inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: In this task you are given a premise and two alternatives in Swahili. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based ... | 1 | 4 | NIv2 | task1174_xcopa_commonsense_reasoning_sw | fs_opt | [
-0.37211447954177856,
0.8372418880462646,
-0.12632060050964355,
0.2086191177368164,
-0.5509195327758789,
-0.3929101824760437,
0.766453206539154,
0.5008186101913452,
0.39414918422698975,
0.24445044994354248,
-0.6158304214477539,
0.08408695459365845,
-0.17684510350227356,
-0.0026330542750656... |
You will be given a definition of a task first, then some input of the task.
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it ca... | Robert Fyfe | 1 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.27125102281570435,
0.7095426321029663,
-0.5354129076004028,
-0.01936369203031063,
-0.7603458166122437,
-0.16595175862312317,
1.1170254945755005,
-0.08533213287591934,
0.463839590549469,
-0.6498548984527588,
-0.21868926286697388,
-0.29803043603897095,
-0.5843186974525452,
-0.207724750041... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: p... | None | 1 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
-0.4274144172668457,
0.09655418246984482,
-0.12321600317955017,
0.05619066208600998,
-0.15223869681358337,
-0.19178999960422516,
0.8806853294372559,
-0.12080144882202148,
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-0.5997172594070435,
-0.5826441049575806,
0.03133024275302887,
0.41866016387939453,
0.0833279266953... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected s... | 1 | 1 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
-0.5820298790931702,
0.4566744267940521,
0.03363185003399849,
-0.1810823678970337,
0.044632717967033386,
-0.4626598358154297,
0.2847174406051636,
1.002856731414795,
-0.0011600952129811049,
-0.11317852139472961,
-0.6627792119979858,
-0.007173956371843815,
-0.1130957305431366,
-0.80649238824... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Example: Terán seguro para pagar a receita?
Example solution: 処方箋を支払う為の保険は ？
Example explanation: The Galician sentence is correctly translated into Japanese, because the meaning is preserved.
Problem: (Aplausos) Bruno ... | Solution: （ 拍手 ） ブルーノ・ジュッサーニ ： ジョスリン素晴らしいですたった今観衆の中のおそらく大多数が「これを使える人がいる」と考えているでしょういずれにしても私はそう考えています | 5 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.18151745200157166,
0.9388327598571777,
0.41636767983436584,
-0.15847504138946533,
0.07230198383331299,
-0.8871147632598877,
1.0478925704956055,
-0.28336405754089355,
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-0.35168275237083435,
-0.6767615079879761,
0.2218727469444275,
-0.6536810994148254,
0.13102237880229... |
You will be given a definition of a task first, then some input of the task.
Given scene/plot descriptions from movies or TV shows, and given a specific question about the scene, summarize the question into a title
Sure, Ryan from The Office went to Business School. But he had absolutely no prior professional or corpo... | Was it that easy to become a vice President at Dunder Mifflin? | 1 | NIv2 | task1638_doqa2.1_movies_text_summarization | zs_opt | [
-0.052925437688827515,
0.59255051612854,
0.5388599634170532,
-0.279560923576355,
0.22014430165290833,
0.05743765830993652,
-0.7258683443069458,
0.5210766792297363,
0.32541823387145996,
0.530103862285614,
0.16965633630752563,
-0.1581784337759018,
-0.9814882874488831,
0.18529701232910156,
... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Example input: 7
Example output: Yes
Example explanation: 7 is a prime number as it has no factors greater than 1. So... | Yes | 3 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.2569628953933716,
1.248734474182129,
0.08852826058864594,
0.10120077431201935,
-0.11166005581617355,
-0.5741577744483948,
0.6858466267585754,
1.017350435256958,
0.3625381588935852,
-0.18776249885559082,
-0.13082408905029297,
0.1474045217037201,
-0.6842677593231201,
0.03215295448899269,
... |
Instructions: Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Input: Question: What are the membrane-bound organelles that are usually larger than vesicles and can have secretory, excretory, an... | Vacuoles are membrane-bound organelles that can have secretory, excretory, and storage functions. They are usually larger than vesicles. | 3 | NIv2 | task593_sciq_explanation_generation | zs_opt | [
0.6508574485778809,
0.8776681423187256,
-0.12006010860204697,
0.018695302307605743,
-0.4581046402454376,
-0.36991631984710693,
-0.23220624029636383,
0.02906324900686741,
0.15868474543094635,
-0.3162510395050049,
-0.1772306263446808,
-0.7028154134750366,
-0.09146824479103088,
0.140084788203... |
Given the task definition and input, reply with output. A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
ശ്രീ ഹമീദ് അന്സാരി ജി,
| ਸ਼੍ਰੀ ਹਾਮਿਦ ਅੰਸਾਰੀ ਜੀ, | 5 | NIv2 | task1005_pib_translation_malayalam_punjabi | zs_opt | [
-0.4887268841266632,
0.8841683864593506,
0.5495466589927673,
-0.2682337164878845,
0.04902280867099762,
-0.5986543297767639,
-0.09698537737131119,
-0.5546080470085144,
-0.2274816483259201,
-0.39526090025901794,
-1.0971341133117676,
0.16881787776947021,
-0.7055596113204956,
0.245382443070411... |
Given the task definition, example input & output, solve the new input case.
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.
Example: বর্ষ হিসেবে এই খরচ হবে নিম্নরূপ:
Output: ఈ వ్యయం ఈ క్రింది విధంగా ఉం... | ఈ విషయంలో మేం వెనుకాడేది లేదు. | 1 | NIv2 | task1031_pib_translation_bengali_telugu | fs_opt | [
-1.2912232875823975,
1.1296896934509277,
0.13330957293510437,
0.4721888303756714,
-0.0660286694765091,
-0.17616640031337738,
0.7643016576766968,
0.8175081014633179,
0.0892355740070343,
-0.2515624761581421,
-0.7440924644470215,
0.31117331981658936,
-0.5658837556838989,
0.13761894404888153,
... |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
--------
Question: The conversation with my brother was wonderful.
Answer: male
Question: Betsy feels glad.
Answer: female
Question: Tani... | female
| 7 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.3129597306251526,
0.4854561686515808,
-0.18281146883964539,
-0.592207670211792,
-0.2488974630832672,
-0.6993861198425293,
0.5900754928588867,
-0.18777906894683838,
1.1151748895645142,
0.3347499966621399,
-0.8995952010154724,
0.08793206512928009,
-0.5502666234970093,
0.20225653052330017,... |
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 Japanese. Your job is to translate the Japanese sentence into Arabic.
