inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
இந்தியா அல்லது உஸ்பெகிஸ்தானிடமிருந்து அறிவிப்பு வந்த நாளிலிருந்து ஆறு மாதத்திற்கு பிறகு இந்த ஒப்பந்தம் காலவதியாகிவிடும்
Solution: భారతదేశం లేదా ఉజ్బెకిస్తాన్ నుండి ప్రకటన తర్వాత రోజు నుండి ఆరు నెలల తరువాత, ఈ ఒప్పందం సకాలంలో ఉంటుంది
Why? Correct translation for given sentence. Input sentence means 'After six months from the day after the announcement from India or Uzbekistan, this agreement will be timely' which is the same as the output sentence.
New input: வேளாண் விஞ்ஞானிகள் தேர்வினை துரிதப்படுத்துவதன் மூலம் வேளாண் சமுதாயத்திற்கு இந்த நடவடிக்கை மிகவும் பயனுள்ளதாக அமையும்.
Solution: | తద్వారా వ్యవసాయదారుల సముదాయానికి, మొత్తం మీద వ్యవసాయ రంగానికి ప్రయోజనం చేకూరుతుంది. | 0 | NIv2 | task1075_pib_translation_tamil_telugu | fs_opt | [
-0.06897857785224915,
0.8287411332130432,
-0.11280910670757294,
0.23723432421684265,
0.04038997367024422,
-0.8081075549125671,
0.4864129424095154,
0.5017004609107971,
-0.5171661376953125,
0.38200339674949646,
-0.27764928340911865,
-0.059863656759262085,
-0.09903193265199661,
0.294670552015... |
Part 1. Definition
In this task, you are given books product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Part 2. Example
Hopeful for those who seek harmony in the world . I wouldn't recommend this to anyone who thinks that religious wars, repression of individual spirits or rape of the earth are good things. Those who seek peace, harmony, celebration of each of us and respect for our earth will find this hopeful
Answer: POS
Explanation: The overall sentiment of the review is positive as the reviewer mentions positive expressions such as 'hopeful', 'will find this helpful' etc.. Hence, the label is 'POS'.
Part 3. Exercise
The best and pure alpinism . Realy the core of alpinism. No bla,bla bussiness. Expirienced in person and transfered into the readers bloodstreem
Answer: | POS | 7 | NIv2 | task476_cls_english_books_classification | fs_opt | [
-0.20075583457946777,
0.2302544265985489,
-0.04247910901904106,
-0.0009284884436056018,
0.4412997364997864,
-0.9397425055503845,
0.5989081263542175,
0.11287391185760498,
0.4114251136779785,
0.4820514917373657,
-0.6135593056678772,
0.10318451374769211,
-0.31710347533226013,
-0.1424736976623... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Input: Puedo darles unas vueltas, esto, aquello, lo otro.
Output: | אני יכולה לתת לך מקבץ כזה או אחר. | 2 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
-0.15918366611003876,
0.8424650430679321,
-0.25305110216140747,
0.42894160747528076,
-0.5359567403793335,
-0.0710003599524498,
0.7549382448196411,
0.7785046100616455,
0.6027697324752808,
-0.6311463117599487,
-1.1095372438430786,
0.09243945777416229,
-0.6069302558898926,
-0.1166953966021537... |
TASK DEFINITION: In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
PROBLEM: Sentence1: Binh decided to wash her cat. Sentence2: She picked up her cat from the deck. Sentence3: Then she filled the bathtub with water. Sentence4: Binh coaxed the cat into the water to wash it.
Sentence5: The cat ended up squeaky clean.
SOLUTION: Yes
PROBLEM: Sentence1: Arnold was scared of cats. Sentence2: He thinks all of them are creepy. Sentence3: One day he visited his girlfriend's house. Sentence4: His girlfriend has a cat.
Sentence5: Arnold dumped his girlfriend.
SOLUTION: Yes
PROBLEM: Sentence1: Jay was having car trouble. Sentence2: He puttered into the garage. Sentence3: He was afraid the repair would prove costly. Sentence4: But the mechanic gave him some good news.
Sentence5: He told Jay the repair would cost nine thousand dollars.
SOLUTION: | No
| 8 | NIv2 | task298_storycloze_correct_end_classification | fs_opt | [
-0.0693015605211258,
0.05666416883468628,
-0.22384792566299438,
-0.002575324149802327,
-0.009412012994289398,
-0.5592041611671448,
0.4060943126678467,
0.6489312052726746,
-0.19005268812179565,
-0.20038935542106628,
-0.4048140048980713,
-0.2430451512336731,
-0.13905812799930573,
0.133374541... |
Definition: 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.
Input: look thrice and turn right
Output: | I_LOOK I_LOOK I_LOOK I_TURN_RIGHT | 2 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.18845859169960022,
0.435955673456192,
-0.3552972674369812,
0.04114469885826111,
0.17108026146888733,
-0.11648335307836533,
0.3029811680316925,
0.03050673007965088,
-0.027397025376558304,
0.002600438427180052,
-0.7223508358001709,
-0.2567687928676605,
-0.7356907725334167,
-0.1138828620314... |
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: La Conferencia Sectorial de Inmigración y Emigración se reúne dentro de una hora por primera vez desde 2015. En lo que va de año, han llegado en patera a las costas de la región 145 ciudadanos argelinos.
| Non-hateful | 5 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.8529599905014038,
-0.18889594078063965,
0.42461803555488586,
0.714604377746582,
-0.17057564854621887,
-0.10430578887462616,
0.3553982377052307,
1.0618526935577393,
0.08199917525053024,
0.40005922317504883,
-0.09678484499454498,
0.4946631193161011,
-0.505425214767456,
-0.1352013498544693... |
Q: In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb, Num: Number, Misc: Miscellaneous, Pron: Pronoun, Prep: Preposition, Punc: Punctuation.
Het feit dat koning Albert en zijn kinderen zich alsmaar ' paars-groener ' gaan opstellen , herinnert de CVP er koudweg aan dat ze niet langer de lakens uitdeelt .
A: | Art N Conj N N Conj Pron N Pron Adv Punc N Punc V V Punc V Art N Adv Adv Adv Conj Pron Adv Adj Art N V Punc | 7 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | zs_opt | [
-0.45476460456848145,
0.6199965476989746,
-0.4668787121772766,
0.1174941211938858,
-0.5219659805297852,
-0.32115593552589417,
0.18642255663871765,
0.38774362206459045,
0.31861037015914917,
-0.3896098732948303,
-0.008731383830308914,
0.7408574819564819,
-0.31677162647247314,
0.0712510570883... |
In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
Example: ['238', 'h', '92', 'U', '2799']
Example solution: h, U
Example explanation: Here, the alphabetical elements in the input list in order are 'h' and 'U'.
Problem: ['l', 'X', 'K', '771', 'g', 'V', '467', 'n', '7419', '4165', 'h', 'a', '5057', 'Q', 'A', '157']
| Solution: l, X, K, g, V, n, h, a, Q, A | 5 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | fs_opt | [
-0.6020272374153137,
0.679550051689148,
-0.3121778964996338,
-0.42056137323379517,
-0.07543838024139404,
-0.3124047517776489,
0.7080666422843933,
-0.34888315200805664,
-0.052532292902469635,
0.016511959955096245,
-0.4524069130420685,
-0.37315019965171814,
0.4584798216819763,
0.280982553958... |
Given the task definition and input, reply with output. In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Sentence: 'a skateboarder in a skatepark goes up a ramp'. Is 'skatepark' the longest word in the sentence?
| No | 5 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.17238181829452515,
0.9357107281684875,
0.30880868434906006,
0.09029408544301987,
-0.30001574754714966,
-0.39491480588912964,
-0.3435147702693939,
0.2675745189189911,
0.21809101104736328,
-0.712558925151825,
-0.3109550178050995,
0.11285600066184998,
-0.2613567113876343,
0.246795624494552... |
You will be given a definition of a task first, then some input of the task.
A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
उन्हों जांगला में एक बैंक शाखा का उद्घाटन किया तथा चुने हुए लाभार्थियों को मुद्रा योजना के तहत ण मंजूरी पत्रों का वितरण किया।
Output: | జాంగ్ లా లో ఒక బ్యాంకు శాఖను ఆయన ప్రారంభించారు. ముద్ర పథకం తాలూకు రుణ మంజూరు పత్రాలను ఎంపిక చేసిన లబ్ధిదారులకు ప్రదానం చేశారు. | 1 | NIv2 | task1045_pib_translation_hindi_telugu | zs_opt | [
-0.361743688583374,
0.48834455013275146,
0.09116387367248535,
0.5393502712249756,
0.29631727933883667,
-0.7274256944656372,
0.017375627532601357,
0.3834102153778076,
-0.21749740839004517,
-0.13598978519439697,
0.04357469081878662,
-0.6390460133552551,
-0.47080814838409424,
0.10800242424011... |
Instructions: This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Input: it was fine deciding single mums were the future ... ... but the frustrating truth was i did n't have their numbers .
Output: | it was a good decision that single mothers were the future ... but the truth was i did n't have the numbers on them . | 3 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.5968493819236755,
0.8945237398147583,
-0.2807881832122803,
-0.6546590328216553,
-0.8116518259048462,
0.285456120967865,
0.6981101036071777,
0.7110745906829834,
-0.030701804906129837,
0.03294330835342407,
-0.7337708473205566,
0.17177177965641022,
-0.31998923420906067,
-0.4496588110923767... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
One example is below.
Q: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
A: (Applause) However there is a political battle in our country.
Rationale: The Arabic sentence is correctly translated into English, because the meaning is preserved.
Q: فهذه الطرق الثلاث ، والشفافية ، والمساءلة ، والاختيار ، ستحدث فارقا ضخما
A: | So those three ways — transparency, accountability and choice — will make a huge difference. | 9 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.010141479782760143,
0.9630197882652283,
0.8074591755867004,
-0.9055718183517456,
0.03625263646245003,
-0.053405068814754486,
0.5923970937728882,
0.008903387002646923,
0.17211633920669556,
0.19084568321704865,
-0.3837398588657379,
0.2659071981906891,
-0.5154372453689575,
-0.2382962405681... |
Instructions: Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Input: Someone grabs onto someone's life vest but is swept away by the turbulence. Someone
Output: | rides closer on his elbows when a woman arrives. | 3 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
0.27793875336647034,
1.5240325927734375,
-0.9039546847343445,
-0.03621727228164673,
-0.3848639130592346,
-0.12173078954219818,
-0.03290819376707077,
0.37492477893829346,
-0.07967206835746765,
0.0764465481042862,
-0.49432480335235596,
-0.28930675983428955,
-0.9922219514846802,
-0.1922858655... |
Definition: In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?).
Input: and the β3-β4 turn failed to contact pAPN.
Output: | finding | 2 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.3333178162574768,
0.48552560806274414,
-0.19011355936527252,
-0.3110557794570923,
0.059870436787605286,
0.6225869655609131,
1.1419765949249268,
0.3282260298728943,
0.10008278489112854,
0.3549273610115051,
-1.4121181964874268,
0.5022470355033875,
0.4298657774925232,
-0.5487862229347229,
... |
You are given a statement written in Hindi. 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 .
[EX Q]: Statement: ऐसा कहा गया कि यह ब्रेकअप का कारण अजब प्रेम की गज़ब कहानी की शूटिंग के दौरान रणबीर कपूर और कैटरीना की बढ़ती निकटता थी। हालांकि, इसपर कैटरीना और रणबीर दोनों ने इनकार कर दिया था, पर उनके रिश्ते की प्रकृति बड़े पैमाने पर मीडिया द्वारा छानबीन की गई थी क्योंकि वह दोनों अलग अलग लोगों के प्रेम संबंध में शामिल थे। अगस्त 2013 में, इबीसा में छुट्टियाँ मना रहे रणबीर और कैटरीना की अंतरंग तस्वीरें <MASK> द्वारा लीक किए गए; जिसे मीडिया ने उनके रिश्ते की पुष्टि के रूप में देखा।
Option A: हवाई
Option B: अब्बास-मस्तान
Option C: नीदरलैंड
Option D: स्टारडस्ट
[EX A]: स्टारडस्ट
[EX Q]: Statement: जापानी लोग (जापानी: 日本人 Hepburn: nihonjin (निहोंजिन)?) एक राष्ट्र और एक जातीय समूह है जो <MASK> के मूल निवासी है। [22] [23] [24] [25] वे जापान की कुल जनसंख्या का 98.5% हैं। [26] दुनिया भर में, लगभग 129 मिलियन लोग जापानी मूल के हैं; इनमें से लगभग 125 मिलियन जापान के निवासी हैं। [1] जापान के बाहर रहने वाले जापानी वंश के लोगों को निक्केइजिन कहा जाता है। जातीय जापानी शब्द का उपयोग अक्सर जापानी लोगों, विशेष रूप से यामातो के संदर्भ में किया जाता है। [27] जापानी दुनिया के सबसे बड़े जातीय समूहों में से एक हैं।
Option A: प्रोटेस्टेंट
Option B: ज़िंबाब्वे
Option C: कैथोलिक
Option D: जापान
[EX A]: जापान
[EX Q]: Statement: धरमपुरी मध्य प्रदेश के धार जिले में स्थित पौराणिक नगर है। धरमपुरी प्राचीन भारत का एक सुविख्यात नगर तथा दुर्ग रहा है। यह दक्षिण - पशचिम के भूतपूर्व धार राज्य के अंतर्गत आता था। आजादी के पश्चात् यह धार जिले की मनावर तहसील का टप्पा था। विंध्यांचल पर्वत के अंचल में पुन्य सलिला नर्मदा के तट पर बसी यह नगरी <MASK>आगरा राजमार्ग से खलघाट से पश्चिम दिशा में ११ किलोमीटर दुरी पर स्थित है।
Option A: नर्मदा
Option B: तेनु
Option C: मुंबई-
Option D: निमाड़
[EX A]: | मुंबई-
| 6 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | fs_opt | [
0.7931991815567017,
0.017687460407614708,
0.18450839817523956,
0.5831975936889648,
0.10666682571172714,
-0.7543621063232422,
0.5048288106918335,
0.7788453102111816,
-0.17348317801952362,
-0.25147509574890137,
-0.36298680305480957,
0.6031360030174255,
-0.7125715017318726,
-0.046853087842464... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Example input: Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducibile su scala.
Example output: Why? Because that profit allows whatever solution we've created to be infinitely scalable.
Example explanation: The Italian sentence is correctly translated into English, because the meaning is preserved.
Q: È una storia folle, ma credo che forse sia la migliore ed ultima vendetta di sempre contro la malaria.
