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 are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Q: Não havia recursos para as desenvolver.
A: | No había recursos allí para desarrollarlas. | 4 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.4598843455314636,
1.5299667119979858,
0.4095057249069214,
-0.8037495613098145,
-0.5647562146186829,
-0.1460821032524109,
0.325160413980484,
1.010486364364624,
0.7957865595817566,
-0.8357112407684326,
0.17363867163658142,
0.22524049878120422,
-0.31805700063705444,
0.22006863355636597,
... |
Given the task definition and input, reply with output. In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
A person's hands are seen opening a cap of... | D | 5 | NIv2 | task1389_hellaswag_completion | zs_opt | [
0.10204873979091644,
1.3923436403274536,
-0.6280428171157837,
-0.3394240736961365,
-0.7564711570739746,
-0.14765459299087524,
0.10660861432552338,
0.9023314714431763,
0.06246035918593407,
0.2399173080921173,
-0.06646480411291122,
0.12183986604213715,
0.6350426077842712,
-0.7042239904403687... |
We would like you to classify each of the following sets of argument pairs (discussing Gun Control) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FAC... | Not similar | 0 | NIv2 | task146_afs_argument_similarity_gun_control | zs_opt | [
-0.6415265798568726,
0.4001728892326355,
0.17534488439559937,
-0.20293556153774261,
0.02754221484065056,
-0.8831053972244263,
0.26919329166412354,
0.9863286018371582,
0.1963464766740799,
0.5320559740066528,
-0.6229740381240845,
0.06353189796209335,
-0.7314159870147705,
-0.03594475239515304... |
Instructions: In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Input: The position that has now been adopted aims to create more rapid ways of applying competit... | La posición ahora adoptada va encaminada a crear formas más expeditas y con menores costos de aplicación de la política de competencia, con lo que pasa a aplicarse el derecho comunitario en el nivel de los tribunales nacionales y no en el nivel del Tribunal de Justicia Europeo y se habla incluso de la posibilidad de tr... | 3 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
-0.3727435767650604,
0.6476604342460632,
0.2412497103214264,
-0.16373059153556824,
-0.13427671790122986,
-0.5025328397750854,
0.07677530497312546,
0.9490896463394165,
0.06544318795204163,
-0.06898362934589386,
-0.42824241518974304,
0.19366401433944702,
-0.747521162033081,
-0.15525889396667... |
Instructions: You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Input:... | force | 3 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
0.4022144377231598,
1.2324938774108887,
-0.0495147742331028,
-0.4478364884853363,
0.22026371955871582,
-0.7897874712944031,
0.6684048771858215,
0.8320945501327515,
0.10525336861610413,
-0.12839949131011963,
0.14212572574615479,
0.6365383863449097,
-0.3263779580593109,
-0.34152951836586,
... |
Given the task definition and input, reply with output. The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
name[xname], eattype[coffee shop], cuisine[Chinese], price[cheap], rating[average], locati... | xname is a coffee shop providing Chinese food in the cheap price range. It is located in the city centre. It is near xnear. Its customer rating is average. | 5 | NIv2 | task1598_nyc_long_text_generation | zs_opt | [
-0.6629122495651245,
0.6747409701347351,
-0.2945743203163147,
-0.1937517672777176,
-0.009811507537961006,
0.29724186658859253,
0.6863726377487183,
0.46999236941337585,
0.35745108127593994,
-0.6180374026298523,
0.19939616322517395,
-0.32878950238227844,
-0.21006762981414795,
0.0570473521947... |
Teacher: In this task, you need to count the occurrences of the given word in the given sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: 'the brown cat sits perched on atop of the bed peering forward'. Count the occurrences of the word 'the' in the given se... | 2 | 2 | NIv2 | task158_count_frequency_of_words | fs_opt | [
0.13210591673851013,
0.4514140784740448,
-0.2112448811531067,
-0.4343416690826416,
-0.18406981229782104,
-0.45252642035484314,
-0.5351953506469727,
0.7882949113845825,
0.11564275622367859,
0.19321981072425842,
-0.6398540735244751,
-0.2579084634780884,
-0.2541598081588745,
0.169427454471588... |
Given the task definition and input, reply with output. Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, locat... | shady activities | 5 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
-0.09414929151535034,
0.4699978828430176,
-0.4414086937904358,
-0.11761058866977692,
-0.03832069784402847,
0.18863484263420105,
0.07987654954195023,
0.2657954692840576,
0.16836395859718323,
-0.42202281951904297,
-0.42777085304260254,
0.0040973760187625885,
-0.3708658218383789,
-0.405702918... |
TASK DEFINITION: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
PROBLEM: Normalmente, una raíz encontrará fósforo por sí misma.
SOLUTION: Normally, a root will find phosphorus all by itself.
PROBLEM: Pero lo importante es, si es una herramienta de producción, ¿por qué... | But, who does the MIT professor go to?
| 8 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.2713780999183655,
0.0800928846001625,
-0.25451624393463135,
-0.18386439979076385,
-0.07197511196136475,
-0.9828252792358398,
0.4015851616859436,
0.41799142956733704,
0.3067691922187805,
-0.07495126128196716,
-0.6078801155090332,
0.15553759038448334,
-0.04595787078142166,
0.2935915887355... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Finnish 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 Finnish language. 2)... | "Niin, mutta nyt sanon teille ystävällisesti, että on kysymys hyvinkin vakavasta asiasta, ja että teille voi tulla ikävyyksiä, jos koetatte salata jotain. | 4 | NIv2 | task1650_opus_books_en-fi_translation | zs_opt | [
-0.9911669492721558,
0.8639514446258545,
0.2615460157394409,
-0.29600441455841064,
0.15503326058387756,
-0.756509006023407,
0.8621214628219604,
0.19413629174232483,
0.2903948724269867,
-0.6376264095306396,
-0.23570743203163147,
0.9077768325805664,
-1.5479905605316162,
0.7915278673171997,
... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Italian.
Beyond that, it's a part of our cultural identity, not just in America, but in Western societies and in democratic societies around the world.
A: | E inoltre, fanno parte della nostra identità culturale, non soltanto in America, ma in tutte le società occidentali e nelle società democratiche di tutto il mondo. | 7 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
0.15900608897209167,
0.7663236856460571,
0.4741464853286743,
0.5587153434753418,
-0.01923295669257641,
-0.57431960105896,
-0.4987771213054657,
0.4706902503967285,
0.28554120659828186,
-0.5179903507232666,
-0.05916857719421387,
0.4104465842247009,
-0.636721134185791,
-0.07895536720752716,
... |
Detailed Instructions: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
See one example below:
Problem: English: Details were given by the ... | Yes | 4 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.11454081535339355,
-0.15170589089393616,
0.4149025082588196,
0.37902969121932983,
-0.06940297782421112,
-0.5300460457801819,
-0.19640541076660156,
0.5111687183380127,
-0.7347483038902283,
0.04688367620110512,
0.16374239325523376,
0.7091348171234131,
0.24622419476509094,
0.38262462615966... |
Detailed Instructions: In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Problem:['v', 'y', '2645', '2253', 'c', '... | a, c, e, s, u, v, x, y | 8 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.4907485246658325,
0.2859438955783844,
-0.2824074625968933,
0.21453526616096497,
0.3596465289592743,
0.010324685834348202,
0.6873083114624023,
-0.02798948809504509,
-0.3665761351585388,
0.31831926107406616,
-0.47586673498153687,
-0.22640372812747955,
0.057542115449905396,
-0.393342524766... |
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.
