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 |
|---|---|---|---|---|---|---|
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Example Input: ... | cross-pollination
| 3 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
0.021888528019189835,
1.030351161956787,
0.1620575487613678,
-0.5101562142372131,
-0.2580540180206299,
-0.7324702739715576,
0.8590906858444214,
0.6016128659248352,
-0.07978048920631409,
-0.5625900626182556,
-1.1084990501403809,
-0.588402271270752,
-0.9024158716201782,
0.47852063179016113,
... |
instruction:
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
question:
[-470, 770, -536, 932, -924, 923, 431, 86, -902, -895]
answer:
[-470, 770, -540, 930, -920, 920, 430, 90, -900, -900]
... | [440, 270, 160]
| 9 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.9084154367446899,
0.7089451551437378,
-0.3037106990814209,
-0.2203337848186493,
-0.5123587846755981,
-0.52379310131073,
0.6537065505981445,
-0.10504180938005447,
-0.21633106470108032,
0.2690170109272003,
-0.5473889708518982,
0.154811292886734,
-0.5740737318992615,
0.3978886008262634,
... |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Q: ['5047', 'f', '2365', 's']
A: | 7412 | 9 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
0.2473255693912506,
1.1602140665054321,
-0.43517667055130005,
-0.9671612977981567,
-0.20062987506389618,
-0.482490599155426,
0.5134488344192505,
-0.3869699239730835,
0.2194729596376419,
0.8414590358734131,
-0.41376566886901855,
0.7056525945663452,
-0.38299715518951416,
-0.1934851109981537,... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
[Q]: The device plays Internet radio streams and comes with a 30-day trial of RealNetworks' Rhapsody music service.
[A]: Dispozitivul redă fluxuri radio de pe Internet și e livrat c... | Atac sinucigaș ucide opt persoane în Bagdad
| 5 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.6455950736999512,
0.8097237348556519,
0.30919837951660156,
-0.20788176357746124,
-0.6386899948120117,
0.02198108844459057,
1.2228593826293945,
1.020007610321045,
0.32972973585128784,
0.4400242567062378,
0.14718085527420044,
-0.1650066375732422,
-0.18282237648963928,
-0.6673150062561035,... |
Given the task definition, example input & output, solve the new input case.
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Example: Category: construction
Words: excavator, cran... | ethical | 1 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
0.014064870774745941,
0.7481900453567505,
-0.09417863935232162,
0.2736676037311554,
0.27357053756713867,
0.18245929479599,
0.07271143794059753,
0.14726316928863525,
-0.0965069979429245,
-0.3715158700942993,
-0.37269777059555054,
-0.09394412487745285,
-0.36212408542633057,
-0.03195951133966... |
Detailed Instructions: In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
Problem:Question: If Jim starts exercising his mus... | Exercising muscles increases their size, and bigger muscles have greater strength. | 8 | NIv2 | task223_quartz_explanation_generation | zs_opt | [
0.06826692819595337,
0.891394853591919,
-0.4401053786277771,
-0.5982652306556702,
-0.29904425144195557,
-0.45200833678245544,
1.1133792400360107,
0.7760007381439209,
0.3746086359024048,
-0.7610584497451782,
-0.8647750616073608,
0.253706693649292,
-1.239844799041748,
-0.03316782787442207,
... |
Detailed Instructions: You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
Q: super ! cette trilogie est juste de mieux en mieux en espérant une suite !! personnages très attachant
A: | 1 | 9 | NIv2 | task1591_allocine_classification | zs_opt | [
-0.5303479433059692,
0.418570876121521,
-0.6961076259613037,
-0.5490126609802246,
0.031660836189985275,
-0.7339433431625366,
0.9840306043624878,
-0.13845416903495789,
-0.0459049716591835,
0.029820209369063377,
-0.5734232664108276,
-0.18961048126220703,
0.19578082859516144,
-0.5918291807174... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statemen... | B | 1 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | fs_opt | [
-0.20543257892131805,
0.3113926351070404,
-0.5656863451004028,
-0.18259920179843903,
0.5698692202568054,
-0.3292303681373596,
0.3532869219779968,
0.5394404530525208,
-0.08178327977657318,
0.6544572114944458,
-0.36583709716796875,
0.22248467803001404,
0.28182893991470337,
-0.398439615964889... |
Part 1. Definition
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | If you want to wash your clothes then you should transfer some washing wet . | 7 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
-0.02998870424926281,
0.35238373279571533,
-0.19772082567214966,
-0.1798858344554901,
-0.11596345901489258,
-0.7119237184524536,
0.3272084891796112,
0.6035753488540649,
0.28520524501800537,
-0.6653496026992798,
-0.8841552734375,
-0.5671218037605286,
-1.1801189184188843,
-0.0046677077189087... |
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning ty... | How many field goals did Vanderjagt get? | 4 | NIv2 | task026_drop_question_generation | zs_opt | [
0.8587266206741333,
0.495192289352417,
-0.49398472905158997,
0.05468834191560745,
0.29225999116897583,
-0.06936700642108917,
0.4121004343032837,
0.11394308507442474,
-0.40718913078308105,
0.054275088012218475,
-0.4984140396118164,
0.38459134101867676,
-0.7966383695602417,
0.125860646367073... |
Teacher:A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: આપ સૌના આશીર્વાદ વડે તમારો આ પ્રધાન સેવક અરૂણાચલ સહિત આ સમગ્ર ક્ષેત્રને વિકાસનો ભાગ ... | आपल्या सर्वांच्या आशिर्वादाने, देशाचा हा मुख्य सेवक अरुणाचलसह संपूर्ण क्षेत्राचा विकास घडवून आणण्याचे काम करीत आहेत. | 6 | NIv2 | task983_pib_translation_gujarati_marathi | zs_opt | [
-0.15660247206687927,
0.688681423664093,
0.4277651607990265,
-0.9710855484008789,
-0.03634731471538544,
-0.9323874115943909,
0.3380695879459381,
0.2033393234014511,
-0.022249341011047363,
-0.7653969526290894,
-0.23394718766212463,
-0.42385515570640564,
-0.47735947370529175,
-0.021997999399... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Cały czas robił tak.
Output: | He kept going like this to me. | 1 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.738836944103241,
1.515619158744812,
0.20113569498062134,
-0.029815342277288437,
-0.13295488059520721,
-0.7250445485115051,
1.1313449144363403,
-0.15408554673194885,
0.46639204025268555,
0.2902515232563019,
0.1502542793750763,
0.3866416811943054,
-0.6250730752944946,
0.300304114818573,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Input: Consider Input: Vexo un montón de nenos. están subindo e baixando escaleiras.
Output: Veo a muchos de los niños. Están subiendo y bajando escaleras.
Input: Consider Input: Non sempre funciona, pero non poden cu... | Output: Pero el consumo total de energía aumentará a 22 unidades.
| 2 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-1.045361042022705,
1.0381373167037964,
-0.4457854628562927,
-0.640388548374176,
-0.4946214556694031,
-0.8025481700897217,
0.2188624143600464,
0.9371423721313477,
-0.023170754313468933,
-0.5665160417556763,
-0.2756303548812866,
0.16387665271759033,
-0.6302441358566284,
0.06378839164972305,... |
Q: Indicate the presence of numerical data in the abstract (whether numerical data plays a key role in medical records), solely using the information from the abstract.
