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Part 1. Definition In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any external knowledge. Subjective questions are not allowed. Short answers containing words that are present in the passage are preferred. Create questions that result in factoid answers. A simple rule of thumb to decide whether a question is a factoid or not is to see if two different people with average reading/comprehension skills would come up with the same answer after reading the passage. Part 2. Example Twenty-year-old Will Hunting of South Boston is a self-taught, genius-level intellect, though he works as a janitor at the Massachusetts Institute of Technology and spends his free time drinking with his friends, Chuckie (Ben Affleck), Billy (Cole Hauser) and Morgan (Casey Affleck). When Professor Gerald Lambeau (Stellan Skarsgård) posts a difficult mathematics problem as a challenge for his graduate students, Will solves the problem anonymously, stunning both the graduate students and Lambeau himself. As a challenge to the unknown genius, Lambeau posts an even more difficult problem. Lambeau chances upon Will solving the problem but Will flees the scene. That night at a bar, Will meets Skylar (Minnie Driver), a British student about to graduate from Harvard, who plans on attending medical school at Stanford and gives Will her phone number before leaving. Answer: Question: How old is Will Hunting in the movie ?, Answer: Twenty years Explanation: This is a good question which results in a factoid answer, and the answer is correct too. Part 3. Exercise An armed gunman causes a hostage situation at a Los Angeles grocery store. When negotiations between him and the law fail, Marion Cobretti (codenamed "Cobra") (Sylvester Stallone), a member of an elite division of the Los Angeles Police Department known as the "Zombie Squad", is summoned to the scene. Cobretti infiltrates the store, locates, and negotiates with him. During the negotiation, the criminal speaks of the unknown "New Order", a group of social darwinist radicals that despise modern society and believe in killing the weak, leaving only the strongest and smartest to rule the world. Cobretti then kills the gunman by throwing a knife at his abdomen and firing shots at him.As the bodies are removed from the supermarket, Cobretti is admonished by Detective Monte (Andrew Robinson) for his seeming disregard for police procedures and protocols. Harassed by reporters, Cobretti admonishes them for failing to put the safety of potential victims first. Little does everyone realize at the time is that the supermarket hostage crisis is only one of a string of recent and seemingly unconnected acts of violence and murder that have broken loose in Los Angeles, perpetrated by the same supremacist group the supermarket gunman mentioned.After witnessing several individuals going on a spree killing, including the New Order leader, only identified as 'The Night Slasher' (Brian Thompson), model and businesswoman Ingrid Knudsen (Brigitte Nielsen) becomes the group's main target due to her being the only living witness to their crimes. After a failed attempt on her by the group, she is placed under the protective custody of Cobretti and his partner, Sergeant Tony Gonzales (Reni Santoni). Several more attempts are made on their lives by various people connected to the Order. Cobretti theorizes that there is an entire army of killers operating with the same modus operandi rather than a lone serial killer with some associates, but his suggestion is rebuffed by his superiors. However, the LAPD agrees with Cobretti that it will be safest if he and Knudsen relocate from the city.Cobretti becomes romantically involved with Ingrid shortly after venturing out into the countryside, but one of the Order's leaders, Nancy Stalk (Lee Garlington), a police officer escorting the Cobretti party, reveals the location of their whereabouts. Despite Cobretti's suspicions and mistrust of Nancy, he does nothing and stays the night in a motel. The Order moves in at dawn and besieges the small town. With barely enough time to react, the attackers storm Cobretti and Ingrid's motel, wounding Gonzales in the process. Killing several members but with more swarming into the town, Cobretti and Ingrid escape in a pickup truck. After the truck becomes severely damaged from the chase, the two travel on foot into a lemon grove and escape into a nearby derelict factory.Cobretti has defeated most of the Order by this point, with the few remaining members following them into the building. After eliminating every member except for the Night Slasher himself, he and Cobretti engage in a hand-to-hand fight inside the steel mill, ending with the Night Slasher being impaled in the back by a large roaming hook and burned alive by Cobretti.In the aftermath, Cobretti's department arrives and begins clean-up of the town, giving medical aid to Gonzales. Detective Monte (Andrew Robinson) appears apologetic but confronts Cobretti again about his lack of regard to police protocols, offering to discuss the issue over a long dinner. Cobretti punches Monte instead, and the ending credits begin as Cobretti and Ingrid climb onto one of the motorcycles left by the Order and ride away. Answer:
Question: Where did Night Slasher and Cobretti engage in hand-to-hand combat?, Answer: Steel mill
7
NIv2
task182_duorc_question_generation
fs_opt
[ 0.6071363091468811, 0.25717300176620483, -0.18355241417884827, 0.026334520429372787, 0.4121880531311035, -0.037095874547958374, 0.7397339344024658, 0.6652724742889404, 0.21050509810447693, -0.04510417580604553, -0.42628636956214905, -0.07056892663240433, -0.5231539011001587, 0.155950739979...
This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done. Input: Consider Input: En er is weinig wat hij kan doen om het saillante daarvan te verzachten. Output: E há pouco que ele possa fazer para diminuir a importância disso. Input: Consider Input: Zoals altijd lijden vrouwen en kinderen het meest. Output: Como sempre acontece, são as mulheres e as crianças quem mais sofre. Input: Consider Input: Wetenschappers moeten hun mond opendoen, zoals ze dat onlangs in Engeland hebben gedaan, waar onderzoekers die een nieuw soort tarwe ontwikkelden de actievoerders tegen GM hebben uitgedaagd voor een publieke discussie.
Output: Os cientistas devem pronunciar-se, tal como o fizeram recentemente em Inglaterra, onde os investigadores que ensaiavam uma nova variedade de trigo desafiaram os defensores anti-transgénicos para um debate público.
2
NIv2
task1375_newscomm_translation
fs_opt
[ -0.5728306770324707, 0.787986695766449, 0.07329059392213821, -0.5046530961990356, -0.2884843349456787, -0.6093530654907227, -0.16910922527313232, 1.1319270133972168, 1.185626745223999, 0.24966587126255035, -0.6975452303886414, 1.0621472597122192, -0.5267958641052246, -0.30480873584747314, ...
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j. Input: Consider Input: 6, 11, ['f', '9327', '2185', '1707', 'F', '5317', '3457', '9655', 'K', 'X', 'x'] Output: 5317, 3457, 9655, K, X, x Input: Consider Input: 5, 6, ['127', '9271', '1945', '3007', 'C', '6635', 'D'] Output: C, 6635 Input: Consider Input: 9, 20, ['D', '5669', 'J', 'I', 'h', '9727', 'd', '8945', '5683', '9407', '8027', '2213', '8515', '7757', '8097', '5083', 'u', '1563', 'f', '7795', 't']
Output: 5683, 9407, 8027, 2213, 8515, 7757, 8097, 5083, u, 1563, f, 7795
2
NIv2
task091_all_elements_from_index_i_to_j
fs_opt
[ 0.19361579418182373, -0.003911253996193409, -0.7373561859130859, -0.26233211159706116, -0.4020047187805176, -0.9243086576461792, 0.9982585310935974, 0.2784311771392822, -0.6372376680374146, 0.08617417514324188, -0.9261798858642578, -0.2424730658531189, -0.1688234955072403, 0.21276846528053...
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation. Input: Comment: Go get 'em Ducks! Output:
Non-toxic
2
NIv2
task327_jigsaw_classification_toxic
zs_opt
[ -0.5526896715164185, 0.13441553711891174, 0.3955327570438385, -0.07369555532932281, -0.22702215611934662, -0.4225127398967743, 0.38209331035614014, 0.24856609106063843, 0.20661000907421112, 0.6387361288070679, -0.03737107664346695, 0.09650364518165588, -0.712584376335144, -0.94176328182220...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese. Wszystko jest robione pomiędzy żebrami. Solution: 全て肋骨の間から行うのです Why? The Polish sentence is correctly translated into Japanese, because the meaning is preserved. New input: Menstruacja łączy się z innym problemem, problemem ograniczeń społecznych, narzucanym na kobiety w trakcie okresu. Solution:
生理になったことで他にも問題が起こりましたそれは生理期間中には少女と女性に社会的制約が課されることです
0
NIv2
task1257_ted_translation_pl_ja
fs_opt
[ -0.14639678597450256, 0.5664851069450378, -0.4395914077758789, 0.15430164337158203, -0.019247837364673615, 0.6227937936782837, 0.9500312209129333, -0.19569233059883118, -0.21265892684459686, -0.24469375610351562, -0.16678404808044434, 0.12889829277992249, -0.4738432765007019, 0.62675631046...
You are given a statement written in Assamese. 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 . -------- Question: Statement: ১৯৪১ চনৰ নৱেম্বৰত ৰাষ্ট্ৰমণ্ডল সেনাবাহিনীয়ে উত্তৰ আফ্ৰিকাত ' অপাৰেচন ক্ৰুচেডাৰ(Operation Crusader), নামৰে এক বৃহৎ আক্ৰমণ চলাই ইটালী আৰু জাৰ্মানীৰ হাতৰ পৰা হেৰোৱা ভু-খণ্ড উদ্ধাৰ কৰে।পশ্চিমৰ ফালে জাপানে ৱিচ্ছি শাসনাধিস্থ <MASK>ক ব্যৱহাৰ কৰাৰ আশংকাত ১৯৪২ চনত ব্ৰিটেইনে এই দ্বীপ অধিকাৰ কৰে।কিন্তু এই জয়ক ম্লান পেলাই অক্ষশক্তিয়ে লিবিয়াত ওপৰত প্ৰবল আক্ৰমণ চলাই মিত্ৰশক্তিক ইজিপ্তলৈ থেলি পঠায়। ইফালে ইউৰোপৰ সামৰিক লক্ষ্য বিলাকত মিত্ৰশক্তিৰ গেৰিলা আক্ৰমণ বিলাক শোচনীয় ভাৱে বিফল হয়, তাৰ পৰা ইয়াকে গম পোৱা যায় যে, উপযুক্তি প্ৰস্তুতি, সৰঞ্জাম আৰু সুৰক্ষা অবিহনে মিত্ৰশক্তিৰ দ্বাৰা ইউৰোপীয় অৱস্থান সমূহত সফল আক্ৰমণ সম্ভৱপৰ নহয়। Option A: অষ্ট্ৰেলিয়া Option B: জাপানেও Option C: মাডাগাস্কাৰ Option D: থাইলেণ্ড Answer: মাডাগাস্কাৰ Question: Statement: গোপীনাথ বৰদলৈ (৬ জুন ১৮৯০–৫ আগষ্ট ১৯৫০) আছিল স্বাধীন <MASK>ৰ প্ৰথম মুখ্যমন্ত্ৰী আৰু ভাৰতৰ স্বাধীনতা সংগ্ৰামৰ সক্ৰিয় কৰ্মী। ৰাজনীতিৰ ক্ষেত্ৰত তেখেত মহাত্মা গান্ধীৰ অহিংসা নীতিৰ সমৰ্থক আছিল। অসম আৰু অসমীয়াৰ প্ৰতি তেখেতৰ অৱদানৰ বাবে তেতিয়াৰ অসমৰ ৰাজ্যপাল জয়ৰাম দাস দৌলতৰামে তেখেতক লোকপ্ৰিয় উপাধিৰে বিভূষিত কৰিছিল। ভাৰতে স্বাধীনতা লাভ কৰা পাছত ধৰ্মৰ ভিত্তিত ভাৰত বিভাজনৰ সময়ত মুছলিম লিগে সেই সময়ৰ প্ৰধানমন্ত্ৰী জৱাহৰলাল নেহৰুৰ সৈতে আলোচনা কৰি অসমখন সেই সময়ৰ পূব পাকিস্তান আৰু বৰ্তমানৰ বাংলাদেশৰ অংশ কৰিব বিচাৰিছিল যদিও বৰদলৈৰ প্ৰবল বিৰোধিতাৰ বাবে অসম বাংলাদেশৰ অংশ হোৱাৰ পৰা ৰক্ষা পৰে৷ Option A: অসম Option B: ভাৰত Option C: চীন Option D: কলিকতা Answer: অসম Question: Statement: ৰমাকান্ত চৌধুৰী দেউতাক লক্ষ্মীকান্ত চৌধুৰী। ১৮৭০ চনত তেখেতে কলেজিয়েট স্কুলৰ পৰা এফ এ ঊত্তীৰ্ণ হৈ <MASK>ত উপায়ুক্তৰ কাৰ্যালয়ত কেৰাণীৰ চাকৰিত যোগদান কৰে। ইয়াৰ পাছত তেখেতে গোৱালপাৰা আৰু ধুবুৰীতো কাম কৰে। শেষত গুৱাহাটীলৈ ঘূৰি আহি তেখেতে চিৰস্তাদাৰৰ চাকৰি কৰে। Option A: ধুবুৰী Option B: গোৱালপাৰা Option C: গুৱাহাটী Option D: কোকৰাঝাৰত Answer:
গুৱাহাটী
7
NIv2
task944_wiki_cloze_as_multiple_choice_question_answering
fs_opt
[ 0.1842426359653473, 0.057069242000579834, -0.6088864803314209, -0.099607914686203, 0.49785155057907104, -0.2524314522743225, 0.4894147217273712, 0.9538800716400146, 0.275687575340271, 0.17042306065559387, -0.32164883613586426, 0.47738009691238403, -0.13159038126468658, -0.43785005807876587...
