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: You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Q: Paragraph: The planets further from the Sun will have bigger orbits, and therefore take longer to revolve around the Sun.
Question: C... | larger orbit | 9 | NIv2 | task1731_quartz_question_answering | zs_opt | [
-0.09328535199165344,
0.8525755405426025,
-0.06499943882226944,
-0.23619452118873596,
-0.9953298568725586,
-1.156364917755127,
-0.09845178574323654,
0.15885771811008453,
0.5700415372848511,
0.17133302986621857,
-0.15360340476036072,
-0.0901079922914505,
-0.5531225204467773,
0.0693623423576... |
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).
Example: Alonzo feels angry.
Example solution: male
Example explanation: The gender of the person is correct and detected mainly based on the n... | Solution: male | 5 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.346748024225235,
0.4025905132293701,
-0.4122292101383209,
-0.4712447226047516,
-0.4144093692302704,
-0.4540429711341858,
0.9046069383621216,
0.19836030900478363,
0.6076530814170837,
-0.199127659201622,
-0.9125733971595764,
-0.13592272996902466,
-1.3007237911224365,
-0.08754713833332062,... |
TASK DEFINITION: You are given a context, a pronoun, and a noun in this task. The given pronoun is shown in the context within parentheses. You should determine if the pronoun refers to the given noun or not. Please answer with "True" and "False".
PROBLEM: Tom gave Ralph a lift to school so (he) wouldn't have to drive ... | True
| 8 | NIv2 | task1390_wscfixed_coreference | fs_opt | [
-0.05830827355384827,
0.4751082956790924,
0.22324202954769135,
-0.0792161226272583,
-0.12963062524795532,
-0.1130746528506279,
0.9692357778549194,
1.401281714439392,
0.2756423354148865,
0.02341914363205433,
-0.2642761468887329,
0.49346694350242615,
-0.5101790428161621,
-0.4371526539325714,... |
Given the task definition and input, reply with output. Two analogies that relate places/locations to the associated travel mode is given in the form "A : B. C : ?". "A : B" relates place A to travel mode B. Your task is to replace the question mark (?) with the appropriate travel mode for the given place C, following ... | bus | 5 | NIv2 | task1154_bard_analogical_reasoning_travel | zs_opt | [
-0.11024478077888489,
0.8719478845596313,
-0.6203926801681519,
-0.2568446397781372,
-0.8377350568771362,
0.6274040341377258,
0.8395541906356812,
0.2607541084289551,
0.20135414600372314,
-1.084139347076416,
-0.35712867975234985,
0.07706688344478607,
0.5551542043685913,
0.16164733469486237,
... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
Problem:Road Projects along International Borders 73 roads are identified as strategic Indo-China border roads (ICBR), out of which ... | କେନ୍ଦ୍ର ପରିସଂଖ୍ୟାନ ଏବଂ କାର୍ଯ୍ୟକ୍ରମ ପ୍ରବର୍ତ୍ତନ ମନ୍ତ୍ରଣାଳୟ ପକ୍ଷରୁ “ଅଣପଂଜୀକୃତ ଅଣ-କୃଷି ଉଦ୍ୟୋଗୀ (ନିର୍ମାଣକୁ ଛାଡ଼ି)” ଶୀର୍ଷକ ଉପରେ ଜାତୀୟ ସାମ୍ପଲ ସର୍ଭେ କାର୍ଯ୍ୟାଳୟ (NSSO) ଦ୍ୱାରା କରାଯାଇଥିବା 73 ତମ ସର୍ଭେ ରିପୋର୍ଟ ଅନୁସାରେ ପ୍ରତି 1000 ଏମଏସଏମଇ ମଧ୍ୟରୁ 195ଟି ଏମଏସଏମଇର ମାଲିକାନା ମହିଳାଙ୍କ ହାତରେ ରହିଛି । କେବଳ ଦିଲ୍ଲୀରେ ପ୍ରତି 1000 ଏମଏସଏମଇ ମଧ୍ୟରୁ 93... | 8 | NIv2 | task987_pib_translation_english_oriya | zs_opt | [
0.30114030838012695,
0.33614522218704224,
-0.13143786787986755,
0.2181975245475769,
-0.5258737802505493,
0.555575966835022,
0.6038494110107422,
-0.05454472452402115,
0.07819210737943649,
-0.04352875426411629,
-0.2789621949195862,
0.2222413420677185,
0.1137266606092453,
0.35350725054740906,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Tweet: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonym... | Yes | 0 | NIv2 | task839_cdt_classification | fs_opt | [
-1.2488329410552979,
0.7563255429267883,
0.31771284341812134,
0.5048831701278687,
-0.29374176263809204,
-0.41498029232025146,
1.0637093782424927,
-0.7372287511825562,
-0.05742079019546509,
0.23333415389060974,
-0.3624292016029358,
0.11355184763669968,
-0.4792572855949402,
-0.14374816417694... |
Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
--------
Question: Japanese: 屠殺の後の動物の脳の違いを調査することによって、ラムを性的にメス志向ではなくオス志向にするものに関... | No
| 7 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
0.16918796300888062,
-0.3487154245376587,
0.373521089553833,
0.09144759178161621,
-0.021133992820978165,
-0.4449084997177124,
0.08346647024154663,
-0.418974906206131,
-0.21036040782928467,
-0.046968258917331696,
-0.4973405599594116,
0.38844406604766846,
-0.8864054679870605,
0.2139531522989... |
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 alphabetical elements in the given list. Return 0 if no alphabetical element in the list
['m', 'b', '2099', '7601', 'u', '4613', 'V', '4509', 's', '5619'] | 5 | 0 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
0.08696842193603516,
0.43583109974861145,
-0.20799800753593445,
-0.2615269124507904,
0.009183749556541443,
-0.13475970923900604,
0.5153012275695801,
-0.2140742838382721,
-0.36137667298316956,
0.25187918543815613,
-0.5395132303237915,
0.5729100704193115,
0.17286249995231628,
-0.511033773422... |
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".
Ex Input:
Japanese: 警察は事件の調査に乗り出し、復讐攻撃を防ぐために地域を警護するさらなる人員を展開した。
Khamer: "យន្តហោះបានហោះហើរនៅកំពស់ខ្... | No
| 1 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
0.0425434410572052,
-0.19746209681034088,
-0.4448511004447937,
0.17057590186595917,
0.15757302939891815,
-0.9308016300201416,
0.33937305212020874,
0.5592703223228455,
-0.3856624960899353,
-0.12280666828155518,
-0.626054048538208,
0.7130029201507568,
-0.5885169506072998,
0.2720305621623993,... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a new line.
[... | When does the bachelor season 22 season finale air?
