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Q: You are given a statement written in Kannada. 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: ಹೆಚ್ಚೂಕಮ್ಮಿ ಭಾರತೀಯ ಉಪಖಂಡದ ಎಲ್ಲಾ ಭಾಗಗಳಲ್ಲಿ ಮತ್ತು ಭಾರತದ ನೆರೆಯ ದೇಶಗಳಾದ ಬಾಂಗ್ಲಾದೇಶ ಹಾಗೂ <MASK>ಗಳಲ್ಲಿ ಮೇಲೋಗರವನ್ನು ಸೇವಿಸಲಾಗುತ್ತದೆ; ಬಳಸಲ್ಪಡುವ ಸ್ಥಳೀಯ ಘಟಕವಸ್ತುಗಳನ್ನು ಅವಲಂಬಿಸಿ ಮೇಲೋಗರದ ಶೈಲಿ, ರುಚಿ ಮತ್ತು ಸುವಾಸನೆಗಳು ಭಿನ್ನವಾಗಿರುವ ಮಟ್ಟಗಳಲ್ಲಿರುತ್ತದೆ.
Option A: ಲಂಡನ್
Option B: ಪಾಕಿಸ್ತಾನ
Option C: ನೇಪಾಳ
Option D: ಕೇರಳ
A:
|
ಪಾಕಿಸ್ತಾನ
| 7
|
NIv2
|
task948_wiki_cloze_kn_multiple_choice_question_answering
|
zs_opt
|
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] |
TASK DEFINITION: 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.
PROBLEM: Donatello: These mousers are incredible ! The servo mechanics , the circuitry , the articulation ... !
Raphael: Geez , Donny , why do n't you just marry _ one _ already .
SOLUTION: mousers
PROBLEM: Orphan Leader: They write about our raids in the paper .
Fox: Yeah . That 's really heavy . The Orphans , right ? Yeah , our youth worker , she talks about you guys all the time .
Orphan: We ai n't got _ one _ .
Fox: Well , that must be because you guys are so bad , they 're afraid of you .
SOLUTION: worker
PROBLEM: Kemp: An interesting mating ritual , as seen throughout the animal kingdom : The male flaps and fusses , seeking attention ; the female refuses until , eventually , the male flaps hard enough and the female succumbs .
Lucy: This _ one _ does n't end in mating .
Kemp: I think you underestimate the allure of the Devil .
SOLUTION:
|
ritual
| 8
|
NIv2
|
task401_numeric_fused_head_reference
|
fs_opt
|
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] |
instruction:
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn the fact into a question - easy! Don't just randomly remove a word from the given fact to form a question. Remember that your question must evaluate scientific understanding. Pick a word or a phrase in the given fact to be the correct answer, then make the rest of the question. You can also form a question without any WH words. For example, "A radio converts electricity into?"
question:
Fact: Mollusks are animals who lack a backbone or spinal column.
answer:
What does an animal like a mollusk lack that many other animals have?
question:
Fact: blood pressure is lowest when blood goes to the heart.
answer:
Where is blood pressure lowest?
question:
Fact: a fever can be measured with a thermometer.
answer:
|
a fever can be measured with what device?
| 9
|
NIv2
|
task040_qasc_question_generation
|
fs_opt
|
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] |
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.
[Q]: select the row whose founded record of all rows is 2nd maximum . the institution record of this row is high point university .
[A]: eq { hop { nth_argmax { all_rows ; founded ; 2 } ; institution } ; high point university }
[Q]: select the row whose ratings record of all rows is maximum . the translation of title record of this row is english showdown ! fight for stupid 6 .
[A]: eq { hop { argmax { all_rows ; ratings } ; translation of title } ; english showdown ! fight for stupid 6 }
[Q]: select the rows whose player record fuzzily matches to john senst . take the pick record of this row . select the rows whose player record fuzzily matches to paul brown . take the pick record of this row . the first record is less than the second record .
[A]:
|
less { hop { filter_eq { all_rows ; player ; john senst } ; pick } ; hop { filter_eq { all_rows ; player ; paul brown } ; pick } }
| 5
|
NIv2
|
task210_logic2text_structured_text_generation
|
fs_opt
|
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] |
Detailed Instructions: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Q: Review: As someone who likes chase scenes and was really intrigued by this fascinating true-life tale, I was optimistic heading into this film but too many obstacles got into the way of the good story it should have been.THE BAD - I'm a fan of Robert Duvall and many of the characters he has played, but his role here is a dull one as an insurance investigator.The dialog is insipid and the pretty Kathryn Harrold is real garbage-mouth. From what I read, there were several directors replacing each other on this film, and that's too bad. You can tell things aren't right with the story. I couldn't get "involved" with Treat Williams' portrayal of Cooper, either. He should have been fascinating, but he wasn't in this movie. It's also kind of a sad comment that a guy committing a crime is some sort of "folk hero," but I admit I wound up rooting for the guy, too.Not everything was disappointing. I can't complain about the scenery, from the lush, green forests of Oregon to the desert in Arizona.I'd like to see this movie re-made and done better, because it is a one-of-a-kind story. Question: is it a positive review?
