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 |
|---|---|---|---|---|---|---|
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Input: Teraz inny termin: śledzenie tasowania.
Output: | 次はシャッフル･トラッキングです | 3 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-0.7119176387786865,
0.04311772808432579,
-0.05645984038710594,
0.1724565327167511,
0.2552120089530945,
0.27711308002471924,
1.0587762594223022,
-0.43310779333114624,
0.23063555359840393,
-0.31744253635406494,
-0.3514332175254822,
-0.24213485419750214,
-0.5523819923400879,
0.76999479532241... |
Instructions: "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
Input: Prompt: Do you think the song was a message to you, Joshua?
Response 1: Yes, I think the message was extremely direct.
Response 2: Yep, do you want some peacock milk?
Output: | Response 1 | 3 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
0.12562505900859833,
0.937574028968811,
0.39698201417922974,
-0.18416763842105865,
0.08216829597949982,
-0.7990583181381226,
0.6198636293411255,
0.26542869210243225,
0.0014996486715972424,
-0.3152621388435364,
-0.40208905935287476,
-0.3235425353050232,
-0.938104510307312,
0.105338744819164... |
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".
One example is below.
Q: [header] How to create a christmas tree forest [title] Consider the type of tree you want to plant. [step] There are a wide variety of christmas trees and include fir, pine, spruce, cypress, and cedar. These trees thrive in different climates and look different from one another. <sep> (A) It is important to research the tree before setting up your tree to try it out to make sure you can write the tree's growing season so that you can get the most supplies you need. If you're just interested in having a tree stand out, then make sure to check for the following : [substeps] Spruce trees. (B) [substeps] Trees green may be used in a mix of green and evergreen. Greens, such as pintos and olive oil, may be more delicate than these. (C) Where the trees grow together is up to you. [substeps] Spruce trees light up the night for hours in the morning and drown out the morning sunrise between afternoons. (D) Think about where your tree forest will be located and choose a tree that can thrive in that climate. [substeps] Balsam firs are a popular christmas tree species that grow in the northern united states and canada, in hardiness zones 3-5 or states like minnesota, north dakota, and montana.
A: D
Rationale: This is a good example. Only option D is about Christmas trees. So, it's the correct option.
Q: A man is seated cross legged watching a show. A man is kneeling in front of the crowd, talking. he <sep> (A) continues talking as the crowd is enraptured, listening to his every word. (B) is recording himself as he talks, getting himself ready and keeping his form. (C) talks as the man rinses the machine with soap. (D) speaks while perusing the music.
A: | A | 9 | NIv2 | task1389_hellaswag_completion | fs_opt | [
0.9207299947738647,
0.6666717529296875,
-0.5913196802139282,
-0.3444206118583679,
-0.036398135125637054,
-0.5413029193878174,
1.1190448999404907,
0.8493925333023071,
0.30143043398857117,
0.4102587103843689,
-0.13201141357421875,
0.0648455023765564,
0.21127787232398987,
-0.10207746922969818... |
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
[EX Q]: [[10, -121, -54, -1, -69, -181], [83, -37, -173, -81, -42], [-117, 86, -6, -54, -21], [-171, 22, -69]]
[EX A]: [10, 83, 86, 22]
[EX Q]: [[53, -158, -69, 79, -98, -187, 65], [0, -152], [-171, -149, -71, -181, -72, -155], [32, 31, -153], [78, 34, -148, -1, 98, -69], [-157, 26, -9, -200], [-147, 20], [-85, 70, 35, -84, 25, -58]]
[EX A]: [79, 0, -71, 32, 98, 26, 20, 70]
[EX Q]: [[-32, -117, 63, -62, -46, -56], [-107, -77], [-41, -140, -136, -194, 72], [-46, -122, 51, 31, -177], [-108, -6, 90], [-28, 24, -188, 98, -75, -171, -154]]
[EX A]: | [63, -77, 72, 51, 90, 98]
| 6 | NIv2 | task207_max_element_lists | fs_opt | [
-0.2690070867538452,
-0.15186727046966553,
-0.7672012448310852,
0.22377100586891174,
-0.09344855695962906,
-0.04537614434957504,
0.9032020568847656,
0.5464062690734863,
-0.651694118976593,
0.17076709866523743,
-0.6512718200683594,
0.48955368995666504,
-0.47526681423187256,
-0.0194774214178... |
Definition: Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Japanese: 彼女は更に、エナジーマネージメント社が、論争の的となっているケイプウィンドプロジェクトの裏で、チェルシー小学校から通りを横切ってディーゼル発電所を建設しようと提案していると指摘し、そして、チェルシーの空気の質が悪い点に言及した。
Khamer: នាងបានកត់សំគាល់បន្ថែមថា ក្រុមហ៊ុន សាជីវកម្មគ្រប់គ្រងថាមពល ស្ថិតនៅខាងក្រោយគម្រោងចំរូងចំរាសខេបវីន ដែលត្រូវបានស្នើសុំសាងសង់រោងចក្រថាមពលបេ្រងម៉ាស៊ូត នៅម្ខាងទៀតនៃផ្លូវ ពីសាលាបឋមសិក្សាឆេស៊ី ហើយគុណភាពខ្យល់នៅឆេស៊ីគឺអាក្រក់។
Output: | Yes | 2 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.44318675994873047,
0.03506963700056076,
-0.046576857566833496,
-0.3391400873661041,
0.019111912697553635,
-0.763314962387085,
0.40730905532836914,
-0.1209624856710434,
-0.4298819899559021,
0.25958359241485596,
0.07570572942495346,
-0.47191548347473145,
-0.05344651639461517,
0.0592321157... |
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, Num: Number, Misc: Miscellaneous, Pron: Pronoun, Prep: Preposition, Punc: Punctuation.
Voorts de dansvoorstelling Limbus Patrum Latrinité in het Nieuwpoorttheater . | Prep Art N N N N Prep Art N Punc | 0 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | zs_opt | [
0.02641940861940384,
0.9411411285400391,
0.03499513864517212,
-0.06179357320070267,
-0.5381128191947937,
0.11937114596366882,
0.36207345128059387,
-0.1774131953716278,
0.386181116104126,
-0.24742040038108826,
-0.22017045319080353,
0.36279410123825073,
-0.5209939479827881,
0.316901057958602... |
Teacher:In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? Solve this instance: अगर अपराध से आपको चोट लगती है या आपकी सम्पत्ति चोरी हो जाती है या उसको हानि पहुँचती है , तो आपको क्षतिपूर्वक कैसे मिल सकती है |भाष्;
Student: | How you may be able to get compensation if you have been injured or if your property has been stolen or damaged ; | 6 | NIv2 | task424_hindienglish_corpora_hi_en_translation | zs_opt | [
-0.24840116500854492,
0.6920337080955505,
0.7684014439582825,
-0.38040345907211304,
0.13616234064102173,
-0.59349524974823,
0.4722632169723511,
1.0615793466567993,
-0.03614016994833946,
-0.4808848202228546,
-0.11712155491113663,
0.2833539843559265,
-0.640562891960144,
-0.47330403327941895,... |
TASK DEFINITION: Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur before t2, t1 occurs after t2, t1 doesn't occur after t2, t1 occurs between t2 and t3, t1 doesn't occur between t2 and t3, t1 occured before t2 but after t3, t1 occured after t2 but before t3, t1 didn't occur before t2 but after t3, t1 didn't occur after t2 but before t3'. The output should be either 'True' or 'False'.
PROBLEM: Mar 12, 1970 occurs before 21 June 2003
SOLUTION: True
PROBLEM: 01:08:10 doesn't occur between 10:17:30 PM and 19:18:26
SOLUTION: True
PROBLEM: 7:01:21 PM occured before 13:29:27 but after 16:07:40
SOLUTION: | True
| 8 | NIv2 | task1507_boolean_temporal_reasoning | fs_opt | [
0.4827114939689636,
0.03546702489256859,
-0.8616291284561157,
0.4105216860771179,
-0.2790473699569702,
-0.6821914911270142,
0.8448185920715332,
1.2053425312042236,
-0.3638114333152771,
0.13008970022201538,
-0.5730642080307007,
-0.14635597169399261,
0.23802869021892548,
-0.15522080659866333... |
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.
کابینہ نے وزیراعظم جناب نریندر مودی کی صدارت میں پردھان منتری آواس یوجنا کے تحت مڈل آمدنی گروپ کے لئے کریڈٹ لنک سبسڈی اسکیم کے تحت بیاج راحت کے لئے اہل گھروں کے کارپیٹ ایریا میں اضافے کو منظوری دی۔
પ્રધાનમંત્રી શ્રી નરેન્દ્ર મોદીની અધ્યક્ષતામાં મંત્રીમંડળે પ્રધાન મંત્રી આવાસ યોજના (શહેરી વિસ્તારો માટે) હેઠળ મધ્યમ આવક જૂથ (એમઆઈજી) માટે ક્રેડિટ લિન્ક્ડ સબસીડી સ્કીમ (સીએલએસએસ) હેઠળ વ્યાજ પર સબસીડી મેળવવાની પાત્રતા માટે ઘરનાં કાર્પેટ એરિયામાં વધારાને મંજૂરી આપી છે.
اس مفاہمت نامے کا مقصد دونوں میں سے کسی بھی ملک کی جانب سے منعقد کردہ پروگراموں اور سرگرمیوں میں شرکت ، معلومات اور معلومات ایک دوسرے کو فراہم کرنے کے علاوہ نوجوانوں کے تبادلوں کے ذریعے تاجکستان کے ساتھ نوجوانوں کے امور پر تعاون کو مستحکم کرنا اور اس کی حوصلہ افزائی کرنا ہے۔
આ સમજૂતીથી યુવા બાબતોનાં ક્ષેત્રમાં આદાન-પ્રદાનનાં કાર્યક્રમો માટે સુવિધા થશે, જેથી યુવાનોમાં વિચારો, મૂલ્યો અને સંસ્કૃતિનાં આદાન-પ્રદાનને પ્રોત્સાહન આપવામાં મદદ મળશે તથા ભારત અને તાજિકિસ્તાન વચ્ચે મૈત્રીપૂર્ણ સંબંધો મજબૂત થશે.
وزیراعظم نے یقین دہانی کرائی کہ پردھان منتری جن آروگیہ یوجنا آیوشمان بھارت کے آنے سے صحت کے شعبے میں تبدیلی آئے گی اور غریبوں کو اعلیٰ قسم کی صحت خدمات قابل استطاعت قیمت میں مل سکیں گی۔
| પ્રધાનમંત્રીએ ભારપૂર્વક જણાવ્યું હતું કે, પ્રધાનમંત્રી જન આરોગ્ય યોજના – આયુષ્માન ભારત આરોગ્ય ક્ષેત્રની કાયાપલટ કરશે અને એ સુનિશ્ચિત કરશે કે ગરીબોને સર્વોત્તમ કક્ષાની સારવાર પરવડી શકે તેવી કિંમતે ઉપલબ્ધ બને.
| 0 | NIv2 | task1002_pib_translation_urdu_gujarati | fs_opt | [
-0.17011821269989014,
-0.3708725571632385,
-0.7677221298217773,
-0.501301646232605,
-0.3078673779964447,
-0.04603870213031769,
1.2650803327560425,
0.2162378430366516,
-0.015086404979228973,
0.16721078753471375,
-0.698128342628479,
0.907307505607605,
-0.6068145036697388,
0.4289774000644684,... |
In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label the instances as "ironic" or "not" based on your judgment. Note that URLs in the text have been replaced with [Link].
Q: At least I woke up feeling a lot better today..
A: | ironic | 4 | NIv2 | task386_semeval_2018_task3_irony_detection | zs_opt | [
-1.3058431148529053,
0.5876293778419495,
0.8806078433990479,
0.11216073483228683,
-0.39038389921188354,
0.15188035368919373,
0.7808957099914551,
0.6450337767601013,
0.651497483253479,
-0.22215741872787476,
-0.5200703740119934,
-0.11524757742881775,
-0.8944830298423767,
-0.01993191614747047... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example: English: Details were given by the UK Transport Secretary, Ruth Kelly, in the House of Commons at 1730 UTC yesterday.
Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Output: Yes
The converted Japanese sentence is correctly translated from English because converted sentence has the same message as the original English sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
New input case for you: English: The company today carries as much as 3m passengers a month (depending on the season) and has revealed it made a profit of €245m (USD$307,916,000) in the past year.
Japanese: 同社は、今日、（季節に依存するが）一か月あたり３００万人もの乗客を運び、昨年に2億4500万ユーロ(307,916,000米ドル)の利益を上げたことを明らかにした。
Output: | Yes | 1 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.23680540919303894,
-0.4544014632701874,
-0.0011781093198806047,
0.4144268333911896,
0.4541999101638794,
-0.17047269642353058,
-0.13831622898578644,
0.22427278757095337,
-0.5744161605834961,
-0.25990745425224304,
0.36404258012771606,
0.8164860606193542,
0.09620785713195801,
0.21973811089... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Galician.
Q: And here's a picture of sick ice.
A: | Aquí temos unha imaxe de xeo enfermo. | 9 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-0.46125346422195435,
1.226047158241272,
-0.05681806802749634,
-0.6121883988380432,
0.45294618606567383,
-1.3618558645248413,
-0.7589126825332642,
1.0749635696411133,
-0.3579571843147278,
0.013756757602095604,
0.2970049977302551,
0.2851867079734802,
-0.3642835021018982,
0.9134715795516968,... |
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, location (proximity), card games, outdoor sport activity, military rank, baby animals, weather, consumer product, animals, boxing terminology, food, chocolate food, bird, type of sandwich, date status, body part, ocean, employment activity, moral characteristic, elements, poker, computers, construction, guitar part, shady activities, physical activity, kitchenware, temperature, type of rigidity, emotional status, season, mode of transportation, window material, activity, emotional display, geographical property, fried food, store status, widespread, aesthetic characteristic, alcoholic drinks, secretary duty, direction, personal characteristic, and animal.
Example: excavator, crane, hoist, upraise
Example solution: construction
Example explanation: These four words are all construction equipment, such as 'excavator', 'crane', and 'hoist', or describe a common activity used in construction, such as 'upraise'.