Detailed Instructions: Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it. Q: healthful A:
unhealthful
9
NIv2
task1508_wordnet_antonyms
zs_opt
[ 0.3914596438407898, 1.837377667427063, 0.8032699227333069, -0.7363168001174927, -0.6038791537284851, -1.2490029335021973, -0.508509635925293, -0.004847411997616291, 0.48289310932159424, -0.7752556204795837, -0.7345517873764038, -0.4410390853881836, -1.2116743326187134, -0.417923241853714, ...
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician. One example: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה. Solution is here: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É coma unha película. Ten cor. Ten movemento. Explanation: The Hebrew sentence is correctly translated into Galician, because the meaning is preserved. Now, solve this: גל גדול של מהומות פרץ אל השיכונים הראשונים בפריז. Solution:
A gran ola de disturbios estouraran nos primeiros proxectos de París.
6
NIv2
task1110_ted_translation_he_gl
fs_opt
[ -0.6921910047531128, 0.6979669332504272, 0.29891496896743774, -0.572267472743988, -0.19732433557510376, -0.3179096579551697, 0.5822048187255859, 0.4228532910346985, -0.7600926756858826, -0.5612295866012573, -0.026863358914852142, 0.195797860622406, -0.8523045778274536, -0.4740526080131531,...
In this task, you need to reverse the order of words in the given sentence. Example input: Sentence: luggage surrounds a vehicle in an underground parking area Example output: area parking underground an in vehicle a surrounds luggage Example explanation: This is a correct answer, as it correctly reverses the order of the words. Q: Sentence: a lone swan swims in a river near a bridge A:
bridge a near river a in swims swan lone a
3
NIv2
task376_reverse_order_of_words
fs_opt
[ -0.08208826184272766, 0.9264335632324219, -0.06898264586925507, -0.7515736818313599, -0.10658442974090576, -0.3661116659641266, -0.2022474706172943, 0.5255392789840698, 0.18950429558753967, 0.10078692436218262, -0.3987968862056732, -0.14028491079807281, -0.2474709302186966, -0.357669532299...
Q: In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting string. 'i' and 'j' will be non-negative, and will always have a value less than the length of A. 'i' will always be less than 'j'. Perform the operations in order, i.e., do not reverse first and then concatenate. 1, 1, ['g', 'R'] A:
g
7
NIv2
task267_concatenate_and_reverse_all_elements_from_index_i_to_j
zs_opt
[ -0.6165149211883545, 0.45517879724502563, 0.02873038873076439, -0.5213883519172668, 0.2543030381202698, -0.029946980997920036, 0.581852376461029, 0.26385852694511414, -0.4018486440181732, -0.16360148787498474, -0.9803899526596069, -0.32735252380371094, 0.05673382058739662, -0.2335489392280...
The provided file includes inquiries about restaurants in Arabic, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations. One example: هل هناك أي مطاعم " italian " بالقرب من 8 من التقييمات بالنجوم؟ Solution is here: are there any " italian " restaurants nearby with 8 star reviews ? Explanation: The translation correctly preserves " italian " entity and is accurate Now, solve this: ابحث عن مطاعم " mexican " مع عرض لتقييمات الشهر الماضي . Solution:
search for " mexican " restaurants with reviews from the past month .
6
NIv2
task257_spl_translation_ar_en
fs_opt
[ -0.3594263792037964, 0.4988379180431366, 0.3918164074420929, -0.3297137916088104, 0.06281191110610962, -0.32138484716415405, 0.7820940613746643, 0.6207071542739868, -0.34915488958358765, -0.18022161722183228, 0.3657171428203583, 0.3736465871334076, -0.5306141376495361, 0.4057726263999939, ...
Detailed Instructions: Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view towards the entity or has equal amounts of positive and negative statements or expressing some fact/quote by someone else. Select Negative if the sentence expresses a negative view towards like harsh remarks, criticizing entities action/decision etc. Note that URLs in the text have been replaced with [Link]. See one example below: Problem: What is the sentiment of the following sentence towards the entity Bill Clinton ? Bill Clinton knows how to win friends and influence people. Solution: Positive Explanation: Here the author of the document praises Bill for this ability to win friends. Problem: What is the sentiment of the following document towards the entity Tim Murphy ? There was no immediate response from Murphy ’s office for request for comment on Thursday. Solution:
Positive
4
NIv2
task421_persent_sentence_sentiment_classification
fs_opt
[ -1.1953855752944946, 0.17963454127311707, 0.6582472920417786, 0.16432726383209229, 0.1882806420326233, -0.9803043007850647, 0.859778642654419, 0.8017788529396057, 0.49708306789398193, 0.35571736097335815, -0.10241938382387161, 0.13982625305652618, -0.2559772729873657, -0.2277454286813736, ...
Detailed Instructions: In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the ending, and use names instead of pronouns (e.g. he / she) wherever possible. Problem:Beginning: Joe thought it was dark in the house. Middle: Joe called an arbor to remove some tree overgrowth. Solution:
Soon the trees were trimmed.
8
NIv2
task071_abductivenli_answer_generation
zs_opt
[ -0.10413485020399094, 0.9752985835075378, -0.5521054267883301, -0.31694990396499634, -0.39729174971580505, -0.5216363072395325, 1.1901664733886719, 0.7267496585845947, -0.39474955201148987, 0.12876874208450317, -0.8478013277053833, 0.12134067714214325, -0.5973520278930664, -0.2701971828937...
Q: In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statement, as indicated by the label. If sentence X agrees with sentence Y, the can be concluded from one another. If sentence X disagrees with sentence Y, they can not be correct at the same time. The sentence must also belong to the genre specified. Statement: GPRA calls for phased implementation so that selected pilot projects in the agencies can develop experience from implementing GPRA requirements in fiscal years 1994 through 1996 before implementation is required for all agencies. Label: entailment. Genre: government. A:
GPRA is urging to implement by phases, which will help pilot projects in gaining experience.
7
NIv2
task203_mnli_sentence_generation
zs_opt
[ -1.608321189880371, 0.83270263671875, 0.5244158506393433, -0.4421371817588806, 0.2740001976490021, -0.38947558403015137, -0.10272614657878876, 0.297778844833374, 0.2032068371772766, 0.09839168936014175, -0.21668581664562225, -0.3062106966972351, -0.7796520590782166, 0.26995304226875305, ...
In this task, you will be presented with a question having multiple possible answers in Chinese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge. Let me give you an example: Question: 牙科诊所处理了很多口外伤的患者,这些患者来自哪里? Options: (A) 城镇 (B) 密西根 (C) 办公楼 (D) 医院 (E) 学校 The answer to this example can be: D Here is why: This is the correct answer because the traumatic injuries are generally handled by the hospitals. OK. solve this: Question: 莎拉喜欢给予帮助。 她不求任何回报。 莎拉可能最关心的是什么? Options: A 受助人 B 较佳环境 C 她的头发 D 学习新技能 E 幸福 Answer:
A
8
NIv2
task1141_xcsr_zh_commonsense_mc_classification
fs_opt
[ -0.208289235830307, 0.25911474227905273, -0.02995128557085991, -0.5240249633789062, 0.11659564077854156, -0.012098677456378937, 0.027312859892845154, 1.2665001153945923, 0.20719261467456818, -0.3184468150138855, 0.25600308179855347, 1.14401113986969, 0.5288053750991821, -0.3843759894371032...
Definition: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. What may (or may not) happen before (or after, or during) an event? C. What may (or may not) be a plausible fact about someone (or something)? D. What may (or may not) happen if an event happens (or did not happen)? You can also create other types of questions. DO NOT make your question answerable without looking at the context, or question of which the correct answer can be directly extracted from the context. DO NOT ask a question that requires very specialized knowledge that is not common sense. DO NOT ask too simple or too short questions. Your question must be related to the context and answerable with common sense. Try to add more variations and complexity to the questions. Input: Context: Our church has been doing a series on " you are nt alone . " and it has been really interesting . I really like the churchs services because it focuses more on life skills , then stories from the bible , plus they play the beetles and dashboard confessional . many of the services are about how damaged people are , how we need to let people in , and cherish best friends . Output:
What do you like about the church ?
2
NIv2
task023_cosmosqa_question_generation
zs_opt
[ 0.43445679545402527, -0.014480575919151306, -0.5184589624404907, 0.19693036377429962, -0.4296841323375702, -0.3565939664840698, 0.47710591554641724, 0.5364887714385986, 0.08012962341308594, 0.3505544364452362, -0.4080572724342346, 0.34652554988861084, -0.20951128005981445, 0.76381045579910...
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output. look opposite right after run thrice I_RUN I_RUN I_RUN I_TURN_RIGHT I_TURN_RIGHT I_LOOK jump opposite left after look left twice I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_JUMP run opposite left twice after walk around right
I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_RUN
0
NIv2
task126_scan_structured_text_generation_command_action_all
fs_opt
[ 0.23866237699985504, 0.7667185664176941, -0.3544231653213501, 0.22608399391174316, -0.05239524692296982, 0.11655977368354797, 0.10983383655548096, 0.1418783962726593, -0.11756322532892227, -0.3573213219642639, -1.022477149963379, -0.3421913981437683, -0.6892824172973633, -0.102064132690429...
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output. One example is below. Q: I_TURN_LEFT I_JUMP A: jump left Rationale: If the agent turned to the left and jumped, then the agent jumped to the left. Q: I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK A:
jump around right and walk opposite left thrice
9
NIv2
task129_scan_long_text_generation_action_command_short
fs_opt
[ 0.3168063461780548, 0.6486271619796753, -0.40247195959091187, 0.1589021384716034, 0.02309301495552063, 0.06936177611351013, 0.12687763571739197, 0.9070769548416138, -0.4097299873828888, -0.06671351194381714, -0.6855074167251587, -0.613092303276062, -0.7242029309272766, -0.2099439799785614,...
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False" چارلز برانسون با نام واقعی «چارلز دنیس بوچینسکی» در شهر اورونفلد (در ایالت پنسیلوانیا) به دنیا آمد. وی یازدهمین فرزند در بین پانزده فرزند خانواده بود بود. پدرش تاتاری مهاجر و مادرش از تبار لیتوانی-آمریکایی‌ها بود. پدرش متولد شهر دروسکینینکای بوده و مادرش با اینکه دارای والدین لیتوانیایی بوده، ولی خودش در همین ایالت، پنسیلوانیا، به دنیا آمده بود. چارلز در دوران نوجوانی بود که با زبان انگلیسی آشنا شد. تا پیش از این وی تنها به لیتوانیایی و روسی صحبت می‌کرد. چارلز برانسون اولین شخص در خانواده بود که موفق شد از دبیرستان فارغ‌التحصیل شود. وی زمانی که ۱۰ سال داشت. پدرش را از دست داد و بعد از این شروع به کار کردن نمود. ابتدا در دفتر اداری یک معدن و سپس به عنوان کارگر معدن استخدام شد. وی بابت هر تن زغال‌سنگی که استخراج می‌کرد، یک دلار در آن زمان دریافت می‌نمود. وی کار در معدن را ادامه داد تا اینکه نوبت به خدمت سربازی‌اش رسید. دوران سربازی برانسون برابر بود با جنگ جهانی دوم. خانواده برانسون وضعیت مالی بسیار ضعیفی داشتند، تا جایی که چارلز بخاطر نداشتن لباس، مجبور بود لباس‌های خواهرش را به تن کند تا به مدرسه می‌رفت. Question: سربازی برانسون با چه چیزی مصادف بود؟
True
0
NIv2
task396_persianqa_classification
zs_opt
[ -0.1516716182231903, 0.5017932653427124, -0.2652840316295624, 0.07107151299715042, -0.3619688153266907, -0.07384232431650162, 0.9309256076812744, 0.7455154657363892, 0.5745224952697754, -0.29207727313041687, -0.5799831748008728, 0.5599266290664673, -0.42212188243865967, -0.4604125320911407...
