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 |
|---|---|---|---|---|---|---|
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context. The original ending is the last three sentences of the story. Also, you are given a new ending that can provide the new story with the same premise. You should write a counterfactual context to explain the small differences between the original and new endings. More specifically, a story context contains the general plot of the story. And a counterfactual context is a slight modification to the initial context. To sum up, you should write the second sentence of a story based on the premise(first sentence) and the new ending(last three sentences) of the story.
Input: Consider Input: Premise: Jasmin got pregnant during her senior year of high school.
Initial Context: She was very worried that her life would be ruined.
Original Ending: She had her baby after graduation. She was still able to go to college to pursue her education. As soon as she graduated, she landed her dream job!
New ending: She had her baby after her friends graduated. She was still able to go to college with her GED. As soon as she graduated, she landed her dream job!
Output: She dropped out of school to raise her child.
Input: Consider Input: Premise: Nate and his class were playing a game with marshmallows.
Initial Context: They raced to see who could push one with his nose the fastest.
Original Ending: Nate really wanted to win the race. He gave one last big push with the top of his head. Nate got marshmallow stuck in his hair.
New ending: Nate really wanted to win the race. He pushed handfuls of marshmallows into his mouth. Nate got marshmallow stuck on his face.
Output: They wanted to see who could eat the most.
Input: Consider Input: Premise: Kara wanted to go swimming.
Initial Context: She went to the lake.
Original Ending: There, she dove into the water. She swam for almost an hour! After, she felt refreshed and happy.
New ending: At the lake, she dove into the water. She swam for almost an hour! After, she felt refreshed and happy.
| Output: She stopped by the store on her way to the lake to pick up a soda.
| 2 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.5803816318511963,
0.2006620317697525,
0.12469660490751266,
-0.15359950065612793,
0.022820325568318367,
-0.8654401302337646,
-0.0017424914985895157,
1.115952491760254,
-0.10388169437646866,
-0.11625590175390244,
-0.5255382061004639,
-0.3247222900390625,
-0.5106580257415771,
-0.21960186958... |
You will be given a definition of a task first, then some input of the task.
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
In nonalcoholic fatty liver disease (NAFLD), increased alanine aminotransferase (ALT) concentrations are considered to be a consequence of hepatocyte damage. We performed a prospective study to examine the association between ALT within its reference interval and risk for subsequent development of NAFLD.', 'The study cohort comprised 5237 healthy men without diagnosed NAFLD and without increases of either ALT (> or =35 U/L) or gamma-glutamyltransferase (GGT; > or =40 U/L) above the reference intervals. We assessed alcohol intake via self-reporting (questionnaire) and performed biochemical tests for liver and metabolic function and abdominal ultrasonography. We used the Cox proportional hazards model to calculate the adjusted hazard ratios (aHRs) in the model for NAFLD.', 'During 13 276.6 person-years of follow-up over a 4-year period, 984 new incident cases of NAFLD developed. We adjusted for age, weight change, body mass index, glucose, blood pressure, triglycerides, HDL cholesterol, smoking, alcohol consumption, regular exercise, homeostasis model assessment of insulin resistance, C-reactive protein, and incident diabetes. Compared with an ALT concentration of <16 U/L, aHR values (95% confidence intervals) for ALT concentrations were 1.53 (1.18-1.98), 1.66 (1.29-2.13), 1.62 (1.26-2.08), and 2.21 (1.73-2.81) for ALT concentrations of 16-18, 19-21, 22-25, and 26-34 U/L, respectively. This relationship remained significant even among normal-weight participants who were still within the reference interval of ALT and GGT at all follow-up examinations.
Output: | 0 | 1 | NIv2 | task848_pubmedqa_classification | zs_opt | [
0.4597100615501404,
0.4109470844268799,
-0.5762382745742798,
0.39504626393318176,
0.12948346138000488,
0.2983948588371277,
0.5239040851593018,
0.34473714232444763,
0.01764029636979103,
-0.11007358133792877,
-0.4431113600730896,
-0.32361119985580444,
-1.4569519758224487,
0.13284730911254883... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Context: Pivatelli was acquired by Verona in 1950, with whom he made his Serie B debut at the age of 17, scoring his first professional goal in his second appearance with the club, in a 4–1 victory over Vicenza. The following season, he was promoted to the starting line-up, and scored a total of 25 goals in 68 games for his team during the next three seasons, also helping the struggling club avoid relegation Link Information: none Question: How many total goals did Pivatelli score for Verona over the 4 seasons he played for them?
Output: | Answer: none | 1 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
0.3169839382171631,
0.7626696825027466,
-0.7448395490646362,
0.8371129035949707,
0.1672101765871048,
0.2997279167175293,
1.0435223579406738,
1.1832196712493896,
0.9091386795043945,
-0.2635476589202881,
-0.07293980568647385,
0.24719391763210297,
-0.6485539674758911,
0.12347246706485748,
0... |
Definition: In this task, you are given a list of numbers. The list of numbers is separated with comma and inside brackets. You need to remove the maximum(the number with the largest value) and minimum(the number with the smallest value) element from the list and return the list in the same order as input. Your answer should be a list of numbers separated by comma, inside brackets.
Input: [212, 272, 69, 468, 27, 321, 344, 361, 10, 193, 457, 130, 458, 443, 191, 337, 421, 233, 355, 247]
Output: | [212, 272, 69, 27, 321, 344, 361, 193, 457, 130, 458, 443, 191, 337, 421, 233, 355, 247] | 2 | NIv2 | task1150_delete_max_min | zs_opt | [
-0.28199517726898193,
0.549892008304596,
-0.2039443850517273,
-0.3198328912258148,
-0.014832654036581516,
0.20990189909934998,
0.5543321371078491,
0.3494555652141571,
-0.4544871747493744,
0.510085940361023,
-1.0330129861831665,
0.5276291370391846,
-0.11785832792520523,
-0.20930497348308563... |
You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Let me give you an example: Statement: उत्तराखंड व झारखंड राज्यांमध्ये मुलांच्या आयांना या योजनेत समाविष्ट करून घेतलेले दिसते. तर आंध्रप्रदेश, कर्नाटक, <MASK> आणि प.बंगालमध्ये "शाळेतील बाग" योजना राबवत लागणाऱ्या अन्नातील काही भाग शाळेच्याच आवारात मुलांकडून उगवला जात आहे. तामिळनाडू मध्ये सरकारने "सामायिक डायनिंग हॉल" बांधून दिले आहेत तर गुजरातमध्ये सामाजिक संस्थांचा सहभाग वाढवण्यात आला आहे.
Option A: भारतात
Option B: पंजाब
Option C: चंडीगढ
Option D: छत्तिसगढ
The answer to this example can be: पंजाब
Here is why: The most suitable word from the given options to replace the <MASK> token is पंजाब as that state was part of the social campaign in India .
OK. solve this:
Statement: १० मे, १९३७ रोजी <MASK>मध्ये ग्रेस यांचा जन्म झाला. त्यांचे वडील लष्करी व्यवसायात होते. त्यांची रसिकता उल्लेखनीय होती. कर्नल बाग या नागपुरातील वस्तीत त्यांचे कुटुंब राहत होते. ग्रेस यांचे प्रारंभीचे जीवन कष्टमय होते. आईच्या अकाली मृत्यूमुळे विस्कळित झालेले घर त्यांना सांभाळावे लागले. नोकरी आणि शिक्षण यांच्याशी त्यांना झगडावे लागले. डॉ. लीला माटे यांच्याशी विवाह झाल्यानंतरही हा संघर्ष सुरूच राहिला. एम.ए. ची परीक्षा जवळ आलेली असताना त्यांना बसचा अपघात झाला. इ.स. १९६६ मध्ये मराठी विषयातील ना.के. बेहरे सुवर्णपदक जिंकून नागपूर विद्यापीठातून माणिक गोडघाटे एम.ए. झाले. प्लास्टर लावलेल्या हातांनी त्यांनी प्रमाणपत्र आणि सुवर्णपदक घेतले.
Option A: इचलकरंजी
Option B: नागपूर
Option C: राळेगाव
Option D: इंदूर
Answer: | नागपूर | 8 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
-0.006189896259456873,
0.7452908754348755,
-0.4746284484863281,
-0.5054383277893066,
-0.41374605894088745,
0.020071379840373993,
-0.1194978654384613,
1.1347715854644775,
-0.3990721106529236,
0.09407356381416321,
-0.2832562327384949,
0.2414533644914627,
-0.25670427083969116,
-0.159671336412... |
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 statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option .
Statement: ১লা ফেব্রুয়ারী <MASK> ভ্রমণ প্রদর্শক হিসেবে কর্মরত একজন চীনের নাগরিককে দেশে দ্বাদশ করোনার রুগী হিসেবে নিশ্চিত করা হয়। জাপানে করোনায় আক্রান্ত একজন রুগীকে দেখতে গিয়ে তিনি নিজে আক্রান্ত হয়ে পড়েন এবং ১৯শে জানুয়ারী রাজধানী সিওলের গিম্পো আন্তর্জাতিক বিমানবন্দর দিয়ে দেশে প্রবেশ করেন। ২শরা ফেব্রুয়ারী কোরিয়া রোগ নিয়ন্ত্রণ এবং প্রতিরোধ কেন্দ্র (কেসিডিসি) অতিরিক্ত তিনটি মামলা নিশ্চিত করার পরবর্তিতে আক্রান্তদের সংখ্যা মোট পনেরোতে এসে দাঁড়ায়।
Option A: সিঙ্গাপুর
Option B: ভিয়েতনাম
Option C: তাইওয়ান
Option D: জাপানে
Solution: জাপানে
Why? The most suitable word from the given options to replace the <MASK> token is জাপানে, as the statement mentions that the person came from Japan .
New input: Statement: বাংলাদেশে জঙ্গল সাফ হওয়ার মধ্য দিয়ে আসামি বানর নিশ্চিহ্ন হচ্ছে। তবে <MASK>, নেপাল, মিয়ানমারে কিছু কিছু নৃগোষ্ঠী আসামি বানর মেরে খেয়ে নেয়। এসব নৃগোষ্ঠীর বিশ্বাস আসামি বানরের দেহে ঔষধি গুণ আছে। বর্তমানে আসামি বানর আইইউসিএন লাল তালিকায় প্রায়-বিপদগ্রস্ত হিসেবে অন্তর্ভুক্তি ঘটেছে।
Option A: মিয়ানমারে
Option B: বাংলাদেশের
Option C: ভারতের
Option D: আসাম
Solution: | আসাম | 0 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | fs_opt | [
0.5070677995681763,
-0.06210075318813324,
-0.5987645387649536,
-0.22625836730003357,
0.21104398369789124,
-0.22290073335170746,
-0.28473326563835144,
0.7412186861038208,
-0.2141638547182083,
-0.13757963478565216,
-0.07246148586273193,
0.7629037499427795,
-0.24521341919898987,
0.23978793621... |
Teacher:If the emotion of happiness is present in the one of the dialogues of the conversation, then output Yes otherwise output No
Teacher: Now, understand the problem? Solve this instance: Good morning . Vane Theater , at your service . Hello . I'm thinking about watching a Chinese traditional opera with a foreign girl . What's on this weekend ? Well , there will be charity performance on Saturday night . And also , there will be a solo concert by an opera star on Sunday night . It's a good thing that I have choices here . Can you tell me about the one on Saturday ? Sure . It's to raise money for the homeless . What about the performance itself ? Oh , it's a reserved opera named ' The Monkey Creates Havoc in Heaven ' . Wow , a story about the clever Monkey King . It's a classic and children's favorite . It surely is . And the cast is really the best . Wonderful ! How much is the ticket ? The price varies according to the seats . 300 for the front , 200 for the middle , and 50 for the back . Which kind would you like ? Two for the front . One last thing , are there any English subtitles for the show ? Yes , we have subtitles both in Chinese and English on the big-screen just beside the stage . Terrific . May I stop by to get that two tickets tomorrow afternoon ? Sure . And our theater is located on Liberty Avenue , just opposite the biggest guitar store . Can I have your name ? B . S-H-I-R-L-E-Y . Got it . Thanks for calling . Bye .
Student: | Yes | 6 | NIv2 | task931_dailydialog_classification | zs_opt | [
0.38926196098327637,
0.43797993659973145,
-0.2817803621292114,
0.5584064722061157,
0.3230486512184143,
-0.15174998342990875,
0.06158380210399628,
0.9652104377746582,
0.16488048434257507,
0.43335312604904175,
0.49688592553138733,
0.21485291421413422,
-0.3511359691619873,
0.0508386604487896,... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Example input: מה מייחד את המוח האנושי?
Example output: 人の脳の何がそんなに特別なのでしょうか ？
Example explanation: The Hebrew sentence is correctly translated into Japanese. They both refer to the human brain.
Q: אני רוצה לדבר על הדרך שבה חושבים על מגמות ההתפתחות בטכנולוגיות אני קורא לזה תורת חיזוי העתיד הטכנולוגי הכללית בכל אופן תורת חיזוי בקטן
A: | ではテクノロジーの動向に関する考え方について話しましょう未来予測の大統一理論と呼んでいるものです本当は未来予測の「小さな」統一理論と呼ぶべきかもしれません | 3 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.9959441423416138,
0.34574103355407715,
-0.00975375808775425,
-0.17742657661437988,
-0.6481731534004211,
-0.18302512168884277,
0.4398377537727356,
-0.7390583157539368,
0.7366877794265747,
-0.7392997145652771,
-1.0359258651733398,
0.07781991362571716,
-0.34557509422302246,
0.8275568485260... |
Q: Given an input word generate a word that rhymes exactly with the input word. If not rhyme is found return "No"
fresh
A: | flesh | 7 | NIv2 | task183_rhyme_generation | zs_opt | [
0.7831220626831055,
1.7571485042572021,
0.22535440325737,
-0.42394909262657166,
-0.6763983964920044,
-0.2901277542114258,
0.4134224057197571,
0.6947991847991943,
-0.06006689369678497,
-0.2917717695236206,
0.1602606624364853,
-0.22932009398937225,
-0.3737425208091736,
0.40806156396865845,
... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
[EX Q]: 1, ['1235', '2725', 'v', 'u', '5523', '5353', 'C']
[EX A]: 1235
[EX Q]: 6, ['M', 'n', '5339', '8397', 'I', 'Y', 'L', '3101', '465', 'X', '5197', '6285', '1685', '2861', 'W']
[EX A]: M, n, 5339, 8397, I, Y
[EX Q]: 4, ['b', 'u', 'x', '1937', '1155', '7459', 'u', '2675']
[EX A]: | b, u, x, 1937
| 6 | NIv2 | task063_first_i_elements | fs_opt | [
-0.17810258269309998,
-0.06499157845973969,
-0.553247332572937,
-0.03183566778898239,
-0.13778722286224365,
-0.1485666185617447,
0.13296863436698914,
0.871898353099823,
-0.292261004447937,
-0.07750345021486282,
-0.7825922966003418,
-0.4866981506347656,
0.2665901780128479,
0.191457524895668... |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: ڈاکٹر ہرش وردھن نے غیر متعدی بیماریوں کے بارے میں اعلیٰ سطح کی ایک جائزہ میٹنگ کی صدارت کی
A: | डॉ. हर्ष वर्धन ने गैर-संक्रामक रोगों पर उच्चस्तरीय समीक्षा बैठक की अध्यक्षता की | 9 | NIv2 | task1054_pib_translation_urdu_hindi | zs_opt | [
0.09740927815437317,
-0.4221426248550415,
-0.06096765771508217,
-0.26373571157455444,
-0.7450939416885376,
-0.2071782499551773,
0.6850703954696655,
-0.16868776082992554,
0.12130669504404068,
-0.6566784977912903,
-0.8030859231948853,
0.5614901781082153,
-0.07118028402328491,
1.3810789585113... |
Part 1. Definition
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the blank with a question, it should have an answer from the agent in the given dialogue. Fill the gap marked with underline.