地球が今よりも無垢だった時代を訪れたかのようでした
Solution: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
Why? The Japan... | ج ل: مثل بن و إريك و كارلوس ؟ س ل: نعم — ج ل: أي أصدقاء بكم قليل وجودة عالية ؟ (ضحك) س ل: ما كنت لأحكم على الجودة ، لكني أعتقد — ج ل: أعني في البداية أحبت آمي كلوديا ثم كرهتها ، أحبتها ثم كرهتها. | 0 | NIv2 | task1224_ted_translation_ja_ar | fs_opt | [
-0.26218724250793457,
0.5998739004135132,
-0.21673735976219177,
-0.400387704372406,
-0.6816920042037964,
-0.27773818373680115,
0.7265394926071167,
-0.37434136867523193,
-0.27544718980789185,
0.09635484963655472,
-0.3161669373512268,
0.018626177683472633,
-0.44334203004837036,
0.26373678445... |
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
[... | Hate Speech
| 6 | NIv2 | task1502_hatexplain_classification | fs_opt | [
-1.0841922760009766,
0.7647303938865662,
0.40126731991767883,
-0.1573757529258728,
-0.45805463194847107,
-0.7919669151306152,
-0.3020050525665283,
0.6744316816329956,
0.7894349098205566,
0.3563902974128723,
-0.29116687178611755,
-0.03420516476035118,
-0.41202861070632935,
-0.71892678737640... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
[Q]: ['C', 'X', 'Z', '6281', '1891', '2979', '9013', '9533', 'g', 'L', '7827', 'N... | 6
| 5 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
-0.07366552948951721,
0.3055977523326874,
-0.5884775519371033,
-0.18520860373973846,
0.1480225920677185,
-0.8388910293579102,
0.357522577047348,
0.600425124168396,
-0.8072750568389893,
0.03440238907933235,
-0.4546411335468292,
0.5509507656097412,
0.056816279888153076,
-0.08207359910011292,... |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Example input: Sentence: xname is a high-priced 3 star restaurant which offers wines... | familyFriendly[yes], price[less than £20], rating[average] | 3 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.665747880935669,
0.5308681726455688,
-0.5225660800933838,
-0.6479339599609375,
-0.31270527839660645,
0.30979830026626587,
1.1567773818969727,
0.6851036548614502,
0.4191122353076935,
-0.43168216943740845,
0.5127589702606201,
0.6335124969482422,
-0.542316734790802,
-0.21072542667388916,
... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Example input: Jess Mastrian... | password | 3 | NIv2 | task401_numeric_fused_head_reference | fs_opt | [
-0.7516016960144043,
0.07129161059856415,
-0.9390376806259155,
-0.1868392527103424,
-0.3511730432510376,
-0.5406290292739868,
0.771382212638855,
0.16810336709022522,
-0.32896241545677185,
0.26464277505874634,
-0.478954553604126,
-0.038773924112319946,
-0.33216238021850586,
-0.1100671887397... |
Given the task definition and input, reply with output. Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Se... | Neutral | 5 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-0.756030261516571,
0.5884324312210083,
0.49194592237472534,
0.2262408286333084,
-0.19943532347679138,
-0.726280152797699,
0.733946681022644,
-0.07957480102777481,
0.611487865447998,
-0.25778728723526,
-0.507509708404541,
0.232246994972229,
-0.4339371919631958,
-0.4000302255153656,
0.031... |
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Fact1: a windmill converts wind energy into electricity primarily by using mechanical energy, Fact2: An electric field is created by voltage., Question: What... | E | 0 | NIv2 | task1297_qasc_question_answering | zs_opt | [
-0.27081364393234253,
1.1030821800231934,
0.0024499669671058655,
-0.3068353533744812,
-0.7329776883125305,
-1.402750015258789,
-0.323498010635376,
1.4494993686676025,
0.4098227620124817,
0.14003896713256836,
-0.5062445402145386,
-0.2797429859638214,
0.22634685039520264,
-0.6426438093185425... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | 3 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
0.40480613708496094,
0.1729070395231247,
0.3267630636692047,
0.20730015635490417,
-0.5009252429008484,
-1.9557327032089233,
0.9303607940673828,
0.36996352672576904,
-0.39564400911331177,
0.14134584367275238,
-0.47742488980293274,
-0.8720049262046814,
-0.9881833791732788,
-0.101736217737197... |
You are given a statement written in Hindi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Q: Statement: बरेली में लगने वाले प्रमुख मेलों में रामगंगा का चौबारी मेला, बरेली क्लब में लगने वाला उत्तरायणी मेला, ... | रामगंगा | 4 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
0.5976657271385193,
0.7801768779754639,
-0.5858806371688843,
0.6627397537231445,
-0.5260276794433594,
-1.4820950031280518,
-0.27441373467445374,
1.2612520456314087,
0.02685411088168621,
-0.20184805989265442,
-0.5548662543296814,
0.8228628635406494,
0.3060947060585022,
0.1399829387664795,
... |
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'.
Example Input: Title: T... | 45312
| 3 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
0.2702707052230835,
-0.029332833364605904,
-0.12643343210220337,
-0.1479192078113556,
0.5262730717658997,
-0.22570395469665527,
0.44106218218803406,
0.9243533611297607,
-0.42657044529914856,
0.0950600802898407,
-0.6820480823516846,
0.469849169254303,
-0.5362279415130615,
-0.269150197505950... |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of log... | no
| 5 | NIv2 | task211_logic2text_classification | fs_opt | [
0.017447639256715775,
-0.23199521005153656,
-0.33075863122940063,
0.04489663243293762,
0.4582745432853699,
-0.3246800899505615,
0.3132783770561218,
0.42577478289604187,
0.15795865654945374,
0.04760090261697769,
-0.26345980167388916,
0.01783718168735504,
0.2877076268196106,
0.15175575017929... |
Q: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Se virem o ar desta sala, não notam cada átomo individual.
A: | En el aire de este salón, no se nota cada átomo en forma individual. | 7 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
0.33399730920791626,
1.1350724697113037,
-0.37275657057762146,
-0.5559976696968079,
-0.34286755323410034,
-0.6658116579055786,
0.2300076186656952,
0.6760892868041992,
0.5361458659172058,
-0.16763511300086975,
0.3824763894081116,
-0.1758582442998886,
-0.22375577688217163,
0.6419552564620972... |
Teacher: You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Wszystko jest robione pomiędzy żebrami.
Solution: 全て肋骨の間から行うのです
Reason: The Polish sentence is correctly translated into Ja... | 脳の表面から始まり組織そのものに入り込みそこで広がり栄養や酸素を脳の個々の細胞に供給します | 2 | NIv2 | task1257_ted_translation_pl_ja | fs_opt | [
0.22432541847229004,
0.46743088960647583,
0.25632601976394653,
-0.5606462955474854,
0.06551484018564224,
0.06577293574810028,
0.8961364030838013,
-0.3250477612018585,
-0.5446782112121582,
-0.6191197037696838,
0.3150767385959625,
0.0912754088640213,
-0.8980720043182373,
0.7588138580322266,
... |
Given the task definition, example input & output, solve the new input case.
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, poly... | Completion D | 1 | NIv2 | task156_codah_classification_adversarial | fs_opt | [
-0.1566905826330185,
0.8004629611968994,
-0.30916979908943176,
-0.5676712989807129,
0.026926161721348763,
-0.24123844504356384,
0.8641273379325867,
0.8855981230735779,
-0.18851742148399353,
0.030002817511558533,
-0.5867697596549988,
0.0711076483130455,
-0.020488785579800606,
-0.18687880039... |
Given the task definition and input, reply with output. In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do n... | Wrong | 5 | NIv2 | task133_winowhy_reason_plausibility_detection | zs_opt | [
-0.04819658771157265,
0.183084636926651,
0.0057593099772930145,
-0.017032530158758163,
-0.050916317850351334,
-0.7508592009544373,
0.27903348207473755,
0.20085245370864868,
0.20771394670009613,
-0.38284415006637573,
-0.2254529893398285,
0.5218321681022644,
-1.0416688919067383,
-0.109826244... |
Given the task definition and input, reply with output. In this task you're given two statements in Hindi. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect'.