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output. I_JUMP I_JUMP I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK walk right twice after jump twice I_TURN_RIGHT I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP jump around right twice after turn right I_WALK I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN
run left thrice after walk
0
NIv2
task129_scan_long_text_generation_action_command_short
fs_opt
[ 0.14318762719631195, 0.8042848110198975, -0.4683372676372528, 0.12003455311059952, -0.1807079315185547, 0.3168928921222687, 0.13200977444648743, 0.6463099718093872, -0.37437623739242554, -0.24946169555187225, -0.829892635345459, -0.30124443769454956, -0.6937011480331421, -0.088635824620723...
In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence it is hard to detect the primary sentiment. Also, assign neutral label to reviews that express no clear sentiment toward an entity or any aspect of it. The "no sentiment expressed" label should be assigned to the reviews where the given aspect didn't discuss in the text. Example input: من این فیلم رو دوست داشتم .شخصیت سارا بهرامی عالی بود و همچنین بازی امین حیایی بعنوان یک مرد خونسرد..بازی مهناز افشار هم عالی بود فیلم روایتی از روایتهای تلخ جامعه مان میباشد<sep>Question: نظر شما به صورت کلی در مورد فیلم دارکوب چیست؟ Example output: positive Example explanation: This is a good example. The sentiment of the review is positive toward the movie. Q: قاب های خوب، ریتم کند، قصه ای که پتانسیل طنز بیشتری داشت...<sep>Question: نظر شما در مورد داستان، فیلمنامه، دیالوگ ها و موضوع فیلم دوباره زندگی چیست؟ A:
mixed
3
NIv2
task525_parsinlu_movie_aspect_classification
fs_opt
[ -0.4680098593235016, 0.08042208105325699, 0.17573979496955872, 0.01362339872866869, -0.03272349387407303, 0.13380244374275208, 1.3905866146087646, 0.8709912300109863, 0.15306255221366882, 0.20362704992294312, -0.5102188587188721, -0.022900350391864777, -0.54222571849823, 0.1235345080494880...
Teacher: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect). Teacher: Now, understand the problem? If you are still confused, see the following example: रोजगार कार्यालय जाओ. Solution: Go to the employment office. Reason: The translation is correct Now, solve this instance: तुम वापस क्यों आई हो? Student:
Why have you come back?
2
NIv2
task1323_open_subtitles_hi_en_translation
fs_opt
[ -0.3407919704914093, -0.0061093540862202644, 0.5451698899269104, 0.07035458832979202, 0.2795841097831726, -0.8355777263641357, -0.25157636404037476, -0.06376853585243225, -0.058174021542072296, 0.15529736876487732, 0.07253667712211609, -0.22195786237716675, 0.0012655461905524135, 0.1721201...
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'. Context: Carson paid Casey a compliment after running into them at the school dance. Question: How would Casey feel afterwards? Options: (A) good after giving a compliment (B) flattered (C) happy to see Casey
B
0
NIv2
task580_socialiqa_answer_generation
zs_opt
[ 0.1500440537929535, 0.3721429705619812, 0.11002518236637115, 0.10194167494773865, 0.10154414921998978, -0.17801271378993988, 0.8148937225341797, 0.12459047138690948, -0.1116633266210556, -0.13933362066745758, -0.26082295179367065, -0.013566166162490845, 0.20855525135993958, -0.414528369903...
Instructions: In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise. Input: Sentence 1: A(n) cell is the lowest level of organism that can perform all activities required for life. Sentence 2: they are the master cells that can make all the blood cells required for life. Output:
neutral
3
NIv2
task1554_scitail_classification
zs_opt
[ -0.10766385495662689, 0.728994607925415, 0.08262570202350616, -0.0052279881201684475, -0.13267673552036285, -1.2243800163269043, -0.16820280253887177, 0.5608987808227539, 0.02629145234823227, -0.019429780542850494, -0.8983261585235596, -0.2720268964767456, -0.44115933775901794, -0.30606228...
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese. Example: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است. Example solution: E eu continuo a pensar que o transporte é o centro deste universo. Example explanation: The Farsi sentence is correctly translated into Portugese, because the meaning is preserved. Problem: اسم من "" تاوی گوینسون "" است ، و اسم سخنرانی من "" هنوز در پی فهمیدن "" است ، و کیفیت برنامه نقاشی مایکروسافت در اسلاید های من یک تصمیم کاملا "" خلاقانه بوده تا با موضوع امروز در ارتباط باشه و هیچ ربطی به عدم توانایی من در بکارگیری "" پاور پوینت "" نداره. (خنده) و هیچ ربطی به عدم توانایی من در بکارگیری "" پاور پوینت "" نداره. (خنده) بدین ترتیب من این سایت را برای دختران نوجوان تدوین کردم. من یک طرفدار حقوق زن هستم.
Solution: O meu nome é Tavi Gevinson, o título da minha apresentação é: "" Ainda a tentar entender "" e a qualidade MS Paint dos meus "" slides "" foi uma decisão criativa em consonância com o tema de hoje, e não tem qualquer relação com a minha falta de habilidade no uso do PowerPoint. (Risos) Eu edito este "" website "" para raparigas adolescentes. Eu sou uma feminista.
5
NIv2
task1273_ted_translation_fa_pt
fs_opt
[ -0.6889851093292236, 0.3664523661136627, 0.2801172733306885, -0.06114210933446884, -0.6310102343559265, -0.5008114576339722, 0.06406928598880768, 0.7067924737930298, 0.1904890537261963, 0.2971334159374237, -0.7334991693496704, 0.5041073560714722, -0.36778128147125244, 0.4971585273742676, ...
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output. Q: I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK A: walk around left after run left thrice **** Q: I_TURN_LEFT I_TURN_LEFT I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK A: look right twice after turn opposite left **** Q: I_RUN I_RUN I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN A:
run around right twice after run thrice ****
4
NIv2
task127_scan_long_text_generation_action_command_all
fs_opt
[ 0.4324284791946411, 0.7019574642181396, -0.5385789275169373, 0.2145695984363556, -0.2932661175727844, 0.24198885262012482, -0.09891120344400406, 0.6051580309867859, -0.23804065585136414, -0.1893002986907959, -0.8192476034164429, -0.2719113826751709, -0.6029178500175476, 0.03968582302331924...
TASK DEFINITION: You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese. PROBLEM: Jeśli spojrzycie na oś Y tego wykresy, zobaczycie, że w powietrzu wentylowanym mechanicznie jest większe prawdopodobieństwo napotkania potencjalnego patogenu lub zarazka niż podczas pobytu na zewnątrz. SOLUTION: Se olharem para o eixo do Y deste gráfico, irão constatar que, no ar mecanicamente ventilado, existe uma maior probabilidade de encontrar um potencial patogénico, ou germe, do que se estiverem no exterior. PROBLEM: Mówimy o obiekcie, który zająłby pół powierzchni Manhattanu. SOLUTION: Estamos a falar de um objecto que poderíamos esmagar até metade da área de Manhattan. PROBLEM: Potem zacząłem krążyć, czasem trochę zagubiony. SOLUTION:
E fui avançando pouco a pouco, sentindo-me por vezes um pouco perdido,
8
NIv2
task1264_ted_translation_pl_pt
fs_opt
[ -0.2488117218017578, 1.2292672395706177, -0.18290850520133972, -0.7833211421966553, 0.09547042846679688, -0.3830426335334778, 0.1271352469921112, 0.47620049118995667, 0.8876944184303284, 0.21576787531375885, -1.0013507604599, 0.6202073097229004, -0.27926066517829895, 0.1091364398598671, ...
Given the task definition and input, reply with output. In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as non-hateful. Answer "hateful" or "Non-hateful". Note that the URLs in the text have been replaced with [Link]. Post: @Benavidesgraa 12 veces en media hora? Pero esta chica es la puta ama!!!! LOL
Non-hateful
5
NIv2
task334_hateeval_classification_hate_es
zs_opt
[ -1.0539335012435913, 0.4413509964942932, 0.44055432081222534, 0.7827074527740479, -0.6177489757537842, -0.512954831123352, 0.552510678768158, 1.2530837059020996, 0.5124485492706299, -0.006610459182411432, -0.41480469703674316, 0.5332047939300537, -0.46680280566215515, -0.43329164385795593,...
TASK DEFINITION: In this task, you will be presented with a question having multiple possible answers in Chinese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge. PROBLEM: Question: 什么东西有一个架子,不能让你看到里面的东西? Options: A 书柜 B 炉子 C 含酒精 D 柜子 E 杂货店 SOLUTION: D PROBLEM: Question: 一个人在玩乐的时候,可能会体验到什么? Options: A 笑声 B 欣喜 C 兴奋 D 哭泣 E 享受 SOLUTION: E PROBLEM: Question: 在这里解决困惑的一个方法就是我举手。 我在哪里? Options: A 战争 B 阶层 C 介意 D 学校 E 戏曲 SOLUTION:
B
8
NIv2
task1141_xcsr_zh_commonsense_mc_classification
fs_opt
[ 0.8011252880096436, 0.1393566131591797, -0.5938965678215027, -0.4546758830547333, 0.19435139000415802, 0.10387910157442093, 0.5049721002578735, 0.4083150029182434, 0.15405002236366272, -0.016964852809906006, 0.17843076586723328, 0.09221989661455154, 0.4787217378616333, -0.30221593379974365...
Detailed Instructions: Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No". Q: Question1: Is it okay to always like being alone and doing things alone?, Question2: Is it okay not to have any friends at all and be alone? A:
No
9
NIv2
task1287_glue_qqp_paraphrasing
zs_opt
[ 0.33341383934020996, 0.39611703157424927, 0.14638596773147583, 0.3843216300010681, -0.4753986597061157, -0.8672676086425781, 0.13814155757427216, 0.15102259814739227, 0.05591586232185364, 0.14445152878761292, -0.3501698076725006, -0.965247631072998, 0.014432888478040695, -0.511983394622802...
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 happens after the Tail or not. 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. -------- Question: Head: PersonX pulls the child into PersonY's arms<sep>Tail: PersonX sees the child crying Answer: Yes Question: Head: PersonX plays all night<sep>Tail: PersonX buys a new video game Answer: Yes Question: Head: PersonX abolishes ___ in the states<sep>Tail: to enforce the ruling Answer:
No
7
NIv2
task1205_atomic_classification_isafter
fs_opt
[ 0.2368835061788559, 0.17391592264175415, -0.03049250692129135, -0.14433073997497559, -0.8550416231155396, -0.9500399231910706, 1.5045843124389648, 0.6102805733680725, -0.5027417540550232, -0.4478926658630371, -0.39644861221313477, -0.3857870101928711, -0.7427135705947876, 0.105384185910224...
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew. Let me give you an example: Pero comenzamos con la idea de un niño por vez. The answer to this example can be: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד. Here is why: The Spanish sentence is correctly translated into Hebrew, because the meaning is preserved. OK. solve this: Conectan gente entre ella. Answer:
הם מחברים אנשים אחד לשני.
8
NIv2
task1229_ted_translation_es_he
fs_opt
[ -0.6091787815093994, 0.5199133157730103, 0.4166605770587921, -0.2921696901321411, -0.5782120823860168, -0.11294989287853241, 1.1382476091384888, 0.5374673008918762, 0.47813546657562256, -0.2784271240234375, -0.12416906654834747, 0.33001190423965454, -1.081530213356018, 0.02085818536579609,...
You are given a conversation between two people.'Person1:' and 'Person2:' are used to separate their respective dialogues. You have to classify if there exist more than 2 unique emotions in conversation. If there are more than 2 unique emotions present in the conversation, the output should be classified as '1' else it should be '0' One example: Person1: Excuse me , when is the next train to Los Angeles ? Person2: 10:15 a . m . Person1: Can I get the ticket here ? Person2: Sorry . You have to buy your ticket at the next counter . Person1: Thank you . Solution is here: 1 Explanation: This conversation has multiple emotions because of unavailability of the ticket at the given counter and the happiness at the end due to gratitude Now, solve this: Person1: I'm sorry for being late . Person2: You're supposed to stand here quietly until the flag - raising ceremony is over . Person1: About what time can I go to my own class ? Person2: When everything is over . Person1: Now that it is all over . can I go now ? Person2: Not yet . You should stand still for another few minutes . Late-comers must be recorded . Person1: That's too bad ! Solution:
0
6
NIv2
task1535_daily_dialog_uniqueness_classification
fs_opt
[ 0.9387285709381104, -0.5527799129486084, -0.33173373341560364, 0.13784277439117432, 0.33757656812667847, -0.9699864983558655, 0.7105104923248291, 0.5103647708892822, -0.42340460419654846, -0.3991120457649231, 0.052438899874687195, -0.08767963945865631, 0.11762488633394241, 0.42358821630477...
