3768765926361084,
-0.9450833797454834,
0.21852514147758484,
-0.8888587951660156,
0.08524193614721298,
... |
Teacher:In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words rem... | He saw a cat. | 6 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.4893224239349365,
-0.27476370334625244,
-0.2828868627548218,
-0.20091229677200317,
-0.16121318936347961,
-0.11715748906135559,
-0.23836097121238708,
0.6625945568084717,
-0.2847016453742981,
-0.663482666015625,
-0.349112868309021,
0.08631466329097748,
-0.946155309677124,
-0.35333198308944... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to con... | A small boy swims in the community pool. | 9 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-1.1177313327789307,
0.6433699131011963,
0.2842210531234741,
-0.9436695575714111,
-0.05980198085308075,
-0.19122706353664398,
0.02078816294670105,
0.7072228789329529,
0.17773666977882385,
0.015609188005328178,
-0.9736710786819458,
-0.9510694742202759,
-0.1177903562784195,
-0.01760381087660... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Q: Title: My Tarantula. Sentence 1: When I was ten years old, I got a tarantula. Sentence 2: I named her Medusa, b... | Tom ran into the car in front of him.
****
| 4 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.30408501625061035,
0.10390365123748779,
-0.15965533256530762,
-0.5894707441329956,
-0.4456290602684021,
-0.7312971949577332,
0.04040677100419998,
1.113945722579956,
-0.09435771405696869,
0.19553524255752563,
-0.7088373899459839,
-0.5757657289505005,
-1.0027966499328613,
0.11621156334877... |
A text is given in Bengali. Translate it from the Bengali language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: বিশ্বখ্যাত গুগল সংস্থার উচ্চ ক্ষমতাসম্পন্ন ব্রডব্যান্ড ইন্টারনেট পরিষেবা প্রদানের লক্ষ্যে মার্কিন যুক্তরাষ্ট্রে যে বৃহৎ প্রকল্প রূপায়িত হচ্ছে, তারই র... | యువజన వ్యవహారాలు, క్రీడల మంత్రిత్వ శాఖ
****
| 4 | NIv2 | task1031_pib_translation_bengali_telugu | fs_opt | [
-1.0814000368118286,
0.3039133846759796,
-0.2166295349597931,
0.49558502435684204,
0.17296162247657776,
-0.5275232195854187,
-0.09686760604381561,
0.4571473002433777,
-0.11159457266330719,
0.3899543881416321,
0.17451193928718567,
0.006455305032432079,
-0.28706061840057373,
-0.2131476253271... |
Teacher: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Teacher: Now, understand the problem? If you are still confused, see the following example:
We evaluate the proposed approach on the Chinese social ... | Wall Street Journal (WSJ) portion of the Penn Treebank | 2 | NIv2 | task460_qasper_answer_generation | fs_opt | [
-0.35287943482398987,
-0.5021393299102783,
-0.17919373512268066,
-0.5619247555732727,
0.2456437200307846,
-0.20713862776756287,
0.2447403073310852,
0.8344506025314331,
-0.046105869114398956,
0.4723356366157532,
-0.4978461265563965,
-0.04855779558420181,
0.30300426483154297,
0.1580251157283... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
One example is below.
Q: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Khamer: បណ្តាអ្នកន... | Yes | 9 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
-0.11166810989379883,
-0.3751696050167084,
-0.008612793870270252,
0.39767009019851685,
0.11822827160358429,
-0.5446726083755493,
0.115463986992836,
0.19459055364131927,
-0.9742440581321716,
-0.03405171260237694,
0.5080024003982544,
0.6757470369338989,
-0.17620113492012024,
0.26457419991493... |
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: the effective annual rate of interest corresponding to a nominal rate of 14 % per annum payable half - yearly is ?
Optio... | d | 4 | NIv2 | task1419_mathqa_gain | zs_opt | [
0.11825646460056305,
0.7740072011947632,
-0.2371809184551239,
-0.20863546431064606,
-0.46125632524490356,
-1.1546510457992554,
1.0908080339431763,
0.8205356597900391,
0.08505947887897491,
0.47672200202941895,
-0.6573097109794617,
-0.09697410464286804,
-1.0761964321136475,
-0.28182199597358... |
Given the task definition and input, reply with output. In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy... | Sentence 1: She took the basic bag that she had purchased it and redesigned it into a purse because the _ was more mundane.
Answer1: bag.
Sentence 2: She took the basic bag that she had purchased and redesigned it into a purse because the _ was more useful.
Answer2: purse. | 5 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.43753087520599365,
0.3533031940460205,
0.15145227313041687,
-0.054996974766254425,
0.7842510342597961,
-0.7215537428855896,
0.40790504217147827,
1.1143929958343506,
-0.6173679828643799,
-0.34446489810943604,
-0.66263747215271,
0.016810130327939987,
-0.4855797290802002,
-0.126785516738891... |
Q: Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
Humans use six times as much water today as they did 100 years ago. People living in developed countries use a far greater proportion of the worlds water than people in less developed count... | water that can be recycled and reused is called ____________water use. | 7 | NIv2 | task470_mrqa_question_generation | zs_opt | [
0.5502352714538574,
0.9798704981803894,
-0.4956096410751343,
0.19510877132415771,
0.6744490265846252,
-1.0330188274383545,
0.09478305280208588,
0.9148033857345581,
-0.90019690990448,
0.36081069707870483,
-0.5415517687797546,
0.1998678743839264,
-0.7942513823509216,
0.1319485604763031,
-0... |
Teacher: Read the given story and classify it as 'imagined', 'recalled', or 'retold'. If a story is imagined, the person who wrote the story is making it up, pretending they experienced it. If a story is recalled, the person who wrote the story really experienced it and is recalling it from memory. If a story is retold... | imagined | 2 | NIv2 | task854_hippocorpus_classification | fs_opt | [
0.7588302493095398,
0.16793470084667206,
-0.10714608430862427,
-0.13293173909187317,
0.3503628969192505,
-0.5979508757591248,
1.0138338804244995,
0.6211247444152832,
0.06642726808786392,
0.13250547647476196,
0.03950997442007065,
0.35936346650123596,
-0.7276366949081421,
0.17457923293113708... |
Instructions: 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 ... | Yes | 3 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.2972846031188965,
0.1559707671403885,
0.13635486364364624,
-0.3381790518760681,
-0.5201623439788818,
-0.5923523902893066,
1.286858081817627,
0.5396292805671692,
-0.3578487038612366,
-0.44621598720550537,
-0.7016555070877075,
-0.624200701713562,
-0.5278130769729614,
0.3218514025211334,
... |
Given the task definition and input, reply with output. In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: the bankers discount of a certain sum of money is rs . 288 and the ... | c | 5 | NIv2 | task1419_mathqa_gain | zs_opt | [
-0.7004055976867676,
0.7698218822479248,
-0.3682558536529541,
-0.025798499584197998,
-0.7856348752975464,
0.1534562110900879,
0.618500828742981,
0.34920749068260193,
0.25388914346694946,
-0.47609442472457886,
-1.1960393190383911,
0.47346028685569763,
-0.86895751953125,
0.02042464353144169,... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
One example: Then, the camel stops and the woman gets down from the camel.