Problem: crane, pelican, flamingo, derrick
| Solution: bird | 5 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.2488662600517273,
0.14540308713912964,
-0.6369763612747192,
0.1915997564792633,
0.2857017517089844,
-0.2851841151714325,
-0.24459567666053772,
0.9910312294960022,
-0.09970282018184662,
0.06832998991012573,
-0.34441810846328735,
-0.0647105872631073,
-0.18217253684997559,
-0.35504788160324... |
Part 1. Definition
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 contains offensive language or a targeted (veiled or direct) offense. Twitter user mentions were substituted by @USER and URLs have been substitute by URL.
Part 2. Example
@USER Someone should've taken "this piece of shit to a volcano."
Answer: OFFENSIVE
Explanation: tweet contains offensive language.
Part 3. Exercise
@USER Lmao fuck u bae
Answer: | OFFENSIVE | 7 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-1.2233970165252686,
0.7322805523872375,
0.39256855845451355,
0.44272446632385254,
-0.4356851577758789,
-0.5101412534713745,
0.5162497758865356,
0.06616933643817902,
0.3684309124946594,
-0.28024882078170776,
0.271184504032135,
-0.07080055773258209,
-0.4178701639175415,
-0.7559925317764282,... |
Teacher:You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Teacher: Now, understand the problem? Solve this instance: Personality: I love rock climbing.
My favorite movie is django unchained.
I like long walks on the beach.
I work at a retail store.
I drive a Honda Civic.
Chat history: -Hello, how are you tonight? Have you have dinner?
Candidates 1) My aunt cannot drive. She watches me perform stand up. 2) I am good. Not yet. Just got home from work. You? 3) Lol. Sounds very interesting. What are your hobbies? 4) I used to read a lot but now I sew clothing from animal pelts as a hobby.
Student: | I am good. Not yet. Just got home from work. You? | 6 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.1183544248342514,
0.2574973404407501,
-0.17903053760528564,
0.09138539433479309,
-0.40620505809783936,
-0.13210608065128326,
1.0130358934402466,
0.2917015552520752,
-0.2191801816225052,
-0.3939847946166992,
0.34116899967193604,
-0.4962039887905121,
-0.14715400338172913,
-0.3480853736400... |
TASK DEFINITION: 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.
PROBLEM: System Reference: may i ask near where?
Original Reference: should it be close to any particular location?.
SOLUTION: 0
PROBLEM: System Reference: may i ask near where?
Original Reference: near the what part of the heights.
SOLUTION: 0
PROBLEM: System Reference: x is a restaurant near x.
Original Reference: you may want to visit x restaurant near x.
SOLUTION: | 1
| 8 | NIv2 | task1186_nne_hrngo_classification | fs_opt | [
-0.3189765214920044,
0.8856639862060547,
-0.2390715330839157,
-0.3953116238117218,
-0.4655090272426605,
-0.2550524175167084,
0.9574744701385498,
0.560214102268219,
-0.20790237188339233,
-0.4168083071708679,
-0.8291287422180176,
-0.16335132718086243,
-0.7844986319541931,
-0.1790437996387481... |
A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
[EX Q]: اب تک دفتر خارجہ کی مشاوارت کے ہمارے دو دور بہت سود مند ثابت ہوئے ہیں جن میں ہمارے تعلقات کے دائرے میں آنے والے مختلف موضوعات پر جامع بات چیت کی گئی۔ ہم نے اپنی ٹیموں سے کہا ہے کہ وہ جلد ہی کسی تاریخ کو مشاورت کے اگلے دور کا انعقاد کریں۔
[EX A]: The two rounds of our Foreign Office Consultations till date have proved very useful to comprehensively discuss the various issues that our relationship encompasses. We have asked our teams to hold the next round of the Consultations at an early date.
[EX Q]: کابینہ کے ذریعہ 15ویں مالیاتی کمیشن کی مدت کارمیں 30 نومبر 2019 تک کی توسیع پس منظر:۔
[EX A]: It will enable the Commission to examine various comparable estimates for financial projections in view of reforms and the new realities to finalise its recommendations for the period 2020-2025.
[EX Q]: سنگا پور میں واقع بھارت کے ہائی کمیشن نے ‘‘تدارکی حفظان صحت اور امراض سے بہتر طور پر نبردآزما ہونے کی قوت۔ آیوروید طریقے سے’’ کے موضوع پر ایک سمپوزیم اور مذاکرے کا اہتمام کیا گیا۔ یہ اہتمام 21 جون 2017 کو سنگاپور کی آیورویدک پریکشنروں کی ایسوسی ایشن کے تعاون و اشتراک سے تیسرے بین الاقوامی یوم یوگا کے ایک حصے کے طور پر کیا گیا۔
[EX A]: | The High Commission of India in Singapore organized a Symposium cum Seminar on the theme Preventive Health Care and Immunity Betterment The Ayurvedic Way as a part of celebration of 3rd International Day of Yoga on 21st June 2017 in Singapore in collaboration with Ayurvedic Practitioners Association of Singapore (APAS).
| 6 | NIv2 | task1058_pib_translation_urdu_english | fs_opt | [
-0.2261194884777069,
0.20086945593357086,
-0.3441592752933502,
-0.1313122659921646,
-0.18528518080711365,
-0.39048531651496887,
0.5894379615783691,
0.01878054253757,
0.05140264332294464,
-0.40465256571769714,
0.1082553118467331,
0.9812736511230469,
-0.30131423473358154,
0.3962720036506653,... |
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 information about the situation that might weaken or strengthen the hypothesis. A weakener is a statement that weakens the hypothesis. It makes you much less likely to believe the hypothesis is true. A strengthener is a statement that strengthens the hypothesis. It makes you much more likely to believe the hypothesis is true. Your task is to output 'strengthener' or 'weakener' if the update strengths or weakens the hypothesis, respectively.
[Q]: Premise: PersonX preaches the gospel to every creature
Hypothesis: Because PersonX wanted to teach about god.
Update: PersonX works in a temple.
[A]: strengthener
[Q]: Premise: PersonX spends the next few weeks
Hypothesis: PersonX then finishes up after the few weeks
Update: PersonX clears their calendar for the next few months.
[A]: strengthener
[Q]: Premise: PersonX holds PersonY's head up
Hypothesis: As a result, PersonX wants to ensure that PersonY is physically allright, and not in need of any further assistance
Update: PersonX is physically strong.
[A]: | strengthener
| 5 | NIv2 | task935_defeasible_nli_atomic_classification | fs_opt | [
0.7391981482505798,
-0.3106299042701721,
-0.5808857679367065,
-0.015731384977698326,
-0.0005880196113139391,
-1.5076825618743896,
0.8787922263145447,
1.123608112335205,
-0.20406076312065125,
-0.6597511172294617,
-0.8249875903129578,
-0.18244314193725586,
-0.6134776473045349,
0.023736489936... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
Q: No se forman imágenes en el cortex visual primario.
A: | Non formamos imaxes co noso córtex visual primario. | 9 | NIv2 | task1100_ted_translation_es_gl | zs_opt | [
0.06498217582702637,
0.6052796244621277,
0.13942286372184753,
-0.39032208919525146,
-0.11647915095090866,
-0.1913268119096756,
-0.13573744893074036,
1.24312424659729,
0.014588885009288788,
-0.971410870552063,
0.8155649900436401,
-1.2049888372421265,
-0.8280656337738037,
0.5997997522354126,... |
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.
Q: We previously reported omega-3 polyunsaturated fatty acids (n-3PUFAs) supplementation does not reduce atrial fibrillation (AF) following coronary artery bypass graft (CABG) surgery. The aim of the present study is to evaluate the impact of n-3 PUFAs on electrocardiogram (ECG) atrial arrhythmic markers and compare with expression of gap-junction proteins, Connexins.', 'Subset of clinical trial subjects with right atrial sampling during CABG surgery included. Twelve-lead ECG performed at recruitment and at surgery [after supplementation with n-3 PUFA (∼1.8 g/day) or matched placebo] for ∼14 days. Electrocardiograms analysed for maximum P-wave duration (P-max) and difference between P-max and minimum P-wave duration, P-wave dispersion (PWD). Right atrial specimens analysed for expression of Connexins 40 and 43 using real-time quantitative polymerase chain reaction (qPCR) and western blot. Serum levels of n-3 PUFA at baseline, at surgery, and atrial tissue levels at surgery collated from file. Postoperative AF was quantified by analysing data from stored continuous electrograms. A total of 61 patients (n-3 PUFA 34, Placebo 27) had ECG analysis and AF burden, of which 52 patients (26 in each group) had qPCR and 16 (8 in each group) had western blot analyses for Connexins 40 and 43. No difference between the two groups in ECG parameters or expression of Connexin 40 or 43. P-wave dispersion in the preoperative ECG independently predicted occurrence of AF following CABG surgery.
A: | 1 | 4 | NIv2 | task848_pubmedqa_classification | zs_opt | [
-0.02796134352684021,
-0.12874309718608856,
-0.7561572790145874,
-0.5697829127311707,
0.40195032954216003,
0.20475463569164276,
0.5282959938049316,
0.5381966829299927,
-0.0860547125339508,
0.6096023321151733,
0.1839713752269745,
0.07808379828929901,
-0.4307997226715088,
-0.3192589581012726... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
Q: ['9501', 'S', '115', 'V', '255', 'R', 'e', 'P', 'v', 'V', 'I']
A: | 8 | 4 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
-0.003664592979475856,
0.6424044370651245,
0.09874206781387329,
0.1379973143339157,
0.0984877347946167,
-0.3274992108345032,
0.6980701088905334,
0.1437278836965561,
-0.16412408649921417,
0.47068995237350464,
-0.7598789930343628,
-0.008401792496442795,
0.014447871595621109,
-0.1592676490545... |
Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. 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 context, provides more information about the story's context and the story's general plot. The original ending is the last three sentences of the story. Also, a counterfactual context is a slight modification to the initial context. You should write a new story ending that edits the original story ending as little as possible to regain coherence with the counterfactual context. To sum up, you should write the last three sentences of a story based on the premise(first sentence) and the counterfactual context(second sentence) of the story.
Example Input: Premise: Charlie and Ken made a bet.
Initial Context: The loser would have to shave.
Original Ending: Ken lost the bet. He refused to shave. Charlie stopped being his friend.
Counterfactual Context: The loser couldn't cut their hair.
Example Output: Ken lost the bet. He got his hair cut a week later. Charlie stopped being his friend.
Example Input: Premise: Jessie was preparing to buy her son's Christmas presents.
Initial Context: She filled her cart and then saved it to purchase a few days later.
Original Ending: When it came time to purchase, the prices had all changed. Her order would cost much more now. She had to go and pick some new cheaper toys instead.
Counterfactual Context: He didn't want much but he was very specific about what he did want and she had a hard time finding them.
Example Output: She looks at all the stores to find the best price. Her son's present would be expensive. She had to go and pick some cheaper presents for the rest of the family now.
Example Input: Premise: Cal woke up and felt something was missing.
Initial Context: He realized his bed cap had come off during the night.
Original Ending: He looked all around the sheets and blankets for it. Cal couldn't find it anywhere! Then he spotted it on the floor under the bed.
Counterfactual Context: He realized his ceiling fan was turned off.
Example Output: | But then he had a bigger problem when he couldn't find his hat, so he looked all around the sheets and blankets for it. Cal couldn't find it anywhere! Then he spotted it on the floor under the bed.
| 3 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.7547450661659241,
0.3185599446296692,
-0.10560005158185959,
0.337035596370697,
0.4222757816314697,
-0.8701264262199402,
0.4156094193458557,
1.3622448444366455,
-0.22462698817253113,
-0.35540997982025146,
-0.6066230535507202,
-0.027471493929624557,
-0.22900237143039703,
0.2834482789039612... |
Q: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
7, ['5453', 'q', '7411', '8295', 'X', 'w', '9223', '3207', '1125', 'Z', '5765', 'k', 'h', 'b', 'N', '9331', 'z']
A: | 5453, q, 7411, 8295, X, w, 9223 | 7 | NIv2 | task063_first_i_elements | zs_opt | [
-0.46549391746520996,
1.2354202270507812,
-0.059299103915691376,
-0.6141448020935059,
-0.554433286190033,
-0.09176426380872726,
0.49154722690582275,
0.16447359323501587,
0.028933877125382423,
-0.3278333842754364,
-0.3115537464618683,
-0.1783909797668457,
-0.05858593434095383,
0.21773374080... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Example: But if the shares belong to Geoffrey Charles, well, then George cannot touch them.
Example solution: لكن لو كانت الأسهم بإسم جوفري تشارلز لن يمكن لجورج المساس بهم.
Example explanation: This is a good example. The above sentence is correctly translated from English to Arabic.
Problem: Leave nothing to chance, boss.
| Solution: لا تدع شيئاً للصدفة , يا زعيم | 5 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
0.42354756593704224,
0.5983716249465942,
-0.0778123289346695,
-1.231317400932312,
-0.021664293482899666,
-0.24600042402744293,
0.6672877073287964,
0.00864571612328291,
0.15507307648658752,
-0.6834385395050049,
-0.5045296549797058,
0.3641430735588074,
-0.7433998584747314,
-0.089886516332626... |
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: گوش کردن به یه صدا با طنین خیلی کمتر به نسبت اتفاقاتی که رو پرده می افته می تونه فوری بهمون بفهمونه که داریم به یه سخنگو گوش می کنیم ، به یه راوی بی طرف که توی اتفاقاتی که روی پرده می افته نقشی نداره.