Part 2. Example
customer: Hello.
agent: Hello. How may I help you?
customer: I would like to do some changes in my existing reservation, can you please help me out?
agent: Sure, I will help you in booking. May I know your name to proceed further?
__
agent: Alexander Hernandez, regret to inform that there is no active reservation found under your name to amend.
customer: That's ok, no problem. Thank you for the information.
agent: Thank you for reaching us.
Answer: customer: Sure, myself Alexander Hernandez.
Explanation: This is pretty forward, based on the answer after the blank, the answer would be to know the name of the person, and the name is mentioned in the next dialogue to the blank
Part 3. Exercise
customer: Hello, I am Emma Mitchell.
agent: Hello, how may I assist you?
customer: Can you make a reservation from HOU to MSP?
agent: Sure, may I know your travel dates please?
customer: I am planning to start on 05/09 and return back on 05/11.
__
customer: Make sure that connection limit is 1.
agent: Sorry Emma, there are no flights available on your requested dates.
customer: Yes, you can go ahead. No issues. THank you for checking.
agent: Welcome, thank you for choosing us. Have a great day,.
customer: You are welcome.
Answer: | agent: Ok, hold on for a moment. Let me check the best flight for you. | 7 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
0.11718613654375076,
0.07607746124267578,
-0.2714402973651886,
-0.9311803579330444,
0.4929342269897461,
-0.4037728011608124,
1.2309931516647339,
0.05311845988035202,
-0.15985184907913208,
0.027005687355995178,
0.0276988185942173,
-0.38559862971305847,
-0.5457785725593567,
0.072144709527492... |
Given a sentence in French, generate a new French 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.
Si vous négligez d'aller dormir, vous devriez fermer les yeux. | Si vous vous opposez à aller dormir, vous devriez fermer les yeux. | 0 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.23219645023345947,
0.8912850022315979,
0.16655756533145905,
-0.45562636852264404,
-0.3521577715873718,
0.022229250520467758,
0.45008671283721924,
0.4169347584247589,
0.10264724493026733,
-0.4298742115497589,
-1.202695369720459,
-0.36737293004989624,
-0.9062832593917847,
0.13603428006172... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Context: Tracy didn't go home that evening and resisted Riley's attacks.
Answer: Find somewhere to go
Solution: What does Tracy need to do before this?
Why? Tracy has to resist Riley's attack and the answer is she has to find somewhere to go so the question is what does she do before this?
New input: Context: After spending two hours trying to undo a knot, Kendall finally pulled the strings together.
Answer: able to concentrate on solving complex puzzles
Solution: | How would you describe Kendall? | 0 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
0.2036370486021042,
1.1224093437194824,
0.27979493141174316,
-0.050952646881341934,
-0.09341974556446075,
-0.08704908192157745,
0.5918782949447632,
0.3072754740715027,
0.48746228218078613,
-0.0588105171918869,
-0.2573089897632599,
-0.015117546543478966,
-0.2564717233181,
0.4261884987354278... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Let me give you an example: Qui c'è la medusa mortale con le ali ad X.
The answer to this example can be: Aquí esta la medusa ala-x de la muerte.
Here is why: The Italian sentence is correctly translated into Spanish, because the meaning is preserved.
OK. solve this:
Durante gli anni di università lavoravo con il mio collega, mentore ed amico, Steve Schneider, al Centro Nazionale di Ricerca Atmosferica, sulle problematiche del riscaldamento globale.
Answer: | En mi años de estudios de graduada trabajé con mi colega, mentor y amigo, Steve Schneider, en el Centro Nacional de Investigación Atmosférica, investigando temas de cambio global. | 8 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.7502119541168213,
0.5328147411346436,
-0.9870736002922058,
-0.4416741132736206,
-0.381267786026001,
-0.9594557285308838,
0.05697951838374138,
0.9174079298973083,
0.22846518456935883,
-0.2721060514450073,
0.027622651308774948,
0.19106948375701904,
-0.3528022766113281,
0.512656569480896,
... |
Q: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[773, -536, -776, 189, -116, -463, -565, 707, -417, 100, 736, -931]
A: | [770, -540, -780, 190, -120, -460, -560, 710, -420, 100, 740, -930] | 7 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-1.287619709968567,
0.798505425453186,
-0.07595808804035187,
-0.27928176522254944,
-0.34554585814476013,
-0.4259844422340393,
0.8096390962600708,
-0.48336267471313477,
-0.1817958950996399,
0.2378021478652954,
-0.4227488338947296,
0.06962043046951294,
-0.6231001615524292,
0.4843292832374573... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Example: Sentence 1: Next to the MGM Grand you will find M and M World. Sentence 2: The candy has many fans who love its attractions. Choices: 1. FACE-TO-FACE, 2. GOVERNMENT, 3. LETTERS, 4. 9/11, 5. SLATE, 6. TELEPHONE, 7. TRAVEL, 8. VERBATIM, 9. OUP, 10. FICTION.
Output: 1
The places are specifically pointed out and referred to as attractions.
New input case for you: Sentence 1: In the Nixon administration, John Connally was not civil in the second sense. Sentence 2: John Connally maintained a strict civility in every relation. Choices: 1. FACE-TO-FACE, 2. GOVERNMENT, 3. LETTERS, 4. 9/11, 5. SLATE, 6. TELEPHONE, 7. TRAVEL, 8. VERBATIM, 9. OUP, 10. FICTION.
Output: | 4 | 1 | NIv2 | task198_mnli_domain_classification | fs_opt | [
-0.21600762009620667,
0.20745901763439178,
0.4787294864654541,
-0.11166150867938995,
0.26367560029029846,
-0.1854834258556366,
-0.23919937014579773,
0.936618447303772,
-0.35861554741859436,
-0.10004875063896179,
-0.39560645818710327,
-0.257168710231781,
-0.022136546671390533,
-0.7984254360... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Q: Cóż, w moim świecie jest gumową kaczką.
A: | Well, in my world, this is a rubber duck. | 4 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.6567921042442322,
1.3888211250305176,
0.28055843710899353,
-0.9676831364631653,
-0.06544312089681625,
-1.3313219547271729,
-0.7997640371322632,
-0.3266536593437195,
-0.4470268785953522,
-0.3682877719402313,
-0.1253262609243393,
0.4394906759262085,
-0.41731375455856323,
-0.07288103550672... |
Q: A text is given in Tamil. Translate it from the Tamil language to the Urdu language. The translation must not omit or add information to the original sentence.
நாட்டில் உள்ள 91 முக்கிய அணைகளின் நீர் இருப்பு ஒரு சதவீதம் அளவுக்கு சரிவு
A: | ملک کے91 بڑے آبی ذخائر کی سطح آب میں ایک فیصدکمی | 7 | NIv2 | task1035_pib_translation_tamil_urdu | zs_opt | [
0.294882595539093,
1.0947926044464111,
0.25177842378616333,
-1.0534875392913818,
-0.14934439957141876,
-0.8906338214874268,
0.19967120885849,
0.5286735892295837,
-0.26387688517570496,
0.32326972484588623,
-0.2327437698841095,
-0.8706584572792053,
-0.6086834073066711,
0.05688214302062988,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
Q: وفي السنوات الاربعة و الخمس الماضية بدأنا نجد الكثير من الدببة النافقة والتي تملأ المكان
A: | E nos últimos catro ou cinco anos, atopamos osos mortos por todas partes. | 4 | NIv2 | task1105_ted_translation_ar_gl | zs_opt | [
-0.5689173936843872,
0.9466168284416199,
-0.33759140968322754,
-0.40466073155403137,
-0.4787641167640686,
0.04136534035205841,
0.03309326618909836,
0.2577625811100006,
0.2594151198863983,
-0.09511684626340866,
-0.4934419095516205,
0.028450051322579384,
-1.1070276498794556,
0.04798608273267... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX also loved ___<sep>Tail: becomes dehydrated
A: | Yes | 4 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.4787406325340271,
0.3213757872581482,
0.2575814425945282,
-0.42539703845977783,
-0.7045841217041016,
-0.7973455786705017,
1.3571538925170898,
0.18367056548595428,
-0.6596797108650208,
-0.4391065835952759,
-0.6128062605857849,
-0.523241400718689,
-0.849285364151001,
0.3029026389122009,
... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: Zacząłem od modeli i dużo o nich powiedziałem.
Student: | خیلی درباره الگوها صحبت کرده ام. شروع این سخنرانی ام با الگوها بود. | 6 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
-0.29302978515625,
0.43574059009552,
0.1350444257259369,
-0.41353705525398254,
-0.7108972072601318,
-0.3434087038040161,
0.5522368550300598,
0.45171472430229187,
0.4893273711204529,
-0.008080116473138332,
-0.4769880175590515,
0.1330551952123642,
-0.39684373140335083,
0.009131894446909428,
... |
Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head includes an event or an action in the Tail or not. This happens when the Tail denotes a step within the larger head event. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Teacher: Now, understand the problem? Solve this instance: Head: receive degree<sep>Tail: proceed onto next task
Student: | Yes | 6 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.0679580420255661,
0.014578101225197315,
0.3450782895088196,
-0.46039339900016785,
-0.5775676965713501,
-0.7540386319160461,
0.9938374161720276,
0.5119040012359619,
-0.4703325033187866,
-0.3547787666320801,
-0.18790876865386963,
-0.29086846113204956,
-0.7390853762626648,
0.316378951072692... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
So both of these objects have six symmetries.
Ognuno di questi oggetti ha sei simmetrie.
The people of Atlanta fell in love with a vision that was better than what they saw through their car windshields, and the people of Atlanta made it happen, and I guarantee you we would not be building it otherwise.
La popolazione di Atlanta si è innamorata di una visione che era meglio di quello che potevano vedere attraverso i parabrezza delle loro auto, e le persone di Atlanta l'hanno fato succedere, e vi garantisco che diversamente non l'avremmo costruita.
And before I worked with the kids, anything that I did with them, or anything that I did with myself, was supposed to be perfect, ideal, optimal, but after working with them for some time, I discovered the great virtues of empathy and flexibility and being able to start with some vision, and if the vision doesn't work, well nothing happened.
| Prima che iniziassi a lavorare con questi ragazzi, qualunque cosa facessi con loro, o da solo, doveva risultare perfetta, ideale, ottimale; ma dopo aver lavorato un po 'con loro appresi le immense virtù dell'empatia, della flessibilità, imparai che si inizia con un piano e che se poi questo piano non funziona, non è un dramma.
| 0 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
0.3708275556564331,
0.5180520415306091,
0.8138483762741089,
-0.13615071773529053,
-0.09079956263303757,
-0.46097332239151,
0.16766507923603058,
0.8187901973724365,
0.19087021052837372,
-0.029047386720776558,
0.23535987734794617,
-0.023956794291734695,
-0.4133762717247009,
0.421579122543334... |
Definition: In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Input: That is awesome. Thank you for your help.
Output: | user | 2 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
-0.3949403762817383,
0.3486761152744293,
-0.20125114917755127,
-0.6605050563812256,
-0.4374821186065674,
0.31981247663497925,
0.9846416711807251,
-0.732354462146759,
0.968149721622467,
-0.4806813597679138,
-0.5948682427406311,
-0.33081725239753723,
-0.19866633415222168,
0.06484261155128479... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
See one example below:
Problem: Brindo soluciones. Estoy muy feliz.
Solution: Udostępniam rozwiązanie. Jestem bardzo szczęśliwy.
Explanation: The Spanish sentence is correctly translated into Polish, because the meaning is preserved.
Problem: Ellos ilustran los éxitos de la ayuda: la erradicación de la viruela, y la distribución de decenas de millones de redes antimosquitos contra la malaria y retrovirales.
Solution: | Wskazują na sukcesy pomocy: zwalczenie ospy wietrznej czy rozdanie kilkudziesięciu milionów moskitier i leków przeciw HIV. | 4 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-0.7227970361709595,
0.9511132836341858,
-0.5226558446884155,
-0.5357457399368286,
-0.2582358419895172,
-0.5551963448524475,
1.1700934171676636,
0.17126257717609406,
0.0929599404335022,
-0.36084625124931335,
-0.8001822233200073,
1.2179635763168335,
-0.3758174777030945,
0.14261789619922638,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
奇跡のように思われましたそれ以来私たちは奇跡の薬による黄金期の中で生き続けてきました
Output: | Parecía un milagre, e dende entón, estamos vivindo na época dourada dos medicamentos milagre. | 1 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-0.1533420979976654,
0.9713475704193115,
-0.1144804134964943,
-1.0587408542633057,
-0.06310893595218658,
-1.337792158126831,
0.15733593702316284,
0.6907401084899902,
-0.3917005956172943,
-0.3040498197078705,
-0.5108574032783508,
0.046754658222198486,
-1.2259204387664795,
0.2562139630317688... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Q: Context: Jordan went to the local electronics store to shop for a new phone.
Question: What will Jordan want to do next?
Options: (A) needs a new phone because their old one doesn't work (B) select a phone they like (C) needs a new phone because they don't like their old one
A: | C | 4 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
0.07727552205324173,
0.5099655985832214,
-0.6201238632202148,
-0.007860038429498672,
-0.03831271827220917,
-0.15106746554374695,
0.6461105346679688,
0.44415539503097534,
-0.10378444194793701,
0.41910266876220703,
-0.5514020919799805,
0.10740053653717041,
-0.2772093415260315,
-0.19918797910... |
Detailed Instructions: In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
Q: Dystheists may themselves be theists or atheists, and in the case of either, concerning the nature of the God of Abrahamic faiths, will assert that God is not good, and is possibly, although not necessarily, malevolent, particularly (but not exclusively) to those who do not wish to follow that faith. For example, in _his_ Sinners in the Hands of an Angry God (1741), Jonathan Edwards, a devout theist, describes a God full of vengeful rage and contempt, seemingly different from one with Christ-like omnibenevolence. <sep>, Pronoun: his
A: | Jonathan Edwards | 9 | NIv2 | task330_gap_answer_generation | zs_opt | [
-0.07840526103973389,
0.8027477264404297,
0.27246934175491333,
-0.3200698494911194,
-0.864039421081543,
-1.170692801475525,
0.8599562048912048,
0.08470019698143005,
0.23331451416015625,
0.43767619132995605,
-0.30927038192749023,
1.099445104598999,
-0.8545138835906982,
-0.9772250652313232,
... |
TASK DEFINITION: Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
PROBLEM: English sentence: 26:1 “And when you will have entered into the land which the Lord your God will give to you to possess, and when you will have obtained it and are living within it:
SOLUTION: 26:1 "Oo markii aad soo gashay doonaa dalka Rabbiga Ilaahiinna ahu uu u siin doonaa inaad hantidaan, iyo marka aad u heli doonaa oo ku nool yihiin waxaa gudahood:
PROBLEM: English sentence: Mr Ahmed Fahad Dahir, the deputy director of Somali Intelligence Agency, is in possession of a Kenyan passport C024542 as well as an identity card No. 22847167 whose acquisition is now the subject of probe by the investigative agencies. SOMALI ID
SOLUTION: Fahad Yaasiin ayaa heysta baasaboor Kenyan ah oo nambarkiisa yahayC024542 iyo sidoo kale kaarka aqoonsi muwaadinimada oo nambarkiisa 28847167, taasoo ah mid raad raac u ah baaritaanka Hey’adaha
PROBLEM: English sentence: Then in all sincerity he proclaimed, "I bear witness that there is no god except Allah, and that you are His Messenger."