Solution is here: A woman rides a camel holding a rode with her right hand while a man pulls the camel.
Exp... | A girl is sitting on a large chair with two girls beside her and a man tattooing her foot. | 6 | NIv2 | task455_swag_context_generation | fs_opt | [
0.4004119634628296,
0.8132124543190002,
-0.48997801542282104,
0.058604929596185684,
-0.26160719990730286,
0.03057427518069744,
-0.06796882301568985,
1.4014368057250977,
0.3565073013305664,
-0.18072426319122314,
-1.0188775062561035,
0.17606694996356964,
-0.27013254165649414,
0.2675327062606... |
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
One example is below.
Q: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Thai: รายละเอียดถูกเปิดเผ... | No | 9 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
-0.4773373603820801,
-0.7286611199378967,
-0.20828860998153687,
0.09441007673740387,
0.2261056900024414,
-0.16021578013896942,
-0.11620767414569855,
0.6996379494667053,
-0.48371338844299316,
-0.12348316609859467,
0.2618028521537781,
0.8557371497154236,
0.2713889479637146,
0.485081076622009... |
Instructions: In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Input: Sentence 1: The deck was completely clean. Sentence 2: We had been getting clos... | a | 3 | NIv2 | task220_rocstories_title_classification | zs_opt | [
0.05704520642757416,
-0.15828976035118103,
-0.2401687055826187,
-0.6293964385986328,
-0.3197811543941498,
0.23064979910850525,
0.4497772455215454,
0.6634165048599243,
0.26654523611068726,
-0.0008613992249593139,
-0.35927894711494446,
-0.10066397488117218,
-0.2017802596092224,
0.15462392568... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Translate from English to Hindi.
Go to the employment office.
Solution: रोजगार कार्यालय जाओ.
Why? The translation is accurate.
New input: It's not true!
Solution: | यह सच नहीं है! | 0 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
-0.3682519793510437,
-0.13124115765094757,
-0.165040522813797,
0.44404637813568115,
0.23814481496810913,
-0.5340719223022461,
0.13409548997879028,
0.28488874435424805,
0.056583452969789505,
-0.027735739946365356,
-0.14496678113937378,
-0.5925730466842651,
0.3787418603897095,
0.506493210792... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo... | [-206, -99, 18, -220, -237, 170, 260]
| 5 | NIv2 | task122_conala_list_index_addition | fs_opt | [
-0.06012636050581932,
-0.23479785025119781,
-0.6960921287536621,
-0.32754915952682495,
0.007681816350668669,
-0.07017657160758972,
0.8587667942047119,
0.45189130306243896,
-0.36816149950027466,
-0.07378745079040527,
-0.783760130405426,
0.3743845522403717,
-0.5718885064125061,
-0.0423166006... |
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: गदिमांचे चिरंजीव आनंद माडगूळकर यांच... | मोरोपंतांच्या | 6 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
-0.21115624904632568,
0.29726850986480713,
-0.1073015108704567,
-0.9460444450378418,
-0.41400936245918274,
-0.42442187666893005,
0.31422293186187744,
0.11142325401306152,
0.07232435792684555,
-0.13627082109451294,
-0.4900880455970764,
-0.5453194975852966,
-0.6879502534866333,
-0.5779398679... |
TASK 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. Y... | Yes
| 8 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.6375192403793335,
0.22207285463809967,
0.0014419741928577423,
-0.19242042303085327,
-0.39072364568710327,
-0.5831586718559265,
1.1988863945007324,
0.7449074983596802,
-0.610363781452179,
-0.4636538624763489,
-0.3398319482803345,
-0.7058877944946289,
-0.3983116149902344,
-0.04621475934982... |
Teacher:In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Teacher: Now, understand the problem? Solve this instance: Passage: There... | Nathaniel. | 6 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.8292844295501709,
0.6119279265403748,
-0.5754430294036865,
-0.07343989610671997,
-0.4223867654800415,
-0.3644387423992157,
0.07202018797397614,
0.8165494203567505,
-0.057628169655799866,
-0.3069990277290344,
-0.3089492917060852,
0.19983617961406708,
-0.9883142113685608,
-0.32113561034202... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Let me give you an example: Comment: President lied under oath about ... | Sexual-explicit | 8 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.865749716758728,
0.08729296177625656,
0.4183679223060608,
0.41917479038238525,
0.16285981237888336,
-0.6428602933883667,
-0.09919562935829163,
0.3442763388156891,
-0.20197221636772156,
0.6006009578704834,
0.2514892816543579,
0.4092203378677368,
-0.007645058445632458,
-1.008250117301941,... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? ... | background
| 5 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.8190486431121826,
0.18599791824817657,
-0.12200255692005157,
-0.5906175374984741,
-0.21404781937599182,
-0.3697800040245056,
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0.15641598403453827,
-1.1424752473831177,
0.16634908318519592,
-0.42358267307281494,
-0.2749001979... |
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: Preposi... | WRB JJ NN NNS IN CD VBD IN DT NN WDT VBZ DT NN CC NNS IN DT NN WDT VBZ NNP NNP NNP NN . | 0 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
-0.1484818458557129,
0.6363007426261902,
-0.40897440910339355,
0.10086246579885483,
-0.39575791358947754,
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-0.14534765481948853,
-0.02052708901464939,
-0.6753959655761719,
0.4329908788204193,
-0.22732630372047424,
-0.168744921684... |
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
[header] How to handle having a toxic mother [title] Be aware that your mother might not realise t... | A
| 0 | NIv2 | task1389_hellaswag_completion | fs_opt | [
0.6722696423530579,
-0.070147305727005,
-0.3260802626609802,
0.04819571226835251,
0.32919546961784363,
-0.5274136066436768,
1.119510531425476,
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0.19980864226818085,
0.32790493965148926,
0.2425972819328308,
-0.04069084674119949,
... |
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creati... | Which of the bodybuilders Schwarzenegger idolized as a kid did he meet in 1966?
| 7 | NIv2 | task074_squad1.1_question_generation | fs_opt | [
0.44130128622055054,
0.47815418243408203,
-0.6842067837715149,
-0.31511956453323364,
0.7288143038749695,
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-0.6316260099411011,
-0.5436251163482666,
0.8148003220558167,
-1.1468254327774048,
0.16975665092468262,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
--------
Question: Wszyscy mamy w sobie takie "" barwy dźwięku "", Wszyscy mamy w sobie takie "" barwy dźwięku "", które tworzą różnorodność naszych osobowości, usposobień, zainteresowań...