A: | It's a crazy story, but I believe it's perhaps the best and ultimate revenge against mosquitos ever. | 3 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.6394649744033813,
0.6645644307136536,
0.44210636615753174,
-0.3107377290725708,
-0.5279947519302368,
-0.9888060688972473,
-0.05383535847067833,
0.6759990453720093,
0.505699634552002,
0.08363077789545059,
-0.2637174129486084,
1.0871670246124268,
-0.753911018371582,
0.11454752087593079,
... |
Given an object and a part, decide whether the object has that part. For example is you are asked 'gun has barrel', you need to decide if a gun has a barrel as one of its components or parts. All sentences strictly follow the template 'object has part?.' The answer should be 1 or 0, 1 means the object has the given part, while 0 means it doesn't have the part.
elephant has bridge? | 0 | 0 | NIv2 | task1584_evalution_meronym_classification | zs_opt | [
-0.30579572916030884,
0.7114510536193848,
-0.019149240106344223,
0.2878657281398773,
0.002765539800748229,
-1.0411988496780396,
1.3400053977966309,
0.39553701877593994,
-0.21617721021175385,
-0.6843212842941284,
-0.6959816217422485,
0.2444635033607483,
-1.16166353225708,
0.3765696883201599... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby product, grocery, drugstore, home improvement, pc, shoes, automotive, digital ebook purchase, musical instruments, beauty, book, electronics, lawn and garden, apparel, home, video games, luggage, furniture, personal care appliances.
I have been using this brand for all of my iPhone cases the last several years and have been very happy but this case for this model is terrible! It started ripping and falling apart within weeks! I bought another one and returned the defective one hoping it was just a fluke but it wasn’t... I tried to use the other case as long as I could but after 2 months it was just embarrassing... there was a hole where the eyelet for the strap is and the leather was ripped in many places along the side. I’m so desperate to love this case again that I’ve actually just bought a 3rd one in a different color with the hopes it holds up! This is the only case I’ve found that has a strap and the magnetic closure I like! Please please please improve your manufacturing quality and produce products like you used to! | wireless | 0 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.3027346432209015,
-0.04345118999481201,
-0.3743852376937866,
0.1842542290687561,
0.3905244469642639,
0.6348707675933838,
-0.04395453631877899,
0.9974510669708252,
-0.8511686325073242,
0.4701065421104431,
-0.11099143326282501,
0.04616051912307739,
-0.07117156684398651,
-0.630919218063354... |
Teacher:Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Teacher: Now, understand the problem? Solve this instance: Category: fried food
Words: fritter, patty, divide, doughnut, dumpling
Student: | divide | 6 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
0.09464628249406815,
0.2082192301750183,
0.074551060795784,
-0.06664727628231049,
-0.19487619400024414,
-0.13458943367004395,
0.6103366613388062,
0.3218226134777069,
0.03952164202928543,
-0.2664235234260559,
-0.29243946075439453,
-0.2393524944782257,
-0.8889224529266357,
0.1360498070716858... |
Teacher: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".
Teacher: Now, understand the problem? Solve this instance: Article: the european union on monday said it was reopening a challenge at the wto against india over import duties imposed by new delhi on alcoholic drinks , lifting an earlier suspension on the complaint . Title: us to return #,### smuggled iraqi artefacts
Student: | no | 6 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.2681306004524231,
0.4910762310028076,
0.5538409948348999,
0.7604018449783325,
-0.30828678607940674,
-0.45095574855804443,
-0.2647712230682373,
0.5137431621551514,
-0.16029581427574158,
0.193712055683136,
0.10197746753692627,
0.07964466512203217,
-0.6349011063575745,
-0.09155012667179108... |
Definition: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct answer is the holding statement that corresponds to the citing text. The four incorrect answers are other holding statements. You should find the correct option. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted.
Input: CURIAM: Michael Disch appeals his convictions for mailing threatening communication, in violation of 18 U.S.C. § 876(c), and making false statements to an FBI agent, in violation of 18 U.S.C. § 1001. Disch argues that the district court judge was required to recuse himself sua sponte under 28 U.S.C. § 455(a) and § 455(b). Ordinarily, we review a judge’s decision not to recuse himself under § 455(a) and § 455(b) for an abuse of discretion. United States v. Bailey, 175 F.3d 966, 968 (11th Cir.1999); see also Parker v. Connors Steel Co., 855 F.2d 1510, 1527-28 (11th Cir.1988) (<HOLDING>). However, when a defendant fails to seek
Holding statements: (A) holding that a confrontation clause violation constituted harmless error (B) holding that a 455b violation is subject to harmless error review (C) holding that violation of rule 16 in that case was not harmless error (D) holding that confrontation clause violations are subject to harmless error review (E) holding that the omission of an element is subject to harmless error analysis
Output: | (B) | 2 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
-0.13978680968284607,
-0.09542228281497955,
0.005713002756237984,
0.3473750650882721,
-0.02294161543250084,
-1.0851202011108398,
-0.006425545085221529,
0.3040013313293457,
-0.200714111328125,
-0.340805321931839,
-0.9890589714050293,
-0.28875210881233215,
-0.6284351348876953,
0.092831045389... |
Definition: In this task, you are given a question. You have to answer the question based on your information.
Input: BriTANicK, is an internet sketch comedy duo from Atlanta, Georgia that consists of Brian McElhaney and Nick Kocher, in 2012, BriTANicK was included in American Joss Whedon's adaptation of which film?
Output: | Much Ado About Nothing | 2 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
-0.1662009358406067,
0.9300240874290466,
0.016122424975037575,
-0.5421544313430786,
0.06062960624694824,
0.34320005774497986,
1.0929687023162842,
-0.36597931385040283,
0.32292571663856506,
-0.02513602003455162,
0.045503366738557816,
0.49894005060195923,
-1.5243496894836426,
-0.055684834718... |
TASK DEFINITION: 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.
PROBLEM: ຢູເອັນ ໄດ້ກ່າວວ່າ ເຂົາເຈົ້າໄດ້ໃຫ້ໄລຍະພິກັດ GPS ຂອງໂຮງຮຽນເຂົາເຈົ້າ ໃຫ້ແກ່ອິດສະລະເອວ ແລະ ຮຽກຮ້ອງຄວາມຮັບຜິດຊອບ ສໍາລັບການໂຈມຕີດັ່ງກ່າວ.
SOLUTION: 国連は、イスラエルに学校のGPS座標を与えたと言って、攻撃の責任を取るよう迫った。
PROBLEM: ກຣີນສ໌ ໄດ້ສະເໜີກ່ອນໜ້າວ່າ ຄວນຝັງໄມໂຄຣຊິບພຽງແຕ່ໝາທີ່ອັນຕະລາຍເທົ່ານັ້ນ.
SOLUTION: 緑の党は今まで、危険な犬だけにマイクロチップを埋め込むことを提案していた。
PROBLEM: ອາກາ ຖືກຕັດສິນໂທດຕິດຄຸກຕະຫຼອດຊີວິດ ໃນປະເທດອິຕາລີ ກ່ອນທີ່ຈະຖືກອະໄພຍະໂທດ ຈາກສົມເດັດພະສັນທະປາປາ ຈອນ ປໍ ທີສອງ ໃນປີ 2000 ແລະ ຖືກຈັດສົ່ງໃນຖານະຜູ້ຮ້າຍຂ້າມແດນໄປປະເທດຕຸລະກີ ເພື່ອຮັບໂທດຈໍາຄຸກ ຍ້ອນກໍລະນີກໍ່ເຫດສັງຫານ ແອັບດີ ອິເປຈີ ນັກຂ່າວຕຸລະກີ.
SOLUTION: | アジャは、前教皇ヨハネ・パウロ二世によって2000年に恩赦を受け、ジャーナリストのアブデ・イペクチの殺害のため刑に服すためトルコに送還されるまで、イタリアにおいて終身刑を言い渡されていた。
| 8 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.5253961086273193,
-0.302101731300354,
-0.21437321603298187,
-0.08189046382904053,
-0.4523687958717346,
-0.5171205401420593,
1.009353518486023,
0.19320641458034515,
-0.6691924333572388,
-0.39910775423049927,
-0.3029167652130127,
1.0810067653656006,
-0.9283366203308105,
0.4233556687831878... |
Part 1. Definition
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Part 2. Example
Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf.
Answer: He is happy now.
Explanation: As mentioned in last sentence, the incident turned a new leaf to Rick's life; this part completes the story properly.
Part 3. Exercise
Sentence1: Jim had a research project due in two days. Sentence2: But the thought of starting it stressed him out. Sentence3: His stress, though, gave him the idea to research stress. Sentence4: He wrote about its causes and effects.
Answer: | And Jim learned how to manage his stress better. | 7 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
-0.1136915385723114,
0.9454659223556519,
-0.03335936367511749,
-0.7729930877685547,
0.013318550772964954,
-0.3278604745864868,
0.5650396347045898,
0.6336808204650879,
0.22008022665977478,
0.06478595733642578,
-0.48371580243110657,
0.017278997227549553,
-0.7790402173995972,
-0.0147330071777... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Example: Lucifer how many episodes are in season 3?
Output: How many episodes of season 3 of Lucifer were there, including bonus episodes?
The generated question clarifies the input question by asking about bonus episodes because if the question is about regular episodes only then the answer will be different than including the bonus episodes.
New input case for you: When did they get rid of figures in figure skating?
Output: | When did ISU vote to get rid of figures in figure skating? | 1 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.4950653910636902,
0.1408204734325409,
-0.16329732537269592,
0.0224116463214159,
0.5652565360069275,
0.26856720447540283,
0.2573373317718506,
0.6538843512535095,
0.12213598936796188,
-0.48403751850128174,
0.05241239815950394,
0.36343279480934143,
-0.40499353408813477,
0.09324780851602554... |
Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Q: 3, ['p', 'w', '1721', '5253', 'b', 'q', 'O', '3311', '9097', '7191', '4709', 'M', '2575', 'a', '8393', 'D', 'S', 'c', 'k']
A: | 5253, b, q, O, 3311, 9097, 7191, 4709, M, 2575, a, 8393, D, S, c, k | 9 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
-0.13954304158687592,
0.5066061019897461,
-0.5874412059783936,
-0.9171368479728699,
-0.6910814046859741,
-0.214887335896492,
0.8197288513183594,
-0.4202597737312317,
-0.07473507523536682,
0.16805092990398407,
-0.6854729056358337,
0.23522520065307617,
0.5852736234664917,
-0.6406542658805847... |
Teacher:In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Teacher: Now, understand the problem? Solve this instance: The ration therefore lasts six days.
Student: | Umxhesho ngokoke uhlala intsuku ezintandathu. | 6 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt | [
0.4368554651737213,
0.772639274597168,
1.0619409084320068,
-0.7372615933418274,
-0.7020721435546875,
-0.617776095867157,
0.2321089655160904,
0.800016462802887,
0.30932849645614624,
-0.8105533123016357,
0.279059499502182,
-0.19021913409233093,
-0.7636088132858276,
-0.09881317615509033,
0.... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
One example: English: Details were given by the UK Transport Secretary, Ruth Kelly, in the House of Commons at 1730 UTC yesterday.
Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Solution is here: Yes
Explanation: The converted Japanese sentence is correctly translated from English because converted sentence has the same message as the original English sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
Now, solve this: English: Senate Democratic majority leader Harry Reid commented on the bill, saying, "At a time when 2 million men and women have fought in Iraq and Afghanistan and when our troops have had to endure multiple deployments ... and an unclear strategy, giving them the opportunity to fuel our future economy is the least we can do."