SOLUTION: | Markaas daacad dhan wuu nasiyey, "waxaan marag ka nahay jiro Eebe mooyee Ilaah kale jirin, iyo in aad tahay, rasuulkiisii."
| 8 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
-0.01182152796536684,
0.2913517951965332,
-0.31902265548706055,
-0.9452106952667236,
-0.35216856002807617,
-1.0060975551605225,
0.6843497157096863,
0.3117898106575012,
-0.13768300414085388,
0.14363707602024078,
-0.12517014145851135,
0.3974536657333374,
-0.7457749247550964,
0.00341907260008... |
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: As well as similarities as regards the type of buildings used, there were similarities in the subject matter of the plays: Spanish literature was translated into English in Shakespeare*s time, and in 1613 his company mounted a lost play called Cardenio which appears to have been based on an episode in Don Quixote. Although Shakespeare was not translated into Spanish until the eighteenth century, _his_ work has since been performed in the corrales; for example in 2016, which saw the quatercentenary of the deaths of Cervantes and Shakespeare, there were Shakespearean productions in Amalgro and Alcal* de Henares. <sep>, Pronoun: his
A: | Don Quixote | 3 | NIv2 | task331_gap_incorrect_answer_generation | fs_opt | [
-0.0934942364692688,
1.0847969055175781,
0.1446746289730072,
-0.16939374804496765,
0.25512340664863586,
-0.29668861627578735,
1.0175056457519531,
0.9075888395309448,
0.37909215688705444,
-0.2819053530693054,
-0.11841818690299988,
0.9556256532669067,
-1.062084436416626,
-0.08362109959125519... |
Q: Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
To do so: 1 Get a spray bottle and fill it with conditioner and distilled water (tap water if distilled isn’t available). 2 Mist hair lightly with conditioner mixture. 3 Finger detangle and place hair into 5×5 inch sections. 4 Spray a section, and with an extra wide tooth comb, gently from ends to root, comb ridding the section of all loose hair. Shampoo & Condition. After prepoo, proceed to shampooing. At this point, you want to use a clarifying shampoo, but one that doesn’t dry the hair out. (Shampoo secret: If you have a shampoo that clarifies to the point of drying out the hair, use it equal parts with another moisturizing shampoo or add a little conditioner to it. All you have is some old virgin hair you wore a few months ago or the hair that’s currently installed now. Ladies, we are discussing “How to Bring that Old Virgin Hair Back!” Yes it is possible to bring it back, but you are going to have to do some work. First you will need to wash and deep condition the hair. In Growing Long Natural Hair, Natural Hair Care, Natural Hair Styles, Protective Hairstyles, Weave/Extension On 05/26/15 While protective styling seems to be growing in popularity, and is a great way to minimize manipulation of strands and retain length, they can be damaging if not maintained properly. (Human hair is made of the same properties as out own hair, so it made sense to treat it the same way I would my natural hair--and don't laught, but I even use a reconstructor on my weave!) I'm going on a month with weave and I'm thinking should I incorporate deep conditioning (with heat) and even a MILD reconstructor into my regimen for the cornrowed hair underneath. I just hate going this long without one . A conflict of course is being able to rinse it out THOROUGHLY from the cornrows. How to Bring that Old Virgin Hair Back! 1 Don’t worry to much what the hair looks like when dry. Have your hair installed and then get to work! 2 Once your hair is installed, it will need to be blow dried with a paddle brush. Paddle brush blow dry for about 15 mins. Before you get a sew-in, make sure to deep condition the weave. Begin by washing it in warm water. Apply a deep conditioner to the weave from roots to ends. And then place the hair inside a plastic cap or bag. After 10-20 minutes, rinse off any excess conditioner and air dry. To deep condition sewn-in weave, you again want to wash the weave and braids with warm water. If there is product build-up on the braids, use a clarifying shampoo. Apply the deep conditioner and place a plastic cap over your head with all the weave inside. PrincessM, I have often wondered this myself. I wasn't even sure if you could do the same with braids or not. Currently I am also going on a month with a sewn-in weave and I didn't what deep conditioner I should use. How I deep condition my virgin hair part 2/2 - Duration: 4:52. Camille Rhone 21,283 views Love your avi BTW yes you should deep condition at least once a week. Will keep your own hair nice and soft otherwise it may get dry and brittle. Just massage very slowly in between the tracks. Do it when you are also deep conditioning your weave and then leave in for about 5-7 minutes (massage your scalp during this period its great for hair growth as it stimulates blood supply into your hair follicles) and then rinse it out very thoroughly. Query: how long to deep condition weave
A: | You should deep condition weave for 10 to 20 minutes. | 7 | NIv2 | task870_msmarco_answer_generation | zs_opt | [
1.1129581928253174,
0.48194825649261475,
-0.42572933435440063,
-0.32387250661849976,
0.4058126211166382,
-0.635511577129364,
0.6464776992797852,
1.8584376573562622,
-0.21247498691082,
0.3592764735221863,
0.20132219791412354,
-0.17064987123012543,
-0.25602903962135315,
-0.206191748380661,
... |
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: ['s', '9663', 'Y', 'D', '7901', 'M', 'f', 'l', '7879', '2059', '7629', 'H', 'k', '2499', '763', '313', 'h', '6203', 'N', '2695', 'X', 'L', '9779', '891', 'o', '8593', 'q']
| Solution: s, Y, D, M, f, l, H, k, h, N, X, L, o, q | 5 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | fs_opt | [
-0.25043660402297974,
0.6006068587303162,
-0.46581393480300903,
-0.551188051700592,
-0.15937423706054688,
-0.6273265480995178,
0.4255889654159546,
-0.3119546175003052,
0.05987929925322533,
0.14038054645061493,
-0.7598378658294678,
-0.2355419248342514,
0.34881460666656494,
0.056429650634527... |
Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer with words other than the two options, and do not answer with option titles(e.g. "option1" or "1" are not acceptable answers.)
Input: Passage: After I finished washing all the dishes I had to empty the kitchen sink . The first thing to do was to carefully put away all the knives . One of them had more dirt on it still so I had to wash it again . Then I put away the plates and the bowels . Soon I was left with some pots and pans to put away . When I finished with all of that I let the water drain from the sink . I wanted it to look nice and clean just like all the dishes . After emptying out the sink I wiped down the edges with a dry towel and cleaned the faucet so it was n't covered in water . I enjoy having it look nice . Question: What was cleaned away? Option1: towel Option2: dishes
Output: | dishes | 3 | NIv2 | task165_mcscript_question_answering_commonsense | zs_opt | [
0.39963310956954956,
0.5846218466758728,
-0.5876258611679077,
0.34937453269958496,
0.051913730800151825,
-0.3911706209182739,
0.14092102646827698,
1.1730947494506836,
-0.4293425679206848,
0.6627215147018433,
0.3716568052768707,
0.08519501984119415,
-0.7902057766914368,
-0.4833306074142456,... |
In this task, you are given a hateful post in Spanish from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Example: Post: @Darkeph Ella es más bonita, tú eres más perra.
Example solution: Individual
Example explanation: This post should be classified as individual because it is hateful towards the person that this post replies to.
Problem: Post: Nacho pedazo de negro indocumentado
| Solution: Individual | 5 | NIv2 | task338_hateeval_classification_individual_es | fs_opt | [
-0.8360390663146973,
0.031728241592645645,
0.7151654958724976,
-0.15593978762626648,
-0.3975088596343994,
-0.7545939087867737,
0.7985401153564453,
0.8463811278343201,
-0.3404504060745239,
0.03933486342430115,
-0.6189662218093872,
0.10785576701164246,
-0.4872906506061554,
-0.567727088928222... |
In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
[Q]: Passage: Joséphine-Éléonore-Marie-Pauline de Galard de Brassac de Béarn (1825–1860) married Albert de Broglie on 18 June 1845, and they had five sons together. Although not high royalty, on the occasion of their marriage, they styled themselves Prince and Princesse respectively. Pauline was a highly intelligent and religious woman, who was well read and wrote a number of texts in her lifetime. Her shyness was well known; she was widely considered strikingly beautiful and charming, but those around her would often avoid eye contact so as not to embarrass her. Albert was devoted to his wife, and commissioned the painting after being impressed by Ingres' 1845 portrait of his sister, the Comtesse d'Haussonville.
Albert approached Ingres around 1850 to undertake the portrait. Ingres dined with the de Broglie family in January 1850, and according to one eye witness, "seemed to be very happy with his model."Although Ingres' main source of income came from portraiture, it distracted from his main interest in history painting, which early in his career, was far less lucrative. He found acclaim in the 1840s, when he became successful enough to no longer depend on commissions. This painting was Ingres' second-last female portrait, and final society portrait.Influenced by the working methods of Jacques-Louis David, Ingres began with a number of nude preparatory sketches, for which he employed professional models. He built up a picture of the sitter's underlying anatomical structure, as seen in the Musée Bonnat study, before deciding on how to build the lavish costume and accessories. Although there is no surviving record of the commissions, and the exact sequence of events is uncertain, the sketches can be dated from 1850, the year the style of her evening dress came into fashion. Ingres signed and dated the final picture at the left center "J. INGRES. pit 1853".Pauline died in 1860 aged 35 from tuberculosis. After her death, Albert published three volumes of her essays on religious history. Albert (who in 1873 became the 28th Prime Minister of France) lived until 1901, but was heartbroken and did not remarry. He kept her portrait for the remainder of his life draped in fabric and hidden behind a velvet curtain, only lending it to select exhibitions. After his own death, the painting passed within the family until 1958 when it was sold to the Metropolitan Museum of Art via the banker and art collector Robert Lehman, and is today held in the Lehman Wing. The family kept most of the jewelry and accessories seen in the painting, although the marabou feathers were sold to the Costume Institute of the Metropolitan Museum.
Question: What is the full name of the person who bought the portrait of the wife of the man who was heartbroken and did not remarry?
[A]: Robert Lehman.
[Q]: Passage: The album was recorded in Los Angeles, California with Reign in Blood producer Rick Rubin. PopMatters reviewer Adrien Begrand observed that Rubin's production "shoves [Dave] Lombardo's drumming right up front in the mix". Guitarist Jeff Hanneman has since said that South of Heaven was the only album the band members discussed before writing the music. Aware that they "couldn't top Reign in Blood", and that whatever they recorded would be "compared to that album", he believed they "had to slow down", something Slayer had never done on albums before, or since. Guitarist Kerry King cited the need to "keep people guessing" as another reason for the musical shift. "In order to contrast the aggressive assault put forth on Reign in Blood, Slayer consciously slowed down the tempo of the album as a whole", according to Slayer's official biography. "They also added elements like undistorted guitars and toned-down vocal styles not heard on previous albums."King has since been critical of his performance, which he describes as his "most lackluster". King attributes this to the fact he had recently married, and moved to Phoenix, Arizona. Describing himself as "probably the odd man out at that point", he stated he "didn't participate as much because of that". Hanneman said: "We go through dry spells sometimes, but the good thing about having two guitar players that can write music is that you are never gonna go without. I guess at that time, Kerry was hitting a dry spell." King has also been critical of the album in general, describing it as one of his least favorite Slayer albums. He feels vocalist Tom Araya moved too far away from his regular vocal style, and "added too much singing". Drummer Dave Lombardo has since observed: "There was fire on all the records, but it started dimming when South of Heaven came into the picture. And that's me personally. Again, I was probably wanting something else."Judas Priest's "Dissident Aggressor" is the first cover version to appear on a Slayer studio album. The song was chosen due to its war-themed lyrics. Hanneman described the track as "more just like one of those odd songs that a lot of people didn't know, but it was a favorite of Kerry and I, so we just picked that one". Meanwhile, "Cleanse the Soul" has been heavily criticized by King who said that he hates the track: "That's one of the black marks in our history, in my book. I just fucking think it's horrible. [Laughs] I hate the opening riff. It's what we call a 'happy riff.' It's just like 'la-lala-la-la-la.' I can't see myself playing it, but after that, where it gets heavier, I like that section. If we ever did a medley, I'd put part of that in there." The Slayer boxset Soundtrack to the Apocalypse featured, along with four songs of the album, an early version of the title track, recorded at Hanneman's home.
Question: What is the full name of the person that felt vocalist Tom Araya moved too far away from his regular vocal style?
[A]: Kerry King.
[Q]: Passage: Nicolas Rolin was appointed Chancellor of Burgundy by Philip the Good in 1422, a position he held for the next 33 years. His tenure with the duke made him a wealthy man, and he donated a large portion of his fortune for the foundation of the Hôtel-Dieu in Beaune. It is not known why he decided to build in Beaune rather than in his birthplace of Autun. He may have chosen Beaune because it lacked a hospital and an outbreak of the plague decimated the population between 1438 and 1440. Furthermore, when in 1435 the Treaty of Arras failed to bring a cessation to the longstanding hostility and animosity between Burgundy and France, the town suffered brutal ravages and famine from écorcheurs (marauding bands) who roamed the countryside during the late 1430s and early 1440s. The hospice was built after Rolin gained permission from Pope Eugene IV in 1441, and it was eventually consecrated on 31 December 1452. In conjunction, Rolin established the religious order of "Les sœurs hospitalières de Beaune". Rolin dedicated the hospice to St Anthony Abbot, who was commonly associated with sickness and healing during the Middle Ages.
In the hospice's founding charter, signed in August 1443, Rolin wrote that "disregarding all human concerns and in the interest of my salvation, desiring by a favourable trade to exchange for celestial goods temporal ones, that I might from divine goodness render those goods which are perishable for ones which are eternal ... in gratitude for the goods which the Lord, source of all wealth, has heaped upon me, from now on and for always, I found a hospital." In the late 1450s, only a few years before he died, he added a provision to the hospital charter stipulating that the Mass for the Dead be offered twice daily. Rolin's wife, Guigone de Salins, played a major role in the foundation, as probably did his nephew Jan Rolin. De Salins lived and served at the hospice until her own death in 1470.Documents regarding the artwork's commissioning survive and, unusually for a Netherlandish altarpiece, the artist, patron, place of installation and date of completion are all known. It was intended as the centrepiece for the chapel, and Rolin approached van der Weyden around 1443, when the hospital was founded. The altarpiece was ready by 1451, the year the chapel was consecrated. Painted in van der Weyden's Brussels workshop – most likely with the aid of apprentices – the completed panels were then transported to the hospice. The altarpiece is first mentioned in a 1501 inventory, when it was positioned on the high altar.
Question: What suffered brutal ravages and famine?
[A]: | Burgundy.
| 5 | NIv2 | task002_quoref_answer_generation | fs_opt | [
0.5988089442253113,
0.6008342504501343,
-1.2900463342666626,
0.3461526334285736,
0.9568375945091248,
-0.29297295212745667,
0.84256911277771,
0.5078260898590088,
-0.2277744710445404,
-0.11007457226514816,
-0.41513749957084656,
1.1931617259979248,
-0.6038261651992798,
0.12129020690917969,
... |
In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label the instances as "ironic" or "not" based on your judgment. Note that URLs in the text have been replaced with [Link].
If this is love i don't wanna be loved , You pollute the room with your filthy tongue #getscared | not | 0 | NIv2 | task386_semeval_2018_task3_irony_detection | zs_opt | [
-1.322021245956421,
0.9218093752861023,
0.7735288739204407,
0.04777452349662781,
-0.6394516825675964,
-0.0013409529346972704,
0.5152484178543091,
0.05488335341215134,
0.36590656638145447,
-0.09478908777236938,
-0.43910521268844604,
-0.05465922877192497,
-0.6914485096931458,
-0.337153255939... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Finnish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Finnish language. 2) Also names ,dates and places should be preserved it should not get translated.