फोटो फीकी पड़ गई।
यह पुराना था... | cause | 5 | NIv2 | task939_copa_hi_commonsense_cause_effect | zs_opt | [
-1.049200415611267,
0.3547247648239136,
0.3866223692893982,
-0.26185426115989685,
-0.37219375371932983,
-0.517215371131897,
-0.26297205686569214,
1.0995242595672607,
0.13687732815742493,
-0.5170204043388367,
-0.9762383103370667,
-0.12244310975074768,
-0.40469279885292053,
0.187491536140441... |
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 target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence... | unrelated | 0 | NIv2 | task319_stereoset_classification_profession | fs_opt | [
-0.10304983705282211,
0.6703068017959595,
-0.06393857300281525,
-0.014748038724064827,
0.1624714732170105,
0.14184793829917908,
0.34638819098472595,
0.8178155422210693,
0.5897594690322876,
-0.01646149717271328,
-0.16635051369667053,
-0.10128356516361237,
-0.4617709517478943,
-0.14989060163... |
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Example input: Argument: It is more humane to help the person die than to let ... | True | 3 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
0.08495143800973892,
0.3603808283805847,
-0.04647013545036316,
-0.2256670594215393,
0.011882913298904896,
-1.0233805179595947,
0.5488786697387695,
0.29032737016677856,
0.4242227077484131,
0.5064204931259155,
-0.23943281173706055,
-0.030733557417988777,
-0.11189021170139313,
0.2611866593360... |
Detailed Instructions: In this task, you need to provide the correct option for a given problem from the provided options.
Problem:Problem: in a circuit board factory , all circuit boards that pass a verification process are certified . every board that fails the verification process is indeed faulty , but 1 / 8 of tho... | c | 8 | NIv2 | task1421_mathqa_other | zs_opt | [
-0.20987533032894135,
0.15374384820461273,
-0.8332808017730713,
-0.2510512173175812,
-0.257540225982666,
0.4009215831756592,
0.13446581363677979,
0.47521716356277466,
-0.8300762176513672,
0.08187447488307953,
-0.24493278563022614,
-0.4547232985496521,
0.9800152778625488,
0.1824123561382293... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Let me give you an example: Article: There are a lot of public libraries in Britain. These libraries have more than one hundred and fifteen million books, not including those libraries ... | What is the reason for the success of the "I'm" program according to Keso? | 8 | NIv2 | task311_race_question_generation | fs_opt | [
-0.03805970400571823,
-0.007995731197297573,
-0.27176833152770996,
-0.4586658477783203,
0.5745164155960083,
-0.07361170649528503,
0.788813591003418,
0.8582968711853027,
0.34403619170188904,
-0.018420647829771042,
-0.14058493077754974,
0.6231355667114258,
-1.1251006126403809,
0.185063406825... |
Definition: You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
I... | Which is the basis of Dungeon Crawl Stone Soup? | 2 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | zs_opt | [
-0.14146332442760468,
0.3905966579914093,
-0.25760647654533386,
-0.21166269481182098,
-0.3445325195789337,
-0.12245828658342361,
0.5844070911407471,
0.37862706184387207,
0.0958390012383461,
-0.7517830729484558,
-0.028378980234265327,
0.18442586064338684,
-0.9899418354034424,
-0.09858795255... |
instruction:
In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
question:
Sentence 1: I put some coins in a snack mach... | Unexpected pregnancy
| 9 | NIv2 | task219_rocstories_title_answer_generation | fs_opt | [
0.023289453238248825,
0.2526630759239197,
-0.14361964166164398,
-0.041891127824783325,
0.12057913094758987,
-0.38091742992401123,
0.45167747139930725,
1.1115448474884033,
-0.306266188621521,
0.01352472323924303,
-0.4597479999065399,
-0.13660620152950287,
-0.49877238273620605,
0.05132657289... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
これらの修正の一つである、2008年の9/11退役軍人支部の教育支援活動は第二次世界大戦時代のG.I.の現代版として記述できる。 | Ang isa sa mga susog na ito, ang Post-9/11 Batas Pangtulong sa Edukasyon ng mga Beterano 2008, ay pwedeng magpakita bilang modernong salin ng panahon ng Ikalawang Digmaang pangdaigdig G.I. | 0 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
-0.5787405967712402,
-0.018372859805822372,
0.00965016707777977,
-0.42965924739837646,
-0.29597070813179016,
-0.8021395206451416,
0.4411080777645111,
0.7070013880729675,
-0.3600549101829529,
0.13184113800525665,
-0.831156849861145,
-0.16593505442142487,
-1.063776969909668,
0.78287357091903... |
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Q: Is OTHER wrong in the post ? POST : Am I the Asshole for being disappointed that my boyfriend pl... | yes | 4 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
0.8754792809486389,
-0.0021987459622323513,
0.1984184980392456,
-0.4059743881225586,
-0.09845153987407684,
-0.9053115844726562,
0.79800945520401,
0.6024870872497559,
-0.08103179186582565,
-0.1839897334575653,
0.018048647791147232,
0.6200055480003357,
-0.9654156565666199,
-0.114268898963928... |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
[EX Q]: Personality: My ... | Sounds like true love, maybe you guys should visit us. We have great weather.
| 6 | NIv2 | task1729_personachat_generate_next | fs_opt | [
0.4324806332588196,
-0.03553907573223114,
-0.32320213317871094,
0.21881060302257538,
-0.06546113640069962,
0.2437126636505127,
0.9284743070602417,
0.5072582960128784,
-0.14930099248886108,
-0.15327732264995575,
-0.3223415017127991,
-0.06212717294692993,
0.1672493815422058,
-0.0111504234373... |
In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a different connotation or meaning.