One example ... | [9, 15, 193] | 9 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.3101305067539215,
0.20839723944664001,
-0.5663918256759644,
-0.6071994304656982,
0.26693323254585266,
-0.32056552171707153,
0.9760662317276001,
0.07552662491798401,
-0.7465968132019043,
0.24516060948371887,
-0.7382746338844299,
0.4088298976421356,
-0.2203197479248047,
-0.869032025337219... |
Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Text: 'but it's away over to the right-hand side' | English | 0 | NIv2 | task896_miam_language_classification | zs_opt | [
-0.04121050983667374,
1.429821491241455,
0.3123047649860382,
-0.30995944142341614,
-0.4053657352924347,
-1.0644471645355225,
-0.16533005237579346,
0.8916140794754028,
0.34936270117759705,
-0.10971073061227798,
-0.06559519469738007,
0.2356874644756317,
-0.2851857841014862,
-0.40659508109092... |
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.
Input: Question: Will found water from a source 10m from sh... | Most nutrients are washed into ocean water from land. Therefore, water closer to shore tends to have more nutrients. | 3 | NIv2 | task223_quartz_explanation_generation | zs_opt | [
-0.6007883548736572,
0.6821990013122559,
-0.04494521766901016,
-0.9600975513458252,
-0.652877926826477,
-1.1799544095993042,
0.7854429483413696,
0.5027663707733154,
0.27501380443573,
-0.1178201287984848,
0.0350809246301651,
0.15622444450855255,
-1.2953059673309326,
0.15751761198043823,
-... |
Instructions: An answer is given. Generate a question for which the given answer is either a direct or partial answer.
Input: Answer: coen brothers
Output: | who won the oscar for best direction in 2008? | 3 | NIv2 | task443_com_qa_ans_question_generation | zs_opt | [
0.07562607526779175,
1.5207979679107666,
-0.38904187083244324,
-0.33093392848968506,
-0.41865694522857666,
-0.04481320083141327,
0.5066124796867371,
-0.2491353452205658,
0.5350571870803833,
-0.8135015964508057,
-0.17753353714942932,
0.28070908784866333,
-0.908551812171936,
-0.4720180630683... |
Given the task definition and input, reply with output. 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). Perso... | Yes | 5 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.10047519952058792,
0.1683436930179596,
0.4981158375740051,
-0.13476982712745667,
-0.20536461472511292,
-0.7488606572151184,
0.8086169362068176,
0.7637919783592224,
-0.43219485878944397,
-0.44522202014923096,
-0.41700395941734314,
-0.06401278078556061,
-0.8227819800376892,
0.1328472495079... |
Instructions: In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain condit... | SELECT T1.gender , T2.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name ORDER BY T2.song_name Asc LIMIT 1 | 3 | NIv2 | task077_splash_explanation_to_sql | zs_opt | [
0.5821229219436646,
0.6523666977882385,
-1.2572815418243408,
1.0609657764434814,
-0.0035897125490009785,
-0.17651741206645966,
0.5084986090660095,
0.9706727266311646,
-0.5326956510543823,
0.583952784538269,
0.312942236661911,
0.28345227241516113,
0.06963194906711578,
0.15170516073703766,
... |
Given the task definition, example input & output, solve the new input case.
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.
Example: તેમણે અમેઠીમાં કલાશ્નિકોવ એસોલ્ટ રાયફલનુ ઉત્પાદન કરનાર સંયુક્ત સાહસ ... | وزیراعظم نے ملک کی وحدت اور سالمیت کو برقرار رکھنے اور تقسیم کرنے والی طاقتوں کو شکست دینے کے لئے اجتماعی ذمہ داری سے متعلق بات کی۔ | 1 | NIv2 | task1001_pib_translation_gujarati_urdu | fs_opt | [
-0.7490648031234741,
0.5915538668632507,
-0.1490456461906433,
-0.6939480304718018,
-0.08168845623731613,
0.24054700136184692,
0.6046603918075562,
0.20078280568122864,
-0.013998372480273247,
-0.4349850118160248,
-0.9777913093566895,
0.08586590737104416,
-0.3738495111465454,
-0.0763358324766... |
Detailed Instructions: 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.
Problem:2, ['D', '6045', '7393', 'z', 'z', '2661', '8571', 'p', '6007', 'S', '95', '8167', '4923']
Solution: | D, 7393, z, 8571, 6007, 95, 4923 | 8 | NIv2 | task1542_every_ith_element_from_starting | zs_opt | [
0.6948354840278625,
-0.03569503128528595,
-0.4462847113609314,
-0.7163729667663574,
-1.2246488332748413,
-0.22139346599578857,
0.5024126172065735,
-0.6040562391281128,
-0.41365301609039307,
-0.50246262550354,
-1.0565838813781738,
-0.515562891960144,
-0.17852434515953064,
-0.114175409078598... |
Instructions: 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.
Input: Question: 打棒球和其他运动一样，总是有风险的，什么？
Options: A 伤 B 错误 C 幸福 D 肌肉酸痛 E 趣味
Output... | A | 3 | NIv2 | task1141_xcsr_zh_commonsense_mc_classification | zs_opt | [
-0.34350618720054626,
0.07992292940616608,
-0.8617655038833618,
0.011323580518364906,
0.32401150465011597,
-0.06461938470602036,
0.5694445371627808,
0.39709118008613586,
0.4106423854827881,
-0.3210839629173279,
-0.5993267297744751,
0.5732265710830688,
0.7042025923728943,
-0.371341109275817... |
Definition: Given Sentence 1 and Sentence 2, indicate your answer as yes when the two sentences clearly agree or clearly disagree with each other. If the relationship cannot be determined, answer with 'no'.
Input: A woman in a black leather shirt trench-coat and black leather calf-high boots and carrying a colorful bag... | no | 2 | NIv2 | task642_esnli_classification | zs_opt | [
-0.609023928642273,
0.33186012506484985,
-0.26010972261428833,
0.4721951484680176,
0.08372094482183456,
0.0014294303255155683,
-0.006665173918008804,
0.6817631721496582,
0.2149546593427658,
0.0034693803172558546,
-0.0812956690788269,
-0.048745449632406235,
-0.34174972772598267,
0.117109589... |
Q: 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 answer obtainable, output 'none'.