Q: "No--or, let me see--why, yes.
A: | "Ei -- odottakaa, niin mietin. | 4 | NIv2 | task1650_opus_books_en-fi_translation | zs_opt | [
-0.8223327994346619,
0.5554531812667847,
0.3507167100906372,
-0.14131706953048706,
-0.041218120604753494,
-0.4982091188430786,
0.8057883977890015,
0.2724460959434509,
-0.2606176435947418,
-0.5741382241249084,
0.09996664524078369,
0.903659462928772,
-1.6207802295684814,
0.5946584343910217,
... |
You will be given a definition of a task first, then some input of the task.
In this task, given a sentence in the Vietnamese language, your task is to convert it into the English language.
Tổng thống Bongo từng là Bộ trưởng Quốc phòng trong Chính phủ trước đây của cha mình, Omar Bongo, người đã qua đời vào tháng Sáu sau khi cầm quyền trong bốn mươi năm.
Output: | President Bongo was defense minister in the previous government of his father, Omar Bongo, who died in June after ruling for forty years. | 1 | NIv2 | task536_alt_translation_vi_en | zs_opt | [
0.051757995039224625,
0.2265527844429016,
-0.06348450481891632,
-0.581151008605957,
0.037068817764520645,
-1.0804429054260254,
1.1725234985351562,
0.4454761743545532,
-0.01575894095003605,
-0.11136990040540695,
0.19118699431419373,
0.19211342930793762,
-0.508897066116333,
0.208918690681457... |
Part 1. Definition
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Part 2. Example
English: Details were given by the UK Transport Secretary, Ruth Kelly, in the House of Commons at 1730 UTC yesterday.
Hindi: कल ब्रिटेन के परिवहन सचिव रूथ केली द्वारा 1730 UTC पर हाउस ऑफ़ कॉमन्स में विवरण दिए गए।
Answer: Yes
Explanation: The converted Hindi 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.
Part 3. Exercise
English: The Louisiana Supreme Court defended Kennedy's sentence, saying that "short of first-degree murder, we can think of no other non-homicide crime more deserving" of the death penalty.
Hindi: लुइसियाना सुप्रीम कोर्ट ने कैनेडी की सजा का बचाव करते हुए कहा कि "प्रथम श्रेणी की हत्या से कम, हम मौत की सजा के बिना किसी अन्य गैर-हत्या के अपराध के अधिक योग्य नहीं सोच सकते।"
Answer: | Yes | 7 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.16843554377555847,
-0.06998072564601898,
0.39320069551467896,
0.1590055525302887,
0.4384053349494934,
-0.7043769359588623,
0.5803468227386475,
0.7506828904151917,
-0.8682457804679871,
-0.05802685767412186,
-0.23491491377353668,
0.4229338765144348,
-0.25734227895736694,
0.432058930397033... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
What is the part-of-speech tag of the word "by" in the following question: What was the year of birth of the player drafted by the Baltimore Colts from Mississippi State in the 1983 NFL Draft ? | NNP | 0 | NIv2 | task347_hybridqa_incorrect_answer_generation | zs_opt | [
0.18399424850940704,
0.12792256474494934,
-0.636397123336792,
0.4626888036727905,
0.05739424377679825,
-0.6297354698181152,
0.76275634765625,
0.6507351398468018,
-0.7801918983459473,
-0.06889531761407852,
-0.3021644651889801,
0.4158100485801697,
-0.06462069600820541,
0.22033166885375977,
... |
You will be given a definition of a task first, then some input of the task.
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sentences that contain no information that is necessary to answer the question). Sort the sentence numbers in an increasing order (i.e., '1, 2', instead of '2, 1'). Your answer should not contain anything than the sentence numbers separated by a comma (e.g. '1, 2, 3, 4'). The given question requires more than one sentence to answer. So, your answer must contain at least one comma (", ").
Paragraph- Sent 1: The bar was manned by an expensive humanoid robot.
Sent 2: It turned toward Sarah's wave and acknowledged her with a nod, moments later setting a fluted glass of sparkling liquid in front of her.
Sent 3: I marveled at the robot's smoothness and coordination.
Sent 4: Clearly, it was a high-end model.
Sent 5: Sarah transferred the glass to my free hand and pulled me away from the bar for more introductions, with Alexis trailing after us.
Sent 6: I spent the evening listening, mostly.
Sent 7: Listening and stuffing my face with all the bits of fine food provided.
Sent 8: No one minded; Sarah's inner circle was content to fill our circle of couches with plenty of chatter.
Sent 9: Ray, a plump man who was grey where he wasn't bald.
Sent 10: Zheng, short and dark and lean, with a very intense gaze.
Sent 11: He made me a little uncomfortable.
Sent 12: Kishori, petite, her hair strung out in a series of braids that reached nearly to her waist.
Sent 13: I categorized them based on their appearances, hoping I'd be able to pick them out of the crowd again later.
Sent 14: Most of their chatter was meaningless to me—stories of day-to-day activities, how so-and-so had been seen in so-and-so's table at lunch and my wasn't that a surprise, and why hadn't the chef concocted this delectable a selection of appetizers for the dance the other night, but of course those rolled meat pastries reminded one of the pastries back on Earth, didn't they, and this was somehow an interesting fact.
Sent 15: After the first half-hour, I stopped expending effort to keep names and stories and gossip straight.
Sent 16: I wasn't learning anything useful.
Sent 17: I could have started asking questions, but I wanted to get my bearings first.
Sent 18: Tonight was for observation.
Sent 19: I didn't bother trying to seek out a different group of potentially more interesting people, though.
Sent 20: They all looked the same: clusters of social butterflies surrounded by the less apt, the hangers-on, the circle with whom the gossip was shared.
Question: Who did Sarah introduce me to?.
Output: | 9, 10, 12. | 1 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.11916898190975189,
0.5306193828582764,
-0.15928047895431519,
-0.07156302779912949,
0.1500467211008072,
-0.3331248164176941,
0.7277419567108154,
0.8543251156806946,
0.21747058629989624,
0.12177754193544388,
-0.546859622001648,
0.2470056116580963,
-0.1868409812450409,
-0.1837874948978424,
... |
Given an English sentence, convert it into the french language.
Example Input: The royal family used the palace as a base for numerous recreational and sporting activities , and the king sometimes also held government meetings at the property .
Example Output: La famille royale utilisa le palais comme base pour un grand nombre d' activités de loisir et sportives , et le roi tint parfois des réunions du gouvernement dans la propriété .
Example Input: Writing two decades after the events , Matthew Paris , a St Albans chronicler of the early thirteenth century , claims that , in desperation , John sent envoys to al-Nâsir asking for his help .
Example Output: En écrivant deux décennies après les événements , Matthew Paris , chroniqueur de St Albans du début du XIIIe siècle , prétend que , désespéré , Jean envoya des émissaires à al-Nâsir pour demander son aide .
Example Input: In 2005 , after the tsunami which affected the countries bordering the Indian Ocean , the Paris Club decided to temporarily suspend some of repayments of affected countries .
Example Output: | De même en 2005 , après le tsunami qui affecta les pays riverains de l' océan Indien , le club de Paris décida de suspendre temporairement quelques-uns des remboursements des pays affectés .
| 3 | NIv2 | task644_refresd_translation | fs_opt | [
0.2634178102016449,
0.5313090682029724,
-0.586692214012146,
0.3171611726284027,
0.4229746162891388,
-0.7754358649253845,
0.23189586400985718,
-0.026481524109840393,
-0.6137979030609131,
0.10370003432035446,
-0.29382508993148804,
0.9688445329666138,
-0.3293405771255493,
-0.5766768455505371,... |
You are given a list of queries separated by new line. Your job is to answer with the query that is the most well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Input: Consider Input: What is the holidays of judaism ?
What are the steps to folding a flag ?
How long does it take for your skin to peel when your deseased ?
What is the predatorprey relationship of buffalo ?
Output: What are the steps to folding a flag ?
Input: Consider Input: How can you tell am pregent ?
How did cristoper columbus die ?
Otto hahn contribution to the atom ?
What is the value of a 1985 porcelain cabbage patch kid doll with birth certificate and box still in plastic ?
Output: What is the value of a 1985 porcelain cabbage patch kid doll with birth certificate and box still in plastic ?
Input: Consider Input: Can you catch hemophilia ?
When and were was edward hargraves born ?
What is the plan that show how money will be spend ?
What stadium is the boston celetics ?
| Output: Can you catch hemophilia ?
| 2 | NIv2 | task675_google_wellformed_query_sentence_generation | fs_opt | [
0.47339481115341187,
0.12884831428527832,
-0.900140643119812,
0.17962217330932617,
-0.27967584133148193,
-0.4425686001777649,
0.332669198513031,
0.11651015281677246,
0.2656702995300293,
0.0842987447977066,
-0.3707261383533478,
0.4324014186859131,
-0.4150524139404297,
-0.26752549409866333,
... |
Part 1. Definition
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
Part 2. Example
ఇల్లు అందంగా ఉంది
Answer: Telugu
Explanation: The language is Telugu so it is correct.
Part 3. Exercise
Pipe Clamp With M8 Nut & Rubber
Answer: | English | 7 | NIv2 | task1618_cc_alligned_classify_tel_eng | fs_opt | [
-0.31969255208969116,
1.193049669265747,
0.2866533100605011,
-0.21048837900161743,
0.16086415946483612,
-1.0274860858917236,
-0.14726734161376953,
0.1648353785276413,
-0.24051924049854279,
-0.10433002561330795,
-0.7895426750183105,
0.031008977442979813,
-0.7522399425506592,
-0.321418672800... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
diwali, holi, eid, Christmas, dashera, durga pooja, maha shivratri, are prime festivals
Output: | English | 1 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
0.03370409458875656,
0.21367846429347992,
0.45255500078201294,
0.31301185488700867,
-0.3099944591522217,
-0.4829036593437195,
-0.002627104055136442,
0.6313962936401367,
-0.23149773478507996,
-0.34060633182525635,
-0.25161680579185486,
-0.4000111222267151,
0.23052677512168884,
-0.1988403201... |
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
One example is below.
Q: [1,3,5]
A: 3.000
Rationale: The mean of the input list is (1+3+5)/3, which equals 3. This is a good example.
Q: [58.045, -76.66]
A: | -9.307 | 9 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.22840173542499542,
0.35296428203582764,
-1.124812126159668,
-1.2490403652191162,
0.022330913692712784,
0.13042011857032776,
0.8063997030258179,
0.05237193405628204,
0.10547295212745667,
-0.011616142466664314,
-1.0779643058776855,
0.7137096524238586,
-0.5814046263694763,
0.16135855019092... |
TASK DEFINITION: In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that section, otherwise answer with "False"
PROBLEM: Review: Great book...really many tasty recipes are there in this book..which keeps you fit and healthy..I like this helpful guide very much..author explained very well..highly recommended
Rating: 1
SOLUTION: False
PROBLEM: Review: These fairy lights first appeared to be just what I wanted, but as soon as I VERY CAREFULLY began to unwind the string from the pallet, the lights stopped working. There was a break in the copper wire between the first set of lights. Disappointed.
Rating: 1
SOLUTION: True
PROBLEM: Review: So cute! Bought a large as a gift for my mother-in-law, and she loved it. Only problem: I ordered a large and it looks like a medium. Hopefully it fits her and doesn't shrink.
Rating: 2
SOLUTION: | False
| 8 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
0.07714629918336868,
0.3593780994415283,
-0.1736309826374054,
-0.3524615168571472,
0.05303936451673508,
-0.11204839497804642,
1.4618260860443115,
0.7208660840988159,
-0.22972694039344788,
-0.10748747736215591,
-0.49257367849349976,
0.05791850760579109,
-0.9020571708679199,
0.20501044392585... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that define what the this logical operator does) of each logical operator between '{}' parenthesis. Here are the definitions of logical operators that you can use while generating command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
select the rows whose dance styles record fuzzily matches to rumba . the number of such rows is 5 .
Output: | eq { count { filter_eq { all_rows ; dance styles ; rumba } } ; 5 } | 1 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.3480222821235657,
-0.013921024277806282,
-0.4300239682197571,
0.7128147482872009,
0.26721447706222534,
-0.2040441632270813,
0.4851055145263672,
0.48818349838256836,
0.10161648690700531,
-0.24761949479579926,
-0.25866299867630005,
-0.03204749897122383,
-0.27102506160736084,
0.348407924175... |
Q: Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'.
Both operating profit and net sales for the 12-month period increased , respectively from EUR10 .5 m and EUR28 .8 m , as compared to the financial year 2004 .
A: | positive | 7 | NIv2 | task843_financial_phrasebank_classification | zs_opt | [
-0.8730794191360474,
-0.17743253707885742,
-0.22555266320705414,
0.004089320544153452,
0.1740884780883789,
-0.1330680400133133,
-0.3216668367385864,
0.4248214066028595,
0.48461031913757324,
0.3672654330730438,
-0.43446648120880127,
0.6282305121421814,
-0.3626495897769928,
-1.08469235897064... |
Detailed Instructions: In this task, you have to generate the title of the recipe given its required ingredients and directions.
See one example below:
Problem: ingredients: '1 cup minced onion', '1 1/2 tablespoons lemon juice', '3/4 teaspoon Hungarian paprika', '3/4 teaspoon ground cayenne pepper', '1/4 teaspoon salt', <sep> directions: 'Rinse onions in sieve under cold running water; drain.', 'Mix together ingredients in a small bowl; allow flavors to meld over 1 hour period before serving.', 'Serve as table condiment with Indian foods, samosas, pakoras, along with other chutneys.'
Solution: Indian Hot Onion Relish
Explanation: By knowing the ingredients and its recipe, the title of the dish is predicted correctly.
Problem: ingredients: '1 can green beans', '1 can wax beans', '1 can kidney beans', '1 sliced onion', '1 sliced green pepper', '1/2 tsp. salt', '1/2 tsp. celery seed', '1/2 c. sugar', '1/2 c. salad oil', '3/4 c. white vinegar',<sep> directions: 'Mix celery seed, salt, sugar, salad oil and white vinegar together.', 'Drain beans, except kidney beans.', 'Combine beans with onion and green pepper.', 'Pour dressing over and mix.', 'Chill.'
Solution: | 3 Bean Salad | 4 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.8492352962493896,
0.4513160288333893,
-0.6186003088951111,
0.6053682565689087,
0.34347349405288696,
-0.7229877710342407,
0.8100988864898682,
0.9190105199813843,
-0.3610609769821167,
-0.12302738428115845,
-0.13636234402656555,
0.3160390257835388,
-0.2203483134508133,
0.3960276246070862,
... |
Given the task definition and input, reply with output. 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".
Japanese: 彼は「”破綻している年金制度に30億ドルを払い込む気はなく”、そして、年金と医療給付の更なる改革があるだろう」と言った。
Bahasa Indonesia: Perjanjian Arbitrase Perbatasan mempertimbangkan arbitrator internasional dipisahkan 20 tahun sengketa perbatasan yang sejak dari pemisahan Yugoslavia.
| No | 5 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.8225945234298706,
0.7319097518920898,
0.46719610691070557,
-0.4309212565422058,
-0.06218559294939041,
-0.3262113928794861,
0.6395371556282043,
0.10350653529167175,
0.11791487038135529,
-0.22272738814353943,
-0.5925498008728027,
0.5840693712234497,
-1.0840790271759033,
0.3549101948738098... |
In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the context or linked information.