Japanese: 民主党上院の多数派院内代表のハリー・リードは法案についてこう語った「2百万の男女がイラクとアフガニスタンで戦い、軍が複雑な配置や不明瞭な戦略に耐えているとき、私たちには未来の経済の発展の機会を彼らに与えることしかできない」。
Solution: | Yes | 6 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
0.04711173474788666,
-0.3145247995853424,
0.27908778190612793,
-0.13670065999031067,
0.36847248673439026,
-0.6371551752090454,
0.3379630744457245,
0.29664120078086853,
-0.11351078748703003,
-0.22066527605056763,
-0.01690303161740303,
0.5245075225830078,
-0.1827200949192047,
0.0542569346725... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Example Input: [[34, 33, -43], [47, 23, -48, -29, -23], [-44, -21], [5, -42, 22]]
Example Output: [-48246, -34609296, 924, -4620]
Example Input: [[-26, -1, -3], [29, 25], [-1, -38, -8], [36, -24, -21], [15, 35], [10, 34], [-5, -42], [-17, 36, 0, -29], [38, -48, 46]]
Example Output: [-78, 725, -304, 18144, 525, 340, 210, 0, -83904]
Example Input: [[46, -35, -32, 39, 18], [43, 7], [0, 17]]
Example Output: | [36167040, 301, 0]
| 3 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
-0.047200758010149,
0.11619089543819427,
-0.659700334072113,
-0.3333464562892914,
-0.2427847981452942,
-0.31790491938591003,
0.8573261499404907,
0.5128346681594849,
-0.5052850246429443,
-0.39346617460250854,
-1.072399377822876,
-0.179172083735466,
-0.6765013933181763,
-0.6214306354522705,
... |
Detailed Instructions: In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Problem:Context: Berlin is the capital and the largest city of Germany as well as one of its constituent 16 states. With a population of approximately 3.5 million people, Berlin is the second most populous city proper and the seventh most populous urban area in the European Union. Located in northeastern Germany on the banks of rivers Spree and Havel, it is the centre of the Berlin-Brandenburg Metropolitan Region, which has about 6 million residents from more than 180 nations. Due to its location in the European Plain, Berlin is influenced by a temperate seasonal climate. Around one-third of the city's area is composed of forests, parks, gardens, rivers and lakes., Germany, officially the Federal Republic of Germany, is a federal parliamentary republic in central-western Europe. It includes 16 constituent states, covers an area of , and has a largely temperate seasonal climate. With about 82 million inhabitants, Germany is the most populous member state of the European Union. After the United States, it is the second most popular immigration destination in the world. Germany's capital and largest metropolis is Berlin. Other major cities include Hamburg, Munich, Cologne, Frankfurt, Stuttgart and Düsseldorf., Wilmersdorf, an inner-city locality of Berlin, lies south-west of the central city. Formerly a borough by itself, Wilmersdorf became part of the new borough of Charlottenburg-Wilmersdorf in Berlin's 2001 administrative reform., Stuttgart ( Swabian: "Schduagert"), often nicknamed the ""Schwabenmetropole"" in reference to its location in the center of Swabia and the local dialect spoken by some natives, is the capital and largest city of the German state of Baden-Württemberg. It is located on the Neckar river in a fertile valley locally known as the "Stuttgarter Kessel" an hour from the Swabian Jura and the Black Forest. Stuttgart's name comes from the Old High German word ""Stuogarten"," or "stud farm" a reference to the city's founding in 950 AD as a stud farm. Stuttgarts urban area has a population of 623,738, and a further making it the sixth largest city in Germany, 2.7 million people live in the citys administrative region, and another 5.3 million people in its metropolitan area, making it the fourth largest metropolitan area in Germany., Munich (also in British English ) is the capital and largest city of the German state of Bavaria, on the banks of River Isar north of the Bavarian Alps. Munich is the third largest city in Germany, after Berlin and Hamburg, and the 12th biggest city of the European Union, with a population of above 1.5 million. The Munich Metropolitan Region is home to 5.8 million people., Charlottenburg is an affluent locality of Berlin within the borough of Charlottenburg-Wilmersdorf. Established as a town in 1705 and named after late Sophia Charlotte of Hanover, Queen consort of Prussia, it is best known for Charlottenburg Palace, the largest surviving royal palace in Berlin, and the adjacent museums., An urban area is a human settlement with high population density and infrastructure of built environment. Urban areas are created through urbanization and are categorized by urban morphology as cities, towns, conurbations or suburbs. In urbanism, the term contrasts to rural areas such as villages and hamlets and in urban sociology or urban anthropology it contrasts with natural environment. The creation of early predecessors of urban areas during the urban revolution led to the creation of human civilization with modern urban planning, which along with other human activities such as exploitation of natural resources leads to human impact on the environment., Frankfurt am Main is a metropolis and the largest city in the German state of Hesse and the fifth-largest city in Germany, with a 2015 population of 731,095 within its administrative boundaries, and 2.3 million in its urban area. The city is at the centre of the larger Frankfurt Rhine-Main Metropolitan Region, which has a population of 5.8 million and is Germany's second-largest metropolitan region after Rhine-Ruhr. Since the enlargement of the European Union in 2013, the geographic centre of the EU is about to the east of Frankfurt's CBD, the Bankenviertel. Frankfurt is culturally and ethnically diverse, with around half of the population, and a majority of young people, having a migration background. A quarter of the population are foreign nationals, including many expatriates., Charlottenburg-Wilmersdorf is the fourth borough of Berlin, formed in an administrative reform with effect from 1 January 2001, by merging the former boroughs of Charlottenburg and Wilmersdorf., Hamburg (local pronunciation ; Low German/Low Saxon: "Hamborg" ), officially "Freie und Hansestadt Hamburg" (Free and Hanseatic City of Hamburg), is the second largest city in Germany and the eighth largest city in the European Union. It is the second smallest German state by area. Its population is over 1.7 million people, and the wider Hamburg Metropolitan Region covers more than 5.1 million inhabitants. The city is situated on the river Elbe., Brandenburg (Lower Sorbian: "Bramborska") is one of the sixteen federated states of Germany. It lies in the northeast of the country covering an area of 29,478 square kilometers and has 2.48 million inhabitants. The capital and largest city is Potsdam. Brandenburg surrounds but does not include the national capital and city-state Berlin forming a metropolitan area., The European Union (EU) is a political and economic union of member states that are located primarily in Europe. It has an area of , and an estimated population of over 510 million. The EU has developed an internal single market through a standardised system of laws that apply in all member states. EU policies aim to ensure the free movement of people, goods, services, and capital within the internal market, enact legislation in justice and home affairs, and maintain common policies on trade, agriculture, fisheries, and regional development. Within the Schengen Area, passport controls have been abolished. A monetary union was established in 1999 and came into full force in 2002, and is composed of 19 EU member states which use the euro currency., Sophia Charlotte of Hanover (30 October 1668 1 February 1705) was the first Queen consort in Prussia as wife of King Frederick I. She was the only daughter of Elector Ernest Augustus of Brunswick-Lüneburg and his wife Sophia of the Palatinate. Her eldest brother George Louis succeeded to the British throne in 1714 as King George I., The euro (sign: €; code: EUR) is the official currency of the eurozone, which consists of 19 of the member states of the European Union: Austria, Belgium, Cyprus, Estonia, Finland, France, Germany, Greece, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, the Netherlands, Portugal, Slovakia, Slovenia, and Spain. The currency is also officially used by the institutions of the European Union and four other European countries, as well as unilaterally by two others, and is consequently used daily by some 337 million Europeans . Outside of Europe, a number of overseas territories of EU members also use the euro as their currency., The Spree is a river that flows through the Saxony, Brandenburg and Berlin states of Germany, and in the Ústí nad Labem region of the Czech Republic. Approximately in length, it is a left bank tributary of the River Havel, which itself flows into the Elbe and then the North Sea. It is the river on which the original centre of Berlin was built., A palace is a grand residence, especially a royal residence, or the home of a head of state or some other high-ranking dignitary, such as a bishop or archbishop., Charlottenburg Palace ( German : Schloss Charlottenburg ) is the largest palace in Berlin , Germany . It is located in the Charlottenburg district of the Charlottenburg - Wilmersdorf borough . The palace was built at the end of the 17th century and was greatly expanded during the 18th century . It includes much exotic internal decoration in baroque and rococo styles . A large formal garden surrounded by woodland was added behind the palace , including a belvedere , a mausoleum , a theatre and a pavilion . During the Second World War , the palace was badly damaged but has since been reconstructed . The palace with its gardens are a major tourist attraction ., Düsseldorf (Low Franconian, Ripuarian: "Düsseldörp" ) is the capital city of the German state of North Rhine-Westphalia and the seventh most populous city in Germany. Düsseldorf is an international business and financial centre, renowned for its fashion and trade fairs. The city is headquarters to one Fortune Global 500 and two DAX companies. Messe Düsseldorf organises nearly one fifth of premier trade shows., A republic (from ) is a sovereign state, country, or government which is organized with a form of government in which power resides in elected individuals representing the citizen body and government leaders exercise power according to the rule of law. In modern times, the definition of a republic commonly refers to a government which excludes a monarch. Currently, 147 of the world's 206 sovereign states use the word "republic" as part of their official names; not all of these are republics in the sense of having elected governments, nor do all nations with elected governments use the word "republic" in their names., The European Plain or Great European Plain is a plain in Europe and is a major feature of one of four major topographical units of Europe - the "Central and Interior Lowlands". It is the largest mountain-free landform in Europe, although a number of highlands are identified within it., Cologne is the largest city in the German federal State of North Rhine-Westphalia and the fourth-largest city in Germany (after Berlin, Hamburg, and Munich). It is located within the Rhine-Ruhr metropolitan region, one of the major European metropolitan regions and the largest in Germany, with more than ten million inhabitants., The Havel is a river in north-eastern Germany, flowing through the German states of Mecklenburg-Vorpommern, Brandenburg, Berlin and Saxony-Anhalt. It is a right tributary of the Elbe river and long. However, the direct distance from its source to its mouth is only ., Europe is a continent that comprises the westernmost part of Eurasia. Europe is bordered by the Arctic Ocean to the north, the Atlantic Ocean to the west, and the Mediterranean Sea to the south. To the east and southeast, Europe is generally considered as separated from Asia by the watershed divides of the Ural and Caucasus Mountains, the Ural River, the Caspian and Black Seas, and the waterways of the Turkish Straits. Yet the non-oceanic borders of Europea concept dating back to classical antiquityare arbitrary. The primarily physiographic term "continent" as applied to Europe also incorporates cultural and political elements whose discontinuities are not always reflected by the continent's current overland boundaries., Subject: charlottenburg palace, Relation: named_after, Options: (A) 1 (B) 2001 (C) 5 (D) alps (E) asia (F) atlantic ocean (G) augustus (H) austria (I) baden (J) belgium (K) berlin (L) capital (M) caucasus (N) central (O) centre (P) city (Q) cologne (R) east (S) english (T) estonia (U) euro (V) europe (W) france (X) frankfurt (Y) germany (Z) hamburg ([) havel (\) human (]) king (^) landform (_) latvia (`) low (a) mediterranean sea (b) mountain (c) munich (d) neckar (e) netherlands (f) north (g) northeast (h) palace (i) portugal (j) prussia (k) rhine (l) ruhr (m) sense (n) sophia charlotte of hanover (o) south (p) stuttgart (q) town (r) ural (s) urban area (t) westphalia
Solution: | sophia charlotte of hanover | 8 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
-0.01318907830864191,
0.9288432002067566,
-0.1521664559841156,
0.034779228270053864,
0.2432316690683365,
0.06485451012849808,
0.9677006006240845,
1.120161533355713,
0.26300203800201416,
0.1738135814666748,
0.6369943618774414,
1.0443553924560547,
-1.3556617498397827,
0.28434425592422485,
... |
Teacher:In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
Teacher: Now, understand the problem? Solve this instance: 3, ['3971', 'p', '2941', '2557', 'Y', 'I', '1285', 'L', 'R', '2369', 'b']
Student: | 3971, 2557, 1285, 2369 | 6 | NIv2 | task1542_every_ith_element_from_starting | zs_opt | [
0.025440622121095657,
-0.18247994780540466,
-0.10981467366218567,
-0.6609014868736267,
-0.4134610891342163,
0.005731320008635521,
0.361676424741745,
-0.3959212005138397,
0.07792560756206512,
-0.8027746677398682,
-0.9005233645439148,
-0.1947411298751831,
-0.22595739364624023,
-0.45807778835... |
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second entity) is in a part-of relationship with its holonym (i.e., first entity).
Entity 1: panther
Entity 2: oxygen
no
Entity 1: earwig
Entity 2: egg
no
Entity 1: titi monkey
Entity 2: forehead
| yes
| 0 | NIv2 | task472_haspart_classification | fs_opt | [
-0.6747545003890991,
0.2036346197128296,
0.8074172735214233,
-0.027112510055303574,
-0.3868864178657532,
-0.8534277677536011,
0.09380568563938141,
0.30521631240844727,
0.6999994516372681,
-0.5809313058853149,
-0.4752936363220215,
-0.6606159210205078,
-0.5744810104370117,
0.2185101211071014... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question to be answered. Each step in our decomposition should refer to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.)
Here are the list of step templates and their description:
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
Example: question: What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'?
Example solution: #1 return secretaries
#2 return #1 born in state 'Alabama
#3 return departments managed by #2
#4 return distinct creation years of #3
Example explanation: Referring to previous steps is vital in constructing multi-step decompositions. In this example each step refers to the step before to perform a single filter on it to reach the final result.
Problem: question: Do all the objects have round sides?
| Solution: #1 return objects
#2 return #1 with round sides
#3 return number of #1
#4 return number of #2
#5 return if #3 is equal to #4 | 5 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.9581338763237,
-0.19302457571029663,
-0.629348874092102,
0.8286548852920532,
0.19452190399169922,
-0.30589568614959717,
1.138983130455017,
0.08944277465343475,
-0.5697869062423706,
0.3712286055088043,
-0.6141953468322754,
0.1383378803730011,
0.07078980654478073,
0.5976487398147583,
0.4... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Example: Amsterdam_Airport_Schiphol | runwayName | "09/27 'Buitenveldertbaan'"
Example solution: Amsterdam Airport Schipol runway name is 09/27 Buitenvelderbaan.
Example explanation: The simplest form of input is a single triple. Here the text describes the relationship in natural language.
Problem: Dane_Whitman_Black_Knight_(comicsCharacter) | creator | John_Buscema
John_Buscema | nationality | Americans
| Solution: Dane Whitman, alter ego Black Knight, was created by the American, John Buscema. | 5 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-0.0815020501613617,
0.5351489782333374,
-0.10315915942192078,
-1.1785774230957031,
-0.38269245624542236,
0.13719062507152557,
0.9084466695785522,
0.15340575575828552,
0.2552383542060852,
0.5039575099945068,
-0.5438084602355957,
1.1231517791748047,
-0.6087573170661926,
-0.3313518762588501,... |
Definition: In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Input: ['q', '289', '135', '135', '177', 'x', '117', '251', '89', 'w']
Output: | 1, 2, 3, 5, 7, 8, 9 | 2 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | zs_opt | [
-0.4406224191188812,
0.1413598358631134,
-0.41716182231903076,
-0.9052761793136597,
-0.03489032760262489,
0.5863360166549683,
0.6870156526565552,
-0.47092828154563904,
-0.2718871235847473,
0.43748289346694946,
-0.5716604590415955,
-0.16196289658546448,
-0.3918657898902893,
-0.1256303340196... |
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: বুন্দেলখন্ডের গ্রামীণ এলাকার জন্য প্রধানমন্ত্রী পাইপ লাইন বাহিত জল সরবরাহ প্রকল্পেরও শিলান্যাস করেন।
A: புந்தேல்கண்ட் பிராந்தியத்தின் ஊரகப் பகுதிகளுக்கு, குழாய் மூலம் குடிநீர் விநியோகம் செய்யும் திட்டத்திற்கு பிரதமர் அடிக்கல் நாட்டினார்.
****
Q: কিন্তু ২০১৪ সালের পর এই প্রকল্প রূপায়ণের কাজে গতি আসে এবং আজ এই প্রকল্পের কাজ সম্পূর্ণ হল।
A: 1987-ல் ஆரம்பிக்கப்பட்ட தோளைதாபி குறுக்கு அணைத் திட்டம், 2014 ஆம் ஆண்டிற்கு பிறகுதான் விரைவுபடுத்தப்படுத்தப்பட்டு இன்று முடிவடைந்துள்ளது.
****
Q: নেতাজী সুভাষ চন্দ্র বসুর কথা স্মরণ করে প্রধানমন্ত্রী বলেন, নেতাজীর আহ্বানে সাড়া দিয়ে আন্দামানের বহু যুবক ভারতের স্বাধীনতা সংগ্রামে নিজেদেরকে উৎসর্গ করেছিলেন।
A: | நேதாஜி சுபாஷ் சந்திர போஸினை நினைவு கூர்ந்த பிரதமர், நேதாஜியின் அழைப்பை ஏற்று பல இளைஞர்கள் தங்களின் வாழ்க்கையை நமது இந்திய நாட்டின் சுதந்திரத்திற்காக அர்ப்பணித்தனர் என்பதை சுட்டிக்காட்டினார்.
****
| 4 | NIv2 | task981_pib_translation_bengali_tamil | fs_opt | [
-0.44382244348526,
0.8772317171096802,
0.04863537475466728,
-0.12660612165927887,
-0.19151227176189423,
-0.44849950075149536,
1.223471760749817,
0.22215092182159424,
-0.4463879466056824,
-0.20713824033737183,
-0.610670268535614,
0.33477580547332764,
-0.10883255302906036,
-0.147943168878555... |
Detailed Instructions: In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' value then sort them by their 'second' key. Negative numbers should come before positive numbers.