TASK DEFINITION: In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list. PROBLEM: 1, 6, ['197', '6835', 'e', '5851', '6687', '5399', '4545', '9199', '5945', 'g', '1969', 'G', '7535', '101', 'o', 'Q', '821', 't'] SOLUTION: 197, 4545, 7535 PROBLEM: 1, 1, ['T', '7511', '4271', 'S', '2209', '8857'] SOLUTION: T, 7511, 4271, S, 2209, 8857 PROBLEM: 4, 10, ['v', 'f', 'g', 'Z', '2569', '1145', '6079', '213', 'j', 'r', 'a', '2647', '4973', '7875', 'Q', 'g', 'A', '9109', 'b', 't', '7589', 'X'] SOLUTION:
Z, 7875
8
NIv2
task1551_every_ith_element_from_kth_element
fs_opt
[ 0.31889158487319946, 0.4023630619049072, -0.6582030057907104, -0.7152697443962097, -0.43125027418136597, -0.15574759244918823, 0.8844312429428101, -0.12537677586078644, -0.3586667478084564, 0.06643474102020264, -0.7520977258682251, -0.33637845516204834, 0.03550128638744354, 0.3016241490840...
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. One example is below. Q: Jacob entered the dining_room. William entered the dining_room. The tomato is in the green_drawer. William exited the dining_room. Jacob moved the tomato to the blue_cupboard. Jacob is in the dining_room. Olivia entered the dining_room. The cucumber is in the blue_cupboard. Olivia exited the dining_room. Jacob moved the cucumber to the green_drawer. William entered the pantry. Jacob entered the pantry. The asparagus is in the red_cupboard. Jacob exited the pantry. William moved the asparagus to the green_pantry. Abigail entered the hall. William entered the hall. The persimmon is in the blue_pantry. William exited the hall. Abigail moved the persimmon to the blue_envelope. Where does Abigail think that William searches for the persimmon? A: blue_pantry Rationale: The persimmon was last in the blue_pantry before William exited the hall. After William exited the hall, Abigail moved the persimmon to the blue_envelope, so she knows where William will look for it. Q: William entered the hall. Logan entered the hall. The eggplant is in the green_drawer. Logan exited the hall. William moved the eggplant to the blue_pantry. William exited the hall. Logan entered the hall. Liam entered the cellar. William entered the cellar. The strawberry is in the green_box. William exited the cellar. Liam moved the strawberry to the blue_box. Liam exited the cellar. William entered the cellar. William entered the hall. Liam entered the hall. The lettuce is in the blue_pantry. Liam exited the hall. William moved the lettuce to the green_drawer. William exited the hall. Liam entered the hall. Owen entered the TV_room. Liam entered the TV_room. The watermelon is in the blue_treasure_chest. Liam exited the TV_room. Owen moved the watermelon to the red_treasure_chest. Owen exited the TV_room. Liam entered the TV_room. Where is the watermelon really? A:
red_treasure_chest
9
NIv2
task153_tomqa_find_location_hard_clean
fs_opt
[ 0.2571302056312561, -0.3286287784576416, 0.017696265131235123, 0.04624959081411362, -0.3019682466983795, -0.39629387855529785, 0.031978752464056015, 0.6024675369262695, -0.1130644828081131, 0.01262872014194727, 0.2586022615432739, 0.47446030378341675, -0.07202007621526718, 0.39480552077293...
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no". One example is below. Q: Article: australia 's current account deficit shrunk by a record #.## billion dollars -lrb- #.## billion us -rrb- in the june quarter due to soaring commodity prices , figures released monday showed . Title: australian current account deficit narrows sharply A: yes Rationale: This headline is appropriate for the given article text because the focus of this article is australian current accounts. Hence, the label is 'yes'. Q: Article: iraq unveiled plans on sunday for a multi-billion-dollar resort with spas , golf courses and a six-star hotel to revive a once popular honeymoon island on the tigris river in baghdad . Title: iraq unveils plans to revive honeymoon island A:
yes
9
NIv2
task289_gigaword_summarization
fs_opt
[ 0.023515984416007996, 0.4503113925457001, -0.0463690310716629, 0.01100542675703764, -0.5227935314178467, -0.386893630027771, 0.3744073510169983, 0.43361732363700867, 0.024605553597211838, 0.11425171792507172, -0.14313946664333344, 0.1121126189827919, -0.9827577471733093, 0.1050736606121063...
Instructions: In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question. Input: Are people with borderline personality disorder worthless? Output:
Are people with borderline personality disorder often apathetic?
3
NIv2
task1345_glue_qqp_question_paraprashing
zs_opt
[ 0.009474569000303745, 0.6076725721359253, -0.1329789012670517, -0.5628535747528076, -0.5695586204528809, -0.11302768439054489, 1.355919599533081, -0.11517448723316193, 0.7373878359794617, -0.6101809144020081, -1.2798068523406982, 0.4071763753890991, -0.6811256408691406, 0.2758769989013672,...
A text is given in Bengali. Translate it from the Bengali language to the English language. The translation must not omit or add information to the original sentence. Let me give you an example: দরিদ্র, প্রান্তিক এবং দেশের পল্লী অঞ্চলের সেবায় তিনি ছিলেন সংকল্পবদ্ধ, যা আমাদের নিরন্তরভাবে প্রেরণা যুগিয়ে গেছে”। The answer to this example can be: He was determined by poor, marginalized and in the service of the country's rural areas, which has been motivated in our continuous motivation ". Here is why: Correct translation for given sentence. Input sentence means 'He was determined by poor, marginalized and in the service of the country's rural areas, which has been motivated in our continuous motivation ".' which is the same as the output sentence. OK. solve this: শ্রী মোদী বলেন, ভারত ও ইন্দোনেশিয়া পরস্পরের নৌ-প্রতিবেশী উপলক্ষে নীল অর্থনীতির বিকাশ প্রচেষ্টায় সহযোগিতার সুযোগ ও সম্ভাবনাগুলির সদ্ব্যবহার করতে পারে। Answer:
The Prime Minister said that as maritime neighbours, there is a vast scope for cooperation between India and Indonesia on development of Blue Economy as well as in the domain of maritime security.
8
NIv2
task995_pib_translation_bengali_english
fs_opt
[ -1.1163458824157715, 0.2898162007331848, 0.22782155871391296, -0.7015698552131653, 0.005444358102977276, -0.5169019103050232, 0.4546128511428833, 0.3719328045845032, 0.04467763751745224, 0.5829244256019592, -0.8089054822921753, 0.4141485095024109, -0.42384642362594604, -0.15927168726921082...
Q: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes less sense. Title: Beach Friends. Sentence 1: Sam likes to go to beach with his friends on the weekend. Sentence 2: While there, they like to play beach volleyball. Sentence 3: They also like to surf on the water. Sentence 4: Sometimes, they will just relax in the sun. Choices: a. Pornography ruined our relationship. b. They return to their homes cherishing those moments. A:
a
7
NIv2
task214_rocstories_incorrect_ending_classification
zs_opt
[ -0.18171676993370056, 0.25923675298690796, 0.23721538484096527, -0.5197635889053345, -0.08699920773506165, -0.2131527066230774, 0.593717098236084, 1.0004072189331055, 0.10134951770305634, 0.6211162209510803, -0.27277588844299316, 0.17844751477241516, 0.2107604742050171, -0.7102785110473633...
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny. Example input: News Headline: France is ‘ hunting down its citizens who joined {Isis} without trial in Iraq Edit: twins Example output: Not Funny Example explanation: The edited sentence is not making much sense, therefore it's not funny. Q: News Headline: Democrats : McConnell Must ‘ Hit the {Pause} Button ’ on Tax Vote Edit: Record A:
Funny
3
NIv2
task495_semeval_headline_classification
fs_opt
[ 0.07291261851787567, 0.48364323377609253, 0.2033233940601349, 0.2811453342437744, -0.39262622594833374, -0.5356797575950623, 0.3644168972969055, 1.0907559394836426, -0.03655252978205681, 0.21259652078151703, -0.5850632786750793, -0.23956039547920227, -0.6457021832466125, -0.023529309779405...
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish. (خنده) این موضوع بعد از دبیرستان هم ادامه داشت ، که در یک نقطه عطفی در زندگی ، متوجه این الگو در خودم شدم که در یک زمینه ‌ ای علاقه پیدا می ‌ کردم و در آن شیرجه می ‌ زدم و غرق آن می ‌ شدم ، و درهر چیزی که بود خیلی مهارت پیدا می ‌ کردم ، بعد به این نقطه می ‌ رسیدم که بی ‌ حوصلگی شروع می ‌ شد. (Risas) Esto continuó después de la secundaria, y en cierto punto, comencé a notar este patrón propio de estar interesada en un área y de querer adentrarme en ella, y dejarme absorber, y querer llegar a ser muy buena en lo que fuera, y luego alcanzar ese punto donde empezaba a aburrirme. ولی در نهایت خیلی بسته شد ، با وجود برخی مجله ‌ های خیلی پر هزینه و امثال آن Pero después la ciencia terminó siendo bastante cerrada, con revistas muy caras y algunos de los que pasa. و ما مثل عاشق معشوق ‌ های جوان میترسیم که زیاد صحبت کردن ممکنه عشقمون رو لوث و بی ‌ معنی کنه.
y como los jóvenes amantes, tenemos miedo que hablar mucho pueda arruinar el romance.
0
NIv2
task1267_ted_translation_fa_es
fs_opt
[ -0.7228373885154724, 0.7193583250045776, 0.0033745323307812214, -0.806088924407959, -0.6185352802276611, 0.16210325062274933, 0.2541361153125763, 0.3842616677284241, 0.08886247873306274, -0.8350371718406677, -0.5087987780570984, 0.2629464864730835, -0.7262535095214844, 0.08125407993793488,...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'Text one' if the first sentence is simpler. Otherwise output 'Text two'. Text one: From its inception, it was designated a duty-free port and vied with the neighboring Sultanate of Pattani for trade Text two: From the start, it was chosen to be a duty-free port to compete with the neighboring Sultanate of Pattani for trade. Solution: Text two Why? Text two has simpler words, ,so it is easier to understand by non-native English speakers. New input: Text one: Springville is a city in Linn County, Iowa, United States. Text two: Springville is a city. it is in Linn County, Iowa, USA. Solution:
Text two
0
NIv2
task112_asset_simple_sentence_identification
fs_opt
[ -0.525271475315094, 0.3209327161312103, 0.4406154155731201, -0.36306169629096985, 0.6494446396827698, -0.41273024678230286, 0.07236002385616302, 1.4573266506195068, -0.5516289472579956, 0.43642470240592957, 0.2929684519767761, 0.13040456175804138, -0.5422878861427307, -0.33019551634788513,...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. In this task, you are given a 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. Premise: PersonX seems interested Hypothesis: PersonX then good activity Update: PersonX was a good student Solution: strengthener Why? If PersonX was a good student, it is more likely that PersonX would do good activities. New input: Premise: PersonX eats dinner with PersonY Hypothesis: Before, PersonX needed find restaurant Update: PersonX is an excellent cook. Solution:
weakener
0
NIv2
task935_defeasible_nli_atomic_classification
fs_opt
[ 1.0418938398361206, -0.16345885396003723, -0.7521300911903381, -0.06710541248321533, 0.12275422364473343, -0.9312991499900818, 1.1405179500579834, 1.211746096611023, -0.26352664828300476, -0.5438907742500305, -0.37297990918159485, -0.30635276436805725, -0.8371062278747559, 0.04663580656051...
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish. Let me give you an example: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes. The answer to this example can be: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń. Here is why: The Galician sentence is correctly translated into Polish, because the meaning is preserved. OK. solve this: Estás a aprender que empequenecer require unha grandeza de espírito na que non podes encaixar aínda: aceptar a axuda irritante de quen che quere ben; dar paso e entregarte, pero non renderte. Answer:
Ciągle uczysz się, że pomniejszanie ciała wymaga wielkości ducha, do którego ty jeszcze nie pasujesz: akceptacji pomocy najbliższych, która cię irytuje; ustępowania w różnych kierunkach, z wyjątkiem tego do góry.
8
NIv2
task1244_ted_translation_gl_pl
fs_opt
[ -0.7701836824417114, 0.8455844521522522, -0.12979952991008759, -0.7867908477783203, -0.04133088141679764, -1.26321542263031, 1.6056469678878784, -0.3543473482131958, 0.04747395217418671, -0.067286416888237, -0.39110130071640015, 0.9459636211395264, -0.5048372149467468, 0.5663067102432251, ...
