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 |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with simi... | NUM | 0 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.4086231589317322,
0.1279468536376953,
-0.2551880478858948,
0.09956150501966476,
-0.10530795156955719,
-0.3777455687522888,
0.4874500036239624,
0.5865265130996704,
-0.3697177767753601,
0.01829911395907402,
-0.6443765163421631,
0.1353543996810913,
-0.4289266765117645,
0.5290490388870239,
... |
In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
Ex Input:
انتشار از طریق امواج به چه شکلی صورت می گیرند؟ <sep> (A) مستقیم (B) پیوسته (C) مورب (D) منقطع
Ex Output:
D
Ex Input:
متضاد کلما... | A
| 1 | NIv2 | task473_parsinlu_mc_classification | fs_opt | [
-1.163463830947876,
0.380260169506073,
-0.5420809984207153,
0.09957535564899445,
-0.19294461607933044,
0.03152073174715042,
0.8736420273780823,
0.1673654019832611,
0.6511550545692444,
0.09106102585792542,
-0.5669875144958496,
0.0651756078004837,
-0.24879086017608643,
0.01485246978700161,
... |
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 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".
I have... | False | 0 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
-0.4216781258583069,
-0.3473161458969116,
0.07635538280010223,
0.30456113815307617,
0.038440413773059845,
-0.15311168134212494,
0.8578246235847473,
0.4853940010070801,
0.00018189707770943642,
-0.2526293396949768,
-0.17906224727630615,
-0.21517515182495117,
-0.26463985443115234,
-0.22566504... |
TASK DEFINITION: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
PROBLEM: The annotation process was a trial-and-error, with cycles composed of annotation, discussing confusing entities, updating the annot... | Wall Street Journal (WSJ) portion of the Penn Treebank
| 8 | NIv2 | task460_qasper_answer_generation | fs_opt | [
-0.472929984331131,
0.12313760071992874,
-0.061407338827848434,
0.1955646276473999,
-0.43108534812927246,
-0.4397851824760437,
1.1383819580078125,
0.5678647756576538,
0.42324432730674744,
0.22182081639766693,
-0.46434682607650757,
-0.4719153046607971,
-0.2274121642112732,
0.315673232078552... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
全て肋骨の間から行うのです
Solution: Wszystko jest robione pomiędzy żebrami.
Why? The Japanese sentence is correc... | Drugą rzeczą jaką musimy zrobić to spojrzeć wstecz jak daleko zaszliśmy w tak krótkim czasie. | 0 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
-0.09906443953514099,
0.8582698106765747,
0.04149394482374191,
0.1648411601781845,
-0.30313801765441895,
0.4041513502597809,
1.22744882106781,
-0.19833438098430634,
-0.35511404275894165,
-0.6601729393005371,
-0.05623539537191391,
0.455745667219162,
-0.8301059007644653,
0.9078346490859985,
... |
In this task, you are given a movie review in Persian, and you have to extract aspects of the movie mentioned in the text. We define aspects as music(موسیقی), directing(کارگردانی), screenplay/story(داستان), acting/performance(بازی), cinematography(فیلمبرداری), and scene(صحنه). Although there might be multiple aspects i... | کارگردانی | 9 | NIv2 | task528_parsinlu_movie_aspect_detection | fs_opt | [
-0.6393316984176636,
0.8625474572181702,
-0.5226550102233887,
0.033720314502716064,
-0.7449864149093628,
0.6371321678161621,
1.18693208694458,
0.8566871881484985,
0.43280452489852905,
0.18145760893821716,
-0.4008669853210449,
-0.20540717244148254,
-0.2625502645969391,
0.37121668457984924,
... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Input: Consider Input: Cleaning houses for a living suited Ryan but not Samuel because _ had no home maintenance experience. (A) Ryan (B) Samuel
Output:... | Output: A
| 2 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.5353575348854065,
1.0927609205245972,
0.07808539271354675,
-0.6006906032562256,
0.0014391227159649134,
-0.47363418340682983,
0.5900572538375854,
0.8602358102798462,
-0.4602530598640442,
0.41290438175201416,
-0.046287741512060165,
0.6092996001243591,
-0.12419040501117706,
-0.5671129226684... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Example: Amsterdam_Airport_Schiphol | runwayName | "09/27 'Buitenveldertb... | Solution: Ice cream Bionico are types of dessert. Enrique Pena Nieto is a leader in Mexico where they eat Bionico. | 5 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-1.1384356021881104,
0.36055392026901245,
-0.08075027912855148,
-1.008005142211914,
-0.8390335440635681,
0.49546822905540466,
1.006089687347412,
0.2558561861515045,
-0.26493310928344727,
-0.11482924968004227,
-0.5170859098434448,
1.0245282649993896,
-0.5038439631462097,
-0.1529147624969482... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
partono dal 1990 e misurano fino al 2009.
| اونها از 1990 شروع ، (و) تا 2009 اندازه گیری می کنند. | 5 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-0.9618223905563354,
1.4627304077148438,
0.10613365471363068,
-0.06358437240123749,
-0.730250358581543,
0.25601011514663696,
0.06936907768249512,
0.4562157392501831,
0.19045521318912506,
0.2571851313114166,
-0.4296502470970154,
1.0516564846038818,
-0.8424538969993591,
0.41751477122306824,
... |
Detailed Instructions: 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.
Q: Context_1 : "Come On Down" is a 2001 single recorded by Crystal Wat... | The song Not About Angels is a theme song for which film based on a novel by John Green? | 9 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
0.3932575583457947,
0.21725349128246307,
-0.7957260608673096,
-0.0821380615234375,
0.5095709562301636,
-0.5396475195884705,
0.8558754920959473,
0.6926161646842957,
-0.477414071559906,
0.5268953442573547,
-0.30352866649627686,
0.2605127692222595,
-0.5123662948608398,
0.08641644567251205,
... |
Detailed Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.