Q: [{'first': 39, 'second': 99}, {'first': -56, 'second': 2}, {'first': -26, 'second': 49}, {'first': -45, 'second': 72}, {'first': 76, 'second': 23}, {'first': -32, 'second': 79}, {'first': 55, 'second': -11}, {'first': -42, 'second': 13}, {'first': -47, 'second': 13}, {'first': -90, 'second': 84}]
A: | [{'first': -90, 'second': 84}, {'first': -56, 'second': 2}, {'first': -47, 'second': 13}, {'first': -45, 'second': 72}, {'first': -42, 'second': 13}, {'first': -32, 'second': 79}, {'first': -26, 'second': 49}, {'first': 39, 'second': 99}, {'first': 55, 'second': -11}, {'first': 76, 'second': 23}] | 9 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
-0.018301760777831078,
-0.2736317217350006,
-0.038950078189373016,
-0.32333341240882874,
0.5063451528549194,
-0.4074706435203552,
0.35077032446861267,
1.0690257549285889,
-0.1566886305809021,
-0.1387600302696228,
-0.30150890350341797,
-0.2387603521347046,
-0.4716247320175171,
0.05907848104... |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common', 'cvg', 'opera', 'olympics', 'chemistry', 'visual_art', 'conferences', 'sports', 'language', 'travel', 'location', 'award', 'dining', 'martial_arts', 'comic_strips', 'computer', 'user', 'tennis', 'music', 'organization', 'food', 'event', 'transportation', 'fictional_universe', 'measurement_unit', 'meteorology', 'distilled_spirits', 'symbols', 'architecture', 'freebase', 'internet', 'fashion', 'boats', 'cricket', 'film', 'medicine', 'finance', 'comic_books', 'celebrities', 'soccer', 'games', 'time', 'geography', 'interests', 'common', 'base', 'business', 'periodicals', 'royalty', 'education', 'type', 'religion', 'automotive', 'exhibitions'.
Which comedian starred in the ABC sitcom Chicken Soup?
tv
On which island are the 'Standing Stones of Callanish'?
location
Whose resignation prompted the Eastleigh by-election in February 2013?
| government
| 0 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
-0.01092573069036007,
0.06112333759665489,
0.02277970500290394,
-0.510856032371521,
0.5924237966537476,
-0.5510650873184204,
-0.1991649866104126,
0.3255736231803894,
-0.29045239090919495,
-0.27638792991638184,
0.5662126541137695,
-0.008233802393078804,
-0.3116368055343628,
-0.2070925831794... |
In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
Example input: He grew up in Evanston, Illinois the second oldest of five children including his brothers, Fred and Gordon and sisters, Marge (Peppy) and Marilyn. His high school days were spent at New Trier High School in Winnetka, Illinois. MacKenzie studied with Bernard Leach from 1949 to 1952. _His_ simple, wheel-thrown functional pottery is heavily influenced by the oriental aesthetic of Shoji Hamada and Kanjiro Kawai. <sep>, Pronoun: His
Example output: Bernard Leach
Example explanation: Based on the text, his refers to MacKenzie and Bernard Leach is a good incorrect answer.
Q: Like all transitions, his did not go as planned, sending him, Charon, and the rest of earth's population into Negation space. The process drove everyone, especially Charon, mad. Appolyon, ironically, was driven sane, and opposed Charon's plans of conquest. After Charon created _his_ Lawbringers, Appolyon tried to hide from Charon . <sep>, Pronoun: his
A: | Appolyon | 3 | NIv2 | task331_gap_incorrect_answer_generation | fs_opt | [
-0.29082179069519043,
0.763238787651062,
0.3297652006149292,
0.12742400169372559,
-0.07481293380260468,
-0.3286372721195221,
0.7253623604774475,
0.4854258596897125,
0.4289199709892273,
-0.5276010632514954,
-0.9971473813056946,
0.7787466049194336,
-0.8297164440155029,
-0.2456066608428955,
... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
این نتیجه کامپیوتری کردن اطلاعات جغرافیایی است تشخیص حرکت, و یادگیری ماشین
A: | Questo è il risultato della geometria computazionale, della gesture recognition (riconoscimento dei gesti) e dell'apprendimento delle macchine. | 7 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-1.2453129291534424,
0.4545159935951233,
0.035406943410634995,
-0.10837508738040924,
-1.2555732727050781,
0.23331624269485474,
0.17875809967517853,
0.46862736344337463,
0.936426043510437,
-0.7539835572242737,
-0.9844836592674255,
0.19890427589416504,
0.5010721683502197,
0.644649088382721,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Input: Consider Input: Pero también, hemos empezado a debatir sobre que el rol del sector privado debería dejar de ser solo obtener ganancia e involucrarse más en contribuir a programas sociales.
Output: Mas também começámos a ter debates sobre como é que o papel do setor privado devia afastar-se de ser apenas um motivo de lucro e estar mais comprometido na concretização de programas sociais.
Input: Consider Input: ¿Un accidente?
Output: Um acidente?
Input: Consider Input: La buena noticia es que, como consecuencia, ese escenario no se da; no es correcto.
| Output: A boa notícia é que assim sendo este cenário não funciona; não está certo.
| 2 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
-0.8299151659011841,
0.8022313117980957,
-0.06521884351968765,
-0.5203309655189514,
-0.1721886247396469,
0.0252237468957901,
-0.7671511173248291,
1.7897136211395264,
0.4038495421409607,
0.48878228664398193,
-0.2644560635089874,
0.4201296269893646,
-0.4364013671875,
-0.8602391481399536,
0... |
You will be given a definition of a task first, then some input of the task.
This task is about translating a given Spanish language sentence to English.
Mi micro cuento se convirtió en algo macro cuando fui procesada.
Output: | My micro story became a macro issue when I was prosecuted. | 1 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.36340364813804626,
0.42604970932006836,
-0.08662109822034836,
0.46995246410369873,
0.05102543532848358,
-0.18686582148075104,
0.0626048594713211,
0.976858377456665,
0.3782065510749817,
-0.11760903894901276,
0.2002861499786377,
-0.09626413881778717,
-0.16951631009578705,
0.00655205361545... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Your sentence should be grammatically and syntactically correct. Also stick to the context of the given story. For example, if the story talks about "doctors", you can talk about "health" or "diagnosis", but don't mention "aliens". Avoid introducing any extra/irrelevant information, and use names instead of pronouns (e.g. he / she) wherever possible. Avoid simply negating the original middle, for example: "She likes cakes." is changed to "She doesn't like cakes."
Let me give you an example: Beginning: Lauren finished her late night shift at the bar feeling tired. Middle: Lauren took a long hot bath when she got home. Ending: Lauren's husband was glad to see her feeling refreshed.
The answer to this example can be: Lauren's husband took a long hot bath when he got home.
Here is why: If a person takes a bath, another person's tiredness is not reduced.
OK. solve this:
Beginning: Amanda wanted to become a actress. Middle: Amanda auditioned for a part and was chosen. Ending: Amanda was excited to have her acting career on the way.
Answer: | Amanda auditioned for a part and sadly was not chosen. | 8 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.19888107478618622,
0.37055253982543945,
-0.441139280796051,
0.10242649912834167,
0.05767335742712021,
-0.060015857219696045,
0.4968603253364563,
0.5335263013839722,
-0.5760520100593567,
-0.29803428053855896,
-0.3538254499435425,
0.05684980750083923,
-0.767158031463623,
-0.665986716747283... |
Definition: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found directly from the passage.
Input: Passage: My friend and I both had a Friday off of work a few weeks ago so we decided to spend the day at a local state park and take a picnic lunch along . We are both picky about what we wanted to eat so we each prepared our own foods . I went to a gas station that also makes custom sandwiches and ordered a sandwich that I knew would n't get soggy and would be OK to sit in a cooler for awhile ; I got turkey and cheese with tomato , lettuce and onion , I grabbed a few mayonnaise packets to take along and put on when I was ready to eat it . I picked up a large bottle of water since we were planning on kayaking and I wanted to stay hydrated and I also bought a can of Coke to drink with lunch . I remembered I had some fruit salad in the fridge so I portioned some out into a plastic container and added that to the cooler as well . As I was leaving I remembered to grab a roll of paper towels and some plastic forks . Question: What did they put in the cooler with the sandwich and drinks? Option1: a plastic container of fruit salad Option2: lettuce and chees
Output: | a plastic container of fruit salad | 2 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.5631241202354431,
0.24756324291229248,
-0.22632429003715515,
0.12306341528892517,
-0.07188208401203156,
-0.4823697805404663,
0.29086190462112427,
0.6731405258178711,
-0.17190703749656677,
0.40740329027175903,
0.2347821593284607,
-0.35422930121421814,
-0.704351007938385,
-0.02875008061528... |
You will be given a passage with an enumerated set of facts, a question of form 'Where is <person_name>?', and its answer. The task is to identify a supporting fact that is necessary to answer the question. The output would be the corresponding fact number.
Passage: Fact 1- Daniel went to the kitchen. Fact 2- Sandra went to the kitchen. Fact 3- John moved to the bedroom. Fact 4- Mary went to the hallway. Fact 5- Mary travelled to the kitchen. Fact 6- Sandra journeyed to the hallway. Fact 7- Sandra travelled to the bedroom. Fact 8- Daniel journeyed to the garden. Question: Where is Mary? Answer: kitchen
Fact 5
Passage: Fact 1- Mary moved to the garden. Fact 2- John went to the bedroom. Fact 3- Daniel journeyed to the kitchen. Fact 4- Sandra went to the bathroom. Fact 5- Daniel journeyed to the bathroom. Fact 6- Daniel moved to the garden. Question: Where is Sandra? Answer: bathroom
Fact 4
Passage: Fact 1- Daniel went to the office. Fact 2- Mary went back to the office. Question: Where is Mary? Answer: office
| Fact 2
| 0 | NIv2 | task084_babi_t1_single_supporting_fact_identify_relevant_fact | fs_opt | [
0.3352240025997162,
0.47323107719421387,
-1.016929030418396,
-0.7078027129173279,
-0.8317503929138184,
-0.3630964159965515,
0.29481080174446106,
0.5499867796897888,
0.154049813747406,
0.3441408574581146,
-0.5246433615684509,
0.0907280370593071,
-0.6922983527183533,
0.08753553032875061,
-... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. 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 beginning, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Input: Consider Input: Middle: Uncle Bill's business prospered. Ending: He was able to make a good living from this strange idea.
Output: Uncle Bill opened a shop specializing in rare bottles.
Input: Consider Input: Middle: Jim bought his ticket in advance. Ending: Jim was happy that he easily got to the front of the line.
Output: Jim went to the movies.
Input: Consider Input: Middle: Jimmy did get his bill while on vacation and he phone got turned off. Ending: Jimmy called his phone company and paid his bill through phone.
| Output: Jimmy had been on vacation the past 2 weeks.
| 2 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
-0.2409438043832779,
0.839006245136261,
0.16208896040916443,
-0.5405304431915283,
-0.17416751384735107,
0.3259339928627014,
0.24660852551460266,
0.3514750599861145,
-0.02886342629790306,
0.050982050597667694,
-0.6696981191635132,
0.36253511905670166,
-0.24591118097305298,
-0.50534486770629... |
Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
English sentence: While in Berlin he attended Schur 's lectures and had his first mathematical success in research discovering an interesting result on matrices. | Habang sa Berlin siya pumasok sa Schur 's lektura at nagkaroon na ng kanyang unang tagumpay sa matematika pananaliksik discovering ng isang nakawiwiling resulta sa matrices. | 0 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
0.06975170224905014,
0.7029628157615662,
-0.08153867721557617,
-0.6904729604721069,
0.3717568516731262,
0.5381506681442261,
1.1605415344238281,
0.08278051018714905,
0.47934019565582275,
0.3544996380805969,
0.07100681215524673,
0.07585908472537994,
-0.7865377068519592,
0.121768519282341,
... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
The death penalty is constitutionally banned in Michigan, only 13 executions were ever conducted in the state, and only 1 since it had reached statehood.
This is interesting! What can you tell me about their government
Wow, I didn't know that! What can you tell me about its sister region?
You are welcome!
Hi, what can you tell me about Michigan?
The death penalty is constitutionally banned in Michigan, only 13 executions were ever conducted in the state, and only 1 since it had reached statehood.
No problem.
Interesting, anything more you can add?
Wow, anything else you can tell me?
Hello, what can you tell me about Florida and the education?
Florida's primary and secondary school systems are administered by Florida Department of Education.
Florida's primary and secondary school systems are administered by Florida Department of Education.
Hi. Alberta is a province in Canada. It lies in the western part of Canada.
tell me something more about it...
Great information, thanks so much...
You're welcome!
Hi, I want to know about Alberta...
| Hi. Alberta is a province in Canada. It lies in the western part of Canada.
| 0 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.03447723388671875,
-0.3111639618873596,
0.3001464307308197,
-0.7589677572250366,
-0.17587047815322876,
-0.6332834959030151,
0.2132730484008789,
0.8666912317276001,
-0.28105366230010986,
0.20430217683315277,
-0.19943125545978546,
-1.0195056200027466,
-0.041354671120643616,
0.0199921876192... |
Detailed Instructions: Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Problem:Don't waste your money on this piece of crap headset!! I had to return it two days later. The volume is really low and you can hardly hear what people are saying through the mic. This was also a defective set that I received. Amazon let me keep the one I had. Be warned before buying this!
Solution: | Bad review | 8 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.24103833734989166,
-0.17422141134738922,
0.10537403076887131,
0.028301160782575607,
0.23206230998039246,
-0.9542627930641174,
0.7457996010780334,
0.8576798439025879,
-0.04118170216679573,
0.4694564938545227,
-0.5133559703826904,
-0.15007613599300385,
-0.314979612827301,
-0.4456019699573... |
Detailed Instructions: In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Q: there's an i'd preeti rathore tell me if i am blocked or she have deactivated the acc it could be a certain someone's channel acc cough cough what
A: | angry | 9 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
0.043035298585891724,
0.08678868412971497,
0.21738743782043457,
-0.5296580791473389,
-0.05322901904582977,
-0.7608999013900757,
0.395068883895874,
-0.32654815912246704,
0.6916387677192688,
0.004110425245016813,
-0.1534973680973053,
-0.9682760238647461,
-0.6926587224006653,
0.23113188147544... |
Q: 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.
turn opposite left twice after run around right
A: | I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT | 7 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
0.12330586463212967,
0.9016097187995911,
-0.2804184556007385,
0.15348878502845764,
0.0020211723167449236,
0.030600469559431076,
-0.017282450571656227,
0.12123996764421463,
-0.053709618747234344,
-0.2644355595111847,
-0.7725872993469238,
-0.2431049942970276,
-0.8210756778717041,
-0.16114456... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Q: و چون به آن دو، [فرزندى] شایسته داد، در آنچه [خدا] به ایشان داده بود، براى او شریکانى قرار دادند، و خدا از آنچه [با او] شریک مىگردانند برتر است.