Passage: SMS Kronprinzessin Erzherzogin Step... | Answer: from 28 July 1914 to 11 November 1918 | 7 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
0.4998895525932312,
0.629306435585022,
-0.43107765913009644,
-0.058046791702508926,
0.01986173912882805,
-0.6259446740150452,
1.1372385025024414,
0.5203766822814941,
0.365093469619751,
0.3138713240623474,
-0.4362008273601532,
0.38025224208831787,
-0.5926244258880615,
-0.020538074895739555,... |
You are given a statement written in Malayalam. 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: ഇന്ത്യൻ ഉപഭൂഖണ്ഡത്തിന്റെ തെക്കു പടിഞ്ഞാറ് കേന്ദ്രമാക്കി മലയാളം മുഖ്യഭാഷയായി ഉപയോഗിക്കുന്ന ജനവിഭ... | ഗംഗാനദിയുടെ
| 5 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
-0.04592224210500717,
0.9179568886756897,
0.0004402025369927287,
-0.44160962104797363,
0.3048531413078308,
-0.8391955494880676,
0.41895395517349243,
0.5501011610031128,
-0.11691205948591232,
0.24692900478839874,
0.4339278042316437,
0.18793663382530212,
-0.32070088386535645,
-0.495994716882... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a ... | red_crate | 0 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
0.15908169746398926,
0.05185115337371826,
-0.371734082698822,
-0.2178521752357483,
-0.36324313282966614,
-0.3753127455711365,
0.40426379442214966,
0.5667333006858826,
0.3254651427268982,
-0.6157097816467285,
-0.6540072560310364,
0.5062572956085205,
-0.043962858617305756,
-0.133486449718475... |
In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb,... | Art N Prep N | 4 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | zs_opt | [
-0.13307273387908936,
0.8393628597259521,
0.05097764730453491,
-0.11835286766290665,
-0.4328655004501343,
-0.031542230397462845,
0.6976202130317688,
-0.403204083442688,
0.3664727509021759,
-0.48976290225982666,
-0.3645457327365875,
0.6570801734924316,
-0.8114117980003357,
0.57058185338974,... |
You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
One example: For the school bake sale Bianca made 1... | 7 | 6 | NIv2 | task867_mawps_multiop_question_answering | fs_opt | [
0.6558362245559692,
0.622856855392456,
0.04821615293622017,
0.005121135618537664,
0.08499942719936371,
0.29777848720550537,
0.179634690284729,
0.5667667388916016,
-0.09908650815486908,
-0.343484103679657,
-0.13089603185653687,
0.4195677936077118,
-0.4697241187095642,
0.10176071524620056,
... |
Teacher: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,... | No | 6 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-0.3117777109146118,
0.8941932320594788,
-0.2187051773071289,
-0.0877854973077774,
0.0926322489976883,
-0.29842132329940796,
0.30760279297828674,
1.313654899597168,
0.12201180309057236,
-0.10974865406751633,
-0.28038841485977173,
-0.43341201543807983,
-0.49180611968040466,
-0.0704814940690... |
TASK DEFINITION: You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses... | No.
| 8 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.33775514364242554,
0.27655652165412903,
0.15535685420036316,
0.5125371217727661,
-0.14767810702323914,
-0.7963111400604248,
0.6802723407745361,
0.8614886999130249,
-0.11413803696632385,
0.12914827466011047,
-0.06599213182926178,
-0.10421690344810486,
-0.6392605304718018,
0.1232475489377... |
Detailed Instructions: In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
See one example below:
Problem: Who were the builders of the mosque in Herat with fire temples ?
Solution: Ghurids
Explanation: This is a g... | Texas Christian University | 4 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
-0.4783696234226227,
0.6787835359573364,
0.12589122354984283,
-0.47847825288772583,
-0.6911041736602783,
-0.6670044660568237,
0.5371010303497314,
0.139853835105896,
-0.19552701711654663,
-0.32489117980003357,
-0.2915516495704651,
0.036992210894823074,
-1.03545081615448,
-0.1211401820182800... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | She want(s) the grapes to stay fresh >Motivates> She puts the grapes in the fridge | 4 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.8615002632141113,
0.10841729491949081,
0.2460908591747284,
0.11360646039247513,
-0.5604085922241211,
-1.301504373550415,
0.5024684071540833,
0.540905773639679,
-0.3015497922897339,
-0.19178296625614166,
-0.6800888776779175,
-0.12887190282344818,
-0.22585529088974,
0.014433111064136028,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answe... | no | 1 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.093589186668396,
0.02344939112663269,
0.16204358637332916,
0.5858453512191772,
0.4850708544254303,
-1.0435340404510498,
0.05663391202688217,
0.3145674765110016,
0.21389831602573395,
0.3192422389984131,
-0.18743915855884552,
-0.35541045665740967,
0.08540080487728119,
-0.6034860610961914,... |
Instructions: 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; note that the... | ac | 3 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
-0.03461935743689537,
0.6543891429901123,
-0.16905149817466736,
0.09464028477668762,
-0.32368743419647217,
0.15489839017391205,
0.5474649667739868,
1.091505765914917,
-0.1509692221879959,
0.614162802696228,
-0.28164494037628174,
-0.2500806152820587,
-0.18593543767929077,
-0.228648453950881... |
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be ... | Is high T2-weighted signal intensity associated with elevated troponin T in hypertrophic cardiomyopathy? | 4 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.6715835332870483,
-0.31023022532463074,
-0.47570884227752686,
0.7675824165344238,
0.7863318920135498,
-0.818169891834259,
0.17503830790519714,
0.7033519148826599,
-0.39310330152511597,
0.41126948595046997,
-0.6130553483963013,
-0.27048176527023315,
-0.5248730778694153,
0.5196542739868164... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Input: Consider Input: A boy is riding a horse.
Output: Un băiat călărește.
Input: Consider Input: The two dogs are playing in the yard.
Output: Cei doi câini se joacă în curte.... | Output: Execuția islamistului din Bangladesh a fost susținută
| 2 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.2090405523777008,
0.8763386607170105,
-0.446897953748703,
-0.17299678921699524,
-0.6169396638870239,
0.08244290947914124,
0.31984466314315796,
1.0315206050872803,
0.5713029503822327,
-0.18278956413269043,
-0.60173100233078,
0.3076787292957306,
0.11512567102909088,
-0.5914021730422974,
... |
A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
Q: ଇନପୁଟ୍ ଏବଂ ଇନପୁଟ୍ ସେବା ସହ ଜଡ଼ିତ ଜିଏସଟିର ପୂର୍ଣ୍ଣ ଇନପୁଟ୍ ଟିକସ କ୍ରେଡିଟ୍ (ଆଇଟିସି) ନିମନ୍ତେ ସେବା ପ୍ରଦାନକାରୀ ଯୋଗ୍ୟ ହେବେ
A: | Indias commodity trade with Africa in 2015-16 was higher than our commodity trade with the United States of America. | 4 | NIv2 | task988_pib_translation_oriya_english | zs_opt | [
-0.5157067775726318,
0.7812596559524536,
-0.013816998340189457,
1.0670603513717651,
0.5663645267486572,
-1.1917245388031006,
-0.1989608258008957,
0.05596688389778137,
0.5700903534889221,
0.3294442892074585,
0.3857195973396301,
-0.6231955885887146,
0.2700883150100708,
0.41444963216781616,
... |
Teacher: In this task, you are given a question. You have to answer the question based on your information.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Roman Yakub won first price in a Choral Composition Competition at a liberal arts college founded by who?
Solution: Will... | 30 | 2 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
-0.022670404985547066,
0.5871442556381226,
0.5634149312973022,
-0.5902255773544312,
0.23843145370483398,
0.5528768301010132,
-0.22018080949783325,
0.27061498165130615,
0.789169430732727,
0.013778584077954292,
0.5687071084976196,
0.3038962781429291,
-1.0161211490631104,
-0.38103166222572327... |
Definition: 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.