Student: | Quando ascoltiamo un suono con molto meno riverbero rispetto alla scena sullo schermo, ci fa capire subito che stiamo ascoltando qualcuno che commenta la scena, un narratore oggettivo che non partecipa all'azione. | 6 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-0.017391160130500793,
0.7285974025726318,
-0.3857366442680359,
-0.014077833853662014,
-0.2460077702999115,
0.2705536186695099,
0.12581247091293335,
0.6887595653533936,
0.36351701617240906,
-0.5137766599655151,
-0.49375033378601074,
0.13647747039794922,
-0.432449609041214,
0.00344586791470... |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
No hay duda de que en este Libro Blanco sobre la gobernación de la Unión Europea que aparecerá este verano se incluirá también la reforma del Consejo Europeo. | Undoubtedly, reform of the European Council is also going to be included in this White Paper on the governance of the European Union which will be published this summer. | 0 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
-0.021372301504015923,
1.001898169517517,
-0.11720149219036102,
-0.06258583068847656,
0.06490424275398254,
-0.5086755752563477,
0.7555546760559082,
0.43513354659080505,
-0.11440497636795044,
-0.09033401310443878,
0.25879931449890137,
0.2514146566390991,
-0.7893314361572266,
-0.047669313848... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Un câine se joacă în zăpadă. | A dog is playing in the snow. | 0 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
-0.5304728150367737,
0.8873130679130554,
-0.6996617317199707,
-0.03246095031499863,
0.16329427063465118,
-0.20156323909759521,
0.6339349746704102,
0.6839711666107178,
0.015552399680018425,
-0.40711766481399536,
0.10508467257022858,
0.9374295473098755,
-0.767552375793457,
-0.459194123744964... |
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head includes an event or an action in the Tail or not. This happens when the Tail denotes a step within the larger head event. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX affects children 's ___<sep>Tail: to hurt
A: | No | 7 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.4583228528499603,
0.4515896439552307,
0.30306148529052734,
-0.3482617139816284,
-0.5868028402328491,
-0.764203667640686,
1.5319468975067139,
0.5888874530792236,
-0.5975934267044067,
-0.36729955673217773,
-0.14469601213932037,
-0.05461563915014267,
-1.0681254863739014,
0.1259239912033081,... |
Q: 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, location (proximity), card games, outdoor sport activity, military rank, baby animals, weather, consumer product, animals, boxing terminology, food, chocolate food, bird, type of sandwich, date status, body part, ocean, employment activity, moral characteristic, elements, poker, computers, construction, guitar part, shady activities, physical activity, kitchenware, temperature, type of rigidity, emotional status, season, mode of transportation, window material, activity, emotional display, geographical property, fried food, store status, widespread, aesthetic characteristic, alcoholic drinks, secretary duty, direction, personal characteristic, and animal.
fine, probation, prison, flyaway
A: | police punishment | 7 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
-0.028796713799238205,
0.283189058303833,
-0.7689452767372131,
-0.16122692823410034,
0.2770078778266907,
-0.22064264118671417,
-0.4334951639175415,
0.6672936677932739,
0.3422517776489258,
0.022060031071305275,
-0.1971445083618164,
0.20299577713012695,
-0.33999261260032654,
-0.4046767950057... |
Q: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Category: THAT'S NOT HOW THAT BOOK ENDS!
Clue: ...All perfume no & his heart was going like mad & no I said no I won't no then I kicked him no
A: | ulysses | 7 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.13298258185386658,
1.0771516561508179,
0.39301666617393494,
-0.5395455956459045,
0.04990052431821823,
-0.30637326836586,
0.9217634797096252,
-0.5081357359886169,
0.37481820583343506,
-0.029580626636743546,
0.05922451615333557,
0.07996049523353577,
-1.0482438802719116,
0.3053342401981354... |
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 certain way, mixing them, shaking them, etc.
One example: How do you remove keys from a computer keyboard for cleaning?
Solution is here: Place the tip of a knife under the corner of a key and gently twist to pop it off.
Explanation: The process of removing keys from a keyboard for cleaning is descriptive and logical.
Now, solve this: Where can I see dolphins
Solution: | Seaworld has lots of dolphins to look at | 6 | NIv2 | task080_piqa_answer_generation | fs_opt | [
-0.19707299768924713,
0.6124610900878906,
-0.8052467703819275,
-0.14430895447731018,
-0.431135892868042,
0.05346788093447685,
0.0167078897356987,
0.23546329140663147,
0.25051629543304443,
0.17670026421546936,
-0.2402321696281433,
0.35562223196029663,
-0.41167712211608887,
0.183101832866668... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Input: Consider Input: Dialogue 1: 'ok mm you love with me'. Dialogue 2: 'ur a stupid chat bot just shut up don't even get me started on that u are a bot'.
Output: no
Input: Consider Input: Dialogue 1: 'who guess guess i'm not paying'. Dialogue 2: 'nothing just chilling cool what about u'.
Output: yes
Input: Consider Input: Dialogue 1: 'one help help you do what my friend sent me your pictures '. Dialogue 2: 'yes anyways but instead of and and and anyway instead of anyways yes don't try to confuse me with that'.
| Output: yes
| 2 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.5335869193077087,
0.3775775730609894,
0.4062836170196533,
-0.048735711723566055,
-0.09832760691642761,
-0.015335220843553543,
0.9166726469993591,
0.0690123438835144,
0.23909075558185577,
-0.1196105033159256,
0.14409488439559937,
-0.4765945076942444,
-0.3679124712944031,
-0.0244343634694... |
You will be given a definition of a task first, then some input of the task.
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No".
News Headline: John Kerry Getting Presidential Fever Again : ‘ I Might {Challenge} Trump in 2020 ’
Edit: eat
Label: Funny
Output: | Yes | 1 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.13511954247951508,
0.7074446678161621,
0.4985525608062744,
0.22606521844863892,
-0.4657796025276184,
-0.5589311718940735,
-0.2327287644147873,
0.7058473825454712,
-0.48634839057922363,
0.0667792484164238,
-0.19829800724983215,
-0.11280783265829086,
-0.7574396729469299,
0.092128492891788... |
Definition: 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.
Input: Which non-soccer sports infrequently use the NCAA soccer-specific stadium with a larger capacity than Bill Armstrong Stadium ?
Output: | rugby and lacrosse | 2 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
0.2742309868335724,
0.5229737758636475,
-0.6808593273162842,
0.3581681251525879,
-0.2946568429470062,
0.2954258620738983,
-0.6014530658721924,
0.046162426471710205,
0.5621414184570312,
-0.014454301446676254,
-0.4414559602737427,
-0.02349129691720009,
-0.21320757269859314,
0.165634900331497... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
i feel the suffering and i really feel the pain
Output: | sadness | 1 | NIv2 | task875_emotion_classification | zs_opt | [
0.06649352610111237,
-0.12152872234582901,
0.49531322717666626,
0.1131221204996109,
-0.33510375022888184,
-0.8246345520019531,
0.7920035123825073,
0.791864275932312,
0.4637725353240967,
-0.4213879108428955,
-0.6039280295372009,
-0.1968930959701538,
-0.5334529280662537,
-0.1583118587732315,... |
Instructions: In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. 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 grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
Input: ['support', 'all', 'of', 'you', 'in', 'other', 'ways', 'with', '', 'daily', 'class', 'schedules', 'to', 'kind', 'of', 'approximate', 'keep', 'the', 'learning', 'going', 'on', 'during', 'the', "closer's", 'webinars', 'for', 'teachers', 'and', 'parents', 'and', 'also', 'this', 'homeroom', 'is', 'really', 'just', 'a', 'way', 'to', 'stay', 'connected', 'talk', 'to', 'interesting', 'people', 'about', 'interesting', 'topics', 'and', 'answer', 'any', 'questions', 'you', 'have', 'and', 'so', 'over', 'the', 'course', 'of', 'this', 'conversation', 'and', 'I', 'have', 'a', 'very', 'exciting', 'guest', 'today', "I'll", 'give', '', 'a', 'proper', 'introduction', 'in', 'a', 'few', 'minutes', 'encourage', 'you', 'to', 'put', 'any', 'questions', 'you', 'might', 'have', 'on', 'Facebook', 'or', 'on', 'YouTube', 'and', 'our', 'team', 'is', 'going', 'to']
Output: | ['support', 'all', 'of', 'you', 'in', 'other', 'ways', 'with', '', 'daily', 'class', 'schedules,', 'to', 'kind', 'of', 'approximate,', 'keep', 'the', 'learning', 'going', 'on', 'during', 'the', 'closers,', 'webinars', 'for', 'teachers', 'and', 'parents,', 'and', 'also', 'this', 'homeroom', 'is', 'really', 'just', 'a', 'way', 'to', 'stay', 'connected.', 'Talk', 'to', 'interesting', 'people', 'about', 'interesting', 'topics', 'and', 'answer', 'any', 'questions', 'you', 'have.', 'And', 'so', 'over', 'the', 'course', 'of', 'this', 'conversation,', 'and', 'I', 'have', 'a', 'very', 'exciting', 'guest', 'today,', "I'll", 'give', '', 'a', 'proper', 'introduction', 'in', 'a', 'few', 'minutes', 'encourage', 'you', 'to', 'put', 'any', 'questions', 'you', 'might', 'have', 'on', 'Facebook', 'or', 'on', 'YouTube,', 'and', 'our', 'team', 'is', 'going', 'to'] | 3 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.6573585271835327,
0.11370518803596497,
-0.11401445418596268,
-0.12220205366611481,
0.5187846422195435,
-0.8750195503234863,
0.050000615417957306,
0.8578712940216064,
-0.266643762588501,
0.06527671962976456,
-0.4219340980052948,
-0.12809151411056519,
-0.1228451132774353,
-0.45812657475471... |
Given the task definition, example input & output, solve the new input case.
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
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 deal YOU: sorry, i won`t make a deal without a hat THEM: if you take 1 hat i have to have everything else YOU: sorry can`t do THEM: no deal YOU: yesh no deal, sorry THEM: no deal YOU: no deal.
Output: No
Both participants do not agree to the deal, so the answer is No.
New input case for you: THEM: i'll take the books and ball if that's ok? YOU: hmmmmm can i get one book THEM: how about you take the hats and the ball? YOU: i need a book, only thing worth anything to me THEM: oki, i'll take a book and a ball YOU: ok deal.
Output: | Yes | 1 | NIv2 | task1384_deal_or_no_dialog_classification | fs_opt | [
0.5514622926712036,
0.40413087606430054,
0.023620111867785454,
0.8464352488517761,
0.5723565220832825,
-0.5637589693069458,
0.2694876194000244,
0.360318124294281,
-0.04185990244150162,
-0.33646899461746216,
-0.010725731961429119,
-0.12277094274759293,
-0.5297096371650696,
-0.28838154673576... |
instruction:
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
question:
No hay nada malo en un poco de silencio
answer:
کمی سکوت در یک سخنرانی
question:
(JAWS hablando) Ron McCallum: ¿No es lento?
answer:
(صدای سیستم جاوز) رون مک کالوم: زیادی آهسته نبود ؟
question:
Y en este momento, la única diferencia entre las personas del público es el "" si "" particular de cada uno.
answer:
| و حالا تنها چیزی که فرق می کنه بین آدمهایی که اینجا هستند اینه که این « اگر » خاص که بهش فکر می کنید چیه ؟
| 9 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.038972944021224976,
0.8996687531471252,
-0.4942740499973297,
0.20841817557811737,
-0.09278355538845062,
-0.1823960244655609,
0.8319266438484192,
0.3316394090652466,
0.2263057827949524,
0.32040590047836304,
-0.48858916759490967,
-0.12297084927558899,
-0.37473487854003906,
0.2518473565578... |
In this task, you have given an input which is user's command or question, based on that you have to return what will be Agent's response/reply for that particular user's command or question
One example is below.
Q: Hi Does R House have a full bar?
A: I'm unable to find whether R. House has a full bar. You'll have to contact them.
Rationale: The user has asked about the R House, and Agent has replied to it correctly
Q: Actually, could you create a new event called "beach trip" at Coney Island?
A: | Does one of these work? | 9 | NIv2 | task1603_smcalflow_sentence_generation | fs_opt | [
0.2519165575504303,
0.33277255296707153,
-0.2345120906829834,
0.22276264429092407,
0.2411196082830429,
-1.580190896987915,
0.6426986455917358,
-0.04268418252468109,
0.09342844784259796,
0.11316337436437607,
-0.022242294624447823,
-0.04971397668123245,
-0.8684701323509216,
0.463849753141403... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
See one example below:
Problem: Head: PersonX arrives home<sep>Tail: satisfied
Solution: Yes
Explanation: This is a good example. As a result of the Head, PersonX will feels satisfied.
Problem: Head: PersonX is n't scared anymore<sep>Tail: safe
Solution: | Yes | 4 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.4996781349182129,
-0.23361405730247498,
0.21843397617340088,
-0.06163816154003143,
-0.03825564309954643,
-1.0536987781524658,
1.0982460975646973,
1.105405569076538,
-0.913084864616394,
-0.21699374914169312,
-0.2534988224506378,
-0.05507388710975647,
-0.846831738948822,
-0.100956618785858... |
Teacher:Translation from English to Telugu.
Teacher: Now, understand the problem? Solve this instance: I'm not, though.
Student: | నేను అయితే, కాదు. | 6 | NIv2 | task1330_open_subtitles_en_te_translation | zs_opt | [
0.15359891951084137,
0.4641686677932739,
0.24444839358329773,
-0.19999080896377563,
-0.21406109631061554,
-0.5355320572853088,
-0.011674167588353157,
0.6620488166809082,
0.3514997959136963,
-0.2613542079925537,
0.5853853821754456,
-0.4906918406486511,
-1.0141633749008179,
-0.61465692520141... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Example: What is the part-of-speech tag of the word "the" in the following question: Who were the builders of the mosque in Herat with fire temples ?
Example solution: DT
Example explanation: This is a good example. POS tag of "the" is DT.