[EX Q]: Context: In the 1880s, he also attended Columbian College (now George Washington University) for medicine, Link Information: The George Washington University (GW or GWU) is a private research university in Washington, D.C. Answer: Washington, D.C.
[EX A]: What city was George Washington University located?
[EX Q]: Context: After he was named most valuable player of the Hula Bowl, Link Information: The Hula Bowl is a post-season college football all-star game held annually in Hawaii, Answer: Hawaii
[EX A]: In what state is the bowl game held where Garrett was named most valuable player?
[EX Q]: Context: As the Treaty of Versailles came into force on 10 January 1920, the German government had to drastically reduce the headcount of its regular armed forces Link Information: The Treaty of Versailles () was the most important of the peace treaties that brought World War I to an end. The Treaty ended the state of war between Germany and the Allied Powers. Answer: Allied Powers
[EX A]: | Who did the German government enter into the Treaty of Versailles with?
| 6 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
-0.13910824060440063,
0.718474268913269,
-0.44269752502441406,
-0.3412434458732605,
-0.13349241018295288,
-0.3158130347728729,
0.5340529680252075,
0.5499260425567627,
-0.18648755550384521,
-0.38459235429763794,
-0.06070489063858986,
0.05392780900001526,
-0.4044458866119385,
-0.202284201979... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Q: Para explorar este interrogante mi estudiante, Siggy Adalgeirsson, hizo un estudio donde trajimos participantes humanos, gente, a nuestro laboratorio para hacer una tarea colaborativa con un colaborador a distancia.
A: | この問いを探求するため私の学生のシギー・アダルゲリソンは私たちの研究室の外にいる研究協力者と共同作業を行ってくれる参加者を研究室に集めました | 9 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-0.6936848163604736,
-0.3506580591201782,
0.2620276212692261,
-0.8928031921386719,
0.5890735983848572,
-0.44854193925857544,
0.3539785146713257,
0.08354957401752472,
0.06706131994724274,
-0.2269967496395111,
0.1329754739999771,
-0.1997024416923523,
-0.1913692057132721,
0.13352906703948975,... |
Teacher:Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, military rank, baby animals, weather, consumer product, animals, boxing terminology, food, chocolate food, bird, type of sandwich, date status, body part, ocean, employment activity, moral characteristic, elements, poker, computers, construction, guitar part, shady activities, physical activity, kitchenware, temperature, type of rigidity, emotional status, season, mode of transportation, window material, activity, emotional display, geographical property, fried food, store status, widespread, aesthetic characteristic, alcoholic drinks, secretary duty, direction, personal characteristic, and animal.
Teacher: Now, understand the problem? Solve this instance: cream, fudge, cupcake, chocolate cake
Student: | chocolate food | 6 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
0.2598907947540283,
0.4727068841457367,
-0.28679415583610535,
-0.3123777508735657,
0.176272913813591,
-0.11625021696090698,
-0.1662536859512329,
0.5435428023338318,
0.13934770226478577,
-0.10830233991146088,
0.20807524025440216,
-0.07503994554281235,
-0.3045060634613037,
-0.726380467414856... |
Teacher:Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Teacher: Now, understand the problem? Solve this instance: Tweet: @anonymized_account Gangsterka zastraszyła te wszystkie osoby , Question: Is the tweet free of any cyberbullying (harmful) content?
Student: | Yes | 6 | NIv2 | task839_cdt_classification | zs_opt | [
-0.9038928747177124,
0.9082530736923218,
0.3346506953239441,
0.3326495587825775,
-0.6552945971488953,
-1.1704096794128418,
1.086366057395935,
-0.38983651995658875,
-0.011956445872783661,
0.33413708209991455,
0.06725195050239563,
0.23701275885105133,
-0.7385040521621704,
-0.4370427131652832... |
This task is about translating a given English language sentence to Yoruba language.
Input: Consider Input: The hands are the agents for grooming the body.
Output: Ọwọ́ ní ń tún ara ṣe.
Input: Consider Input: However, you win some, you lose some.
Output: Síbè̩, ènìyàn borí níwò̩n, kùnà níwò̩n.
Input: Consider Input: Listen to the experiences of brothers and sisters in Malawi who participated in the recent letter-writing campaign.
| Output: Gbọ́ ìrírí àwọn arákùnrin àti arábìnrin wa ní Màláwì, tí wọ́n kọ lẹ́tà nítorí àwọn ará wa ní Rọ́ṣíà.
| 2 | NIv2 | task1685_menyo20k_translation | fs_opt | [
-0.16632071137428284,
1.1722878217697144,
-0.41736602783203125,
-0.350677490234375,
-0.35045182704925537,
-0.794181227684021,
0.05968153476715088,
0.656112015247345,
0.5009437799453735,
-0.046029798686504364,
-0.05303195118904114,
0.19347591698169708,
-1.2640056610107422,
-0.07829228043556... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Q: Someone drew on Washington's face on the dollar.
A: Cineva a desenat pe fața lui Washington de pe dolar.
****
Q: A woman jumps and poses for the camera.
A: O femeie sare și pozează pentru aparatul foto.
****
Q: Two people are in bed.
A: | Doi oameni sunt în pat.
****
| 4 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.13752451539039612,
1.0612928867340088,
-0.18802320957183838,
-0.6307819485664368,
-0.3350331783294678,
-0.19385062158107758,
0.9658929109573364,
1.0785839557647705,
0.8702048063278198,
-0.3935387134552002,
0.2913753390312195,
0.482835590839386,
-0.37421485781669617,
0.03707036375999451,... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible.
Example input: story: It was bedtime at our house. Two of the three kids hit the pillow and fall asleep. The third is a trouble maker. For two hours he continues to get out of bed and want to play. Finally he becomes tired and falls asleep.
selected sentence: Finally he becomes tired and falls asleep.
Example output: A kid wants to play before sleep >Causes/Enables> A kid eventually falls asleep
Example explanation: The selected sentence is about a kid falling sleep, the answer correctly identifices an event causing the sentence to happen.
Q: story: Sam went to the beach to look at the ocean. But he noticed that he was the only alone. He began to feel sad. Sam sadly continued to watch the ocean. But then he noticed Someone sit next to him.
selected sentence: He began to feel sad.
A: | He is alone >Causes/Enables> He feels sad | 3 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
0.04401947930455208,
-0.03221645951271057,
-0.4336053729057312,
-0.6602965593338013,
-0.4155431389808655,
-0.7894120216369629,
0.269645631313324,
0.9484279155731201,
-0.4102713465690613,
0.30590274930000305,
-0.39991503953933716,
0.6855728626251221,
-0.43151628971099854,
-0.441349267959594... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX asks PersonY's mother for help<sep>Tail: becomes agitated
No
Head: PersonX gets PersonY removed<sep>Tail: good
Yes
Head: PersonX hits a ball<sep>Tail: hopeful
| Yes
| 0 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.5486236214637756,
0.1564025729894638,
0.2222709357738495,
-0.020911013707518578,
-0.3342597186565399,
-1.1287564039230347,
1.447160005569458,
0.8066506385803223,
-0.5917569398880005,
-0.4327002167701721,
-0.6037000417709351,
-0.1504077911376953,
-1.0425896644592285,
0.17929808795452118,
... |
Instructions: Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Input: Sentence: {{ He }} said 0 disciplinary proceedings are confidential and declined *-1 to comment on whether any are being held *-2 against Mr. Trudeau .
Word: He
Output: | PRON | 3 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.29624831676483154,
0.08502320945262909,
-0.1909334510564804,
0.24770991504192352,
-0.16531606018543243,
-0.5218819975852966,
0.6431983113288879,
0.5700686573982239,
-0.22471141815185547,
0.1712276041507721,
-0.8446615934371948,
0.23035743832588196,
-0.43455055356025696,
0.194448560476303... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Arrived broken. Manufacturer defect. Two of the legs of the base were not completely formed, so there was no way to insert the casters. I unpackaged the entire chair and hardware before noticing this. So, I'll spend twice the amount of time boxing up the whole useless thing and send it back with a 1-star review of part of a chair I never got to sit in. I will go so far as to include a picture of what their injection molding and quality assurance process missed though. I will be hesitant to buy again. It makes me wonder if there aren't missing structures and supports that don't impede the assembly process.
Solution: furniture
Reason: The customer gives a review of the product which belongs to the furniture category because we can see it from the way the customer describes his experience sharing how he unpackaged his chair.
Now, solve this instance: This is a board book for young children about Easter. I decided to toss this book, rather than give it to my granddaughter. In an effort to make a rhyming book, it uses way too many negative words for toddlers, such as dead, hate, etc. I think the Easter message should be a little softer and much more positive for that age group.
Student: | book | 2 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
-0.222280815243721,
-0.033693622797727585,
-0.4686489403247833,
0.29835841059684753,
0.3004991412162781,
0.035794347524642944,
0.7682989239692688,
0.6206831932067871,
-0.26827043294906616,
0.34618163108825684,
0.5308758020401001,
0.3914267420768738,
-0.04856838285923004,
-0.395808458328247... |
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
--------
Question: បន្ទាប់មក ព្រឹទ្ធសភាលោកឃឺរីអូប្រឺន(គណបក្សកម្មករ តាសម៉ានញ៉េ)បានរិះគន់លើការការពារឆ្នេសមុទ្ររបស់រដ្ឋាភិបាល ហើយបញ្ចាក់ពីភាពគ្រោះថ្នាក់នៃការមិនគិតគូរពីកប៉ាលរយៈពេល១៧ថ្ងៃ និយាយថា"វាចោទសួរពីហានិភ័យពីបរិស្ថាននិងចត្តាលីស័ក"និងជៀនសេង"មិនត្រូវបានអនុញ្ញាតិអោយចូលកំពុងផែវៃប៉ា...ពិតជាមិនអាចសួរបានឡើយ។"
Answer: その後ケリー・オブライエン上院議員（労働党、タスマニア州）が政府の沿岸警備の実態を批判し、「（船は）未知の環境・検疫上のリスクとなったし、今もリスクである可能性がある」、JianSengは「Weipa港への入港を拒否されていた…文字通り何を積んでいてもおかしくなかった」として、17日間船を無視し続けたことの危険性を強調した。
Question: ការកែប្រែទាំងនេះនឹងដាក់អោយមានសុពលភាព "យោងទៅតាមច្បាប់អ៊ិស្លាម" គាត់និយាយ។
Answer: このような変化は「イスラム教の原則に従って」適切な位置に導入される予定である、と彼は述べた。
Question: បន្ទាប់ពីមានការបញ្ជាពីក្រសួងសុខាភិបាលនៃសាធារណរដ្ឋប្រជាមានិតចិនកាលពីសប្តាហ៍មុន អោយធ្វើសេចក្តីរាយការណ៍នូវរាល់ករណីដែលកើតឡើង តួរលេខអ្នកដែលឆ្លងមេរោគនេះបានកើនឡើងគួរឲ្យកត់សម្គាល់។
Answer: | 先週の中華人民共和国衛生部による、発症例全ての報告を義務化した命令の発令後、感染例数は顕著に上昇した。
| 7 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
-0.27698880434036255,
-0.10425318032503128,
-0.34423404932022095,
-0.3241060972213745,
-0.48009106516838074,
-0.7495330572128296,
0.5744401216506958,
0.36949825286865234,
-0.5061634182929993,
0.05007297545671463,
-0.4218418002128601,
0.0534185953438282,
-0.7807886600494385,
0.2173554003238... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Example: Article: Homework can put you in a badmood , and that might actually be a good thing. Researchers from the University of Plymouth in England doubted whether mood might affect the way kids learn. To find out the answer, they did two experiments with children. The first experiment tested 30 kids. Someshapes were hidden inside a different, larger picture. The kids had to find the small shapes while sitting in a room with either cheerful or sad music playing in the background. To test their mood, the scientists asked the kids to point to one of five faces, from happy to sad. Children who listened to cheerful music tended to point to the smiley faces while the others pointed to the unhappy ones. The researchers found that sad kids took at least a second less to find the small shapes. They also found an average of three or four more shapes. In the second experiment, 61 children watched one of two scenes from a film. One scene was happy, and the other was sad. Just like in the first experiment, kids who saw the sad scene acted better compared to the others. The researchers guessed that feeling down makes people more likely to focus on a problem or difficult situation. Not all scientists agree with them, however. Other studies argued that maybe, that cheerful music in the first experiment distracted kids from finding shapes. While scientists work on finding out the answers, it still might be wise to choose when to do your tasks according to your mood. After eating a delicious ice cream, for example, write an essay.
Answer: whether mood affects their learning ability
Output: Researchers did experiments on kids in order to find out _ .
It is clearly mentioned in the article that to the check effect of mood on children is the main purpose of the experiment.
New input case for you: Article: Motorists who used to listen to the radio or their favorite tunes on CDs may have a new way to entertain themselves, after engineers in Japan developed a musical road surface. A team from the Hokkaido Industrial Research Institute has built a number of"melody roads,"which use cars as tuning forks to play music as they travel. The concept works by using grooves .They are cut at very specific intervals in the road surface. The melody road uses the spaces between to create different notes. Depending on how far apart the grooves are, a car moving over them will produce a series of high or low notes, and designers are able to create a distinct tune. Paten documents for the design describe it as notches "formed in a road surface so as to play a melody without producing simple sound or rhythm and reproduce melody-like tones". There are three musical strips in central and northern Japan--one of which plays the tune of a Japanese pop song. Reports say the system was invented by Shizuo Shinoda. He scraped some markings into a road with a bulldozer before driving over them and found that they helped to produce all kinds of tones. The _ speed for melody road is 44kph,but people say it is not always easy to get the intended sound. "You need to keep the car windows closed to hear well,"wrote one Japanese blogger."Driving too fast will sound like playing fast forward, while driving around 12mph[20km/h]has a slow-motion effect, making you almost car-sick."
Answer: bulldozers
Output: | According to the passage, melody roads use _ to create different notes. | 1 | NIv2 | task649_race_blank_question_generation | fs_opt | [
0.19223463535308838,
-0.17076213657855988,
-0.5394344925880432,
0.2898077964782715,
0.3945780098438263,
0.05889143794775009,
1.0842063426971436,
0.8418793678283691,
-0.18940067291259766,
-0.055830080062150955,
-0.16476702690124512,
0.18009766936302185,
0.4210369884967804,
0.033731848001480... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Pamela Olbes: Air conditioner broke down at a nursing home . Multiple victims with hyperthermia and dehydration , another _ five _ coming in the van .
Bartholomew Lefkowitz: Yeah , they turned our place into Kentucky Fried Old Folks ! | victims | 0 | NIv2 | task401_numeric_fused_head_reference | zs_opt | [
0.02572886273264885,
0.8865301609039307,
-0.6502395868301392,
-0.13201212882995605,
-0.29982370138168335,
-0.5875329375267029,
1.518864393234253,
0.6979541778564453,
-0.12314946949481964,
0.5783066749572754,
-0.40527355670928955,
0.12985531985759735,
-0.13401813805103302,
0.483414530754089... |
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Example Input: The Vitthala complex stands inside a high-walled , paved enclosure , with three gopura entrances , south and north .
Example Output: English
Example Input: The LEA will send you details of state mainstream and special schools in the area .