A: | But when they were given a healthy son, they started ascribing to other powers a share in what God had bestowed on them. But God is above what they ascribe to Him. | 4 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.4694976508617401,
0.9202722311019897,
-0.09240540862083435,
-0.40174585580825806,
-0.5183849334716797,
0.5759525895118713,
0.7394267320632935,
0.5681095123291016,
0.663756251335144,
-0.28822970390319824,
-1.0628845691680908,
0.7479636669158936,
-0.7060366868972778,
0.6387502551078796,
... |
You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Example input: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.
Polarity: Positive
Example output: True
Example explanation: It's a positive review because the owner of the dog is satisfied with the product and mentioned that their dog appreciates the product. Also, the polarity is positive. So, the correct answer is True.
Q: I'm not a gourmet coffee critic, but this stuff is disappointing. Based upon previous good reviews, I suspect that the coffee in the K-cups I received is not the same -- they may have changed the manufacturing. The Wolfgang Puck Decaf I received is lifeless, watery, and tasteless. There's no aroma when it's brewing in the Keurig. Never again.
Polarity: Negative
A: | True | 3 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
-0.6687952280044556,
-0.6112152338027954,
0.07703260332345963,
0.14578497409820557,
-0.4348163306713104,
-0.1471419334411621,
1.0814669132232666,
-0.0899023562669754,
0.23391173779964447,
-0.1709863692522049,
-0.05168178305029869,
0.15789125859737396,
-0.6251283884048462,
-0.09613259136676... |
A text is given in Panjabi. Translate it from the Panjabi language to the Telugu language. The translation must not omit or add information to the original sentence.
One example: 118 ਏਕੜ ਰੱਖਿਆ ਭੂਮੀ ਟ੍ਰਾਂਸਫਰ ਕਰਨ ਦੀ ਮਨਜ਼ੂਰੀ ਦੇ ਦਿੱਤੀ ਜਿਸ ਨੂੰ 30 ਸਾਲ ਦੀ ਅਵਧੀ ਤੋਂ ਬਾਅਦ ਫਿਰ ਨਵਿਆਇਆ ਜਾ ਸਕਦਾ ਹੈ। ****
Solution is here: 118 ఎకరాల రక్షణ 30 సంవత్సరాల వ్యవధి తరువాత పునరుద్ధరించబడే భూమి బదిలీని బదిలీ చేయడానికి అనుమతించబడింది.****
Explanation: Correct translation for given sentence. Input sentence means '118 acres of protection allowed to transfer land transferrs that can be renewed after a period of 30 years.****' which is the same as the output sentence.
Now, solve this: o ਕੁਦਰਤੀ ਗੈਸ ਦੀ ਕਮੀ ਦੇ ਕਾਰਨ ਗੈਸ ਪਲਾਂਟ ਦੀ ਸਮਰੱਥਾ ਦੀ ਘੱਟ ਵਰਤੋਂ ਦੀ ਸਮੱਸਿਆ ਦੂਰ ਕਰਨਾ ।
Solution: | సహజ వాయువు కొరత వల్ల గ్యాస్ ప్లాంట్లు పూర్తి సామర్ధ్యంతో పనిచేయకపోవడంపై దృష్టి | 6 | NIv2 | task1065_pib_translation_punjabi_telugu | fs_opt | [
-0.27089768648147583,
1.0745694637298584,
-0.15043509006500244,
-0.16030696034431458,
-0.06275160610675812,
-1.8695223331451416,
0.6475098133087158,
0.4644460082054138,
0.1618308573961258,
0.22778931260108948,
-1.008440375328064,
0.07172738015651703,
-0.7533437013626099,
-0.070400454103946... |
instruction:
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
question:
Jessica hated her new job and wanted to go back to school, because the _ was harder. (A) job (B) school
answer:
A
question:
Brett gave Christopher money to buy some new jeans; then _ asked for more money for a matching shirt. (A) Brett (B) Christopher
answer:
B
question:
Natalie disapproved of the behavior shown by Christine, although _ acted much worse in reality. (A) Natalie (B) Christine
answer:
| A
| 9 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
-0.021562516689300537,
0.16466385126113892,
-0.1348314881324768,
-0.1551658809185028,
0.2626226842403412,
-0.5644351840019226,
0.3219900131225586,
0.6364939212799072,
0.5394102334976196,
0.0675702840089798,
0.2640366554260254,
0.006799215450882912,
0.8499716520309448,
-0.40071767568588257,... |
You will be given a definition of a task first, then some input of the task.
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Your sentence should be grammatically and syntactically correct. Also stick to the context of the given story. For example, if the story talks about "doctors", you can talk about "health" or "diagnosis", but don't mention "aliens". Avoid introducing any extra/irrelevant information, and use names instead of pronouns (e.g. he / she) wherever possible. Avoid simply negating the original middle, for example: "She likes cakes." is changed to "She doesn't like cakes."
Beginning: Yesterday Lisa was asked out by a gorgeous young man. Middle: Lisa agreed and they went on a date. Ending: To her surprise, the two had a lot of fun.
Output: | Lisa declined and they never went on a date. | 1 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.46208852529525757,
0.4210691452026367,
0.033377766609191895,
-0.10954871773719788,
-0.2141021192073822,
-0.058461472392082214,
0.23196429014205933,
0.34254932403564453,
-0.13933628797531128,
-0.46555203199386597,
-0.5553026795387268,
0.5729273557662964,
-0.11470159888267517,
-0.269735991... |
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 concatenate all elements of A from the ith element to the jth element, and print the resultant 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.
1, 2, ['5535', 'o'] | 5535o | 0 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.593367338180542,
0.5410037040710449,
-0.5283371210098267,
-0.36710023880004883,
0.1518818438053131,
0.06054774671792984,
0.10940276831388474,
-0.003089067991822958,
-0.02440875768661499,
0.05465606227517128,
-1.225174903869629,
-0.12034060060977936,
0.20860172808170319,
-0.5775212645530... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explicit content. Warning: the examples and instances may contain offensive language.
[EX Q]: Why are Sex Ed and Drivers ed on different days in the Middle East? They don’t want to tire out the camel
[EX A]: Yes
[EX Q]: What’s the difference between a five year old girl and a condom One doesn’t cry when you put your dick in it and nut
[EX A]: Yes
[EX Q]: What's difference between toddler scrotum and Somalia? I don't know, never been in Somalia.
[EX A]: | Yes
| 6 | NIv2 | task608_sbic_sexual_offense_binary_classification | fs_opt | [
-0.9465709328651428,
-0.027959804981946945,
0.4439544677734375,
0.04515460133552551,
-0.1633186638355255,
-0.15531238913536072,
0.35871797800064087,
1.0686348676681519,
0.3667396605014801,
0.4943698048591614,
0.17217950522899628,
0.05901389941573143,
-0.696387767791748,
-0.8026094436645508... |
Instructions: In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Input: Deepwater Port Modernization Act - Amends the Deepwater Port Act of 1974 to revise the term "deepwater port" to include a fixed or floating manmade structure (other than a vessel) located beyond the territorial sea and off the U.S. coast which is used as a port or terminal for the transportation of oil from the U.S. Outer Continental Shelf.
Eliminates: (1) certain utilization and transfer restrictions on deepwater ports; and (2) a certain antitrust precondition with respect to the licensing of such ports.
Authorizes the Secretary of Transportation to exempt an applicant for a deepwater port license from certain informational filing requirements, provided such exemption will not limit public review of the deepwater port project.
Repeals the restriction on the issuance of a deepwater port license requiring that the Secretary first receive opinions from the Attorney General and the Federal Trade Commission as to whether such action would adversely affect competition, restrain trade, promote monopolization, or otherwise contravene the antitrust laws.
Requires a deepwater port, among other things, to accept, transport, or convey without discrimination all oil delivered to it.
Directs the Secretary to prescribe and enforce procedures with respect to the environment and navigational safety as they relate to deepwater ports either by regulation (for basic standards and conditions), or by the licensee's operations manual.
Output: | Deepwater Port Modernization Act | 3 | NIv2 | task1659_title_generation | zs_opt | [
-0.0773615688085556,
-0.44808101654052734,
-0.3572377860546112,
0.06966689229011536,
0.22822409868240356,
-0.3687959909439087,
0.579472005367279,
0.4796157479286194,
-0.44425469636917114,
0.6587785482406616,
0.05024975165724754,
-0.05439738556742668,
0.16596007347106934,
-0.382256299257278... |
Teacher: In this task, you need to count the number of nouns/verbs in the given sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: 'A small toy kept on tray held by a man'. Count the number of nouns in this sentence.
Solution: 3
Reason: The words 'toy', 'tray', and 'man' are nouns in this sentence. So, the answer is 3.
Now, solve this instance: Sentence: 'A man wearing a stripped shirt with a stripped tie'. Count the number of nouns in this sentence.
Student: | 3 | 2 | NIv2 | task155_count_nouns_verbs | fs_opt | [
0.10426954925060272,
0.14689500629901886,
0.06249050050973892,
-0.49897301197052,
0.05321521684527397,
-0.503390908241272,
-0.036119796335697174,
0.6256482601165771,
-0.5150489211082458,
0.1816476583480835,
-0.3786933422088623,
-0.49209773540496826,
-0.6394468545913696,
0.2597145438194275,... |
Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Вы скорее всего найдете зубную щетку в закусочной.
Вы скорее всего найдете зубную щетку в ванной.
Вы скорее всего найдете шахматную пирамиду в игровой комнате.
Вы скорее всего найдете шахматный формат в игровой комнате.
Вы можете использовать шляпу, чтобы предупредить других водителей об опасности.
| Вы можете использовать рог, чтобы предупредить других водителей об инциденте.
| 0 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
0.12067997455596924,
0.29973849654197693,
-0.16852834820747375,
-0.4054471254348755,
-0.4896923899650574,
-0.3646029829978943,
0.43429213762283325,
1.3954488039016724,
0.1882075071334839,
-0.6603335738182068,
-0.6707377433776855,
0.09105544537305832,
-0.5089749097824097,
-0.167798787355422... |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
[53, -86] | [-86] | 0 | NIv2 | task369_synthetic_remove_odds | zs_opt | [
-0.8352425694465637,
0.9826804399490356,
0.12190476059913635,
-0.8016213178634644,
0.06576620042324066,
-0.2551299035549164,
1.0961257219314575,
0.4175493121147156,
0.5084033608436584,
0.25321292877197266,
-0.7522430419921875,
-0.1922023892402649,
-0.09276358783245087,
-0.47363558411598206... |
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.
One example is below.
Q: I a am professional dancer.
A: (2,3)
Rationale: words 'a' and 'am' have been swapped. The correct sentence would be 'I am a professional dancer.'. Since the position of 'a' is 2 and 'am' is 3, the answer is (2,3).
Q: A table in a dark room a with pizza and a drink
A: | (7, 8) | 9 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.22011268138885498,
0.4315236210823059,
0.016284920275211334,
-0.722620964050293,
-0.10179267078638077,
0.08403924107551575,
0.412109911441803,
0.2713684141635895,
0.09878230094909668,
-0.06097189337015152,
-0.1791517436504364,
-0.19341205060482025,
-0.40511661767959595,
0.04235097020864... |
Part 1. Definition
Given a sentence in the English language, translate it into the Nepali language.
Part 2. Example
Text: If the research problem is not clear then review of literature can help focus on the problem.
Answer: अथवा शोध समस्याबारे स्पष्ट हुन सकिरहेको छैन भने साहित्यको अवलोकन र पुनरावलोकनले ध्यान केन्द्रित गर्न सहयोग गर्छ ।
Explanation: The translation from English to Nepali is correct
Part 3. Exercise
Text: Cats can hear sounds too faint or too high in frequency for human ears, such as those made by mice and other small animals.
Answer: | बिरालाेहरूले मानिसकाे कानका लागि धेरै मसिनाे अथवा धेरै चर्काे हुने फ्रिक्वेन्सीका अावाजहरू सुन्न सक्छन्, जस्तै मुसा तथा अन्य साना जनावरकाे अावाज ।
| 7 | NIv2 | task1514_flores_translation_entone | fs_opt | [
-0.6026095151901245,
0.4463236927986145,
0.2530279755592346,
0.2972431778907776,
0.27830591797828674,
-0.8507629036903381,
1.0071463584899902,
-0.04929744452238083,
-0.3539990782737732,
0.5247515439987183,
-0.2145662009716034,
-0.007364753633737564,
-1.2267088890075684,
0.06981144845485687... |
Part 1. Definition
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Part 2. Example
ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرتاب باشند در عرض چند ساعت.
Answer: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować ponownie w ciągu kilku minut.
Explanation: The Farsi sentence is correctly translated into Polish, because the meaning is preserved.
Part 3. Exercise
با علم به این که بیماری که توسط میکروسکوپ آزمایش نمی شود تا ۱۵ نفر را می تواند آلوده کند — آدم های سالم را — در هر سال ، می توانید مطمئن باشید که ما جان های زیادی را نجات دادیم.
Answer: | Wiedząc o tym, że pacjent niewykryty przez mikroskopię zaraża do 15 osób — zdrowych ludzi — na rok, możecie być pewni że uratowaliśmy mnóstwo istnień. | 7 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.3285866975784302,
0.8258049488067627,
0.30284643173217773,
-0.3116950988769531,
-0.4207321107387543,
0.11375701427459717,
1.3971223831176758,
-0.08882085978984833,
-0.06816387921571732,
-0.5712951421737671,
-1.050417423248291,
0.983535885810852,
-0.8454934358596802,
0.3400663137435913,
... |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
--------
Question: Me refiero a la actitud que el Gobierno austríaco adoptará en el Consejo en relación con las propuestas de la Comisión de creación de un programa de acción de lucha contra la discriminación y de dos directivas.
Answer: I am referring to the position the Austrian Government will adopt at the Council with regard to the Commission' s proposals for the establishment of an action programme to combat discrimination and for two directives.
Question: Señor Presidente, quisiera plantear una cuestión de orden relativa a la manifestación que había organizado para hoy la asociación de asistentes parlamentarios para apoyar su petición de que se adopte cuanto antes el estatuto del asistente parlamentario.
Answer: Mr President, I should like to raise a point of order in relation to the activities organised today by the Association of Parliamentary Assistants in support of their call for a statute for assistants to be adopted as soon as possible.
Question: Yo le ruego, señor Prodi, que cumpla sus promesas y las traslade a la práctica.
Answer: | Please, Mr Prodi, stand by your word and implement your promises.
| 7 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
0.25445297360420227,
0.3706260025501251,
-0.13527250289916992,
-0.12289856374263763,
0.12045662850141525,
-0.5776698589324951,
1.0147591829299927,
0.806287407875061,
-0.07707656919956207,
0.34775930643081665,
-0.3790411055088043,
0.5127373337745667,
-0.8140859603881836,
0.17907260358333588... |
Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'.