A:
|
no
| 9
|
NIv2
|
task285_imdb_answer_generation
|
zs_opt
|
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You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Q: Statement: ಮಾಲ್ಡೀವಿಯನ್ ಇತಿಹಾಸದಲ್ಲಿ ಬೌದ್ಧ ಧರ್ಮದ ದೀರ್ಘಾವಧಿ ನಂತರ ಮುಸ್ಲೀಂ ವ್ಯಾಪಾರಿಗಳು ಇಸ್ಲಾಂ ಧರ್ಮದ ಅತಿ ಹಳೆಯ ಹಾಗೂ ದೊಡ್ಡ ಇಸ್ಲಾಂ ಪಂಗಡ <MASK> ಇಸ್ಲಾಂ ಅನ್ನು ಪರಿಚಯಿಸಿದರು. ಮಾಲ್ಡಿವಿಯನ್ನರು 12ನೇ ಶತಮಾನದ ಮಧ್ಯಾವದಿಯಲ್ಲಿ ಮತಾಂತರಗೊಂಡಿದ್ದರು. ಸೂಫಿ ತತ್ವಗಳಿಗೆ ಐಸ್ಲ್ಯಾಂಡಿನಲ್ಲಿ ಸುಧೀರ್ಘ ಇತಿಹಾಸವಿದೆ. ಅದಕ್ಕೆ ಸಾಕ್ಷಿಯಾಗಿ ಇಲ್ಲಿ ನಿರ್ಮಾಣಗೊಂಡಿರುವಂಹ ಸ್ಮಾರಕ ಕಟ್ಟಡಗಳು ದೇಶದ ಇತಿಹಾಸ ಬಿಂಬಿಸುವುದನ್ನು ಕಾಣಬಹುದಾಗಿದೆ. ಅವರು ಸಂತರ ಸಮಾಧಿಗಳ ಸಹಾಯವನ್ನು ಬಯಸಿ, ಮೊನ್ನೆ ಮೊನ್ನೆ ವರೆಗೂ ಅಂದರೆ 1980ರ ದಶಕದವರೆಗೂ ಬಳಸುತ್ತಿದ್ದರು. ನಂತರ ಅವರು ಕೆಲವು ಹಳೆಯ ಮಸೀದಿಗಳನ್ನು, ಇಂದು ಸಾಂಸ್ಕೃತಿಕ ಐತಿಹಾಸಿಕ ಕಟ್ಟಡಗಳನ್ನಾಗಿ ಪರಿಗಣಿಸಿರುವುದನ್ನು ನೋಡಬಹುದಾಗಿದೆ. ತಸ್ಸವುಫ್ನ ಮತ್ತೊಂದು ರೀತಿಗಳೇಂದರೆ ಧರ್ಮಾಚರಣೆಯ ಧಿಕ್ರ್ ಸಮಾರಂಭಗಳಾದ ಮೌಲುಡು ಮವ್ಲಿಡ್ ಪಠನಗಳನ್ನೋಳಗೊಂಡ (ಕ್ರೈಸ್ತ ಧರ್ಮ) ಪ್ರಭು ಭೋಜನ ಸಂಸ್ಕಾರ ಮತ್ತು ಮೊನ್ನೆಯವರೆಗೂ ಅಸ್ತಿತ್ವದಲ್ಲಿದ್ದಂತಹ ಕೆಲವು ಮಾಧುರ್ಯನಾದದ ಪ್ರಾರ್ಥನೆಗಳು. ಮೌಲುಡು ಹಬ್ಬದ ಸಂದರ್ಭಕ್ಕೆ ವಿಶೇಷವಾಗಿ ನಿರ್ಮಿಸಿರುವಂತ ಅಲಂಕೃತ ಟೆಂಟುಗಳಲ್ಲಿ ಮೌಲುಡು ಹಬ್ಬಗಳನ್ನು ಆಚರಿಸಲಾಗುತ್ತದೆ.
Option A: ಆಗ್ರಾ
Option B: ಭಾರತ
Option C: ಸುನ್ನಿ
Option D: ಬಾಂಗ್ಲಾದೇಶ
A:
|
ಸುನ್ನಿ
| 4
|
NIv2
|
task948_wiki_cloze_kn_multiple_choice_question_answering
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
Q: Sentence 1: Linda had gone on vacation.
Sentence 3: Linda began to unpack her bags
Sentence 4: Linda realized she forgot a swimsuit
Sentence 5: Linda went to the store to buy a swimsuit
Given Sentence 2: He started to take lessons.
A:
|
No
| 9
|
NIv2
|
task066_timetravel_binary_consistency_classification
|
zs_opt
|
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] |
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguishing the correct answer from the incorrect answer is not very easy. Make sure you don't accidentally provide another correct answer! Also, make sure they sound reasonable (e.g., might be on a school pop quiz). A good incorrect answer can be constructed using words associated with the question, but not the correct answer. For example, for the question "What helps plants survive?", using words like "weeds", "vase", "bee" (associated with "plant"), or "first aid", "parachute", "accident" (associated with "survive") etc. Your incorrect answers make the question hard, so these results in good incorrect answers.
Q: Fact: therapsids became more mammal-like as they evolved.
Question: what became more mammal-like as they evolved?
Correct Answer: therapsids.
A: insects.
****
Q: Fact: Meteorologists rely on satellites for data.
Question: What is a tool that meteorologists use?
Correct Answer: satellites.
A: climate.
****
Q: Fact: Valleys are formed by erosion.
Question: What are created through erosion?
Correct Answer: Valleys.
A:
|
Mountains.
****
| 4
|
NIv2
|
task042_qasc_incorrect_option_generation
|
fs_opt
|
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TASK DEFINITION: You will be given three sentences. Read them, then identify a noun phrase (person, place, or thing) or event that is shared between all three sentences. As the output, write the span of the text corresponding to that phrase in each sentence. Keep the order of the sentences, that is, your answer should look like: 1: *a phras from sentence 1e* 2: *a phras from sentence 2* 3: *a phrase from sentence 3*
PROBLEM: 1: Patrick Louchouarn , the vice president for academic affairs and chief academic officer , told KPRC that the university will not necessarily stand by the failing grades Horwitz planned to hand out . 2: University officials have not yet responded to CNN 's request for comment . 3: University officials wo n't necessarily stand by failing grades , CNN affiliate KPRC reports .
SOLUTION: 1: Patrick Louchouarn , the vice president for academic affairs and chief academic officer 2: University officials 3: University officials
PROBLEM: 1: Photographer Trupal Pandya traveled about 30 hours by air , water and land to reach this native community and take their portraits . 2: The Huaorani , which means the people or human beings , are believed to have inhabited the rainforest for thousands of years . 3: Photographer Trupal Pandya took portraits of the Huaorani people in Ecuador 's rainforest .
SOLUTION: 1: this native community 2: The Huaorani , which means `` the people '' or `` human beings 3: the Huaorani people in Ecuador 's rainforest
PROBLEM: 1: A crystal ball might be more useful for the American star , who has faced plenty of slippery slopes in her dramatic skiing career . 2: At the final meeting of the ski season in the pretty French resort of Meribel , Vonn raced to more records on the women 's World Cup tour -- a seventh downhill season title and her 18th crystal globe overall . 3: It 's also a record 18th World Cup title for the American ski star .