March 5, 2018
| 5 | NIv2 | task671_ambigqa_text_generation | fs_opt | [
-0.02889811247587204,
0.47252756357192993,
0.07330776751041412,
-0.4855690896511078,
-0.26371023058891296,
-0.1825404167175293,
0.24071455001831055,
0.5670647621154785,
-0.5885335803031921,
0.3330819606781006,
-0.12542615830898285,
-0.002658424200490117,
0.13097715377807617,
0.059212792664... |
Definition: In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
Input: He worked for then Rep. James Inhofe from 1990 to 1994 as his Legislative Director and Deputy Chief of Staff. In 1994 he ... | Fordham | 2 | NIv2 | task330_gap_answer_generation | zs_opt | [
-0.32120856642723083,
0.7591531872749329,
0.09470020979642868,
0.28629305958747864,
-0.0796089619398117,
-0.3183913230895996,
0.9816775321960449,
0.22208604216575623,
0.04801071062684059,
0.4801996052265167,
0.006597781553864479,
0.21874618530273438,
0.126786470413208,
-0.05633856356143951... |
Part 1. Definition
Given a passage, write a short incorrect summary based on the passage.
Part 2. Example
four east timorese youths who scaled the french embassy 's fence here thursday , left the embassy on their way to portugal friday .
Answer: UNK latest east javanese asylum seekers leave for peru
Explanation: The ex... | yankees postpone arms race : get stanton | 7 | NIv2 | task1579_gigaword_incorrect_summarization | fs_opt | [
0.25421953201293945,
1.111801266670227,
-0.15759985148906708,
0.01603803038597107,
0.14160209894180298,
-0.1067456528544426,
0.4863288998603821,
0.09582222253084183,
0.0020061770919710398,
0.5375164747238159,
0.26319006085395813,
0.4504716396331787,
-0.7183123826980591,
0.47681570053100586... |
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Example input: The debate is closed.
Example output: Jag förklarar debatte... | Vi måste nog notera att vi egentligen har uppnått vårt mål beträffande innehållet, men naturligtvis inte beträffande finanserna. | 3 | NIv2 | task313_europarl_en_sv_translation | fs_opt | [
-0.09474797546863556,
0.8597840666770935,
0.4541787803173065,
-0.9205291271209717,
0.08786847442388535,
-0.4609353244304657,
1.0834455490112305,
0.25950777530670166,
0.7310072183609009,
-0.06498294323682785,
0.3100988268852234,
1.0436606407165527,
-1.1576716899871826,
-0.10436034202575684,... |
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Ex Input:
I have tried many many many different brands. I also did my research on what's the best for my Dane and most of it is expensive. I found this to be ver... | Negative
| 1 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
0.139164000749588,
-0.4055631160736084,
0.10403028130531311,
-0.11352036893367767,
0.14452405273914337,
-0.19400759041309357,
0.5282667875289917,
1.2866454124450684,
-0.3012635409832001,
0.3312039375305176,
0.28683674335479736,
-0.18163344264030457,
-0.6315744519233704,
-0.1096322983503341... |
Detailed Instructions: 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.
See one example below:
Problem: ['238', 'h', '92', 'U', '27... | 18 | 4 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
0.1848081648349762,
-0.048638369888067245,
-0.650864839553833,
-0.3981347680091858,
0.13041608035564423,
-0.8172146677970886,
0.7626943588256836,
0.2851666510105133,
-0.7495197653770447,
0.31397897005081177,
-0.862216591835022,
0.49141672253608704,
0.12560977041721344,
0.38473162055015564,... |
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
One example: Text: The Mansfield Building Society is a UK building society which has its headquarters in Mansfield N... | 3 | 6 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
-0.4268135130405426,
0.46659037470817566,
0.7914152145385742,
-0.3090120553970337,
0.03720996528863907,
-0.5598402619361877,
0.23068878054618835,
0.7701997756958008,
0.25131815671920776,
0.014091556891798973,
-0.5406451225280762,
-0.14697234332561493,
-0.8747637867927551,
0.004394452087581... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
والآن ، فلنقل ، في قرارة نفسك ، أنت أخصّائي. | حالا فرض کنیم شما قلبأ یک متخصص هستید. | 0 | NIv2 | task1108_ted_translation_ar_fa | zs_opt | [
-0.589664101600647,
0.4843762516975403,
0.08813098073005676,
-0.2534116506576538,
0.09227988868951797,
0.4321906566619873,
0.24364079535007477,
0.6613235473632812,
0.9484598636627197,
0.4314521551132202,
-0.7515270709991455,
0.5673923492431641,
0.169348806142807,
0.6976998448371887,
1.40... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
--------
Question: Which former 'Eastenders' actor and Labour activist was elected to be one of the West Midlands representatives in the European parliamentary elections of 1999?
Answer: eastende... | dolore
| 7 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.5688056945800781,
0.7683246731758118,
-0.49163585901260376,
1.0126760005950928,
-0.6985228657722473,
-0.08158235251903534,
1.2135604619979858,
-0.2683376371860504,
-0.055714577436447144,
-0.06102169305086136,
0.2644388973712921,
0.2955630421638489,
-0.6333460807800293,
0.2311712801456451... |
Q: In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. You are expected to ... | Stereotype | 7 | NIv2 | task316_crows-pairs_classification_stereotype | zs_opt | [
0.2799907326698303,
0.2781229019165039,
-0.2158304750919342,
0.7176464796066284,
-0.062281399965286255,
-0.07908884435892105,
0.699298083782196,
1.1132831573486328,
1.127302646636963,
-0.16725197434425354,
-0.24879266321659088,
0.14744658768177032,
-0.6600023508071899,
-0.4784099757671356,... |
Given the task definition and input, reply with output. You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can a... | B, C, D. | 5 | NIv2 | task058_multirc_question_answering | zs_opt | [
0.5072355270385742,
1.1583489179611206,
-0.014481872320175171,
-0.019360847771167755,
0.5617091655731201,
-0.3816661834716797,
0.15226233005523682,
1.1944485902786255,
0.04970494657754898,
-0.11696920543909073,
-0.6910127401351929,
0.6444950103759766,
0.19608917832374573,
-0.73587703704833... |
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.
[Q]: 1 -2 lb pork back ribs, parboiled, 1 lb ham, 1 lb sausage, 1 lb shrimp, de-veined and peeled, 1 onion, chopped, 1 green pepper, chopped, 3 celery ribs,... | tomato sauce, oregano, basil, garlic, pepper
| 5 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
0.5042452216148376,
-0.6221926808357239,
-0.13033106923103333,
0.5668705105781555,
0.0738934725522995,
-0.16821052134037018,
0.9667572975158691,
0.7922082543373108,
-0.4275082051753998,
-0.11151401698589325,
0.283128947019577,
0.24033454060554504,
-1.2018828392028809,
-0.1583782136440277,
... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Q: And then it could help track that for you.
A: | するとそれらの情報を追う手助けをしてくれるのです | 4 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-1.098879337310791,
0.11245132237672806,
-0.1678723394870758,
0.07324197143316269,
-0.09747810661792755,
-0.7705417275428772,
-0.27176403999328613,
0.00812101736664772,
0.5204038023948669,
-0.7271283268928528,
0.19157230854034424,
0.2564951777458191,
-0.05164090916514397,
0.404130816459655... |
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.