Abstract: A case of a cavernous angioma of the cauda equina is presented. The patient was a 28-year-old man who experienced sudden low-back pain and he... | Yes | 7 | NIv2 | task621_ohsumed_yes_no_numerical_answer_generation | zs_opt | [
-0.6979808211326599,
-0.025944646447896957,
-0.5548653602600098,
-0.22028779983520508,
-0.03269793465733528,
-0.648527979850769,
0.45343780517578125,
0.6031831502914429,
0.45029565691947937,
0.31192439794540405,
0.37293386459350586,
0.5862042903900146,
-0.6820308566093445,
0.54534554481506... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
W rzeczywistości, urbanizacja to także przemieszczanie się zwierząt, dawniej nazywanych dzikimi, bliżej centrów miejskich.
| Di fatto, la migrazione urbana descrive oggi il movimento degli animali, una volta conosciuti come selvatici, verso i centri urbani. | 5 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-1.2302296161651611,
1.1171133518218994,
-0.022071469575166702,
0.2087685465812683,
-0.6279298663139343,
-0.08480337262153625,
0.06786388158798218,
0.31571853160858154,
-0.14848044514656067,
-0.8191132545471191,
-0.6600767374038696,
0.9094840884208679,
-0.7039670944213867,
0.19493430852890... |
Detailed Instructions: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in t... | sad | 8 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
-0.13310350477695465,
0.22792983055114746,
0.2676053047180176,
-0.5866529941558838,
0.27340444922447205,
-0.4605405330657959,
0.8072463870048523,
0.4219956696033478,
0.17077721655368805,
0.010585460811853409,
0.23066961765289307,
0.3112304210662842,
-0.18115925788879395,
-0.033481292426586... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
El primer caso del mundo en desarrollo de cobertura médica para trabajadores urbanos pobres.
بالطبع أن نرفع العالم الناشئ أولاً لدرجة العمل في المناطق الحضرية الفقيرة.
En uno de mis primeros viajes a la India, conocí a est... | ولاحقا. قرأت هذة المقولة: "الاعلان هو الثمن الذي تدفعة الشركات لتكون غير حقيقية"
| 0 | NIv2 | task1228_ted_translation_es_ar | fs_opt | [
-1.187856674194336,
0.6286299228668213,
0.7008290886878967,
0.051783397793769836,
-0.5711669325828552,
0.8852830529212952,
0.40918511152267456,
1.0676305294036865,
0.4749484956264496,
-0.21184289455413818,
-0.6558868885040283,
0.14628495275974274,
-0.699111819267273,
0.07899096608161926,
... |
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
One example is below.
Q: What are arteries, ve... | periodic table | 9 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
0.5525983572006226,
0.8397606611251831,
-0.6692643165588379,
0.46304187178611755,
-0.12332089245319366,
-1.0714892148971558,
0.18011914193630219,
0.6571229100227356,
-0.29044103622436523,
-0.13239043951034546,
0.134505033493042,
-0.6488349437713623,
-0.8920842409133911,
-0.1335683614015579... |
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.
Q: PersonX walks PersonY's dogs
A: to get exercise
****
Q: Perso... | to give away a secret
****
| 4 | NIv2 | task1596_event2mind_text_generation_2 | fs_opt | [
-0.45692044496536255,
0.6046321392059326,
-0.13955754041671753,
-0.07101598381996155,
-0.6529114246368408,
-0.8366536498069763,
0.5483276844024658,
0.13637296855449677,
0.15557292103767395,
-0.6982910633087158,
-0.1429665982723236,
0.48044267296791077,
-0.5980780124664307,
0.10334984958171... |
You will be given a definition of a task first, then some input of the task.
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 numerical elements in the given list in order. Assume the position of the 1st element ... | 1, 3, 4 | 1 | NIv2 | task507_position_of_all_numerical_elements_in_list | zs_opt | [
-0.052788037806749344,
0.4657246172428131,
-0.13727757334709167,
-0.49892809987068176,
0.3600931763648987,
0.26377856731414795,
0.9110850095748901,
0.04896317422389984,
-0.11320561170578003,
0.09115713834762573,
-0.650310218334198,
-0.01587390899658203,
0.2345047891139984,
0.11178189516067... |
instruction:
In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entit... | None
| 9 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | fs_opt | [
0.11619294434785843,
0.41156819462776184,
-0.03407246246933937,
0.22646474838256836,
-0.4795576333999634,
-0.528243362903595,
0.6197949647903442,
0.11148959398269653,
0.42046016454696655,
-0.7861664295196533,
-0.40024080872535706,
0.6874507665634155,
0.31758636236190796,
0.1900901794433593... |
Detailed Instructions: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive sta... | No | 4 | NIv2 | task607_sbic_intentional_offense_binary_classification | fs_opt | [
-0.2884277403354645,
0.619504451751709,
0.41026559472084045,
0.2134503275156021,
0.25413942337036133,
-0.2937764525413513,
0.4853948950767517,
0.9808623790740967,
0.02086029201745987,
0.5499495267868042,
0.43499481678009033,
-0.15274569392204285,
-0.6974270939826965,
-0.16566027700901031,
... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
في العام الماضي ، أوصلنى "" كيجين هسياو "" من ورشة عمل "" ويلو "" ب "" تشاد جينكينز ""
A: | پارسال ، "" کایجِن سیئو "" از شرکت ویلو گاراژ از طریق چَد جِنکینز با من ارتباط برقرار کرد. | 7 | NIv2 | task1108_ted_translation_ar_fa | zs_opt | [
-0.48796284198760986,
0.5800486207008362,
-0.22221639752388,
-0.08440201729536057,
-0.2456752061843872,
-0.7664650678634644,
0.19171342253684998,
-0.3861123323440552,
0.4091796576976776,
0.16378329694271088,
-0.43088388442993164,
-0.44904547929763794,
0.1881294548511505,
0.4156231582164764... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video... | apparel | 1 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
-0.18392640352249146,
0.004823930561542511,
-0.6484367251396179,
0.7435743808746338,
0.514466404914856,
0.33197277784347534,
0.3812810778617859,
0.9398539066314697,
-0.29163384437561035,
0.4177558124065399,
0.46329057216644287,
0.5380297899246216,
-0.09894397854804993,
-0.4751153588294983,... |
Detailed Instructions: In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Q: Plasma beta - thromboglobulin ( beta - TG ) , a platelet - specific protein , is a marker of intravascular platele... | beta - TG | 9 | NIv2 | task1481_gene_extraction_bc2gm_dataset | zs_opt | [