See one example below:
Problem: I heard enough of what she said to you last night to understand her unwillingness to be acting with a stranger;
Solution: دیشب شنیدم به تو چه میگفت. فهمیدم که دوست ند... | برای همنوعان خود تلاش میکند، راه پر مشقت آنها به سوی اصلاح و پیشرفت را هموار میسازد و تعصبات عقیدتی و فرقهای را که سد آن راهاند نابود میکند. | 4 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
0.2788090109825134,
0.9560950398445129,
-0.1768348217010498,
0.07750572264194489,
-0.2702852785587311,
-0.6876765489578247,
1.4570088386535645,
0.4398439824581146,
-0.00740960706025362,
0.018161486834287643,
-0.18781991302967072,
0.3596739172935486,
-0.46568363904953003,
-0.167167127132415... |
TASK DEFINITION: Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses ... | Positive
| 8 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.6233665943145752,
0.21356241405010223,
-0.23718422651290894,
0.6149153709411621,
0.21704280376434326,
-0.12869754433631897,
0.21385395526885986,
0.5384503602981567,
0.5320607423782349,
0.7377621531486511,
-0.002665881533175707,
0.549191951751709,
-0.0015416225651279092,
0.02820418961346... |
Definition: This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If... | date | 2 | NIv2 | task027_drop_answer_type_generation | zs_opt | [
0.2793850898742676,
-0.2806917428970337,
-0.2466018795967102,
-0.19281506538391113,
1.1426219940185547,
-0.038908377289772034,
1.224551796913147,
0.8735231161117554,
-0.641855776309967,
0.6831424832344055,
-0.9249498844146729,
0.3785771131515503,
-0.5629578828811646,
0.3476300835609436,
... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another in... | red_treasure_chest | 0 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
0.002267806325107813,
-0.2684890627861023,
0.1728666126728058,
0.0007356815040111542,
-0.31231093406677246,
-0.422468900680542,
0.20711800456047058,
0.7634278535842896,
0.008875840343534946,
-0.40320807695388794,
-0.5657284259796143,
0.5471513271331787,
-0.14775896072387695,
0.093735687434... |
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... | 3 | 0 | NIv2 | task1541_agnews_classification | zs_opt | [
-1.4484946727752686,
0.33286798000335693,
0.021599434316158295,
0.28697124123573303,
0.4050755500793457,
-0.12644971907138824,
-0.04421763867139816,
0.317753404378891,
-0.698620080947876,
0.14960640668869019,
-0.6070690155029297,
0.22918927669525146,
-0.5385193824768066,
-0.208495348691940... |
Q: In this task, you will be presented with a question having multiple possible answers in Chinese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: 我坐了下来，窗帘拉开，我享受着这什么？
Options: A 飞机 B 电影 C 礼堂 D 戏剧 E 显示
A: | E | 7 | NIv2 | task1141_xcsr_zh_commonsense_mc_classification | zs_opt | [
0.07161340117454529,
0.056780800223350525,
-0.834541916847229,
-0.3839019536972046,
-0.24659939110279083,
0.4257477819919586,
0.05011666566133499,
0.6247801184654236,
0.3734896183013916,
0.040321823209524155,
0.2485397458076477,
-0.08466201275587082,
0.5372013449668884,
-0.0021548422519117... |
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 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 ... | Yes | 0 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.07184593379497528,
-0.38213685154914856,
0.3924376368522644,
0.3480115532875061,
0.032287921756505966,
-0.8690699934959412,
0.7173712849617004,
0.7013355493545532,
-0.6838311553001404,
-0.06272555142641068,
-0.2022414654493332,
-0.3586758077144623,
-0.3628180921077728,
0.1691504716873169... |
Q: 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 sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually expl... | No | 7 | NIv2 | task608_sbic_sexual_offense_binary_classification | zs_opt | [
-1.5703822374343872,
0.1510380059480667,
0.22462475299835205,
0.10369472205638885,
0.10646648705005646,
-0.3546498417854309,
-0.0445440448820591,
0.8644963502883911,
-0.06628233194351196,
0.1473454236984253,
0.06675803661346436,
-0.40310412645339966,
-0.594666063785553,
-0.7850860357284546... |
This task is to translate the English language Input to Telugu Language Output
Ex Input:
SC Seychelles SCR Seychellois Rupee
Ex Output:
SC సీషెల్స్ SCR సెయిచెల్లోయిస్ రూపాయి
Ex Input:
How does the dubbr work? This video will get you started using the dubbr in no time! Contents 0:18 Tools 0:31 Edit video info 0:40 P... | సో బదులుగా ఇతరులతో సమయం ఖర్చు
| 1 | NIv2 | task1616_cc_alligned_translate_eng_tel | fs_opt | [
-0.49975526332855225,
0.8412737250328064,
-0.8333404064178467,
0.39084571599960327,
-0.46116548776626587,
-0.0385863333940506,
0.1599637269973755,
0.7412211894989014,
0.09069917351007462,
-0.21834217011928558,
0.5727272629737854,
-0.2330423891544342,
-0.6126270294189453,
-0.153013303875923... |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
One example: you have encouraged me thank you for sharing
Solution is here: Hope Speech
Explanation: The given tex... | Hope Speech | 6 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
-0.39170774817466736,
-0.26773273944854736,
-0.07222481817007065,
0.1715366393327713,
-0.3135536015033722,
-0.8519124984741211,
0.702139675617218,
0.265798956155777,
0.4831864833831787,
0.039680205285549164,
-0.564979076385498,
-0.09584671258926392,
-0.11542119085788727,
0.2615843415260315... |
You will be given a definition of a task first, then some input of the task.
In this task, your goal is to judge a correct answer to a given question based on an associated paragraph and decide if it is a good correct answer or not. A good correct answer is one that correctly and completely answers the question. A bad ... | Yes. | 1 | NIv2 | task056_multirc_classify_correct_answer | zs_opt | [
0.42491671442985535,
0.3499835729598999,
0.1764659285545349,
-0.039674870669841766,
0.4405944347381592,
-0.5767087936401367,
0.24834519624710083,
0.6887398362159729,
-0.3112446665763855,
-0.024463815614581108,
-0.48574697971343994,
0.2545316815376282,
-0.8952862024307251,
-0.07904413342475... |
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Nunca acontecerá. Não tens dinheiro que chegue.
| Non ce la farai mai. Non hai abbastanza denaro. | 5 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
-0.6078512072563171,
1.5876864194869995,
0.2846587300300598,
0.0656890869140625,
-0.8298521041870117,
-0.043645136058330536,
0.41803252696990967,
0.7075574398040771,
0.1698179990053177,
-0.3487548530101776,
0.24158374965190887,
0.5514844655990601,
-0.5206000208854675,
0.09166716039180756,
... |
Q: Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it be... | De ultieme zin zou je kunnen doen schudden tot de dood. | 7 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-1.2250025272369385,
1.116769790649414,
-0.2504206597805023,
-0.8076305389404297,
-0.47439685463905334,
-0.23159843683242798,
0.5632773637771606,
0.7477476596832275,
0.2770319879055023,
-0.6802407503128052,
-0.4012223780155182,
1.2357178926467896,
-0.8723033666610718,
0.5365051031112671,
... |
Given the task definition and input, reply with output. 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.
Dressing:, 1/2 cup plain yogurt, 1/2 cup reduced fat sour cream, 1/4 cup extra virgin olive oil, 1 l... | Dressing, plain yogurt, sour cream, extra virgin olive oil, jalapeno pepper, clove garlic, salt, freshly ground cumin, liquid smoke flavoring, cilantro, Salad Ingredients, peas, cold, cheddar cheese, ham, red onion, cilantro | 5 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
-0.42231285572052,
0.6616685390472412,
0.4762619137763977,
0.44557803869247437,
-0.05333651602268219,
0.18686090409755707,
1.0801609754562378,
0.3889388144016266,
-0.11507825553417206,
-0.3095945715904236,
0.21831971406936646,
-0.29610615968704224,
-0.8566398620605469,
-0.23372715711593628... |
Detailed Instructions: 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.