SOLUTION:
|
1: the American star 2: Vonn 3: the American ski star
| 8
|
NIv2
|
task281_points_of_correspondence
|
fs_opt
|
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] |
Instructions: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Input: Review: This is truly one from the "Golden Age" of Hollywood, the kind they do not make anymore. It is an unique, fun movie that keeps you guessing what is going to happen next. All the actors are perfectly cast and they are all great supporting actors. This is the first movie I saw with Ronald Colman in it and I have been a fan of his ever since. Reginald Gardiner has always been a favorite supporting actor of mine and adds a certain quality to every movie he is in. While he played a different kind of character here, he still added something to the movie that another actor cast in this character would not have added. Question: is it a negative review?
Output:
|
no
| 3
|
NIv2
|
task285_imdb_answer_generation
|
zs_opt
|
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] |
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
Q: poster
A: to display sports fandom to friends
****
Q: Picking a meat to go with crispy Brussels Sprouts.
A: Choose bacon for the dish if possible, or something similar and cured like ham or prosciutto.
****
Q: use baking soda to wash veggies
A:
|
Fill a large bowl with water. Then add a teaspoon of baking soda. Add the veggies. Soak for a minute or two. Scrub with a brush. And finally, rinse off the veggies.
****
| 4
|
NIv2
|
task080_piqa_answer_generation
|
fs_opt
|
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Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Personality: My major is business.
I like to party.
I love the beach.
I am in college.
I work part time at a pizza restaurant.
Chat history: -Hey hows it going today?
-Feeling the effects of a flu shot but it should be better by tomorrow.
-Really I am scheduled to get one next week.
Hope it is better I've a big college exam on Friday.
Personality: I own four german shepherds.
I believe in ghosts and have seen them on several occasions.
I have created my own personal religion.
I only buy convertible cars.
Chat history: -Good evening, how are you?
-Just prepping my 4 german shepherds to take their shift watching out for ghosts!
-That sounds fun. Unfortunately, I've an injury, on top of carrying twins.
-That is too bad, I started my own religion, maybe it could help you?
-I could use all the prayers I can get, this will make 5 children for me.
-Wow, that is a lot. Think they could all fit in a convertible? I only buy those.
-They could. Count me out, I vomit every morning because of the twins I'm carrying.
Wow. Vomit is gross, especially from ghosts! I have seen that happen a few times, ghosts vomiting!
Personality: She died when I was 18.
My mother is from Russia.
I've a dog.
She taught me to cook.
Chat history: -How are you doing today?
-I'm just okay today. How are you?
-I am good I am just watching Tom and Jerry with my imaginary friends.
-Imaginary friends? That is cool I guess.
-Miley Cyrus lives down the street from me she told me it was cool.
|
Hmm, interesting. Do you have any real animals to go with your imaginary friends?
| 0
|
NIv2
|
task1729_personachat_generate_next
|
fs_opt
|
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] |
Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Example input: Text: 'try and ehm go as close to ravine as possible but up towards the carved stones'.
Example output: English
Example explanation: This is an English sentence.
Q: Text: 'four inches'
A:
|
English
| 3
|
NIv2
|
task896_miam_language_classification
|
fs_opt
|
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] |
Detailed Instructions: Given a prompt and two completions from a language model, select the completion that is the least toxic with respect to continuing the prompt. Toxicity is defined as a rude, disrespectful, or unreasonable statement that is likely to make you leave a discussion. Generate either Completion A or Completion B.
Problem:Prompt: Thank you, everyone, for the Father's Day wishes.
Completion A: EddieEddie: We'll be at the end of Monday, September 12th and have a drink of your new
Completion B: There's no doubt that I wish we could be at the beach." "I wish we could be at the beach." — Fathe
Solution:
|
Completion B
| 8
|
NIv2
|
task137_detoxifying-lms_classification_toxicity
|
zs_opt
|
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] |
Teacher: Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Baloney. You are going to see real action against Herr Trump and his white supremacist agenda.
Solution: Yes
Reason: The comment suggests threat against Trump and his agendas and classified as threatening. Hence, it is a positive example
Now, solve this instance: My Uncle Lucas recently got an awesome six-month old Mercedes S-Class S65 AMG only from working online
+_+_+_+_+_+ http://www.fox-88.com
Student:
|
No
| 2
|
NIv2
|
task1722_civil_comments_threat_classification
|
fs_opt
|
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] |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
One example is below.
Q: Somali sentence: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
A: Lionel Messi is the greatest football player of all time
Rationale: The output exactly translates the Somali sentence to it's English equivalent. Even though the phrase 'greatest player ever' is translated to 'greatest player of all time', the meaning remains the same.
Q: Somali sentence: 17 Waayo, damaca jidhku waa ka gees Ruuxa, Ruuxuna waa ka gees jidhka, maxaa yeelay, kuwanu waa kala gees, si aydnaan u samayn waxyaalahaad doonaysaan.
A:
|
17 For the flesh lusteth against the Spirit, and the Spirit against the flesh: and these are contrary the one to the other: so that ye cannot do the things that ye would.
| 9
|
NIv2
|
task450_opus_paracrawl_so_en_translation
|
fs_opt
|
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0.1832326501607895,
0.6045665740966797,
0.5547327995300293,
-0.6243208646774292,
-1.0765948295593262,
-0.026285268366336823,
0.05715211480855942,
0.08244142681360245,
-0.8201030492782593
] |
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
[Q]: If it were true that you just received a(n) email from a teacher with that many errors, and assuming you have the ability to count and correct each one, then you'd be able to provide a specific number instead of an ambiguous range, along with examples of the most egregious mistakes. SYH won't help with this fairy tale, but I can.
"Teacher" is singular, "them" and "their" are plural. You flunked.
[A]: No
[Q]: Unless your dart hit the name 'Donald Trump'.
[A]: Yes
[Q]: Some choice, 'crazy Ted' makes Trump look good by comparison. As someone else put it, Trump is merely dangerous but Cruz is downright scary.
[A]:
|
No
| 5
|
NIv2
|
task1722_civil_comments_threat_classification
|
fs_opt
|
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] |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
English sentence: Blessed are the merciful: for they shall obtain mercy.
Waxaa barakaysan kuwa naxariista leh, waayo, waa loo naxariisan doonaa.
English sentence: 27 He is not the God of the dead, but the God of the living: ye therefore do greatly err.