Sentence1: Does 'open' reduction with intramed... | Similar | 0 | NIv2 | task1645_medical_question_pair_dataset_text_classification | zs_opt | [
-0.9430443048477173,
-0.006177444010972977,
-0.2980557084083557,
0.44603049755096436,
0.05214909836649895,
-0.2122233361005783,
0.8119874000549316,
0.23910294473171234,
0.6696401834487915,
0.13709214329719543,
-0.3909773528575897,
0.42417845129966736,
-0.44635459780693054,
0.45869418978691... |
Q: You are given a statement written in Gujarati. 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: કટક <MASK> દેશના આવેલા ઓરિસ્સા રાજ્યમાં આવેલું મહત્વનું નગર છે. કટક કટક જિલ્લાનું મુખ્ય મથક છે. આ... | ભારત | 7 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
1.0522305965423584,
1.1960066556930542,
-0.09012162685394287,
0.3162996768951416,
-0.08141346275806427,
-0.052444085478782654,
0.36974549293518066,
0.14746038615703583,
-0.08124129474163055,
0.0326029434800148,
0.1932099610567093,
0.3339882493019104,
-0.8942042589187622,
0.1706715226173401... |
Part 1. Definition
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
Part 2. Example
1 3/4 cups all purpose flour, 1/4 cup finely ground blanched almonds, 1 teaspoon grated lemon zest, 1/2 cup confectioners ... | all-purpose biscuit mix, Cheddar cheese, milk, eggs | 7 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
-0.08044778555631638,
0.19929265975952148,
-0.13965220749378204,
0.6734136343002319,
0.016032341867685318,
-0.2992327809333801,
0.6981086730957031,
0.7105653882026672,
-0.34836483001708984,
0.08212096244096756,
-0.289567232131958,
-0.14054656028747559,
-0.8581056594848633,
-0.1021650955080... |
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... | neutral
| 6 | NIv2 | task1529_scitail1.1_classification | fs_opt | [
0.3356936573982239,
0.45724838972091675,
0.035609714686870575,
0.7506229281425476,
-0.409537136554718,
-0.28735455870628357,
0.4635721445083618,
1.555643081665039,
0.45484989881515503,
-0.10800360143184662,
-0.5785272121429443,
0.34070074558258057,
0.02990330569446087,
0.18721903860569,
... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Sheriff Spencer: In the las... | people | 0 | NIv2 | task401_numeric_fused_head_reference | zs_opt | [
-0.11018289625644684,
1.0422111749649048,
-0.13685959577560425,
-0.7551217079162598,
-0.2308627963066101,
-0.03833572566509247,
0.6024816036224365,
1.1989037990570068,
-0.021187148988246918,
0.1794654130935669,
-0.27062660455703735,
0.3241775929927826,
-0.5698716640472412,
0.03824185207486... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
The next thing that really was a big, big deal was the washing machine. | La cosa successiva che fu un grande, grande successo fu la lavatrice. | 0 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
0.3262059688568115,
0.9698262214660645,
-0.8855493068695068,
0.5952402949333191,
-0.7709734439849854,
-0.21258431673049927,
-0.7135807275772095,
1.0876808166503906,
0.16414719820022583,
-0.19092734158039093,
0.15364056825637817,
0.3316022753715515,
0.456266850233078,
0.004005290102213621,
... |
In this task, you are given a question and a corresponding answer. Your task is to generate a fact statement that is useful in answering the given question.
--------
Question: Question: Which might need warm asphalt to help regulate its body temperature? Answer: rattlesnakes.
Answer: a reptile is cold-blooded
Questi... | a star is a source of light energy through nuclear reactions
| 7 | NIv2 | task1401_obqa_sentence_generation | fs_opt | [
-0.2543101906776428,
1.099083423614502,
-0.7749433517456055,
0.3160313069820404,
-0.7247380018234253,
-1.2961938381195068,
0.641914963722229,
-0.19431275129318237,
-0.046263378113508224,
-0.20590974390506744,
0.43186473846435547,
0.28745532035827637,
-1.0269551277160645,
0.2033702433109283... |
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? ... | finding | 8 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.06599283218383789,
0.3359481692314148,
-0.27365535497665405,
0.021428704261779785,
0.42211705446243286,
-0.3600664734840393,
-0.06259189546108246,
1.5126811265945435,
0.40711840987205505,
0.6503312587738037,
-1.1497786045074463,
0.18345579504966736,
-0.004160618409514427,
-0.22538205981... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Example: (Śmiech) Opublikował wiele filmów o przyrodzie.
Example solution: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Example explanation: The Polish sentence is correctly translated into Italian, becau... | Solution: Sapeva che era un'allucinazione. | 5 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-1.1204431056976318,
0.9223748445510864,
0.0955212414264679,
0.16422180831432343,
-0.8697147965431213,
-0.20583698153495789,
0.313350111246109,
-0.11677422374486923,
-0.08275821059942245,
-0.7657537460327148,
-0.8609539270401001,
0.36704015731811523,
-0.6059268712997437,
0.2184100449085235... |
You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
[EX Q]: System Reference: do you not to restaurant restaurants that are?
Original... | 1
| 6 | NIv2 | task1186_nne_hrngo_classification | fs_opt | [
-0.6466253995895386,
0.8220998644828796,
-0.4064761996269226,
-0.21907368302345276,
-0.9840143918991089,
0.422792911529541,
1.2565009593963623,
1.0815767049789429,
0.0833561047911644,
-0.2971290349960327,
-0.3950791656970978,
-0.24390624463558197,
-0.6459128856658936,
-0.2668350338935852,
... |
Given the task definition and input, reply with output. In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the stor... | Yes | 5 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-0.6533177495002747,
0.774170458316803,
0.49927276372909546,
0.11007729172706604,
-0.2990533709526062,
-0.023021426051855087,
0.04982668533921242,
0.8583325743675232,
0.03449249267578125,
-0.35452401638031006,
-0.6259452104568481,
-0.6494981050491333,
-0.16552501916885376,
0.01866972446441... |
Detailed Instructions: In this task, you are given a review of a product in the Polish language. Your task is to classify the given product review into these three categories: 1) positive, 2)neutral, 3) negative based on its content.
Q: Text: Produkt słanej jakości, ale co się spodziewać po zamienniku. Przylepiec odkl... | negative | 9 | NIv2 | task634_allegro_reviews_classification | zs_opt | [
-1.1334900856018066,
0.5984598994255066,
0.07849627733230591,
-0.7736215591430664,
0.3288727104663849,
-0.16697907447814941,
1.3198477029800415,
0.3929688632488251,
-0.018556740134954453,
0.00103057234082371,
0.13054150342941284,
0.7899012565612793,
-0.7499446868896484,
0.3399978280067444,... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Example: وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة... | من معتقدم که چیزی کمتر از اطمینان از جاودانگی نیست من معتقدم که چیزی کمتر از اطمینان از جاودانگی نیست که باعث میشه ایثار در این مواقع تا اندازه ای ساده باشه. که باعث میشه ایثار در این مواقع تا اندازه ای ساده باشه. | 1 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.6956894993782043,
0.3523821234703064,
-0.35197895765304565,
-0.2575221657752991,
-0.18773990869522095,
-0.0798257365822792,
1.135667324066162,
0.5123746991157532,
-0.0062054721638560295,
-0.3786851167678833,
-0.6934614181518555,
0.20026883482933044,
-0.07953211665153503,
0.2494050562381... |
Teacher: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
جناب گرانت خیلی دلش میخواست روز یکشنبه بعد از آن همه خستگی روزانه بنشیند و بوقلمون را بخورد.
Solution: because I know ho... | and each evening he puzzled his way through the magazines, | 2 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-1.1023918390274048,
0.2648721933364868,
-0.024612370878458023,
0.030533665791153908,
-0.46792489290237427,
-1.2145488262176514,
0.615484356880188,
0.09286181628704071,
0.2775192856788635,
-0.4763302206993103,
-0.3994694948196411,
0.701039731502533,
-0.6747085452079773,
0.4995203912258148,... |
Detailed Instructions: You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify whether the sentence is a question or not. Answer with Yes or No.