Problem:I have been buying new Morning Graham Crackers since February of 2010. Never had a Problem with damage of the crackers in shipping... | Positive | 8 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
-0.16136805713176727,
-0.3778800368309021,
0.13317035138607025,
-0.4659181833267212,
0.11232637614011765,
-0.3842395544052124,
0.4025673270225525,
0.20696000754833221,
-0.037263210862874985,
0.24046579003334045,
-0.2926284372806549,
-0.11295773833990097,
-0.9153506755828857,
-0.48681563138... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
[76, 158, 3... | [179, 111]
| 0 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.4371871054172516,
0.238429993391037,
-0.1949959397315979,
-0.5341596603393555,
0.30509576201438904,
0.21676228940486908,
0.8473070859909058,
0.43429988622665405,
-0.6285972595214844,
0.3214450180530548,
-1.0024986267089844,
-0.019793037325143814,
-0.14583894610404968,
-0.423750191926956... |
Instructions: Given a statement, generate a question such that the answer is contained in that statement.
Input: the mass of an object can be used to describe the dimensions of that object
Output: | What can be used to describe the dimensions of an object? | 3 | NIv2 | task1580_eqasc-perturbed_question_generation | zs_opt | [
0.457904577255249,
1.3370205163955688,
-0.9489049911499023,
-0.22390148043632507,
-0.44945767521858215,
-0.6567714810371399,
0.08622459322214127,
0.254494309425354,
0.19677585363388062,
-0.19843992590904236,
-0.783745527267456,
0.6211591958999634,
-0.16636855900287628,
-0.12888717651367188... |
Detailed Instructions: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Problem:أو ربما رأى شيئاً لا يمكن تفسيره بسهولة.
Solution: | Or maybe he saw something that can't easily be explained. | 8 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
0.1597847044467926,
0.5158094167709351,
0.5000272989273071,
-0.7751150727272034,
0.09790025651454926,
0.20941422879695892,
0.5805938243865967,
0.21648433804512024,
0.9984167814254761,
0.2061612904071808,
-0.2959028482437134,
-0.36543792486190796,
-0.17892321944236755,
0.6183404922485352,
... |
Detailed Instructions: Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
See one example below:
Problem: Tagalog sentence: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams
Solution: Roger Federer was the first player to ... | 9 "Six days you shall labor and do all your work, | 4 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
-0.0951739251613617,
0.22136621177196503,
-0.21017250418663025,
0.1609836220741272,
0.31599128246307373,
-0.9414447546005249,
0.5659122467041016,
0.7192227244377136,
-0.2042616307735443,
0.2916557788848877,
-0.020456477999687195,
0.7221366763114929,
-0.8362690210342407,
-0.1174046322703361... |
Definition: Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: Ang tatlong-taong edad na kabayo ay sumailalim sa biglaang operasyon noong ika-20 ng Mayo para mapagsama ang dalawang kasukasua... | この３歳の若い雄馬は５月２０日に故障した右脚の２つの関節を繋げるための緊急手術を受けた。 | 2 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-0.004345033783465624,
-0.20685875415802002,
-0.8623878955841064,
-0.1762053221464157,
-0.00010615785140544176,
-0.053508300334215164,
1.127781629562378,
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-0.24640604853630066,
-0.030274271965026855,
-1.0249637365341187,
0.7108521461486816,
-0.7869012951850891,
1.12560117... |
Part 1. Definition
This task is about translating a given English language sentence to Spanish.
Part 2. Example
It's this amazing wonderful feeling and you know it when you get it.
Answer: Es ese sentimiento asombroso e increíble, y lo reconoces cuando lo sientes.
Explanation: This is a good example because the English... | Por lo tanto, los niños saben más y aprenden más de lo que habíamos pensado. | 7 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.2462635338306427,
0.38490208983421326,
0.5034583806991577,
-0.07066790759563446,
-0.419807106256485,
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-0.07240618765354156,
0.39660272002220154,
-0.7159514427185059,
0.10243161022663116,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
המרכיבים לקיום חיים הם: מים נוזליים - חייבים שתהיה תמיסה, לא קרח, אלא נוזל.
Os ingredientes da vida son: auga en estado líquido, temos que ter un solvente, non pode ser xeo, ten que ser líquido.
עכשיו אני דן בזה עם פרופסור... | E durante ese minuto sentíronse un co Universo, un con esa xerra de auga, un con cada ser humano. ™ Un co creador, e sentíronse en presenza do poder, do asombro, do máis profundo amor, a máis profunda compaixón e misericordia que experimentaran nas súas vidas.
| 0 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
0.021651532500982285,
0.6478093266487122,
0.2814059555530548,
-0.7104874849319458,
0.15667060017585754,
-1.4688849449157715,
0.6384124755859375,
-0.06429853290319443,
-0.31980860233306885,
-0.06822501122951508,
0.039504773914813995,
-0.05577237904071808,
-1.4021763801574707,
0.353694826364... |
Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Input: Narrador: Este é o espaço que eles escolhem para as suas audições fraudulentas. para um anúncio a um batom.
Output: | المعلق: هذا هو المكان الذي اختاروه لاجراء اختباراتهم الوهمية لاعلان عن مرطب شفاه | 3 | NIv2 | task1277_ted_translation_pt_ar | zs_opt | [
-0.08125875145196915,
1.154613733291626,
0.0938023179769516,
-0.8216100931167603,
-0.33248835802078247,
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0.18389025330543518,
0.130415678024292,
0.3520352840423584,
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-1.1399885416030884,
-0.21027036011219025,
-0.5241732597351074,
-0.3210017681121826,
... |
You will be given a definition of a task first, then some input of the task.
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... | Yes | 1 | NIv2 | task1204_atomic_classification_hinderedby | zs_opt | [
0.7611873149871826,
0.44372037053108215,
0.6214512586593628,
-0.31583625078201294,
-0.2638731300830841,
-0.7274110317230225,
0.8177995681762695,
0.37140870094299316,
-0.36559849977493286,
-0.2635001242160797,
-0.5317579507827759,
-0.6727890968322754,
-0.4042781591415405,
0.1671859920024871... |
Part 1. Definition
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Part 2. Example
Qu... | larger | 7 | NIv2 | task178_quartz_question_answering | fs_opt | [
-0.49312931299209595,
0.05315320938825607,
-0.2757638096809387,
-0.5201911330223083,
-0.10728657245635986,
-0.6683316230773926,
0.7586830854415894,
0.9328256845474243,
-0.7064945697784424,
0.3057112991809845,
-0.9155678749084473,
-0.3594111502170563,
-0.6190201044082642,
-0.009283647872507... |
Given the task definition, example input & output, solve the new input case.
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a fr... | #1 return small spheres
#2 return #1 that are purple
#3 return materials of #2
#4 return are #3 the same | 1 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.9270569086074829,
-0.017792992293834686,
-0.8288964629173279,
0.7230092287063599,
0.3345065116882324,
-0.33075129985809326,
0.9238362312316895,
0.44255122542381287,
-0.6031175255775452,
0.2921135723590851,
-0.46444404125213623,
0.08811470866203308,
0.21759149432182312,
0.5645636320114136... |
Given the task definition and input, reply with output. 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.
help me to get her back why are you trying to forget your girlfriend or do you mean exgirlfriend i a... | sad | 5 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-1.5714828968048096,
0.4837380349636078,
0.37722858786582947,
-0.47017017006874084,
-0.0059698233380913734,
-0.7222702503204346,
0.8446141481399536,
-0.0017580079147592187,
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-0.07370293885469437,
-0.40857553482055664,
-0.33452677726745605,
-0.3325335681438446,
0.59693181... |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
[Q]: ['h', 't', '371', 'e', '153', 'b']
[A]: 1, 3, 5, 7
[Q]: ['493', '441', '3', 'p', '23', 'x', 'n', '417', '299', 'v', 'l', '415']
[A]: 1, 2, ... | 1, 2, 3, 4, 6, 7, 9
| 5 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | fs_opt | [
-0.4154861569404602,
0.2333357036113739,
-0.21140027046203613,
-0.13846299052238464,
0.009610850363969803,
0.39897090196609497,
0.7199369072914124,
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0.4147600531578064,
-0.8359557390213013,
-0.04501302167773247,
-0.6081485748291016,
0.09347042441368... |
You will be given a definition of a task first, then some input of the task.