0.0035226643085479736,
0.20436319708824158,
-0.8852013945579529,
0.539415717124939,
0.2507210969924927,
-1.0690200328826904,
0.41071680188179016,
0.47885847091674805,
0.4152049720287323,
-0.2626695930957794,
-1.052795648574829,
0.2529699206352234,
0.6100055575370789,
0.047089576721191406,
... |
TASK DEFINITION: In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it'... | False
| 8 | NIv2 | task1187_politifact_classification | fs_opt | [
0.233394593000412,
0.7256535291671753,
-0.43134430050849915,
-0.13254252076148987,
-0.45042410492897034,
-0.41808581352233887,
0.7717002034187317,
0.267935186624527,
0.47344762086868286,
-0.1177840530872345,
0.13411231338977814,
0.13897372782230377,
0.1561926305294037,
-0.23064559698104858... |
Given the task definition and input, reply with output. In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the co... | Talkeetna, Alaska | 5 | NIv2 | task669_ambigqa_answer_generation | zs_opt | [
-0.9656149744987488,
0.823035717010498,
-0.02095060423016548,
0.3640948534011841,
-0.3111688494682312,
-0.30251502990722656,
0.25744369626045227,
0.030385978519916534,
-0.11117641627788544,
-0.18552590906620026,
-0.5852690935134888,
0.6727959513664246,
-0.30265888571739197,
-0.096669599413... |
Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of... | No | 9 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
0.21026605367660522,
-0.10875258594751358,
0.5275918245315552,
-0.45517638325691223,
-0.37193042039871216,
-0.9813562631607056,
0.9148300290107727,
0.595702052116394,
-0.6537746787071228,
-0.4247813820838928,
0.08979146182537079,
-0.0749737098813057,
-0.7734561562538147,
0.0341254398226738... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answ... | Answer: none | 1 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
0.29622384905815125,
0.33130770921707153,
-1.2423362731933594,
0.3108745217323303,
0.08362779021263123,
-0.5709213614463806,
0.9947935342788696,
0.7909570336341858,
0.11933384835720062,
0.3727133572101593,
-0.5982986688613892,
0.028315063565969467,
0.15843522548675537,
-0.3013433814048767,... |
In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the nu... | 2, She decided to visit the mountain cabin. | 3 | NIv2 | task299_storycloze_sentence_generation | fs_opt | [
-0.1016647219657898,
0.36860963702201843,
-0.39854201674461365,
-0.20952343940734863,
-0.006353204138576984,
-0.9260544776916504,
0.3620435893535614,
0.9069663882255554,
0.24889135360717773,
0.3745204210281372,
-0.4063437879085541,
-0.3342605233192444,
-0.7985684275627136,
-0.0138190481811... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
| 5 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
0.4790620505809784,
0.18565592169761658,
0.24971984326839447,
0.15270830690860748,
-0.3708944320678711,
-0.9312810897827148,
0.7086576223373413,
0.4300883412361145,
-0.635419487953186,
-0.2774474620819092,
-0.45078185200691223,
-0.18677055835723877,
-0.546830415725708,
0.03997857868671417,... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | 8 | NIv2 | task1212_atomic_classification_hasproperty | zs_opt | [
0.2607516050338745,
0.13475632667541504,
0.14415951073169708,
0.13977639377117157,
-0.23113098740577698,
-0.9224691390991211,
0.8671509623527527,
0.7905184030532837,
-0.40661686658859253,
0.2315380573272705,
-0.5323251485824585,
-0.36869215965270996,
-0.5192960500717163,
-0.358802676200866... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
One example is below.
Q: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
A: Pero comenzamos con la idea de un niño por vez.
Rationale: The Hebrew sentence is correctly translated into Spanish, because the meaning is preserved... | Me encantó. Pensé que había algo realmente hermoso en eso. | 9 | NIv2 | task1236_ted_translation_he_es | fs_opt | [
-0.4883137345314026,
0.6933731436729431,
0.32210808992385864,
-0.12843386828899384,
-0.7119542360305786,
-0.2593322694301605,
1.0907096862792969,
0.6051361560821533,
0.9945546388626099,
-0.6965323686599731,
-0.10127869248390198,
0.3765929043292999,
-1.0013105869293213,
0.17254185676574707,... |
instruction:
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.
question:
5, ['3591', '2035', '2323', 'b', 'w', 'x', 'r', '2049', '5755', 'Q', '4413', '579', 'm', 'Q', '9679', '7515', 'y', 'q', 'K', 'H', 'y', '415', '3... | l, v, f, 4657, 7743, C, L, e, e, D, 9277, b, 3675, P, 1711, 4669, 3311, Q, 8851, m, L, 8599, 1241, 5063, T, 6859, 9275, 9801, d, 6147, 8671, Z, j, 859, 7991, L, 5253, 975, e, h, q, 3665, 1749, 7949, F, 8879, 4863, O, l
| 9 | NIv2 | task1542_every_ith_element_from_starting | fs_opt | [
0.3189379572868347,
-0.07926639169454575,
-0.4154321253299713,
-0.40157991647720337,
-0.4642786681652069,
-0.271439790725708,
0.2896476089954376,
0.46108418703079224,
-0.2840311825275421,
-0.07515580207109451,
-0.5125266313552856,
0.22911548614501953,
-0.30050235986709595,
0.60834211111068... |
TASK 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.
PROBLEM: Rural Housing Opportunity and Enhancement Act of 2005 - Amends the Doug Bereuter... | Offshore Fairness Act
| 8 | NIv2 | task1659_title_generation | fs_opt | [
0.3257993161678314,
-0.02063596248626709,
-0.2017902135848999,
-0.07640814036130905,
0.589028000831604,
0.07489833235740662,
1.4926834106445312,
1.2893205881118774,
-0.7189721465110779,
0.029265349730849266,
-0.1535610556602478,
0.5090652108192444,
-0.4353095591068268,
0.18253538012504578,... |
Instructions: In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally a... | No | 3 | NIv2 | task632_dbpedia_14_classification | zs_opt | [
-0.08360433578491211,
0.5901786088943481,
-0.44822949171066284,
0.19465899467468262,
-0.3044397830963135,
-0.7821453213691711,
0.9388669729232788,
1.000474214553833,
0.02930302545428276,
0.16889825463294983,
0.2811070680618286,
-0.2861440181732178,
-0.2458038628101349,
-0.3646983802318573,... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Example Input: Achégate a min porque non te podo ver.
Example Output: לכה אלי, כיוון שאני לא רואה אותך.
Example Input: E terán unha familia de dous fillos sen unha interrupción do crecemento poboacional.