Example Output: English
Example Input: एक समय भारत के पास भी मस्तिष्क था जो अपने प्रकाश से दीप्त था और भारतीय स्नेह ह्यतेलहृ से जलता था ।
Example Output: | Hindi
| 3 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | fs_opt | [
-0.5888300538063049,
0.03493252396583557,
1.0733134746551514,
-0.0348932147026062,
-0.07623010873794556,
-0.4429612457752228,
-0.08933676779270172,
0.4728158712387085,
-0.27061545848846436,
-0.8849241733551025,
-0.42038774490356445,
0.1064000278711319,
0.022518079727888107,
0.0093025593087... |
instruction:
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Spanish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Spanish language. 2) Also names, dates and places should be preserved it should not get translated.
question:
"Well then; I guess that Mr. Willoughby hunts."
answer:
-Pues bien, adivino que el señor Willoughby practica la caza.
question:
I dare say you have seen enough of Edward to know that he would prefer the church to every other profession; now my plan is that he should take orders as soon as he can, and then through your interest, which I am sure you would be kind enough to use out of friendship for him, and I hope out of some regard to me, your brother might be persuaded to give him Norland living; which I understand is a very good one, and the present incumbent not likely to live a great while.
answer:
Me atrevería a decir que ha visto a Edward lo suficiente para saber que él preferiría la iglesia antes que cualquier otra profesión. Ahora, mi plan es que se ordene tan pronto como pueda y entonces que usted interceda ante su hermano, lo que estoy segura tendrá la generosidad de hacer por amistad a él y, espero, algún afecto por mí, para convencerlo de que le dé el beneficio* de Norland; según entiendo, es muy bueno y no es probable que el titular actual viva mucho tiempo.
question:
Marianne was still handsomer.
answer:
| Marianne era más hermosa aún.
| 9 | NIv2 | task1651_opus_books_en-es__translation | fs_opt | [
-0.023537032306194305,
0.8705816268920898,
-0.34544387459754944,
-0.26129695773124695,
0.19878992438316345,
-1.1165903806686401,
0.5804614424705505,
0.6175845265388489,
0.4012807607650757,
-0.17676228284835815,
-0.021617596969008446,
0.19221684336662292,
-0.9408975839614868,
0.098722659051... |
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Example Input: 9494 aggiunta 6595 aggiunta 5694 aggiunta 676 sottrazione 2944 aggiunta 3199 sottrazione 6621 aggiunta 2014
Example Output: 18107
Example Input: 5977 sottrazione 8501 sottrazione 2621 sottrazione 4694 sottrazione 3352 sottrazione 9996 aggiunta 3516 sottrazione 2960 sottrazione 2259
Example Output: -24890
Example Input: 4851 aggiunta 3319 aggiunta 3080 sottrazione 7911 sottrazione 6248 sottrazione 1860 aggiunta 9584 aggiunta 7609 sottrazione 6575
Example Output: | 5849
| 3 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
0.33275699615478516,
0.642883837223053,
-0.3192910850048065,
-0.10300581157207489,
-0.494301974773407,
-0.20734253525733948,
0.625048041343689,
1.1129348278045654,
0.3437038064002991,
-0.3276608884334564,
-1.1624457836151123,
-0.4011692404747009,
-0.5615133047103882,
0.26297473907470703,
... |
In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
[EX Q]: Question: Point out the correct answer regarding the regulation of hematopoiesis:
Options: <1> Altitude inhibits hematopoiesis. <2> Erythropoietin inhibits hematopoiesis. <3> Hypoxia stimulates the production of erythropoietin. <4> Erythropoietin is synthesized in the liver. <5> Erythropoietin does not influence the production of red blood cells.
[EX A]: 3
[EX Q]: Question: A 55-year-old woman with adrenal insufficiency has been prescribed corticosteroid treatment. Which of the following instructions would you provide in relation to this treatment?
Options: <1> Take the drug first thing in the morning. <2> Take the drug before bedtime. <3> Exclude foods rich in calcium and vitamin D from the diet. <4> Eat a diet low in calories and protein. <5> Monitor the decrease in blood pressure.
[EX A]: 1
[EX Q]: Question: A patient with Diabetes Mellitus type 1, which starts with high fever should:
Options: <1> Assess the evolution of fever and wait. <2> Do not eat <3> Assess the need to increase insulin. <4> Drink plenty of water. <5> Do not administer insulin.
[EX A]: | 3
| 6 | NIv2 | task1431_head_qa_answer_generation | fs_opt | [
0.32631999254226685,
-0.3621536195278168,
-0.5476324558258057,
0.10625796020030975,
0.44486045837402344,
-0.6294446587562561,
0.44419264793395996,
1.2282540798187256,
-0.21768979728221893,
-0.31484031677246094,
-0.21503223478794098,
-0.22912676632404327,
-0.6307705640792847,
0.166056990623... |
Given a hotel review and the corresponding polarity of review (i.e., Negative or Positive) identify if the polarity is correct. Write 'true' if it's correct, 'false' otherwise.
One example is below.
Q: Review: I stayed at the Hilton Chicago for my cousins wedding. The service was impeccable. Not only was the staff attentive, they were respectful and careful not to interrupt the guests or make themselves known when serving dinner. I had the chicken wellington and it was to die for! The chicken was perfect and moist but the pastry crust was flaky and crispy. They even had Pakistani dinner options for some of the guests. The amenities were great, and after an open bar the night before, the Mimosas and brunch buffet couldn't have been better! I would love to have my wedding there.
Polarity: Positive
A: true
Rationale: Review writer likes the hotel. There are strong positive words like 'impeccable' and 'great'. Therefore it is true as the polarity mentioned.
Q: Review: I never thought I'd be able to stay at a hotel and feel completely at home. I am a mother of two children, one of which has severe asthma and allergies. I have spent more time in hospital emergency rooms than my own living room for the past two and a half years. So when my sister was getting married in Chicago, I was extremely anxious. The front desk associate, Rosa, was wonderful. She told me that they have Allergy friendly rooms. No perfumes, no harsh cleaning chemicals, no dreaded "industry standard" feather pillows. I booked a room, but was still really worried. I shouldn't have been. Ethan breathed as easily in that beautiful room as he did in our own home. Maybe even a little better. They had an air purification system for our room. It smelled so fresh! While my husband took our daughter to the Big Bar for Nachos (she never stopped talking about how "totally cool" it was), I ordered room service for my son. The man who answered the phone was so patient and accommodating. My son has a lot of food allergies, so I was pretty much ordering off menu with specific details. That's always a little humbling, but the staff treated my order with the grace as though they did special orders all the time. I was actually able to enjoy my sister's wedding. The only problem with my stay is that it was too short. We're coming back for our first family vacation since Ethan was born. Thank you, Hyatt Regency Chicago, for making this family's visit possible and positive!!
Polarity: Negative
A: | false | 9 | NIv2 | task903_deceptive_opinion_spam_classification | fs_opt | [
0.24719658493995667,
-0.001779426820576191,
-1.008845329284668,
0.35068047046661377,
0.188327819108963,
-1.2315006256103516,
0.6226152777671814,
0.9190213680267334,
0.4844862222671509,
-0.41602623462677,
0.2111542820930481,
0.49997276067733765,
-0.3741486668586731,
0.09995921701192856,
-... |
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer can be found in the passage, label it as "span". If the answer is a number, label as "number". Similarly, label "date" if you think the answer to the given question is a date.
Example Input: Passage: Digital distribution of movies has the potential to save money for film distributors. To print an 80-minute feature film can cost US$1,500 to $2,500, so making thousands of prints for a wide-release movie can cost millions of dollars. In contrast, at the maximum 250 megabit-per-second data rate (as defined by Digital Cinema Initiatives for digital cinema), a feature-length movie can be stored on an Commercial off-the-shelf 300 Gigabyte hard drive for $50 and a broad release of 4000 digital prints might cost $200,000. In addition hard drives can be returned to distributors for reuse. With several hundred movies distributed every year, the industry saves billions of dollars. The digital-cinema roll-out was stalled by the slow pace at which exhibitors acquired digital projectors, since the savings would be seen not by themselves but by distribution companies. The Virtual Print Fee model was created to address this by passing some of the saving on to the cinemas. As a consequence of the rapid conversion to digital projection, the number of theatrical releases exhibited on film is dwindling. As of 4 May 2014, 37,711 screens (out of a total of 40,048 screens) in the United States have been converted to digital, 3,013 screens in Canada have been converted, and 79,043 screens internationally have been converted.
Question: As of 4 May 2014, how many screens world-wide have been converted to digital?
Example Output: number
Example Input: Passage: In 1554 the Pechenga Monastery was raided by the Swedes. The governor of Novgorod Paletsky sent Nikita Kuzmin to Stockholm to ask for an explanation, but the Russian representative was imprisoned. In response Russia mounted an organized attack with up to 20,000 soldiers in March 1555. With its initially 1,000 men, Finland could not stand against the invading troops, but soon, reinforcements consisting of 3,700 infantrymen and 250 cavalrymen arrived from Sweden. The Finnish nobility had also been engaged in the war, contributing with its cavalry. The goal of the Swedish-Finnish troops was to conquer Oreshek, Korela and Koporye. The siege of Oreshek was badly planned by the Swedish side and failed since the Russians had destroyed the areas surrounding the town and the Swedish troops had insufficient supplies to be able to maintain the siege until the town surrendered. While admiral Johan Brigge besieged and bombarded Oreshek, the Swedish diplomats tried to find support for their cause in Livonia, Poland-Lithuania and England. Early the following year, 1556, Russia made a new attack, this time with an army almost 20,000 men strong. The attack was aimed at the town of Viborg , and the Swedish troops were unlikely to withstand an army of that considerable size. However, after a few days of pillaging in the area around Viborg, the Russian forces left. The reason for this has not been made clear. Conceivable reasons might be bad discipline or a raging disease among the Russian soldiers. Perhaps it was never the aim to conquer Viborg, only to ravage the areas surrounding the town as a demonstration of power.
Question: How many men came from Sweden to help Finland?
Example Output: number
Example Input: Passage: The Peru-Bolivian Confederation was a short-lived state that existed in South America between 1836 and 1839. The country was a loose confederation between the states of Peru, divided into the Republic of North Peru and the Republic of South Peru, and Bolivia, with the capital located in Tacna. The Peru-Bolivian Confederation's formation was personally influenced by Marshal Andrés de Santa Cruz, the President of Bolivia, who served as the first and only head of state under the title "Supreme Protector". The Peru-Bolivian Confederation was opposed by neighboring countries from its inception, particularly Chile and Argentina, as a potential military and economic threat, and for its support for dissidents in exile. The War of the Confederation was triggered shortly after its formation when Chile and Argentina independently invaded the country. Argentina was defeated in 1837, but a combined force of Chile and North Peruvian dissidents known as the United Restoration Army were victorious at the Battle of Yungay in January 1839, which de facto ended the confederation as Peru and Bolivia were restored as independent states, and Santa Cruz fled into exile. The Peru-Bolivian Confederation was officially declared dissolved on August 25, 1839, by General Agustín Gamarra after his appointment as President of Peru.
Question: What continent was the Peru-Bolivian Confederation located on?
Example Output: | span
| 3 | NIv2 | task027_drop_answer_type_generation | fs_opt | [
0.39898353815078735,
0.15474139153957367,
-0.6469947695732117,
-0.013947914354503155,
0.541843056678772,
0.6278269290924072,
1.0331192016601562,
1.1664482355117798,
-0.15651099383831024,
-0.10016460716724396,
-0.10126033425331116,
0.33980095386505127,
-0.9045799374580383,
0.293502569198608... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
Let me give you an example: [3, 0, 3, 8]
The answer to this example can be: [3, 3]
Here is why: Zero and eight are removed from the input list because they are even numbers, and because three appeared twice in the input list, it appears twice in the output list. So this is a good example.
OK. solve this:
[161, 62, 131, 132, 134, 6, 18, 182, 134]
Answer: | [161, 131] | 8 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.1729760766029358,
0.05822106450796127,
-0.4896838366985321,
-0.5699207186698914,
0.4170995056629181,
-0.11154244840145111,
0.9856213331222534,
0.22588302195072174,
-0.6189241409301758,
0.26934289932250977,
-0.7731271386146545,
0.2160753607749939,
-0.40845078229904175,
-0.767744302749633... |
Detailed Instructions: Given an abstract, indicate which of the provided candidate titles (Option1 and Option2) best describes it (respond with the text of the title, not option1/2).
See one example below:
Problem: Abstract: Some patients converted from ventricular fibrillation to organized rhythms by defibrillation-trained ambulance technicians (EMT-Ds) will refibrillate before hospital arrival. The authors analyzed 271 cases of ventricular fibrillation managed by EMT-Ds working without paramedic back-up. Of 111 patients initially converted to organized rhythms, 19 (17%) refibrillated, 11 (58%) of whom were reconverted to perfusing rhythms, including nine of 11 (82%) who had spontaneous pulses prior to refibrillation. Among patients initially converted to organized rhythms, hospital admission rates were lower for patients who refibrillated than for patients who did not(53% versus 76%, P = NS), although discharge rates were virtually identical (37% and 35%, respectively). Scene-to-hospital transport times were not predictively associated with either the frequency of refibrillation or patient outcome. Defibrillation-trained EMTs can effectively manage refibrillation with additional shocks and are not at a significant disadvantage when paramedic back-up is not available.
Which is the apt title for the abstract? option1: Refibrillation managed by EMT-Ds option2: Maintenance of compliance in a small diameter arterial prosthesis.
Solution: Refibrillation managed by EMT-Ds
Explanation: The abstract is about refibrillation and it is also mentioned in the abstract that it is managed by EMT-Ds. So it is an apt title.
Problem: Abstract: We compared the degree of complement activation in 15 patients receiving massive blood transfusions and 21 patients with the septic syndrome and examined its association with other risk factors for adult respiratory distress syndrome (ARDS). Patients with massive transfusion (n = 8) as their only risk factor for ARDS had lower C3a levels (250 +/- 80 ng/ml) and a lower incidence of ARDS (0%) than patients with massive transfusion plus other risk factors (n = 7; C3a, 600 +/- 120 ng/ml; ARDS, 55%) or patients with the septic syndrome (n = 21; C3a, 540 +/- 80 ng/ml; ARDS, 19%). In our patients, the degree of complement activation appeared to reflect the presence of complicating clinical conditions.
Which is the apt title for the abstract? option1: C3a and adult respiratory distress syndrome after massive transfusion. option2: Subcapsular hematoma in fatty liver of pregnancy.
Solution: | C3a and adult respiratory distress syndrome after massive transfusion. | 4 | NIv2 | task624_ohsumed_question_answering | fs_opt | [
0.5810347199440002,
0.5476393699645996,
-0.3410117030143738,
0.2521991729736328,
0.08278883993625641,
-0.5447713136672974,
0.7369109392166138,
0.4486597180366516,
0.3670085072517395,
0.7456890344619751,
-0.6879175305366516,
0.11176581680774689,
-0.3410254716873169,
0.21957911550998688,
0... |
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.
Example Input: ஸ்டார்ட்-அப் நிறுவனங்களாக இருந்தாலும், விளையாட்டுத் துறையாக இருந்தாலும், இந்த துடிப்புக்கு யார் சக்தி தருவது?
Example Output: সেটি নতুন উদ্যোগের ক্ষেত্রে, ক্রীড়া ক্ষেত্রেও প্রযোজ্য । এই শক্তি কোথা থেকে আসছে ?
Example Input: நமது நாட்டில் நிலைமாற்றத்தை உருவாக்க வேண்டும்.
Example Output: আমাদের দেশে পরিবর্তন আনতে হবে।
Example Input: அரசுகள் கூட, பல்வேறு திட்டங்கள் மூலம் இதற்கான நடவடிக்கைகளில் ஈடுபட வேண்டும்.