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said ... | Ok just getting for my limo driver. | 1 | NIv2 | task1729_personachat_generate_next | zs_opt | [
-0.4141206443309784,
0.21278798580169678,
-0.44854462146759033,
-0.30343717336654663,
0.06236817687749863,
0.26075688004493713,
0.8033337593078613,
-0.4058014750480652,
0.4687374234199524,
-0.42103826999664307,
0.15164640545845032,
0.04473605751991272,
-0.4375740885734558,
-0.0239396728575... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitical depending on the... | non-geopolitical | 9 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | fs_opt | [
-0.5599440932273865,
-0.04485667496919632,
0.7043529748916626,
0.028014885261654854,
-0.4275509715080261,
-0.3381500244140625,
-0.3576650321483612,
0.3364545702934265,
-0.12665659189224243,
-0.08214931190013885,
-0.11908812820911407,
-0.833798885345459,
-0.3022189736366272,
-0.195901647210... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Article: fresh separatist protests rocked revolt-hit indian kashmir on friday , leaving two people dead and ## others injured when... | no | 0 | NIv2 | task289_gigaword_summarization | zs_opt | [
0.3567405641078949,
0.31471872329711914,
-0.29350918531417847,
0.3300761878490448,
-0.41098594665527344,
-0.616112232208252,
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-0.45920300483703613,
0.3916177451610565,
0.10787136852741241,
0.2813299894332886,
-0.05044330656528473,
0.3843901753425598,... |
Teacher: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B".... | Dolphins wash up on the beach >Causes/Enables> The friends push them back | 2 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
0.10754793882369995,
0.1922914832830429,
-0.7691552042961121,
-0.5650419592857361,
-0.7425680160522461,
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0.41492533683776855,
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-0.8665035367012024,
0.0464119091629982,
0.05551418289542198,
0.1626128852367401,
-0.3490367531776428,
-0.7987622618675232,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for exam... | Non-obscene | 1 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.5215849280357361,
0.34500882029533386,
0.41635486483573914,
0.5584411025047302,
0.2574574947357178,
-0.01025492325425148,
0.13663393259048462,
0.9313033819198608,
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0.8455223441123962,
0.07096637785434723,
0.1687246859073639,
0.12711314857006073,
-1.0459098815917969,
... |
instruction:
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial con... | She asked me if I was feeling okay.
| 9 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.501587986946106,
-0.13454797863960266,
-0.10668507218360901,
0.1136227548122406,
0.33412450551986694,
-0.9797743558883667,
-0.3808598518371582,
1.188359260559082,
-0.14442375302314758,
-0.02926182933151722,
-0.042433418333530426,
-0.36025381088256836,
0.14596989750862122,
-0.031431354582... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
--------
Question: La luz pasa por ese orificio.
Answer: La luce vi passa attraverso,
Question: Nada de etiquetas.
Answer: Niente etichette.
Question: Digamos que son, en su corazón, especialistas.
Answer: | Ora, diciamo che siete, nel cuore, uno specialista.
| 7 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.39964544773101807,
0.5123215913772583,
-0.2941676676273346,
0.17624202370643616,
-0.17419087886810303,
-0.2768974304199219,
0.014500921592116356,
0.8490138053894043,
-0.08956244587898254,
-0.6293590664863586,
-0.16315919160842896,
0.15598008036613464,
-0.31436800956726074,
0.73184138536... |
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).
Q: 研究者らは彼らの金を返却させようとし、ホイットンとダイヤーが宿泊するホテルに行ったが、部屋は空っ... | The researchers then attempted to reclaim their money and went to the hotel Whitton and Dyer were staying in, only to find the rooms empty, and the two men nowhere to be found. | 9 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.11945374310016632,
0.2703690528869629,
0.5224581956863403,
-1.0115342140197754,
0.21086519956588745,
-0.5000877976417542,
0.4165409207344055,
0.34243497252464294,
-0.2656545639038086,
-0.5653648376464844,
-0.301346093416214,
0.3516351580619812,
-0.8108954429626465,
-0.1459103673696518,
... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Q: If you enjoy shopping at large antique stores where you can browse through thousands of interesting items, t... | POSITIVE | 4 | NIv2 | task475_yelp_polarity_classification | zs_opt | [
-1.2769347429275513,
0.35591626167297363,
-0.4396754503250122,
0.3589608669281006,
0.30476367473602295,
-0.19825223088264465,
0.36993908882141113,
0.6202564239501953,
0.5115714073181152,
0.08599679172039032,
-0.09452252835035324,
0.5919587016105652,
-0.7652335166931152,
0.5338708758354187,... |
Detailed Instructions: 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... | 3, Another car ran a stop sign and crashed into us. | 9 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-1.0667487382888794,
0.8891505002975464,
-0.0650244876742363,
-0.7590595483779907,
-0.28915396332740784,
0.4660663902759552,
0.6747907400131226,
0.10740591585636139,
0.5096149444580078,
-0.2366543859243393,
-0.5574278831481934,
-0.4912486970424652,
-0.5248569250106812,
0.4022543728351593,
... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwi... | Solution: Yes | 5 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.35358861088752747,
0.08450843393802643,
0.3806801736354828,
0.3703139126300812,
0.2684687376022339,
0.11405115574598312,
0.03807432949542999,
0.9126803874969482,
0.07682611048221588,
0.10905896127223969,
-0.33898109197616577,
-0.9399213790893555,
-0.3883965015411377,
-0.3942096829414367... |
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
One example: THEM: i need the hats and the ball YOU: i can give you one hat and the ball. i want 2 books and 1 hat THEM: i have to have both hats and the ball or both hats and a book to make a dea... | No | 6 | NIv2 | task1384_deal_or_no_dialog_classification | fs_opt | [
0.7474771738052368,
0.4100862741470337,
-0.20698802173137665,
0.6266812086105347,
0.2797773778438568,
-0.7550725340843201,
0.3242758512496948,
0.5813512206077576,
0.15012383460998535,
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-0.3176534175872803,
-0.03138343244791031,
-0.7336289882659912,
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... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Input: Oggi vorrei introdurvi l'Indice di Progresso Sociale.