Problem:No, that doesn't work for me
Solution: | No | 8 | NIv2 | task879_schema_guided_dstc8_classification | zs_opt | [
-0.30055123567581177,
0.6962382197380066,
0.23481154441833496,
0.2590998411178589,
-0.39043840765953064,
0.0025206152349710464,
1.0855717658996582,
1.0533502101898193,
0.5510094165802002,
0.27182894945144653,
-0.10716959089040756,
-0.7198390364646912,
-0.12963612377643585,
-0.3100937604904... |
In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "mi... | Output: negative
| 2 | NIv2 | task524_parsinlu_food_aspect_classification | fs_opt | [
-0.3629239499568939,
-0.08583598583936691,
0.059758756309747696,
0.07417728006839752,
-0.08912753313779831,
0.1853991001844406,
1.2039446830749512,
0.8019425868988037,
0.5438947677612305,
0.11015724390745163,
0.20289048552513123,
-0.10893247276544571,
-0.4790465235710144,
0.296855390071868... |
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
[Q]: Context: Lee made Jan move so he coul... | False
| 5 | NIv2 | task384_socialiqa_question_classification | fs_opt | [
-0.2822692394256592,
0.24096831679344177,
0.03173774480819702,
0.08664846420288086,
0.07295207679271698,
-0.09456610679626465,
0.3826531767845154,
0.19707873463630676,
-0.1502360701560974,
0.223331481218338,
-0.6822217702865601,
-0.2751072645187378,
-0.5791300535202026,
0.05371545255184173... |
Part 1. Definition
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Part 2. Example
Amends the Water Resources Development Act of 1999 to: (1) authorize ap... | A bill to amend the Internal Revenue Code of 1986 to provide assistance to students and families coping with the costs of higher education, and for other purposes. | 7 | NIv2 | task1659_title_generation | fs_opt | [
0.18134039640426636,
0.17537625133991241,
-0.2986575663089752,
-0.31805098056793213,
0.5130683183670044,
-0.7005034685134888,
0.44641509652137756,
1.0178542137145996,
-0.11258342117071152,
0.24219799041748047,
0.43697014451026917,
0.381731241941452,
-0.5479218363761902,
-0.3615932464599609... |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Input: un membro da News Corp de Rupert Murdoch?
Output: | un miembro de la corporación de Rupert Murdoch? | 3 | NIv2 | task1240_ted_translation_gl_es | zs_opt | [
-1.7070114612579346,
0.19815534353256226,
-0.07904236763715744,
-0.4746096730232239,
-0.12334957718849182,
-0.8668379783630371,
-0.15838052332401276,
0.4272366762161255,
0.8459479212760925,
-0.5219711065292358,
0.20598220825195312,
0.18840309977531433,
-0.8220690488815308,
0.23699706792831... |
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... | Does human chorionic gonadotropin with C-elongated alpha-subunit retain full receptor binding and partial agonist activity? | 0 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.42486000061035156,
0.2721101641654968,
-0.2995073199272156,
0.10564537346363068,
-0.2235194444656372,
-0.9875093102455139,
0.06774015724658966,
0.8866159319877625,
0.20266297459602356,
-0.5186748504638672,
-1.2214289903640747,
-0.3150118589401245,
-0.7020416259765625,
-0.5250300168991089... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Q: ブロードウェイの交通であったところにはテーブルや椅子があります
A: | Dove scorreva il traffico della Broadway, ora ci sono tavoli e sedie. | 9 | NIv2 | task1096_ted_translation_ja_it | zs_opt | [
0.9327617883682251,
-0.09848304837942123,
-0.8799217343330383,
0.1300482302904129,
-0.29387974739074707,
-0.13956819474697113,
0.7698737978935242,
0.7994275689125061,
0.353073388338089,
-0.9156796336174011,
0.39167559146881104,
-0.06827333569526672,
0.6532409191131592,
0.6117815971374512,
... |
The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user may ask details of the place suggeste... | You want to find a vegetarian restaurant. You don't care about the area. You want to know the phone number and price of the venue. | 0 | NIv2 | task1499_dstc3_summarization | zs_opt | [
-0.10162302851676941,
0.404558002948761,
-0.34378206729888916,
-0.43357914686203003,
-0.4407336115837097,
-0.5565831065177917,
0.3247353434562683,
0.947872519493103,
0.11629046499729156,
0.23892444372177124,
0.35028231143951416,
-0.06450088322162628,
-0.08339689671993256,
-0.27873280644416... |
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 | task1204_atomic_classification_hinderedby | zs_opt | [
1.0758445262908936,
0.2298397719860077,
0.5809717774391174,
-0.20191171765327454,
-0.40790653228759766,
-0.9984872341156006,
0.4520672559738159,
0.3071921467781067,
-0.4247928261756897,
-0.22184112668037415,
-0.3941684365272522,
-0.7520438432693481,
-0.7743743062019348,
-0.2627866566181183... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Q: (Risate) Vi sbagliate.
A: | (Risos) Bem, estão errados. | 9 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
-0.08211144804954529,
1.5141218900680542,
-0.31378138065338135,
-0.06004689633846283,
-0.2849484086036682,
-0.4313734173774719,
0.2778592109680176,
1.210404634475708,
0.17371827363967896,
0.43326336145401,
-0.5962384939193726,
-0.0711669772863388,
-0.3070996105670929,
0.1940171718597412,
... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
Q: 7, ['1553', '8599', '9857', 'c', 'g', '9419', 'Q', '1749', 'l', 'C', '43', '5327', '8377', 'V', '3... | 4713, b, t, 5175, 9881, 3725, U, 933
****
| 4 | NIv2 | task063_first_i_elements | fs_opt | [
-0.20487409830093384,
0.10230955481529236,
-0.5236051082611084,
-0.21499307453632355,
-0.2863689064979553,
-0.9367328882217407,
0.49945729970932007,
0.7121136784553528,
-0.4947880506515503,
-0.028888558968901634,
-0.7333340644836426,
-0.21517875790596008,
0.015828609466552734,
0.1024072542... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Example input: ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرتاب باشند در عرض چند ساعت.
Example output: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartowa... | Bo społeczność szympansów jest bardzo rozwiązła. | 3 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.9377471208572388,
1.1642718315124512,
0.461382657289505,
0.0369533896446228,
-0.6391228437423706,
0.340451717376709,
1.3655712604522705,
-0.1506938934326172,
-0.06783053278923035,
-0.6215306520462036,
-1.2620195150375366,
1.2349315881729126,
-0.602601170539856,
0.11904347687959671,
1.... |
Definition: Given a statement, generate a question such that the answer is contained in that statement.