27 Isagu ma aha Ilaaha kuwa dhintay, laakiin waa Ilaaha kuwa nool. Idinku aad baad u qaldan tihiin.
English sentence: 29 Thou hidest thy face, they are troubled: thou takest away their breath, they die, and return to their dust.
|
29 Wejigaagaad qarisaa, oo way dhibtoodaan, Naftoodaad ka qaaddaa oo way dhintaan, Oo waxay ku noqdaan ciiddoodii.
| 0
|
NIv2
|
task446_opus_paracrawl_en_so_translation
|
fs_opt
|
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] |
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'.
--------
Question: Context: The NASCAR All-Star Open qualifying race and NASCAR All-Star Race are also broadcast on MRN, despite being held at Charlotte Motor Speedway, the headquarters of SMI. Link Information: The Monster Energy NASCAR All-Star Race, formerly known as The Winston from 1985 to 2003, the Nextel All-Star Challenge from 2004 to 2007, then the Sprint All-Star Race from 2008 to 2016 Question: When was the first NASCAR All-Star Race organized?
Answer: Answer: 1985
Question: Context: Lawson accepted an offer from Yamaha to contest the 500cc World Championship as Kenny Roberts' teammate for the 1983 season. Link Information: none Question: Which season did Lawson win the most races?
Answer: Answer: none
Question: Context: Pollard attended Richmond College (now the University of Richmond) Link Information: Founded by Virginia Baptists in 1830 as a manual labor institute for men wishing to become ministers, with instruction begun by the Rev. Edward Baptist, an 1813 graduate of Hampden–Sydney College, the school was incorporated ten years later as Richmond College. Question: What was the name of University of Richmond before it was changed?
Answer:
|
Answer: Richmond College.
| 7
|
NIv2
|
task237_iirc_answer_from_subtext_answer_generation
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
آیا براى خود خدایانى از زمین اختیار کردهاند که آنها [مردگان را] زنده مىکنند؟
Output:
|
Or have they taken gods from the earth who can raise the dead?
| 1
|
NIv2
|
task657_quran_fa_en_translation
|
zs_opt
|
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Q: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
Advanced glycation end products (AGE) are involved in the progression of diabetic complications. Although our previous reports show that AGE increased dental pulp calcification, AGE accumulation is also associated with inflammation. This study examined AGE effect on the expression of inflammation factors using rat dental pulp tissues and cell cultures.', 'Receptor for AGE (RAGE), S100A8, S100A9, and interleukin (IL)-1β were selected as inflammation parameters. Rat dental pulp cells were cultured and treated with AGE, and the effects were determined by real-time PCR. An anti-RAGE antibody or MAPK pathway inhibitors (PD98059, SB203580, and SP60012) were used to investigate AGE signaling pathway.', 'The mRNA levels of RAGE, S100A8, S100A9, and IL-1β were higher in diabetic pulp tissues. AGE increased mRNA expressions of S100A8, S100A9, and IL-1β in cultured dental pulp cells. In the presence of anti-RAGE antibody, AGE did not increase in S100A8 or S100A9 expressions. The AGE-induced increases in S100A8 and S100A9 were inhibited by PD98059 and SB203580, respectively.
A:
|
Do advanced glycation end products increase expression of S100A8 and A9 via RAGE-MAPK in rat dental pulp cells?
| 7
|
NIv2
|
task847_pubmedqa_question_generation
|
zs_opt
|
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] |
Teacher: In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negative and positive element have the same absolute value you should return the positive element. The absolute value for negative numbers can be found by multiplying them by -1. After finding the element with the maximum absolute value you should return the value of that element before you applied the absolute value.
Teacher: Now, understand the problem? If you are still confused, see the following example:
[-11, 2, 3]
Solution: -11
Reason: The element with the largest absolute value is -11, since 11 > 3 > 2. This is a good example.
Now, solve this instance: [ 45.574 -74.825 -97.968 -4.291 94.622 98.883]
Student:
|
98.883
| 2
|
NIv2
|
task095_conala_max_absolute_value
|
fs_opt
|
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] |
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
Question: Is increased risk of radiographic emphysema in HIV associated with elevated soluble CD14 and nadir CD4?
Answer: HIV is an independent risk factor for radiographic emphysema. Emphysema severity was significantly greater among participants with HIV infection. Among those with HIV, nadir CD4 < 200 cells/μL and elevated soluble CD14 level were associated with emphysema, highlighting potential mechanisms linking HIV with emphysema.
|
yes
| 0
|
NIv2
|
task846_pubmedqa_classification
|
zs_opt
|
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] |
Given a sentence in Bulgarian, generate a new Bulgarian 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: Помага на преждите да вливат и излизат.
A:
|
Помага за притока на въздух в и извън.
| 4
|
NIv2
|
task415_mickey_bg_sentence_perturbation_generation
|
zs_opt
|
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] |
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Event:PersonX turns PersonY's back on PersonY. Intent: 1) to imitate them
|
Positive
| 0
|
NIv2
|
task923_event2mind_classifier
|
zs_opt
|
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] |
instruction:
In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible".
question:
The woman felt lonely, so she renovated her kitchen
answer:
plausible
question:
My breath smelled of garlic, so I threw it in the shower
answer:
not plausible
question:
The man begged for forgiveness, so he didn't have to think about it
answer:
|
not plausible
| 9
|
NIv2
|
task391_causal_relationship
|
fs_opt
|
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] |
Instructions: In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Input: Sentence: 'a stuffed large cat sits on the desk in a dark room'. How many words end with the letter 'e' in the sentence.
Output:
|
2
| 3
|
NIv2
|
task163_count_words_ending_with_letter
|
zs_opt
|
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] |
Q: Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Context: The water that comes out of our faucets is safe because it has gone through a series of treatment and purification processes to remove contaminants. Those of us who are fortunate enough to always be able to get clean water from a tap in our home may have trouble imagining life in a country that cannot afford the technology to treat and purify water. Many people in the world have no choice but to drink from the same polluted river where sewage is dumped. One- fifth of all people in the world, more than 1.1 billion people, do not have access to safe water for drinking, personal cleanliness, and domestic use. Unsafe drinking water carries many pathogens, or disease-causing biological agents such as infectious bacteria and parasites. Toxic chemicals and radiological hazards in water can also cause diseases. Waterborne disease caused by unsafe drinking water is the leading cause of death for children under the age of five in many nations and a cause of death and illness for many adults. About 88% of all diseases are caused by drinking unsafe water (Figure 1.1). Throughout the world, more than 14,000 people die every day from waterborne diseases, such as cholera, and many of the worlds hospital beds are occupied by patients suffering from a waterborne disease. Guinea worm is a serious problem in parts of Africa that is being eradicated. Learn what is being done to decrease the number of people suffering from this parasite at the video below. Click image to the left or use the URL below. URL:
Question: which of these is an example of a waterborne disease?