Example Output: ... | אז, הנה הוא, הרועה הזה, מנוסה בשימוש בכלי הנשק העוצמתי הז, מול הענק המתנשא הנושא 50 ק "" ג של שריון וכלי נשק כבדים נוספים אשר שימושיים רק בקרב פנים אל פנים.
| 3 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.28130513429641724,
0.9651268720626831,
0.12391461431980133,
-0.40837526321411133,
-0.6880371570587158,
-0.4040336608886719,
0.7426748871803284,
0.6831675171852112,
0.15256808698177338,
-0.3287811577320099,
-0.797679603099823,
0.5079364776611328,
-1.0760242938995361,
-0.1757972091436386,... |
Q: 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 t... | no | 7 | NIv2 | task361_spolin_yesand_prompt_response_classification | zs_opt | [
0.523338258266449,
0.13635790348052979,
0.027948196977376938,
0.39252451062202454,
-0.0018762564286589622,
-0.5396547317504883,
0.40403270721435547,
0.681479811668396,
0.7218687534332275,
-0.24035117030143738,
-0.28389719128608704,
0.022397782653570175,
-0.9046564102172852,
0.5406767725944... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output s... | Bí kò bá sí oníṣẹ́ iṣẹ́ ò leè lọ; bí kò bá sí ọlọ́wẹ̀ a kì í ṣọ̀wẹ̀; àkẹ̀yìnsí ọlọ́wẹ̀ là ń ṣípá. | 5 | NIv2 | task1619_menyo20k-mt_en_yo_translation | zs_opt | [
-0.49825724959373474,
0.48004841804504395,
0.05409036576747894,
-0.04007326439023018,
0.20082199573516846,
0.32910770177841187,
0.4376864433288574,
0.5039033889770508,
0.35326087474823,
-0.3846140503883362,
-0.12032487988471985,
0.23132513463497162,
-0.8754517436027527,
0.2778666615486145,... |
Given the task definition, example input & output, solve the new input case.
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations... | 250 | 1 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.47983649373054504,
0.4857063293457031,
-0.2109585851430893,
-0.24581755697727203,
0.5758165121078491,
-0.3193407654762268,
0.38118618726730347,
0.7388676404953003,
0.11114877462387085,
-0.6149003505706787,
-0.6114698648452759,
0.05174216628074646,
-0.20064297318458557,
0.077369719743728... |
In this task, you need to count the number of words in a sentence that contain the given letter
Sentence: 'there is a person awaiting to cross this street'. How many words contain the letter 'a' in the sentence.
2
Sentence: 'the noodle salad has many spices in it'. How many words contain the letter 'v' in the sentenc... | 2
| 0 | NIv2 | task161_count_words_containing_letter | fs_opt | [
-0.0616515651345253,
-0.3012111485004425,
-0.600440502166748,
-0.7079007029533386,
0.23119714856147766,
0.19656884670257568,
0.753504753112793,
0.19403250515460968,
0.8784596920013428,
-1.0965750217437744,
-0.38769322633743286,
-0.3288533091545105,
-0.35525649785995483,
0.12938910722732544... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to... | I pick the ball up >Causes/Enables> I play catch with my friend | 3 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
0.10339634120464325,
0.4740903973579407,
0.13371641933918,
-0.1455032229423523,
-0.5138819813728333,
-1.2760334014892578,
0.16949310898780823,
1.0375953912734985,
-0.12328210473060608,
-0.2517189681529999,
-0.6900962591171265,
-0.2613060772418976,
-0.3152068257331848,
-0.3655300736427307,
... |
Teacher:In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Teacher: Now, understand the problem? Solve this instance: In this Force 8 wind, she is still carrying her #2 cruising jib and mizzen, about 40 p... | Kula mandla 8 womaya, usekwathwele 1 # 2 cruising jib nemasti engasimva, mayela nepesenti eziyi 40 yohlobo oluqhelekileyo. | 6 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt | [
-0.4753290116786957,
0.294516921043396,
-0.14549463987350464,
-0.6234937310218811,
-0.16712519526481628,
-0.31613266468048096,
0.31585246324539185,
0.896293044090271,
-0.12457682192325592,
-0.4205630421638489,
-0.3439788818359375,
-0.18350306153297424,
-0.17832757532596588,
-0.127715721726... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
[Q]: De feito teño iconas de luces que movo por aí.
[A]: I actually have icons of lights I move around in there.
[Q]: Una primeira cousa é mantérmonos afastados do teatro.
[A]: One thing is — we need to stay away from ... | So they are one cell and they have this special property that they only have one piece of DNA.
| 5 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.26256951689720154,
0.7951869368553162,
-0.26839110255241394,
-0.655745267868042,
-0.6783856153488159,
-1.7272238731384277,
0.4981822669506073,
0.1988687515258789,
-0.4313928484916687,
-0.05221482366323471,
0.12959349155426025,
0.5478433966636658,
-0.7063909769058228,
0.2674673795700073,... |
Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong) and NOBODY ... | NOBODY
| 7 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | fs_opt | [
0.3667590618133545,
-0.11402809619903564,
-0.3505634367465973,
-0.4859253764152527,
0.4895637035369873,
-0.11749450117349625,
0.9240220785140991,
0.9144200086593628,
0.03708909451961517,
-0.3906276226043701,
0.2320028692483902,
0.6480104327201843,
-0.6537855863571167,
-0.360429584980011,
... |
Detailed Instructions: This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other.... | SIMILAR | 9 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
0.056542735546827316,
0.38766032457351685,
0.04582350701093674,
-0.2584020793437958,
-0.07270306348800659,
0.09059186279773712,
0.9950273036956787,
0.7769338488578796,
0.46990159153938293,
0.3712718188762665,
-0.5374879837036133,
0.16404059529304504,
-0.3942858576774597,
0.1958602219820022... |
TASK DEFINITION: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
PROBLEM: چیز هایی که می دونیم هنوز مهمند.
SOLUTION: Wiedza jest nadal ważna.
PROBLEM: بی درنگ به انجمن نامه نوشتم و تقاضای نسخه ای برای خودم از آن پوستر کردم ، که تا امروز در دفترم آویزان است.
SOLUTION: Nat... | Religie polegają więc na powtarzaniu.
| 8 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.7502033710479736,
0.8059438467025757,
-0.20338401198387146,
0.035624466836452484,
-0.7464576959609985,
0.16220973432064056,
1.2678468227386475,
-0.4382892847061157,
-0.19662800431251526,
-0.5878917574882507,
-0.5006380081176758,
0.4001162648200989,
-0.18956615030765533,
0.97066807746887... |
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguish... | fingers. | 3 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.0965106189250946,
0.9492036700248718,
-0.46908092498779297,
0.21875372529029846,
-0.390597939491272,
-1.4400968551635742,
0.5651661157608032,
0.9108547568321228,
-0.5540058016777039,
0.35315680503845215,
-0.8967777490615845,
0.5035766363143921,
-0.6156748533248901,
0.06290776282548904,
... |
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Q: Sentence1: 'people in a cactus garden standing on a stone walkway', Sentence2: 'young school boys smiling and posing on a stone wall'. Is the frequency of the word 'stone' in two sentences equal?