Answer: וזה בעצם מה שאנו. אנחנו רק ... | מדוע אי אפשר לטעון טיעון מקביל עבור הטבע?
| 7 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.8851185441017151,
0.7336844801902771,
-0.3165530264377594,
0.22296291589736938,
-0.6702755689620972,
-0.37106627225875854,
1.0660743713378906,
-0.7066483497619629,
0.45938143134117126,
-0.6559590101242065,
-0.4184594750404358,
0.5683462619781494,
-0.9029496908187866,
-0.0309461690485477... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Output: Yes
| 2 | NIv2 | task1207_atomic_classification_atlocation | fs_opt | [
0.22874078154563904,
0.1207045316696167,
0.20218387246131897,
-0.11821065098047256,
-0.5543103218078613,
-0.4368390440940857,
0.9416326284408569,
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-0.3181230127811432,
-0.2805987298488617,
-0.6031883955001831,
-0.5684400796890259,
-0.45007771253585815,
0.266843229532241... |
Q: 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 ... | 14253 | 7 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.04250311106443405,
-0.010184438899159431,
0.09759978950023651,
-0.5779871940612793,
-0.4587860107421875,
-0.343808114528656,
-0.07042218744754791,
0.5672801733016968,
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0.11010312288999557,
-1.0797808170318604,
-0.575208306312561,
-0.4135529100894928,
-0.1255304515361... |
A text is given in English. Translate it from the English language to the Tamil language. The translation must not omit or add information to the original sentence.
Example Input: Six-fold increase in Government spending on telecommunications infrastructure and services in the country from Rs.
Example Output: நாட்டில... | சம்பந்தப்பட்ட மாநில ஆளுநருடன் கலந்தாலோசித்து இந்தப் பத்தியின்கீழ் வெளியிடப்பட்ட எந்த மாநிலம் அல்லது மாநிலங்கள் தொடர்பான உத்தரவு அல்லது உத்தரவுகளை ரத்துச் செய்து பட்டியலிடப்பட்ட பகுதிகள் என மறுவரையறை செய்யப்பட்டதற்குப் புதிய உத்தரவுகளைப் பிறப்பிக்கலாம்.
| 3 | NIv2 | task991_pib_translation_english_tamil | fs_opt | [
0.01695009507238865,
0.7999793887138367,
0.4532167315483093,
-0.2267947793006897,
0.36858564615249634,
-0.33507150411605835,
0.2782773971557617,
0.6766823530197144,
-0.2276867777109146,
-0.011763702146708965,
-0.2513653039932251,
0.47937262058258057,
-0.7849291563034058,
-0.359588950872421... |
You need to read the given passage and construct a question about the information present in the passage. The question should be answerable from the passage. Most importantly, only those questions are allowed whose answers cannot be determined from a single sentence. Do not generate questions that require only a single... | When did Josie move the seedlings outside for a few hours so they could get used to the cooler temperatures?
| 7 | NIv2 | task048_multirc_question_generation | fs_opt | [
0.33130761981010437,
0.8621532917022705,
0.031248636543750763,
-0.5264357328414917,
0.5944188237190247,
-0.2638390064239502,
0.7713680863380432,
1.0541598796844482,
-0.003707088762894273,
0.09598936140537262,
-0.770977258682251,
0.05587062984704971,
-0.8365575075149536,
0.3215481638908386,... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Example input: Sentence: 'a white cat on a desk near a computer monitor'. Count the number of vowels in the given sentence.
Example output: 16
Example explanation: ... | 20 | 3 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.01734374836087227,
0.487947553396225,
-0.9934770464897156,
-0.31492364406585693,
-0.021507397294044495,
0.09900498390197754,
0.04732774570584297,
0.7457118034362793,
0.2923728823661804,
-0.16217796504497528,
0.019999783486127853,
0.20732952654361725,
0.14293748140335083,
0.00336752063594... |
Teacher:You are given an original reference as well as a system reference. Your task is to judge the informativeness of the system reference. If the utterance provides all the useful information from the meaning representation output 1, else output 0.
Teacher: Now, understand the problem? Solve this instance: System Re... | 1 | 6 | NIv2 | task1284_hrngo_informativeness_classification | zs_opt | [
-0.778754472732544,
0.6440484523773193,
-0.2782677412033081,
0.24773597717285156,
-0.34800031781196594,
-0.7826313972473145,
1.256007194519043,
0.864647626876831,
0.16061297059059143,
-0.30209481716156006,
-0.19381305575370789,
-0.500472903251648,
-0.8532254695892334,
-0.24195650219917297,... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based ... | Sad | 1 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | fs_opt | [
-1.312485933303833,
-0.037651773542165756,
0.6418554186820984,
0.4910906255245209,
0.44529515504837036,
-0.6351205110549927,
0.608725905418396,
0.4223455786705017,
0.3951851725578308,
0.5185906291007996,
-0.24719834327697754,
-0.6263716220855713,
0.059407465159893036,
0.06844693422317505,
... |
Detailed Instructions: Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable ... | Alle spellen worden volgens de regels gespeeld. | 8 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.005145256407558918,
0.7893513441085815,
-0.8244593143463135,
-0.18035228550434113,
-0.510197103023529,
-0.5824701189994812,
0.8016527891159058,
-0.02337036095559597,
0.35760337114334106,
-0.9194633960723877,
-0.6510959267616272,
0.9794195890426636,
-0.7887961268424988,
0.290536761283874... |
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Example Input: Sent... | Yes
| 3 | NIv2 | task114_is_the_given_word_longest | fs_opt | [
-0.06981030851602554,
0.6787559986114502,
-0.3120359182357788,
-0.20140093564987183,
0.30675721168518066,
-0.5529103875160217,
0.2780213952064514,
0.609002947807312,
0.010863239876925945,
-0.2573574185371399,
-0.6673243045806885,
0.1607149988412857,
0.3535156846046448,
-0.2825179696083069,... |
This task is about translating a given Yoruba language sentence to English.