Problem: What is the part-of-speech tag of the word "country" in the following question: From a country with the capital city of Sofia , a one-time winner of the IWF World Weightlifting Competition died in what year from complications from anesthesia ?
| Solution: NN | 5 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
0.6076105833053589,
0.7728948593139648,
-0.18457701802253723,
-0.05728784203529358,
0.24641777575016022,
-0.6189056038856506,
0.8804073333740234,
0.705388605594635,
-0.9751942157745361,
0.22429661452770233,
-0.7610223889350891,
0.5494060516357422,
-0.37181535363197327,
0.47721099853515625,... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
@Borgore pull my panties down with ur teeth and write the alphabet w ur tongue on my throbbing pussy | Offensive | 0 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.28670641779899597,
0.47246307134628296,
0.5527069568634033,
0.872292160987854,
0.18213297426700592,
-1.2315540313720703,
-0.33850497007369995,
0.855716347694397,
0.46240466833114624,
0.08347996324300766,
-0.27546215057373047,
-0.564083993434906,
-0.23451784253120422,
-1.0909955501556396... |
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Let me give you an example: By Marianna SpringSpecialist disinformation reporter, BBC News The adverts show the Democratic Party challenger with an earpiece, and say that he refused to have his ears checked for devices prior to the debate. The Biden campaign rejected the claims. The Trump campaign adverts ask: "Why won't Sleepy Joe commit to an ear test?" and "Who is in Joe's ear?" Accusations that presidential candidates have received debate help via hidden hearing devices are familiar, albeit unproven. Such allegations have been levelled against both Republican and Democratic candidates in the past. Prior to Tuesday's debate, the rumour about Mr Biden's supposed earpiece was circulating on several social networks, and was being promoted by the Trump campaign. At least 15 versions The advertising campaign was launched after the debate, and also promotes two other baseless but widely shared rumours about Mr Biden. One suggested he asked for breaks during the debate, and another accused him of refusing a "drug test". The photo featured in the advert is not from Tuesday's debate. It was first shared online in September 2019. In a number of the adverts, it has been doctored to show Mr Biden wearing wireless Apple headphones. This was not the case in the original image. Some versions circle the ear featuring the headphone. By Wednesday evening, there were at least 15 different versions of the advert, and according to Facebook's Ad Library, they had reached at least 10 million users. Facebook has pledged to label posts containing voting misinformation and point users towards accurate information ahead of the election. However its policy does not involve fact-checking political speech, including in advertisements. The company declined to comment about the latest Trump ad campaign. Rumour origins Hours before the debate, the claims went viral on Facebook and YouTube. Identical memes were pushed by a number of popular Facebook pages with names such as US Conservative and Unhinged Left. They claimed "Joe Biden should be inspected for a hidden earpiece as well as submit to a drug test before the debate". These memes are subject to fact-checks - and some have had warning labels applied to them on Facebook. The claims were picked up by Fox News and other conservative news outlets. They were further amplified by supporters of QAnon, an unfounded a conspiracy theory that claims President Trump is fighting a secret war against elite Satan-worshipping paedophiles. Those who believe in QAnon are known for promoting political disinformation on social media which targets opponents of the president. They shared close-up pictures of Mr Biden's ears, alleging a listening device was visible. During the debate, some also shared photos of a fold in Mr Biden's shirt, claiming it was caused by a wire, and of a supposed device on his wrist, where he wears a rosary in memory of his late son Beau. Nothing new Conspiracy theories about secret listening devices have been recycled in presidential election campaigns for the past two decades. Democratic candidate Hillary Clinton faced similar unfounded claims ahead of the 2016 presidential election. In 2004, rumours circulated among left-wing sites and blogs that President George W Bush was being aided by a secret earpiece. None of those allegations were found to be true. Even if a candidate did wear an earpiece, any advantage would be questionable. As TV and radio presenters can attest, listening to someone while simultaneously talking during the back-and-forth of a live event is a difficult skill to master.
The answer to this example can be: US President Donald Trump's re-election campaign is running hundreds of Facebook advertisements pushing an unfounded conspiracy theory that Joe Biden cheated during the first US presidential debate.
Here is why: This is a relevant summary for the given paragraph. It also contains explicit phrases from the given text
OK. solve this:
Dillon Turner, 19, died after the bike ploughed into a lamppost in Ingleton, County Durham, on 14 June 2016. The North Yorkshire and Durham forces were involved in a joint operation to recover the machine at the time. The Independent Office for Police Conduct (IOPC) has recommended extra training for the officers involved. The stolen red Honda bike had been taken from the Keld area of the county and was being pursued by officers from North Yorkshire Police. Durham Police officers were called to assist after a failed attempt to stop the bike with a stinger device. Right to life "Significant issues" with radio communication between the two forces, meant Durham officers did not have "full situational awareness" of the pursuit. As Mr Turner, from Coundon, County Durham, rode through the village of Ingleton, he saw a Durham police car approaching from the opposite direction and crashed while attempting to evade it. The police driver was unaware of Mr Turner's position because of the communication failure, the IOPC said. Mr Turner later died in hospital of his injuries. An inquest recorded a narrative verdict, with Durham coroner Oliver Longstaff ruling the police operation had not breached Mr Turner's right to life. A spokesman for the IOPC added: "We looked at the actions of both Durham and North Yorkshire Police (NYP) on the day of Mr Turner's death. "We did not find that any of the officers or staff involved behaved in a manner that would justify disciplinary proceedings. "However, we made recommendations to NYP to help them improve how officers communicate with one another during similar incidents. "Durham Constabulary has also reviewed and updated its training in relation to cross-border communications." Related Internet Links Durham Police North Yorkshire Police
Answer: | A watchdog has cleared two police forces of any wrongdoing over the death of a man who crashed a stolen quad bike to escape an oncoming patrol car. | 8 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
0.3850054144859314,
0.4858255684375763,
-0.4825720489025116,
-0.27673572301864624,
-0.011184346862137318,
0.0047220876440405846,
0.33294764161109924,
1.1881165504455566,
-0.2703325152397156,
-0.009260019287467003,
0.08776938915252686,
0.7576737999916077,
-0.2949485182762146,
0.194968000054... |
Q: Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
THEM: you can have the balls if i can have the rest YOU: can't give up the book. you can have all of the hats though THEM: i cannot give up the book either YOU: i will give you all of the balls and the hats THEM: no deal YOU: i can't leave without the book THEM: no deal then YOU: no deal THEM: ok YOU: how does the no deal button appear?
A: | No | 7 | NIv2 | task1384_deal_or_no_dialog_classification | zs_opt | [
0.2331937849521637,
0.9222649931907654,
0.4384768605232239,
0.33990636467933655,
0.009244987741112709,
-0.42261362075805664,
0.5657023191452026,
0.5814573764801025,
0.5070462226867676,
-0.4195373058319092,
0.43996596336364746,
0.18416328728199005,
-1.0472863912582397,
0.09757291525602341,
... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
By zrekompensować brak wewnętrznej konroli, próbują kontrolować to co na zewnątrz. Co zrozumiałe, głównie rodzinę. I niestety wpasowuje się to doskonale w tradycyjny regresywny, represyjny i restrykcyjny aspekt kontekstu kulturowego.
| Para compensar esta perda de auto-controlo tentam controlar o exterior, muito compreensivelmente — sobretudo a família. Infelizmente, isto encaixa muito bem no lado tradicional, regressivo, repressivo, restritivo do contexto cultural. | 5 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.9276098012924194,
1.5866597890853882,
-0.09682874381542206,
-0.4189499616622925,
-0.1996595561504364,
0.4828840494155884,
0.068579763174057,
0.7712053060531616,
0.1512691080570221,
-0.2471379190683365,
-1.1254435777664185,
0.3139587342739105,
-0.9553647041320801,
-0.1020984873175621,
... |
TASK DEFINITION: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
PROBLEM: Well, you'd start by finding out if the biotech is really there.
SOLUTION: Bem, vocês começariam por saber se temos a biotecnologia para isso.
PROBLEM: We carry in our face the proof that cooking, food transformation, made us what we are.
SOLUTION: Nós transportamos na nossa face a prova de que cozinhar, a transformação da comida, fizeram de nós o que somos.
PROBLEM: In the morning, however, there was nothing to eat.
SOLUTION: | Mas, de manhã, não havia nada para comer.
| 8 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
0.002399024087935686,
0.21066096425056458,
0.4160902500152588,
-0.6135783195495605,
-0.8034114837646484,
-0.11282123625278473,
0.16336894035339355,
1.4586774110794067,
0.29139062762260437,
0.4570987820625305,
-0.3904654383659363,
0.08602269738912582,
-0.565593957901001,
0.02287063188850879... |
Detailed Instructions: In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list of numbers must be inside brackets. Sort the numbers in your answer in an ascending order, that is, no matter what the order of the numbers in the lists is, you should put them in your answer in an ascending order.
Q: [10, 6, 2, 4, 8] , [7, 2, 7, 8, 5]
A: | [2, 8] | 9 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.48866820335388184,
0.21518850326538086,
-0.5955876111984253,
-0.3302645981311798,
0.379452645778656,
-0.1997263878583908,
0.8062936067581177,
0.28367459774017334,
-0.10595811903476715,
0.26403483748435974,
-0.5186216235160828,
-0.2568138837814331,
-0.21854561567306519,
0.2668438553810119... |
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".
Problem:English: The men were charged with gross indecency and unnatural acts, based on laws imposed during the British colonial period in Malawi.
Hindi: स्वतंत्र और निर्दलीय अमेरिकी कांग्रेस के प्रहरी, गवर्नमेंट अकाउंटेबिलिटी ऑफिस (GAO) ने खाद्य और औषधि प्रशासन के आपातकालीन गर्भनिरोधक गोली की ओवर-द-काउंटर (OTC) बिक्री की अनुमति नहीं देने फैसले को "असामान्य" कहा।
Solution: | No | 8 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.4396752119064331,
0.23918239772319794,
0.48202022910118103,
0.11154863238334656,
0.19242186844348907,
-0.90706866979599,
0.16655784845352173,
0.25019484758377075,
-0.12314890325069427,
-0.24966654181480408,
-0.5157948732376099,
-0.08100251853466034,
-0.6806998252868652,
0.44981187582015... |
This task is to translate the English language Input to Telugu Language Output
Example: I am very happy
Example solution: స్నేను చాలా సంతోషంగా ఉన్నాను
Example explanation: The translation is correct with meaning of the sentence not being impacted.
Problem: COMMENTSPeggy Ghafoerkhan on Confessions of an Aromaholic: Fragonard smells like what?Alice on Fragrance Review: Opus Oils, Wild Child (2011)Perfume Review – Santa Maria Novella: History & Ambra Eau de Cologne _ Kafkaesque on Fragrance Review: Santa Maria Novella, AmbraEvchen on Confessions of an Aromaholic: Fragonard smells like what?TAGSAbout
| Solution: కామెంట్స్Larraine మీద ఒక Aromaholic కన్ఫెషన్స్ ఆఫ్: నమూనాలు ఉండడం ప్రాముఖ్యతLarraine మీద ఒక Aromaholic కన్ఫెషన్స్ ఆఫ్: Fragonard ఏమి వంటి వాసనా?Linda Wilson మీద సువాసన రివ్యూ: ప్రయాణం లో పెర్ఫ్యూం, ఆలిస్ అడగండి వెళ్ళండి (2011)Peggy Ghafoerkhan మీద ఒక Aromaholic కన్ఫెషన్స్ ఆఫ్: Fragonard ఏమి వంటి వాసనా?టాగ్లుగురించి | 5 | NIv2 | task1616_cc_alligned_translate_eng_tel | fs_opt | [
-0.7141765356063843,
0.37966540455818176,
0.4177364408969879,
0.08115215599536896,
0.3604707419872284,
-1.6236027479171753,
0.09877331554889679,
-0.26476335525512695,
0.2192816138267517,
0.6600830554962158,
0.13449689745903015,
-0.03800119832158089,
-0.8509244322776794,
-0.5460756421089172... |
Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship with its holonym (i.e., input entity).
Example Input: venom
Example Output: weight molecule
Example Input: glacial erratic
Example Output: dolostone
Example Input: chewing
Example Output: | saliva
| 3 | NIv2 | task471_haspart_answer_generation | fs_opt | [
-0.2043355405330658,
0.7899842262268066,
0.17436237633228302,
-0.1655241996049881,
-0.6656663417816162,
-0.43151259422302246,
-0.5128495693206787,
0.2985737919807434,
0.29628095030784607,
-0.9477331638336182,
-0.6627741456031799,
0.358839750289917,
-0.5592964887619019,
-0.12322559952735901... |
Detailed Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
Problem:ഇ-പെന്ഷന് പേയ്മെന്റ് ഓര്ഡര് : ശരിയായ ദിശയിലേയ്ക്കുള്ള പുതിയൊരു ചുവടുവയ്പ്പ്
Solution: | وزارت دفاع ای-پنشن پیمنٹ آرڈر: صحیح سمت میں نیا قدم | 8 | NIv2 | task1059_pib_translation_malayalam_urdu | zs_opt | [
-0.09699191153049469,
0.10594004392623901,
-0.3154316544532776,
-0.6221776008605957,
-0.7325395345687866,
-0.7402089834213257,
0.3111828863620758,
0.3151234984397888,
0.07420511543750763,
0.10173545777797699,
-0.41367077827453613,
-0.49451446533203125,
-0.2992314100265503,
0.31590819358825... |
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 .
Example Input: Statement: നാസി പാർട്ടിയുടെ ഏകാധിപത്യത്തിനു കീഴിൽ സ്റ്റുട്ട്ഗാർട്ടിനു പ്രാധാന്യം നഷ്ടപ്പെട്ടു. എങ്കിലും സെൻട്രൽ നെക്കാർ മേഖലയുടെ സാംസ്കാരികവും സാമ്പത്തികവുമായ കേന്ദ്രമായി തുടരുകയും ചെയ്തു. നാസി ഭരണകൂടം സ്റ്റുട്ട്ഗാർട്ടിനു പ്രത്യേക പദവികൾ നൽകിയിട്ടുണ്ട്. 1936 ൽ "ജർമ്മനിയിലെ വിദേഷികളുടെ നഗരം" എന്ന പേരു സ്റ്റുട്ട്ഗാർട്ടിനു ലഭിച്ചു. <MASK> ബീറ്റിലിന്റെ പ്രോടോടൈപ്പ് ഫെർഡിനാൻഡ് പോർഷെ സ്റ്റുട്ട്ഗാർട്ടിൽ വച്ചാണ് രൂപകൽപ്പന ചെയ്തത്.