The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should be natural language and formal form of each sentence in your language. The output sentence should not be a colloquial form of the input sentence. The generated output should be in natural language which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) Numbers and fully capitalized words like SEPTEMBER, or 10 HOURS *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. 5) Note the input is in sentence case except for special placeholders. Please do the same in your translations. Example input: “Wo ọmọọ̀ mi dè mí”: ó ń lo kíjìpá mẹ́ta gbó; mélòó ni ọlọ́mọọ́ máa lò gbó? Example output: “Look after the child for me”: she wears three durable hand-loom wrappers to tatters; how many would the mother of the child herself wear out? Example explanation: The Yoruba sentence is properly translated to the English language as both the sentences convey the same meaning and both the sentences are in sentence case and it preserves the punctuation marks as well. Q: Ocheho, sọ ọ̀rọ̀ yìí dí mímọ̀ ní àsìkò àsekágbá ìdíje Sam Ocheho International Invitational Handball Championships, ní àjo̩ ò̩hún ti pinnu láti mu ìmò̩ àwo̩n akọ́nimọ̀ọ́gbá wa àti àwo̩n òs̩ìs̩é̩ ìdárayá yòókù peléke sí i. A:
Ocheho, who disclosed this in Lagos during the recently-concluded Sam Ocheho International Invitational Handball Championships, said the federation is determined to improve the skills of coaches as well as the technical officials in the sport.
3
NIv2
task1620_menyo20k-mt_yo_en_translation
fs_opt
[ 0.13377882540225983, 0.058809876441955566, -0.14941942691802979, 0.396684855222702, 0.35922446846961975, -0.9957842826843262, 0.0278136245906353, 0.7385237216949463, -0.1568487584590912, -0.33802318572998047, -0.3160657286643982, 0.8243666291236877, -0.5768868327140808, 0.2617398500442505,...
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False". Input: Consider Input: Reviews: I rented this for an online class, and it came in very poor condition. The book had a bunch of different food/beverage stains that were so large it looked as if the book had been submerged in coffee rather than having coffee spilled on it, and it felt as if whoever did the spilling didn't even bother to wipe it off, but just let the stains absorb into the book. A bunch of the pages were stuck together and my roommate and I couldn't get them apart without tearing them. She had also rented this book off of Amazon the semester before for the same class and hers had come in great condition. Additionally, throughout my four years of undergrad, I have never had a rental textbook from Amazon come in anything less than good condition, so we were both a bit surprised by the situation. It just sat in the corner not being used because I didn't even want to touch it. Luckily for me, I didn't even end up needing to use it for the class. Category: pet_products Output: False Input: Consider Input: Reviews: This food dye is horrible. Would not even dye icing. The red would not even turn pink or even close to red. I wanted to return and would not allow me to. This is way too expensive for dye that does NOT work. Category: shoes Output: False Input: Consider Input: Reviews: I do not recommend as it cheaply made & will not last. I bought 2 and both broke within 4 months of playing. The first one started failing to sustain despite the pedal being pushed, the 2nd one actually had the pedal nearly break off. Category: automotive
Output: False
2
NIv2
task1308_amazonreview_category_classification
fs_opt
[ -0.34994325041770935, 0.02104058861732483, -0.47076335549354553, -0.4065234065055847, 0.014346744865179062, 0.2465084195137024, 0.6755779981613159, 0.8382350206375122, -0.09369758516550064, 0.1677912473678589, 0.053813330829143524, 0.13147035241127014, -0.47736161947250366, -0.171394720673...
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence. How many times has alec baldwin hosted saturday night live? 17 When was the bill of rights last amended? May 5, 1992 Who has played for the most premiership clubs?
Andy Cole and Peter Crouch
0
NIv2
task669_ambigqa_answer_generation
fs_opt
[ -0.3375505805015564, 0.5777097940444946, -0.15864884853363037, 0.2182031273841858, -0.37183719873428345, -0.16691578924655914, 1.1243512630462646, -0.2790561318397522, -0.3419722318649292, -0.24283042550086975, -0.8010962009429932, 0.33029985427856445, -0.6810657978057861, -0.1925543993711...
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish. See one example below: Problem: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד. Solution: Pero comenzamos con la idea de un niño por vez. Explanation: The Hebrew sentence is correctly translated into Spanish, because the meaning is preserved. Problem: הם צופים בפעולה. תיכננו את הרובוטים המרובעים האלה שאנחנו מנסים כעת ב- MIT שנקראים "" אופרה-בוטים. "" אופרה בוטים אלה עוקבים אחר המוסיקה שלי. Solution:
Ellos observan la acción. Estos robots que diseñamos y actualmente estamos probando en MIT se llaman "" operabots "". Ellos siguen mi música.
4
NIv2
task1236_ted_translation_he_es
fs_opt
[ -0.18452498316764832, 0.7137794494628906, -0.01480882614850998, 0.11846953630447388, -0.5404040813446045, 0.010795196518301964, 0.6058989763259888, 0.2118309885263443, 0.7714459896087646, -0.431832879781723, -0.6675418615341187, 0.012045968323946, -0.10729379206895828, 0.1762235164642334, ...
Q: Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2. sole is part of shoe A:
sole PartOf shoe
7
NIv2
task1510_evalution_relation_extraction
zs_opt
[ 0.07644239813089371, 1.426687479019165, -0.1119384616613388, 0.055275604128837585, -0.6142982244491577, -0.4802926182746887, 0.4946751594543457, 0.5127838253974915, 0.06733700633049011, -0.7471009492874146, -0.12463843822479248, 0.699809193611145, -0.5591946840286255, 0.19830605387687683, ...
Detailed Instructions: You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long. The answers need to be context specific and can not be general knowledge or a random guess. Problem:CONTEXT: Composición y estructura La Tierra es un planeta terrestre, lo que significa que es un cuerpo rocoso y no un gigante gaseoso como Júpiter. Es el más grande de los cuatro planetas terrestres del sistema solar en tamaño y masa, y también es el que tiene la mayor densidad, la mayor gravedad superficial, el campo magnético más fuerte y la rotación más rápida de los cuatro. También es el único planeta terrestre con placas tectónicas activas. El movimiento de estas placas produce que la superficie terrestre esté en constante cambio, siendo responsables de la formación de montañas, de la sismicidad y del vulcanismo. El ciclo de estas placas también juega un papel preponderante en la regulación de la temperatura terrestre, contribuyendo al reciclaje de gases con efecto invernadero como el dióxido de carbono, por medio de la renovación permanente de los fondos oceánicos. QUESTION: ¿En qué se diferencia la Tierra de Júpiter? Solution:
es un cuerpo rocoso y no un gigante gaseoso
8
NIv2
task1334_sqac_answer_generation
zs_opt
[ 0.5067465305328369, 0.9102993607521057, -0.7116365432739258, 0.13343340158462524, -0.4343316853046417, -0.9291375875473022, 0.6292074918746948, 0.30158573389053345, 0.10219710320234299, -0.29780542850494385, -0.4950098395347595, 0.5579439997673035, -0.3697068691253662, 0.1400844007730484, ...
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'. Q: Title: The Phone. Sentence 1: Rita was just dozing off. Sentence 2: It was a telemarketer! Sentence 3: Then the phone rang and woke up her. Sentence 4: She was so annoyed! Sentence 5: She yelled at them not to call back. A:
13254
4
NIv2
task217_rocstories_ordering_answer_generation
zs_opt
[ -0.05918507277965546, 0.7670472860336304, -0.20358708500862122, -0.6755679845809937, -0.15829415619373322, 0.14642050862312317, 0.5276864767074585, 0.6009876728057861, -0.021236641332507133, -0.20026734471321106, -1.0743138790130615, 0.0681915357708931, -0.7274178862571716, 0.0907012075185...
Detailed Instructions: You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . Q: Statement: <MASK>मध्ये "विशु", उत्तराखंड येथे "बिखोरी",आसामात "बोहाग बिहू",ओरिसात "महा विषुव संक्रांत", बंगाल प्रांतात पहेला वैशाख , तमिळनाडू मध्ये "पुंथंडु", बिहार आणि नेपाळ मध्ये "जुर्शीतल" अशा नावांनी वैशाखाचा पहिला दिवस उत्सव स्वरूपात साजरा केला जातो. Option A: ओरिसा Option B: तमिळनाडू Option C: बिहार Option D: केरळ A:
केरळ
9
NIv2
task950_wiki_cloze_mr_multiple_choice_question_answering
zs_opt
[ -0.14667999744415283, 0.2821832001209259, -0.45255446434020996, -0.5816036462783813, -0.4234052002429962, -1.0146281719207764, 0.49293166399002075, 0.10152691602706909, -0.20349638164043427, 0.5579243898391724, -0.5177183151245117, -0.33578503131866455, 0.08540163934230804, 0.2844974696636...
Given the task definition and input, reply with output. In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise. ACTION1: not liking a girls laugh ACTION2: trying to cut my friend out
yes
5
NIv2
task508_scruples_dilemmas_more_ethical_isidentifiable
zs_opt
[ -0.5388892889022827, 0.5318596363067627, 0.7948706746101379, 0.05741807818412781, -0.270027756690979, -0.5855627655982971, -0.21243883669376373, 0.6084332466125488, 0.2581477761268616, 0.5503273606300354, -0.41717952489852905, -0.7650488615036011, -0.5288515090942383, -0.7446980476379395, ...
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable by a human. All triple values need not be used directly in the sentence as long as the facts are adequately captured. Example input: [['Northwestern College', 'NICKNAME', 'Red Raiders'], ['Northwestern College', 'LOCATION', 'Orange City, Iowa']] Example output: The team whose nickname is red raiders is located in the orange city, iowa Example explanation: This sentence uses the triplets by correctly using the (subject, predicate, object) semantics for both the triplets provided. Since college teams are popularly associated with nicknames, some information in the generated sentence can be inferred. In this case, Northwestern College was replaced with the team automatically. Q: [['Cocum', 'eatType', 'pub'], ['Cocum', 'customer rating', 'average'], ['Cocum', 'familyFriendly', 'yes']] A:
A family friendly pub Cocum, has a average customer rating.
3
NIv2
task1409_dart_text_generation
fs_opt
[ -0.218888521194458, 0.202560156583786, -0.03683166950941086, -0.7404241561889648, 0.10136476159095764, 0.077386774122715, -0.012430939823389053, 1.0407837629318237, -0.28643563389778137, 0.21230727434158325, 0.405765175819397, -0.24845005571842194, -0.43714576959609985, -0.6116313934326172...
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the index of first word is 1. A woman on standing a pier with a red umbrella
(3, 4)
0
NIv2
task089_swap_words_verification
zs_opt
[ -0.4275617003440857, 0.7861274480819702, -0.3819288909435272, -0.7901972532272339, -0.09850326925516129, -0.43636006116867065, 0.2210768759250641, 0.524925947189331, 0.31508710980415344, -0.01208152063190937, -0.23560813069343567, -0.45304733514785767, 0.0509520024061203, -0.09566233307123...
Q: In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'. Context: Sydney gave Carson a new lease on life when she donated a kidney. Question: What will happen to Carson? Options: (A) seek revenge (B) die a quick death (C) improve his quality of life A:
C
7
NIv2
task580_socialiqa_answer_generation
zs_opt
[ 0.1761447638273239, 0.17824772000312805, 0.23529447615146637, -0.3196823000907898, 0.12979069352149963, -0.7680668830871582, 0.2798457741737366, 0.4789617657661438, 0.18002533912658691, 0.2480560839176178, 0.1871105432510376, 0.44622868299484253, 0.02740326151251793, 0.08412262797355652, ...
Detailed Instructions: In this task, you will be given two sentences sentence1 and sentence2. You should decide whether the second sentence is entailed(agreed) by the first sentence. If it does entail, answer "yes", else answer "no". See one example below: Problem: sentence1:region is nation in location sentence2:region is country in location Solution: yes Explanation: A nation is a community of people of similar characteristics/descent with a common government. A country is a region sharing a common government. Hence, a nation can be defined as a country. Problem: sentence1:employer is pushing for employer sentence1:employer is pushing employer Solution:
no
4
NIv2
task970_sherliic_causal_relationship
fs_opt
[ -0.40909725427627563, 0.5991501212120056, 0.48425203561782837, -0.5330427885055542, -0.21627721190452576, -0.2256944477558136, 0.6438338756561279, 0.6011009216308594, -0.03341810405254364, -0.18680240213871002, -0.6088219881057739, -0.31063076853752136, -0.35777974128723145, -0.10814720392...
In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on the label and the premise sentence. Your sentence should be fluent and grammatically correct. Even though there exist multiple answers, we only need a single answer. Premise: ۸ لیکن از این جهت که خداوند شما را دوست می‌داشت، و می‌خواست قسم خود را که برای پدران شما خورده بود، بجا آورد، پس خداوند شما را با دست قوی بیرون آورد و از خانۀ بندگی از دست فرعون، پادشاه مصر، فدیه داد. <sep> Label: Entailment خداوند شما را برگزید چون شما را دوست داشت. Premise: در همین حال بود که زلزله اتفاق افتاد. <sep> Label: Neutral زلزلۀ اردبیل یکی از غم انگیزترین زلزله ها بود. Premise: تلویزیون مهمترین وسیله برای انتقال تاریخ است. <sep> Label: Entailment
تلویزیون مهمترین وسیله برای نمایش تاریخ است.