A: Yes
*... | No
****
| 4 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
0.061588723212480545,
0.5624186992645264,
-0.724023163318634,
0.03176337853074074,
-0.0006816339446231723,
-0.7627665996551514,
0.14688467979431152,
0.829092800617218,
0.16044947504997253,
0.2902841567993164,
0.13187672197818756,
0.22125902771949768,
0.29335466027259827,
0.1831395030021667... |
Detailed Instructions: In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
See one example below:
Problem: Passage: Property tax -- Property tax or 'house tax' is a local tax... | 1 | 4 | NIv2 | task1661_super_glue_classification | fs_opt | [
-0.20879438519477844,
0.7837765216827393,
-0.5414305925369263,
0.41903743147850037,
0.5587804317474365,
-0.4501759707927704,
1.2698757648468018,
1.2748461961746216,
-0.11690843105316162,
0.5156442523002625,
-0.04938418045639992,
0.537366509437561,
-1.0737364292144775,
-0.2912311553955078,
... |
Part 1. Definition
Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Part 2. Example
Who influenced the fundamentalist sorry no non... | disfluent | 7 | NIv2 | task1623_disfl_qa_disfluent_question_classification | fs_opt | [
0.2102147340774536,
0.25231343507766724,
0.05127717927098274,
-0.024588612839579582,
-0.3236467242240906,
-0.4994877576828003,
1.4878993034362793,
0.050284504890441895,
-0.05057406425476074,
-0.2420155107975006,
-0.6273471713066101,
-0.39174237847328186,
-1.1346169710159302,
0.043165646493... |
In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
[-80, -24, -40, ... | 16 | 0 | NIv2 | task1445_closest_integers | zs_opt | [
-0.641454815864563,
0.6384904384613037,
-0.10318121314048767,
-0.3722178041934967,
-0.2966578006744385,
0.3678460121154785,
0.9723663926124573,
0.25818562507629395,
0.5822087526321411,
-0.1679876744747162,
-0.5234968662261963,
-0.36776864528656006,
-0.6459466814994812,
-0.12063626199960709... |
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 sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
The first two were found unreliable and ... | आनुवंशिक तौर पर संशोधित सभी फसलं को नियामक संस्थाओं से मंजूरी लेनी पड़ेती है , जिससे कई मंत्रालय जुड़ै होते हैं । | 0 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.17789331078529358,
0.18885070085525513,
0.5559037923812866,
0.012767275795340538,
0.1592189073562622,
-0.6112672090530396,
-0.01964007318019867,
0.730147123336792,
-0.06433571875095367,
-0.16584886610507965,
-1.074126958847046,
-0.31930941343307495,
-0.1408059298992157,
0.396910309791564... |
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 two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be... | neutral | 0 | NIv2 | task1554_scitail_classification | fs_opt | [
0.644241213798523,
0.4416787028312683,
-0.1031298115849495,
-0.1671755015850067,
-0.13247564435005188,
0.07301754504442215,
-0.45034560561180115,
0.5739383101463318,
0.13414432108402252,
-0.6144713163375854,
-0.5521339178085327,
-0.33975404500961304,
-0.3518214821815491,
0.1167753040790557... |
Teacher: In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Teacher: Now, understand the p... | Yes | 2 | NIv2 | task310_race_classification | fs_opt | [
0.3593820035457611,
0.07762032747268677,
-0.3090553879737854,
-0.4290131628513336,
0.2906484007835388,
-0.23585918545722961,
1.2898526191711426,
0.6429301500320435,
-0.18275398015975952,
-0.16538023948669434,
0.2708747088909149,
-0.028554992750287056,
-0.3511020541191101,
0.226439714431762... |
Detailed Instructions: 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 answer must be in the form of the numbers 0 (entailment),... | 1 | 4 | NIv2 | task1612_sick_label_classification | fs_opt | [
-0.29359757900238037,
0.6562134027481079,
0.01666244864463806,
-0.05246685817837715,
-0.1491454839706421,
-0.10295902192592621,
0.26080116629600525,
0.5271947383880615,
0.33620887994766235,
0.05800151824951172,
-0.21923810243606567,
-0.2078128308057785,
0.04975464195013046,
0.0124565921723... |
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM,... | -4 | 4 | NIv2 | task835_mathdataset_answer_generation | zs_opt | [
-0.06189931556582451,
0.13673990964889526,
0.13948693871498108,
-0.5622437000274658,
0.003325950587168336,
-0.0007639341056346893,
1.178881049156189,
0.11422298103570938,
0.03651026263833046,
-0.9421806931495667,
-0.5423994660377502,
0.5612537264823914,
-0.18007391691207886,
-0.15685042738... |
You will be given a definition of a task first, then some input of the task.
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 | zs_opt | [
-0.4256798326969147,
0.3283216953277588,
0.14203761518001556,
-0.15411505103111267,
-0.2666388750076294,
-0.040584929287433624,
1.12546706199646,
-0.1366414874792099,
0.6361966729164124,
-0.2541727125644684,
-0.6175376176834106,
0.03057996742427349,
-0.11142589151859283,
-0.147482499480247... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relev... | His computer wasn't powerful enough. | 1 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
0.023808233439922333,
0.9489667415618896,
-0.5256481170654297,
0.33760592341423035,
-0.10876712203025818,
0.27440524101257324,
0.344330370426178,
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0.2900165915489197,
-0.7008340358734131,
-0.6471955180168152,
-0.2725209891796112,
0.14737078547477722,
0.2836209535598755,... |
Teacher:In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Teacher: Now, understand the problem? Solve this instance: Context_1 : Yuli Mikhailov... | Zoya Ivanovna Voskresenskaya, was a Soviet diplomat, NKVD foreign office secret agent and, in the 1960s and 70s, a popular author of books for children, he was born in the Tula what, an administrative division of a country? | 6 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
0.5859420299530029,
0.18227380514144897,
-0.5533391237258911,
-0.44114577770233154,
0.5990880727767944,
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0.6893912553787231,
0.8530286550521851,
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0.011231847107410431,
-0.09895990043878555,
0.7662640810012817,
-0.7734993696212769,
0.6497513055801392,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using ter... | 1 | 0 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.022852227091789246,
0.3902340829372406,
-0.5114680528640747,
0.13496807217597961,
0.5630661249160767,
-0.20228128135204315,
0.7038736939430237,
1.1560211181640625,
0.12522020936012268,
0.25102323293685913,
0.1511325240135193,
0.28878068923950195,
-0.31370362639427185,
0.18185803294181824... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct ... | (C)
| 3 | NIv2 | task268_casehold_legal_answer_generation | fs_opt | [
0.4563741683959961,
0.2801436185836792,
-0.23595201969146729,
-0.029422719031572342,
0.3099655210971832,
-0.3904535174369812,
0.7035175561904907,
0.9946491718292236,
-0.7007089257240295,
-0.0718318372964859,
-0.29770368337631226,
0.01419256255030632,
-0.48271337151527405,
0.000102214282378... |
TASK DEFINITION: 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 not need to use all the knowledge from t... | Wrong
| 8 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
0.2991267442703247,
-0.1283980906009674,
-0.2806611657142639,
0.2604774534702301,
0.21459737420082092,
-0.7630766034126282,
0.31885337829589844,
0.2904425263404846,
-0.3191826641559601,
-0.41154128313064575,
-0.200770765542984,
0.261400043964386,
-0.6731381416320801,
0.262226402759552,
0... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or... | strengthener | 0 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.04056933522224426,
0.5231493711471558,
-0.059319816529750824,
0.08724632859230042,
-0.14416944980621338,
-1.0329136848449707,
0.7687172889709473,
0.9031112194061279,
0.3133673071861267,
-0.2660333216190338,
-1.5698736906051636,
-0.2463236302137375,
-0.7049566507339478,
-0.35781788825988... |
Q: In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Abstract: Certain pathogens, such as Mycobacterium tuberculosis, survive within the hostile intracellular environment of a macrophage. ... | yes | 7 | NIv2 | task1587_scifact_classification | zs_opt | [
0.07811494171619415,
0.14559224247932434,
-0.6792763471603394,
0.21526962518692017,
-0.005987193435430527,
-1.003553867340088,
0.10574433207511902,
0.20359987020492554,
0.819581151008606,
0.1915423423051834,
-0.34267961978912354,
0.3975009024143219,
-0.5348904728889465,
-0.0138733275234699... |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
He regarded the world beneath him.