Option A: വെയിൽസ്
Option B: സൂറിച്ച്
Option C: ഇംഗ്ലണ്ട്
Option D: ഫോക്സ്-വാഗൺ
Example Output: ഫോക്സ്-വാഗൺ
Example Input: Statement: 1934-35-ലെ ലോങ് മാർച്ചിൽ ഡെങ് പങ്കെടുത്തു. അതു കഴിഞ്ഞതോടെ ഇദ്ദേഹം ചൈനീസ് കമ്യൂണിസ്റ്റു പാർട്ടിയിലെ ശ്രദ്ധിക്കപ്പെടുന്ന നേതാവായി മാറി. ചുവപ്പു സേനയിലെ പൊളിറ്റിക്കൽ കമ്മിസാർ എന്ന പദവിയിലുള്ള ഇദ്ദേഹത്തിന്റെ പ്രവർത്തനവും ശ്രദ്ധേയമായിരുന്നു. രണ്ടാം ലോകയുദ്ധത്തിൽ <MASK> സേനയ്ക്കെതിരായി പോരാടാനും ചൈനയിലെ നാഷണലിസ്റ്റു സേനയുമായി നിർണായക യുദ്ധം നയിക്കാനും ഇദ്ദേഹത്തിനു കഴിഞ്ഞു.
Option A: ചൈനയിലെ
Option B: ബെയ്ജിങ്ങിലേക്കു
Option C: കുടുംബത്തിൽ
Option D: ജപ്പാൻ
Example Output: ജപ്പാൻ
Example Input: Statement: കേരളത്തിലെ വയനാട് ജില്ല യിൽ മാനന്തവാടി <MASK>, in Wayanad district, Kerala ക്ക് സമീപം മാനന്തവാടി-സുൽത്താൻ ബത്തേരി റോഡിൽ പനമരം ടൗണിൽ നിന്ന് 4 കി.മീറ്റർ സമീപത്തുള്ള ഒരു ചെറു ഗ്രാമമാണ് ഈ സ്ഥലം സ്ഥിതി ചെയ്യുന്നു. കേരളത്തിലെ വയനാട്ജില്ലയിൽ മാനന്തവാടി ക്കടുത്ത് Mananthavady, in Wayanad district, Kerala. പനമരം ടൗണിൽ നിന്ന് 4 കി. മീറ്റർ സുൽത്താൻബത്തേരി റോഡിൽ സ്ഥിതി ചെയ്യുന്ന ഒരു സ്ഥലമാണ് കായക്കുന്ന്. സുൽത്താൻബത്തേരി, മാനന്തവാടി അല്ലെങ്കിൽ കൽപ്പറ്റ യിൽനിന്ന് കായക്കുന്ന് ഗ്രാമത്തിലേക്ക് പ്രവേശിക്കാം. പേരിയചുരം വഴി മാനന്തവാടി കണ്ണൂരിനെയും തലശ്ശേരിയേയും ബന്ധിപ്പിക്കുന്നു. താമരശ്ശേരിചുരം വഴി (NH-212) കോഴിക്കോടിനെ കൽപ്പറ്റയുമായി ബന്ധിപ്പിക്കുന്നു. കുറ്റ്യാടിചുരം വഴി വടകരയെ കൽപറ്റ, മാനന്തവാടി എന്നിവയുമായി ബന്ധിപ്പിക്കുന്നു. കണ്ണൂർ, ഇരിട്ടി എന്നിവയെ മാനന്തവാടിയുമായി പാൽചുരം മലനിരകൾ ബന്ധിപ്പിക്കുന്നു. ബാംഗ്ലൂർ, മൈസൂർ, ഗൂഡല്ലൂർ, നീലഗിരി, നിലമ്പൂർ, ഊട്ടി തുടങ്ങിയ സ്ഥലങ്ങളിൽ നിന്നും സുൽത്താൻബത്തേരിലൂടെ വയനാട്ടിലേക്ക് വരാം. നടവയൽ-ചങ്ങനാശ്ശേരി കെ.എസ്.ആർ.ടി.
Option A: Mananthavady
Option B: Kerala
Option C: Panamaram
Option D: Mysore
Example Output: | Mananthavady
| 3 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.5491160154342651,
0.12152276933193207,
-0.2552509009838104,
0.3792894184589386,
0.6335416436195374,
-0.8253948092460632,
0.5753424763679504,
1.3311614990234375,
-0.3229798376560211,
0.2835735082626343,
-0.03235383704304695,
0.23296883702278137,
-0.47765278816223145,
-0.4858667850494385,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Este é o gráfico que o Dr. Clark Chapman do Southwest Research Institute apresentou no Congresso há uns anos. | To jest tabela, którą Dr Clark Chapman z Southwestern Research Institute zaprezentował Kongresowi kilka lat temu. | 0 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.9161803722381592,
0.4814886450767517,
-0.5496384501457214,
-0.8398284316062927,
-0.9314523935317993,
-0.9123097062110901,
0.2315528690814972,
-0.14789679646492004,
0.4188891053199768,
0.11730699241161346,
-0.18504714965820312,
0.4524086117744446,
0.3675166368484497,
0.095038503408432,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Q: Aquí vemos unhas neuronas.
A: | Aquí observamos las neuronas. | 4 | NIv2 | task1240_ted_translation_gl_es | zs_opt | [
-0.32497045397758484,
0.3377191424369812,
0.26391687989234924,
-1.1072864532470703,
-0.26173821091651917,
-1.1133557558059692,
0.1530567705631256,
1.1550036668777466,
0.3621542453765869,
-0.228385329246521,
0.15799042582511902,
0.0636594146490097,
-0.4942893981933594,
0.8540022373199463,
... |
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".
One example: Review: My cat won't touch these. My dog, however, chews them and makes a mess all over the carpet and I can't get the shredded sticks out! Messy. Waste of money!
Summary: Cat hates them
Solution is here: True
Explanation: The answer is True. Because it's a correct summary where the owner mentioned their cat hated the product.
Now, solve this: Reviews: Item didn't arrive. They sent replacement. Now they are saying I didn't RETURN item. How do I return something that didn't arrive?
Summary: Item didn't arrive. They sent replacement. Now they are saying I didn't RETURN item.
Solution: | True | 6 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.4871753454208374,
0.01579139567911625,
0.24270236492156982,
-0.12612119317054749,
-0.12842223048210144,
-0.6148339509963989,
0.39765456318855286,
0.6045309901237488,
-0.6538108587265015,
0.26208359003067017,
-0.1731453537940979,
0.3961677551269531,
-0.79709792137146,
0.13636140525341034... |
This task is to translate a news commentary given in Italian language into Zhuang language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Let me give you an example: Cosa è andato storto nel 2008?
The answer to this example can be: 2008年败在何处？
Here is why: The translation is proper and the important numerical value is preserved.
OK. solve this:
Le spiegazioni potrebbero essere due: la prima è che forse è cresciuta la percentuale di entrate relative alle banche europee, detenuta dall’Asia; la seconda è che questa percentuale, però, non sarebbe stata controbilanciata da una diminuzione della fetta di guadagni provenienti dagli Usa. E, mentre tale scenario riflette cambiamenti di relativa importanza, il volume di affari delle banche europee potrebbe essere cresciuto in termini assoluti anche negli Usa, sebbene con un passo più lento rispetto ad altri paesi.
Answer: | 有趣的是，大多数欧洲大银行的主要投资目标是其他欧洲市场，而不是世界其他地区，这使得欧洲市场对总营收额的贡献达到了近30%，而十年前这一数字为20%。造成这一现象的原因有二。一方面，亚洲在欧洲银行营收额中所占的比重可能在上升，但被来自美国的收入的下降抵消了。这一现象反映了相对重要性的变化，但欧洲银行美国业务量的绝对值仍然是上升的，只是幅度必其他地区低。 | 8 | NIv2 | task1376_newscomm_translation | fs_opt | [
-0.4487491548061371,
0.2707678973674774,
-0.4834744334220886,
0.2858821153640747,
-0.2353082001209259,
0.05183649808168411,
0.15350449085235596,
1.0193318128585815,
0.042452745139598846,
0.2051084041595459,
-0.2392672747373581,
0.4465526044368744,
-0.3117489814758301,
-0.11784268915653229,... |
Q: In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Las técnicas cognitivas no parecen potenciar el efecto de la exposición en vivo en la mayoría de las fobias específicas, con la posible excepción de
A: | Cognitive techniques do not seem to enhance the effect of exposure in vivo in most specific phobias, with the possible exception of | 7 | NIv2 | task1433_head_qa_language_translation_es_to_en | zs_opt | [
-0.7894357442855835,
0.056582070887088776,
0.3633865416049957,
-0.9449738264083862,
-0.0021045594476163387,
-0.909736692905426,
0.01525922492146492,
1.2284185886383057,
-0.1168886050581932,
-0.37491607666015625,
0.08589452505111694,
0.4110010266304016,
-0.28587520122528076,
0.1504199057817... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Example: Italy have defeated Portugal 31-5 in Pool C of the 2007 Rugby World Cup at Parc des Princes, Paris, France.
Example solution: 2007 में फ़्रांस, पेरिस के पार्क डेस प्रिंसेस में हुए रग्बी विश्व कप के पूल C में इटली ने पुर्तगाल को 31-5 से हराया।
Example explanation: This is a correct and accurate translation from English to Hindi because translated text is just paraphrased of English sentence. Also, it preserves the numbers as it is.
Problem: The letter comes after police foiled an alleged attempt by terrorists to blow up several planes travelling mid-air from the United Kingdom to the United States of America.
| Solution: यह पत्र पुलिस द्वारा यूनाइटेड किंगडम से संयुक्त राज्य अमेरिका की मध्य-हवाई यात्रा करने वाले कई विमानों को आतंकवादियों द्वारा उड़ाने के एक कथित प्रयास को विफल करने के बाद आया है। | 5 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
0.08787448704242706,
1.2521861791610718,
0.056928958743810654,
0.59813392162323,
-0.06344426423311234,
-0.5315804481506348,
0.24452140927314758,
0.7393905520439148,
-0.10004360973834991,
-0.32854461669921875,
-0.7036928534507751,
0.417064905166626,
-0.09413112699985504,
0.2503972053527832,... |
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.
Q: The regulatory mechanisms of IL-5 gene transcription in human peripheral T cells are unclear because the transfection efficiency of plasmid constructs into nontransformed T cells is very low.', 'Concanavalin A (ConA)-stimulated blastocytes derived from peripheral blood lymphocytes of asthmatic subjects were transiently transfected with the human IL-5 gene promoter/enhancer-luciferase gene construct, pIL-5 (-511)Luc, and cultured with THP-1 cells (human monocytoid cells) and anti-CD3 monoclonal antibody (mAb). IL-5 level in the culture medium was determined by an enzyme-linked immunosorbent assay. Transcriptional activity of the IL-5 gene was measured by luciferase reporter analysis.', "ConA-blast lymphocytes of asthmatic patients produced a significant amount of IL-5 upon combined stimulation with anti-CD3 mAb and THP-1 cells, but not with anti-CD3 mAb alone. Costimulation with anti-CD28 mAb also enhanced the anti-CD3 mAb- induced IL-5 production. Accordingly, luciferase activity induced by anti-CD3 mAb stimulation in pIL-5(-511)Luc-transfected ConA-blast lymphocytes was increased 1.9- and 3.4-fold by the addition of anti-CD28 mAb and THP-1 cells, respectively. Serial 5' deletion analysis of the reporter gene demonstrated that the cis-regulatory element located at -119 to -80 is critical for anti-CD3 mAb-induced IL-5 gene transcription.
A: 0
****
Q: To test the hypothesis that hyporesponsiveness to ghrelin due to reduced growth hormone (GH) contributes to the aging-related hyperinflammatory state in sepsis.', 'Sepsis and septic shock are a serious problem, particularly in the geriatric population. Ghrelin is an endogenous ligand for the GH secretagogue receptor 1a (GHSR1a, ie, ghrelin receptor). The decline in GH with age is directly associated with many adverse changes that occur with aging. However, the role of GH, ghrelin, and GHSR1a in the age-associated vulnerability to sepsis remains unknown.', 'Male Fischer 344 rats (young: 3 months; aged: 24 months) were used. Plasma GH levels, ghrelin receptor expression, and neuronal activity in the parasympathostimulatory nuclei of the brain stem in normal young and aged animals were measured. Endotoxemia was induced by intravenous injection of lipopolysaccharide (LPS, 15 mg/kg BW).', 'While LPS-induced release of proinflammatory cytokines from macrophages isolated from aged rats decreased, LPS injection resulted in an in vivo hyperinflammatory state. GH levels were lower in aged rats, which was associated with lower expression of GHSR1a in the dorsal vagal complex and a decrease in parasympathostimulatory neuronal activity. GHSR1a antagonist elevated LPS-induced cytokine release in young rats. GH increased GHSR-1a expression in the dorsal vagal complex in aged rats. Coadministration of ghrelin and GH, but not ghrelin alone or GH alone, markedly reduced cytokine levels and organ injury after endotoxemia in aged rats, which was associated with significantly elevated parasympathostimulatory neuronal activity.
A: 1
****
Q: Bilateral lower extremity venous duplex scanning for acute deep venous thrombosis (DVT) has been advocated because of the high incidence of occult contralateral leg involvement. We investigated the clinical necessity of such a policy.', 'The results from 2996 venous duplex studies performed during the past 2 years were retrospectively reviewed. A total of 1694 of these scans were performed on patients with symptoms, of whom 248 (15%) were found to have an acute DVT. Symptoms were limited to one side in 198 patients, whereas bilateral complaints were noted in 50 patients.', 'Among the patients with symptoms of acute DVT, 72 (29%) had bilateral involvement. Bilaterality was more likely in patients with bilateral symptoms than in those with only unilateral symptoms (56% vs 22%; p < 0.005). Of the patients with unilateral symptoms and bilateral DVT, all of them had either acute (80%) or acute and chronic (20%) thrombosis in the symptomatic leg. The contralateral asymptomatic limb had fewer acute and more chronic DVT (41% and 55%, respectively). No patient from the entire group admitted with symptoms had an acute DVT in the asymptomatic limb without a concomitant acute DVT in the symptomatic leg. Unilateral scanning would decrease the examination time by 21% and potentially increase total reimbursement for symptomatic venous scans by 9% compared with routine bilateral duplex scanning.