Output: | Hoy quiero presentarles el Índice de Progreso Social. | 3 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.9787782430648804,
0.06706547737121582,
-0.3343704342842102,
-0.5571049451828003,
-0.32776230573654175,
0.05985846742987633,
-0.3759663701057434,
1.2680251598358154,
0.3622494041919708,
-0.4572522044181824,
-1.0339137315750122,
-0.15986591577529907,
-0.3606168031692505,
-0.17733451724052... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be compl... | Where is the wagon train heading from in the movie? | 1 | NIv2 | task193_duorc_question_generation | zs_opt | [
0.8644496202468872,
-0.21639826893806458,
-0.43908950686454773,
-0.042559366673231125,
-0.1158597320318222,
-0.6726987957954407,
0.7332810759544373,
0.5490026473999023,
0.09208759665489197,
-0.14765824377536774,
-0.3200855255126953,
-0.041514988988637924,
-0.44561460614204407,
0.1729898154... |
In this task, 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.
Input: Consider Input: Wasn’t even the product described in description! This was my second time ordering the same item and it wasn’t right this ti... | Output: negative
| 2 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
0.0565260574221611,
0.1616448014974594,
-0.6544846892356873,
0.27082914113998413,
0.22423842549324036,
-0.13759127259254456,
0.14165785908699036,
0.8664643168449402,
-0.0894516110420227,
0.18857835233211517,
-0.09499068558216095,
0.2796536684036255,
-0.6134428381919861,
-0.6137415170669556... |
Definition: In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Input: Sentence: 'there is a man that is sitting in a hotel room'. Remove all words of length '3' in the given sentence.
Outpu... | there is a that is sitting in a hotel room | 2 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
0.10046952962875366,
-0.12511612474918365,
-0.3676066994667053,
-0.8602237701416016,
0.24114423990249634,
-0.15990030765533447,
-0.10461821407079697,
0.4412628412246704,
0.24458590149879456,
-0.11317741125822067,
-0.959780752658844,
-0.1728590428829193,
-0.6412420272827148,
-0.111301235854... |
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 Persian, and your task is to translate it into English.
جناب گرانت خیلی دلش میخواست روز یکشنبه بعد از آن همه خستگی روزانه بنشیند و بوقلمون را بخورد.
Soluti... | She alone was sad and insignificant: | 0 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.9618317484855652,
0.08506336808204651,
-0.06422388553619385,
-0.25594764947891235,
-0.5460353493690491,
-0.5973892211914062,
1.1143698692321777,
0.09154157340526581,
0.4133591949939728,
-0.40318191051483154,
-0.5590450763702393,
0.33338892459869385,
-0.22933438420295715,
0.8510397672653... |
Definition: Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: นักบวชชาวซูดานหลายคนไม่สนใจคำแนะนำของรัฐบาลที่ไม่ให้สร้างความตึงเครียดให้แก่สถานการณ์ไปมากกว่านี้ แม้ว่าพวกเขาจะหยุดหลังเรียกร้องให... | 何人かの敬虔なスーダン聖職者は、彼女の死を直接的に要求することは止めたが、事態を悪化させないための政府の指示を無視した。 | 2 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.44865328073501587,
-0.3509299159049988,
-0.6221292018890381,
-0.5696167945861816,
-0.23616398870944977,
-0.5001376867294312,
1.0397028923034668,
0.19210335612297058,
-0.012270109727978706,
-0.11908853054046631,
-0.5762463212013245,
0.8185356855392456,
-0.9728147387504578,
0.736923575401... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes
| 5 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.1653548777103424,
0.24693500995635986,
0.3759063482284546,
-0.04089273139834404,
-0.5426933765411377,
-0.8443408012390137,
1.1854901313781738,
0.12560582160949707,
-0.2295425683259964,
-0.5776889324188232,
-0.43583038449287415,
-0.32099437713623047,
-0.5529645681381226,
0.349222779273986... |
A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
Let me give you an example: તેમણે અમેઠીમાં કલાશ્નિકોવ એસોલ્ટ રાયફલનુ ઉત્પાદન કરનાર સંયુક્ત સાહસ ઇન્ડો-રશિયન રાયફલ્સ પ્રા
The answer to this example can b... | رائل یونیورسٹی آف بھوٹان، تھمپو میں وزیر اعظم کے خطاب کا متن | 8 | NIv2 | task1001_pib_translation_gujarati_urdu | fs_opt | [
-0.3467445969581604,
0.704098641872406,
-0.24413497745990753,
-0.7506037950515747,
-0.1424422562122345,
-0.2401210218667984,
0.36015331745147705,
0.20547829568386078,
0.3497180640697479,
-0.4096922278404236,
-1.03084397315979,
0.08862555027008057,
-0.5780253410339355,
0.18517562747001648,
... |
Q: 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 ... | A view of an empty swimming pool in someones backyard. | 7 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.7782678604125977,
0.9866876602172852,
-0.09505674988031387,
-0.9989742040634155,
-0.20473575592041016,
-0.9386587738990784,
0.06385722756385803,
1.0588966608047485,
0.2691790461540222,
-0.41831445693969727,
-0.5919777750968933,
-0.3000239431858063,
-0.3540455996990204,
-0.01497085019946... |
Definition: You will be given two sentences. One of them is created by paraphrasing the original one, with changes on an aspect, or using synonyms. Your task is to decide what is the difference between two sentences. Types of change are explained below:
Tense: The verbs in the sentence are changed in tense.
Number: Pl... | Adverb | 2 | NIv2 | task276_enhanced_wsc_classification | zs_opt | [
-0.3759525418281555,
0.6720364093780518,
0.04095800220966339,
0.0611393116414547,
0.12037812173366547,
-0.4552466869354248,
0.818763256072998,
0.5721214413642883,
0.5020692348480225,
-0.5939517617225647,
-0.32116982340812683,
0.058110494166612625,
-0.985314130783081,
0.13607777655124664,
... |
instruction:
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
question:
Reviews: These are junk! Bot... | True
| 9 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
-0.4367900490760803,
0.3092705011367798,
-0.5586227178573608,
-0.0438520647585392,
-0.388696551322937,
-0.4444202780723572,
0.5469837188720703,
0.7409509420394897,
-0.12063415348529816,
0.31801021099090576,
-0.4248790740966797,
0.7507892847061157,
-0.129253551363945,
-0.18865852057933807,
... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
--------
Question: How was Nintendo Entertainment System software distributed?, Context: To differentiate Nintendo's new home platform from the early 1980s' common perception of a troubled and shall... | 1937
| 7 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.24565628170967102,
-0.2585534453392029,
-0.9454107284545898,
0.056987449526786804,
-0.22042003273963928,
-0.12513476610183716,
1.1178152561187744,
1.1640180349349976,
-0.042130716145038605,
0.13852430880069733,
0.001186563167721033,
0.3991210460662842,
-0.9465217590332031,
0.422809988260... |
Part 1. Definition
Given a text, write a compressed version of it in a single sentence.
Part 2. Example
Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford University.