0
NIv2
task464_parsinlu_entailment_sentence_generation
fs_opt
[ -0.8322668671607971, 0.2339640110731125, 0.01706940308213234, 0.1313706338405609, -0.5099010467529297, 0.17371024191379547, 0.8419861793518066, 0.44605299830436707, 0.00847136601805687, -0.44354474544525146, -1.0570813417434692, 0.6496447324752808, -0.7649872899055481, 0.16032961010932922,...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surprise', 'happiness', 'sadness', 'anger', 'disgust'. Person1: Hey man, you wanna buy some weed? Person2: Somewhat? Person1: Weed! You know ? Pot , Ganja , Mary Jane some chronic ! Person2: Oh , umm , no thanks . Person1: I also have blow if you prefer to do a few lines . Person2: No , I am ok , really . Person1: Come on man ! I even got dope and acid ! Try some ! Person2: Do you really have all of these drugs ? Where do you get them from ? Person1: I got my connections ! Just tell me what you want and I ’ ll even give you one ounce for free . Person2: Sounds good ! Let ’ s see , I want . Person1: Yeah ? Person2: I want you to put your hands behind your head ! You are under arrest! Solution: fear, disgust, fear, happiness, fear, happiness, fear, disgust, fear, happiness, disgust, fear Why? The conversation happened between the two people contains the emotions fear, disgust, and happiness. Therefore the labels are in the order. New input: Person1: Excuse me . Is this seat taken ? Person2: No , it isn't . Person1: Am I on right bus to Chicago ? Person2: Oh , no . This is going in the opposite direction . Person1: Oh , my God ! Person2: I suggest you get off at the next stop and ask again at the station . Person1: I will . Thank you . Solution:
No emotion,No emotion,No emotion,No emotion,surprise,No emotion,happiness
0
NIv2
task1532_daily_dialog_emotion_classification
fs_opt
[ 0.24172410368919373, 0.08095068484544754, -0.7736104726791382, -0.48252439498901367, 0.137663334608078, -0.7343248128890991, 0.7699054479598999, 0.5198174118995667, -0.3245617747306824, -0.19876909255981445, -0.6823037266731262, -0.41196733713150024, -0.41722604632377625, 0.374141752719879...
You will be given a definition of a task first, then some input of the task. 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. who starred in Legionnaire? Output:
Jean-Claude Van Damme, Adewale Akinnuoye-Agbaje, Steven Berkoff, Nicholas Farrell
1
NIv2
task615_moviesqa_answer_generation
zs_opt
[ -0.06377150863409042, 0.545915961265564, -1.171736478805542, -0.5253793001174927, -0.8428125381469727, 0.39684486389160156, 0.6512618064880371, -0.22797590494155884, 0.366483598947525, -0.6406211853027344, 0.36815813183784485, -0.8059905767440796, -1.112831711769104, -0.2392563819885254, ...
Teacher: Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question. Teacher: Now, understand the problem? If you are still confused, see the following example: Question: Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia? Answer: As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. ILC2s are also linked with high tissue and blood eosinophilia and have a potential role in the activation and survival of eosinophils during the Th2 immune response. The association of innate lymphoid cells in CRS provides insights into its pathogenesis. Solution: yes Reason: The answer clearly says that ICLSs are elevated, which is exactly what the question asks. Hence, the output will be yes and it is correct. Now, solve this instance: Question: Does coronary bypass grafting using crossclamp fibrillation result in reliable reperfusion of the myocardium when the crossclamp is intermittently released : a prospective cohort study? Answer: Crossclamp fibrillation does not result in reliable reperfusion of the myocardium between periods of crossclamping. Student:
no
2
NIv2
task846_pubmedqa_classification
fs_opt
[ -0.7591186761856079, 0.04397806525230408, -0.23032785952091217, 0.06505946815013885, 0.061598073691129684, -0.32073086500167847, 0.07485470175743103, 0.5821765661239624, -0.15688854455947876, -0.09376895427703857, -0.3755717873573303, 0.0895567387342453, -0.622882604598999, 0.1974293589591...
In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question. One example is below. Q: North Willingham is a village and civil parish in the West Lindsey district of Lincolnshire, England. The population of the civil parish (including Sixhills) was 181 at the 2011 census. It is situated 3.5 mi east from the town of Market Rasen on the A631 road between Market Rasen and Louth. Question: Which had a bigger population at the 2011 census, North Willingham or Market Rasen? Answer: Market Rasen A: Fact_1: North Willingham is a village and civil parish in the West Lindsey district of Lincolnshire, England. Fact_2: The population of the civil parish including Sixhills was 181 at the 2011 census. Rationale: Here, we can see that both generated facts are helpful in answering question. Q: The Greatest Game Ever Played is a 2005 biographical sports film based on the early life of golf champion Francis Ouimet. The film was directed by Bill Paxton, and was his last film as a director. Shia LaBeouf plays the role of Ouimet. The film's screenplay was adapted by Mark Frost from his book, "The Greatest Game Ever Played: Harry Vardon, Francis Ouimet, and the Birth of Modern Golf". It was shot in Montreal, Canada, with the Kanawaki Golf Club, in Kahnawake, Quebec, the site of the golf sequences. Question: What is a 1937 American animated musical fantasy film produced by Walt Disney Productions, Snow White and the Seven Dwarfs or The Greatest Game Ever Played ? Answer: Snow White and the Seven Dwarfs A:
The Greatest Game Ever Played is a 2005 biographical sports film based on the early life of golf champion Francis Ouimet.
9
NIv2
task192_hotpotqa_sentence_generation
fs_opt
[ 0.09155391901731491, 0.4235650897026062, -0.1368112415075302, -0.37009143829345703, -0.3505285382270813, -0.006897588726133108, 0.21347489953041077, 0.7278044819831848, -0.475796103477478, -0.38540446758270264, -0.023499218747019768, 0.46367156505584717, -0.5895087718963623, -0.05482959747...
Q: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned. [-628, -119, -562, 960, 298, 91, 445, -280, -40, 738, -714, -645, 43, -185, 220, -767, -943, 998, -26, -223, 663, 293, -282] A:
[-767, -282]
7
NIv2
task372_synthetic_palindrome_numbers
zs_opt
[ -0.8714935779571533, 0.23157349228858948, -0.39464807510375977, -0.5508820414543152, -0.26693207025527954, 0.6325994729995728, 0.8376733064651489, 0.17762532830238342, -0.5789330005645752, -0.22738641500473022, -0.6383206844329834, -0.14451350271701813, -0.382414311170578, -0.2597301900386...
Detailed Instructions: In this task, you need to count the number of times the given letter appears in the given sentence. Q: Sentence: 'a traffic light next to a street sign that says hollywood'. Find frequency of the letter 't' A:
8
9
NIv2
task113_count_frequency_of_letter
zs_opt
[ -0.6154882907867432, 0.5094338059425354, -0.14715248346328735, 0.029185598716139793, 0.17515498399734497, 0.25833049416542053, -0.17971393465995789, 0.5087167024612427, 0.0825943872332573, -0.0050413645803928375, -0.09699451923370361, -0.6062557101249695, -0.16863201558589935, -0.343692809...
Detailed Instructions: You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece. Q: Sentence: xname is the best place because it is affordable and a Southern restaurant with adequate food. ; Categories: price, recommend, cuisine A:
price[affordable], recommend[yes], cuisine[Southern]
9
NIv2
task1597_nyc_slot_filling
zs_opt
[ -0.8465632200241089, 0.29315176606178284, -0.5454028248786926, -0.8388482332229614, -0.6548928022384644, 0.15766146779060364, 0.6093769073486328, 0.0640629380941391, 0.3086785674095154, -0.13740751147270203, 0.6047133803367615, -0.059990596026182175, -0.6291502714157104, 0.2587971687316894...
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician. Q: Pewnego dnia usiadłam i pomyślałam: "" Czy można dostarczyć lek przeciwko HIV bezpośrednio do miejsc jego gromadzenia bez rozcieńczania leków? "". Jako naukowiec laserowy, miałam odpowiedź tuż przed oczami: Oczywiście lasery. A:
Un día, sentei e pensei: "" ¿Podemos dar menciñas contra o VIH directamente nas zonas de reservas sen o risco da dilución da menciña? Como científica experta en láseres, a resposta estaba ante min: Láseres, por suposto.
9
NIv2
task1261_ted_translation_pl_gl
zs_opt
[ -0.6471807956695557, 0.5576871633529663, -0.23700067400932312, -0.35626715421676636, -0.28310346603393555, -1.0872100591659546, -0.0463971346616745, 0.8494064807891846, 0.6528891324996948, 0.09465791285037994, -0.2021678388118744, 0.7212075591087341, -0.5392918586730957, 0.105891652405262,...
Teacher:In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'. Teacher: Now, understand the problem? Solve this instance: Problem: the cash difference between the selling prices of an article at a profit of 8 % and 6 % is rs 3 . the ratio of two selling prices is Options: a ) 51 : 52 , b ) 52 : 53 , c ) 53 : 54 , d ) 54 : 53 , e ) none of these Student:
d
6
NIv2
task1419_mathqa_gain
zs_opt
[ -0.1422121822834015, 0.12938439846038818, -0.19850164651870728, -0.11115957051515579, -0.6349009275436401, -0.02508706972002983, 0.4287293553352356, 1.192198395729065, -0.1936083436012268, -0.07901058346033096, -0.8715946674346924, -0.18782298266887665, -0.7703152894973755, -0.444665879011...
A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence. One example: ये मेरे देश के मतदाताओं की ताकत है। Solution is here: हे माझ्या देशाच्या मतदारांची शक्ती आहे. Explanation: Correct translation for given sentence. Input sentence means 'This is the power of my country's voters.' which is the same as the output sentence. Now, solve this: आगरा मेट्रो रेल परियोजना में दो कॉरिडोर होंगे, जो शहर के केंद्र से गुजरने के कारण ताजमहल, आगरा फोर्ट और सिकंदरा के साथ-साथ आईएसबीटी, राजा की मंडी रेलवे स्टेशन, मेडिकल कॉलेज, आगरा केंट रेलवे स्टेशन, कलेक्ट्रेट, संजय प्लेस और आस-पास के घनी आबादी वाले आवासीय क्षेत्रों को जोड़ेंगे। Solution:
आग्रा मेट्रो रेल्वे प्रकल्पाला दोन कॉरीडॉर राहणार असून ताज महाल,आग्रा किल्ला,राजा की मंडी रेल्वे स्थानक आणि घनदाट लोकवस्तीचे भाग याद्वारे जोडले जाणार आहेत. हा मार्ग काही ठिकाणी उन्नत तर काही ठिकाणी भूमिगत राहणार आहे.
6
NIv2
task1081_pib_translation_hindi_marathi
fs_opt
[ 1.0705440044403076, 0.5837850570678711, 0.3677709698677063, 0.027311455458402634, 0.24852731823921204, -1.2314555644989014, 0.11893204599618912, 0.5248526334762573, -0.3681339621543884, -0.10806956887245178, -0.23303909599781036, -0.09004366397857666, 0.13735812902450562, -0.32353055477142...
Q: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is. 元南アフリカ大統領のネルソン・マンデラ氏のひ孫がワールドカップ開幕コンサート後の交通事故で亡くなった。 A:
Ang apo sa tuhod ni dating Presidente Nelson Mandela ng South Africa ay namatay sa banggaan ng sasakyan pagkatapos ng konsierto upang buksan ang World Cup.
7
NIv2
task1118_alt_ja_fil_translation
zs_opt
[ 0.480079710483551, 0.5512420535087585, -0.4548361301422119, -0.10431107878684998, -0.16968584060668945, -0.4810907244682312, 0.5264036655426025, 0.3943808078765869, 0.11182937026023865, -0.12364259362220764, -0.7417091727256775, 0.23818397521972656, -0.9566584229469299, 0.898048460483551, ...
Instructions: In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False". Input: Reviews: I have ordered two of these, both received broken, one completely unusable. Two replacement trays were sent (from different warehouses) and one of those was also broken. *sigh* Category: office_product Output:
False
3
NIv2
task1308_amazonreview_category_classification
zs_opt
[ -0.19246217608451843, 0.3249279260635376, -0.1440027356147766, 0.025510385632514954, 0.2892584502696991, 0.007022756617516279, 0.37917348742485046, 0.5661236643791199, 0.1266549676656723, 0.25840437412261963, -0.37663739919662476, 0.1375499963760376, -0.30574995279312134, 0.122167006134986...
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese. Estas son as caras dos nenos que examinei con historias como a de Justin.