Example Output: | এই সফরগুলিতে বিভিন্ন পেশায় যুক্ত দেশের মানুষের সঙ্গেও মিলিত হওয়ার সুযোগ পাই।
| 3 | NIv2 | task982_pib_translation_tamil_bengali | fs_opt | [
0.3501380681991577,
0.5626845359802246,
-0.020077785477042198,
-0.03552854061126709,
0.15600726008415222,
-0.9243252277374268,
0.6541454792022705,
1.0599968433380127,
-0.036001741886138916,
-0.24584320187568665,
-0.8857068419456482,
0.4932488203048706,
-0.7805572748184204,
-0.2161412239074... |
In this task your given a passage in Catalan. you must ask a question in Catalan, that is relevant to the passage. A question that is constructed should be precise and based on factual information from the passage. A constructed question should be: (a) unambiguous (b) be directly answerable from the passage (c) have a unique answer (d) have an answer that is a continuous span of text from the passage. Try to avoid formulating questions that (a) can be answered without referring to the passage, or (b) use exactly the same words or questions given in the passage. Try to make the question fluent in the language used. You have to create exactly one question.
Q: Els primers treballs de Moore es basen en la talla directa, en què la forma de l'escultura evoluciona a mesura que l'artista treballa el bloc. En la dècada de 1930, la transició de Moore cap a l'art modern es fa en paral·lel a la de Barbara Hepworth i tots dos van intercanviar idees entre si i amb diversos artistes que aleshores vivien a Hampstead. Moore va fer molts esbossos i dibuixos preparatoris per a cada escultura. La majoria d'aquests quaderns han sobreviscut i proporcionen informació sobre el desenvolupament de Moore. Va donar una gran importància al dibuix, i fins i tot quan es va fer gran i patia d'artritis, va continuar dibuixant.[45]
A: | En què es basen els primers treballs? | 4 | NIv2 | task836_viquiquad_question_generation | zs_opt | [
0.7111591100692749,
1.000062346458435,
0.007355365436524153,
0.2674510180950165,
0.2564980089664459,
-0.4809269905090332,
0.43942975997924805,
0.8314975500106812,
-0.46141403913497925,
0.08320845663547516,
0.20570719242095947,
0.35357028245925903,
-0.29303091764450073,
-0.2865791916847229,... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096'. If an integer is exactly in equally far from two different powers of 2 then you should output the larger power of 2. The output should be a list of integers that is the result of rounding each integer int the input list to the closest power of 2. The output should include a '[' to denote the start of the output list and ']' to denote the end of the output list.
[169, 308, 3379, 1879, 21, 33, 3, 145, 384, 2016, 2054, 14, 61]
Output: | [128, 256, 4096, 2048, 16, 32, 4, 128, 512, 2048, 2048, 16, 64] | 1 | NIv2 | task1444_round_power_of_two | zs_opt | [
-0.21462881565093994,
0.8054574728012085,
-0.2996918857097626,
0.00878745038062334,
0.0503806434571743,
0.08864028751850128,
0.20012685656547546,
0.34965258836746216,
-0.1522904336452484,
0.19780762493610382,
-0.519404947757721,
0.1726628839969635,
-0.23618006706237793,
-0.3534981310367584... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Ex Input:
Which TV character has sisters called Daisy and Rose?
Ex Output:
daisy
Ex Input:
Forty hours before he committed suicide in 1945 Adolf Hitler married whom?
Ex Output:
adolf hitler
Ex Input:
What is the name for large-scale musical works such as Handel's Messiah and Haydn's The Creation?
Ex Output:
| the creation
| 1 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.12755495309829712,
0.8640815615653992,
-0.466373085975647,
0.6816768646240234,
-0.36598581075668335,
0.0013846998335793614,
1.141860008239746,
0.4230384826660156,
0.3349323272705078,
0.02799130231142044,
-0.7648283839225769,
-0.14406053721904755,
-0.14787310361862183,
-0.2318033576011657... |
Given the task definition and input, reply with output. In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
[99, 85, 41, 59, -57, 85, 38, 81]
| 0 | 5 | NIv2 | task1445_closest_integers | zs_opt | [
-0.735385000705719,
0.627846360206604,
0.27048206329345703,
-0.21893584728240967,
-0.2920369505882263,
-0.04764323681592941,
0.28767332434654236,
-0.043641358613967896,
0.6543287634849548,
0.13237933814525604,
-0.6073156595230103,
-0.35532528162002563,
-0.4594391882419586,
0.00640241708606... |
Detailed Instructions: Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, military rank, baby animals, weather, consumer product, animals, boxing terminology, food, chocolate food, bird, type of sandwich, date status, body part, ocean, employment activity, moral characteristic, elements, poker, computers, construction, guitar part, shady activities, physical activity, kitchenware, temperature, type of rigidity, emotional status, season, mode of transportation, window material, activity, emotional display, geographical property, fried food, store status, widespread, aesthetic characteristic, alcoholic drinks, secretary duty, direction, personal characteristic, and animal.
See one example below:
Problem: excavator, crane, hoist, upraise
Solution: construction
Explanation: These four words are all construction equipment, such as 'excavator', 'crane', and 'hoist', or describe a common activity used in construction, such as 'upraise'.
Problem: townhome, flat, even, mansion
Solution: | accomodation | 4 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.1899130642414093,
0.4373960494995117,
-0.47704020142555237,
0.3281199336051941,
0.4824398159980774,
0.005063272546976805,
-0.38633471727371216,
1.0555076599121094,
0.02166138030588627,
-0.11621703952550888,
-0.40183573961257935,
-0.08677775412797928,
-0.3325839340686798,
-0.5556763410568... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
--------
Question: 3, 2, ['G', 'C', 'h', '6263', '6331', 'O', '6559', '7367', 'O', '5265', '3547', '8827', 'K', 'k', 'f']
Answer: h, 6331, 6559, O, 3547, K, f
Question: 3, 7, ['1945', 'n', '9517', 'Z', 'n', '8873', 'E', 'g', '7175', 'm', 'V', 'd', '793', '701', '4053', 'J', 'z', 'a', '8387']
Answer: 9517, m, z
Question: 3, 10, ['9227', '9055', 's', 'N', '4179', '4871', 'l', 'F', 'l', 'C', '95', 'm', '6353', 'Q', 'm', 'S', '9817', 'O', 'k', 'y', 'P', '1799', 'M', 'R', 'Z', 'Q', '6315', '3361']
Answer: | s, 6353, M
| 7 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.2211591899394989,
-0.1492134928703308,
-0.9418668746948242,
-0.20140241086483002,
-0.37835872173309326,
-0.3675478398799896,
0.8000572919845581,
0.1980902999639511,
-0.43473365902900696,
0.07328572124242783,
-1.0083751678466797,
0.012660653330385685,
0.04454904794692993,
0.33921387791633... |
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
[Q]: And Art Chance, the issuing of pink slips is actually what the governor and the liberals want. Suppose the legislature approves a budget and the governor vetoes the entire bill. He will accuse the legislator of shutting down the govt, just like last year. Can the majority see beyond their noses? Suggest the majority come up with a solution on O&G tax credits by upping the minority by $10 million more in cuts. Then vote and let the chips fall where the may. Then cut the budget to get the UGF to no more than $4.5 billion. Let the governor veto that and hold him accountable for issuing pink slips.
[A]: No
[Q]: Sorry but this country has had enough CHANGE from the current administration. Anyone voting for this person needs their brain examined. Knowing what she did, and ignoring it, screams war crimes to the masses. The last thing we needs is another liar and cheat in office.
[A]: Yes
[Q]: 1 in 9 have not been the victim of an assault. According to the survey, 1 in 9 have been victims of sexual misconduct or sexual assault. About 1 in 20 has been the victim of sexual assault.
[A]: | Yes
| 5 | NIv2 | task1722_civil_comments_threat_classification | fs_opt | [
-0.9667156934738159,
1.01725172996521,
0.10989110171794891,
0.2852819561958313,
-0.04965931549668312,
-0.7801586389541626,
0.2363341748714447,
1.0976886749267578,
0.1497764140367508,
-0.23898185789585114,
-0.11707517504692078,
0.18207132816314697,
0.28437161445617676,
-0.06058210879564285,... |
Detailed Instructions: Given a sentence, generate a new 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.
Q: People swap eggs for dairy .
A: | People eat eggs for breakfast. | 9 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.5347498059272766,
0.405800461769104,
0.36474305391311646,
-0.13194647431373596,
-0.38928043842315674,
-0.6315744519233704,
0.4743151366710663,
0.9158226847648621,
-0.16350901126861572,
-0.4850843846797943,
-0.5792466998100281,
-0.05901182442903519,
-0.7790277600288391,
0.705662846565246... |
In medical studies, the efficacy of medical treatments (called interventions) is evaluated within a group of study participants. You will be given a sentence of a study report in which your task is to list the phrases that describe the intervention(s) of the study. You should list the phrase in the same order that they appear in the text, separated by commas. If no information about the interventions is mentioned, just answer with "not found". Interventions are: a specific drug, surgery, talking therapy, a lifestyle modification, control or placebo treatment. Do not include details, dosages, frequency and duration, intervention mentions that are not in an informative span of text.
One example is below.
Q: The patients received either azithromycin (600 mg/d for 3 days during week 1, then 600 mg/wk during weeks 2-12; n = 3879) or placebo (n = 3868)
A: azithromycin, placebo
Rationale: The word azithromycin refers to a drug, and placebo refers to a control test. Note that no extra information is given in the output.
Q: The drug had demonstrated significant activity in preclinical studies and some activity in Phase I trials .
A: | not found | 9 | NIv2 | task180_intervention_extraction | fs_opt | [
0.5499604940414429,
0.16090285778045654,
-0.12523064017295837,
-0.8045585751533508,
0.12332947552204132,
-0.5807517766952515,
0.71047043800354,
0.805037260055542,
-0.5190063714981079,
0.6004430055618286,
-0.8184522390365601,
0.005234742537140846,
-0.6341134309768677,
-0.13569670915603638,
... |
Detailed Instructions: In this task, you're given a text and question. The question is about the topic of the document. You are expected to generate an incorrect answer. The incorrect answer should be among one of the following categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Film, 14)Written work
Problem:Text: Howard John Edward Wild Thing Young (August 2 1937 – November 24 1999) was a Canadian professional ice hockey player and actor best known for his time in the National Hockey League with the Detroit Red Wings in the 1960s. He was born in Scarborough Ontario.
Question: WHat is the classified topic name
Solution: | Film | 8 | NIv2 | task631_dbpedia_14_incorrect_answer_generation | zs_opt | [
0.27325886487960815,
0.23303931951522827,
-0.35439223051071167,
0.17014487087726593,
0.28887152671813965,
-0.33971256017684937,
-0.305534303188324,
0.4742213189601898,
-0.0022329241037368774,
-0.39420801401138306,
0.13990914821624756,
-0.4437245726585388,
-0.33364760875701904,
-0.464359462... |
Detailed Instructions: In this task, given a sentence in the English language, your task is to convert it into the Malay language.
Problem:The steel frame of a four-storey building under construction in Vancouver collapsed.
Solution: | Kerangka keluli sebuah bangunan empat tingkat dalam pembinaan di Vancouver runtuh. | 8 | NIv2 | task553_alt_translation_en_ma | zs_opt | [
-0.7240415811538696,
1.0034122467041016,
0.03437061235308647,
-0.8989111185073853,
0.7406141757965088,
0.42750442028045654,
0.7394236326217651,
0.8784066438674927,
0.11473184823989868,
0.014911864884197712,
-0.25291651487350464,
-0.03866937756538391,
-0.15144968032836914,
0.136632129549980... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
¿De acuerdo? ¿Preparados?
Output: | Vale? Listos? | 1 | NIv2 | task1100_ted_translation_es_gl | zs_opt | [
0.0915469154715538,
1.0274187326431274,
-0.18458202481269836,
-0.6619141697883606,
0.015775101259350777,
-0.8748587965965271,
0.03499126434326172,
0.3752499222755432,
-0.25705868005752563,
0.05362514778971672,
-0.395149827003479,
-0.2843219041824341,
-0.5549522638320923,
0.0862762033939361... |
Given the task definition and input, reply with output. In this task, you are given a sentence in Persian, and you have to paraphrase it. The paraphrased sentence must have the same meaning as the input.
پول سیاه چیست و چگونه می تواند اقتصاد یک کشور را تحت تأثیر قرار دهد؟
| تأثیر پول سیاه در اقتصاد کلان هند چیست؟ | 5 | NIv2 | task466_parsinlu_qqp_text_modification | zs_opt | [
-0.9197244048118591,
1.2388638257980347,
0.21085287630558014,
-0.426250159740448,
-0.7196803689002991,
1.0223222970962524,
0.8612978458404541,
0.4723045825958252,
0.45383167266845703,
-0.22393107414245605,
-1.150070309638977,
0.6726616621017456,
-0.3515390455722809,
-0.0640774741768837,
... |
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer can be found in the passage, label it as "span". If the answer is a number, label as "number". Similarly, label "date" if you think the answer to the given question is a date.
Ex Input:
Passage: In 1922, the Bolsheviks closed down the Novodevichy Convent and turned it into the Museum of Women's Emancipation. By 1926, the monastery had been transformed into a history and art museum. In 1934, it became affiliated with the State Historical Museum. Most of its facilities were turned into apartments, which spared the convent from destruction. In 1943, when Stalin started to make advances to the Russian Orthodox Church during World War II, he sanctioned opening the Moscow Theological Courses at the convent. Next year the program was transformed and became the Moscow Theological Institute. In 1945, the Soviets returned Assumption Cathedral to the believers. The residence of the Metropolitan of Krutitsy and Kolomna has been located in the Novodevichy Convent since 1980. In 1994, nuns returned to the convent, which is currently under the authority of the Metropolitan of Krutitsy and Kolomna. Some of the churches and other monastic buildings are still affiliated with the State Historical Museum. In 1995, religious services resumed in the convent on patron saint's days.
Question: Which year did Moscow Theological Program transform and become the Moscow Theological Institute?
Ex Output:
date
Ex Input:
Passage: Still searching for their first win, the Lions returned home for a Week 6 match-up with the Buffalo Bills. In the first quarter, Detroit got off to a good start with kicker Jason Hanson kicking a 43-yard field goal and RB Kevin Jones getting a 7-yard TD run. In the second quarter, Buffalo started to catch up with QB J. P. Losman completing a 44-yard TD pass to WR Roscoe Parrish. Fortunately, the Lions responded with QB Jon Kitna throwing a 28-yard pass to WR Roy Williams. The Bills would get a 53-yard field goal by kicker Rian Lindell as time ran out on the half. After a scoreless third quarter, Hanson helped Detroit increase their lead with a 29-yard field goal. The Bills would get one last touchdown, as Losman completed a 4-yard TD pass to TE Ryan Neufeld. The Lions held on to finally acquire their first win of the year improving to 1-5.
Question: Which player caught the longest touchdown pass?
Ex Output:
span
Ex Input:
Passage: As of the census of 2000, there were 48,599 people, 18,210 households, and 11,617 families residing in the county. The population density was 97 people per square mile (38/km²). There were 20,116 housing units at an average density of 40 per square mile (16/km²). The racial makeup of the county was 96.95% Race (United States Census), 0.86% Race (United States Census) or Race (United States Census), 0.27% Race (United States Census), 0.41% Race (United States Census), 0.01% Race (United States Census), 0.32% from Race (United States Census), and 1.18% from two or more races. 1.16% of the population were Race (United States Census) or Race (United States Census) of any race. 17.3% were of English, 16.9% Irish, 14.2% German, 13.0% Italian and 9.9% American ancestry according to Census 2000. 96.0% spoke English and 1.4% Spanish as their first language.