Answer: "Except for this small vocal minor... | The company rid of suitors by adopting a shareholder-rights plan | 7 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.6037055253982544,
0.8611597418785095,
0.41678953170776367,
-0.22618155181407928,
-0.07402142882347107,
-1.2771484851837158,
0.6547461152076721,
0.6447595357894897,
0.025979723781347275,
0.5822625756263733,
-0.3853501081466675,
0.16701450943946838,
-0.493380606174469,
-0.5587217807769775... |
Detailed Instructions: In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in ... | #1 return the Kennedy children
#2 return #1 who held a position
#3 return #2 until 1962
#4 return number of #3 | 8 | NIv2 | task176_break_decompose_questions | zs_opt | [
1.1007490158081055,
-0.28627628087997437,
-0.8314318656921387,
0.3731365501880646,
0.5046629905700684,
-0.2876375913619995,
1.4899241924285889,
0.35987764596939087,
-0.18742172420024872,
0.381721556186676,
-0.18248149752616882,
0.026903342455625534,
-0.15399566292762756,
0.8312612771987915... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
ولكن من أين تأتي البيتكوين ؟
| ではビットコインは一体どこで鋳造されるのでしょうか ？ | 5 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.1817585974931717,
0.13787643611431122,
0.009975075721740723,
-0.015054460614919662,
-0.17668622732162476,
0.7025643587112427,
0.3113253712654114,
0.42766380310058594,
0.5024415850639343,
-0.885260283946991,
-0.6071537137031555,
0.27344584465026855,
-0.545788049697876,
0.4987770318984985... |
In this task, given a sentence in the Hindi language, your task is to convert it into the English language.
Input: Consider Input: इस जीत के साथ, मालिक चिप गनासी रेसिंग इतिहास में ऐसी पहली टीम के मालिक बन गए, जिनके ड्राइवरों ने स्प्रिंट कप (जेमी मैकमुरे द्वारा जीता गया) और इंडियानापोलिस 500 को एक ही वर्ष में जीता।
Ou... | Output: Spectators included the Australian Chef de Mission, Jason Hellwig, and his deputies, Michael Hartung and Kate McLoughlin.
| 2 | NIv2 | task544_alt_translation_hi_en | fs_opt | [
-0.5897624492645264,
-0.5100067853927612,
-0.13122862577438354,
0.40916234254837036,
0.07757934927940369,
-0.8001329898834229,
-0.33800768852233887,
-0.28560829162597656,
-0.007513255812227726,
0.17304538190364838,
-1.2165558338165283,
0.11180730164051056,
0.0165533609688282,
-0.6681712865... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Problem:ما مجبور شدیم که از طراح صنعتیمان تا زمانی که او در واقع این کار را پذیرفت مخفی نگهش داریم و بعد او نزديك بود جيغ كشان پا به فرار بگذاره.
Solution: | היינו צריכים לשמור אותם בסוד מהמעצבת התעשייתית שלנו עד שהיא קיבלה את התפקיד, ואז היא כמעט נסה על נפשה בצווחות. | 8 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-0.8135779500007629,
0.9429793357849121,
-0.04138195514678955,
0.0196406077593565,
-0.3552311360836029,
-0.4356057047843933,
-0.33476996421813965,
0.06454114615917206,
0.5310736894607544,
0.20906993746757507,
-0.7322405576705933,
0.3508375287055969,
-0.23177829384803772,
0.1289264857769012... |
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.
[EX Q]: Context_1 : The Get Em Mamis is an Alternative Hip Hop group from the East Coast, Un... | Which musician performed with Stephen Malkmus and the Jicks, Jon Spencer or Stephen Malkmus?
| 6 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.4898567199707031,
-0.05307834595441818,
-0.9122867584228516,
0.4144112467765808,
0.748100996017456,
-0.1706920564174652,
0.516997218132019,
0.9207581281661987,
-0.10081307590007782,
0.8607635498046875,
-0.48919278383255005,
0.6296560168266296,
-0.5310114622116089,
-0.019888337701559067,
... |
TASK DEFINITION: In this task, 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.
PROBLEM: This fits perfect and firm with the Velcro, so its fully adjustable. Feels light on the legs, you get used to it after wea... | positive
| 8 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
0.012747049331665039,
-0.4804125428199768,
-0.3355633616447449,
-0.07871007174253464,
0.29814210534095764,
-0.0787903293967247,
0.8120121955871582,
0.18844597041606903,
-0.030795130878686905,
0.45929983258247375,
-0.29422664642333984,
-0.09423217922449112,
-0.5954906344413757,
-0.317759156... |
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".
Q: Japanese: 米国は12月25日、ナイジェリア人の男が下着に爆発物を隠してデルタ航空の航空機爆破を試み未遂に終わった件を受けて、空港の安全策を... | No
****
| 4 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.6071629524230957,
-0.27962496876716614,
0.529070258140564,
0.43934547901153564,
0.4229525327682495,
-0.1730618178844452,
0.13696256279945374,
0.3125140070915222,
-0.7236173152923584,
0.46657097339630127,
-0.5947575569152832,
0.4206981062889099,
-0.7368927597999573,
-0.37488219141960144,... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | strengthener | 3 | NIv2 | task935_defeasible_nli_atomic_classification | fs_opt | [
0.08438178896903992,
0.44370198249816895,
0.08852668106555939,
-0.422713041305542,
-0.12471236288547516,
-0.8907210826873779,
0.9926775693893433,
0.8777869939804077,
0.4615570306777954,
-0.7586405277252197,
-0.9875762462615967,
-0.26761728525161743,
-0.8869658708572388,
-0.0671845078468322... |
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Let me give you an example... | 19876 | 8 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
-0.009927518665790558,
1.130129337310791,
-0.5076434016227722,
-0.10181766748428345,
-0.27238309383392334,
-0.6479178667068481,
0.7726991772651672,
0.934598445892334,
0.3246922492980957,
-0.6122903823852539,
-0.9068723320960999,
-0.2797035574913025,
-0.41711917519569397,
0.5264089107513428... |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. A... | summer can cause change to the environment.
| 0 | NIv2 | task038_qasc_combined_fact | fs_opt | [
0.2266397774219513,
0.6637074947357178,
-0.8375242948532104,
0.0898856595158577,
-0.421946257352829,
-1.4672271013259888,
-0.05440889671444893,
1.092470407485962,
-0.3868606686592102,
0.12135443836450577,
-1.234867811203003,
0.597658634185791,
-0.5498116612434387,
0.1772962212562561,
-0.... |
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, given a sentence in the Vietnamese language, your task is to convert it into the English language.
Theo Trung tá Forbes Peters của Hải quân Australia, các quan chức Indonesia cũng hài ... | "According to preliminary reports, 85 members of the delegation and the crew," he added. | 0 | NIv2 | task536_alt_translation_vi_en | fs_opt | [
-0.13245484232902527,
-0.215542733669281,
-0.16970345377922058,
-0.4760007858276367,
0.47719377279281616,
-0.5350505113601685,
0.4122629761695862,
-0.06974980235099792,
0.5437349081039429,
0.47678595781326294,
0.31477493047714233,
0.28829139471054077,
-0.01853679120540619,
0.37080579996109... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | They are hard to aim at.
| 6 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.3766566812992096,
0.33487147092819214,
-0.6150175333023071,
0.07677115499973297,
0.48455023765563965,
-0.2722077965736389,
0.3263201117515564,
0.7334192991256714,
-0.06937584280967712,
-0.33842116594314575,
-0.3877260684967041,
-0.03785446658730507,
-1.0915794372558594,
-0.4017215967178... |
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 need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: walking at 5 / 6 th of its usual speed a cab is 1... | c | 0 | NIv2 | task1422_mathqa_physics | fs_opt | [
1.0058143138885498,
-0.537007212638855,
-0.5815099477767944,
-0.003938763402402401,
-0.12969118356704712,
-0.2676538825035095,
0.5396392941474915,
0.7974458336830139,
-0.19587494432926178,
-0.16317014396190643,
-1.0264111757278442,
-0.26271945238113403,
-0.0014225419145077467,
0.4134868383... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'fir... | [{'first': -68, 'second': 6}, {'first': 19, 'second': -12}, {'first': 65, 'second': -88}] | 1 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
0.03539007902145386,
0.1135406345129013,
-0.21436762809753418,
-0.2161879986524582,
0.40664738416671753,
0.22951804101467133,
0.42539510130882263,
0.31319624185562134,
0.2755970358848572,
-0.2921696901321411,
-0.5944052934646606,
-0.7272796630859375,
-0.6191394925117493,
-0.384109377861022... |
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.