これは私が検査をした ― 子どもたちです皆ジャスティンと同じ境遇にいたのです
0
NIv2
task1239_ted_translation_gl_ja
zs_opt
[ -1.112097978591919, -0.049399830400943756, -0.19129341840744019, -0.8888826966285706, -0.5859595537185669, -0.14954055845737457, 0.7916673421859741, -0.03637993335723877, 0.2921617925167084, -0.0703352838754654, 0.1372348517179489, -0.19996342062950134, -0.45887070894241333, 0.644604921340...
Detailed Instructions: Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make your responses similar to the given correct answer. To this end, try to keep both the length and the style as similar as possible between the correct and the incorrect answer. To make your incorrect answers more difficult, try to incorporate words from context. To avoid being predictable or repetitive, try to add more variations and complexity. Q: Context: One of them said they were not from around there and had no idea . We could identify with that . I decided to turn back and try and head in the direction of the highway because I knew it went back to Ambleside . By this time , the sun had disappeared behind the mountain and I was starting to have visions of bedding down under some rock for the night while our eighteen college students wondered what in the world could have become of us . Question: Why is the narrator looking for a rock ? Correct Answer: They need shelter . A:
They need to crush it up .
9
NIv2
task025_cosmosqa_incorrect_answer_generation
zs_opt
[ 0.5655651688575745, 0.9596858620643616, 0.3709906339645386, -0.40700191259384155, -0.6882950663566589, -1.3834633827209473, 0.422002375125885, 0.5781111717224121, 0.5278409123420715, 0.09933776408433914, -0.010724189691245556, -0.04973633587360382, -1.0794037580490112, -0.5216366052627563,...
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence. Ex Input: Sentence 1: A man wearing a red shirt and black shorts on a unicycle holding three baseball bats for a crowd of people. Sentence 2: The man is naked Ex Output: The man is wearing a red shirt Ex Input: Sentence 1: A black horse stands in the grass at a fence, while a brown dog looks on. Sentence 2: A black horse is being put into it's stable. Ex Output: A black horse is being looked at by a dog. Ex Input: Sentence 1: Baseball players running, one is picking up a ball, at a baseball field. Sentence 2: The players are at a soccer field. Ex Output:
The players are active.
1
NIv2
task186_snli_contradiction_to_entailment_text_modification
fs_opt
[ 0.15920111536979675, 0.3143346905708313, -0.3297433853149414, 0.29089027643203735, 0.11325088143348694, -0.4110209345817566, 0.35428422689437866, 0.7734360694885254, 0.265990287065506, -0.722964882850647, -1.660787582397461, 0.17908009886741638, -0.13017384707927704, -0.5112977623939514, ...
Detailed Instructions: Two analogies on manipulating items in a kitchen is given in the form "A : B. C : ?". The phrase "A : B" relates item A to its appropriate manipulation B. Your task is to replace the question mark (?) with the appropriate manipulation of item C, following the "A : B" relation. Your answer should be a verb which shows a way to manipulate the given object. Problem:bag : open. candy : ? Solution:
unwrap
8
NIv2
task1158_bard_analogical_reasoning_manipulating_items
zs_opt
[ 0.10557693243026733, 0.9701991081237793, -0.47437167167663574, -0.029037650674581528, -0.3444911539554596, -0.05538639798760414, 0.6476649045944214, 0.5653492212295532, -0.2474709153175354, -0.6998834609985352, -0.2199895679950714, -0.12711307406425476, 0.42484354972839355, 0.1536683440208...
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No". One example: 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。 Thai: รายละเอียดถูกเปิดเผยโดยเลขาธิการกระทรวงคมนาคมของUK นางRuth Kelly ในสภาสามัญชน เมื่อเวลา17:30 UTC Solution is here: Yes Explanation: The converted Thai sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly. Now, solve this: Japanese: 問題が発射台で解決されるのか、または、2つの地域間でシャトルを輸送するのに約1日かかる、スペースシャトル組立棟で解決されるかどうかは依然として分かっていない。 Thai: และยังคงไม่มีความแน่ชัดในขณะนี้ว่าการซ่อมแซมจะดำเนินการที่ฐานปล่อย หรือในอาคารประกอบเครื่องยนตร์ยานอวกาศ ซึ่งใช้เวลาเกือบหนึ่งวันเต็มในการเคลื่อนย้ายยานอวกาศระหว่างสองพื้นที่นี้ Solution:
Yes
6
NIv2
task1129_alt_ja_th_answer_generation
fs_opt
[ -0.18429690599441528, -0.6311309933662415, -0.4657789468765259, 0.024861391633749008, 0.3796594440937042, -1.0451029539108276, 0.4041879177093506, 0.2652673125267029, -0.7686956524848938, 0.052442438900470734, 0.17333489656448364, 0.8725045919418335, 0.15812796354293823, 0.8292272090911865...
Definition: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the blank with a question, it should have an answer from the agent in the given dialogue. Fill the gap marked with underline. Input: customer: Hello, Stephanie Baker here. agent: Hello Baker, how can I support you today? customer: I would like to meet my nephew, so please book my ticket from PHL to IAH. agent: Please share your trip dates for further process. customer: My itinerary dates are 09/27 and 09/29. agent: Please wait for a moment. customer: Sure. agent: Flight 1000 of Frontier airlines available for you. customer: Go ahead to book my ticket. agent: Your ticket is booked successfully. __ agent: You are welcome. Output:
customer: Thank you for assisting me.
2
NIv2
task574_air_dialogue_sentence_generation
zs_opt
[ -0.30101922154426575, -0.07558330148458481, -0.28024426102638245, -0.8137530088424683, 0.2890745997428894, 0.60834801197052, 1.1842530965805054, -0.4550408124923706, 0.20011459290981293, -0.15029460191726685, -0.3898889124393463, -0.13634410500526428, -0.6189284920692444, 0.617647826671600...
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence. Input: Sentence 1: A vendor sits in the middle of a display of glasses at a street market in an Asian country. Sentence 2: A vendor joyously sits Output:
A vendor sits
3
NIv2
task189_snli_neutral_to_contradiction_text_modification
zs_opt
[ -0.4635147452354431, 0.24379703402519226, 0.15850447118282318, -0.6148481965065002, 0.04684573411941528, 0.4866209626197815, -0.22786417603492737, 0.33807969093322754, 0.023671992123126984, 0.05797620862722397, -0.6072224378585815, -0.3797340989112854, -0.24186185002326965, 0.0966235697269...
Part 1. Definition You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish. Part 2. Example Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes. Answer: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń. Explanation: The Galician sentence is correctly translated into Polish, because the meaning is preserved. Part 3. Exercise Pensade nos medios de comunicación de masas como provedores dun marco común e teredes a receita para levar esta idea a un lugar completamente novo. Answer:
Wyobraźcie sobie środki masowego przekazu dostarczające wspólnej płaszczyzny i mamy gotowy przepis na wykorzystanie tego pomysłu w zupełnie nowy sposób.
7
NIv2
task1244_ted_translation_gl_pl
fs_opt
[ -0.8230077028274536, 1.0000523328781128, -0.150214284658432, -0.6610102653503418, 0.23877078294754028, -0.4015360474586487, 1.266941785812378, 0.07022064924240112, 0.08588821440935135, -0.1279294788837433, -0.6531158089637756, 1.0184516906738281, -0.16101238131523132, 0.28243717551231384, ...
Given the task definition, example input & output, solve the new input case. In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character. Example: gocogccocco Output: gocog The substring 'gocog' is the longest possible substring that is also a palindrome. So this is a good example. New input case for you: eteeehhheetet Output:
eehhhee
1
NIv2
task850_synthetic_longest_palindrome
fs_opt
[ -0.6138308048248291, 0.8701635003089905, -0.005985435098409653, 0.007913274690508842, 0.2080078423023224, -0.22391971945762634, 0.6932163238525391, 0.03705707937479019, -0.18578186631202698, 0.08367295563220978, -0.622328519821167, 0.05935603752732277, -0.23430867493152618, -0.139169514179...
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct. She then shows how to put them in the girl's hair, keeping it in place with combs and clips. When it's set, she removes the curlers to show off beautiful curls. An older man is shown cleaning off a car in front of a home with a snow scraper. The camera pans around the car while the older man continues to push snow off of it. Two people are seen holding tennis rackets and hitting a ball around in a small room. The men
continue hitting the ball back and fourth while the camera captures their movements.
0
NIv2
task453_swag_answer_generation
fs_opt
[ -0.6273714900016785, 0.5342840552330017, -0.9617950916290283, 0.25016772747039795, -0.33958712220191956, 0.008315433748066425, 0.27743473649024963, 1.0177363157272339, -0.07952848821878433, 0.07449131458997726, -0.49114853143692017, 0.46234560012817383, 0.1028289645910263, -0.2390347421169...
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context One example: The girls continue to speak with one another while the girl knits. They Solution is here: put the bars around while speaking and play. Explanation: This is incorrect as the girls are not playing, they are knitting. Now, solve this: A skateboarder come rolling down a steep road. Skateboarders Solution:
's bikes on a driveway.
6
NIv2
task454_swag_incorrect_answer_generation
fs_opt
[ 0.1388290673494339, 1.020916223526001, -0.8114933967590332, 0.34026649594306946, -0.11008338630199432, -0.06613826751708984, -0.6432516574859619, 0.6820620894432068, 0.1955605447292328, 0.29157283902168274, -0.4157240390777588, 0.16123446822166443, -0.06185876205563545, -0.3139137327671051...
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the ending, and use names instead of pronouns (e.g. he / she) wherever possible. Beginning: The other day I was putting up curtains. Middle: The screws for the rod came out of the wall.
I had to start over again.
0
NIv2
task071_abductivenli_answer_generation
zs_opt
[ -0.12006473541259766, 1.2856507301330566, -0.14183399081230164, -0.3758120834827423, -0.6135337948799133, -0.12247994542121887, 0.6038592457771301, 0.5914676785469055, -0.2507627010345459, 0.13062015175819397, -0.7081512212753296, 0.3814401626586914, -0.3769299387931824, -0.029049091041088...
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as taboo in polite usage. Comment: "Trump is uninformed" , Unlike Obama who in eight years as leader of the world has led it into disaster and misery
Non-obscene
0
NIv2
task326_jigsaw_classification_obscene
zs_opt
[ -0.5250459909439087, 0.3180646300315857, 0.8937386274337769, 0.6496092677116394, 0.24413983523845673, -0.7133827209472656, 0.023492224514484406, 0.5489990711212158, 0.060724321752786636, 0.8170528411865234, -0.046925801783800125, -0.3368256390094757, -0.04922487586736679, -1.11637115478515...
You will be given a definition of a task first, then some input of the task. In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the passage can be used to answer the question. Indicate your choice as `a` for Yes or `b` for No. Question: How long did the battle where George was appointed colonel for last? Passage:Randall enlisted as a private in the 4th Pennsylvania Volunteer Infantry in the April 1861. He then accepted appointment to the 4th U.S. Infantry as second lieutenant in October. He served in New York and Washington, D.C., and in the field with the Army of the Potomac. He was a second lieutenant at the Siege of Yorktown, Battle of Gaines' Mill, Battle of Malvern Hill, Second Bull Run (where he commanded Company C), and Fredericksburg; and a first lieutenant at the Battle of the Wilderness. He was appointed a brevet captain for gallant service in the Battle of Antietam. He served as a major in the 14th New York Heavy Artillery Regiment, part of Major General Ambrose Burnside's IX Corps on the Richmond-Petersburg Front in 1864, and was commander of the regiment at the Battle of the Crater. The Dansville Advertiser reported on 7 September that he assumed command of the regiment on 18 August. This article also reports that he was wounded in the battle on 19 August. He was appointed a brevet lieutenant colonel, and then colonel for gallantry in the Battle of Fort Stedman. He mustered out of the Volunteer service on 26 August, and was appointed captain in the 4th US Infantry on 23 September 1865. Subsequently, he served at Davids' Island Military Reservation, New York Harbor, where he was in December 1867. Output:
b
1
NIv2
task233_iirc_link_exists_classification
zs_opt
[ 0.9074864387512207, 0.5891052484512329, -0.11372368037700653, -0.08812268078327179, -0.2786020040512085, -1.6136012077331543, 0.7405967712402344, 0.6693013906478882, 0.4542810320854187, -0.1487044095993042, -0.3222516179084778, -0.43164703249931335, -0.33927664160728455, 0.0785984098911285...
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in 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 Q: Who composed the music for a director that stablished his own production house called Bommarillu Vari and had a movie that ran for 350 days in the cinema ? A:
WP VBD DT NN IN DT NN WDT VBD PRP$ JJ NN NN VBN NNP NNP CC VBD DT NN WDT VBD IN CD NNS IN DT NN .