Input: [107, 450, 771, 452, 852, -517, 605, 765, -421, -467, 428, 360, 187]
Output: | [110, 450, 770, 450, 850, -520, 600, 760, -420, -470, 430, 360, 190] | 2 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.8201961517333984,
0.49941474199295044,
-0.30570539832115173,
0.1361185908317566,
-0.4139857590198517,
-0.31608089804649353,
0.49192535877227783,
-0.025258658453822136,
-0.021551791578531265,
0.22641173005104065,
-0.8760502338409424,
0.0675647109746933,
-0.5353116989135742,
0.21139883995... |
You will be given a definition of a task first, then some input of the task.
This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a se... | POSITIVE | 1 | NIv2 | task1414_ajgt_twitter_ar_classification | zs_opt | [
-0.794784665107727,
-0.6243552565574646,
0.9577507972717285,
-0.17423418164253235,
-0.13344518840312958,
-0.7215868234634399,
0.8380742073059082,
-0.025602709501981735,
0.2773543894290924,
0.31463560461997986,
-0.4337771534919739,
-0.19949856400489807,
-0.24676629900932312,
0.0968560427427... |
Part 1. Definition
A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
Part 2. Example
विधेयक में जमाराशि लेने वाले और जमाराशि को विस्तार से परिभाषित किया गया है।
Answer: డిపాజిట్ మరియు డిపాజిట్లు బిల్లులో నిర్... | ప్రధాన మంత్రి శ్రీ నరేంద్ర మోదీ ఆధ్వర్యంలో సమావేశమైన కేంద్ర కేబినెట్ ఈ నిర్ణయం తీసుకుంది. | 7 | NIv2 | task1045_pib_translation_hindi_telugu | fs_opt | [
0.522519588470459,
0.4164336323738098,
0.18067044019699097,
-0.053447507321834564,
-0.1536657214164734,
-0.5075294971466064,
0.6360176205635071,
0.5711020231246948,
-0.394384503364563,
0.0700477659702301,
-0.45909470319747925,
-0.216867133975029,
-0.4414331018924713,
0.36938798427581787,
... |
Instructions: You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not... | 12, 13, 16. | 3 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.4901428818702698,
0.1605590581893921,
-0.508129894733429,
-0.3851262331008911,
0.4360978603363037,
-0.39420247077941895,
0.45475542545318604,
0.7688217163085938,
-0.3587718605995178,
0.4235106110572815,
-0.5562108159065247,
-0.35770183801651,
-0.8607395887374878,
-0.19600778818130493,
... |
Part 1. Definition
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
Part 2. Example
M: I am considering... | $10. | 7 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
0.2235562801361084,
-0.12435310333967209,
-0.29011833667755127,
-0.44163453578948975,
0.5190170407295227,
-0.18244117498397827,
0.8360224962234497,
0.5818333029747009,
0.18247157335281372,
-0.17578908801078796,
-0.7233537435531616,
-0.12949566543102264,
-0.34011489152908325,
-0.13421463966... |
Given the task definition and input, reply with output. 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.
['5007', 'w', '3335', '9039', '6155', '8971', 'u', '4179', 'Q', '3337', '1075', '1407', 'L', '3709']
| 46214 | 5 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
-0.8937667608261108,
1.1853480339050293,
-0.5490610599517822,
-0.8727637529373169,
-0.5567190647125244,
0.2863662838935852,
0.17583954334259033,
-0.2695956826210022,
-0.18816155195236206,
-0.05186033248901367,
-0.1226406991481781,
0.5446377396583557,
0.29560619592666626,
0.1341836154460907... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
A movie that sends you out of the thea... | POS | 1 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-0.6995201110839844,
0.28013038635253906,
0.038077544420957565,
0.21262529492378235,
0.2860109210014343,
-0.5156909227371216,
1.095883846282959,
0.422826886177063,
0.4335067570209503,
0.21570390462875366,
-0.32488423585891724,
-0.5930570363998413,
-0.19395644962787628,
0.08959051221609116,... |
Detailed Instructions: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Problem:Which British male athlete won an olympic gold medal in London 2012, at age 24 winning the Triathlon event ?
Solution: | alistair brownlee | 8 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
-0.18099075555801392,
0.7054181694984436,
-0.7613434195518494,
-1.3908816576004028,
-0.45614272356033325,
-0.10450692474842072,
0.12255948781967163,
0.24869239330291748,
0.15738768875598907,
-0.7156075239181519,
-1.21746826171875,
1.6164300441741943,
-1.0969160795211792,
-0.338605254888534... |
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
Input: Consider Input: پَنیر یکی از گونههای لبنیات است که بهطور گستردهای در صدها نوع مختلف، از شیر تهیه میشود. پنیر را از دَلَمَهشدن شیر، معمولاً شیر گاو، گاو... | Output: باشگاه فوتبال ایتالیایی است که در شهر ناپل قرار دارد.
| 2 | NIv2 | task395_persianqa_answer_generation | fs_opt | [
0.5267200469970703,
0.4705360233783722,
-0.5234799981117249,
1.4150362014770508,
0.06400875747203827,
0.6188865900039673,
0.4445842504501343,
0.9348872900009155,
0.2057543396949768,
0.25143611431121826,
-0.4575640559196472,
0.8366526365280151,
-0.7554030418395996,
0.3994244635105133,
0.4... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns wheth... | Output: select the row whose total record of all rows is 2nd maximum . the party record of this row is conservative .
| 2 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.24795645475387573,
-0.19147570431232452,
-0.3111766576766968,
0.27794450521469116,
0.2772875428199768,
-0.6931566596031189,
0.5311657190322876,
0.38344812393188477,
0.1829773485660553,
-0.2504117488861084,
-0.32442063093185425,
0.10424995422363281,
0.2350529432296753,
0.4158947169780731,... |
Definition: In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Input: Article: She's not afraid of anything. Snakes... | SM dares to walk alone in the dark mainly because _ . | 2 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.45024025440216064,
0.25961366295814514,
-0.09620840102434158,
0.19096247851848602,
0.08481168746948242,
-0.43159204721450806,
0.8587656021118164,
0.35675346851348877,
0.02676866576075554,
-0.10947565734386444,
-0.37989383935928345,
1.0852006673812866,
-1.0603327751159668,
0.0182430036365... |
Definition: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i a... | 21137 | 2 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
-0.05509215220808983,
0.14637702703475952,
-0.7531827092170715,
-0.6527437567710876,
0.14287838339805603,
0.059224847704172134,
0.26215025782585144,
-0.20276659727096558,
-0.15126490592956543,
0.01873367466032505,
-0.7667177319526672,
0.48036855459213257,
0.4274660348892212,
-0.34388148784... |
Given the task definition and input, reply with output. Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classificat... | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF'... | 5 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
-0.25126516819000244,
-0.33257830142974854,
-0.05991171672940254,
-0.12674951553344727,
0.23312808573246002,
-0.19923825562000275,
0.07868249714374542,
0.7265912294387817,
-0.4720953702926636,
0.009180104359984398,
-0.3572441041469574,
-0.3553641140460968,
-0.13003455102443695,
-0.34842723... |
Q: In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Reviews: Decent treadmill for beginners; it's very small ... | False | 7 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.42105185985565186,
0.06301143765449524,
-0.30398693680763245,
-0.5474625825881958,
0.019347067922353745,
-0.22307735681533813,
0.7150338888168335,
0.8217552900314331,
-0.37015339732170105,
0.4553753733634949,
-0.6435353755950928,
-0.3809301555156708,
-0.6201751232147217,
0.0444351248443... |
Detailed Instructions: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
See one example below:
Problem: I've read this book with much expectation, it was very boring all through out the book
Solution: Negative
Explanation: Review writer does not like the bo... | Positive | 4 | NIv2 | task493_review_polarity_classification | fs_opt | [
0.15532606840133667,
-0.07257412374019623,
0.6886692047119141,
-0.390715628862381,
0.6802421808242798,
-0.4408590793609619,
1.2402946949005127,
0.10050051659345627,
0.8441190123558044,
0.5310080647468567,
-0.10800240933895111,
-0.3792000412940979,
-1.0783971548080444,
0.039922766387462616,... |
Detailed Instructions: 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 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
See one example ... | entails | 4 | NIv2 | task1554_scitail_classification | fs_opt | [
0.8495010733604431,
0.27752286195755005,
-0.4089268445968628,
-0.290336012840271,
-0.6587896347045898,
-0.9440152645111084,
-0.3971022963523865,
0.9719324707984924,
0.10659709572792053,
-0.29833322763442993,
-1.2337024211883545,
-0.5685360431671143,
-0.5675150752067566,
0.07718542218208313... |
Detailed Instructions: Convert a disfluent question to a proper question. 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.