Passage: The stele was erected after the coronation of King Ptolemy V and was in... | Ptolemy V Epiphanes. | 0 | NIv2 | task002_quoref_answer_generation | zs_opt | [
1.2600970268249512,
0.502299427986145,
-0.6853867769241333,
-0.2827606499195099,
0.02054634876549244,
-0.1000388115644455,
0.6844714879989624,
0.7312670946121216,
0.40890657901763916,
0.26917213201522827,
-0.4888933300971985,
0.6405037641525269,
-0.8862490653991699,
-0.01686432771384716,
... |
In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related... | 1 | 6 | NIv2 | task1541_agnews_classification | fs_opt | [
-0.7409682273864746,
0.5090913772583008,
0.009204825386404991,
0.34348583221435547,
0.053243909031152725,
0.2744702696800232,
-0.36723557114601135,
0.4255223274230957,
0.07332563400268555,
0.1726011484861374,
-0.7460406422615051,
0.5999231338500977,
-0.018120810389518738,
-0.45624363422393... |
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... | rivalry | 3 | NIv2 | task401_numeric_fused_head_reference | fs_opt | [
0.10122683644294739,
0.2032298594713211,
-0.6770046949386597,
0.11338282376527786,
0.1848495602607727,
-0.5756290555000305,
0.4545355439186096,
0.5865305066108704,
-0.49087652564048767,
0.16207674145698547,
-0.11754679679870605,
-0.12632274627685547,
-0.7215288281440735,
-0.229297041893005... |
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: 3, ['9389', '9215', '6819', 'i', '6709', 'p', 'M'... | i, 6709, p, M, 6523, 4953 | 6 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
0.032813455909490585,
-0.2519076466560364,
-0.2205798625946045,
-0.7567330002784729,
-0.7171118259429932,
-0.14617468416690826,
0.4497867822647095,
0.3013789653778076,
0.11516018211841583,
-0.15333746373653412,
-0.8495330810546875,
-0.33871349692344666,
0.37110698223114014,
-0.630975365638... |
Teacher: In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the... | He saw the bodily fluids collecting near his feet. | 2 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.49895918369293213,
-0.127071350812912,
0.3184857964515686,
0.0889727771282196,
0.283922016620636,
-1.1168856620788574,
-0.5270185470581055,
0.49325138330459595,
0.44485655426979065,
-0.1849198043346405,
0.07903293520212173,
-0.2578989267349243,
-0.6098232269287109,
-0.3913460075855255,
... |
Given the task definition, example input & output, solve the new input case.
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: Sentence: 'a white cat on a desk near a computer monitor'. Count the number of ... | 20 | 1 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.5788383483886719,
0.5768485069274902,
-0.6318105459213257,
-0.3435271382331848,
0.16494321823120117,
-0.1346006542444229,
-0.36739468574523926,
0.871800422668457,
0.12618066370487213,
-0.24068066477775574,
-0.04519861936569214,
0.008592674508690834,
0.3834467828273773,
-0.669989109039306... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in Hindi, generate a new Hindi 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... | आपको नमक के बड़े शरीरों में सुई मिल सकती है । | 1 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
-0.7067607641220093,
0.6571046710014343,
0.33784592151641846,
0.098759725689888,
-0.1307394802570343,
-0.23201648890972137,
0.03786484897136688,
0.9203606843948364,
-0.45989537239074707,
-0.7349478006362915,
-0.7446942329406738,
-0.09078353643417358,
-0.18485794961452484,
-0.31194779276847... |
Detailed Instructions: Given a sentence in Arabic, generate a new Arabic sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonabl... | « وتبدلون » تبدلون « من الثياب » الثياب. | 9 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | zs_opt | [
-0.06306760013103485,
0.5970220565795898,
0.10285517573356628,
-0.7463055849075317,
-0.024569980800151825,
-0.4659743309020996,
1.2140510082244873,
0.4078995883464813,
-0.15528705716133118,
0.05873870104551315,
-0.4609258770942688,
0.5537047386169434,
-1.136265516281128,
0.1696506142616272... |
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No". ... | Yes
| 3 | NIv2 | task496_semeval_answer_generation | fs_opt | [
-0.4807747006416321,
0.22818516194820404,
0.6010923981666565,
-0.0771317332983017,
-0.469806969165802,
-0.7773737907409668,
-0.3759741485118866,
1.1745058298110962,
0.1425427794456482,
-0.03217216953635216,
-0.7173795700073242,
-0.18772587180137634,
-0.5537420511245728,
0.17770999670028687... |
Definition: 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 sho... | Yes | 2 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
0.047021932899951935,
0.3317018449306488,
0.5493063926696777,
0.7945654988288879,
0.22815001010894775,
-0.7304580807685852,
0.5092933177947998,
0.3496439456939697,
-0.7156881093978882,
-0.1903040111064911,
0.005078236106783152,
0.3328925371170044,
-0.3856081962585449,
0.4880704879760742,
... |
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 confuse the subject of the... | The people are looking at a laptop. | 4 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.33006972074508667,
0.7581487894058228,
0.06219646334648132,
-0.549310564994812,
0.2401302605867386,
-0.7371641397476196,
0.44525146484375,
0.2205083668231964,
0.9096612930297852,
-0.6133927702903748,
-1.0175913572311401,
-1.0065521001815796,
-0.18535710871219635,
-0.3990241289138794,
... |
Part 1. Definition
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a ch... | He told a really scary story. | 7 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.13117338716983795,
0.9061695337295532,
-0.05301174521446228,
-0.8593989610671997,
-0.550665020942688,
0.4418386220932007,
0.819142758846283,
0.3666445016860962,
-0.10139310359954834,
-0.5546807050704956,
-0.7385224103927612,
0.36986875534057617,
-0.11054055392742157,
0.02250776253640651... |
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 Polish. Your job is to translate the Polish sentence into Farsi.
EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować ponownie w ciągu kilku minut.
S... | این شي به عنوان ساختمانِ "" تم "" شناخته شده ؛ که این نام را بنا به دلایلی که هنوزهم بسیار مبهمه به خود گرفته. که این نام را بنا به دلایلی که هنوزهم بسیار مبهمه به خود گرفته. | 0 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.24768388271331787,
0.9083234071731567,
0.6308115720748901,
-0.03953125700354576,
-0.582819402217865,
0.29152148962020874,
1.4984530210494995,
-0.045231424272060394,
-0.29409098625183105,
-0.4502251148223877,
-0.8538610935211182,
1.0407975912094116,
-0.932966947555542,
0.5142149925231934... |
Teacher:In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
Teacher: Now, understand the problem? Solve this instance: ['1763', '4417', '8473', 'N']
Student: | N | 6 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
0.093196801841259,
0.44053468108177185,
0.021047299727797508,
-0.39439526200294495,
-0.1438038945198059,
-0.5164409875869751,
0.7288029193878174,
-0.07655902206897736,
0.18317019939422607,
0.48021841049194336,
0.12752166390419006,
-0.541960597038269,
-0.006288216449320316,
-0.5370079278945... |
Q: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
For some backstory, I'... | making my mom depressed after giving her an ultimatum of choosing me my step dad | 7 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
0.4627087116241455,
0.2538386583328247,
-0.0997246652841568,
-0.263403058052063,
0.18298092484474182,
-0.009348971769213676,
0.8340898156166077,
1.3625239133834839,
0.3367840647697449,
0.20058834552764893,
0.1438128799200058,
0.7925331592559814,
-0.9905300140380859,
-0.32700884342193604,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
--------
Question: Darwin notò che molte delle nostre virtù servono a ben poco per gli individui, ma sono molto importanti a livello di gruppo.