Let me give you an example: Lóde òní gbajúbajà ni àwọn àṣẹ CC lórí ayélujára tí àwọn oníṣẹ́-ọpọlọ jákèjádò ilé-ayé sì ń lò wọ́n fún èyí-ò-jọ̀yìí nǹkan tí o kò lérò.
The answer to this example can be: Today CC licenses are prevalent across the ... | A person who has children must be responsible; one who does not must know how to behave. | 8 | NIv2 | task1686_menyo20k_translation | fs_opt | [
-0.026833482086658478,
1.0021063089370728,
-0.1811949461698532,
0.18532399833202362,
0.014034083113074303,
-0.5538533926010132,
-0.2003229260444641,
0.3429429531097412,
0.23658487200737,
-0.35486799478530884,
-0.19066300988197327,
-0.1841985285282135,
-0.9897329211235046,
0.385710954666137... |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Gujarati language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: આપણને જે બહુમૂલ્ય લોકતંત્ર મળ્યું છે તેને આપણે બહુ જ સરળતાથી granted માની લઈએ છીએ પરંતુ, આપણે સ્વ... | তিনি এই আত্মমর্যাদাবোধকেই দেশে ফিরিয়ে আনেন। | 4 | NIv2 | task1068_pib_translation_gujarati_bengali | fs_opt | [
-0.05985935777425766,
-0.07178574800491333,
0.4542166590690613,
-0.3242335021495819,
-0.1527482271194458,
-1.700148105621338,
0.3050244152545929,
0.12641340494155884,
-0.03851119801402092,
-0.10661035776138306,
-0.720278263092041,
0.25129544734954834,
-0.9678097367286682,
0.162279814481735... |
Definition: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. ... | (C) | 2 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
0.7887974977493286,
0.10340837389230728,
-0.3858533501625061,
0.4746541380882263,
-0.20516565442085266,
-0.8351882100105286,
0.2085140198469162,
1.0151960849761963,
-0.16603738069534302,
-0.3864266276359558,
-0.7215830683708191,
-0.32305365800857544,
-0.5609309077262878,
-0.109302639961242... |
You will be given a definition of a task first, then some input of the task.
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 hi... | Daniel spricht zu uns mit Worten und Konzepten, die wir zusammenfassen können. | 1 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.5021291971206665,
0.955873966217041,
0.3796488046646118,
-0.21612928807735443,
-0.46015769243240356,
-0.6204428672790527,
0.7695361375808716,
0.6836099624633789,
0.31145063042640686,
-0.10118529200553894,
-0.7217541337013245,
0.02468188665807247,
-0.6453309059143066,
-0.0377593897283077... |
TASK DEFINITION: This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and... | 55.9
| 8 | NIv2 | task1413_dart_object_identification | fs_opt | [
-0.02786070853471756,
0.5407729148864746,
-0.15232473611831665,
-0.6292508244514465,
-0.3664036691188812,
-0.5685547590255737,
0.8402097225189209,
0.18788127601146698,
0.014386462047696114,
-0.2196294367313385,
-1.3010647296905518,
-0.07112051546573639,
-0.09308935701847076,
0.093218728899... |
Detailed Instructions: Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: ブリジット・ジラルダンの、海外大臣（フランスの海外県と海外領）から（国際）協力への異動は、フランス領ポリネシアでのガストン・フロッセとその政敵オスカー・テマ... | No | 9 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-0.8620320558547974,
-0.03546525165438652,
0.25184646248817444,
0.20070132613182068,
0.33588528633117676,
-0.3898123502731323,
0.009794401004910469,
0.23744064569473267,
-0.07779397070407867,
-0.17235681414604187,
-0.564655065536499,
0.4407212734222412,
-0.4142935574054718,
0.4170727133750... |
You will be given a definition of a task first, then some input of the task.
Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong t... | HYPER | 1 | NIv2 | task1505_root09_semantic_relation_classification | zs_opt | [
-0.09645067155361176,
0.22407075762748718,
0.11182638257741928,
0.2995668053627014,
-0.48440444469451904,
-0.03055255115032196,
0.4047396779060364,
0.6715663075447083,
0.27729180455207825,
-0.5043647885322571,
-1.3667140007019043,
-0.24421635270118713,
-0.27072957158088684,
0.0110306302085... |
Teacher:In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Teacher: Now, understand the problem? Solve this instance: ['x', 7079, 4739, '1621', 'w', 'q', 'f', 8821], ['f', 'S', '1621', 'w', 'q', 'i', 2505]
Student: | 1621, w, q | 6 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.31943145394325256,
0.44095492362976074,
-0.07691609859466553,
-1.3404803276062012,
-0.32562345266342163,
-0.14850929379463196,
0.19463378190994263,
-0.16287949681282043,
-0.008448611944913864,
-0.07656031847000122,
-0.2265721559524536,
0.3035373091697693,
0.08530101180076599,
-0.4745765... |
Part 1. Definition
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.
Part 2. Example
Tracy slept awkwardly on their new bed and was having some pain, so Tracy cracked her neck.
Answer: What did Tracy do with her neck?
Expl... | How would you describe Riley? | 7 | NIv2 | task596_mocha_question_generation | fs_opt | [
0.26138561964035034,
0.755557656288147,
-0.15980945527553558,
0.1154523715376854,
0.03135047107934952,
-0.061498239636421204,
0.8572081923484802,
0.29909834265708923,
0.2275206595659256,
0.31749436259269714,
-0.386322021484375,
-0.10727020353078842,
-0.5811382532119751,
0.11148116737604141... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Sentence1: Mike's computer crashed every ... | Mike then knew he had to cool down his computer some how. | 6 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.6249712705612183,
0.6205211877822876,
0.363945871591568,
-0.7499104738235474,
-0.038547083735466,
-0.4919999837875366,
0.5736796259880066,
0.03070661798119545,
0.16842049360275269,
0.2855367660522461,
-0.3330632448196411,
-0.3887453079223633,
-0.3419727683067322,
-0.3949371874332428,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Context: Patrik Baboumian, vegan, holds the world record for most weigh... | 1216 lbs | 1 | NIv2 | task239_tweetqa_answer_generation | zs_opt | [
0.041755303740501404,
0.2853209376335144,
-0.37037426233291626,
0.05268791317939758,
-0.6927386522293091,
0.02115556411445141,
0.9522119760513306,
-0.23323041200637817,
0.32557591795921326,
0.08687883615493774,
-0.6916197538375854,
0.7412734031677246,
-0.7028236985206604,
0.395472735166549... |
TASK DEFINITION: Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
PROBLEM: People drop what they are doing and flee.