Q: Inflammation occurs during wake no I actually meant sleep times because of what m... | Inflammation occurs during sleep times because of the presence of what molecule? | 9 | NIv2 | task1622_disfl_qa_text_modication | zs_opt | [
0.733299732208252,
0.5315332412719727,
-0.3103798031806946,
-0.5174065828323364,
-0.5310603976249695,
-0.43081510066986084,
0.3520646393299103,
0.8917583227157593,
0.1953851878643036,
0.2074163556098938,
-0.49237024784088135,
-0.5334489345550537,
-1.1779406070709229,
0.3953994810581207,
... |
Given the task definition and input, reply with output. In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a... | Fill clean, empty milk jugs with water and freeze it before leaving on your camp trip. Add the jugs to your cooler | 5 | NIv2 | task080_piqa_answer_generation | zs_opt | [
-0.08898834884166718,
1.0680747032165527,
-0.20801666378974915,
0.36969730257987976,
-0.48708203434944153,
0.0018824184080585837,
-0.41557741165161133,
-0.07041507959365845,
0.04818157106637955,
-0.20400342345237732,
-0.452775776386261,
-0.0019761985167860985,
-0.4203668236732483,
0.166823... |
Instructions: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answe... | After the show the guy asked them out . | 3 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
0.30935734510421753,
1.084061861038208,
-0.45774146914482117,
-0.0661747008562088,
-0.36686429381370544,
-0.3347615897655487,
0.029304971918463707,
0.4848892092704773,
0.150734543800354,
0.07353533804416656,
-0.03169538080692291,
0.054920125752687454,
-0.13179513812065125,
0.00202422495931... |
In this task, you will be given text in English. You need to translate the text into the Sinhali language.
Let me give you an example: When ventricles systole, blood flows to the pulmonary artery or the greater aorta.
The answer to this example can be: කෝෂිකා ඉහිල්වන විට, ධමනියේ සිට කෝෂිකාව වෙත රුධිරය නරවත ගලයි.
Here... | තුවාලයන් බොහොමයක් අතර පොදු කාරණයක් වන්නේ අලුත්වැඩියාවට සහ නැවත ප්රකෘති ස්වභාවයට පැමිණෙන්නට කාලයක් නොදී සුවිශේෂී මාංශ පෙෂියක් නැවත නැවත භාවිතා කිරීම හේතුකොටගෙනය. . | 8 | NIv2 | task604_flores_translation_entosn | fs_opt | [
-0.3406358063220978,
0.5467603802680969,
0.2330867201089859,
-0.16656294465065002,
-0.09047986567020416,
-1.389397382736206,
0.26444846391677856,
0.6380190849304199,
0.07527860254049301,
0.16460439562797546,
0.5215686559677124,
0.05690588802099228,
-0.5999874472618103,
0.41631531715393066,... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Q: There is a wood and stone vanity with one sink and a shelf below the vanity top in a bathroom.
A: | એક સિંક અને બાથરૂમમાં ગૌરવની ટોચ નીચે શેલ્ફ સાથે લાકડું અને પથ્થરની વ્યર્થતા છે. | 9 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | zs_opt | [
0.10185307264328003,
0.9162356853485107,
-0.5795865058898926,
-0.4717363715171814,
0.4292778968811035,
-0.7730792760848999,
-0.10767260193824768,
-0.37759432196617126,
-0.3130990266799927,
-0.5267598628997803,
0.6206581592559814,
0.1747726947069168,
-1.1123907566070557,
-0.1810571849346161... |
Detailed Instructions: You are given a statement written in Telugu. 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 .
Problem:Statement: సమీప బాలబడి, ప్రాథమిక పాఠశాల <MASK>, ప్రాథమికోన్నత పాఠశాల భాగీరధిపురం|భాగ... | హీరమండలంలోను | 8 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | zs_opt | [
0.49348577857017517,
0.7111814022064209,
0.4473189115524292,
-0.22244352102279663,
0.24229282140731812,
-1.3794914484024048,
-0.5079104900360107,
0.7468538284301758,
0.25123849511146545,
-0.29487475752830505,
-0.5057476162910461,
-0.5699814558029175,
-0.09890803694725037,
0.021563220769166... |
Detailed Instructions: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Q: Context: Gree... | yes | 9 | NIv2 | task241_tweetqa_classification | zs_opt | [
-0.9840753078460693,
0.048329323530197144,
-0.023743178695440292,
0.8223122954368591,
0.17050406336784363,
-0.2034384310245514,
-0.6574309468269348,
0.4103524386882782,
0.11416454613208771,
0.7645097970962524,
-0.02954125963151455,
-0.7401920557022095,
-0.25681737065315247,
0.2347774356603... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Let me give you an example: Sentence: 'the street light is green in the city'. How many words end with the letter 't' in the sentence.
The answer to this example can be: 2
Here is why: T... | 2 | 8 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.36252161860466003,
0.8747102618217468,
-0.296713650226593,
-0.6788842678070068,
-0.017970483750104904,
-0.0515633299946785,
-0.09596946835517883,
0.4008707106113434,
0.18889908492565155,
-0.08091233670711517,
-0.4130067527294159,
0.2373892068862915,
-0.14928877353668213,
-0.035705916583... |
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.
One example is below.
Q: System Reference: x is a reasonably priced fast food rest... | 0 | 9 | NIv2 | task1186_nne_hrngo_classification | fs_opt | [
-0.6638294458389282,
0.8496275544166565,
-0.5144340991973877,
-0.1825224608182907,
-0.4796333909034729,
-0.7384752035140991,
0.8409603238105774,
0.9374783635139465,
0.11624113470315933,
-0.18069981038570404,
-0.42236220836639404,
-0.0849502757191658,
-0.9139119386672974,
-0.470700502395629... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Les daremos un examen... sin computadoras, nadie habla con nadie, etc "". La nota promedio cuando lo había hecho con la computadora y en grupo era de 76%. | We'll give them a paper test — no computers, no talking to each other, etc. "" The average score when I'd done it with the computers and the groups was 76 percent. | 0 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.92801833152771,
1.1046767234802246,
-0.01659999042749405,
-0.9321253299713135,
-0.38668394088745117,
-0.16365104913711548,
0.4358808994293213,
1.240017056465149,
0.3738301992416382,
-0.17504341900348663,
0.029098190367221832,
-0.11124226450920105,
-0.1391402781009674,
-0.017558645457029... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Let me give you an example: מה מייחד את המוח האנושי?