A: | 1
****
| 4 | NIv2 | task848_pubmedqa_classification | fs_opt | [
0.598355233669281,
-0.22862564027309418,
-0.47353675961494446,
-0.21437636017799377,
1.0053627490997314,
-0.8911439180374146,
0.08762414753437042,
0.619614839553833,
0.17792701721191406,
0.2589074969291687,
-1.0688145160675049,
-0.340454638004303,
-0.4160422682762146,
0.0020073431078344584... |
Definition: In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Input: Statement: All other villages are already burned. Choices: 1. The demons already burnt down the other villages. 2. The other villages were burnt. 3. None of the villages were burned.
Output: | 3 | 2 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
0.29294997453689575,
0.3563949465751648,
-0.022538695484399796,
-0.19470253586769104,
-0.5394952297210693,
-0.7411417961120605,
1.0241011381149292,
0.6198141574859619,
-0.37496083974838257,
0.02783416584134102,
-0.5784053206443787,
0.2230340838432312,
-0.6561328172683716,
-0.63619685173034... |
Instructions: In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Input: 1220 - 7008 - 4400
Output: | 12628 | 3 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.17955085635185242,
0.6595422625541687,
-1.412642002105713,
0.6732560396194458,
-0.15732374787330627,
-0.06090223044157028,
1.0271157026290894,
1.1477043628692627,
0.3027094006538391,
-0.34441077709198,
-0.08580318093299866,
-0.25572043657302856,
-0.5628656148910522,
-0.05919887498021126... |
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, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
One example: Sentence 1: The cashier was counting the dollar bills at her desk.
Sentence 3: Everyone panicked and started to scream.
Sentence 4: The men threatened the people to remain quiet.
Sentence 5: The cashier handed them the cash so they would go away.
Given Sentence 2: Two men rushed into the store and held their guns up.
Solution is here: Yes
Explanation: People panic when somebody holds their guns up. Sentence 2 correctly connects Sentence 1 with rest of the story. So, the answer is 'Yes'.
Now, solve this: Sentence 1: Nina loved to eat oranges and she attended a local elementary school.
Sentence 3: In her class, all of her friends caught a bad cold and missed days
Sentence 4: Nina ate an orange every day and never got sick
Sentence 5: She had the best attendance record in her whole class
Given Sentence 2: She was very nervous.
Solution: | No | 6 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.41068369150161743,
0.04028072953224182,
0.2324627786874771,
0.36654430627822876,
0.1579912006855011,
-0.05273520201444626,
0.05308789759874344,
1.0235073566436768,
0.2633226215839386,
0.03866136819124222,
-0.3109544515609741,
-0.999432384967804,
-0.5731959342956543,
-0.44332975149154663... |
Given the task definition and input, reply with output. Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Horrible product. Cheap quality and SLEEP/WAKe function DOES NOT WORK! It instead does not allow the iPAD to go into SLEEP mode and stays on all the time. Battery drains whithin 2 hours without being used!!! I plan to throw it in the trash.
| Negative Review | 5 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
-0.3233509659767151,
0.21015305817127228,
-0.07368351519107819,
-0.7893644571304321,
-0.3792805075645447,
-0.4310283362865448,
0.2335008978843689,
0.650253415107727,
-0.15404921770095825,
0.4886215925216675,
-0.674475908279419,
-0.25146833062171936,
-0.18831756711006165,
-0.902285575866699... |
Definition: In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Input: " Hey, wait a minute, " I hollered.
Output: | Past | 2 | NIv2 | task429_senteval_tense | zs_opt | [
-0.4854879379272461,
0.08735623210668564,
0.32040947675704956,
0.6525835394859314,
0.012208912521600723,
-0.1978888213634491,
0.33595481514930725,
0.7191331386566162,
0.10746580362319946,
-0.15724779665470123,
-0.8644582629203796,
-0.18907970190048218,
-0.18774676322937012,
-0.098156675696... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Example: Comment: your posts shows you are stupid period
Example solution: Insult
Example explanation: This comment is insult because it is scornful and disrespectful.
Problem: Comment: You're next.....
| Solution: Non-insult | 5 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.760165274143219,
0.6731512546539307,
0.7835716605186462,
0.11611708998680115,
0.12713128328323364,
-0.26229095458984375,
0.4500322937965393,
0.5457873344421387,
0.30648913979530334,
0.3361675441265106,
0.044462017714977264,
0.08953682333230972,
-0.6268274784088135,
-0.6445187330245972,
... |
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the sentence. The resolution of the pronoun coreference relations typically involve one or multiple following knowledge types about commonsense: First: 'Property', the knowledge about property of objects (e.g., ice is cold). Second: 'Object', the knowledge about objects (e.g., cats have ears). Third: 'Eventuality', the knowledge about eventuality (e.g., 'wake up' happens before 'open eyes'). Forth: 'Spatial', the knowledge about spatial position (e.g., object at the back can be blocked). Fifth: 'Quantity', the knowledge about numbers (e.g., 2 is smaller than 10). Sixth: all other knowledge if above ones are not suitable. You should answer 'Correct' if the reasoning made sense, otherwise, you should answer 'Wrong'.
Input: Consider Input: Sentence: Steve follows Fred's example in everything. He influences him hugely.
Reason: The 'He' refers to fred because Steve follows Fred's example, thus Steve is primary.
Question: Is the above reasoning correct or wrong?
Output: Correct
Input: Consider Input: Sentence: Steve follows Fred's example in everything. He admires him hugely.
Reason: The 'He' refers to steve because Steve follows Fred's example, thus Steve is primary.
Question: Is the above reasoning correct or wrong?
Output: Correct
Input: Consider Input: Sentence: Fred and Alice had very warm down coats, but they were not enough for the cold in Alaska.
Reason: The 'they' refers to coats because the coats are what is not enough for the cold.
Question: Is the above reasoning correct or wrong?
| Output: Correct
| 2 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
0.3069010078907013,
-0.19816437363624573,
-0.056221723556518555,
0.15451659262180328,
0.40717363357543945,
-1.1480084657669067,
0.39143651723861694,
0.7044785022735596,
-0.24029874801635742,
-0.2689615488052368,
-0.40072739124298096,
0.04787609353661537,
-0.6428292393684387,
-0.15089145302... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Example input: Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Example output: Isto inclúe un sistema en árabe chamado al-jebra.
Example explanation: The Italian sentence is correctly translated into Galician, because the meaning is preserved.
Q: Avevamo tutti i mezzi per riuscirci.
A: | Deberiamos poder advertir isto. | 3 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.21291115880012512,
1.3729041814804077,
-0.15422366559505463,
0.27075493335723877,
-0.2409735471010208,
-1.1164859533309937,
0.7684707641601562,
0.5064151883125305,
-0.9953694343566895,
0.1954769641160965,
-0.5889845490455627,
-0.34304094314575195,
-0.6896326541900635,
0.7540870308876038... |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Ex Input:
По този въпрос Комисията напомня на Европейския парламент, че една директива за пълно хармонизиране относно нелоялни търговски практики от страна на търговци към потребители вече е твърде амбициозно предложение, което би било неуспешно, ако неговото приложно поле се разшири до нелоялни търговски практики от страна на търговци към търговци.
Ex Output:
On this point the Commission reminds the European Parliament that a full harmonisation directive on unfair business-to-consumer practices was already a very ambitious proposal which would have failed if its scope had been extended to business-to-business unfair competition practices.
Ex Input:
Единната валута е фактор за динамично развитие на европейската икономика.
Ex Output:
The single currency is a factor for dynamism in the European economy.
Ex Input:
Актуализирането на съобщението цели да се повиши прозрачността и правната сигурност.
Ex Output:
| The objective of modernising the communication is to increase transparency and legal certainty.
| 1 | NIv2 | task271_europarl_translation | fs_opt | [
-0.7031132578849792,
0.5683120489120483,
-0.32211458683013916,
-0.09637375921010971,
-0.058266956359148026,
-0.3289361000061035,
0.2778416872024536,
0.7730318307876587,
0.22012203931808472,
0.07449373602867126,
-0.1246751993894577,
0.8367562294006348,
-0.19837111234664917,
-0.2724263668060... |
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
[Q]: Given Relationship: 'meet in', Sentence: 'These key issues reflect those presented by Dr Isi Saragossi at the EUA Council meeting on 26 March 2008 in Barcelona .'
[A]: meeting
[Q]: Given Relationship: 'consist of', Sentence: 'University Police Department consists of the Chief and Assistant Chief of Police as administrators , sworn law enforcement officers .'
[A]: consists
[Q]: Given Relationship: 'be back', Sentence: 'Her speech was interrupted a couple of times as the crowd voiced its displeasure with her backing Hillary Clinton over Barack Obama .'
[A]: | backing
| 5 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.1769896149635315,
0.3906853199005127,
-0.22153054177761078,
-0.38656535744667053,
-0.40672463178634644,
-1.210389494895935,
0.2998378872871399,
0.3211042284965515,
0.465099036693573,
-0.020282819867134094,
-0.1859842985868454,
1.1647272109985352,
-0.2675324082374573,
0.8062431812286377,... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
Feeling himself in an ignominious position, Joseph then proposed his own abdication from the Spanish throne, hoping that Napoleon would sanction his return to the Neapolitan Throne he had formerly occupied. Napoleon dismissed Joseph's misgivings out of hand; and, to back up the raw and ill-trained levies _he_had initially allocated to Spain--the Emperor sent heavy French reinforcements to assist Joseph in maintaining his position as king of Spain. <sep>, Pronoun: he
Output: | Napoleon | 1 | NIv2 | task330_gap_answer_generation | zs_opt | [
-0.42225387692451477,
0.8453992009162903,
0.40311652421951294,
-0.06031997501850128,
0.15903106331825256,
-0.05150749161839485,
1.6345722675323486,
0.914149820804596,
0.25991177558898926,
-0.11462733894586563,
-0.4348616600036621,
0.15620575845241547,
-0.6972945332527161,
-0.45745646953582... |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Input: Pozwólcie, że wam je przedstawię. Pierwsza: pewność.
Output: | Lasciatemi dire quali sono. Primo: la certezza. | 3 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.08571560680866241,
1.122415542602539,
-0.3662579357624054,
-0.35802021622657776,
-0.300617516040802,
-0.6666883230209351,
1.2347946166992188,
-0.010530086234211922,
0.26842638850212097,
-0.22672784328460693,
-0.6951080560684204,
-0.09681300818920135,
-0.5850489139556885,
0.2192741632461... |
Given the task definition, example input & output, solve the new input case.
In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Example: Passage: Nearing London, Oliver encounters Jack Dawkins, a pickpocket more commonly known by the nickname the "Artful Dodger", and his sidekick, a boy of a humorous nature named Charley Bates, but Oliver's innocent and trusting nature fails to see any dishonesty in their actions. The Dodger provides Oliver with a free meal and tells him of a gentleman in London who will "give him lodgings for nothing, and never ask for change". Grateful for the unexpected assistance, Oliver follows the Dodger to the "old gentleman's" residence. In this way Oliver unwittingly falls in with an infamous Jewish criminal known as Fagin, the gentleman of whom the Artful Dodger spoke. Ensnared, Oliver lives with Fagin and his gang of juvenile pickpockets in their lair at Saffron Hill for some time, unaware of their criminal occupations. He believes they make wallets and handkerchiefs.
Question: Who believes Fagin's gang make wallets and handkerchiefs?
Output: Oliver.
In the sentence "He believes they make wallets and handkerchiefs", the pronoun "he" refers to name "Oliver".
New input case for you: Passage: In Jerusalem, a rabbi named Rostenburg is using software he designed to decode seventy eschatological prophecies hidden within the Torah. Rostenburg has handwritten each one in a journal, to be entered into the program for deciphering. The program deciphers a prophecy which says that he is about to die; immediately, he tears the page containing the final code from his journal, hiding it in his shirt pocket. He is then shot and killed by an assassin, who takes his journal and the optical disc containing the decoding program. After the assassin leaves, two mysterious men (later revealed to be two prophets) retrieve the journal page Rostenburg had hidden.
Television reporter and talk show host Cassandra Barris introduces Dr. Gillen Lane as her show's guest. Lane is a popular author and charismatic motivational speaker who explains that codes hidden in the Old Testament describe events past, present, and future; he sees no contradiction between this belief and his dismissal of religious faith.
Media mogul and European Union Chairman Stone Alexander receives a humanitarian award in Rome for having all but eliminated world hunger through advances in nutritional technology. There, we see that the man who killed Rostenburg and stole his decoding software is Alexander's apprentice, Dominic. Dr. Lane is in attendance, seeking to meet with Alexander "to discuss some ideas." Cassandra, employed by one of Alexander's television networks, is also in attendance, providing Lane brief conversation after Alexander spurns him. Some time afterward, however, Alexander sees a prophecy (deciphered with Rostenberg's program) that leads him to ask Lane to become his Minister of Information.
Question: What has Rostenburg handwritten each one of in a journal?
Output: | seventy eschatological prophecies. | 1 | NIv2 | task002_quoref_answer_generation | fs_opt | [
0.6078124642372131,
0.3257827162742615,
-0.33332574367523193,
-0.11100151389837265,
0.49565666913986206,
-0.05192761868238449,
0.5379202365875244,
0.5861445665359497,
0.1555716097354889,
0.29299381375312805,
-0.33373570442199707,
0.8479393720626831,
-0.538972020149231,
0.5450685024261475,
... |
Given the task definition and input, reply with output. You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit; (c) it does not contain three repeating characters in a row. In one step you can: (1) Insert one character to password, (2) delete one character from password, or (3) replace one character of password with another character.
password = zGIDLTLHQe5DGAq3MFtw9V.ZlpkxMg6ng
| 13 | 5 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.18789522349834442,
1.1672887802124023,
0.17307177186012268,
-0.41881227493286133,
-0.03365514427423477,
-0.4640766680240631,
1.2944447994232178,
-0.3527911305427551,
0.11357658356428146,
-0.942375659942627,
-0.0522485189139843,
-0.1181366965174675,
-0.8509104251861572,
-0.263835132122039... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and report that option.