A:
|
cholera
| 7
|
NIv2
|
task469_mrqa_answer_generation
|
zs_opt
|
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] |
Detailed Instructions: Given a sentence in Bulgarian, generate a new Bulgarian 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.
Problem:Можете да преградите преден двор, за да расте град.
Solution:
|
Можете да блокирате преден двор, за да окачите черква.
| 8
|
NIv2
|
task415_mickey_bg_sentence_perturbation_generation
|
zs_opt
|
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] |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Input: אחרי שבועיים ללא קשר אנושי, טורי הצליחה לתקשר עם ספינת משא מקומית דרך רדיו VHF.
Output:
|
بعد أسبوعين من انقطاع الاتصال ، استطاعت توري أن تتصل بسفينة محلية للشحن باستخدام الأمواج عالية التردد.
| 2
|
NIv2
|
task1237_ted_translation_he_ar
|
zs_opt
|
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] |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Q: just from the other town
A:
|
Did you move from near-by?
| 4
|
NIv2
|
task568_circa_question_generation
|
zs_opt
|
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] |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Example Input: ['p', 'j', 'p', 3253, 'L', 'X', 1755, 4489, 'n', 'V', 7833, 9835, 9139, 't', 3153, 5695, 7775, '6669', 'e', 'm', '5223', '8817', 's', '9893', '9405', 'b', 'c', 'Q', 'd', '7239', 'H', '55', 'f', 'P', 'l', 'O', '65', '2513', '2417', '8039', '7095', 'm', 'n', '3597', 'O', '6129', 'Y', 6177, 'q', 155, 'O', 3591, 'z', 'M', 'Q', 'v', 'e', 4571, 8539], ['K', 'D', 3165, '6669', 'e', 'm', '5223', '8817', 's', '9893', '9405', 'b', 'c', 'Q', 'd', '7239', 'H', '55', 'f', 'P', 'l', 'O', '65', '2513', '2417', '8039', '7095', 'm', 'n', '3597', 'O', '6129', 'N', 'W', 'g', 2189, 'q', 'm', 'x', 3317, 'S', 'K', 'u', 3559, 3153, 'u', 3061]
Example Output: 6669, e, m, 5223, 8817, s, 9893, 9405, b, c, Q, d, 7239, H, 55, f, P, l, O, 65, 2513, 2417, 8039, 7095, m, n, 3597, O, 6129
Example Input: [5587, 5085, 'i', 'H', 9133, 'D', 'y', 'M', 't', 'r', '7787', '1083', 'F', '8153', 'i', '979', 'b', 'z', 'g', '1657', 't', '2281', '8149', '7429', 'o', 'I', 573, 1699, 'M', 'm', 'r', 'o', 2659, 8785], ['T', 'h', 9991, 'c', 'J', 'Z', 'Z', 1541, 7687, 'z', 1961, 'A', 9619, 'b', 'o', 'r', '7787', '1083', 'F', '8153', 'i', '979', 'b', 'z', 'g', '1657', 't', '2281', '8149', '7429', 'o', 'p', 6099, 'W', 'V', 'Z', 4553, 5651]
Example Output: r, 7787, 1083, F, 8153, i, 979, b, z, g, 1657, t, 2281, 8149, 7429, o
Example Input: [2787, 'N', 'I', 'M', 'x', '3825', 'r', '1041', 'y', 'a', 'v', 6057], ['F', 6523, 'x', '3825', 'r', '1041', 's', 'C', 3001, 8425]
Example Output:
|
x, 3825, r, 1041
| 3
|
NIv2
|
task605_find_the_longest_common_subsequence_in_two_lists
|
fs_opt
|
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] |
In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb, Num: Number, Misc: Miscellaneous, Pron: Pronoun, Prep: Preposition, Punc: Punctuation.
Let me give you an example: 1968 : 1.
The answer to this example can be: Num Punc Num Punc
Here is why: Based on the given question, All of the POS tags are correct.
OK. solve this:
Valerie Hardie
Answer:
|
N N
| 8
|
NIv2
|
task1543_conll2002_parts_of_speech_tagging_answer_generation
|
fs_opt
|
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] |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
و "" هوارد "" به ادوات اندازه گیری بسیار علاقمند است.
|
E Howard interessa-se muito por medir coisas.
| 5
|
NIv2
|
task1273_ted_translation_fa_pt
|
zs_opt
|
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] |
Detailed Instructions: In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate female and male, respectively.
Q: M: My boss told me never to go to work again! ,F: I can't believe it, why? ,M: I don't know. What he told me that I was so confused. ,F: Did you usually go to work late? ,M: Well, I often did. ,F: When you were working, did you think about other things? ,M: Sometimes. ,F: Could you use a computer? ,M: No, I can only use a typewriter. ,F: Well, I think I know why. You didn't use your time well and you didn't learn new things.
(A) M: Maybe you're right. My inability to use a printer lets me lose my job. (B) M: Maybe you're right. My ability to use a computer lets me lose my job. (C) M: I’m sorry, I don’t understand. Could you say it again? (D) M: Maybe you're right. My inability to use a computer lets me lose my job.
A:
|
D
| 9
|
NIv2
|
task611_mutual_multi_turn_dialogue
|
zs_opt
|
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
We propose a local coherence model based on a convolutional neural network that operates over the entity grid representation of a text. The model captures long range entity transitions along with entity-specific features without loosing generalization, thanks to the power of distributed representation. We present a pairwise ranking method to train the model in an end-to-end fashion on a task and learn task-specific high level features. Our evaluation on three different coherence assessment tasks demonstrates that our model achieves state of the art results outperforming existing models by a good margin.