Input: the basic functional unit of the organism transmit nerve impulses to other cells
Output: | What transmits nerve impulses to other cells? | 2 | NIv2 | task1580_eqasc-perturbed_question_generation | zs_opt | [
0.0959986001253128,
0.17615175247192383,
-0.877497673034668,
0.270108699798584,
-0.11558954417705536,
-0.9273584485054016,
-0.35395148396492004,
0.2996406555175781,
-0.09691320359706879,
-0.07009975612163544,
-0.8920533657073975,
0.10035194456577301,
-0.7741851806640625,
0.4145745635032654... |
Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is whe... | blue_bathtub | 8 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
0.496833860874176,
-0.43062323331832886,
-0.0391053631901741,
-0.4374328553676605,
-0.5952646732330322,
-0.38363975286483765,
-0.3186149001121521,
0.7576947808265686,
-0.2558450698852539,
0.2560794949531555,
0.27118027210235596,
0.46320295333862305,
0.2070339471101761,
0.11968994140625,
... |
In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
[Q]: 6, ['q', '2645', 'U', 'd', '9085', 'O', '7525', 'C', '7823', 'm', 'p', 'b', '921', 'J', '1349', '459', '9637', '1919', '2037', '6743', '193']
[A]: q, 7525, 921, ... | 3829, 4607, 8609
| 5 | NIv2 | task1542_every_ith_element_from_starting | fs_opt | [
0.22042010724544525,
0.2300550639629364,
-0.5111709237098694,
-0.6646978855133057,
-0.648384153842926,
-0.5222446918487549,
0.7190060615539551,
0.3627372086048126,
-0.5234557390213013,
-0.100476935505867,
-0.5145136117935181,
0.06352545320987701,
-0.4117608666419983,
0.3167875409126282,
... |
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned i... | Solution: What period ended 541 million years ago? | 5 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.8646379113197327,
0.6256914138793945,
-0.9199508428573608,
-0.24668994545936584,
-0.32639050483703613,
-0.4122592508792877,
1.0515305995941162,
0.934430718421936,
-0.026317711919546127,
0.1844407618045807,
-0.4687268137931824,
0.05094613879919052,
-0.9646575450897217,
0.43296945095062256... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
بنابراین سوال این است چرا ، همانطور که بزرگتر می شوند ، آیا دستخوش تغییر می شود ؟
A: | אז השאלה היא למה, כשהם מתבגרים זה משתנה? | 7 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-0.4752211570739746,
1.1426650285720825,
-0.22335578501224518,
-0.3207712173461914,
-0.9117899537086487,
-0.0532679446041584,
0.331554651260376,
0.32477259635925293,
0.9406635761260986,
-0.3916900157928467,
-0.4202418029308319,
0.05830485746264458,
-1.4332380294799805,
0.2350597083568573,
... |
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.
Ex Input:
Kai went to a party and had a fun time with their friend Austin.
Ex Output:
How would Austin feel as a result?
Ex Input:
Lee went to the park to play soccer w... | Why was the writer really happy with the race ?
| 1 | NIv2 | task596_mocha_question_generation | fs_opt | [
-0.044821515679359436,
0.20185169577598572,
-0.370930016040802,
-0.5903604626655579,
-0.8428542613983154,
-0.071712926030159,
0.645998477935791,
0.2534668445587158,
0.28638672828674316,
0.4831218719482422,
-0.6471608877182007,
-0.22080689668655396,
-0.4222152829170227,
0.7398958206176758,
... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
@T... | Neither | 0 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.3083361089229584,
0.23649261891841888,
0.2542731761932373,
0.5090866088867188,
-0.2069036364555359,
-0.90744549036026,
-0.2585611641407013,
0.9035574197769165,
0.8010544180870056,
0.36087819933891296,
-0.7191841006278992,
-0.5395120978355408,
-0.7431966662406921,
-0.687289834022522,
0... |
Detailed Instructions: 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. I... | b | 9 | NIv2 | task231_iirc_link_classification | zs_opt | [
1.3636894226074219,
0.6980642676353455,
-1.3748739957809448,
0.09915903210639954,
0.13565653562545776,
-0.6609606146812439,
1.0509127378463745,
0.9804173111915588,
0.5225411653518677,
0.23240837454795837,
-0.20206347107887268,
0.25570154190063477,
-0.8944075703620911,
0.0470115952193737,
... |
Q: 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... | pollination needs pollinators. | 7 | NIv2 | task038_qasc_combined_fact | zs_opt | [
-0.2805197238922119,
0.7543784976005554,
-0.6976553797721863,
-0.08898505568504333,
-0.6651184558868408,
-0.8764047622680664,
-0.6700640916824341,
0.6493601202964783,
-0.5778440833091736,
-0.05323854088783264,
-1.3175015449523926,
0.4636240005493164,
-0.46361368894577026,
0.056468475610017... |
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... | [['e', '1', 'H', 'V', '1', '6'], ['e', '1', 'H', 'V', '1', '7'], ['e', '1', 'H', 'V', '6', '7'], ['e', '1', 'H', '1', '6', '7'], ['e', '1', 'V', '1', '6', '7'], ['e', 'H', 'V', '1', '6', '7'], ['1', 'H', 'V', '1', '6', '7']] | 5 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.35035309195518494,
0.7450509071350098,
-0.17165279388427734,
0.36711251735687256,
0.24267105758190155,
-0.3249245285987854,
0.21095424890518188,
0.5075502991676331,
0.29821833968162537,
-0.2939271330833435,
-0.5850801467895508,
0.2710913419723511,
-0.1885899156332016,
-0.053231313824653... |
Your task is to localize given English phrase into Telugu language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial translation... | Solution: శోధన యంత్రము | 5 | NIv2 | task878_kde4_translation | fs_opt | [
-0.20128750801086426,
0.47006696462631226,
0.6221126317977905,
0.3166249990463257,
0.326991468667984,
-1.059910535812378,
0.48806703090667725,
0.035464875400066376,
-0.05478063225746155,
-0.620564341545105,
-0.6482799053192139,
0.22822290658950806,
-0.9201462268829346,
0.4436500668525696,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Let me give you an example: To największa nagrywarka, jaką w życiu widzieliście.
The answer to this example can be: It's sort of the biggest TiVo box you've ever seen.
Here is why: The Polish sentence is correctly translated... | It has to deal with other people moving through that construction zone as well. | 8 | NIv2 | task1256_ted_translation_pl_en | fs_opt | [
-0.4748155176639557,
0.3412781357765198,
0.5530204772949219,
0.9435898065567017,
0.04040183126926422,
-0.7292321920394897,
0.4485791325569153,
-0.507311999797821,
-0.1993100345134735,
0.18497666716575623,
0.3353419303894043,
0.3846081495285034,
-0.4550222158432007,
0.3843289613723755,
-0... |
Instructions: You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answ... | Pottery doesn't come as naturally for PersonX as it does for PersonY because _ is clumsy with his hands. | 3 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.4497191309928894,
0.751958966255188,
-0.2916460633277893,
0.035551853477954865,
-0.0896543562412262,
-0.1847742199897766,
0.23152472078800201,
0.9480665326118469,
-0.005291898734867573,
-0.5247801542282104,
-0.15247103571891785,
0.14002275466918945,
-0.0524493083357811,
0.088813677430152... |
Instructions: In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Input: Tweet: @arikhanson So are we doing #accred or #a... | yes | 3 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-0.9819742441177368,
-0.09979180991649628,
0.8048591613769531,
-0.052424050867557526,
-0.32342198491096497,
-0.9576268792152405,
0.49224215745925903,
-0.31576478481292725,
0.4541206359863281,
0.6388334035873413,
-0.521885335445404,
-0.08224642276763916,
-0.47453373670578003,
-0.00735784973... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: Daje solidną bazę dla poczucia własnej wartości, dzięki której życie staje się warte przeżycia.
Student: | 自分の人生が本当に価値があるものだったと言う自尊心の確固たる基盤を手に入れるでしょう | 6 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-0.24295631051063538,
-0.00009134679567068815,
0.09234870970249176,
-0.44823816418647766,
0.11717323213815689,
-0.9890635013580322,
1.5880359411239624,
0.20294396579265594,
-0.14012017846107483,
-0.7985305786132812,
0.13408227264881134,
0.08420540392398834,
-1.2734761238098145,
0.185647010... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Q: mentre noi cerchiamo di non cadere in acqua.