Answer: ダーウィンは記しています、徳の多くが私たち自身にはほとんど役に立たないが、私たちの集団には大いに役に立つと。
Question: Or... | 最下部に表示されている、教え方の質に全く影響のない要素とは修士号を所持しているということです。
| 7 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
-0.7606748342514038,
0.2641362249851227,
-0.1565997302532196,
-0.4859192669391632,
-1.0017468929290771,
-0.45247942209243774,
0.7305018901824951,
0.0684831440448761,
-0.18686234951019287,
-0.7316762804985046,
-0.5815034508705139,
0.42083239555358887,
-0.8067220449447632,
0.3778668642044067... |
Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given paragrap... | With her brother, Wykham Delandre. | 9 | NIv2 | task054_multirc_write_correct_answer | fs_opt | [
0.9317552447319031,
0.1798374503850937,
-0.6126381158828735,
0.05554363876581192,
-0.13427123427391052,
-0.9731673002243042,
0.06834929436445236,
1.1284799575805664,
1.1691741943359375,
0.3012095093727112,
-0.4435104727745056,
0.8678613901138306,
-0.6967644095420837,
-0.541609525680542,
... |
Part 1. 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.... | No | 7 | NIv2 | task1210_atomic_classification_madeupof | fs_opt | [
0.8210782408714294,
0.4531041979789734,
-0.008297419175505638,
-0.05976772680878639,
-0.5705196261405945,
-0.8674770593643188,
1.2692164182662964,
0.3195415139198303,
-0.4395182728767395,
-0.6027560234069824,
-0.6818059682846069,
-0.32531240582466125,
-0.8167139291763306,
0.105308532714843... |
Teacher:Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Teacher: Now, u... | True | 6 | NIv2 | task494_review_polarity_answer_generation | zs_opt | [
-0.4326888918876648,
-0.12390001118183136,
0.7393721342086792,
-0.35224926471710205,
0.31263279914855957,
-1.1745126247406006,
1.360377550125122,
0.10568003356456757,
0.5830779075622559,
0.054677825421094894,
-0.2242690920829773,
-0.2573869228363037,
-0.45521312952041626,
-0.44834756851196... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Sentence1: Marcus wanted to give his Mom a great birthday gift. Sentence2: He just couldn... | Marcus, Sister, Mom | 1 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
-0.09874364733695984,
0.29904574155807495,
-0.06406235694885254,
-0.33131060004234314,
0.24020059406757355,
-0.2532700300216675,
0.4139571189880371,
1.0603588819503784,
0.3723873496055603,
0.2771351635456085,
-0.5582586526870728,
-0.7787333726882935,
-0.19647684693336487,
-0.10484179854393... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand ... | She thinks that the man should be more interested in sports. | 1 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
0.27275359630584717,
0.5526797771453857,
-0.2594037652015686,
-0.6274977922439575,
0.3938067555427551,
0.2991619110107422,
0.7502329349517822,
0.17924371361732483,
0.6083583831787109,
-0.4947763979434967,
-0.8420999050140381,
-0.03585180640220642,
0.33403101563453674,
-0.44898009300231934,... |
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 neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse ... | A group of women, men, and children are excited.
| 6 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
0.10359014570713043,
0.2952633202075958,
0.13780932128429413,
-0.3115766942501068,
-0.12563852965831757,
-0.842123806476593,
0.14922890067100525,
0.7250322103500366,
0.39530399441719055,
-0.4078574776649475,
-1.178162693977356,
-0.6680614948272705,
-0.44087398052215576,
-0.3192999362945556... |
Detailed Instructions: Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
Q: The AJK Jaguars (Urdu: ) are a Pakistani men's professional Twenty20 cricket team that competes in the Haier T20 League and based in Mirpur, Azad Jammu and Kashmir, P... | Which sport has connection with AJK Jaguars? | 9 | NIv2 | task470_mrqa_question_generation | zs_opt | [
-0.45111826062202454,
0.8771674633026123,
-0.29764795303344727,
-0.18953385949134827,
0.15397921204566956,
-0.10311492532491684,
0.6754257082939148,
-0.7013002634048462,
-0.25513705611228943,
-0.29102542996406555,
0.11324325203895569,
0.8472391366958618,
-1.240341067314148,
-0.435012042522... |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Favor | 4 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | zs_opt | [
-0.5009946227073669,
0.5513196587562561,
0.2596236765384674,
0.31413745880126953,
-0.473133385181427,
-1.180911660194397,
0.13733968138694763,
0.8557723760604858,
0.03688845783472061,
0.6587333679199219,
-0.4693635106086731,
0.1989189088344574,
-0.4790138304233551,
-0.5864304304122925,
-... |
In this task, you are given two sentences in the English language (Sentence 1 and Sentence 2). Your task is to identify the connecting word between the two sentences.
Sentence 1:This is known as the sidereal month . Sentence 2:However , during one sidereal month , Earth has revolved part way around the Sun , making th... | however | 0 | NIv2 | task563_discofuse_answer_generation | zs_opt | [
0.027420245110988617,
0.986473560333252,
-0.023263951763510704,
-0.3664920926094055,
-0.2001015841960907,
-1.177741289138794,
-0.9947456121444702,
1.140385627746582,
-0.33775484561920166,
0.060457486659288406,
-0.34988704323768616,
-0.6785764694213867,
-0.2843552231788635,
0.35852414369583... |
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 preceding the last i elements. i will always have a value less than the length of A.
Q: 8, ['O', '6413', 'F', '1129', 'N', 'c', 'v', '9883', '4557', 'd', '8915', 'p', '6975', 'n', 'N', '9245', '1759... | O, 6413, F, 1129, N, c, v, 9883, 4557, d, 8915 | 4 | NIv2 | task078_all_elements_except_last_i | zs_opt | [
0.41214340925216675,
-0.17483961582183838,
-0.6683264970779419,
-0.26991671323776245,
-0.5225204825401306,
-0.22531089186668396,
0.9384386539459229,
-0.24403280019760132,
-0.33844026923179626,
-0.307096928358078,
-1.0351040363311768,
-0.23151801526546478,
0.2335994839668274,
-0.43518751859... |
Teacher:In this task, you will be shown a sentence, and you should determine whether it is overruling or non-overruling. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent by a constitutionally valid statute or a decision by the same or higher ranking court which establ... | overruling | 6 | NIv2 | task274_overruling_legal_classification | zs_opt | [
-0.4984720051288605,
0.6793741583824158,
0.422049880027771,
-0.4313931465148926,
-0.13259872794151306,
-0.5901111364364624,
0.4859082102775574,
0.8082506656646729,
0.314246267080307,
-0.2653937339782715,
-0.3311395049095154,
-0.6173432469367981,
-0.6369421482086182,
-0.12518097460269928,
... |
Detailed Instructions: In this task, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect to time e.g., something happens/starts/terminates/... immediately/shortly/usually/... before/afte... | What event has already finished? | 4 | NIv2 | task389_torque_generate_temporal_question | fs_opt | [
-0.03787175565958023,
1.0115365982055664,
0.009695933200418949,
0.16704536974430084,
-0.16892847418785095,
-0.5400660037994385,
0.6323167085647583,
0.7380980849266052,
0.5210388898849487,
0.2504686713218689,
-0.004285368137061596,
0.27362918853759766,
-0.8227111101150513,
0.225029945373535... |
Q: A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
இந்த ஆராய்ச்சிக்கழகம் சிறிய அளவிலான ஒரு மருத்துவமனையாகத் தொடங்கப்பட்டது.