Solution: A Neural Local Coherence Model
Why? This statement "A Neural Local Coherence Model" is taken from the subtext "convolutional neural network" and its explanation in the passage. This is a positive example because the title belongs to the mentions in the passage
New input: In this study, we introduce a new approach for learning language models by training them to estimate word-context pointwise mutual information (PMI), and then deriving the desired conditional probabilities from PMI at test time. Specifically, we show that with minor modifications to word2vec’s algorithm, we get principled language models that are closely related to the well-established Noise Contrastive Estimation (NCE) based language models. A compelling aspect of our approach is that our models are trained with the same simple negative sampling objective function that is commonly used in word2vec to learn word embeddings.
Solution:
|
A Simple Language Model based on PMI Matrix Approximations
| 0
|
NIv2
|
task1540_parsed_pdfs_summarization
|
fs_opt
|
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] |
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
Let me give you an example: ਪੱਛਮ ਤੋਂ ਪੂਰਬ ਤੱਕ ਊਰਜਾ ਖਪਤ ਵਿੱਚ ਇੱਕ ਤਬਦੀਲੀ ਆਈ ਹੈ।
The answer to this example can be: പടിഞ്ഞാറ് നിന്ന് കിഴക്കോട്ട് energy ർജ്ജ ഉപഭോഗത്തിൽ മാറ്റം വരുത്തിയിട്ടുണ്ട്.
Here is why: Correct translation for given sentence. Input sentence means 'There has been a change in energy consumption from the west to east.' which is the same as the output sentence.
OK. solve this:
ਇਹ ਯਕੀਨੀ ਬਣਾਉਣ ਦੇ ਆਪਣੇ ਉਦੇਸ਼ ਦੀ ਪੂਰਤੀ ਲਈ ਕਿ ਕਾਨੂੰਨ ਮਜ਼ਬੂਤ ਆਰਥਿਕ ਸਿਧਾਂਤਾਂ ਦੀ ਲੋੜ ਉੱਤੇ ਪੂਰਾ ਉਤਰਦਾ ਹੋਵੇ, ਸਰਕਾਰ ਨੇ ਪ੍ਰਤੀਯੋਗਿਤਾ ਕਾਨੂੰਨ ਦੀ ਸਮੀਖਿਆ ਲਈ ਕੰਪੀਟੀਸ਼ਨ ਲਾਅ ਰਿਵੀਊ ਕਮੇਟੀ ਗਠਿਤ ਕੀਤੀ ਹੈ।
Answer:
|
ഈ സാഹചര്യത്തില് കോംപറ്റീഷന് ആക്റ്റ് കൂടുതല് കരുത്തുള്ളതാക്കിത്തീര്ക്കുകയും രാജ്യത്തെ പൗരന്മാരുടെ പ്രതീക്ഷകള് നിറവേറ്റാനും പൗരന്മാരുടെ പണത്തിനു മൂല്യം ഉറപ്പാക്കാനും ഉതകുംവിധം കൃത്യതയുള്ളതാക്കിത്തീര്ക്കുകയും ചെയ്യേണ്ടത് അനിവാര്യമാണ്.
| 8
|
NIv2
|
task1006_pib_translation_punjabi_malayalam
|
fs_opt
|
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] |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example Input: This one girl will not stop staring at me! I dont have any friends with me to do a booger check Ill just chalk it up to her being rude.
Example Output: negative
Example Input: one more day left then back to school
Example Output: negative
Example Input: @AbhorrentAspen that was mean
Example Output:
|
negative
| 3
|
NIv2
|
task195_sentiment140_classification
|
fs_opt
|
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] |
Instructions: You are given an elementary science question along with a few answer options. List all the words from the question that are essential and sufficient for choosing the correct answer option. Keep in mind that essential words are necessary to understand the meaning of the given question. However, non-essential words provide little information needed to select the correct answer. You can think about it like this: If the question was in another language, knowing the meaning of which words were necessary and enough for you to understand the question and answer it?. If your answer consists of multiple spans of words from the question, separate those using a comma (", "). Do not generate any word that is not present in the question. Make sure that your response is contained in the given question and the words are in the same order as the question.
Grammatical correctness is not important.
Input: Question: Which of these tools would be best to use when observing insects in a field? (A) compass (B) hand lens (C) microscope (D) thermometer?
Output:
|
tools, observing, insects, field?
| 3
|
NIv2
|
task044_essential_terms_identifying_essential_words
|
zs_opt
|
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TASK DEFINITION: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few words as possible from the given context. Use a response that is uncommon/non-stereotypical, so that it is less predictable. To be less repetitive, please vary your language for each question.
PROBLEM: Context: I believe that Hillary Clinton supporters ( I was n't one of them , so please do correct me ) wanted to vote for Hillary because she is a woman AND they support her stance on important issues . The fact that Gov. Palin is so far on the right makes it hard for me to believe that this pick is swaying Hillary supporters to the dark side . But I really started writing this post to respond to this woman 's comment about Bristol 's pregnancy and its effect on Gov.
Question: What may be the reason for posting this ?
SOLUTION: To describe the political moment.
PROBLEM: Context: We visited the Eiffel Tower , UNESCO headquarters and sailed down the river Seine on a bateau - mouche and that was only day one . The next day we had to walk as the transport workers were on strike ( strike in France - unusual ! ! ) . We went to the Opera House which was perhaps the most beautiful building ever and shopped in the Galaries Lafayette ( Paris ' most famous department store ) . In the afternoon we visited the Sacre - Coeur and lunched in the Place du Tertre .
Question: How would the speaker feel after they returned home ?
SOLUTION: They would want to tell everyone .
PROBLEM: Context: The warm golden scenery betraying just how biting cold it was outside . Darren clutched himself and shivered slightly despite the cozy warmth that fulfilled the house . He considered returning to bed and into the arms of his husband but decided to go downstairs to be alone and in silence while he tried to remember his dream .
Question: What do you know about the narrator 's Husband ?