[Q]: Cleavage is perfect in ____ directions forming rhombs.
[A]: three
[Q]: Milk contains ____ complex carbohydrates.
[A]: zero
[Q]: Women general... | eight
| 5 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.5983178019523621,
1.0353211164474487,
0.06435053050518036,
-0.5102378129959106,
-0.2388155162334442,
0.13516807556152344,
0.5179592370986938,
0.5184919834136963,
-0.3144773244857788,
-0.25531089305877686,
-0.12224819511175156,
-0.3554896414279938,
-0.27644509077072144,
-0.39835095405578... |
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 answer the question correctly and completely. In those ca... | A, D, E.
| 1 | NIv2 | task058_multirc_question_answering | fs_opt | [
0.4589986801147461,
0.23055435717105865,
-0.3377358317375183,
-0.1784808486700058,
0.5276010036468506,
-0.31180331110954285,
0.1340402215719223,
1.0829813480377197,
-0.3979007601737976,
0.27384769916534424,
0.33323025703430176,
0.5787731409072876,
-0.4506494402885437,
0.1544828712940216,
... |
Given the task definition and input, reply with output. In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but n... | Hateful | 5 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.941486120223999,
0.5830128788948059,
0.5905596017837524,
0.33377310633659363,
-0.49852603673934937,
-0.3156938850879669,
0.4674108624458313,
1.2448586225509644,
0.5261081457138062,
0.07461826503276825,
-0.3993547260761261,
0.462962806224823,
-0.7062469720840454,
-0.5957739949226379,
-... |
You will be given two questions. You should decide whether the second question is a good paraphrase of the first one. If you are able to tell that the two questions are the same without any other information, answer "Yes", otherwise answer "No".
Input: Consider Input: original question: What genre of music does the ar... | Output: No
| 2 | NIv2 | task404_grailqa_paraphrase_validation | fs_opt | [
-0.4566507935523987,
0.7026934623718262,
0.14613747596740723,
0.246601402759552,
-0.031357236206531525,
-0.3695109486579895,
0.4376455843448639,
0.2847694158554077,
0.6350803971290588,
0.17730063199996948,
-0.5491032600402832,
-0.22015368938446045,
-0.464900404214859,
-0.26915448904037476,... |
Definition: 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 ... | She brings it home >Causes/Enables> She realizes it is too tall | 2 | NIv2 | task748_glucose_reverse_cause_event_detection | zs_opt | [
-0.09787324070930481,
0.24379195272922516,
-0.23435556888580322,
-0.15088233351707458,
-0.22823487222194672,
-1.3105571269989014,
0.45148801803588867,
1.0099067687988281,
-0.08829554170370102,
0.4804215133190155,
-0.7315369844436646,
0.08079367876052856,
-0.488502562046051,
0.1835998892784... |
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anythi... | C
| 3 | NIv2 | task309_race_answer_generation | fs_opt | [
0.07170140743255615,
0.06687221676111221,
-1.0534884929656982,
0.08096080273389816,
0.44330286979675293,
-0.21033813059329987,
0.5283306241035461,
1.128786325454712,
-0.29604247212409973,
0.22726601362228394,
-0.40494590997695923,
0.09799942374229431,
-0.3578212261199951,
0.197959840297698... |
Definition: You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype i... | unrelated | 2 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.20647594332695007,
0.08254536241292953,
0.29873090982437134,
-0.2894482910633087,
-0.13518473505973816,
-0.3237116038799286,
0.32530421018600464,
0.835756242275238,
0.2363063097000122,
-0.016467217355966568,
-0.7708038687705994,
-0.1305098831653595,
-0.8580230474472046,
-0.3140169382095... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Q: Ovviamente, è molto difficile gestire il trasporto di massa o usare biciclette in questi ambienti.
A: | E claro que é muito difícil ter transporte de massas ou usar bicicletas nessas localidades. | 9 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
0.0009711342281661928,
0.8381034135818481,
-0.23739135265350342,
-0.20866554975509644,
-0.5176874399185181,
-1.0110547542572021,
-1.181457281112671,
1.4360297918319702,
0.13884541392326355,
0.19977125525474548,
-0.7128978371620178,
0.12680737674236298,
0.39035680890083313,
0.26987582445144... |
Instructions: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Input: Beginn... | 2 | 3 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.595233678817749,
1.1356085538864136,
-0.11858005821704865,
-0.027484383434057236,
-0.3155794143676758,
-0.5506058931350708,
0.5771967768669128,
0.5492211580276489,
0.5051539540290833,
-0.2822934091091156,
-0.9607019424438477,
-0.13043947517871857,
-0.5843769907951355,
-0.445509135723114... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
جدید ٹیکنالوجی کو تیزی سے اختیار ک... | এছাড়াও, সংস্থার পুনরুজ্জীবন এবং আধুনিকীকরণ পরিকল্পনার কাজ সঠিক সময়ে শেষ হওয়ার পর নিপা লিমিটেডের কৌশলগত বিলগ্নিকরণেও অনুমতি পাওয়া গেছে। | 0 | NIv2 | task1070_pib_translation_urdu_bengali | fs_opt | [
-0.3019770085811615,
0.7100414037704468,
-0.3504360318183899,
-0.31641966104507446,
-0.531371533870697,
-0.4220823049545288,
0.9106508493423462,
1.0165350437164307,
-0.2824448049068451,
0.037828147411346436,
-1.012100100517273,
0.19182854890823364,
0.061744995415210724,
0.2090972661972046,... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Swedish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Swedish language. 2)... | Min tro är att han måste ha tillhört något slags sällskap som svurit på avhållsamhet från bröd och sylt; eftersom han avböjde det tämligen oartigt, som vore han upprörd över att ha frestats med det och han tillade, att det var hans plikt att se till att vi försvann därifrån. | 8 | NIv2 | task1648_opus_books_en-sv_translation | fs_opt | [
-0.4665301442146301,
0.8837622404098511,
-0.3102564811706543,
-0.7576156854629517,
-0.04533553496003151,
-0.0988306850194931,
0.5963445901870728,
0.13309529423713684,
0.1732349395751953,
-0.727839469909668,
-0.23871219158172607,
0.8442434072494507,
-0.6555511951446533,
-0.31736335158348083... |
instruction:
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using ... | The man is a famous artist.
| 9 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
-0.12516841292381287,
0.1824498176574707,
-0.6101618409156799,
-0.24303331971168518,
0.18351519107818604,
-0.803494393825531,
0.06759508699178696,
1.0297311544418335,
0.14153821766376495,
-0.03528641164302826,
-0.5602281093597412,
0.12155330926179886,
0.07466641068458557,
-0.08305817842483... |
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\*.