A: | ఈ సంస్థ ఒక చిన్న కుటీర వైద్య శాల గా మొదలైంది. | 7 | NIv2 | task1075_pib_translation_tamil_telugu | zs_opt | [
0.1278235763311386,
1.2975469827651978,
0.0038985705468803644,
0.12412905693054199,
-0.091377392411232,
-1.1353591680526733,
0.10664309561252594,
1.0063936710357666,
0.41003039479255676,
-0.582072377204895,
-0.019176773726940155,
0.10763771831989288,
-0.507728099822998,
0.30926933884620667... |
Detailed Instructions: 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... | 3, 4, 5, 6, 9, 10, 12 | 8 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
0.09692655503749847,
0.5015429258346558,
0.047924768179655075,
-0.8928717970848083,
0.3633246123790741,
-0.22161278128623962,
1.0816614627838135,
-0.03574501723051071,
-0.2985156774520874,
0.35931092500686646,
-0.008599568158388138,
0.13655582070350647,
0.4572502076625824,
-0.3803606331348... |
You will be given a definition of a task first, then some input of the task.
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: being burried under soil and mud changes peat into coal through extreme h... | H | 1 | NIv2 | task1297_qasc_question_answering | zs_opt | [
0.2659858465194702,
0.7055144309997559,
-0.11566774547100067,
-0.37888264656066895,
-0.8023993968963623,
-1.6021536588668823,
0.5277701020240784,
0.8998681902885437,
-0.15545180439949036,
-0.0719008594751358,
-0.2398192286491394,
-0.5419875383377075,
-0.14609326422214508,
-0.46840271353721... |
Detailed Instructions: In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link info... | How many years were there between Bryson Sr's arrival in Canada and the establishment of the Bank of Ottawa? | 9 | NIv2 | task235_iirc_question_from_subtext_answer_generation | zs_opt | [
0.34400850534439087,
0.43145978450775146,
-0.6632294654846191,
-0.054909441620111465,
0.25649696588516235,
-0.7822952270507812,
0.7170054912567139,
0.14518830180168152,
0.7427668571472168,
0.6126819252967834,
-0.4340256154537201,
0.7125440835952759,
-0.47917279601097107,
-0.146774262189865... |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
One example: Italy have defeated Portugal 31-5 in Pool C of the 2007 Rugby... | ジャーナリスト保護委員会によれば、今年パキスタンで９人のジャーナリストが殺され、２０１０年には少なくとも１６人が殺された。 | 6 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.0896182507276535,
0.6614344120025635,
-0.2719957232475281,
0.1776987612247467,
-0.04278108477592468,
0.0014040106907486916,
0.49155193567276,
0.5873816609382629,
0.006917955353856087,
-0.22385051846504211,
-0.5417094826698303,
0.6609439253807068,
-0.6862359046936035,
0.38127267360687256... |
Detailed Instructions: In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on the label and the premise sentence... | تخم این ماهی هم مثل خاویار معمولی قابل خوردن است. | 8 | NIv2 | task464_parsinlu_entailment_sentence_generation | zs_opt | [
-0.9789606332778931,
0.18192940950393677,
0.27065569162368774,
-0.08737456798553467,
0.041897885501384735,
-0.18841226398944855,
0.7394625544548035,
0.18431034684181213,
0.5717573165893555,
-0.44818949699401855,
-0.02356935665011406,
0.37121349573135376,
-0.3697315454483032,
0.175719916820... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
وكان هناك الكثير من الرعب.
Output: | And there was a lot of terror. | 1 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-0.08257824182510376,
0.6840475797653198,
0.13406586647033691,
-0.5201401114463806,
-0.35280516743659973,
0.22829312086105347,
0.7293720245361328,
0.54522705078125,
0.6223060488700867,
0.03457189351320267,
-0.5867937207221985,
-0.08997685462236404,
-0.785028338432312,
-0.22477108240127563,... |
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 when the individual's beli... | red_crate
| 6 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
-0.053059350699186325,
-0.7170023918151855,
-0.5121915936470032,
0.02795136719942093,
-0.2330179363489151,
-0.2877808213233948,
-0.25506511330604553,
0.7290883660316467,
0.2179434597492218,
-0.12457814812660217,
-0.34389907121658325,
0.22612443566322327,
0.41202881932258606,
0.297590315341... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Q: Personality: I got married last year.
I live on a boat.
I'm a hair stylist.
I've my own s... | Hola.
****
| 4 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.13362379372119904,
0.22347280383110046,
-0.6999783515930176,
0.17314735054969788,
0.41677379608154297,
-0.20025236904621124,
1.1534861326217651,
0.35321682691574097,
-0.19280967116355896,
-0.17128391563892365,
0.06287336349487305,
0.22901132702827454,
-0.5699596405029297,
0.3198740482330... |
In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].
Example input: Este artículo no es un artículo de investigación, ya qu... | en | 3 | NIv2 | task265_paper_reviews_language_identification | fs_opt | [
-0.3022616505622864,
0.48911067843437195,
0.24366876482963562,
-0.32044875621795654,
0.08978349715471268,
-0.7039488554000854,
1.0305594205856323,
0.8203736543655396,
0.11181867122650146,
0.26044583320617676,
-0.3272187411785126,
0.48502230644226074,
0.1612623631954193,
0.26954227685928345... |
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 easily unde... | A Long Long Way is 292 pages long and was published in print & paperback. | 2 | NIv2 | task1409_dart_text_generation | zs_opt | [
-0.5488648414611816,
0.2627711892127991,
-0.526269257068634,
-0.5501484870910645,
-0.28999727964401245,
0.7107667922973633,
0.536197304725647,
-0.5661157369613647,
-0.17598587274551392,
-0.6914495825767517,
-0.8922095894813538,
0.20814639329910278,
0.26418817043304443,
-0.35531675815582275... |
Part 1. Definition
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language.
Part 2. Example
It is NOT a function of the intermediate filaments
Answer: NO es una función de los filamentos intermedios
Explanation: The language translation is ... | Durante la valoración focalizada del patrón respiratorio del Sr. Juan Antonio de 68 años, encuentra las siguientes características frecuencia y profundidad de las respiraciones irregular, con períodos de apnea combinados con períodos de respiraciones que aumentan en profundidad y frecuencia para luego ir disminuyendo p... | 7 | NIv2 | task1432_head_qa_language_translation_en_to_es | fs_opt | [
-0.34333449602127075,
-0.09932669252157211,
-0.049792930483818054,
-0.26370909810066223,
0.16321629285812378,
0.12034633755683899,
0.8792531490325928,
0.2982684373855591,
-0.3681372106075287,
-0.31986647844314575,
-0.39913445711135864,
0.030772291123867035,
-0.3735264539718628,
0.299904465... |
Definition: In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Input: His daddy had even made him a kid-sized lariat that could be strapped to the gun belt.