--------
Question: Repeats sees 2008 operating profit down y-y ( Reporting by Helsinki Newsroom ) Keywords : TECNOMEN-RESULTS
Answer: negative
Question: The company expects its net sales in the first half of 2008 to reach the previous year 's level .
Answer: positive
Question: The fuel purchase contracts have been signed with three months ' delivery from this September to November .
Answer: | neutral
| 7 | NIv2 | task843_financial_phrasebank_classification | fs_opt | [
-1.1618196964263916,
0.10997358709573746,
0.0662565603852272,
0.07049240171909332,
-0.30466166138648987,
-0.10474593937397003,
-0.14290091395378113,
1.398146390914917,
0.06323328614234924,
0.34613361954689026,
-0.7438192367553711,
0.816146731376648,
0.22680476307868958,
-0.2815788984298706... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.
['Stop by The Waterman in Riverside for conveniently priced Italian food. This dining experience is sure to be an intimate one, with low crowds and adults only, you can spend a romantic evening full of zesty Italian cuisine.', 'The Plough is an Italian pub with a cheap price range near Café Rouge.'] | DISSIMILAR | 0 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.23035141825675964,
0.39022573828697205,
0.46647465229034424,
-0.531932532787323,
-0.1857859492301941,
0.24153944849967957,
1.293142318725586,
0.564112663269043,
0.5551331043243408,
0.09431648999452591,
-0.8603140711784363,
-0.35257023572921753,
-0.6409834623336792,
0.21830785274505615,
... |
You are given a dialog between 2 or more individuals. Within the dialog, there will be clues as to the names of the speakers. You will be asked at the end of the dialog to identify the name of one of the speakers.
[EX Q]: Speaker 1: Hey Rach, I just heard. I'm so sorry.
Speaker 2: Oh, thank you...
Speaker 1: You still don't know my name, do you?
Speaker 2: Well, now I don't have to. What is the name or nickname of
Speaker 2?
[EX A]: Rach
[EX Q]: Speaker 1: You have a Miss Monica Geller here.
Speaker 2: Uh, absolutely, yeah, sEnd her in. Hi.
Speaker 3: What the hell is this?
Speaker 2: Hang on a second. I'll-I'll talk to you in the morning. I'm sorry what?
Speaker 3: Seriously, what is this supposed to mean?
Speaker 2: Well, y'know, I never know how much to tip.
Speaker 3: You're supposed to double the tax. Not double the tax of Romania. I mean, what's-what's the deal? Are you, are you trying to buy me? Is this the way you get girls to go out with you?
Speaker 4: Umm, I'm still here.
Speaker 2: You're taking this all wrong. Because, if I didn't leave you that tip, you wouldn't of come down here, we wouldn't be having this argument, and there wouldn't be this ah, heat between us.
Speaker 3: What?!
Speaker 2: Come on, you gotta admit that our relationship is ah, is hitting a new level now. 'Cause you used to be like the chef, and I was the customer, and now we're like this-this couple that fights.
Speaker 3: Okay, umm, you're a loon.
Speaker 2: Look, forget the check, okay. I like you. I think you're great. Come on, what do you say?
Speaker 3: I don't know.
Speaker 2: Why not?
Speaker 3: 'Cause I don't want to encourage this kind of behaviour.
Speaker 2: One meal! That's all I'm asking for. Please? We go out, we eat, and if you don't have a good time, I give you ten grand, we call it even. What is the name or nickname of
Speaker 3?
[EX A]: Miss Monica Geller
[EX Q]: Speaker 1: Ok. Hold on. Geller here! No! I said it has to be there by 4 o'clock. Goodbye. Oh, how hard it is to make an ice sculpture?
Speaker 2: Ice sculpture? That sounds really fancy! I told you I just want a simple wedding.
Speaker 1: Please... honey, leave the details to me. Now I wanna make this day as special for you as I can. Now, ok, I was thinking that the harpist should wear white.
Speaker 2: What harpist? My friend Marjorie is playing the steel drums.
Speaker 1: Ooh... she backed out.
Speaker 2: She did? Why?
Speaker 1: I made her. Steel drums don't really say "elegant wedding". Nor does Marjorie's overwhelming scent.
Speaker 2: Hey! She will shower when Tibet is free. What is the name or nickname of
Speaker 1?
[EX A]: | Geller
| 6 | NIv2 | task906_dialogre_identify_names | fs_opt | [
0.33232128620147705,
0.36548757553100586,
-0.4641435742378235,
0.5497786998748779,
0.04681514576077461,
-0.2383754551410675,
0.7552905082702637,
0.921192467212677,
-0.11755144596099854,
0.06678881496191025,
0.1279616802930832,
0.5536364912986755,
-0.21054798364639282,
0.21140804886817932,
... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Tenemos que llamar a esto por su nombre: un gran fracaso de la religión.
A: | We need to call this what it is: a great failure of religion. | 7 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.3047527074813843,
1.058915615081787,
0.3223838806152344,
-1.051196575164795,
-0.5833154916763306,
-0.8465534448623657,
0.33568692207336426,
0.9139655232429504,
-0.33133864402770996,
-0.3550044298171997,
-0.05553027614951134,
0.28967219591140747,
-0.3176726698875427,
-0.00961147248744964... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Let me give you an example: Agora, está ao lado, ou na miña casa.
The answer to this example can be: Now, it's next door, or in my house.
Here is why: The Galician sentence is correctly translated into English. `casa` is correctly translated as `house`.
OK. solve this:
Empeza con recicladores de metais que descompoñen o material en pequenas pezas.
Answer: | It starts with metal recyclers who shred our stuff into very small bits. | 8 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.29098522663116455,
1.1473705768585205,
-0.3920791745185852,
-0.23031014204025269,
-0.06514536589384079,
-1.198336124420166,
0.610709547996521,
0.8030993342399597,
-0.37141773104667664,
0.1999252438545227,
-0.3948337435722351,
0.6885501742362976,
-0.8636476397514343,
0.051133543252944946... |
Instructions: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Input: Tweet: @anonymized_account Daj panie Boże zdrowie, żeby tyle dożyć! , Question: Is the tweet free of any cyberbullying (harmful) content?
Output: | Yes | 3 | NIv2 | task839_cdt_classification | zs_opt | [
-1.150923252105713,
1.1590449810028076,
0.15067361295223236,
0.5423256158828735,
-0.5748153924942017,
-0.6994262337684631,
1.3938024044036865,
-0.44923925399780273,
0.1659204661846161,
0.1186143159866333,
-0.061521016061306,
0.7433428764343262,
-0.6801618337631226,
-0.18151386082172394,
... |
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 math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.
Rachel strolled to Nicholas 's house . It is 10 miles from Rachel 's house to Nicholas 's house . It took Rachel 5 hours to get there . How fast did Rachel go ?
Solution: 2
Why? Rachel's speed = distance/time = 10/5 = 2
New input: Brad has 17 balloons . 8 balloons are red and the rest are green . How many green balloons does Brad have ?
Solution: | 9 | 0 | NIv2 | task868_mawps_singleop_question_answering | fs_opt | [
0.0718473270535469,
0.8563142418861389,
-0.2937476336956024,
-0.46980223059654236,
-0.38757291436195374,
0.4529445171356201,
1.1360899209976196,
0.5769549012184143,
0.23098847270011902,
-0.35923582315444946,
-0.538905143737793,
-0.2329411506652832,
-0.09854532033205032,
0.23033127188682556... |
You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
[EX Q]: Statement: 1500 കളുടെ തുടക്കത്തിൽ, ഇന്നത്തെ <MASK> സിൻജിയാങ് പ്രവിശ്യയിൽ സ്ഥിതി ചെയ്യുന്ന തിമുരിഡ് യാർക്കന്റ് ഖാനേറ്റിലെ സുൽത്താൻ സെയ്ദ് ഖാൻ സ്കാർഡുവിനെയും ബാൾട്ടിസ്ഥാനെയും ആക്രമിച്ചു. സുൽത്താൻ സെയ്ദിന്റെ അധിനിവേശം വ്യക്തമാക്കിയ ഭീഷണി കണക്കിലെടുത്ത് മുഗൾ ശ്രദ്ധ ഇവിടേയ്ക്ക് ആകർഷിക്കപ്പെടുകയും മുഗൾ ചക്രവർത്തി അക്ബർ 1586 ൽ ബാൾട്ടിസ്ഥാൻ പിടിച്ചടക്കാൻ പ്രേരിപ്പിക്കപ്പെടുകയും ചെയ്തു. പ്രാദേശിക മാക്പോൺ ഭരണാധികാരികൾ വിശ്വസ്തത വാഗ്ദാനം ചെയ്യുകയും അതുമുതൽ അലി ഷേർ ഖാൻ അഞ്ചാൻ മുതലുള്ള സ്കാർഡു രാജാക്കന്മാർ മുഗൾ സാമ്രാജ്യ ചരിത്രത്തിൽ ലിറ്റിൽ ടിബറ്റിന്റെ ഭരണാധികാരികളായി പരാമർശിക്കപ്പെടുകയും ചെയ്തു.
Option A: ചൈനയിലെ
Option B: ജമ്മു
Option C: മുഗൾ
Option D: ചൈനയുടെ
[EX A]: ചൈനയിലെ
[EX Q]: Statement: ബ്രുണൻ സാമ്രാജ്യത്തിൻറെ ഭരണകാലത്ത് 1827-ൽ സരാവാക്കിൻറെ മൂന്നാമത്തെ തലസ്ഥാനമായിരുന്നു കുച്ചിങ്ങ്. ഉൾനാടൻ ബോർണിയോ നിവാസികളായ ദയാക്ക് വിഭാഗത്തിൻറെ കലാപം അടിച്ചമർത്തി ബ്രൂണൻ സാമ്രാജ്യത്തെ സഹായിക്കുന്നതിനുവേണ്ടി, സരവാക്ക് ജയിംസ് ബ്രൂക്കിന് വിട്ടുകൊടുത്തതോടെ 1841 ൽ കുച്ചിങ്ങ് സരാവാക്കിൻറെ തലസ്ഥാനമായിത്തീർന്നു. ഈ ജനങ്ങൾ പിന്നീട് അദ്ദേഹത്തിൻറെ വിശ്വസ്തരായ അനുയായികളായിത്തീർന്നു. ചാൾസ് ബ്രൂക്കിൻറെ ഭരണകാലത്ത് ശുചീകരണ സംവിധാനം, ഹോസ്പിറ്റലുകൾ, ജയിലുകൾ കോട്ടകൊത്തളങ്ങൾ, കമ്പോളങ്ങൾ തുടങ്ങിയവ നിർമ്മിക്കപ്പെട്ടതോടൊപ്പം നഗരത്തിനു പ്രത്യേക ശ്രദ്ധയും അതിൻറെ വികസനവും തുടർന്നുകൊണ്ടിരുന്നു. 1941 ൽ ബ്രൂക്ക് ഭരണകൂടം കുച്ചങ്ങിൽ സെൻറിനറി ആഘോഷം നടത്തിയിരുന്നു. രണ്ടാം ലോകമഹായുദ്ധകാലത്ത് 1942 മുതൽ 1945 വരെയുള്ളകാലഘട്ടത്തിൽ കുച്ചിങ്ങ് <MASK> കൈവശപ്പെടുത്തിയിരുന്നു. യുദ്ധത്തടവുകാരെയും സിവിലിയൻ തടവുകാരെയും പാർപ്പിക്കുവാനായി ജാപ്പനീസ് സർക്കാർ കുച്ചിങ്ങിനടുത്തായി ഒരു ബാട്ടു ലിൻറാംഗ് ക്യാമ്പ് രൂപീകരിച്ചിരുന്നു. യുദ്ധത്തിനു ശേഷ നഗരം കേടുപാടുകൾ കൂടാതെ നിലനിന്നു.
Option A: ജപ്പാൻ
Option B: മലേഷ്യയിലെ
Option C: മെമ്മൽസ്ഡോർഫ്
Option D: ചൈനയിലും
[EX A]: ജപ്പാൻ
[EX Q]: Statement: മൈനയുടെ അത്രയും മാത്രം വലിപ്പമുള്ള ഒരു ചെറിയ കിളിയാണ് പൂത്താങ്കീരി (Yellow billed babbler-Turdoides affinis). <MASK> നാട്ടിൻപുറങ്ങളിൽ കുറ്റിക്കാടുകളിലും പറമ്പുകളിലും സാധാരണ കണ്ടുവരുന്നു. ചവലാച്ചി, കരിയിലപ്പിടച്ചി, പീണിക്കിളി, ചിതല, ചാണകക്കിളി, ഉമിക്കാട എന്നൊക്കെയും അറിയപ്പെടുന്നു. വംശനാശഭീഷണി കുറവാണ്. ദേശാടനസ്വഭാവം ഇല്ല.
Option A: കേരളത്തിലെ
Option B: ശ്രീലങ്കയിൽ
Option C: യുനെസ്കോയുടെ
Option D: ശ്രീലങ്കയിലും
[EX A]: | കേരളത്തിലെ
| 6 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.0271182619035244,
0.7024553418159485,
-0.4688490033149719,
-0.05537652224302292,
0.25435739755630493,
-0.5780901312828064,
-0.02051061950623989,
0.8158732652664185,
-0.18053945899009705,
0.16884920001029968,
0.1909255087375641,
0.37776821851730347,
-0.4825479984283447,
-0.072769723832607... |
In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Q: Passage: The Israeli media have said a working document proposed by the United States talks of five, five-bus convoys making the trip each day, transporting 1,800 Palestinians. In contrast, Israel wants only one such convoy, limiting the number to 250. Question: What event has begun but has not finished? Events: ['said', 'proposed', 'talks', 'making', 'transporting', 'wants', 'limiting']
A: | talks | 4 | NIv2 | task390_torque_text_span_selection | zs_opt | [
0.5916475057601929,
0.27952539920806885,
0.05971632897853851,
0.383192241191864,
-0.6887927055358887,
0.8468884229660034,
0.7791285514831543,
0.38461631536483765,
-0.37828874588012695,
0.8558485507965088,
-0.4225222170352936,
0.020983867347240448,
-0.5481512546539307,
0.3231402039527893,
... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
One example: English sentence: Lionel Messi is the greatest football player of all time
Solution is here: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Explanation: The output exactly translates the sentence to it's somali equivalent. Even though the phrase 'greatest player of all times' is translated to 'greatest player ever', the meaning remains the same.