A: | Nós intentábamos non caer á auga. | 4 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.4049800634384155,
1.8544855117797852,
-0.3589322865009308,
-0.6862859129905701,
0.1607353538274765,
-1.783624529838562,
0.05637459456920624,
0.2696947455406189,
-0.43776363134384155,
0.08020244538784027,
0.33614581823349,
-0.2659897208213806,
-1.1433656215667725,
0.2017790824174881,
0... |
In this task, you are given a hateful post in Spanish from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Let me give you an example: Post: @Darkeph E... | Generic | 8 | NIv2 | task338_hateeval_classification_individual_es | fs_opt | [
-1.0663211345672607,
0.1370585560798645,
0.5252766609191895,
0.1995750069618225,
-0.32519978284835815,
-0.20875564217567444,
0.25541263818740845,
0.8221460580825806,
-0.43480706214904785,
-0.017512226477265358,
-0.22901573777198792,
0.03374113515019417,
0.022208817303180695,
-0.60086095333... |
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 coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Example: Beginning: Butch h... | Solution: 2 | 5 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.23275984823703766,
0.3010108768939972,
0.17457562685012817,
0.11104854941368103,
-0.0718502327799797,
-0.3663332462310791,
0.2690066397190094,
0.7352907061576843,
0.08927038311958313,
0.0013283867156133056,
-0.7140955924987793,
0.03924631327390671,
-0.12917235493659973,
-0.4644497632980... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that m... | b
| 6 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
-0.2898397743701935,
-0.012510649859905243,
-0.12579254806041718,
0.19531132280826569,
0.29598766565322876,
0.24339959025382996,
0.30809104442596436,
1.364854097366333,
-0.13230572640895844,
0.1607857495546341,
-0.355080783367157,
-0.0359613373875618,
-0.08075166493654251,
-0.1238355115056... |
Teacher:In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Teacher: Now, understand the problem? Solve this i... | hwwwh | 6 | NIv2 | task850_synthetic_longest_palindrome | zs_opt | [
-0.20119065046310425,
0.666183590888977,
0.2635914981365204,
-0.7858120203018188,
-0.5182751417160034,
-0.5350478291511536,
1.3450336456298828,
-0.2044517993927002,
-0.1664051115512848,
-0.33985739946365356,
-0.7419928312301636,
0.07616753876209259,
-0.551324188709259,
0.012974494136869907... |
A text is given in Tamil. Translate it from the Tamil language to the English language. The translation must not omit or add information to the original sentence.
தமிழ்நாடு, கேரளா, அசாம், மேகாலயா, மேற்கு வங்கத்தின் இமயமலை அடிவாரப்பகுதி, சிக்கிம், நாகாலாந்து, மணிப்பூர், மிசோராம், திரிபுரா ஆகியவற்றில் ஒரு சில இடங்களில் ... | Thunderstorm accompanied with squall very likely at isolated places over Assam Meghalaya, SubHimalayan West Bengal Sikkim, Nagaland, Manipur, Mizoram Tripura, Kerala and Tamilnadu. | 0 | NIv2 | task992_pib_translation_tamil_english | zs_opt | [
0.2081415206193924,
0.11271984875202179,
0.46493807435035706,
-0.07595692574977875,
0.23038092255592346,
-1.487199068069458,
-0.2595575451850891,
0.6017520427703857,
-1.1017305850982666,
0.09473620355129242,
0.5524158477783203,
0.22955361008644104,
-0.7986024022102356,
-0.6478785276412964,... |
TASK DEFINITION: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
PROBLEM: Context: quinn was sydney's real mom so she gave sydney a education.
Answer: she will graduate with good gra... | What would Skylar have needed to do before this?
| 8 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
-0.2434036135673523,
0.27838799357414246,
0.1980065256357193,
-0.9283208847045898,
-0.28755849599838257,
0.0004189696628600359,
0.3164582848548889,
0.6927388906478882,
0.6843206882476807,
0.22992056608200073,
0.5619125366210938,
0.8182874917984009,
-0.8906704783439636,
0.32438457012176514,... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Q: Tweet: @ChristyMack ugly flat chested prude ass white bitch
Label: Hate Speech
A: | false | 4 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.5508768558502197,
0.601967453956604,
0.572844386100769,
0.4137604832649231,
-0.27918872237205505,
-0.6951918601989746,
-0.2699693441390991,
0.36170127987861633,
0.8907742500305176,
0.5248340368270874,
-0.4281449615955353,
-0.2871548533439636,
-0.4486936330795288,
-0.7097576856613159,
... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sente... | 13, 14. | 0 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.8118163347244263,
0.15028345584869385,
-0.5834525227546692,
-0.012705773115158081,
0.43797963857650757,
-0.5795482397079468,
0.4653450548648834,
0.9078863859176636,
0.18214648962020874,
0.19633303582668304,
-0.27480459213256836,
0.4188544750213623,
-0.7169487476348877,
0.4051931500434875... |
In this task, you need to reverse the order of words in the given sentence.
Sentence: a baseball player with a bat up in the air | air the in up bat a with player baseball a | 0 | NIv2 | task376_reverse_order_of_words | zs_opt | [
0.5660392045974731,
0.9002939462661743,
-0.9602338075637817,
0.09067713469266891,
0.28611135482788086,
-0.2851322889328003,
-0.09711098670959473,
0.653089702129364,
0.3378360867500305,
-0.20952105522155762,
-1.2088053226470947,
0.7562702894210815,
-0.6713441610336304,
-1.0440504550933838,
... |
Given the task definition and input, reply with output. Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Context : The Revenge of Tarzan (1920) is a silent adventure film, originally advertised... | The The Revenge of Tarzan is based upon what? | 5 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
-0.48037874698638916,
1.362762212753296,
-0.29757583141326904,
-0.0015492845559492707,
-0.8248878717422485,
0.6744306087493896,
1.0736525058746338,
0.29925841093063354,
-0.0019430238753557205,
-0.5540404319763184,
0.22377710044384003,
0.616358757019043,
-0.8870646953582764,
-0.504068195819... |
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
One example is b... | In Seattle, not far from Forks, Victoria is still vengeful on Bella for James’s death. Learning that Laurent is killed by wolves and to replace him and James, she attacks and bites Riley Biers in order to begin creating an army of newborns, who are many times stronger during their first few months than older vampires. ... | 9 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.4632640779018402,
0.10078946501016617,
-0.3226979672908783,
0.4233553409576416,
0.06341321766376495,
-0.7901450395584106,
0.1913299709558487,
1.4617283344268799,
-0.5739080905914307,
0.16424667835235596,
-0.35137248039245605,
-0.1126333698630333,
-0.41148340702056885,
1.0163302421569824,... |
A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
[EX Q]: دمن کی مشترک ثقافت کی تعریف کرتے ہوئے انہونے کہا کہ دمن ایک منی انڈیا بن گیا ہے اسلئے کہ یہاں ملک کے سبھی حصّے سے لوگ آتے ہیں اور یہاں کام کرتے ہیں ۔... | ఈ అవగాహన పూర్వక ఒప్పంద పత్రం ప్రధాన ఉద్దేశాలలో:
| 6 | NIv2 | task1038_pib_translation_urdu_telugu | fs_opt | [
-0.2190883308649063,
0.6884491443634033,
-0.4937428832054138,
-0.5203375816345215,
-0.26967760920524597,
-0.23729056119918823,
0.32816651463508606,
-0.1655941903591156,
-0.032345376908779144,
-0.35356414318084717,
-0.5536479353904724,
0.3611310124397278,
-0.416082501411438,
0.4037489891052... |
Detailed Instructions: Given a scientific question, generate a correct answer to it.