SOLUTION:
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He is gay .
| 8
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NIv2
|
task024_cosmosqa_answer_generation
|
fs_opt
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] |
Detailed Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Q: 1, 13, ['G', '8681', 'P', '1937', '9725', 's', 'e', '6449', '3349', 'A', 'e', 'R', '1235', 'u', '2023', 'o', '3691', '3857', '1311', 'f', '3761', '2953', '6455', 'W']
A:
|
1235, R, e, A, 3349, 6449, e, s, 9725, 1937, P, 8681, G
| 9
|
NIv2
|
task099_reverse_elements_between_index_i_and_j
|
zs_opt
|
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] |
Definition: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Input: Article: the us government is releasing ### million dollars in aid meant to help eligible low-income households heat their homes this winter , white house spokeswoman dana perino announced wednesday . Title: aig bailout fails to calm global markets
Output:
|
no
| 2
|
NIv2
|
task289_gigaword_summarization
|
zs_opt
|
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] |
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 PersonX needs what is mentioned in the Tail before the Head or not. Here need is a precondition for PersonX to achieve the event. For example, in order for PersonX to give PersonY gifts, PersonX must first buy the presents. 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 becomes distracted<sep>Tail: to becomes distracted
Yes
Head: PersonX begins to hurt<sep>Tail: cry
No
Head: PersonX buys an expensive car<sep>Tail: go to a car dealer
|
Yes
| 0
|
NIv2
|
task1202_atomic_classification_xneed
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an article. Your task is to summarize the article in a sentence.
The International Union for Conservation of Nature says just over 1300 animals were killed, bringing the total number to just under 6000 since 2008.
It is a mixed picture. South Africa which has 79% of Africa's rhinos, has seen poaching fall slightly. Their success is put down to many things including better law enforcement.
There are around 30,000 rhinos left in all of Africa.
However some other countries have seen a big increase in poaching.
Overall the white rhino population is stable whilst the black has gone up slightly.
Output:
|
The number of southern white and black rhinos in Africa being poached has increased for the sixth year in a row.
| 1
|
NIv2
|
task1290_xsum_summarization
|
zs_opt
|
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-0.4640369713306427,
-0.4486085772514343,
0.45588040351867676,
-0.36461561918258667,
0.7677634954452515,
0.8398839831352234,
-0.007309157866984606,
0.4696366786956787,
-0.712277352809906,
-0.07044800370931625,
-0.12473827600479126
] |
Teacher:In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix' instead of 'one thousand seven hundred six'.
Teacher: Now, understand the problem? Solve this instance: ninefiveeightfourninezerotwofourfivesixfivetwo
Student:
|
958490245652
| 6
|
NIv2
|
task1443_string_to_number
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
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.
Problem:Command: eq { hop { nth_argmax { all_rows ; location attendance ; 2 } ; team } ; dallas }, interpretation: select the row whose location attendance record of all rows is 2nd maximum . the team record of this row is dallas .
Solution:
|
yes
| 8
|
NIv2
|
task211_logic2text_classification
|
zs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].
Duncan Leads Spurs Past Hornets 83-69 (AP) AP - Tim Duncan had 19 points and 12 rebounds to lead the San Antonio Spurs to their third straight victory, 83-69 over the New Orleans Hornets on Friday night.
Output:
|
Sports
| 1
|
NIv2
|
task379_agnews_topic_classification
|
zs_opt
|
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] |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Q: Un tren cargado con pavos congelados, dicen, el día de Acción de Gracias proveniente de los mataderos públicos de Nueva York.
A:
|
که پر از بوقلمون یخ زده برای روز شکرگزاری بود و از منطقه بسته بندی گوشت می آمد.
| 4
|
NIv2
|
task1103_ted_translation_es_fa
|
zs_opt
|
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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 will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
M: I am considering dropping my dancing class. I am not making any progress. W: If I were you, I stick with it. It's definitely worth time and effort., Question: What does the man suggest the woman do?
Solution: Take a more interesting class.
Why? This is a good example. Based on the conversation, the man thinks the dancing class is worth time and effort. So, the man doesn't suggest her to take a more interesting class and one of the wrong answers is "Take a more interesting class.".
New input: W: Today's November 15th. It's almost time for Thanks giving. M: When is Thanksgiving Day? W: It's celebrated on the fourth Thursday in November. What are your plans for it? M: I have no idea yet. What about you? W: The same as usual. My aunts and uncles and cousins come to our house for dinner. M: Oh, your family get together. What do you usually do? W: We usually have a big meal. My mother cooks turkey. But I prepare the vegetables. My aunts usually bring the pies. The women cook the meal, and the men wash the dishes. M: Really? In my family, when we get together the kids wash the dishes. The whole thing is a lot of work. W: Yes, but I like Thanksgiving. I was out of the country last year, and really missed it. That's one time in the year when families get together. John, if you haven't got any plans, why don't you come to my house to spend the holiday with us? M: Yes, that sounds like a good idea. Thanks a lot., Question: What does the woman's mother usually cook?
Solution:
|
Vegetables.
| 0
|
NIv2
|
task283_dream_incorrect_answer_generation
|
fs_opt
|
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] |
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.
[Q]: Category: AMERICAN ARTISTS
Clue: From 1919 to 1924, this artist taught art in the public schools of Cedar Rapids, Iowa
[A]: grant wood
[Q]: Category: 20th CENTURY AUTHORS
Clue: A novel set during the Depression earned this author a 1940 Pulitzer Prize & contributed to him winning a Nobel Prize in 1962
[A]: john steinbeck
[Q]: Category: AWARD-WINNING AUTHORS
Clue: The only Oscar winner also to win a Nobel Prize, this European won a 1938 Oscar for adapting his own play
[A]:
|
george bernard shaw
| 5
|
NIv2
|
task307_jeopardy_answer_generation_final
|
fs_opt
|
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] |
You will be given a definition of a task first, then some input of the task.
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question to be answered. Each step in our decomposition should refer to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.)
Here are the list of step templates and their description:
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
question: what was richard wagner primary instrument?
Output:
|
#1 return richard wagner
#2 return primary instrument of #1
| 1
|
NIv2
|
task176_break_decompose_questions
|
zs_opt
|
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] |
Definition: In this task, you need to 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: The Acropolis had been scheduled for the treatment too , but apparently it was to take place at the time of the full moon when the Athenians themselves , out of respect for the natural beauty of the occasion , were wont {{ to }} forgo their own usual nocturnal illumination .
Word: to
Output:
|
PRT
| 2
|
NIv2
|
task1168_brown_coarse_pos_tagging
|
zs_opt
|
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] |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
concept: Universal Studios Hollywood answers: ['Glendale', 'Universal City', 'Hollywood']
where is universal studios california theme park?
concept: Abraham Lincoln answers: ['Hodgenville']
where is abraham lincoln hometown?
concept: Bella Abzug answers: ['Lawyer']
|
what did bella abzug do?
| 0
|
NIv2
|
task1602_webquestion_question_genreation
|
fs_opt
|
[
-0.9037908911705017,
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] |
In this task, you need to reverse the order of words in the given sentence.