The answer to this example can be: 人の脳の何がそんなに特別なのでしょうか ？
Here is why: The Hebrew sentence is correctly translated into Japanese. They both refer to the human brain.
OK. ... | 近年子供の88人に１人が自閉症と診断されていますが疑問なのはなぜグラフがこのような形になるのかです | 8 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.4274352192878723,
0.4238545894622803,
0.24009265005588531,
-0.8843371272087097,
-0.45823973417282104,
-0.5047252178192139,
0.6704974174499512,
-0.5825796127319336,
0.8778976798057556,
-0.8086010217666626,
-0.8074076771736145,
0.358201801776886,
-0.8089635968208313,
0.8383904695510864,
... |
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.
Example: ['238', 'h', '92', 'U', '2799']
Example solution: 3129
Example explanation: Here, the numbers in the input list are '238', '92' and '2799', hence their sum (238+92+2799) is 3129.... | Solution: 14520 | 5 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.41748329997062683,
0.30543023347854614,
-0.6339991092681885,
-0.5191417932510376,
0.07218854129314423,
-0.07244493067264557,
0.060561131685972214,
0.15669137239456177,
-0.4288164973258972,
-0.10469882190227509,
-0.982042670249939,
-0.06808847934007645,
0.18449994921684265,
-0.0813891440... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Example Input: 山のような悲しみの存在は動かしようがなくあれこれしても結局私たちはそこにひざまずきます
Example Output: יש הרים של צער שלא יכול לזוז, ובדרך זו או אחרת, כולנו כורעים ברך שם.
Example Input: この町がそれを何とかしようとしているよ」というものでしたみんなが我々を助けてくれて大勢の人をウェブサイトに導いてくれました... | אז הרעיון הוא שאנחנו מקבלים את המהירות והיעילות של שימוש בממשקים הפיסיים האלה יחד עם הגמישות והרבגוניות של מערכת שמתוכננת בתוכנה.
| 3 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
0.08165492117404938,
0.04733906686306,
0.06150183826684952,
-0.3070700764656067,
-0.004331966396421194,
0.11553981900215149,
1.2265732288360596,
0.07368236780166626,
0.08630877733230591,
-0.9678319692611694,
-0.5366527438163757,
0.6325724720954895,
-0.510429859161377,
0.20021232962608337,
... |
Given a sentence in Russian, generate a new Russian 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... | Хороший смысл может привести науку к опыту. | 4 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.429543673992157,
1.0227035284042358,
0.21995291113853455,
-1.3071813583374023,
-0.8992816209793091,
-0.29464083909988403,
0.28730249404907227,
0.9651296734809875,
0.28536102175712585,
-0.6082256436347961,
-1.3999075889587402,
0.10660058259963989,
-0.377155601978302,
0.42207908630371094,... |
Q: In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
A rodeo area with men in cowboy hats, rodeo clowns and an audience in the stands.
A: | કાઉબોય ટોપી, રોડીયો જોકરો અને સ્ટેન્ડ્સમાં પ્રેક્ષકોમાં પુરુષો સાથે રોડીયો વિસ્તાર. | 7 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | zs_opt | [
0.36109668016433716,
0.7506785988807678,
-0.2621995508670807,
-0.7595388889312744,
-0.4944992959499359,
-0.571872353553772,
-0.2273871749639511,
-0.0849340483546257,
0.4324992895126343,
-0.7544673681259155,
-0.865372359752655,
0.006474816240370274,
-0.676013708114624,
-0.016915539279580116... |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
では、発展途上国の巨大都市を「明るくグリーンな」巨大都市にするにはどうすればいいのか ？
A: | Así que ¿qué debemos hacer para que las megaciudades de los países en desarrollo sean megaciudades Verdes Brillantes? | 7 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-1.511061429977417,
0.4375205636024475,
0.31395629048347473,
-0.9915285110473633,
-0.8066224455833435,
-0.6317651271820068,
-0.2066555917263031,
0.6380785703659058,
0.24832409620285034,
-0.6166318655014038,
-0.07246145606040955,
0.627021312713623,
-0.6796278953552246,
-0.008382601663470268... |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post co... | OFFENSIVE
| 6 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-1.3089733123779297,
0.6601186394691467,
0.44070863723754883,
0.03322982043027878,
-0.26351219415664673,
-0.785059928894043,
0.36664095520973206,
0.6314412355422974,
0.6438795328140259,
0.3698289096355438,
-0.37920331954956055,
-0.2520524263381958,
-0.259557843208313,
-0.7420716285705566,
... |
Teacher:Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given ... | Some. | 6 | NIv2 | task054_multirc_write_correct_answer | zs_opt | [
0.4396972060203552,
0.7029933333396912,
-0.5097853541374207,
-0.48140525817871094,
0.6314098238945007,
-0.8810572624206543,
0.24111780524253845,
1.1870250701904297,
-0.11542490124702454,
-0.23726975917816162,
-0.5025945901870728,
0.5495953559875488,
-0.23254719376564026,
-0.835117816925048... |
Given the task definition and input, reply with output. You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your label... | No emotion,surprise,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion | 5 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.44805675745010376,
0.5499271154403687,
0.3526012897491455,
-0.040396079421043396,
-0.1811407208442688,
0.0772126317024231,
0.6243394613265991,
0.2510567903518677,
0.27442866563796997,
-0.15956372022628784,
-0.8908358812332153,
-0.17443901300430298,
-0.27685078978538513,
0.22167091071605... |
In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Q: Question: Among the following, the first precursor cell of neutrophil granulocytes is:
Options... | psychology
****
| 4 | NIv2 | task1434_head_qa_classification | fs_opt | [
0.18530891835689545,
-0.19043409824371338,
-0.3817657232284546,
-0.16838550567626953,
0.046527568250894547,
-0.9008207321166992,
0.136093869805336,
0.703027069568634,
0.12680606544017792,
0.2828352749347687,
-0.3182811737060547,
-0.2144189178943634,
-1.0391383171081543,
0.14062687754631042... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo... | [68, 136, -171, 6, 357, 53, -206, 44] | 6 | NIv2 | task122_conala_list_index_addition | fs_opt | [
0.3508199453353882,
-0.021014250814914703,
-0.7824918627738953,
-0.3391571044921875,
0.30455654859542847,
0.14872096478939056,
0.7916828989982605,
0.9344682097434998,
-0.31133776903152466,
-0.1393369883298874,
-0.5609976053237915,
0.11689624190330505,
-0.3250550627708435,
-0.35999122262001... |
Given the task definition and input, reply with output. 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.