Q: Question: .002/?= .01
Option A: .2
Option B: .09
Option C: .009
Option D: .0009
Option E: None of them
A: Option A
****
Q: Question: A car dealership has 40 cars on the lot, 30% of which are silver. If the dealership receives a new shipment of 80 cars, 40% of which are not silver, what percentage of total number of cars are silver?
Option A: 35%
Option B: 37.5%
Option C: 45%
Option D: 47.5%
Option E: 50%
A: Option E
****
Q: Question: Each of the 11 letters A, H, I, M, O, T, U, V, W, X and Z appears same when looked at in a mirror. They are called symmetric letters. Other letters in the alphabet are asymmetric letters. How many two letter computer passwords can be formed (no repetition allowed) with at least one symmetric letter?
Option A: 2,420
Option B: 6,435
Option C: 12,100
Option D: 12,870
Option E: 25,740
A: | Option A
****
| 4 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.16135209798812866,
0.3263089656829834,
-0.2567007541656494,
-0.20307254791259766,
0.05473366007208824,
0.692870020866394,
0.2591129243373871,
0.7924631834030151,
0.30813103914260864,
-0.3749100863933563,
-0.46793991327285767,
-0.395496129989624,
0.31001514196395874,
-0.21338121592998505,... |
Given the task definition, example input & output, solve the new input case.
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Example: ভুয়ো সংস্থাগুলির ব্যাপারে ভয় দূর করতে গঠিত টাস্কফোর্স উপযুক্ত ও সমন্বয়মূলক ব্যবস্থা গ্রহণ করেছে। এই টাস্কফোর্স গঠিত হওয়ার পর থেকে আটবার বৈঠক হয়েছে।
Output: ਵੂ ਕੰਪਨੀਆਂ ਦੇ ਡਰ ਨੂੰ ਦੂਰ ਕਰਨ ਲਈ ਬਣਾਈ ਗਈ ਟਾਸਕਫੋਰਸ ਨੇ ਉਚਿਤ ਅਤੇ ਤਾਲਮੇਲ ਦੇ ਉਪਾਅ ਕੀਤੇ ਹਨ.ਇਸ ਟਾਸਕ ਦੇ ਗਠਨ ਤੋਂ ਬਾਅਦ ਅੱਠ ਵਾਰ ਦੀ ਮੀਟਿੰਗ ਹੁੰਦੀ ਹੈ.
Correct translation for given sentence. Input sentence means 'The taskforce formed to remove fear of Voo companies has taken appropriate and coordinating measures.Since the formation of this taskforce, there is a meeting of eight times.' which is the same as the output sentence.
New input case for you: আমাদের স্বামী বিবেকানন্দের অনুপ্রেরণায় নতুন ভারত গড়ে তুলতে হবে।
Output: | ਸੁਆਮੀ ਵਿਵੇਕਾਨੰਦ ਦੀ ਪ੍ਰੇਰਣਾ ਨਾਲ ਸਾਨੂੰ ਇੱਕ ਨਵੇਂ ਭਾਰਤ ਦਾ ਨਿਰਮਾਣ ਕਰਨਾ ਹੈ। | 1 | NIv2 | task1025_pib_translation_bengali_punjabi | fs_opt | [
-0.10585294663906097,
0.16335496306419373,
-0.31169819831848145,
0.5615487098693848,
0.273612380027771,
-0.4104188084602356,
1.0349979400634766,
0.8610432147979736,
-0.04068373143672943,
0.5188189744949341,
-1.009415864944458,
-0.4172721207141876,
-0.10577093809843063,
-0.05672790855169296... |
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: و او یکی از مورد احترام ترین محققین در زمینه ی مورد بحث است.
Student: | Era o científico máis respectado do seu campo. | 6 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-0.6533345580101013,
0.5574778914451599,
-0.09133385866880417,
-0.5889828205108643,
-0.7711297869682312,
-0.3693627119064331,
0.464832067489624,
0.1341772973537445,
0.21563252806663513,
-0.5833570957183838,
-0.32522153854370117,
0.7002202272415161,
-0.24218344688415527,
0.1401565968990326,... |
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 classification of each word from the labels (reason) = [NO_DIFF (correct), CASE_DIFF (case error), PUNCUATION_DIFF (punctuation error), CASE_AND_PUNCUATION_DIFF (both case and punctuation error), STEM_BASED_DIFF (stem word error), DIGIT_DIFF (digit error), INTRAWORD_PUNC_DIFF (intra-word punctuation error), and UNKNOWN_TYPE_DIFF (an error that does not corrrespond to the previous categories)].
Input: Consider Input: ['okay', 'so', 'deciding', 'whether', 'to', 'retake', 'the', 'test', 'or', 'not', 'a', 'majority', 'of', 'students', 'do', 'improve', 'their', 'test', 'scores', 'when', 'they', 'take', 'it', 'a', 'second', 'time', 'in', 'my', 'experience', 'students', 'relax', 'a', 'little', 'bit', 'more', "you've", 'seen', 'it', 'once', 'already', 'so', 'you', 'tend', 'to', 'do', 'a', 'little', 'bit', 'better', 'on', 'that', 'second', 'time', 'through', 'so', 'should', 'you', 'retake', 'it', 'a', 'couple', 'questions', 'you', 'may', 'want', 'to', 'ask', 'yourself', 'and', 'probably', 'comes', 'to', 'maybe', 'four', 'different', 'points', 'first', 'point', 'is', 'you', 'know', 'look', 'at', 'how', 'you', 'did', 'and', 'then', 'you', 'know', 'compare', 'that', 'with', 'some', 'of', 'the', 'schools', 'that', "you're", 'really']
Output: ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', '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', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_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', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', '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']
Input: Consider Input: ['ancient', 'Greek', 'sculptures', 'bronze', 'or', 'marble', 'or', 'frozen', 'but', 'that', "doesn't", 'mean', 'that', 'the', 'inter', 'Greeks', "didn't", 'want', 'to', 'convey', 'movement', 'in', 'this', 'case', 'movement', 'that', 'you', "couldn't", 'even', 'see', 'with', 'the', 'naked', 'eye', 'what', "we're", 'looking', 'at', 'is', 'a', 'sculpture', 'by', 'an', 'artist', 'whose', 'name', 'is', 'Myron', "we've", 'lost', 'his', 'original', 'but', 'we', 'have', 'a', 'later', 'Roman', 'marble', 'copy', 'of', 'the', 'discus', 'thrower', 'the', 'original', 'was', 'in', 'bronze', 'from', 'the', '5th', 'century', 'BCE', 'about', '450', '460', 'and', 'what', "we're", 'looking', 'at', 'is', 'one', 'of', 'many', 'Roman', 'copies', 'in', 'fact', "there's", 'one', 'next', 'to', 'the', 'other', 'in', 'this', 'museum', 'a']
Output: ['NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'UNKNOWN_TYPE_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_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', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_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', 'DIGIT_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', 'PUNCUATION_DIFF', 'CASE_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF']
Input: Consider Input: ['here', 'at', 'Pioneer', 'middle', 'we', 'have', 'a', 'diverse', 'group', 'of', 'students', 'focus', 'on', 'six', 'through', 'eighth', 'grade', 'good', 'job', 'when', 'it', 'comes', 'to', 'miss', 'Grubbs', 'she', 'is', 'so', 'creative', 'one', 'of', 'the', 'resources', 'she', 'has', 'used', 'is', 'Khan', 'Academy', 'with', 'the', 'learn', 'storm', 'this', 'class', 'mainly', 'focuses', 'on', 'students', 'with', 'learning', 'needs', 'so', 'we', 'have', 'to', 'come', 'up', 'with', 'alternative', 'strategies', 'to', 'kind', 'of', 'try', 'to', 'help', 'those', 'students', 'learn', 'storm', 'is', 'an', 'excellent', 'resource', 'for', 'differentiation', 'differentiation', "it's", 'one', 'of', 'the', 'most', 'difficult', 'things', 'to', 'accomplish', 'they', 'expect', 'you', 'to', 'have', 'one', 'person', 'to', 'service', '30', 'people', 'individually', 'I']
| Output: ['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', 'UNKNOWN_TYPE_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'UNKNOWN_TYPE_DIFF', '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', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF']
| 2 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.4454410672187805,
-0.17625290155410767,
-0.0755796730518341,
-0.22675427794456482,
0.4604628086090088,
-0.2781420350074768,
0.8094003200531006,
1.139991044998169,
-0.438073068857193,
0.01055498979985714,
0.08638433367013931,
-0.23444047570228577,
-0.3250417113304138,
-0.142666757106781,
... |
You will be given a definition of a task first, then some input of the task.
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.
Sentence: 'a cecil rd sign is up against a brick wall'. How many words end with the letter 'l' in the sentence.
Output: | 2 | 1 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
0.01022464781999588,
1.259893774986267,
0.24285542964935303,
-0.42442065477371216,
-0.20350202918052673,
0.44468364119529724,
-0.13536053895950317,
0.43326157331466675,
-0.033508721739053726,
-0.6707713603973389,
-0.17749135196208954,
-0.28241395950317383,
-0.2503897547721863,
0.1392372399... |
Definition: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX causes ___ in patients<sep>Tail: to help them
Output: | Yes | 2 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.3289680480957031,
0.1135275810956955,
0.20197513699531555,
-0.4965977668762207,
-0.3646566867828369,
-0.7757194638252258,
1.4070756435394287,
0.3933597207069397,
-0.3169872760772705,
-0.47499746084213257,
-0.5712661147117615,
-0.04461328685283661,
-0.5952702164649963,
0.3880484700202942,... |
Detailed Instructions: In this task, you are given a list of unique integers you need to swap the positions of maximum and minimum element in the list and return the updated list.
Problem:[145, 414, 184, 316, 312, 330, 434, 182, 365, 119, 224, 393, 498, 19, 460, 157, 388, 57, 465, 315]
Solution: | [145, 414, 184, 316, 312, 330, 434, 182, 365, 119, 224, 393, 19, 498, 460, 157, 388, 57, 465, 315] | 8 | NIv2 | task1151_swap_max_min | zs_opt | [
-0.14914348721504211,
-0.05078602582216263,
-0.2445400357246399,
-0.49895191192626953,
-0.6519306898117065,
-0.06564539670944214,
1.1676814556121826,
-0.1416882872581482,
-0.46592116355895996,
-0.12459743022918701,
-0.7769479751586914,
-0.23525044322013855,
-0.07023589313030243,
0.06454592... |
Definition: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Input: is The Boondock Saints considered good?
Output: | good | 2 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.5472303628921509,
0.0022617303766310215,
-0.6921352744102478,
0.005590683780610561,
-0.23182585835456848,
-0.19555114209651947,
0.9265718460083008,
-0.2805088758468628,
0.6307977437973022,
-0.1951799988746643,
-0.437636137008667,
0.3126489520072937,
-0.5305749177932739,
-0.0921310558915... |
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "False" if the explanation disproves the statement. The statement and explanation are separated by a newline character.
Ducks hunt and eat elephants when they are hungry.
Elephants are way too big for ducks to eat them | False | 0 | NIv2 | task403_creak_commonsense_inference | zs_opt | [
-0.4858894646167755,
0.40858858823776245,
0.006047415547072887,
-0.10189267247915268,
-1.1161813735961914,
-0.8835192918777466,
0.693148136138916,
0.26699283719062805,
0.026977721601724625,
-0.394474059343338,
-0.3757076859474182,
-0.23636682331562042,
-0.7680110335350037,
0.25843387842178... |
Teacher:In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Teacher: Now, understand the problem? Solve this instance: [33, 90, -81, -5, -23, -85, -45, -41, 26, -14, -69, -55]
Student: | [57, 171, 76, 18, 62, 40, 4, 67, 40, 55, 14] | 6 | NIv2 | task125_conala_pair_differences | zs_opt | [
-0.7926753759384155,
-0.16567887365818024,
0.019423961639404297,
-0.14227546751499176,
-0.42211219668388367,
-0.33577001094818115,
0.8525310754776001,
0.6025275588035583,
0.5831982493400574,
-0.026112401857972145,
0.01273429486900568,
-0.8073176145553589,
-0.36520540714263916,
-0.045971002... |
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.
Sentence 1: Temple Bar is also home to a wealth of artists and musicians, and there are crafts and art workshops, galleries, and music centers. Sentence 2: Temple Bar is completely devoid of any musicians or artists. | travel | 0 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-1.0428903102874756,
0.8291342258453369,
-0.365314245223999,
-0.0655156672000885,
-0.11384756863117218,
0.13342376053333282,
-0.3541722893714905,
0.8373051285743713,
0.11406899988651276,
0.3419944643974304,
0.006369815208017826,
0.04075244814157486,
-0.5601514577865601,
-0.3506013154983520... |
Instructions: In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent.
Input: Sentence1: Kaylee always wanted a puppy. Sentence2: On her birthday her parents took her to a farm. Sentence3: There were lots of beagle puppies there. Sentence4: Her parents told her she could pick a puppy for her birthday.
(A) Kaylee was thrilled! (B) Kaylee was really disappointed.
Output: | A | 3 | NIv2 | task296_storycloze_correct_end_classification | zs_opt | [
-0.6622713804244995,
0.8319107890129089,
-0.16661864519119263,
-0.4450567960739136,
-0.4347895383834839,
-0.511510968208313,
0.73664391040802,
0.11581826210021973,
-0.4652408957481384,
0.26795458793640137,
-0.4360033869743347,
-0.3407596945762634,
0.26108673214912415,
-0.033537574112415314... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Example: Pero comenzamos con la idea de un niño por vez.
Output: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
The Spanish sentence is correctly translated into Hebrew, because the meaning is preserved.