4
NIv2
task345_hybridqa_answer_generation
zs_opt
[ -0.20887967944145203, 0.6809393167495728, -0.35318684577941895, 0.5800455212593079, -0.6223118305206299, -0.40420258045196533, 0.9095301032066345, 0.5416165590286255, -0.07987324893474579, -0.23188696801662445, -0.48028045892715454, 0.2241480052471161, -0.3920832872390747, -0.2672281265258...
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list. [EX Q]: [55, 157] [EX A]: [166, 472] [EX Q]: [21, 32, 25, 40, 12] [EX A]: [64, 16, 76, 20, 6] [EX Q]: [133, 131, 27, 18] [EX A]:
[400, 394, 82, 9]
6
NIv2
task206_collatz_conjecture
fs_opt
[ -0.6654492616653442, 0.6080739498138428, 0.08841371536254883, -0.9801409840583801, -0.673727810382843, -0.06557079404592514, 1.3648929595947266, -0.29837584495544434, -0.1974562555551529, 0.3044135272502899, -0.8444963693618774, -0.26763349771499634, -0.5890569090843201, -0.374508857727050...
Teacher:In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question. Teacher: Now, understand the problem? Solve this instance: Do you eat red meat? Student:
X wants to know about Y's food preferences.
6
NIv2
task567_circa_text_generation
zs_opt
[ -0.4872613549232483, 0.19897396862506866, 0.11365310847759247, 0.15859320759773254, -0.2628387212753296, -0.01855725608766079, 0.39334478974342346, 0.9032008051872253, 0.44722780585289, -0.518440306186676, -0.5028945207595825, -0.5463341474533081, -0.5744773745536804, 0.04221215099096298, ...
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 happens after the Tail or not. 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. One example: Head: PersonX cuts the ribbon<sep>Tail: PersonX opens a store Solution is here: Yes Explanation: This is a good example. The Head happens after the Tail. Now, solve this: Head: PersonX abolishes ___ in the states<sep>Tail: to find out to stop that problem Solution:
No
6
NIv2
task1205_atomic_classification_isafter
fs_opt
[ 0.17151933908462524, 0.07094138860702515, 0.26111525297164917, -0.09411150217056274, -0.7211922407150269, -0.6981695294380188, 1.2647911310195923, 0.5926642417907715, -0.5672828555107117, -0.2395312488079071, -0.5837628245353699, -0.5894578099250793, -0.5142946243286133, 0.2971583604812622...
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer Example input: 6 @ 17 Example output: 23 Example explanation: Here, '@' represents the addition operation. So, the answer is 23 (6+17=23). Q: 2440 # 4938 # 7335 # 7495 # 598 @ 3662 A:
-14264
3
NIv2
task087_new_operator_addsub_arithmetic
fs_opt
[ -0.06945019960403442, 0.7562054395675659, -0.696197509765625, -0.1591004878282547, -0.6381796598434448, -0.5547219514846802, 0.8869746327400208, 1.5314899682998657, 0.8067622184753418, -0.19021984934806824, -0.5148084163665771, -0.2491883486509323, -0.061471909284591675, 0.0020273255649954...
Teacher:Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is. Teacher: Now, understand the problem? Solve this instance: ເຄື່ອງບິນກາມແອຈາກອາຟການິສຖານ ທີ່ກຳລັງເດີນທາງໃນເຂດຊິນຈຽງຂອງປະເທດຈີນບໍ່ໄດ້ຖືກປົ້ນແລະບໍ່ໄດ້ຮັບການຂົ່ມຂູ່ວາງລະເບີດ ອີງຕາມເຈົ້າໜ້າທີ່ອາຟການິສຖານ. Student:
アフガニスタン当局によると、中国新疆地域のアフガニスタンからのカム航空はハイジャックされておらず、爆発予告も受けていなかった。
6
NIv2
task1125_alt_lo_ja_translation
zs_opt
[ -0.6055138111114502, 0.08604850620031357, -0.17198598384857178, -0.5492109656333923, 0.15018552541732788, -0.5993950366973877, 0.9838933348655701, 0.40265560150146484, -0.5758836269378662, 0.04543546587228775, -0.6742430925369263, 0.6477406620979309, -1.2196965217590332, 0.2661890387535095...
Detailed Instructions: A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs. See one example below: Problem: Text: Cheval de soins pour les enfants de 3 ans! Solution: French Explanation: The given text is in French language Problem: Text: Het model is bewezen duurzaamheid, hoge UV-bestendigheid en in de eerste plaats, dat voetbal gras is zacht en veilig is voor de studenten. Solution:
Dutch
4
NIv2
task447_opus_paracrawl_classification
fs_opt
[ 0.18494707345962524, 0.23339560627937317, -0.19077076017856598, -0.5002440214157104, -0.03498793765902519, -0.9404107928276062, 0.04693078249692917, 0.6815470457077026, 0.13361290097236633, 0.0035610205959528685, -0.17850181460380554, 0.8025847673416138, -0.11084673553705215, -0.0667118579...
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English. Q: Cientos de miles de personas fueron evacuadas en el momento del accidente, pero no todos aceptaron ese destino. A: Hundreds of thousands of people were evacuated at the time of the accident, but not everybody accepted that fate. **** Q: Y, por así decirlo, pusimos una mini planta explotadora en Media Lab, trajimos universitarios y los convencimos de hacer "" investigación "". (Risas) Tuvimos madrugadas de películas y pizza, atornillando miles de tuercas. A: So we sort of set up a mini-sweatshop in the Media Lab and brought undergrads in and convinced them to do "" research "" — (Laughter) and had late nights watching movies, eating pizza and screwing in thousands of screws. **** Q: Esta se llama teoría jerárquica cognitiva, por cierto. A:
This is called a cognitive hierarchy theory, by the way. ****
4
NIv2
task1226_ted_translation_es_en
fs_opt
[ -0.29476198554039, 0.16555051505565643, 0.2867968678474426, -0.10297652333974838, -0.10651873797178268, -0.6488296985626221, -0.7102034091949463, 1.1317241191864014, 0.48442089557647705, -0.17143774032592773, 0.15210029482841492, 0.5143718719482422, -0.07779310643672943, 0.0950602889060974...
Given the task definition and input, reply with output. In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance. [-96, -28, -99, 40, -37, 88, 45]
3
5
NIv2
task1445_closest_integers
zs_opt
[ -0.8522028923034668, 0.6192213296890259, 0.1004529818892479, -0.14630648493766785, -0.31031543016433716, 0.22925175726413727, 0.29846686124801636, 0.012951932847499847, 0.4700735807418823, 0.17278426885604858, -0.5028558969497681, -0.5318394899368286, -0.4108762741088867, -0.06067939847707...
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change any content in the given question beyond a word or two i.e. the trigger word/phrase. PersonX and PersonY should not be equally likely to fill the blank. For your question, PersonY should be a well-agreed answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people or generic names (e.g., Donald Trump, John Doe, etc.) in your question. Avoid repeating the same style or phrase in generating your modified question e.g. this task can be always solved using a simple negation i.e. by adding not, never, etc. Instead, try to increase the word diversity. Your question must contain at least 15 and at most 30 words. Your question must have at least 70% overlapping words with the given question. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that PersonX and PersonY have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY. Although there are many correct answers, you only need to write one of them. Example: Context word: upset. Question: PersonX yelled at PersonY because _ was so upset about the news. Answer: PersonX. Example solution: PersonX comforted at PersonY because _ was so upset about the news. Example explanation: On replacing the trigger word "yelled" with its antonym "comforted", the answer flips to PersonY which is as per the given instruction. So, this is a valid question. Problem: Context Word: luck. Question: PersonX was having a good run of luck gambling but PersonY was having a run of bad luck. _ took a big pile of chips to cash out. Answer: PersonX
Solution: PersonX was having a good run of luck gambling but PersonY was having a run of bad luck. _ took a small pile of chips to cash out.
5
NIv2
task035_winogrande_question_modification_person
fs_opt
[ 0.8935577273368835, 0.09961222112178802, -0.33254748582839966, -0.03117624670267105, 0.2744472026824951, -1.0051093101501465, 1.3637837171554565, 0.5948535203933716, -0.5153681039810181, -0.7073659896850586, -0.34618330001831055, 0.14312845468521118, -0.8019063472747803, 0.3165010213851928...
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words. Q: Sentence1: hiding can be used for avoiding predators. Sentence2: Camouflage is used for avoiding predators. A: avoiding **** Q: Sentence1: Rainy clouds cause rain, and excess water vapor from clouds is the basis of rainbows. Sentence2: Condensation can lead to rain. A: rain **** Q: Sentence1: zinc has a positive impact on the healing of wounds. Sentence2: Zinc has a positive impact on injury to the skin and underlying soft tissues. A:
impact ****
4
NIv2
task039_qasc_find_overlapping_words
fs_opt
[ -0.16714349389076233, 1.3055899143218994, 0.2206011414527893, -0.5071681141853333, 0.1510424166917801, -1.0282775163650513, 0.5400865077972412, 0.706301212310791, -0.1758846640586853, -0.10759204626083374, -0.8378715515136719, -0.4064251184463501, -1.4517043828964233, 0.2315405011177063, ...
Definition: This task is about identifying the subject of a given sentence. The subject of a sentence is the person, place, or thing that is performing the action of the sentence. The subject represents what or whom the sentence is about. Each sentence in this task is guaranteed to contain a single subject. The input is a sentence and the output is the identified subject of that sentence. Input: The AWH Engineering College is located in Kuttikkattoor. Output:
AWH Engineering College
2
NIv2
task1411_dart_subject_identification
zs_opt
[ -0.4693257808685303, 0.021427176892757416, 0.26848864555358887, -1.1763420104980469, -0.2760878801345825, -0.5557129383087158, 0.6881281137466431, 0.1492476761341095, 0.5307040214538574, -0.17051249742507935, -0.7141764163970947, 0.22831715643405914, -0.40043145418167114, 0.668867230415344...
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic. Q: দুটো কুকুরের মধ্যে ভীষন ঝগড়া চলছে লজ্জা করে না শালা মানুষের বাচ্চা A: personal **** Q: রেন্ডি মালাউন মরলে আনন্দ পায়না যে জন কে বলে মানুষ তারে আম্লিগ সে জন ৷৷৷৷ A: non-personal **** Q: একটু পার আওয়ামীলী সংবাদ সম্মেলন করে বলবে এই ছেলে কোনোদিন আওয়ামীলীগে ছিলো না অমুক জেলার জামায়াত শিবিরের সভাপতি ছিলো A:
non-personal ****
4
NIv2
task1490_bengali_personal_hate_speech_binary_classification
fs_opt
[ -0.39399802684783936, -0.21540915966033936, 0.1941629946231842, 0.40038448572158813, -0.386650949716568, -0.10104589909315109, 0.13103759288787842, 0.20827405154705048, -0.12304097414016724, -0.06343309581279755, -0.5424119234085083, -0.14625678956508636, -0.08015871793031693, -0.279021382...
Instructions: Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'. Input: news:Last week , however , Nokia announced that it will pursue a long-term relationship with Microsoft , and make the Windows Phone 7 operating system the foundation for Nokia mobile phones . polarity:negative Output:
false
3
NIv2
task844_financial_phrasebank_classification
zs_opt
[ -1.4180428981781006, 0.5098899602890015, -0.3441511392593384, 0.4413296580314636, -0.557070791721344, -0.7426409721374512, 0.9400455951690674, 0.6287232637405396, 0.8532111644744873, 0.34385398030281067, 0.23438140749931335, 0.1531466841697693, -0.11525379121303558, 0.26140961050987244, ...
In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise. -------- Question: i am not feeling more and more freaking relaxed Answer: joy Question: i have for myself even when i m feeling crappy Answer: sadness Question: i sure hope we do as i feel very isolated without any contact with home Answer:
sadness
7
NIv2
task512_twitter_emotion_classification
fs_opt
[ -0.8143057227134705, 0.08568444103002548, 0.3365991711616516, 0.2736295163631439, -0.05511905252933502, -0.6758328676223755, 0.5560794472694397, 0.7481042146682739, 0.5469131469726562, 0.1809290498495102, 0.003064393065869808, 0.02784557268023491, -0.5528016686439514, -0.0627189353108406, ...
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words. Q: works well ! A:
Four Stars
4
NIv2
task1342_amazon_us_reviews_title
zs_opt
[ -0.10609078407287598, 0.5040811896324158, -0.2948915958404541, -0.2930700480937958, 0.03430920094251633, -0.3528560698032379, 0.8334518671035767, -0.3788902163505554, -0.009021224454045296, 0.5046776533126831, -0.13063770532608032, -0.07495582103729248, -0.6653549075126648, -0.310740172863...