Output: | Singular | 2 | NIv2 | task430_senteval_subject_count | zs_opt | [
-0.8333101868629456,
0.7463260889053345,
-0.3352973461151123,
-0.3609623312950134,
-0.6830141544342041,
0.3320328891277313,
1.199920654296875,
-0.23369400203227997,
-0.03311948850750923,
-0.42293280363082886,
-0.8379697203636169,
0.5672472715377808,
-0.904868483543396,
0.09347255527973175,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or pr... | NOT | 0 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-0.7254420518875122,
0.514085054397583,
0.38697683811187744,
0.6389559507369995,
-0.5733492970466614,
-0.5405008792877197,
0.6024655103683472,
0.5138875842094421,
0.9419443011283875,
0.18976077437400818,
0.3540796637535095,
-0.17216253280639648,
-0.4615741968154907,
-0.467736154794693,
0... |
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 can also be boolean \*yes\* or \*no\*.
Example: when are hops added to the brew... | Solution: Alan Shearer | 5 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.36672577261924744,
0.3737049698829651,
-0.042598381638526917,
0.2821807265281677,
-0.38043665885925293,
-0.6947953701019287,
0.9993577003479004,
0.24177512526512146,
0.232281893491745,
-0.6159161329269409,
-0.9860246777534485,
0.11861004680395126,
-0.3209715485572815,
0.1241110637784004... |
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 as ... | c | 0 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.5485246777534485,
0.9537439346313477,
-0.4906015992164612,
0.17960962653160095,
0.05340685695409775,
-0.770896852016449,
0.019914373755455017,
1.1495426893234253,
-0.20796000957489014,
0.5508292317390442,
0.11880677193403244,
0.13220810890197754,
-0.05125700682401657,
-0.1732217520475387... |
Detailed Instructions: Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 r... | road IsA place | 8 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
-0.048100195825099945,
1.0943183898925781,
0.39809370040893555,
-0.511421263217926,
-0.7222105264663696,
-0.5131744146347046,
0.916400134563446,
0.02877696231007576,
0.357949435710907,
-0.8066032528877258,
-0.9056737422943115,
0.07231700420379639,
-0.3991343379020691,
-0.06490969657897949,... |
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: الهوية كانت تُعرف في الأصل بالعرق ، والدولة القومية عكست ذلك.
Student: | Zatem tożsamość była określana głównie przez etniczność, a państwo narodowe odzwierciedlało ten stan. | 6 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
-0.16208100318908691,
0.5180767774581909,
0.10195014625787735,
-0.8394078016281128,
-0.679140567779541,
-0.09427602589130402,
0.9704023599624634,
0.3289845585823059,
0.25776174664497375,
0.2194204181432724,
-0.1594287008047104,
-0.10896584391593933,
-0.8884783983230591,
-0.6060081720352173... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely g... | 1 | 1 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
-0.36148518323898315,
-0.29915449023246765,
0.3003406524658203,
0.025394529104232788,
0.5940444469451904,
0.08422799408435822,
0.6677547693252563,
0.7727702856063843,
-0.4501531720161438,
0.6430051326751709,
-0.181026428937912,
-0.5412157773971558,
-0.5248048901557922,
-0.02803079783916473... |
Teacher: In this task, you are given an app review. Your task is to identify whether its sentiment is "Positive" or "Negative".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Fantastic app! When I connect my BT headset I have it set to read important notifications - add tha... | Positive | 2 | NIv2 | task761_app_review_classification | fs_opt | [
-0.762119472026825,
-0.2447824478149414,
0.2345067858695984,
-0.9239208102226257,
0.1970314234495163,
-1.5241371393203735,
0.4750342071056366,
0.380086749792099,
0.5329871773719788,
0.18247029185295105,
-0.20290416479110718,
0.031908806413412094,
0.11822184920310974,
-0.6345281600952148,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your ans... | 1 | 1 | NIv2 | task1612_sick_label_classification | fs_opt | [
-0.37910500168800354,
0.7893878221511841,
-0.14674349129199982,
0.07241302728652954,
0.30846676230430603,
-0.05338910222053528,
0.09677773714065552,
0.5911232829093933,
0.24980953335762024,
-0.03550715744495392,
-0.03613593429327011,
-0.22380287945270538,
0.2210298478603363,
-0.39136466383... |
Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur before t2, t1... | True
| 5 | NIv2 | task1507_boolean_temporal_reasoning | fs_opt | [
0.08922360092401505,
-0.16912700235843658,
-0.7569586038589478,
0.739303708076477,
-0.31557828187942505,
-0.8445852994918823,
-0.30930542945861816,
0.8532640933990479,
-0.7849512100219727,
0.07295584678649902,
-0.3557793200016022,
-0.006271223537623882,
-0.14113849401474,
-0.24054291844367... |
Detailed Instructions: 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 characters and proper nouns and context of the commentary done.
Q: Zoals voormalig president Bill C... | Como o antigo Presidente Bill Clinton salientou no seu Discurso do Estado da União em 1994: “[Nós] medimos todas as escolas por um padrão elevado: As nossas crianças estão a aprender o que precisam de saber, para competir e vencer na economia global?” | 9 | NIv2 | task1375_newscomm_translation | zs_opt | [
-0.889432966709137,
0.9198808670043945,
-0.04881608486175537,
0.0009000838035717607,
-0.04229838028550148,
-0.5214350819587708,
-0.0682264119386673,
0.7529167532920837,
-0.000009033828973770142,
0.07429800182580948,
-0.2649308741092682,
0.5995062589645386,
0.004442659206688404,
-0.03105961... |
Instructions: The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Input: PersonX loves PersonX's ___ dearly
Output: | to show his love and affection | 3 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.20298877358436584,
0.7526726722717285,
-0.21763396263122559,
-0.3858043849468231,
-0.4692438244819641,
-0.7257671356201172,
0.6208856105804443,
0.11462521553039551,
0.11098246276378632,
-0.27085867524147034,
-0.3628395199775696,
-0.125397726893425,
-0.6092078685760498,
0.348877727985382... |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
One example: Sentence: 'a hot dog in a bun with ketchup on a plate with french fries'. How many words start with the letter 'a' in the sentence.