Ex Input:
who led an expedition to expl... | opportunity cost
| 1 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-1.6222174167633057,
0.3204041123390198,
-0.21443791687488556,
-0.19689863920211792,
-0.7524564266204834,
-0.1733728051185608,
0.7836203575134277,
0.3785278797149658,
0.4268144965171814,
-0.35432958602905273,
0.30153635144233704,
-0.06810557842254639,
-0.7086743116378784,
-0.34453937411308... |
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Q: Alex set Riley on fire in the game when Riley had low health left.
A: | What will happen to Alex? | 4 | NIv2 | task596_mocha_question_generation | zs_opt | [
0.21882183849811554,
1.0117802619934082,
-0.025332150980830193,
-0.6009935140609741,
-0.7885293960571289,
-0.5473394393920898,
0.8565083146095276,
0.38710904121398926,
0.3895615339279175,
-0.6307191848754883,
-0.19745613634586334,
0.3335343301296234,
-0.7384379506111145,
0.5845932960510254... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | No | 3 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.1366032212972641,
0.4915664494037628,
0.26021239161491394,
-0.1720285415649414,
-0.6012763977050781,
-0.6808885931968689,
1.019850730895996,
0.5038338303565979,
-0.7359939217567444,
-0.6027947068214417,
-0.5334454774856567,
-0.472670316696167,
-0.7831447124481201,
0.1001080870628357,
0... |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Ex Input:
Sentence1: I'd like to find some place to go on the east side of town. Sentence2: Thank you. Have a good day, goodbye. Sentence3: I can certainly suggest something for you. I have... | Answer: (A) User
| 1 | NIv2 | task638_multi_woz_classification | fs_opt | [
0.5569086670875549,
0.6176121234893799,
-0.6585209369659424,
-0.012517765164375305,
0.21889832615852356,
-0.6849768161773682,
0.6974163055419922,
0.7127818465232849,
-0.34197789430618286,
-0.33255985379219055,
-0.4102405607700348,
0.6836743950843811,
-0.8676678538322449,
0.2058429718017578... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a piece of an article. Your task is to generate a short summary of the text. Try to give the summary in just one sentence.
US Secretary of State John Kerry will visit China Friday and Saturday, Chinese foreign mini... | Operation Elveden : a former Surrey police officer is to be charged. | 1 | NIv2 | task1355_sent_comp_summarization | zs_opt | [
-1.0318572521209717,
0.5544352531433105,
-0.6886880993843079,
0.24446119368076324,
-0.021955521777272224,
0.4290173649787903,
-0.6131483316421509,
-0.08525405824184418,
-0.43186086416244507,
0.6282572746276855,
0.3572227656841278,
0.4574238657951355,
0.8955527544021606,
0.9257802963256836,... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
See one example below:
Problem: Brindo soluciones. Estoy muy feliz.
Solution: Udostępniam rozwiązanie. Jestem bardzo szczęśliwy.
Explanation: The Spanish sentence is correctly translated into Polish, b... | Nie ma powodu, dla którego to Europa czy Chiny mają mieć najszybsze pociągi. '' A jednak jest taki powód, ocena wpływu na środowisko zmutowała w procedurę, która nie pozostawia kamienia na kamieniu, i oznacza wiele dodatkowych lat pracy nad każdym większym projektem, po których przez parę lat toczy się spór sądowy któr... | 4 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-0.7552309036254883,
1.353522777557373,
-0.4569290280342102,
-0.6581717133522034,
-0.735805869102478,
-0.7875969409942627,
0.7043965458869934,
0.46601155400276184,
-0.016823215410113335,
-0.375644326210022,
-0.2232363522052765,
0.7262110710144043,
-0.34683048725128174,
0.3193477988243103,
... |
Instructions: In this task, you are given music product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: FAST food metal . Dragonforce... Le groupe qui aurait du me passionne... | NEG | 3 | NIv2 | task484_cls_french_music_classification | zs_opt | [
0.6216369271278381,
0.813604474067688,
-0.6021523475646973,
-0.6410086154937744,
-0.15744170546531677,
-1.1579742431640625,
1.3297103643417358,
1.1384060382843018,
0.12784507870674133,
0.6458960175514221,
0.04071970283985138,
-0.09555166214704514,
-0.046796686947345734,
-0.5546399354934692... |
TASK DEFINITION: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
PROBLEM: بل ، يمكننا إيقاف أثار بزراعة أفضل الأراضي التي لدينا.
SOLUTION: به جای آن ، ما احتمالاً ترجیح می دهیم رد پای کشاورزی راثابت نگه داریم و تنها در زمینهای مساعدتر کشت کنیم.
PROBLEM: أيمكنكم تخمين ما هذ... | در امتحان شاید من ۷۵ درصد نمره بگیرم شاید شما ۹۰ درصد نمره بگیرید شاید شما ۹۵ درصد بگیرید
| 8 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
0.1973133683204651,
0.6383212208747864,
0.23616811633110046,
-0.47609907388687134,
-0.8363357186317444,
0.03557288274168968,
1.4332860708236694,
0.974640429019928,
0.5784924626350403,
0.10085665434598923,
-1.3311567306518555,
0.6156494617462158,
-0.5130303502082825,
0.5410181283950806,
0... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Problem:Sentence 1: Deep scar... | fiction | 8 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-0.7570306658744812,
0.4050818085670471,
-0.509054958820343,
-0.5249955058097839,
-0.3872213065624237,
0.011517001315951347,
0.2596302628517151,
0.3604738414287567,
0.25230899453163147,
-0.21019159257411957,
-0.21808189153671265,
0.09113486111164093,
-1.096764326095581,
-0.0895913913846015... |
Instructions: The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrec... | by feed-through terminals or wires embedded in the glass. | 3 | NIv2 | task918_coqa_answer_generation | zs_opt | [
0.294026255607605,
1.1292561292648315,
-0.10940156877040863,
0.5216232538223267,
-0.2926085591316223,
-1.1810028553009033,
0.016539057716727257,
0.788323163986206,
-0.47347602248191833,
0.09350482374429703,
-0.07553180307149887,
0.31642791628837585,
-0.06712526082992554,
0.0047359187155961... |
You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option .
Q: Statement: মল্ল রাজবংশের ৪৯তম শাসক বীর হাম্বীর ১৫৮৬ সালে সিংহাসনে আরোহণ করেন। তিনি ছিলেন মুঘল সম্রাট আকবরের সম... | বৃন্দাবন | 4 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
-0.38088440895080566,
0.6744705438613892,
0.31692394614219666,
0.18990756571292877,
-0.2541104257106781,
-0.5777450799942017,
0.2916578948497772,
0.18043804168701172,
0.6172778606414795,
-0.28990668058395386,
-1.1848078966140747,
0.3218435049057007,
-0.6623677015304565,
0.02121559530496597... |
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