SOLUTION: The train passes by revealing a crowd of men wielding clubs, knives, and axes running towards them.
PR... | We see images of flowers on a postcard.
| 8 | NIv2 | task455_swag_context_generation | fs_opt | [
0.14475581049919128,
0.4500538110733032,
-0.9700877666473389,
-0.3691380023956299,
-0.2087699919939041,
0.25743985176086426,
1.0004847049713135,
0.3117126524448395,
0.4072962999343872,
-0.3191347122192383,
-0.5640628337860107,
0.20315000414848328,
-1.1680828332901,
0.3849976062774658,
0.... |
You will be given a definition of a task first, then some input of the task.
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can ... | He would pull away and fix his hair . | 1 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
0.16343870759010315,
1.1090103387832642,
0.14937031269073486,
-0.14616593718528748,
0.3028390407562256,
-1.047960877418518,
0.5010391473770142,
0.046612367033958435,
-0.3520805239677429,
0.1346600353717804,
-0.40955057740211487,
-0.2623932957649231,
-0.4057752788066864,
-0.2909181416034698... |
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 | task1206_atomic_classification_isbefore | zs_opt | [
0.3988417387008667,
0.13231363892555237,
-0.15849904716014862,
0.3145720958709717,
-0.6663908958435059,
-0.599873423576355,
1.1532883644104004,
0.27583909034729004,
-0.3154487609863281,
-0.5885438323020935,
-0.5252425670623779,
-0.23363271355628967,
-0.423431932926178,
0.32010072469711304,... |
You will be given a definition of a task first, then some input of the task.
You will be given a passage, and your task is to generate a Yes/No question that is answerable based on the given passage.
Devil May Cry 5 is an upcoming action-adventure hack and slash video game developed and published by Capcom. It is a co... | is devil may cry 5 after devil may cry 2? | 1 | NIv2 | task381_boolq_question_generation | zs_opt | [
0.5057576298713684,
-0.38510632514953613,
-0.30986911058425903,
0.5059490203857422,
-0.24308599531650543,
0.40587157011032104,
0.6475436687469482,
0.6352390646934509,
0.14736473560333252,
0.25893905758857727,
-0.04530906677246094,
-0.45284759998321533,
-0.2226143479347229,
0.17972816526889... |
TASK DEFINITION: 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.
PROBLEM: Preheat oven to 350 degrees., Cook pasta according to package directions and drain., Meanwhile, in large skille... | Carcass, yellow onion, head of garlic, carrots, celery stalks, thyme, bay leaf, black peppercorns, lemon, Salt
| 8 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.7567014694213867,
0.04022158309817314,
-0.8992493152618408,
0.8237946629524231,
-0.07388593256473541,
0.269803911447525,
1.392998218536377,
0.7616118788719177,
-0.16070213913917542,
-0.057328857481479645,
0.18407924473285675,
0.3818029761314392,
-0.12901946902275085,
0.5497782230377197,
... |
In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabe... | Numbers Win | 4 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.11295227706432343,
0.652231752872467,
-0.4464353322982788,
-0.09139318764209747,
-0.5260629653930664,
-0.6576204895973206,
0.38120418787002563,
-0.08968344330787659,
-0.30761656165122986,
0.6309840083122253,
-1.0161614418029785,
0.17809420824050903,
-0.13351085782051086,
0.0729374811053... |
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguish... | air conditioning.
| 6 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.26831305027008057,
0.4329861104488373,
-0.4415407180786133,
0.6246080994606018,
0.06703075766563416,
-1.7670645713806152,
-0.05800598859786987,
0.7712444067001343,
-0.7579720616340637,
0.18996074795722961,
-0.9838047027587891,
0.3940691351890564,
-0.6893401741981506,
0.19965988397598267,... |
Translate the given Spanish text to English
Ex Input:
The first antenna is disposed in electrical communication with the output terminals of the chip.
Ex Output:
La primera antena se dispone en comunicación eléctrica con los terminales de salida del chip.
Ex Input:
The first configuration is distinct from the secon... | El cinturón calefactor incluye un cable y un cinturón.
| 1 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
-0.5881210565567017,
-0.3366040587425232,
-1.0189327001571655,
0.7355915307998657,
-0.39438581466674805,
-0.8299258947372437,
0.09351296722888947,
0.6891430020332336,
0.4016844630241394,
0.3857726454734802,
-0.09841370582580566,
0.10788708925247192,
-0.06598129868507385,
-0.397640407085418... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
One example:... | 1, 2, 4, 6, 8, 9, 11, 12, 13, 18, 20, 21, 25, 26, 27, 28, 29, 30, 31, 32, 33 | 6 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
0.15224885940551758,
-0.1218232735991478,
-0.2509906589984894,
-0.548594057559967,
0.5708035230636597,
-0.9497390985488892,
0.8155438899993896,
0.4919184446334839,
-0.3716641068458557,
0.23070794343948364,
-0.7025805711746216,
0.10666600614786148,
0.1042507216334343,
0.30090850591659546,
... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a ... | red_bottle | 0 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
0.4751875400543213,
0.01678147166967392,
-0.09506937861442566,
-0.32014623284339905,
-0.47545307874679565,
-0.5739142894744873,
0.638896107673645,
0.1968422532081604,
0.30366939306259155,
-0.5346710681915283,
-0.3570713996887207,
0.676772952079773,
-0.1695742905139923,
0.21073883771896362,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special c... | Hoje, Lidell Hart encorajaria provavelmente o Ocidente a concentrar os seus esforços na ajuda aos combatentes Curdos no Médio Oriente, e a ajudar o governo da Ucrânia na Europa Oriental. | 0 | NIv2 | task1375_newscomm_translation | fs_opt | [
-0.025297049432992935,
0.6002703905105591,
-0.13426031172275543,
-0.005217595025897026,
-0.3927469849586487,
0.17549163103103638,
0.1295156031847,
0.6527117490768433,
0.4041822552680969,
-0.12157098948955536,
-0.32552722096443176,
0.9096980690956116,
-0.9265977144241333,
0.0797521770000457... |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | Coaching Alabama Crimson Tide baseball for four years, J. W. H. Pollars had a record of 66-22-1 and a .747 percentage.