Solution is here: 3
Explanation: The wor... | 1 | 6 | NIv2 | task162_count_words_starting_with_letter | fs_opt | [
0.06408638507127762,
0.22224968671798706,
-0.0065237125381827354,
-0.37003982067108154,
-0.4252217710018158,
-0.4016542136669159,
0.16891227662563324,
0.40616023540496826,
-0.006115410476922989,
-1.2547591924667358,
-0.3991314172744751,
-0.09129469096660614,
-0.3555378317832947,
0.06460809... |
Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thou... | no | 4 | NIv2 | task361_spolin_yesand_prompt_response_classification | zs_opt | [
0.15444770455360413,
0.2334105521440506,
0.5146000385284424,
0.3158257007598877,
0.0861140638589859,
-0.941240668296814,
-0.19505369663238525,
0.789577841758728,
-0.1932014524936676,
0.022755328565835953,
-0.541388750076294,
-0.08623398095369339,
-0.42206043004989624,
0.5308715105056763,
... |
Q: In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creati... | When I was younger, I went to summer camp. | 7 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.4316842555999756,
1.046504020690918,
-0.8066686391830444,
-0.4421810209751129,
-0.6020167469978333,
-0.8650891780853271,
0.8368754386901855,
0.3350200057029724,
0.00426572235301137,
-0.1316445767879486,
0.045592352747917175,
0.49638640880584717,
-0.9387755393981934,
0.19204552471637726,... |
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Input: Consider Input: not well why is that cough and cold
Output: sad
Input: Consider Input: hate you why why why i have more reasons than you do you go... | Output: sad
| 2 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-0.32235103845596313,
0.3064754009246826,
0.8227373361587524,
-0.6490502953529358,
0.3602104187011719,
-0.6419335603713989,
0.4233079254627228,
0.3071324825286865,
0.5786709189414978,
0.261044979095459,
-0.0927455872297287,
-0.4045454263687134,
-0.7820519804954529,
-0.2570539712905884,
-... |
Teacher: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Teacher: Now, understand the problem? If you are still confused, see the following example:
شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
Solution: אתם רואים ... | אז אני אומרת לכם ללכת לכיוון חוסר הנוחות שלכם. | 2 | NIv2 | task1269_ted_translation_fa_he | fs_opt | [
-0.9582830667495728,
0.36905890703201294,
-0.19460183382034302,
0.00473271869122982,
-0.6892310380935669,
-0.6276631951332092,
0.3918367326259613,
0.18238255381584167,
0.4062919020652771,
-0.08488233387470245,
-0.4735611081123352,
0.6047158241271973,
-0.6648621559143066,
-0.151143223047256... |
Detailed Instructions: Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
See one example below:
Problem: I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The price is amazingly low and the l... | The best | 4 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
-0.10565834492444992,
0.07560811936855316,
-0.3046456277370453,
-0.21787923574447632,
0.13752342760562897,
-0.6201260089874268,
0.6129082441329956,
0.5663542151451111,
0.2328263521194458,
0.7219151258468628,
-0.03936391323804855,
0.2843436002731323,
-0.7641863822937012,
-0.3779810667037964... |
Teacher: 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 incomplete ju... | The Sun would never again reveal a person's sexuality unless it could be defended on the grounds of "overwhelming public interest" | 2 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.7055878043174744,
0.39098483324050903,
-0.03273714706301689,
0.2882364094257355,
-0.009049016050994396,
-0.3509948253631592,
0.6774059534072876,
0.38102173805236816,
0.4315558075904846,
-0.0012253294698894024,
-0.21876442432403564,
0.3270772099494934,
-0.8039604425430298,
-0.084556214511... |
The provided file includes inquiries about restaurants in Persian, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for... | where is the nearest " mexican " restaurant with at least a 6 star review ?
****
| 4 | NIv2 | task258_spl_translation_fa_en | fs_opt | [
-0.6925146579742432,
0.8534033894538879,
0.12182776629924774,
-0.035750288516283035,
-0.05769367516040802,
0.03266356140375137,
0.730399489402771,
0.47172558307647705,
0.010259626433253288,
-0.09254147112369537,
0.4681509733200073,
0.49393147230148315,
-0.1461351215839386,
0.62335371971130... |
Part 1. Definition
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Part 2. Example
Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
Answer: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
Explanat... | As viñetas atravesan fronteiras, como xa vistes. | 7 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-0.9114732146263123,
0.9477567672729492,
-0.17463701963424683,
-0.8376878499984741,
-0.14831168949604034,
-0.46669667959213257,
0.9727751612663269,
0.27675315737724304,
0.24066567420959473,
-0.07476046681404114,
-0.6508980989456177,
1.072791576385498,
-0.1284562200307846,
0.046209923923015... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
You are somebody who is so passionate.
Macie w sobie pasję.
Performance, if you are missing it, you only have the memory, or the story of somebody else telling you, but you actually missed the whole thing.
Jeśli nie weźmie... | Wiersz nazywa się "" Wieś "". (Wideo) Narracja: "" Wieś "". Dziwiłem ci się gdy mówiłeś, żebym nigdy nie zostawiał pudełka zapałek sztormowych w pobliżu domu bo myszy mogą się do nich dostać i wzniecić pożar.
| 0 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-0.26332584023475647,
0.5075356960296631,
-0.23754119873046875,
-0.3319689929485321,
0.21734997630119324,
-0.9112057685852051,
1.3046879768371582,
-0.4690340757369995,
-0.6814978122711182,
0.08053167164325714,
0.09835214912891388,
0.6358150243759155,
-0.7845451831817627,
0.2436609864234924... |
Detailed Instructions: Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and... | It gives me variety. | 8 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.4897322654724121,
0.9586830139160156,
0.1090560331940651,
0.3381522297859192,
0.27548807859420776,
-0.6755405068397522,
0.12432384490966797,
0.6425964832305908,
-0.18309064209461212,
-0.4237644672393799,
-0.6712073087692261,
-0.06844083219766617,
-0.8658203482627869,
0.5308345556259155,
... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
השמש הפכה את העלים זוהרים, כמו זכוכית צבועה, ואילולא השביל עליו צעדנו, היינו יכולים כמעט לדמיין שאנו בני האדם הראשונים שכף רגלם דורכת שם.
A: | Dzięki słońcu liście błyszczały jak witraże i gdyby nie wydeptana ścieżka, można by udawać, że jesteśmy pierwszymi ludźmi na tej ziemi. | 7 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
-0.3944723606109619,
1.4421546459197998,
-0.5229296088218689,
0.05816479027271271,
-0.9095954895019531,
-0.849261999130249,
0.88270503282547,
-0.07857413589954376,
0.3198511600494385,
-0.1638970971107483,
-0.10728585720062256,
0.005488086491823196,
-0.33874601125717163,
-0.3408154845237732... |
Detailed Instructions: Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Problem:Male stinkpots mature at ____ to seven years of age and females at nine to eleven.
Solution: | four | 8 | NIv2 | task1359_numer_sense_answer_generation | zs_opt | [
-0.2268533855676651,
0.511462926864624,
-0.49657946825027466,
-0.8938903212547302,
0.13056816160678864,
-0.5082653760910034,
0.28234565258026123,
0.05280666798353195,
0.10024487972259521,
0.04239292070269585,
-0.19311295449733734,
0.43439123034477234,
-1.0723850727081299,
-0.17577061057090... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Example input: 2007 में फ़्रांस, पेरिस के पार्क डेस प्रिंसेस में हुए रग्बी व... | The quake was reported at a depth of 7.5 k.m. (4.7 miles), but the USGS says it was "poorly constrained." | 3 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
-0.019223256036639214,
1.0904685258865356,
0.016879120841622353,
0.2785835266113281,
0.1264285445213318,
-0.9004912972450256,
-0.22476141154766083,
0.2977949380874634,
0.06919948011636734,
-0.6358726024627686,
-0.49064069986343384,
0.546963095664978,
-0.004863113630563021,
0.53043937683105... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
--------
Question: And words and enthusiasm actually happen to be the recipe for lexicography. Isn't that great?