Taxonomists recognize up to ____ species of burdock.
| eight | 5 | NIv2 | task1359_numer_sense_answer_generation | zs_opt | [
-0.8340611457824707,
0.7120378613471985,
0.298323392868042,
-0.20303718745708466,
-0.09482024610042572,
0.2480015605688095,
0.8095189929008484,
-0.1926240622997284,
0.11706843227148056,
-0.7544542551040649,
-0.20274196565151215,
-0.07968248426914215,
-0.40452730655670166,
-0.10896603763103... |
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 context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only o... | C | 0 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
0.3744613528251648,
0.16186264157295227,
0.1228242814540863,
0.5191716551780701,
0.02103753760457039,
-0.6152001619338989,
0.5665500164031982,
0.7835177779197693,
-0.1463795006275177,
0.16463257372379303,
-0.3951335549354553,
0.24254867434501648,
0.05119481682777405,
-0.25249093770980835,
... |
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's the correct sub... | True
| 3 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.5967033505439758,
0.3219303488731384,
-0.38232603669166565,
-0.05009797215461731,
-0.48510468006134033,
-0.3227037191390991,
0.9459723234176636,
0.48048168420791626,
0.4960525333881378,
0.32981276512145996,
-0.765372097492218,
-0.13915075361728668,
-0.760183572769165,
0.0526448711752891... |
Detailed Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Problem:@iawa uh, and a certain person coming to visit? lol. Thanks for contact storing earlier
Solution: | positive | 8 | NIv2 | task195_sentiment140_classification | zs_opt | [
-1.1090384721755981,
0.5343999862670898,
0.6661590337753296,
0.14153973758220673,
0.264518678188324,
-0.7593976259231567,
-0.12821649014949799,
0.10506163537502289,
0.1563611626625061,
0.6836906671524048,
-0.34387531876564026,
0.036104537546634674,
-0.10769467055797577,
-0.4606621265411377... |
Q: A text is given in Marathi. Translate it from the Marathi language to the Tamil language. The translation must not omit or add information to the original sentence.
எஃப். ஐ 2017 –ல், பிரிக்ஸ் மண்டலத்தின் அங்கமான பிரிக்ஸ் திரைப்பட தொகுப்பில் விருது பெற்ற 7 திரைப்படங்களும் திரையிடப்படும்.
A: | ब्रिक्स विभागात ब्रिक्सअंतर्गत सात पारितोषिक विजेते चित्रपटही इफ्फी 2017 मध्ये रसिकांना पाहता येतील. | 7 | NIv2 | task1084_pib_translation_tamil_marathi | zs_opt | [
-0.7922843098640442,
0.606541097164154,
0.29593583941459656,
0.5519624352455139,
0.2014031708240509,
-0.9553040862083435,
0.4655193090438843,
0.391701340675354,
0.5311772227287292,
-0.12011712789535522,
-0.3129956126213074,
0.740240216255188,
-1.0965309143066406,
0.42168331146240234,
-0.... |
You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
58 children are taking a bus to the zoo . They sit 2 children in every seat . How many ... | 29 | 0 | NIv2 | task866_mawps_multidiv_question_answering | zs_opt | [
0.33321499824523926,
0.33136269450187683,
-0.512033224105835,
-0.3566821813583374,
-0.9402804970741272,
0.7722470760345459,
0.3298518657684326,
0.026119694113731384,
-0.038399528712034225,
-0.43778905272483826,
-0.34740033745765686,
-0.21263271570205688,
0.28290051221847534,
0.031583040952... |
Teacher:In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitical and... | Personal | 6 | NIv2 | task1494_bengali_hate_speech_classification | zs_opt | [
-0.32182225584983826,
0.2254512906074524,
0.16569466888904572,
0.30272430181503296,
-0.10546957701444626,
-0.4741584062576294,
-0.36206620931625366,
0.06339329481124878,
-0.4342254400253296,
-0.032002728432416916,
0.09963864088058472,
0.017452292144298553,
0.02186572551727295,
-0.568151116... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
[EX Q]: 大英帝国内の5名の女性の遺体が英国東部のサフォーク郡の中や周辺で発見された。
[EX A]: សាកសពស្រ្តីប្រាំនាក់ក្នុងចក្រភពអង់គ្លេសត្រូវបានគេរកឃើញក្នុងស្រុកនៃស៊ូហ្វកភាគខាងកើតនៃប្រទេស... | ព្រឹត្តិប័ត្ររបស់អាយឌីអឹម ដែលមានពត៌មានពិតប្រាកដអំពីតំបន់ដែលបានព្យាករទុកមុនពីកំលាំងនិងចលនារបស់ស៊ីក្លូន រួមទាំងស្ថានភាពទឹកសមុទ្រ និងកម្រិតអតិបរមានៃល្បឿនខ្យល់ជុំវិញតំបន់ដែលអាចមានស៊ីក្លូន។
| 6 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.4558921456336975,
0.046721525490283966,
-0.4026608467102051,
-0.8746989965438843,
0.38949018716812134,
-0.6553279757499695,
0.3582291901111603,
0.3876069188117981,
-0.1421312391757965,
-0.5182032585144043,
-0.5823391675949097,
0.6370556950569153,
-1.136968731880188,
0.42050305008888245,... |
Q: In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Recent research has shown that one can train a neural network with binary weights and activations at train time by ... | Recent successes of Binary Neural Networks can be understood based on the geometry of high-dimensional binary vectors | 7 | NIv2 | task668_extreme_abstract_summarization | zs_opt | [
0.32958924770355225,
0.26235514879226685,
-0.26006942987442017,
-0.37513232231140137,
0.06858552992343903,
-0.11811033636331558,
0.25171059370040894,
0.7417653799057007,
0.27284926176071167,
0.08914066106081009,
-0.5938292741775513,
0.4256840944290161,
-0.5426238179206848,
0.29891979694366... |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
What title did the Western New York Militia no the Sioux give Johnson? | What title did Sioux give Johnson? | 0 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
0.23730486631393433,
1.1634294986724854,
0.14565932750701904,
-0.09324691444635391,
0.34727710485458374,
-0.6960979104042053,
0.5031602382659912,
0.39896270632743835,
1.141955018043518,
0.5406948328018188,
0.4359327554702759,
-0.5796600580215454,
-1.5857110023498535,
0.17455798387527466,
... |
Instructions: In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an... | [-213, -113, -16, -212, 79, 136, -140, 28] | 3 | NIv2 | task122_conala_list_index_addition | zs_opt | [
0.11978072673082352,
-0.36839812994003296,
-0.7272169589996338,
-0.3313184678554535,
0.02988334558904171,
-0.2490704208612442,
0.6592739820480347,
0.6411781907081604,
-0.3280196189880371,
-0.021396027877926826,
-0.7012441158294678,
-0.0011001601815223694,
-0.0677412822842598,
-0.1114374473... |
instruction:
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
question:
Sirtuin 3 (Sirt3), one of the seven Sirtuins family members, plays critical rol... | 0
| 9 | NIv2 | task848_pubmedqa_classification | fs_opt | [
0.224592924118042,
0.29358431696891785,
-0.3969513177871704,
0.6681114435195923,
1.2329375743865967,
-0.965179443359375,
0.8557934761047363,
0.5753690004348755,
0.3003782033920288,
0.6610225439071655,
-0.29374057054519653,
0.349809467792511,
-0.5762462019920349,
0.03356717526912689,
0.02... |
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 English language, your task is to convert it into the Malay language.