Past
An ABC which he still clutched in... | Present
| 0 | NIv2 | task429_senteval_tense | fs_opt | [
-0.6160784959793091,
1.0328888893127441,
0.2746926546096802,
0.3434041142463684,
0.2216910421848297,
0.09399706870317459,
0.5439560413360596,
0.945054292678833,
0.13817618787288666,
0.3052769899368286,
-0.973918080329895,
-0.03026892989873886,
-0.6146134734153748,
-0.18105638027191162,
0... |
Teacher:Given a sentence in Chinese, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? Solve this instance: Hector Crawford是3DB经理和管理员Curteis Crawford的兄弟，也是Dorothy Crawford的兄弟。
Student: | Hector Crawford war Bruder des 3DB-Managers und Administrators Curteis Crawford und auch Bruder von Dorothy Crawford. | 6 | NIv2 | task811_pawsx_chinese_german_translation | zs_opt | [
-0.9725979566574097,
0.6017961502075195,
0.05135566368699074,
-0.8894993662834167,
-0.7786955237388611,
0.0349024198949337,
0.3409048020839691,
-0.0351979061961174,
0.7649794816970825,
-0.45906251668930054,
-0.0680622085928917,
-0.4443938136100769,
-0.29433581233024597,
-0.3773846030235290... |
Teacher:In this task, you will be given two sentences separated by "because". You should decide whether the first sentence can be the result of the second sentence. If you can see a possible cause and effect relationship, answer with "plausible", otherwise answer with "not plausible".
Teacher: Now, understand the probl... | not plausible | 6 | NIv2 | task392_inverse_causal_relationship | zs_opt | [
-0.7353447675704956,
0.4679439067840576,
0.9014164209365845,
-0.8299034833908081,
-0.2749553918838501,
0.1513870358467102,
-0.029776422306895256,
0.7232013940811157,
0.3675653338432312,
-0.050703953951597214,
-0.38538670539855957,
0.10335928201675415,
-0.25554051995277405,
-0.6178352236747... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer... | B | 1 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
0.21339744329452515,
0.5163628458976746,
-0.34803658723831177,
0.3292084336280823,
0.33776670694351196,
-0.13234591484069824,
0.31848445534706116,
0.5143277645111084,
0.176626056432724,
0.15531958639621735,
-0.46714675426483154,
-0.4955861568450928,
0.41148144006729126,
-0.4412249922752380... |
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Example Input: name a wild animal that you'd be foolish to keep as a pet.
Example Output: tiger
Example Input: name something a... | money
| 3 | NIv2 | task820_protoqa_answer_generation | fs_opt | [
-0.8982215523719788,
0.8385536670684814,
-0.2099318653345108,
-0.09517662227153778,
-0.6827999353408813,
-0.656175971031189,
0.29171890020370483,
0.22862373292446136,
-0.17637109756469727,
-0.2747451961040497,
-0.12495613843202591,
0.4746524393558502,
-0.8570306301116943,
-0.33528581261634... |
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
アシュタコフ氏は、学校にソーシャルネットワークを使った支援を行うことと、オンラインいじめに取り組むことを求めた。
Astakhov menginginkan sekolah-sekolah menawarkan bantuan lewat jejaring sosial d... | Pakistan menyalahkannya atas banyak serangan termasuk pembunuhan Benazir Bhutto pada tahun 2007, mantan Perdana Menteri Pakistan dan istri dari Presiden Asif Ali Zardari, menurut berita Bloomberg.
| 0 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.3605434000492096,
0.12090396881103516,
-0.24674555659294128,
-0.7141595482826233,
0.049468040466308594,
0.23660877346992493,
0.8547347784042358,
0.03925815969705582,
0.3303869366645813,
-0.18923750519752502,
-0.37161388993263245,
0.756582498550415,
-0.9909565448760986,
-0.02685095183551... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Input: Dobbiamo ricordarci che la sorveglianza è uno strumento.
Output: | Debemos recordar que a vixilancia é unha ferramenta. | 3 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.8281495571136475,
1.3732115030288696,
-0.5312029719352722,
-0.4242129921913147,
-0.21845360100269318,
-1.6641273498535156,
0.09891778975725174,
0.9300301671028137,
-0.5952545404434204,
0.26747655868530273,
-0.227998748421669,
-0.43401551246643066,
-0.6262154579162598,
0.5340741276741028... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must b... | Sentence 1: My friend is scared of hospitals but not clinics, because in the _ are nicer people.
Answer1: clinics.
Sentence 2: My friend is scared of hospitals but not clinics, because in the _ are meaner people.
Answer2: hospitals. | 8 | NIv2 | task029_winogrande_full_object | fs_opt | [
0.5017287731170654,
0.3493450880050659,
-0.02543368749320507,
-0.4024001359939575,
0.7627820372581482,
-0.7996810674667358,
0.4265403747558594,
1.157686471939087,
-0.6287013292312622,
-0.3512754738330841,
-0.4004337191581726,
-0.04547529295086861,
-0.5061423778533936,
-0.09294363856315613,... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | [['1', 'N', '1', 'y'], ['1', 'N', '1', '9'], ['1', 'N', 'y', '9'], ['1', '1', 'y', '9'], ['N', '1', 'y', '9']] | 4 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.26814013719558716,
0.6566014289855957,
-0.1107669547200203,
-0.07803308963775635,
0.24445661902427673,
-0.525797426700592,
0.3322772681713104,
0.2919667363166809,
0.14554092288017273,
0.2309173047542572,
-0.11136141419410706,
0.44192269444465637,
-0.541924774646759,
0.10160189867019653,... |
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Cr... | I kao što možete vidjeti ona je lijepa, mlada žena. | 4 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.30390721559524536,
0.9024322628974915,
-0.43059155344963074,
0.11308194696903229,
0.23008549213409424,
-1.0158979892730713,
0.29573243856430054,
-0.07401527464389801,
0.10397333651781082,
0.018707994371652603,
0.12401829659938812,
0.31450915336608887,
-0.5300595760345459,
0.002261453773... |
Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
[... | Eastern Idaho high school finds lead in water.