Question: How many in percent from the census weren't American?
Ex Output:
| number
| 1 | NIv2 | task027_drop_answer_type_generation | fs_opt | [
0.9609341025352478,
-0.10391810536384583,
-0.5985898971557617,
0.7945288419723511,
0.38021039962768555,
-0.31848084926605225,
0.47788500785827637,
0.5941202640533447,
0.011908462271094322,
0.1731412261724472,
-0.6639819741249084,
0.831762433052063,
-0.3959527909755707,
-0.16649387776851654... |
Teacher:In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY, or others, feel what is mentioned in the Tail or not. Feelings in this task are the emotional reactions on the part of PersonY or other participants in an event. For example, as a result of gift-giving, others (in this case, PersonY) might feel appreciated. 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.
Teacher: Now, understand the problem? Solve this instance: Head: PersonX raises money<sep>Tail: happy and satisfied that he could the process
Student: | Yes | 6 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
-0.03990142047405243,
-0.12506982684135437,
0.4427821636199951,
-0.11534588038921356,
-0.2544716000556946,
-0.9522268772125244,
1.1199913024902344,
0.6458879709243774,
-0.6765695810317993,
-0.5339547395706177,
-0.0823318362236023,
-0.051808372139930725,
-0.7246739268302917,
0.1931214481592... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Let me give you an example: فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع البيت ليمتد التعليم الى بعد اليوم المدرسي.
The answer to this example can be: A fines del verano estamos instalando el primer lote de computadoras y ayudando al Dr. Zullinger a desarrollar estrategias para poder conectar el aula y el hogar y extender el aprendizaje más allá del día escolar.
Here is why: The Arabic sentence is correctly translated into Spanish, because the meaning is preserved.
OK. solve this:
وحوالي الرابعة صباحاً خلدت إلى النوم بروح متعبة.
Answer: | Alrededor de las 4 a.m. me fui a la cama con la moral baja. | 8 | NIv2 | task1232_ted_translation_ar_es | fs_opt | [
-0.5510907769203186,
0.92889404296875,
-0.2533413767814636,
-0.42317235469818115,
-0.7114481925964355,
-0.2233758270740509,
1.1921896934509277,
0.3841964602470398,
0.27580559253692627,
-0.21406680345535278,
-0.3467799425125122,
0.05561487749218941,
-0.46875059604644775,
-0.2550550997257232... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
एक स्पष्ट वापसी समय-रेखा की स्पष्ट व्याख्या करने की इच्छा से पत्रकारों द्वारा प्रशनों पर फटकार लगाई गई। | Further questions by reporters intending to pin down a clear withdrawal time-line were rebuffed. | 0 | NIv2 | task433_alt_hi_en_translation | zs_opt | [
-0.5938116908073425,
0.10087080299854279,
0.7911195158958435,
-0.060300324112176895,
0.18510621786117554,
0.0804225504398346,
0.4348253607749939,
0.5435168743133545,
-0.3733866214752197,
-0.2873183488845825,
-0.782346785068512,
-0.09174230694770813,
-0.4860573709011078,
0.1499747931957245,... |
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.
Q: great what about the culture?
amazing! thank you very much
Mauritius has an upper-middle-income economy according to the World Bank in 2011. Mauritius has the highest population density in Africa
No problem at all
anymore facts?
A: | Mauritius has an upper-middle-income economy according to the World Bank in 2011. Mauritius has the highest population density in Africa | 4 | NIv2 | task576_curiosity_dialogs_answer_generation | zs_opt | [
0.21856144070625305,
0.9740865230560303,
-0.34466129541397095,
-0.6083329319953918,
-0.2702285349369049,
0.272805392742157,
0.6299439072608948,
-0.16014540195465088,
-0.0024940730072557926,
-0.38927048444747925,
-0.8679163455963135,
-0.8126116991043091,
-0.012301010079681873,
0.24223752319... |
TASK DEFINITION: A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence.
PROBLEM: इससे जहा एक ओर अल्पसंख्यक समुदायों के गरीब तबकों के लोगों के लिए रोजगार के अवसर उपलब्ध होंगे वही दूसरी तरफ स्वच्छ भारत अभियान को मजबूती मिलेगी।
SOLUTION: While on one hand it will create job opportunities for the youths belonging to poor sections of the Minority communities, on the other hand it will strengthen Swachh Bharat Abhiyan.
PROBLEM: यह लॉजिस्टिक्स पार्क घरेलू और एक्जिम कंटेनर यातायात दोनों का संचालन करने में सक्षम होगा।
SOLUTION: This Logistics Park will be able to handle both Domestic and Exim Container Traffic.
PROBLEM: स्थापित क्षमता (गीगावॉट) 31.10.2018 तक
SOLUTION: | Installed capacity (GW) as on 31. 10.
| 8 | NIv2 | task1024_pib_translation_hindi_english | fs_opt | [
-0.055567845702171326,
0.1378556191921234,
0.442341148853302,
-0.10987871885299683,
-0.04307951778173447,
-0.22144389152526855,
0.28201326727867126,
0.7032039165496826,
0.1494694948196411,
0.35959795117378235,
-0.07033079862594604,
0.3439139723777771,
-0.18593153357505798,
0.19424682855606... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Q: É dicir, sen permisos, aberto, xenerativo.
A: E questo significa assenza di restrizioni, essere aperti, produttivi.
****
Q: Á outra metade, dixémoslles que a muller era fiel e o home moi ciumento.
A: All'altra metà, invece, abbiamo detto che la moglie era fedele e il marito molto geloso.
****
Q: E ata 1995, non sabiamos da existencia doutros planetas que non fosen os do noso Sistema Solar.
A: | Fino al 1995 non sapevamo nemmeno dell'esistenza di altri pianeti, oltre quelli attorno al nostro Sole.
****
| 4 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.7360994815826416,
0.8478532433509827,
-0.03567130118608475,
-0.059323038905858994,
-0.3815707564353943,
-1.0964112281799316,
-0.12744846940040588,
0.8223223090171814,
-0.2922036051750183,
-0.5041450262069702,
-0.7605182528495789,
0.21933352947235107,
-0.24164599180221558,
-0.08209809660... |
Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Input: a life time since it was all over and done with and a new page turned.
Output: | یک عمر چون دست به هر کاری زده بود به پایان رسیده بود و ورق تازهای گشوده شده بود، | 3 | NIv2 | task661_mizan_en_fa_translation | zs_opt | [
0.12970863282680511,
1.0451860427856445,
-0.46392202377319336,
0.027992913499474525,
-0.23596026003360748,
-0.2095351219177246,
0.4459618031978607,
0.46284908056259155,
0.04093897342681885,
0.4636461138725281,
0.1350150853395462,
0.37064141035079956,
-0.0766916498541832,
0.8226465582847595... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , an individual, title of a person, description of a person);
(2) Event: Any phenomenon natural or artificial (e.g., named hurricanes, Battles, Wars, Sports events, Terrorist attacks);
(3) Entity: A thing with distinct and independent existence (Animals, Organs of body, Colors, Inventions, books and other creative pieces, Currency name, Diseases, and medicine, Food, Musical instrument, Languages, Plants, Products, Religions, Sports, Elements and substances, Symbols and signs, Techniques and methods, Equivalent terms, Vehicles);
(4) Facility: Something built for a particular purpose (Buildings, Airports, Highways, Bridges);
(5) Location: A place (Cities, Countries, Mountains, States);
(6) Law: Named documents made into laws (e.g., “the first amendment”, "civil rights act");
(7) Organization: an organized body of people with a particular purpose (Company names, e.g. Google, Cults or terrorist groups, e.g. Al Qaeda);
(8) Date: Absolute or relative dates or periods, bigger than 1 day (Years, Range, e.g. from Monday to Tuesday, or during the 20th century, Approximate time);
(9) Time: Any temporal range/unit that is shorter than a day (e.g., 2 o'clock, 1 pm);
(10) Money: Monetary values, including unit (e.g., "$26", "914$");
(11) Quantity: postcodes or other codes, the number of sth, Ranks, fractions, speed, temperature, size, area, and volume, weight (e.g., "26 degree" "17 inch");
(12) Description: description and abstract concepts (e.g., the definition of something, the manner of an action, reasons);
(13) Abbreviation: expression abbreviated (e.g., AMT = abbreviation of Amazon Mechanical Turk). Don't generate any word that is not mentioned in the list of types (Humans, Event, Entity, Facility, Location, Law, Organization, Date, Time, Money, Quantity, Description, Abbreviation). If you can not associate any of the given types with the provided question and answer pair, respond "Other".
Question: How many time can the judges save be used each season? (Answer: once).
Law.
Question: What show did Simon Cowell join after leaving American Idol? (Answer: The X Factor).
Event.
Question: How many hours of community service did Kanye receive? (Answer: 250).
| Quantity.
| 0 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.5386515855789185,
-0.06763743609189987,
-0.003717749612405896,
0.4504903554916382,
-0.2661324739456177,
-1.0955138206481934,
0.9631453156471252,
0.8335102796554565,
-0.7525882720947266,
-0.22482967376708984,
-0.5285855531692505,
0.5917253494262695,
-0.5076301097869873,
-0.045028198510408... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creating questions that (i) can be answered correctly without actually understanding the paragraph and (ii) uses same words or phrases given in the passage.
Passage: The French and Indian War (1754–1763) was the North American theater of the worldwide Seven Years' War. The war was fought between the colonies of British America and New France, with both sides supported by military units from their parent countries of Great Britain and France, as well as Native American allies. At the start of the war, the French North American colonies had a population of roughly 60,000 European settlers, compared with 2 million in the British North American colonies. The outnumbered French particularly depended on the Indians. Long in conflict, the metropole nations declared war on each other in 1756, escalating the war from a regional affair into an intercontinental conflict.
Solution: When was the French and Indian War?
Why? This question is based on the following sentence in the passage- The French and Indian War (1754–1763) was the North American theater of the worldwide Seven Years' War. It is a common convention to write (start year-end year) beside a historical event to understand when the event happened. You can ask questions like this one about dates, years, other numerals, persons, locations, noun phrases, verb phrases, adjectives, clauses etc. which exist in the paragraph.
New input: The network has the unusual distinction of having separately owned and operated affiliates which serve the same market in Tampa, Florida (WFTS-TV and WWSB) and Grand Rapids, Michigan (WZZM and WOTV), with an analogous situation arising in Kansas City, Missouri (KMBC-TV and KQTV). KQTV is licensed to St. Joseph, Missouri, which is designated by Nielsen as a separate market from Kansas City despite being located within 55 miles (89 km) of one another, while WWSB and WOTV serve areas that do not receive an adequate signal from their market's primary ABC affiliate (in the case of WWSB, this dates back to when WTSP was Tampa's primary ABC affiliate prior to 1994, with the former being necessitated to serve the southern part of the Tampa market including the station's city of license, Sarasota, due to WTSP's transmitter being short-spaced to avoid interfering with the analog signal of Miami affiliate WPLG – which like WTSP, broadcast on VHF channel 10).
Solution: | What are the two ABC affiliates for Tampa, Florida? | 0 | NIv2 | task074_squad1.1_question_generation | fs_opt | [
1.0596623420715332,
0.421040803194046,
-0.1823594570159912,
0.3208310008049011,
0.47964292764663696,
0.029561029747128487,
0.6313288807868958,
1.0995841026306152,
0.005887559615075588,
0.3037789762020111,
0.2466922253370285,
-0.16153867542743683,
-0.9228247404098511,
-0.09838016331195831,
... |
Q: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Category: BUSINESS & INDUSTRY
Clue: Just for grins, in 1986 this industrialist acquired a stake in Church & Dwight, maker of a baking soda
A: | armand hammer | 7 | NIv2 | task307_jeopardy_answer_generation_final | zs_opt | [
-0.4929732084274292,
1.2822926044464111,
0.27060025930404663,
-0.5057188272476196,
-0.24869263172149658,
-0.30390501022338867,
-0.15802718698978424,
-0.05301029607653618,
0.9963834285736084,
-0.18205273151397705,
0.29503822326660156,
0.27651113271713257,
-0.0700974091887474,
-0.72289252281... |
Detailed Instructions: 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.
Problem:Context: While inflammation predicts mortality in treated human immunodeficiency virus (HIV) infection, the prognostic significance of gut barrier dysfunction and phenotypic T-cell markers remains unclear.', 'We assessed immunologic predictors of mortality in a case-control study within the Longitudinal Study of the Ocular Complications of AIDS (LSOCA), using conditional logistic regression. Sixty-four case patients who died within 12 months of treatment-mediated viral suppression were each matched to 2 control individuals (total number of controls, 128) by duration of antiretroviral therapy-mediated viral suppression, nadir CD4(+) T-cell count, age, sex, and prior cytomegalovirus (CMV) retinitis. A similar secondary analysis was conducted in the SCOPE cohort, which had participants with less advanced immunodeficiency.', 'Plasma gut epithelial barrier integrity markers (intestinal fatty acid binding protein and zonulin-1 levels), soluble CD14 level, kynurenine/tryptophan ratio, soluble tumor necrosis factor receptor 1 level, high-sensitivity C-reactive protein level, and D-dimer level all strongly predicted mortality, even after adjustment for proximal CD4(+) T-cell count (all P ≤ .001). A higher percentage of CD38(+)HLA-DR(+) cells in the CD8(+) T-cell population was a predictor of mortality before (P = .031) but not after (P = .10) adjustment for proximal CD4(+) T-cell count. Frequencies of senescent (defined as CD28(-)CD57(+) cells), exhausted (defined as PD1(+) cells), naive, and CMV-specific T cells did not predict mortality.
Answer: Gut epithelial barrier dysfunction, innate immune activation, inflammation, and coagulation-but not T-cell activation, senescence, and exhaustion-independently predict mortality in individuals with treated HIV infection with a history of AIDS and are viable targets for interventions.
Solution: | Do gut epithelial barrier dysfunction and innate immune activation predict mortality in treated HIV infection? | 8 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.7436128258705139,
0.4189487099647522,
-0.48121732473373413,
0.16020508110523224,
0.5366016626358032,
-0.8563842177391052,
-0.060820065438747406,
0.9789034128189087,
0.03923095762729645,
0.7580740451812744,
-0.3129560947418213,
-0.5151321887969971,
-0.46838176250457764,
0.4385280013084411... |
Given the task definition and input, reply with output. 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.
What are some of their biggest cities or towns?
Hello, I'm thinking of moving to Oklahoma. What can you tell me about the state?
What kind of biotechnology do they have?
Oklahoma city is the largest city and also the capital. As of 2010, Oklahoma city has a population of 1,252,982 which makes it the largest metropolitan area. Also Tulsa has a 937,478 residents and is a metropolitan as well.
You are welcome.
| Oklahoma city is the largest city and also the capital. As of 2010, Oklahoma city has a population of 1,252,982 which makes it the largest metropolitan area. Also Tulsa has a 937,478 residents and is a metropolitan as well. | 5 | NIv2 | task576_curiosity_dialogs_answer_generation | zs_opt | [
-0.016190746799111366,
1.2877250909805298,
0.09634654968976974,
-0.14405035972595215,
0.06625166535377502,
-0.22291862964630127,
0.1207159161567688,
-0.013761123642325401,
0.3157925605773926,
0.29786771535873413,
-0.20047527551651,
0.11565424501895905,
-0.09408546984195709,
-0.226931273937... |
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