Now, solve this: English sentence: 5. Education, Arts, Science and Technology (Wasaaradda Waxbarashada, Sayniska iyo Tiknoolajiyadda)
Solution: | 5. Eng: C/raxmaan Maxamed Aar (Agaasimaha Waaxda Naqshadayenta Magaalooyinka) | 6 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
-0.11680134385824203,
0.4791053831577301,
-0.11225838959217072,
-0.49969425797462463,
0.3415965437889099,
-0.9101716876029968,
-0.6063541173934937,
0.3084489405155182,
0.5907633900642395,
-0.4026893973350525,
0.17989581823349,
1.1346535682678223,
-0.7783650159835815,
-0.09470349550247192,
... |
Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
[EX Q]: Japanese: 当局はすべての会社員に屋内に残るよう警告し、そして、調査がフリンダーズ・レーンとウィリアム通りが交差する所で行われたので、フリンダーズ通り駅への電車運転は一時的に見合わせとなった。
Bahasa Indonesia: Pemerintah memperingatkan semua pekerja kantor untuk tetap berada di dalam ruangan, dan pelayanan kereta ke stasiun Jalan Flinder ditunda sementara, karena investigasi dilanjutkan sampai ke persimpangan dari Jalan Flinder dan Jalan William.
[EX A]: Yes
[EX Q]: Japanese: 第二セットは、グレートブリテンが、ウクライナに全コートを使わせるように仕向けたことで、どうにか競争的な試合が続いた。
Bahasa Indonesia: Dalam set kedua, Inggris berhasil tetap bersaing dalam pertandingan dengan memaksa Ukrania menyesuaikan diri dengan pengadilan penuh.
[EX A]: Yes
[EX Q]: Japanese: ランダムハウスは、『TheDaVinciCode』と『TheHolyBloodandtheHolyGrail』両方の出版社である。
Bahasa Indonesia: Delapan nelayan lainnya masing-masing didenda 9,000 dollar dan diberi waktu pembayaran 60 hari.
[EX A]: | No
| 6 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.39129430055618286,
-0.13043759763240814,
-0.093012735247612,
-0.2819453775882721,
0.32259684801101685,
-0.22724458575248718,
0.12068478763103485,
-0.21123096346855164,
0.25826379656791687,
-0.27327537536621094,
-0.7121621370315552,
0.5693279504776001,
-0.7316110134124756,
0.063847586512... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: English: A study found Scotland's suicide rate to be increasing away from neighbouring England, Russian press and politicians are examining the world's third-highest teen suicide rate, and new figures showed increasing Aboriginal children's suicides in Australia's Northern Territory.
Japanese: ある研究がスコットランドの自殺率が近隣のイングランドより高まっていることを発見し、ロシアの報道機関や政治家は世界第3位の10代の自殺率を注意深く調べ、新たな数字がオーストラリアのノーザンテリトリーでアボリジニの子どもの自殺が増えていることを示した。
A: | Yes | 4 | NIv2 | task437_alt_en_ja_answer_generation | zs_opt | [
-0.2209111452102661,
-0.3275521397590637,
0.14025990664958954,
-0.7369216680526733,
0.3424164056777954,
-0.5555016994476318,
0.2745763659477234,
0.6335437297821045,
-0.208977609872818,
-0.07444114983081818,
0.027334310114383698,
0.6224744319915771,
-0.8378658294677734,
-0.28832316398620605... |
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.
One example is below.
Q: Sentence 1: The sum of all chemical reactions that take place within an organism is known as metabolism. Sentence 2: Metabolism is the sum total of all chemical reactions performed by an organism.
A: entails
Rationale: Sentence 2 gives out supporting information about the Metabolism hence it is correct
Q: Sentence 1: Precambrian mass extinction was the first mass extinction that occurred on earth. Sentence 2: Mass Extinction The Ordovician Period ended with a mass extinction.
A: | neutral | 9 | NIv2 | task1554_scitail_classification | fs_opt | [
0.06517420709133148,
0.5770488977432251,
-0.34441569447517395,
-0.16380387544631958,
-0.31553587317466736,
-1.028615951538086,
0.00811463501304388,
0.7310975790023804,
0.028511978685855865,
-0.2664288282394409,
-1.0504016876220703,
-0.7656867504119873,
-0.37796133756637573,
0.0128537565469... |
Given the task definition and input, reply with output. Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
Context: This study examines the prevalence and correlates of self-reported premenstrual symptoms among a large, population-based sample of reproductive age, active-duty women.', 'Data were obtained from a combined dataset of two large-scale mail surveys designed to represent the total force. Subjects included in the present study were 6026 active-duty women of all branches of military service stratified by service, paygrade group, race/ethnicity, and location. A multivariate approach is used to evaluate the interrelationships among psychosocial and lifestyle correlates of premenstrual symptoms or pain after controlling for demographic differences in women who reported premenstrual symptoms or pain during the past 3 months (cases) and those who did not (controls).', 'Premenstrual symptoms were reported by nearly 2 of every 3 reproductive age women. Women reporting premenstrual symptoms were more likely to report other symptoms of menstrual dysfunction, two or more current medical conditions, migraines, and healthcare provider visits in the past year. After controlling for the protective effects of taking Depo-Provera (Upjohn, Kalamazoo, MI) and ever being pregnant, younger age, trying to lose weight, heavier drinking, poorer self-perceived health, and overall job stress were the most significant predictors of premenstrual symptoms. The greatest risk factor was a high level of job stress, with an almost 3-fold increase in risk relative to those without symptoms.
Answer: Work stress may mediate the relationship among depression and premenstrual symptoms. Further research is needed to elucidate the biological interrelationships among work stress, hormonal function, and premenstrual symptomatology.
| Does psychosocial and lifestyle correlate of premenstrual symptoms among military women? | 5 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.33687227964401245,
0.3296746611595154,
-1.083235263824463,
-0.09192823618650436,
0.009895711205899715,
0.1375332474708557,
0.4514714479446411,
1.002087116241455,
0.7834116816520691,
0.08139263093471527,
-1.0712350606918335,
0.2563653886318207,
-0.3506182134151459,
0.17575407028198242,
... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Italian.
Q: You could have made it in the 1920s; you wouldn't have had penicillin.
A: | Potevate sostenerlo nel 1920; non avreste scoperto la penicillina. | 9 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.4191771149635315,
1.3665821552276611,
-0.17298144102096558,
0.23556306958198547,
0.04179851710796356,
-1.4551547765731812,
-0.12465402483940125,
1.0229640007019043,
0.09695407748222351,
-0.26858222484588623,
-0.23557715117931366,
0.9529210329055786,
-0.5536924004554749,
-0.4716795086860... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist multiple wrong answers, we only need a single wrong answer.
Example Input: Paris, France (CNN) At this very moment, French transport workers are striking against railroads and airlines. Fuel depots and refineries have been blocked for weeks, garbage workers are refusing to pick up trash, and there has been a surprise blockade of supply trucks at the main food terminal for the Paris region. The country is hardly putting on its best face for the millions of football fans heading here for the European Championship. And many people are asking why the French won't stop whining and get to work. Euro 2016: Who's on your dream team? Well, the explanation at the center of it all is the government's attempt to reform the country's labor laws. The timing of this idea was especially inept given what is at stake this summer for the country's image, already suffering from the effects of last year's terror attacks.CNN's Jim Bitterman: Many people are asking why the French won't stop whining and get to workThere is probably never a good time to attempt reforms here, writes Bitterman
Question:Reform, one _ observer wrote recently, is viewed as dining with the devil.
Example Output: Paris
Example Input: (CNN) An American researcher has been sentenced to 10 years in prison after being convicted of spying, according to Iran. Princeton University identified the man as Chinese-born Xiyue Wang, an American citizen and graduate student in history. Wang was arrested in Iran last summer while doing scholarly research in connection with his Ph.D. dissertation, a university statement said. Earlier Sunday, the semi-official news agency Fars News, citing a video statement from Iranian judicial spokesman Gholamhossein Mohseni-Ejheie, initially identified the convicted man's nationality as Iranian-American. Later, Fars News, again citing Mohseni-Ejheie, said he was a citizen of the United States and a country other than Iran.Princeton identifies man as Chinese-born Xiyue Wang, an American citizen and graduate student in historyHe was arrested and put on trial for "gathering information," Iranian news service says
Question:According to _ law, a convicted person has 20 days to appeal a sentence.
Example Output: American
Example Input: Washington (CNN) Sen. Marco Rubio, a longtime hawk on Syria, praised the US airstrike on a Syrian airfield days after a chemical attack on innocents attributed to Syrian President Bashar al-Assad. Following news that President Donald Trump had green-lit the US action, Rubio said Thursday on CNN's "Anderson Cooper 360" that Russia could not fairly criticize the military strike because Russia backed Assad -- who is accused of perpetrating the attack on his own people. "They have no standing to say anything about this," Rubio said of the Russians. He said that the move doesn't just send a message, but amounts to a "significant degrading" of Assad's ability to carry out chemical attacks.Rubio said Russians had put themselves into harm's wayHe said the strikes indicated a firm US stance against Assad's reign
Question:In 2013, Rubio did not support authorizing a military strike against Assad after Obama called for congressional approval in the wake of _ unleashing chemical weapons on his people.
Example Output: | Washington
| 3 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
0.38763415813446045,
0.8056147694587708,
0.07633044570684433,
-0.1328602135181427,
0.5919321775436401,
0.3011087477207184,
0.6168500781059265,
1.1667554378509521,
-0.10334302484989166,
0.6207036972045898,
-0.30997151136398315,
0.23643702268600464,
-0.534339189529419,
0.055800534784793854,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Q: וזה לא מבוסס על דת או פילוסופיה, אלא מגיע מתחום חקר המוח, בכל תחומי המחקר, ממדעי המוח ועד למדעי הקוגניציה, כלכלנים התנהגותיים, פסיכולוגים, סוציולוגים, אנו מחוללים מהפכה במודעות.
A: I nie jest to ugruntowane na teologii czy filozofii, a jest to w nauce o umyśle, poprzez wszystkie te sfery badań, od neuronauki po nauki poznawcze, ekonomiści behawioralni, psychologowie, socjologia, dokonujemy rewolucji świadomości.
****
Q: התחלתי להטיף להפסיק את האלימות בקהילה.
A: W kazaniach potępiałem lokalną przemoc.
****
Q: אין לנו שום מושג למה זה יגרום.
A: | Nie mamy absolutnie pojęcia, jak by to zadziałało.
****
| 4 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
-0.7999041080474854,
0.5147813558578491,
0.5201224684715271,
-0.6192600727081299,
-0.8221266269683838,
-0.4501572549343109,
0.5159674286842346,
0.17329397797584534,
1.0108363628387451,
-1.1470441818237305,
-0.6351945400238037,
0.24214676022529602,
-0.7914298176765442,
0.10360132157802582,
... |
Detailed Instructions: In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Problem:Sentence1: Rick was at the bar when he saw a driver license on the ground. Sentence2: He asked around if it was anybody's there. Sentence3: Of course it wasn't, and Rick didn't want to leave it with a stranger. Sentence4: So he decided to drive to the address of the license owner.
Solution: | Rick gave the license to the driver and made the driver happy. | 8 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.9257765412330627,
1.0824300050735474,
0.44806957244873047,
-0.8077114820480347,
-0.9370886087417603,
-0.21142593026161194,
0.6868549585342407,
0.10089312493801117,
0.8611760139465332,
0.2511342167854309,
-0.7001538276672363,
-0.11545054614543915,
-0.20604296028614044,
0.4289289116859436... |
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 it is plausible for the Head to desire the Tail or not. In this task, desire means desires of sentient entities. For example, doctors likely desire to cure a patient. 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.
[Q]: Head: person<sep>Tail: independent
[A]: Yes
[Q]: Head: person<sep>Tail: catch parade
[A]: Yes
[Q]: Head: person<sep>Tail: have good relationships with others
[A]: | Yes
| 5 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
-0.06841602921485901,
0.37237250804901123,
0.34299612045288086,
-0.4515068829059601,
-0.7065492272377014,
-0.6572825908660889,
1.100563406944275,
0.2968260645866394,
-0.5368407964706421,
-0.4867560863494873,
-0.41637560725212097,
-0.17932835221290588,
-0.33707255125045776,
0.33671307563781... |
Definition: In this task, you're given an input that contains two words, and your task is to predict the correct preposition that connects these two words. Predict the preposition that explicitly conveys both words' meaning, e.g., Word1: king
Word2: fort: "king of fort". Possible prepositions are: "of", "on", "in", "for", "from", "about", and "with".
Input: Word1: mystery
Word2: doors
Output: | of | 2 | NIv2 | task585_preposition_classification | zs_opt | [
0.29340699315071106,
0.958841860294342,
0.11342416703701019,
-0.314225971698761,
-0.29007625579833984,
-0.30029305815696716,
0.49595949053764343,
0.011853253468871117,
0.18658342957496643,
-0.9925532341003418,
-1.2329806089401245,
0.18906497955322266,
-0.9312058687210083,
0.099540799856185... |
A text is given in Malayalam. Translate it from the Malayalam language to the Tamil language. The translation must not omit or add information to the original sentence.
--------
Question: ഏതെങ്കിലും ഉല്പന്നങ്ങള്ക്കായി സംസ്ഥാനത്തിനു പുറത്തേക്കുപോകേണ്ട സാഹചര്യം ആര്ക്കെങ്കിലും ഉണ്ടാവുമെന്നു ഞാന് കരുതുന്നില്ല.
Answer: ஒருவருடைய தேவைகளைப் பூர்த்தி செய்வதற்கு யாரும் மாநிலத்திற்கு வெளியே செல்ல வேண்டியிருக்கும் என்று நான் நினைக்கவில்லை.
Question: നിങ്ങളില് പലരും ഈ പരിപാടിയില് നിരവധി തവണ പങ്കെടുത്തിട്ടുണ്ടാകും.
Answer: இத்தகைய பாதுகாப்புக் கண்காட்சியை உங்களில் சிலர் பல முறை கண்டுகளித்திருக்கக் கூடும்.
Question: ഇരു രാജ്യങ്ങളിലെയും കസ്റ്റംസ് അധികൃതര് തമ്മില് വിവരങ്ങളും രഹസ്യവിവരങ്ങളും പങ്കുവയ്ക്കുന്നതിന് ഈ കരാര് നിയമപരമായ ചട്ടക്കൂടു പ്രദാനംചെയ്യും.
Answer: | இருநாடுகளுக்கும் இடையே வர்த்தகம் ஆகும் பொருட்கள் சார்ந்த விரைந்த அனுமதியை உறுதி செய்து வர்த்தகத்தை மேம்படுத்த இந்த உடன்பாடு உதவும் என எதிர்பார்க்கப்படுகிறது.
| 7 | NIv2 | task999_pib_translation_malayalam_tamil | fs_opt | [
0.43138277530670166,
0.4751114249229431,
0.20779211819171906,
-0.0173971988260746,
0.01782003790140152,
-0.433310866355896,
-0.12715795636177063,
0.1081683561205864,
-0.49027174711227417,
-0.18202069401741028,
-0.7086755037307739,
0.2793462872505188,
-1.068218469619751,
0.19220837950706482... |
In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of stereotype or anti-stereotype: gender, profession, race, and religion.