****
| 4 | NIv2 | task1409_dart_text_generation | fs_opt | [
0.3646059036254883,
0.2823627293109894,
-0.8443516492843628,
0.31496840715408325,
0.22220975160598755,
0.33364740014076233,
1.0051159858703613,
-0.38553524017333984,
0.08357658982276917,
0.07471916079521179,
-0.4201948344707489,
0.40787172317504883,
-0.2802762985229492,
-0.0019798327703028... |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presen... | [51, 156, 82, 252, 57, 129]
| 0 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.6552208662033081,
0.1984347701072693,
-0.10173361003398895,
-0.3121838867664337,
0.09831659495830536,
-0.33302080631256104,
0.9952608346939087,
0.30861765146255493,
-0.5511602163314819,
0.38310691714286804,
-0.8602510690689087,
-0.06512163579463959,
-0.48164868354797363,
-0.438037514686... |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used f... | X | 0 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.2504567801952362,
0.1838247925043106,
-0.23357343673706055,
0.19238179922103882,
-0.10375861823558807,
-0.539969801902771,
0.6426337957382202,
0.8382447957992554,
-0.3094906508922577,
-0.041185371577739716,
-0.8243186473846436,
0.2948404848575592,
-0.6564040184020996,
0.20112551748752594... |
Q: In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice ... | a | 7 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.8954280018806458,
-0.1753864288330078,
-0.709246039390564,
-0.0046319193206727505,
0.474371999502182,
-0.5429706573486328,
0.4229393005371094,
0.5939691066741943,
-0.03928481414914131,
0.06708940118551254,
-0.03455269709229469,
0.361020565032959,
-0.29759055376052856,
0.08298509567975998... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j... | 7455n755753637551x1147Q577Q4867ep31057943w
****
| 4 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
-0.2120564579963684,
0.314717173576355,
-0.3734811544418335,
-0.0736253559589386,
-0.09472186863422394,
-0.7381303310394287,
0.5774692296981812,
0.3756554126739502,
-0.7311651706695557,
0.24835839867591858,
-0.8723779916763306,
-0.024867631494998932,
-0.34197306632995605,
0.249384030699729... |
Teacher:In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDE... | weakener | 6 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.4318581223487854,
0.12636204063892365,
-0.04452138394117355,
0.2376004159450531,
-0.1591271162033081,
-1.1538771390914917,
0.6755930781364441,
1.1808080673217773,
0.1177448183298111,
-0.47110962867736816,
-1.2487828731536865,
-0.0050346809439361095,
-0.6347362399101257,
-0.1753767132759... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Title: Broken Glasses. ... | 52341
| 0 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
-0.3865116238594055,
-0.1646355390548706,
-0.27543172240257263,
0.06474067270755768,
0.17220741510391235,
-0.25383955240249634,
0.4315287470817566,
0.5432271957397461,
-0.31807148456573486,
0.266772598028183,
-0.6223747730255127,
0.06109515577554703,
-0.9460290670394897,
0.3090478181838989... |
Instructions: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Input: Paragraph: To automate examination... | True | 3 | NIv2 | task1162_coda19_title_classification | zs_opt | [
-0.13484391570091248,
0.009865056723356247,
-0.7861893773078918,
-0.11772336810827255,
-0.4233699440956116,
-0.356967568397522,
0.8600795865058899,
0.5962026119232178,
0.6985331177711487,
0.31515997648239136,
-0.9766367077827454,
0.5520444512367249,
-0.6807976961135864,
0.4193238914012909,... |
Part 1. Definition
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easi... | 1995 World Wrestling Championships rank is 9 and nation is armenia. | 7 | NIv2 | task1409_dart_text_generation | fs_opt | [
-0.035424165427684784,
0.07832751423120499,
-0.6372759342193604,
-0.5061042904853821,
0.07434441149234772,
0.06002487242221832,
0.7950257658958435,
0.9812042713165283,
-0.25873899459838867,
0.21800749003887177,
-0.5256611704826355,
-0.0611959733068943,
-0.5929499864578247,
-0.3507677018642... |
Detailed Instructions: This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides... | syncrude | 9 | NIv2 | task075_squad1.1_answer_generation | zs_opt | [
0.10226370394229889,
0.09042778611183167,
-0.2677485942840576,
-0.060059554874897,
-0.11196158826351166,
-1.1206598281860352,
0.9055155515670776,
1.1248053312301636,
-0.019137825816869736,
0.9693409204483032,
-0.15718083083629608,
-0.11991815268993378,
-0.8465031385421753,
0.08895558118820... |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Example input: Timothy likes to play sports. He spends his time after school playing basketball and baseball. ... | Yes | 3 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.44151967763900757,
0.10111357271671295,
-0.26401591300964355,
-0.10728508234024048,
0.15213558077812195,
-0.6843835115432739,
0.6582311987876892,
0.40722739696502686,
0.1966412216424942,
-0.2595040202140808,
-0.2832484841346741,
0.5571115016937256,
-0.5545563697814941,
-0.216514781117439... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
ブロンズは程よい固さと丈夫さがあり、地面に転がすことができます | O bronze é material bom, duro, resistente que poderia rolar pelo chão. | 0 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
-0.14808973670005798,
1.1119627952575684,
-0.11255216598510742,
-0.17849868535995483,
-0.20332953333854675,
-0.5001415610313416,
0.12251698970794678,
0.5350794792175293,
0.7527116537094116,
-0.12752403318881989,
-1.109663724899292,
1.2258719205856323,
-0.3875885605812073,
0.811048328876495... |
Given a paragraph about movies, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`.
--------
Question: CONTEXT: I don't thin... | Who actually locked Harvey up?
| 7 | NIv2 | task1440_doqa_movies_question_generation | fs_opt | [
0.3592432141304016,
-0.07728493213653564,
-0.28375571966171265,
-0.21201172471046448,
0.3621671497821808,
-0.7488960027694702,
0.8066778779029846,
0.3909011483192444,
-0.0281403586268425,
-0.07131855189800262,
-0.32350993156433105,
0.3319545388221741,
-0.8907896280288696,
0.171423763036727... |
Teacher:Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'.