In an escalating controversy that has contributed to Italian Prime Minister Silvio Berlusc... | Ribut itu telah pun diturunkan kepada status Kategori 1. | 0 | NIv2 | task553_alt_translation_en_ma | fs_opt | [
-0.4732029438018799,
-0.006888281553983688,
-0.42879748344421387,
-0.3939545750617981,
-0.24520698189735413,
0.36814194917678833,
1.248643398284912,
0.5704435110092163,
0.24978633224964142,
-0.14927086234092712,
-0.6201221942901611,
0.4395439326763153,
0.010134070180356503,
0.9194876551628... |
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
... | Someone who is comfortable being in nature . | 4 | NIv2 | task595_mocha_answer_generation | zs_opt | [
0.11745616048574448,
0.45413607358932495,
-0.2583277225494385,
0.09927716851234436,
-0.7021756172180176,
-0.4519116282463074,
0.823223352432251,
0.17083817720413208,
-0.5918086767196655,
-0.368949830532074,
-0.1927446573972702,
-0.5025114417076111,
-1.0177081823349,
-0.02351287007331848,
... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
See one example below:
Problem: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
Solution: אתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא א... | אנו כבר יודעים איך זה מתפתח. | 4 | NIv2 | task1269_ted_translation_fa_he | fs_opt | [
-1.1784398555755615,
0.6781511306762695,
-0.07673845440149307,
0.3969576358795166,
-0.6726801991462708,
-0.4635844826698303,
0.6527124643325806,
-0.1198369711637497,
0.6965200901031494,
0.09661941230297089,
-0.8559504747390747,
0.8568536043167114,
-0.6716306209564209,
-0.006233967840671539... |
Given the task definition and input, reply with output. This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and sem... | [['normativa vigente', 'RESULT', 'out']] | 5 | NIv2 | task1410_dart_relationship_extraction | zs_opt | [
-0.9488283395767212,
0.38495224714279175,
0.03433297574520111,
-0.02543950267136097,
-0.5224358439445496,
0.34659236669540405,
0.7552464604377747,
0.08684270828962326,
0.2627294659614563,
-0.9424481391906738,
-1.3441317081451416,
-0.11016105860471725,
-0.3327038884162903,
0.202560901641845... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Steaming ought to be faster.
Cozinhar a vapor deveria ser mais rápido.
They were armed with mobile phones.
Estavam armados com telemóveis.
Once, Antoine de Saint-Exupéry wrote, "" If you want to build a ship, don't dru... | Antoine de Saint-Exupéry escreveu um dia: "" Se queremos construir um navio, "" não peçam às pessoas para juntar madeira "" e não lhes atribuam tarefas. "Ao invés disso ensinem-nas a desejar a imensidão sem fim do mar..." Enquanto cientista e professor, gosto de parafrasear isto para mostrar que nós cientistas precisam... | 0 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
0.07617273926734924,
0.3888387978076935,
-0.37594032287597656,
-0.9243707060813904,
-0.5319675207138062,
-0.9988112449645996,
-0.5678285360336304,
0.48231321573257446,
-0.2585739493370056,
0.3709457516670227,
0.23854190111160278,
-0.06259491294622421,
-0.8997482061386108,
-0.76893454790115... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Example input: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Example output: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیق... | رشته من چیز دیگریست و موقتا روانشناسی کار میکنم ، و چیز کلی ای که مرا علاقمند کرد بحث اخلاقی قضیه بود | 3 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.4339144825935364,
0.29426974058151245,
-0.18051543831825256,
-0.11116233468055725,
-0.34472352266311646,
-0.23138168454170227,
0.3160608112812042,
0.4164235293865204,
-0.2587478756904602,
-0.423710435628891,
-0.35105249285697937,
0.31569603085517883,
-0.4528598189353943,
-0.225115120410... |
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 entity, then retur... | None | 3 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | fs_opt | [
-0.010449890047311783,
-0.09066490828990936,
-0.07332455366849899,
-0.08915705978870392,
-0.3371800184249878,
-0.1820710450410843,
0.7346385717391968,
-0.2883925139904022,
0.8564602136611938,
-0.16729852557182312,
-0.6061843633651733,
0.7106914520263672,
-0.7929106950759888,
0.481276571750... |
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 to be 1. Return -1 if no numerical element is in the list.
--------
Question:... | 2, 4
| 7 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.38142457604408264,
0.13584193587303162,
-0.33847057819366455,
-0.7546355724334717,
-0.22077739238739014,
-0.4960640072822571,
0.9784144163131714,
0.4290310740470886,
-0.8166549205780029,
0.2662597894668579,
-0.7182790040969849,
0.041777562350034714,
-0.17835600674152374,
0.0849832147359... |
A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
Q: ખુર્જા પ્લાન્ટ ઉત્તર ભારતનાં વિસ્તારો, ખાસ કરીને ઉત્તરપ્રદેશની વીજળીની ખાધની સ્થિતિમાં પરિવર્તન કરશે તેમજ ઉત્તરાખંડ, રાજસ્થાન, હિમાચલપ્રદેશ અને દિલ્હી... | खुर्जा संयंत्र से बिजली की कमी झेल रहे उत्तरी क्षेत्र को लाभ मिलेगा। इस संयंत्र से विशेषकर उत्तर प्रदेश तथा उत्तराखंड, राजस्थान, हिमाचल प्रदेश और दिल्ली को लाभ मिलेगा। | 4 | NIv2 | task1033_pib_translation_gujarati_hindi | zs_opt | [
-0.5534230470657349,
0.7280587553977966,
0.3864523768424988,
-0.6166956424713135,
-0.724879801273346,
-1.1677451133728027,
-0.18684136867523193,
0.22949084639549255,
-0.10388243198394775,
-0.28320080041885376,
-0.7300134301185608,
-0.4738508462905884,
-0.4466196894645691,
0.163498207926750... |
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
... | Groceries
| 0 | NIv2 | task595_mocha_answer_generation | fs_opt | [
0.8919661045074463,
0.5750442743301392,
-0.2214827835559845,
-0.10640567541122437,
-0.22591018676757812,
-0.27978459000587463,
0.3257421851158142,
0.6346772909164429,
-0.11112380027770996,
0.10573376715183258,
-0.7045391798019409,
-0.16532427072525024,
-0.6148770451545715,
0.16590812802314... |
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: Indeed, we are talking about criminal law, the area where resistance tha... | Vi talar ju här om straffrätten, det område där motståndet från nationalstaterna mot gemensamma regler är och alltid har varit starkt. | 4 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.4963456988334656,
1.0661089420318604,
0.7206929326057434,
-0.6703792810440063,
-0.12197555601596832,
0.1048261970281601,
0.09467267245054245,
0.7941458225250244,
-0.03735925257205963,
0.26678267121315,
-0.9218977093696594,
0.023936782032251358,
-0.5249438881874084,
0.029205212369561195,... |
Q: Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it ... | Sie können einen Strohhalm Bier verwenden, um einen Feuerball zu haben. | 7 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.29757171869277954,
0.9188472032546997,
0.132193922996521,
-0.029686473309993744,
-0.01742403581738472,
-0.03493703529238701,
1.2760565280914307,
0.8291255235671997,
0.7414306998252869,
-0.7365193367004395,
-0.4460100531578064,
-0.000902994186617434,
-1.1969298124313354,
0.44051977992057... |
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.
One example is below.
Q: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in busines... | positive | 9 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.4331871271133423,
-0.041042767465114594,
0.2181016206741333,
-0.4254980683326721,
0.15723806619644165,
-0.7933388948440552,
0.6906630396842957,
0.759545087814331,
0.06836302578449249,
0.9819526672363281,
-0.06700311601161957,
-0.08801055699586868,
-0.6178383827209473,
-0.381596386432647... |
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