Q: What are the two ways animals can manage their internal environment?
A: | regulating or conforming | 9 | NIv2 | task591_sciq_answer_generation | zs_opt | [
-0.4019366204738617,
1.1679415702819824,
-0.42733412981033325,
0.09180977195501328,
-1.1688342094421387,
-0.3491889238357544,
-0.8696985840797424,
0.09542340040206909,
-0.027687814086675644,
-0.014992423355579376,
-0.5222189426422119,
0.5233956575393677,
-0.7117576599121094,
-0.34132999181... |
A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
Example Input: നൂറ് വര്ഷം മുമ്പ് വിത്ത് വിതച്ച ശേഷം, നൂറ് വര്ഷങ്ങള്ക്കിടയില് നിരവധി തലമുറകള് ഈ സര്വകലാശാലയില് വരികയും പഠിക്കുകയും ചെയ്തു.
Examp... | Indians make up the third-largest group of tourists in Singapore.
| 3 | NIv2 | task1022_pib_translation_malayalam_english | fs_opt | [
-0.45830145478248596,
0.2540142834186554,
-0.6818337440490723,
-0.11712180823087692,
0.37214285135269165,
-0.36478614807128906,
-0.095829539000988,
1.064489483833313,
-0.7325465083122253,
0.2764660716056824,
0.08374635875225067,
0.0018417737446725368,
-0.048319797962903976,
0.1873926520347... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN
****
| 4 | NIv2 | task130_scan_structured_text_generation_command_action_long | fs_opt | [
0.39786648750305176,
0.8226947784423828,
-0.3624081313610077,
0.12483057379722595,
-0.11381739377975464,
-0.24987569451332092,
0.056128814816474915,
0.4280516803264618,
-0.235081285238266,
-0.14549541473388672,
-1.0315625667572021,
-0.04545598477125168,
-0.6898553371429443,
-0.198402643203... |
Given the task definition and input, reply with output. Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individua... | I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN | 5 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.013353097252547741,
0.8814001679420471,
-0.46140456199645996,
0.44614386558532715,
0.02097414992749691,
-0.0021161611657589674,
0.05437150597572327,
0.06249577924609184,
-0.14965933561325073,
-0.3499290347099304,
-0.730850100517273,
-0.2479565590620041,
-0.41847026348114014,
-0.211738914... |
instruction:
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
question:
[43, -87, 5, 88, 77, 51, 64, 37, -13]
answer:
[130, 92,... | [122, 96, 119, 88, 95, 101, 3, 20, 57, 8, 92, 35, 39]
| 9 | NIv2 | task125_conala_pair_differences | fs_opt | [
-0.6355738043785095,
-0.20267829298973083,
-0.16429875791072845,
0.013790231198072433,
-0.15532061457633972,
0.16556088626384735,
0.7836978435516357,
0.3856627941131592,
0.42592746019363403,
-0.23057298362255096,
-0.45908859372138977,
-0.7680279016494751,
-0.428503155708313,
0.205975905060... |
Detailed Instructions: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Q: OBJECTIVE The study of soluble corin in the circulation before hypertensive disorders of pregnancy (HDP) has been limited. Here we aimed to study serum ... | Increased serum soluble corin in mid pregnancy is associated with hypertensive disorders of pregnancy. | 9 | NIv2 | task1586_scifact_title_generation | zs_opt | [
0.6872105598449707,
-0.23645520210266113,
-0.5075643062591553,
-0.14088040590286255,
0.11805927753448486,
0.04703545570373535,
0.9222090840339661,
0.9162495136260986,
0.09598006308078766,
0.24753746390342712,
-0.8198952674865723,
0.42727917432785034,
-0.9422329664230347,
0.2390694618225097... |
A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence.
Ex Input:
છેલ્લાં સાડા ચાર વર્ષ અગાઉ સ્નાતક મેડિકલ બેઠકોની સંખ્યામાં લગભગ 30 ટકાનો વધારો થયો છે.
Ex Output:
The number of UG medical seats have been i... | Let us affirm that the best ideas will come from Indian laboratories and from Indian students.
| 1 | NIv2 | task1080_pib_translation_gujarati_english | fs_opt | [
-1.0269725322723389,
0.2631966471672058,
-0.019688956439495087,
-0.37374845147132874,
0.49732619524002075,
-0.46538153290748596,
0.36440521478652954,
0.12887290120124817,
0.09677734225988388,
-0.11623680591583252,
-0.4903169572353363,
1.158031702041626,
-0.4258560240268707,
0.2165600210428... |
instruction:
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
question:
پس ما می توانیم اینطور چیزها را با هم ترکیب کنیم. چون می دانیم که با آشپزی می توانیم آنها را به شکل مورد نظرتغییر دهیم.
answer:
Possiamo creare queste composizioni perché sappiamo che, cucinando ottenia... | Uno, due, tre, via! (Musica) Guarda. Ricordi questi giochi?
| 9 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.8572773933410645,
1.1284734010696411,
-0.3735227584838867,
0.6675690412521362,
-0.7331411838531494,
-0.13738960027694702,
0.23374855518341064,
0.3976935148239136,
-0.20027503371238708,
-0.4186473488807678,
-0.7834920883178711,
0.6626664996147156,
-0.1422506719827652,
0.5292534828186035,... |
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
Q: SECTION 1. PROGRAM ON PROVISION OF READJUSTMENT AND MENTAL HEALTH CARE
SERVICES TO VETERANS WHO SERVED IN OPERATION IRAQI
FREEDOM AND OPERATION ENDURING F... | Reform Americans Can Afford Act of 2010 - Repeals the Patient Protection and Affordable Care Act and the Health Care and Education Reconciliation Act of 2010, effective as of their enactment. Restores provisions of law amended by such Acts.
Enacts the Common Sense Health Care Reform and Affordability Act (H.R. 4038), ... | 4 | NIv2 | task1658_billsum_summarization | fs_opt | [
0.35262736678123474,
-0.09567708522081375,
-0.5136091709136963,
-0.7885963916778564,
0.9171169996261597,
-0.7099744081497192,
1.8077270984649658,
0.9893312454223633,
0.08268194645643234,
0.10107877850532532,
-0.09865397214889526,
0.498293936252594,
-0.41934847831726074,
0.30868154764175415... |
In this task you are given a short story and a question regarding that story. You must answer the question based on the events of the story. Try to use the same words in the story to answer each question. You should completely answer the question in a short answer. Do not include information that is unnecessary to answ... | We were about to leave when someone asked me for a cigarette. | 0 | NIv2 | task332_tellmewhy_answer_generation | zs_opt | [
-0.03310978785157204,
1.0401458740234375,
0.09477875381708145,
-0.43150925636291504,
-0.8857840895652771,
-0.8741922974586487,
1.000756025314331,
0.23570497334003448,
-0.47706934809684753,
-0.1327662467956543,
-0.6603394746780396,
0.0634993314743042,
-0.20469090342521667,
0.348440229892730... |
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