Teacher: Now, understand the problem? Solve this instance: The firm generated sales of 187 mln eur in 2005 .
Student: | neutral | 6 | NIv2 | task843_financial_phrasebank_classification | zs_opt | [
-1.0835049152374268,
-0.08923621475696564,
-0.24942608177661896,
-0.04023006558418274,
0.03760911524295807,
0.6023813486099243,
-0.425648957490921,
0.7592753171920776,
0.3868388533592224,
0.21048200130462646,
-0.1139364242553711,
0.32182544469833374,
-0.10266438871622086,
-0.81060576438903... |
Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and th... | He got very good marks. He turned in his seargent application. He was rejected.
| 0 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.6399829387664795,
0.4225025773048401,
0.0235455222427845,
0.2753172516822815,
0.05973409488797188,
-1.2283542156219482,
0.3948974311351776,
1.064162254333496,
-0.24486088752746582,
-0.2825102210044861,
-0.6209684610366821,
0.15655812621116638,
-0.3919156789779663,
0.2450619637966156,
0... |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
PROBLEM: והאם איננו אסירי תודה על כך שמוחותינו יכולים, אתם יודעים, לקחת את הפעימה החשמלית שמגיעה מאנרגיית האור ליצור דימויים שיאפשרו לנו לחקור את העולם שלנו?
SOLUTION: 私たちの脳が光エネルギーのもたらす電気信号からイメージを作り出して世界を探求... | 一つの個体一つの巨大な細胞として自我抜きに動きます動いて周囲を探索する目的は食べ物の発見です
| 8 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
0.05265659838914871,
-0.0077843391336500645,
0.10747955739498138,
-0.599479615688324,
-0.28381896018981934,
-0.665434718132019,
1.0187654495239258,
0.2396286427974701,
-0.05733480304479599,
-0.2867904305458069,
-0.22351229190826416,
0.03060080111026764,
-0.5326457619667053,
0.2803959250450... |
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 can be found ... | A relaxing walk.
| 5 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.8876112699508667,
0.43572306632995605,
-0.8014010190963745,
0.17899051308631897,
-0.070854052901268,
-0.5147062540054321,
0.5508466958999634,
0.6284181475639343,
0.0574793666601181,
0.11048897355794907,
-0.15213792026042938,
-0.009853078052401543,
-0.3144277334213257,
0.33441731333732605... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
Q: What variable do you test in an ... | independent variable | 4 | NIv2 | task669_ambigqa_answer_generation | zs_opt | [
-0.7391657829284668,
0.4556283950805664,
-0.38800710439682007,
-0.10713430494070053,
-0.48244333267211914,
-0.5035713911056519,
0.671745777130127,
0.04548558220267296,
-0.2656816840171814,
-0.04013129696249962,
-0.9677290320396423,
-0.19781917333602905,
0.18161451816558838,
-0.176800459623... |
Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
E nei prossimi minuti, vi parlerò di alcune di queste tecnologie, che al momento sono in fase di sviluppo nel mio laboratorio e in quelli dei miei collaboratori.
A: | Nos próximos minutos, falar-vos-ei sobre algumas destas tecnologias, que estão presentemente a ser desenvolvidas no meu laboratório e nos laboratórios dos meus colaboradores. | 7 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-0.8149381875991821,
1.096685767173767,
-0.4435003101825714,
-0.2930745780467987,
-0.4904690682888031,
-0.3581680357456207,
-0.6673246622085571,
1.2439193725585938,
0.6781271696090698,
-0.4423104226589203,
-0.31133267283439636,
0.1545414924621582,
0.3606911897659302,
0.6544554233551025,
... |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
One example:... | [-40, 30] | 6 | NIv2 | task369_synthetic_remove_odds | fs_opt | [
-0.5125637650489807,
0.658336877822876,
-0.27302345633506775,
-0.7523317337036133,
0.08867580443620682,
-0.3912813067436218,
1.3130834102630615,
0.5773377418518066,
0.1859760880470276,
0.5067734718322754,
-0.8087272047996521,
-0.24997922778129578,
-0.4593234062194824,
-0.4456351101398468,
... |
Teacher:In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Teacher: N... | A | 6 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
-0.2737155854701996,
0.6006447672843933,
0.3556680381298065,
-0.008701542392373085,
-0.10316091775894165,
-0.3922157883644104,
0.35114145278930664,
0.6404626965522766,
-0.24452605843544006,
0.13040593266487122,
-0.6316418647766113,
0.0372375026345253,
-0.02465597167611122,
-0.7267823219299... |
Teacher:In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Teacher: Now, understand the problem? Solve this instance: 2, ['2325', 'u', '7757', 'f', '1969', '4435', 't'... | 7757, f, 1969, 4435, t, 9293, a, 7577, v, 4291, z, 9441, O, T, 8999, i, G, 4719, 4441, B, 6407 | 6 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
-0.28725919127464294,
0.04928431659936905,
-0.2642541527748108,
-0.5407470464706421,
-0.1290791630744934,
-0.291961133480072,
-0.05778221786022186,
0.20740333199501038,
-0.23269319534301758,
0.27481234073638916,
-0.5177906155586243,
-0.6315010786056519,
0.1664457619190216,
-0.2645646333694... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 4 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.008893457241356373,
0.5205085873603821,
0.5561517477035522,
-0.6452319025993347,
-0.5933392643928528,
-0.8040512800216675,
1.3360135555267334,
0.03309173136949539,
-0.632343053817749,
-0.514664888381958,
-0.408059686422348,
-0.3047931492328644,
-0.8204772472381592,
0.3795439898967743,
... |
Detailed Instructions: In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a different connotation or meaning.