Example input: Passage: Many people live in Ethiopia. The people are very thin and good at distance running.
Example output: Race
Example explanation: The second sentence "The people are very thin and good at distance running." is a racial stereotype of the Ethiopian people. It represents a standardized mental picture of the Ethiopian people.
Q: Passage: Britain is in Eurpoe There are nice people as well as mean people there.
A: | Race | 3 | NIv2 | task280_stereoset_classification_stereotype_type | fs_opt | [
0.020876407623291016,
0.43089282512664795,
0.07073532044887543,
-0.31343957781791687,
0.1704414337873459,
-0.13532206416130066,
0.6815833449363708,
0.48299306631088257,
0.4061053991317749,
-0.1129530668258667,
-0.7606514096260071,
0.3757966160774231,
-0.8398164510726929,
-0.143484652042388... |
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
Ex Input:
Sentence: The cats laughed at him.
Question: What does Puddles choose to do?
Ex Output:
No.
Ex Input:
Sentence: Historic areas of Kathmandu were devastated by a 7.8 magnitude earthquake on 25 April 2015.
Question: What suggests that Kathmandu is as old as it is?
Ex Output:
Yes.
Ex Input:
Sentence: Also of note is the Moti Azima Gallery, located in a three storied building in Bhimsenthan which contains an impressive collection of traditional utensils and handmade dolls and items typical of a medieval Newar house, giving an important insight into Nepali history.
Question: The Moti Azima Gallery contains objects that might be found in a Nepalese house of what time period?
Ex Output:
| Yes.
| 1 | NIv2 | task050_multirc_answerability | fs_opt | [
0.013345174491405487,
-0.14036554098129272,
-0.10189592838287354,
0.9258908629417419,
0.247972309589386,
-1.6371029615402222,
0.5631605386734009,
0.6357250213623047,
-0.29640957713127136,
-0.07763911038637161,
-0.4950810670852661,
0.6390587091445923,
-0.6447399854660034,
0.2241071611642837... |
Detailed Instructions: 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.
Problem:Comment: "the woman described as an experienced paddler forgot to attach her leash to ankle." ,,, hah? forgot da leash and neva know that long?
Solution: | Non-obscene | 8 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.4073846638202667,
0.17874333262443542,
0.38279300928115845,
-0.2741353213787079,
0.3458397090435028,
0.037803471088409424,
0.41685768961906433,
0.7313492298126221,
0.3504834771156311,
0.4066641926765442,
-0.1376882940530777,
-0.06363344937562943,
-0.34709876775741577,
-0.433103322982788... |
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Q: name[xname], recommend[yes], cuisine[New American], decor[bad], qual[bad], location[Midtown], service[bad]
A: Because xname offers rude staff and bad food. It is a New American place. xname is in Midtown with mediocre decor, it is the best restaurant.
****
Q: name[xname], eattype[coffee shop], cuisine[English], price[more than £30], rating[high], location[riverside], familyFriendly[yes]
A: A local coffee shop located on the riverside is xname that serves English food and is also children friendly. Their customer ratings are high and also the price range is quite high at more than £30.00 is a great environment.
****
Q: name[xname], eattype[coffee shop], cuisine[Chinese], price[less than £20], location[city centre], familyFriendly[no], near[xnear]
A: | xname is a non family friendly coffee shop who serves Chinese food and is less than £20. It is near the xnear in the city centre.
****
| 4 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.09858908504247665,
-0.16601324081420898,
-0.6973429918289185,
0.07061165571212769,
0.05975670367479324,
0.20674532651901245,
0.3611952066421509,
0.9178440570831299,
0.026835599914193153,
-0.10196345299482346,
1.0120795965194702,
-0.4836518168449402,
-0.13202553987503052,
-0.413677453994... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Example input: Sentence: 'the street light is green in the city'. How many words end with the letter 't' in the sentence.
Example output: 2
Example explanation: The words 'street', and 'light' end with the letter 't'. So, the answer is 2.
Q: Sentence: 'people standing on a huge replica of an elephant'. How many words end with the letter 'a' in the sentence.
A: | 2 | 3 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.34101200103759766,
0.7279778718948364,
-0.2662140727043152,
-0.7413204908370972,
-0.2156607210636139,
-0.3506062924861908,
0.27979403734207153,
0.4955437183380127,
0.4667929410934448,
-0.8703796863555908,
-0.25197547674179077,
0.5848565101623535,
-0.6974677443504333,
-0.0138872116804122... |
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "against". If there's no causal relationship between the two, answer with "none".
Input: Consider Input: Process: -Air enters the nose or mouth and travels through the windpipe into the lungs -The lungs have a series of smaller and finer tubes and sacs -Air reaches the smallest and finest air sacs called alveoli -Oxygen travels from the alveoli into the blood -Oxygen-rich blood is carried to the heart -Oxygen-rich blood is pumped throughout the body by the heart -Cells take in the oxygen rich blood and release carbon dioxide rich blood -The carbon dioxide rich blood travels to the lungs -Carbon dioxide travels through the throat and is exhaled.
Question: What is the effect of deep freeze in area on a greater amount of oxygen being delivered to the blood stream.?
Output: none
Input: Consider Input: Process: -Solar radiation reaches Earth's atmosphere -Some is reflected back into space -The rest of the energy is absorbed by land and oceans, heating the Earth -Heat radiates from Earth to space -Some of this heat is trapped by greenhouse gases in the atmosphere -Human activities such as burning fuel are increasing the amount of greenhouses gases -This causes more heat radiation to stay trapped in our atmosphere -The Earth's temperature rises -
Question: What is the effect of "dont do anything about it and remain at ease" on the planet will become hotter and hotter.?
Output: for
Input: Consider Input: Process: -Fluid -Waste enters the kidneys -A processing moment in the kidneys let waste and fluid pass -Prevents larger molecules to pass -Fluid goes back to the bloodstream -Bad waste is removed -The final product is turned into urine.
Question: What is the effect of more turned into aluminum on more water is drunk.?
| Output: none
| 2 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
0.8541378974914551,
0.7385041117668152,
-0.5723767280578613,
-0.2640153169631958,
-0.07241582870483398,
-0.7454979419708252,
0.288485586643219,
0.5335301756858826,
-0.1244591772556305,
0.31083035469055176,
-0.16872867941856384,
-0.1560365855693817,
-0.6619798541069031,
0.04973229765892029,... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Sentence1: Car and automobile, for example, are synonyms.
Sentence2: operating a car usually requires fossil fuels.
Student: | Car | 6 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
0.015689320862293243,
0.5780274868011475,
0.34571534395217896,
-0.5399200916290283,
-0.4601254165172577,
-0.6055163145065308,
0.9122918844223022,
0.7365685701370239,
-0.08147671818733215,
-0.5415182113647461,
-0.12230798602104187,
-0.8541545867919922,
-0.8826935291290283,
0.296361207962036... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Input: Consider Input: それは我々の社会の
Output: E penso che questo è uno dei problemi principali della nostra società:
Input: Consider Input: 北極を泳ぐなんて普通であればしないことです
Output: Beh, nuotare al Polo Nord non è una cosa normale da fare.
Input: Consider Input: さらに特定するなら特定の郵便番号を見てみることですね
| Output: E se volete essere ancora più specifici, si può arrivare a specifici CAP.
| 2 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
-0.623182475566864,
0.24415652453899384,
-0.23784123361110687,
0.022062998265028,
-0.15500307083129883,
-0.8274447917938232,
-0.01446448639035225,
0.3370601534843445,
0.23643238842487335,
-0.7234639525413513,
-0.95078444480896,
0.7423822283744812,
-0.2814672589302063,
-0.07811225950717926,... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Q: Cut each chicken breast horizontally, stopping 1/2 inch from edge. Open each breast and pound to 1/4 inch thickness or so the chicken is the same size of the Naan bread(see note below). Sprinkle with salt and 1/4 teaspoon of the pepper., In large pie plate, place panko. Stir in cumin, cayenne, garam masala and remaining 3/4 teaspoon pepper., In another pie plate, place 1/2 cup of the flour. In third plate, whisk egg and mayonnaise with paprika; whisk in remaining 3/4 cup flour until smooth., Dredge 1 chicken breast in flour; shake off excess. Then dip chicken in egg mixture to coat; next dip in panko. Repeat with remaining chicken breast., In large non-stick skillet over medium heat, place 2 tablespoons olive oil and 1 tablespoon butter. Add chicken and cook, turning once, about 2 minutes per side or until internal temperature reaches 165°F Remove and keep warm., Wipe skillet and add remaining 1 tablespoon oil and 1 tablespoon butter. Add garlic and stir until fragrant. Briefly heat Naan in garlic oil, turning once, until soft and golden. Place 1 chicken breast on each Naan and top with tomato slices, lettuce leaves, a generous tablespoon each of Sweet Date Sauce and Tangy Yogurt Sauce and remaining Naan. Cut each sandwich in half and then, half again. Serve with extra sauces for dipping. Two Naan-wiches make 4 servings. Enjoy!, Sweet Date Sauce:., In water, simmer dried dates about 15 minutes or until soft. Cool slightly and place dates and liquid in blender, process until fine. Add tamarind paste, brown sugar; salt, cumin, pepper, lemon juice, and 2 tbls. water. Process to smooth sauce. Additional sauce may be frozen., Tangy Yogurt Raita:, In small food processor, place yogurt and cilantro. Process until sauce turns pale green and cilantro is finely incorporated. Spoon into medium bowl and stir in finely grated carrot; finely minced sweet onion; grated cucumber, drained; 1ground cumin;cayenne; and salt., Note: If chicken breast halves are too large to fit on Naan bread, cut each breast in half to fit bread.
A: chicken, salt, pepper, breadcrumbs, ground cumin, cayenne, garam masala, flour, egg, mayonnaise, paprika, olive oil, butter, bread, garlic, tomatoes, boston lettuce, Sauce, water, dates, tamarind paste, brown sugar, salt, cumin, pepper, lemon juice, water, Raita, yogurt, cilantro, carrot, sweet onion, grated cucumber, ground cumin, cayenne, salt
****
Q: Heat oven to 350 degrees F., Unroll breadstick dough; separate into strips., Wrap 1 strip in spiral fashion around each frank; place on baking sheet., Bake 15 min., or until breadsticks are golden brown and franks are heated through, turning after 8 min.
A: breadsticks
****
Q: Brown ground meat and onion together, then drain. Add soups, milk, sauce and chilies. Layer bottom of 13 x 9 x 2 pan with Doritos. Spread meat mixture over Doritos. Top with shredded cheese. Bake at 350° for 30 minutes or until done and cheese is melted.
A: | ground meat, cream of mushroom soup, milk, green chilies, Doritos, onion, cream of chicken soup, enchilada sauce, Cheddar cheese
****
| 4 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.8540394902229309,
-0.20623411238193512,
-0.7149142622947693,
0.5762158632278442,
0.015848206356167793,
0.11077220737934113,
1.673990249633789,
0.9180771112442017,
-0.31746208667755127,
-0.22634229063987732,
0.11535517871379852,
-0.09365809708833694,
-0.5049325823783875,
0.108661442995071... |
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.
Ex Input:
Context: My dad in old age ... he would have been wise in some matters . Important matters of the day to day . Wise in his right - brained blueness . Wise as each white hair in his beard .
Ex Output:
What may be a fact about their dad ?
Ex Input:
Context: Anyway , power was out to the whole block and it was restored right before I left for work . Mom had kind of settled in and decided to bite the bullet for a couple of hours so that I could go back to sleep , and I made my getting - ready - for - work process that much more cramped and urgent by not respecting my alarm at all . Snooze ftw ! In other news , this weekend was great !.
Ex Output:
Why was power restored ?
Ex Input:
Context: Anyway , my pop and uncle drained all the oil out and fixed Indy up right quickly . But now . I went to pick Indy up from the mechanic today ( the engine thing only got finished over the weekend ) and when I got there , there was a huge dent in the roof . Apparently Billy had the car parked on the street on Saturday and a branch fell on Indy .
Ex Output:
| What 's a possible reason they drained all the oil out ?
| 1 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.3013811707496643,
0.5335866212844849,
0.07864166796207428,
0.20645149052143097,
-0.3914013206958771,
-0.5585449934005737,
0.3413100838661194,
1.2262932062149048,
0.6128580570220947,
0.32782939076423645,
-0.9222303628921509,
0.17504169046878815,
-0.30794084072113037,
0.31149694323539734,
... |
Definition: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the third fact. An example of a chain is: "pesticides cause pollution" (given fact) + "pollution can harm animals" (related fact) → "pesticides can harm animals" (connected chain). Avoid creating simple paraphrases of the given fact. While your generated fact should be related to the input fact, they must describe slightly different scientific phenomena. It's okay if your related fact includes some irrelevant information, provided that it has some overlap with the given fact and it contains some words corresponding to the provided topic.
Input: Fact: drought is when amount of precipitation decreases.
Topic: drought rain.
Output: | Drought or rain also affect the harvest and the planning. | 2 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
-0.008153010159730911,
0.6076830625534058,
-0.49805688858032227,
-0.2185724377632141,
-0.5242014527320862,
-0.9350502490997314,
-0.02432931773364544,
0.7402341365814209,
-0.37347742915153503,
-0.05702677369117737,
-1.420212984085083,
0.5212463140487671,
-0.29175859689712524,
0.032645046710... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Problem:Les daba crédito porque confiaba en ellos.
Solution: | او به آنها اعتبار می داد چون به انها اعتماد داشت. | 8 | NIv2 | task1103_ted_translation_es_fa | zs_opt | [
-0.5059416890144348,
0.6948297023773193,
-0.316569983959198,
-0.48266440629959106,
-0.8895043134689331,
-0.04706357792019844,
2.0453994274139404,
0.23530128598213196,
0.2368651032447815,
-0.6097029447555542,
-0.7565996646881104,
0.5450447797775269,
-0.6552512645721436,
0.11751306056976318,... |
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
And thou shalt remember all the way which the LORD thy God led thee these forty years in the wilderness, to humble thee, and to prove thee, to know what was in thine heart, whether thou wouldest keep his commandments, or no. | زمینی که پر از گندم و جو و مو و انجیرو انار باشد، زمینی که پر از زیتون زیت و عسل است. | 0 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
-1.030730962753296,
0.7857184410095215,
-0.5123855471611023,
-0.20250125229358673,
-0.7950454950332642,
-0.7514155507087708,
1.2875268459320068,
0.08135869354009628,
0.616714358329773,
-0.31219416856765747,
-0.11962054669857025,
0.9172109365463257,
-0.7533738613128662,
0.07280680537223816,... |
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