| 6 | NIv2 | task1368_healthfact_sentence_generation | fs_opt | [
0.43808645009994507,
0.5878880023956299,
-0.09800347685813904,
-0.1377112865447998,
0.7716078758239746,
-0.10017905384302139,
0.2553156018257141,
1.6009793281555176,
-0.33760866522789,
0.6046301126480103,
0.019434280693531036,
0.5711774826049805,
-0.6901513338088989,
0.17901086807250977,
... |
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
Ex Input:
@Awards... | Sad
| 1 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | fs_opt | [
-1.2441068887710571,
0.10834921151399612,
0.8790280818939209,
-0.0038722751196473837,
0.4752748906612396,
-0.7739443778991699,
0.9601134061813354,
0.3920767307281494,
0.23478344082832336,
0.6270581483840942,
-0.1206158846616745,
-0.27762338519096375,
-0.4175054430961609,
-0.124978125095367... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Example Input: Abstract: Percentile curves were calculated for hemoglobin and mean corpuscular volume in children between 0.5 and 16 year... | no
| 3 | NIv2 | task1587_scifact_classification | fs_opt | [
0.8261340856552124,
0.2553597390651703,
-0.30647891759872437,
0.29890167713165283,
0.41420218348503113,
-0.31112292408943176,
0.6518492698669434,
0.8108353018760681,
0.21323521435260773,
0.43407854437828064,
-0.6058046817779541,
0.20537838339805603,
-0.5512786507606506,
0.2627359628677368,... |
Instructions: 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 resear... | purpose | 3 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.49959397315979004,
0.4902726411819458,
0.0794924646615982,
-0.006785687059164047,
0.27347514033317566,
-0.09979928284883499,
0.17749515175819397,
0.4599314033985138,
0.6046916246414185,
0.08013308048248291,
-0.8803344964981079,
0.4563242793083191,
-0.5395231246948242,
0.3289061784744262... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Q: E tivemos a sorte de atopar que mutacións que danan un só xen chamado daf-2 dobran a esperanza de vida do vermiño..
A: | وكُنا محظوظين جداً أن وجدنا تلك المتحولات التي اتلف فيها جين واحد فقط يُسمى داف-2 ضاعف عُعمر الدودة الصغيرة. | 4 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-0.9341858625411987,
0.46580982208251953,
-0.01978207752108574,
-1.1662521362304688,
-0.5074760317802429,
-0.47271984815597534,
0.7755869626998901,
0.170087531208992,
-0.27286458015441895,
-0.18372739851474762,
-0.7682206630706787,
0.24510806798934937,
-1.303076982498169,
0.245243653655052... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
Q: Conversely, think about cigarettes: Nothing can both hook you and kill you like cigarettes.
A: | در مقابل ، به سیگار فکر کنید: هیچ چیز به اندازه سیگار نمی تواند شما را قلاب کرده و بکشد. | 4 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-0.0056009795516729355,
1.0010955333709717,
-0.29252731800079346,
-0.04549282044172287,
-0.6245818138122559,
-1.1679925918579102,
0.9075344204902649,
0.9871928095817566,
0.4581751227378845,
0.13473403453826904,
-0.06696982681751251,
0.02894287370145321,
-0.4974867105484009,
-0.200168639421... |
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 sentence in Arabic, and your task is to translate it into English.
أمي - سأعود بالحال -
Solution: Mommy will be right back.
Why? This is a good example. The above sente... | Thus, seizing resources is not primarily linked to terrorist offences, but the possessor or owner of the property bears the burden of proof to justify the legal origin of the resources. | 0 | NIv2 | task650_opus100_ar_en_translation | fs_opt | [
0.3005739748477936,
0.1843268871307373,
-0.5468244552612305,
-0.5748500823974609,
-1.1329731941223145,
0.3401249647140503,
0.6247103214263916,
1.003746747970581,
0.4902443289756775,
-0.26135939359664917,
-0.7127572298049927,
0.6643563508987427,
-0.6884375810623169,
-0.05925087258219719,
... |
Detailed Instructions: 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.
Q: System Reference: may i ask near where?
Original Referen... | 0 | 9 | NIv2 | task1186_nne_hrngo_classification | zs_opt | [
-0.6118441820144653,
1.2355971336364746,
-0.30551445484161377,
-0.3083938658237457,
-0.3135994076728821,
-0.9888661503791809,
0.8440833687782288,
0.8456658720970154,
0.012857056222856045,
0.09931348264217377,
-0.7514194846153259,
0.09864389896392822,
-0.8861144781112671,
-0.089546076953411... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | The laundry is hanging
| 7 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.4691252112388611,
0.3060007095336914,
0.08019702881574631,
-0.6219778656959534,
0.26890328526496887,
-0.397053599357605,
-0.42599713802337646,
0.6059099435806274,
-0.06962618231773376,
-0.3369957208633423,
-0.8962639570236206,
-0.9173287153244019,
0.008102450519800186,
-0.19390122592449... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: و به مقامهای عالی ارتقاء پیدا میکند.
A: and mount to lofty eminence.
****
Q: از آنجایی که زن با حوصله و شوخ طبعی بود تصمیم گرفت که برای پایان سنگ تمام بگذارد.
A: who had a good deal of humor,
****
Q: پیش از آن که ... | Before I could reply that he was my neighbor dinner was announced;
****
| 4 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.18928515911102295,
1.2825714349746704,
0.11680465936660767,
-0.3320082128047943,
-0.2950105369091034,
0.012794479727745056,
0.8992891311645508,
0.27460789680480957,
0.6663208603858948,
-0.5735225677490234,
-0.43172675371170044,
1.0038814544677734,
-0.8796310424804688,
0.5443108081817627... |
Q: 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.
Is NOBODY wrong in the post ? POST : Basically, I work retail, we were putting up new sale tags ... | no | 7 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
-0.3623082637786865,
0.17661252617835999,
0.308180570602417,
0.44904670119285583,
-0.40895649790763855,
-1.1064023971557617,
-0.14151360094547272,
0.4873955249786377,
0.3265104293823242,
0.027128752321004868,
-0.026702463626861572,
0.09957097470760345,
-0.34638041257858276,
-0.165549933910... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you shoul... | [0, 715, 31, -9269, -261, -43, 0, -33, 1311, 0, 29187, 7]
| 5 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
-0.1861637532711029,
0.0865631178021431,
-0.837509036064148,
-0.2457190454006195,
-0.061149608343839645,
-0.249421626329422,
1.2764887809753418,
0.6561702489852905,
-0.5754579901695251,
-0.07197698950767517,
-0.8927203416824341,
0.3643427789211273,
-0.6354246735572815,
-0.04718668386340141... |
Detailed Instructions: In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Q: Pr... | Neutral | 9 | NIv2 | task463_parsinlu_entailment_classification | zs_opt | [
-0.20559602975845337,
0.27527761459350586,
-0.40789857506752014,
0.08224356174468994,
-0.42046868801116943,
-0.5626325607299805,
0.8119909167289734,
0.2761632204055786,
0.6431856155395508,
-0.3279983103275299,
-1.075383186340332,
-0.18011590838432312,
0.1860417127609253,
-0.089559353888034... |
Detailed Instructions: In this task, you are given a sentence in the Japanese 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).