Answer: そして単語と熱意は辞書編纂にも求められますすごいことだと思いませんか ？
Question: And I really hope that I'll be able to show you soo... | そして今ではガンマ線を利用したほかの技術と比べて照射量は５分の１となっています
| 7 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
-0.18529415130615234,
-0.10111235082149506,
0.3148030638694763,
-0.5379261374473572,
0.1200670599937439,
-1.2267303466796875,
0.5038878321647644,
0.05337388068437576,
0.10407242923974991,
-1.0239932537078857,
-0.6656713485717773,
0.11117775738239288,
-0.20079305768013,
0.6555216312408447,
... |
Detailed Instructions: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in ... | [49, 19, -69629, 0, 45, -40145, -1845, 49, 1, 37] | 8 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.10905421525239944,
0.11540800333023071,
-0.8731117248535156,
-0.5005399584770203,
-0.17681916058063507,
0.11436191201210022,
1.460465908050537,
0.0668012872338295,
-0.22192731499671936,
-0.29852089285850525,
-1.1461538076400757,
-0.4141971170902252,
-0.4071536064147949,
-0.3940079808235... |
Q: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
The whole idea of a Spongebob Ginger Bread Pineapple is really great, but the sticker that says "Use By" Has a 10 JN 16 date ... | True | 7 | NIv2 | task587_amazonfood_polarity_correction_classification | zs_opt | [
-1.0578519105911255,
-0.3936438262462616,
0.28643229603767395,
-0.3549118638038635,
-0.008948388509452343,
-1.8072088956832886,
0.3394067883491516,
0.005014277063310146,
-0.39043742418289185,
0.1631079763174057,
0.25349152088165283,
0.34136760234832764,
-0.7041726112365723,
-0.491994440555... |
You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
Sentence: Shelia loves her new trampoline because it's so much more bouncy than her old one. Question: Which trampoline wo... | The carpet
| 0 | NIv2 | task1378_quarel_correct_answer_generation | fs_opt | [
0.6319054961204529,
0.9317836165428162,
-0.8560851812362671,
-0.17582383751869202,
0.10770906507968903,
-0.6056087017059326,
0.2523265480995178,
1.1165382862091064,
0.34431445598602295,
0.583940863609314,
-0.27928096055984497,
0.39383772015571594,
-0.1790873259305954,
-0.5068530440330505,
... |
A text is given in Hindi. Translate it from the Hindi language to the Tamil language. The translation must not omit or add information to the original sentence.
[EX Q]: यह भी खुशी की बात है कि दोनों ओर से टूरिज्म में बढ़ोतरी हो रही है।
[EX A]: இரு தரப்பிலும் சுற்றுலா அதிகரித்து வருவதும் மிகுந்த மகிழ்ச்சி தருகிறது.
[E... | இந்தியத் தொல்லியல் துறை தலைமையகம்: புது தில்லியில் திறந்து வைத்தார் பிரதமர்
| 6 | NIv2 | task993_pib_translation_hindi_tamil | fs_opt | [
-0.2420690655708313,
-0.079781174659729,
-0.46084898710250854,
0.05902697890996933,
-0.23914015293121338,
-0.7221118211746216,
0.15428054332733154,
0.36694496870040894,
0.19453388452529907,
0.08386602997779846,
-0.11759312450885773,
0.2378687560558319,
-0.405029833316803,
0.211807817220687... |
You are given a statement written in Panjabi. 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 .
Let me give you an example: Statement: ਅਮੀਯਾਹ ਸਕੌਟ ਅਸਲ ਵਿੱਚ 11 ਜਨਵਰੀ 1988 ਨੂੰ <MASK> ਸ਼ਹਿਰ ਵਿੱਚ ਇੱਕ ਵੱਖਰੇ ਨਾਮ ਨਾਲ... | ਭਾਰਤ | 8 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.30847418308258057,
0.5167236328125,
0.25709471106529236,
-0.21286466717720032,
-0.5988600254058838,
-0.8991257548332214,
0.35819011926651,
0.39624276757240295,
0.19215241074562073,
0.05807133764028549,
-0.3387739658355713,
0.6039111614227295,
-0.7131534218788147,
-0.33862799406051636,
... |
Given a sentence in Vietnamese, generate a new Vietnamese 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 o... | Bạn sẽ tính toán số bởi vì bạn muốn đếm số tiền.
| 0 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | fs_opt | [
-0.5387356281280518,
0.5393893122673035,
-0.14517882466316223,
0.1151648759841919,
-0.40892380475997925,
-0.9068673849105835,
0.6594417095184326,
1.313047170639038,
-0.3940052390098572,
-0.27268320322036743,
-0.5223485231399536,
0.20119869709014893,
-1.0966181755065918,
-0.1518228948116302... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns wheth... | for the original release records of all rows , most of them fuzzily match to 196 . | 4 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.04573330283164978,
-0.0720696970820427,
-0.3078954517841339,
0.013558783568441868,
-0.04292746260762215,
-0.2619941234588623,
0.5365653038024902,
0.3735061287879944,
0.22423842549324036,
-0.21692532300949097,
-0.661108136177063,
-0.2495080530643463,
0.017453216016292572,
0.67485123872756... |
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 child plays a video game. | 8 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.1815120279788971,
0.8173933029174805,
-0.26929014921188354,
-0.6595038175582886,
-0.4012705385684967,
-0.022036246955394745,
0.14010223746299744,
0.3578808903694153,
0.8787294030189514,
-0.6057671308517456,
-0.40228480100631714,
-0.3188209533691406,
-0.3681832551956177,
0.17625886201858... |
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.
Q: Mix and spoon over peaches. Bake at 350° for 25 minutes.
A: | peaches, sugar, cinnamon, butter, sugar, egg, flour | 4 | NIv2 | task571_recipe_nlg_ner_generation | zs_opt | [
0.14171691238880157,
0.09469243884086609,
-0.21079881489276886,
0.43681490421295166,
-0.9589413404464722,
-0.22372105717658997,
1.0836284160614014,
-0.15148019790649414,
-0.31857040524482727,
0.24902546405792236,
-0.4920716881752014,
0.11735385656356812,
-0.5271638035774231,
-0.52351409196... |
In this task, we ask you to write an answer to a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Note that a lot of the questions... | everyday. | 3 | NIv2 | task016_mctaco_answer_generation_frequency | fs_opt | [
-0.16149666905403137,
0.8641348481178284,
-0.9865865707397461,
0.18889161944389343,
-0.5845353603363037,
-0.539195716381073,
0.9952521920204163,
0.45706185698509216,
-0.3964117765426636,
0.020648449659347534,
-0.6898963451385498,
0.6883478760719299,
-0.8050086498260498,
0.4602706730365753,... |
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 | 6 | NIv2 | task1210_atomic_classification_madeupof | fs_opt | [
0.44264155626296997,
0.4463575780391693,
0.19300061464309692,
-0.1248326450586319,
-0.64286208152771,
-0.8070598244667053,
1.1702537536621094,
0.885979175567627,
-0.519340991973877,
-0.44067898392677307,
-0.7038654088973999,
-0.11693962663412094,
-0.7285062670707703,
0.056041207164525986,
... |
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