New input case for you: y terminamos con cosas de las que hemos escuchado antes: mareas rojas por ejemplo, que son cumulos de algas toxicas flotando en los océanos causando daños neurológicos.
Output: | ובסוף נקבל את כל הדברים ששמענו עליהם: גאות אדומה, למשל, שהן תפרחות של אצות רעילות שצפות בים וגורמת נזק למערכות עצבים. | 1 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.786989152431488,
0.2796165347099304,
-0.08730270713567734,
-0.17697402834892273,
-0.235702246427536,
0.36408260464668274,
0.567680835723877,
0.738368034362793,
0.09637212753295898,
-0.15343131124973297,
0.18762093782424927,
0.10624144971370697,
-0.42378661036491394,
-0.1788296401500702,... |
Instructions: In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "False" if the explanation disproves the statement. The statement and explanation are separated by a newline character.
Input: A Child actor got her start on Disney Channel.
Disney channel is famous for being the starting point for many child actors.
Output: | True | 3 | NIv2 | task403_creak_commonsense_inference | zs_opt | [
-0.2630029618740082,
0.4794589579105377,
-0.3823419213294983,
0.11333075910806656,
-0.3399682641029358,
-0.1670200526714325,
0.737341046333313,
0.7414546608924866,
0.15128959715366364,
-0.43642160296440125,
0.2264353632926941,
-0.38855287432670593,
-0.6105813980102539,
-0.10377015173435211... |
Instructions: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. You can use context to find the motivation; however, all the inputs do not provide context. Also, in some inputs, there can be zero motivation; output, 'None' in this case.
Input: Context: A family invited some people over for Easter.
Sentence: They had a dinner together.
Character: People
Output: | to enjoy company | 3 | NIv2 | task294_storycommonsense_motiv_text_generation | zs_opt | [
-0.5457068681716919,
0.4983483552932739,
-0.26255032420158386,
-0.34053945541381836,
0.1209474503993988,
-0.2029796987771988,
0.7698225975036621,
0.26971521973609924,
0.4132803678512573,
-0.3095346689224243,
-0.07103828340768814,
-0.38278669118881226,
-0.06805232912302017,
-0.1477972716093... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
One example: 全て肋骨の間から行うのです
Solution is here: Wszystko jest robione pomiędzy żebrami.
Explanation: The Japanese sentence is correctly translated into Polish, because the meaning is preserved.
Now, solve this: その次は折れたオールの１本を解体して使いました
Solution: | A kiedy i te się popsuły, rozmontowałam połamane wiosło. | 6 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
0.4253136217594147,
1.015331506729126,
-0.5910010933876038,
0.38614583015441895,
-0.13139298558235168,
0.022281287238001823,
1.2656233310699463,
-0.22772768139839172,
-0.1992594301700592,
-0.3194864094257355,
-0.06452347338199615,
0.2742924690246582,
-0.6789935827255249,
0.7578677535057068... |
Part 1. Definition
A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
Part 2. Example
20% हून कमी शेतकऱ्यांना याचा लाभ झाला
Answer: কম কৃষক ২0% থেকে উপকৃত
Explanation: Correct translation for given sentence. Input sentence means 'Less farmers benefited from 20%' which is the same as the output sentence.
Part 3. Exercise
जर त्याला विडी ओढायची सवय असेल तर तो दिवसभरात दोन रुपयांची विडी तर ओढतच असेल.
Answer: | আপনারা বলুন, তা হলে কৃষকের রোজগার বাড়বে কি বাড়বে না? | 7 | NIv2 | task1062_pib_translation_marathi_bengali | fs_opt | [
-0.7461944818496704,
0.4067251980304718,
-0.34485557675361633,
0.3743002414703369,
-0.35308998823165894,
-0.7888006567955017,
0.8605736494064331,
0.9375191926956177,
-0.08337679505348206,
-0.0382588729262352,
-1.3104896545410156,
-0.17158465087413788,
-0.469330757856369,
-0.067008748650550... |
Given the task definition and input, reply with output. In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice number of the selected sentence.
Statement: However, to examine the effect of matching interventionists and patients would require randomizing large numbers of patients to a large number of interventionists. Choices: 1. This procedure would yield interesting results. 2. Randomizing would not be necessary. 3. A large number of patients and interventionists would have to be randomized.
| 3 | 5 | NIv2 | task200_mnli_entailment_classification | zs_opt | [
-0.02746415324509144,
0.5572203397750854,
0.12978550791740417,
-0.4084521532058716,
-0.017833517864346504,
0.053742099553346634,
0.47851869463920593,
0.6949198246002197,
0.420379102230072,
0.10555639863014221,
-0.8114429712295532,
0.3967178463935852,
-0.2406732439994812,
-0.292564988136291... |
instruction:
Given a sentence in Arabic, generate a new Arabic sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
question:
« إن أردتم أن تُحرقوا ناراً فعليكم أن تُصَدِّقوا » بالبناء للمفعول والفاعل ، أي تُصَدِّقوا.
answer:
« إن تصبروا » يا كفار مكة « نارا » نارا « فتكونوا مثلها » أي مثلها.
question:
من المحتمل أن تجد زوجة في سرير صديقك المفضل
answer:
« ستجدون » يا أهل مكة « امرأة » زوجة « في جسد الصديق ».
question:
من المرجح ان تجد صوتا في الموسيقى.
answer:
| يحق لك أن تجد حياة كاملة في الموسيقى.
| 9 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | fs_opt | [
-0.42956194281578064,
0.865830659866333,
-0.2851778268814087,
-0.34217363595962524,
-0.6972711682319641,
-0.24533876776695251,
1.2448101043701172,
0.24765042960643768,
0.20314598083496094,
-0.5244711637496948,
-0.7864862084388733,
0.0047403969801962376,
-1.2355890274047852,
0.1244671270251... |
instruction:
In this task, you are given a fact statement and question based on the fact. Your task is to generate the correct answer for the question. The answer needs to be generated using the context fact statement.
question:
Fact: plant requires seed dispersal for reproduction. Question: Which of the following substances likely contains plant seeds?
answer:
poop
question:
Fact: if liquid is boiling then that liquid is hot. Question: Water is bubbling. What characteristic is it likely to have?
answer:
intense heat
question:
Fact: thermal conduction is when materials conduct heat through those materials. Question: Thermal conduction is when materials conduct what through those materials?
answer:
| hotness
| 9 | NIv2 | task1399_obqa_answer_generation | fs_opt | [
0.0229816697537899,
0.3915908634662628,
-0.429322212934494,
0.37374603748321533,
-0.5441203117370605,
-1.376867413520813,
-0.018905598670244217,
0.2600415349006653,
-0.39557549357414246,
-0.4160519540309906,
-0.714718222618103,
0.2462209165096283,
-0.8066995143890381,
0.004400290548801422,... |
Detailed Instructions: In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
See one example below:
Problem: [73, 30, 71, 47, -65, 50, -90, -60]
Solution: 163
Explanation: The maximum absolute difference is 163 because '|-90 - 73| = 163' which is the maximum possible absolute difference. So this is a good example.
Problem: [35, -89, 2, -81, -13, 63, -4]
Solution: | 152 | 4 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.15721340477466583,
0.022008460015058517,
0.1704472005367279,
-0.05436111241579056,
-0.0619523786008358,
-0.5030225515365601,
0.7970702648162842,
0.30657699704170227,
0.48895886540412903,
-0.19892358779907227,
-0.12517112493515015,
-0.15031424164772034,
-0.37016478180885315,
-0.182134449... |
instruction:
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned in the passage
(ii) create questions which require information beyond what is provided in the passage in order to answer
(iii) replace an existing entity, number, date mentioned in the passage with other entity, number, date and use it in the question
(iv) create a question which is answerable from the passage and then replace one or two words by their antonyms or insert/remove negation words to make it unanswerable.
question:
Passage: The traditional energy supply of Thuringia is lignite, mined in the bordering Leipzig region. Since 2000, the importance of environmentally unfriendly lignite combustion has declined in favour of renewable energies, which reached an amount of 40% (in 2013), and more clean gas combustion, often carried out as Cogeneration in the municipal power stations. The most important forms of renewable energies are Wind power and Biomass, followed by Solar energy and Hydroelectricity. Furthermore, Thuringia hosts two big pumped storage stations: the Goldisthal Pumped Storage Station and the Hohenwarte Dam.
answer:
What is Thuringia's new energy supply?
question:
Passage: It is commonly believed that the earlier a defect is found, the cheaper it is to fix it. The following table shows the cost of fixing the defect depending on the stage it was found. For example, if a problem in the requirements is found only post-release, then it would cost 10–100 times more to fix than if it had already been found by the requirements review. With the advent of modern continuous deployment practices and cloud-based services, the cost of re-deployment and maintenance may lessen over time.
answer:
What is the unpopular belief about the cost of fixing a bug?
question:
Passage: However, it is important to understand that despite the presence of reception statutes, much of contemporary American common law has diverged significantly from English common law. The reason is that although the courts of the various Commonwealth nations are often influenced by each other's rulings, American courts rarely follow post-Revolution Commonwealth rulings unless there is no American ruling on point, the facts and law at issue are nearly identical, and the reasoning is strongly persuasive.
answer:
| Much of American common law is similar to what?
| 9 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.5552588701248169,
0.8154237866401672,
-0.15639078617095947,
-0.07102977484464645,
0.24471762776374817,
-0.7892045378684998,
0.7263070344924927,
1.361337423324585,
-0.22218912839889526,
0.27749836444854736,
-0.09496071934700012,
0.14223244786262512,
-1.1020421981811523,
0.3847279250621795... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Q: Who directed the 2001 film `Black Hawk Down`?
A: | black hawk down | 4 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.03571122884750366,
0.33417439460754395,
0.10035814344882965,
-0.11742576956748962,
-0.4693363606929779,
0.6273268461227417,
0.46955937147140503,
-0.18456639349460602,
0.15246033668518066,
-0.052691198885440826,
-0.6610708832740784,
-0.14791706204414368,
-0.5961974859237671,
0.45362988114... |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
One example: در ابتدا، خدا آسمانها و زمین را آفرید.
Solution is here: In the beginning God created the heaven and the earth.
Explanation: This is a good example. The above sentence is correctly translated from Persian to English.
Now, solve this: کره خود رابه تاک و کره الاغ خویش را به مو بسته. جامه خودرا به شراب، و رخت خویش را به عصیر انگورمی شوید.
Solution: | Judah is a lion's whelp: from the prey, my son, thou art gone up: he stooped down, he couched as a lion, and as an old lion; who shall rouse him up? | 6 | NIv2 | task654_bible_fa_en_translation | fs_opt | [
-0.5220350623130798,
1.5593106746673584,
-0.32188114523887634,
0.00778890261426568,
-1.0603914260864258,
-0.3659036159515381,
0.7092486619949341,
0.7071731686592102,
0.11691620945930481,
0.02145732194185257,
-0.9275311827659607,
0.4780907928943634,
-0.6530671119689941,
0.05253849923610687,... |
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 Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
देश के अलग-अलग इलाकों में जितना ज्यादा इंफ्रास्ट्रक्चर मजबूत होगा, संपर्क सुगम होगा, जितना ज्यादा ट्रांसपोर्ट के अलग-अलग माध्यम एक दूसरे को सपोर्ट करेंगे, उतना ही लोगों का जीवन आसान बनेगा, व्यापार के नए अवसर बनेंगे, रोजगार के नए अवसर बनेंगे।
Solution: દેશના વિવિધ વિસ્તારોમાં વધુ ઇન્ફ્રાસ્ટ્રક્ચર મજબૂત બનશે, સંપર્કનો સામનો કરવો પડશે, એટલું જ નહીં, કારણ કે પરિવહનના વિવિધ માધ્યમ એકબીજાને ટેકો આપશે, લોકોનું જીવન સરળ બનશે, રોજગાર માટે નવી તકો બનશે..
Why? Correct translation for given sentence. Input sentence means 'The more infrastructure will be strong in different areas of the country, the contact will be facilitated, as much as the different medium of transport will support each other, the life of the people will become easier, will become new opportunities for employment..' which is the same as the output sentence.
New input: उन्होंने कहा कि विक्रम साराभाई ने आधुनिक विज्ञान, भौतिक अनुसंधान और परमाणु ऊर्जा इत्यादि क्षेत्रों में संस्थानों की स्थापना के जरिए आधुनिक भारत के निर्माण में बहुत बड़ा योगदान दिया है।
Solution: | આ કાર્યક્રમ આજથી શરૂ કરીને ભારતભરના 100 પસંદ કરાયેલા શહેરોમાં હાથ ધરવામાં આવશે જે 12મી ઓગસ્ટ, 2020ના રોજ થિરુવનંતપુરમ ખાતે સમાપન કાર્યક્રમ સાથે સમાપ્ત થશે. | 0 | NIv2 | task1034_pib_translation_hindi_gujarati | fs_opt | [
0.23654653131961823,
0.2827388048171997,
0.6267925500869751,
-0.15806201100349426,
0.008087832480669022,
-0.2720724046230316,
0.5034360885620117,
0.7213912606239319,
-0.28304338455200195,
-0.3103262782096863,
-0.7635360956192017,
0.17381823062896729,
-0.01752772182226181,
0.110986024141311... |
Detailed Instructions: In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into two classes: stereotype or anti-stereotype.
See one example below:
Problem: Passage: He couldn't figure out the issue with the rope, but he tried not to get too down on himself, most black kids don't have the best education growing up.
Solution: Stereotype
Explanation: This is a stereotype because it is a common mental picture that black kids do not receive proper education growing up.
Problem: Passage: Sarah screamed and tightly clung to the person next to her.
Solution: | Stereotype | 4 | NIv2 | task316_crows-pairs_classification_stereotype | fs_opt | [
0.08289023488759995,
0.3843806982040405,
-0.010568084195256233,
0.04969052970409393,
-0.10632294416427612,
0.062359098345041275,
0.5218122005462646,
1.2108163833618164,
0.40258973836898804,
-0.13700148463249207,
-0.5390135049819946,
-0.18954667448997498,
-0.8896104693412781,
-0.30893456935... |
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