Problem:彼は、イージー・ライダーで監督と主役をし、カンヌ国際映画祭で受賞し、映画の脚本の共著者... | He directed and starred in Easy Rider (1969), winning an award at the Cannes Film Festival, and was nominated for an Academy Award for Best Original Screenplay as co-writer of the film's script. | 8 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.1860080361366272,
0.00849282555282116,
0.805378794670105,
-0.296901673078537,
-0.0744645819067955,
-0.15829011797904968,
0.27667728066444397,
0.03379799425601959,
-0.38237959146499634,
-0.37921303510665894,
-0.3511260747909546,
0.15309029817581177,
-0.9861336350440979,
-0.07391123473644... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
Q: These companies have very little incentive to help protect our privacy because their business models depend on us sharing everything with as many people as possible.
A: Te przedsiębiorstwa niechętnie pomagają w ochronie... | które stanowiły o zatwierdzeniu leków.
****
| 4 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-1.1009092330932617,
0.3646068871021271,
0.04307924956083298,
-0.9043571352958679,
-0.6072891354560852,
-0.8414438366889954,
1.067168951034546,
-0.12097923457622528,
0.32837480306625366,
-0.23336972296237946,
-0.02045820653438568,
0.8829758167266846,
-0.6220215559005737,
-0.600294589996337... |
Instructions: You are given a conversation between two people.'Person1:' and 'Person2:' are used to separate their respective dialogues. You have to classify if there exist more than 2 unique emotions in conversation. If there are more than 2 unique emotions present in the conversation, the output should be classified ... | 1 | 3 | NIv2 | task1535_daily_dialog_uniqueness_classification | zs_opt | [
0.5403463840484619,
-0.27822044491767883,
0.24282531440258026,
0.2964143753051758,
0.39202725887298584,
-0.6023319959640503,
-0.2822626531124115,
0.5623077750205994,
-0.1276416778564453,
-0.2020060420036316,
-0.09188437461853027,
-0.2985638380050659,
-0.3206852078437805,
-0.196414321660995... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | No | 1 | NIv2 | task1205_atomic_classification_isafter | fs_opt | [
0.026117615401744843,
0.29020196199417114,
0.15350590646266937,
0.1781180202960968,
-0.4178272783756256,
-0.6222068667411804,
1.0501419305801392,
0.35722917318344116,
-0.6751773357391357,
-0.2252013385295868,
-0.28456318378448486,
-0.8541451692581177,
-0.22664351761341095,
0.41359370946884... |
In this task you are given an anecdote, which recount a complex ethical situation. The question you are given is, has the author of the anecdote acted ethically? answer this question with "RIGHT" or "WRONG".
So I joined a club at my university and became fast, close friends with Michael, the president of the club. Our... | WRONG | 0 | NIv2 | task224_scruples_anecdotes_ethical_judgment | zs_opt | [
0.5753258466720581,
0.05785294622182846,
0.31312036514282227,
-0.6696764230728149,
0.2896801829338074,
-0.6130272150039673,
0.20910939574241638,
0.26567912101745605,
0.2513920068740845,
0.3011418879032135,
-0.11471819877624512,
0.23396553099155426,
-0.5171189904212952,
0.2012237012386322,
... |
In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
[Q]: the inner eyewall dissipated as a 23 mile -lrb- 37 km -rrb- outer eyewall became dominant , and concurrently the overall organization of the ... | boorowa is agricultural city in the austral.
| 5 | NIv2 | task934_turk_simplification | fs_opt | [
0.05405059829354286,
1.1619027853012085,
0.5066730380058289,
-0.8330790996551514,
-0.29739105701446533,
-0.8752413988113403,
-0.13793638348579407,
0.7073425054550171,
-0.07221418619155884,
-0.4216112792491913,
-0.6112595796585083,
-0.024885905906558037,
-0.536888837814331,
-0.0809443965554... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Input: Consider Input: Não tenho medo de perguntas, adoro perguntas.
Output: أنا لا أمانع الأسئلة. أنا أحب الأسئلة.
Input: Consider Input: Estão a ver, quantas vezes já vos perguntei: "" Estou a ir bem? "" "Fiz asn... | Output: فالأمر متعلق بالإحتياج... والناس الذين رأيناهم في بواكير التسعينيات ، هذا ما دعانا للرجوع والعمل من أجلهم.
| 2 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
-0.4795230031013489,
0.6570677161216736,
-0.10977151244878769,
-0.2618546783924103,
-0.8296762704849243,
-0.13283714652061462,
0.5474255084991455,
0.11941656470298767,
0.4637014865875244,
-0.1171925812959671,
-1.155207633972168,
0.4520564079284668,
-0.9920807480812073,
-0.13706794381141663... |
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 even 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 even numbers i... | [-96600, -24, 24, -76032, -616, 0, -2, 532, -108, 4, 96, -20] | 9 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
-0.10791273415088654,
0.8914419412612915,
-0.4678519368171692,
-0.3470115661621094,
-0.06587217003107071,
-0.2659686207771301,
1.1464548110961914,
0.07902474701404572,
-0.07772655040025711,
-0.20811812579631805,
-0.4308263063430786,
0.4108796715736389,
-0.8293552994728088,
0.00645700842142... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby p... | lawn and garden
| 3 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
-0.08842026442289352,
0.15270289778709412,
-0.7726296186447144,
0.4174180328845978,
-0.0989079475402832,
0.09991179406642914,
0.15363329648971558,
1.1557998657226562,
-0.436755895614624,
0.4928809106349945,
0.020432423800230026,
0.5696654319763184,
-0.6530336141586304,
-0.4397325813770294,... |
Instructions: 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.
Input: Sentence: 'two women standing near a celebratory box of some sort'. Count the number of consonants in the given sentence.
Output: | 28 | 3 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.43492287397384644,
0.9246422052383423,
-1.074209213256836,
-0.45644474029541016,
0.20366406440734863,
-0.31070852279663086,
-0.5655226111412048,
0.574526846408844,
0.41680920124053955,
-0.18191510438919067,
-0.40108343958854675,
-0.13486474752426147,
0.07595467567443848,
-0.5746223330497... |
Q: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: the population of a town is 10000 . it increases annually at the rate of 20 % p . a . what will be its population after 2... | b | 7 | NIv2 | task1419_mathqa_gain | zs_opt | [
0.10776633024215698,
1.0694730281829834,
-0.3580957055091858,
0.32286423444747925,
-0.12441490590572357,
-0.9345470666885376,
0.7754590511322021,
0.7456362247467041,
-0.5134483575820923,
0.399493932723999,
-0.8777943253517151,
0.6076383590698242,
-1.0572645664215088,
-0.3937443494796753,
... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions in the s... | 2b, 5c | 0 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
-0.11136900633573532,
0.2143661081790924,
0.359164297580719,
0.12813922762870789,
0.06988871097564697,
0.39265620708465576,
0.012582540512084961,
0.8343439102172852,
-0.4261575937271118,
0.4721963703632355,
-0.7463135719299316,
-0.52611243724823,
0.8419779539108276,
-0.42181676626205444,
... |
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