Q: Sentence1: Stroke at ... | Dissimilar | 9 | NIv2 | task1645_medical_question_pair_dataset_text_classification | zs_opt | [
-0.3201947808265686,
0.32894790172576904,
-0.02343735285103321,
-0.5383644104003906,
0.22981277108192444,
-0.1969498097896576,
0.8864169716835022,
0.6261571645736694,
0.6937552690505981,
0.4636573791503906,
-0.13220593333244324,
0.26725858449935913,
-0.27860093116760254,
0.5369649529457092... |
Instructions: 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... | Yes | 3 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.03193977102637291,
0.0794457271695137,
0.5221685767173767,
-0.3422287404537201,
-0.45427221059799194,
-1.2704495191574097,
1.3617268800735474,
0.3935461938381195,
-0.618643045425415,
-0.5177405476570129,
-0.37117213010787964,
-0.41606104373931885,
-0.6708008646965027,
0.6082979440689087,... |
Teacher: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an eve... | What may be a fact about this situation ? | 2 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.6981509923934937,
-0.15323790907859802,
-0.15116927027702332,
0.3549453020095825,
-0.020646434277296066,
-0.15079852938652039,
0.5580413341522217,
1.0905297994613647,
-0.2597443461418152,
-0.16755658388137817,
0.17146751284599304,
0.2934250831604004,
-0.399681955575943,
0.102291911840438... |
In this task, you will be presented with a question having multiple possible answers in French language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Une personne a rompu avec moi, qu'est-ce que j'ai maintenant ?
Options: A cœur brisé ... | D
| 0 | NIv2 | task1136_xcsr_fr_commonsense_mc_classification | fs_opt | [
0.48872071504592896,
0.5693190693855286,
-0.6714675426483154,
-0.6607394218444824,
-0.20870959758758545,
-0.8189502358436584,
0.503659188747406,
0.6016536355018616,
0.6326186656951904,
-0.36379656195640564,
-0.481555700302124,
0.3029693365097046,
0.03583728149533272,
-0.5625309944152832,
... |
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: Did Ollie Murphy play for any teams other than 'the... | 2 | 4 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.4087217450141907,
0.9882042407989502,
-0.825871467590332,
-0.24178016185760498,
0.3294770419597626,
-0.22950169444084167,
0.9382283091545105,
0.8248822689056396,
-0.10277340561151505,
0.21494853496551514,
-0.11785674095153809,
0.9630828499794006,
-0.8232909440994263,
0.26159024238586426,... |
Definition: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using p... | Dogs playing with their master. | 2 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt | [
-0.9468029141426086,
0.3570709824562073,
0.3369002342224121,
-0.6018527150154114,
0.0717485174536705,
0.11436182260513306,
-0.11744187772274017,
0.6677076816558838,
0.5425116419792175,
-1.1328561305999756,
-0.9453713297843933,
-0.6839179992675781,
-0.3999497592449188,
0.35414358973503113,
... |
Part 1. Definition
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Part 2. Example
Problem: what is difference between biggest and smallest fraction among 2 / 3 , 3 / 4 , 4 / 5 and 5 / 3
Options: a ) 2 / 5 , b ) 3 / 5 , c ... | c | 7 | NIv2 | task1420_mathqa_general | fs_opt | [
1.0781924724578857,
0.03725773096084595,
-0.40856224298477173,
0.15844905376434326,
-0.08463689684867859,
-0.16690552234649658,
1.0220556259155273,
1.0324904918670654,
-0.29354751110076904,
0.245635986328125,
-0.8850606083869934,
-0.09578254818916321,
-0.3593480587005615,
-0.02726857736706... |
instruction:
In this task you will be given a list of strings and you need to concatenate them.
question:
['k', 'know', 'F', 'boats,', 'C', 'V', 'u', 'Back_).4Of', 'a', 'k', 'I', 'devious', 'p']
answer:
kknowFboats,CVuBack_).4OfakIdeviousp
question:
['of', 'Y', 'law,', 's', 'j', 'q', 'of', 'm', 'u', 't']
answer:
ofYl... | kknowFboats,CVuBack_).4OfakIdeviousp
| 9 | NIv2 | task079_conala_concat_strings | fs_opt | [
-0.07069849967956543,
0.5169011950492859,
-0.5804787874221802,
-0.5425359010696411,
-0.16143357753753662,
-0.7592843174934387,
0.8310182094573975,
-0.10866804420948029,
-0.10815403610467911,
0.5345384478569031,
-0.47630688548088074,
-0.21320348978042603,
-0.15682122111320496,
0.30642688274... |
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 are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É coma unha película. Ten co... | עכשיו, הוא בבית ליד, או בביתי שלי. | 0 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.6835530996322632,
0.6552428007125854,
0.3681616485118866,
-0.657664954662323,
-0.10665947198867798,
0.18061597645282745,
0.8432904481887817,
0.5190523266792297,
-0.791549801826477,
-0.34661972522735596,
0.032185398042201996,
-0.10836774855852127,
-0.8110301494598389,
-0.1914989650249481... |
Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations an... | Which player scored more field goals, Graham Gano or Ryan Longwell? | 4 | NIv2 | task184_break_generate_question | fs_opt | [
0.8080881834030151,
0.05101346969604492,
-0.6957476735115051,
0.2990191876888275,
0.26885631680488586,
-0.46832191944122314,
0.8011342287063599,
0.3641587197780609,
-0.4328031539916992,
0.5839941501617432,
-0.29675090312957764,
0.4976769685745239,
-0.054916173219680786,
0.28128644824028015... |
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 Galician.
このまま漁業を続けると50年後には珊瑚礁が消えてしまうかもしれません漁業もなくなってしまうかもしれません魚がいなくなってしまうからです
Output: | Pero se o asunto segue como ata agora, en 50 anos pode non haber arrecifes de coral, e non haber máis pesca comercial, porque o peixe desapareceu. | 1 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-0.7667170763015747,
0.2766663432121277,
-0.326717346906662,
-0.5187433958053589,
-0.5148690938949585,
-0.7706029415130615,
0.18925966322422028,
0.9823462963104248,
-0.34527307748794556,
-0.31912583112716675,
0.43396180868148804,
0.06541720777750015,
-1.020910620689392,
0.2647845149040222,... |
instruction:
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
question:
En primer lugar, mejorar la eficacia de su política de desarrollo.
answer:
Firstly, we n... | Thirdly - and perhaps this should be the first objective - the projects should principally be aimed at the complete rehabilitation of people and families, because man is not made for the law, but rather law is made for man.
| 9 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
0.014259622432291508,
0.4606189429759979,
-0.09222282469272614,
-0.07395264506340027,
-0.1518343985080719,
-0.6366595029830933,
0.5816011428833008,
0.5756646394729614,
-0.045999281108379364,
0.23910340666770935,
0.07969552278518677,
0.7399228811264038,
-1.001457691192627,
-0.15403930842876... |
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