[EX Q]: Sentence: three white plates topped with three different pizzas
[EX A]: pizzas different three with topped plates white three
[EX Q]: Sentence: a man on skis stands on top of a mountain
[EX A]: mountain a of top on stands skis on man a
[EX Q]: Sentence: a cat curled up on the floor of a bathroom
[EX A]:
|
bathroom a of floor the on up curled cat a
| 6
|
NIv2
|
task376_reverse_order_of_words
|
fs_opt
|
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] |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine 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 : '$': Dollar Sign, "''": Single Quotes, ',': Comma Symbol, '-LRB-': Left Parantheses, '-RRB-': Right Parantheses, '.': Period, ':': Colon, 'ADD': Email Address, 'AFX': Affix, 'CC': Coordinating conjunction, 'CD': Cardinal Number, 'DT': Determiner, 'EX': Existential there, 'FW': Foreign Word, 'GW': Go with, 'HYPH': Hyphen symbol, 'IN': Preposition or a subordinating conjunction, 'JJ': Adjective, 'JJR': A comparative Adjective, 'JJS': A Superlative Adjective, 'LS': List item Marker, 'MD': Modal, 'NFP': Superfluous punctuation, 'NN': Singular Noun, 'NNP': Singular Proper Noun, 'NNPS': Prural Proper Noun, 'NNS': Prural Noun, 'PDT': Pre-determiner, 'POS': Possessive Ending, 'PRP': Personal pronoun, 'PRP$': Possessive Pronoun, 'RB': Adverb, 'RBR': Comparative Adverb, 'RBS': Superlative Adverb, 'RP': Particle, 'SYM': Symbol, 'TO': To , 'UH': Interjection, 'VB': Base form Verb, 'VBD': Verb in Past tense, 'VBG': Verb in present participle, 'VBN': Verb in past participle, 'VBP': Verb in non-3rd person singular present, 'VBZ': Verb in 3rd person singular present, 'WDT': Wh-determiner, 'WP': Wh-pronoun, 'WP$' Possessive Wh-pronoun, 'WRB': Wh-adverb, 'XX': Unknown, '``': Double backticks.
Sentence: << File : {{ Tabors }} Conflict Letter Alberta Export 050901.doc >>
Word: Tabors
|
GW
| 0
|
NIv2
|
task584_udeps_eng_fine_pos_tagging
|
zs_opt
|
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Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Let me give you an example: But Eluned Morgan conceded that it would be "difficult for us to stop" from a legal point of view. Her comments were criticised by a Labour AM. Alun Davies said threatening legal action "sounds like the last breath before you're thrown out of the pub". Mr Davies said he was not convinced the Welsh Government would "have a leg to stand on" in trying to shape international trade deals after Brexit. Following Donald Trump's comments during last week's trade visit that the NHS would be "on the table" in any future trade talks between the UK and the USA, Eluned Morgan said there was "absolutely no prospect whatsoever of us allowing the Welsh NHS to be part of any negotiation." The US President then rowed back on his initial comments following criticism from a number of MPs. Asked about her response to President Trump's remarks as she gave evidence to the Assembly's Brexit committee on Monday, Ms Morgan said "legally, it would be difficult for us to stop because we don't have a veto over trade". "Politically, I think it's extremely unlikely to happen," the international relations and the Welsh language minister said. "They [the UK Government] should not be concluding any trade agreements without consulting us where we have the power." Ms Morgan explained that UK and Welsh government officials are working on an agreement or 'concordat' for how future trade deals are negotiated. During a robust exchange, the Labour AM Alun Davies said: "I want something which is in law to which I can hold you to account and which colleagues in Westminster can hold the UK Government to account. "The argument we'll make life difficult for them, it sounds alright on the street, but it's not the reality of intergovernmental relations." "The United Kingdom has to find a way of functioning. "At the moment, your answers aren't giving me any confidence that there is that structure in place because, if the Welsh Government's argument is, 'we'll see you in court', it's not a very impressive argument either for the continuation of the structure of United Kingdom as a state or the commitment of the government within the United Kingdom to actually work together," he added. Responding to the criticism, Ms Morgan said: "Is the current intergovernmental structure adequate? "Absolutely not... and it's not just in relation to trade, it's in relation to almost every aspect of government policy. So, that infrastructure needs to be built."
The answer to this example can be: NHS Wales: Court action if trade deals affect service?
Here is why: The output phrase is the appropriate title for the given text and it highlights the essence of the passage.
OK. solve this:
By Adam MynottBBC News, Tunis A legitimate one: Zine al-Abidine Ben Ali, re-elected in 2009 with 89.4% of the vote; an illegitimate one: Mohammed Ghannouchi, who took on the job on Friday even though the decision to do so contravened the Tunisian constitution; and now an interim one: Foued Mebazza, who as Speaker of the Tunisian parliament should have been given the job as soon as Mr Ben Ali was removed from office. Now the interim President, Fouad Mebazza is working hard to put together an acting government ahead of elections which are due to be called within three months. These are very uncertain hours in Tunisia. The country has been thrown into turmoil by a series of cataclysmic events which unfolded in the space of a few hours. That uncertainty is very apparent on the streets of the capital, Tunis. In residential areas it looks as though mobs of stick-wielding thugs are on the loose, but on closer inspection it soon becomes clear that these are not hoodlums, but respectable, upstanding members of the community who have been reduced to desperate measures to protect their property. I spoke to a doctor who was carrying two rocks and a wooden club in his hands. "Do you think I want to do this?" he asked me. "Of course I don't, but I have been out here night and day for the past 48 hours. There are gangs of criminals on the loose and I have to look after what is mine." I asked him about the police - where they were, and shouldn't they have been protecting his home? "The police are nowhere to be seen, and anyway, they are part of the past," he said. "They were the foot soldiers of Ben Ali so no-one trusts them." Crimewave The immediate future of Tunisia is in the hands of the military. That is not to say they were part of the process that saw President Ben Ali flee. This was not a coup. But his sudden departure, preceded by the dissolution of the government and the Tunisian parliament, has hurled the country into a crisis of unprecedented proportions and it needed some powerful institution to assert control. That is what the army is trying to do. For the most part, the military is respected in the country, unlike the police who are reviled. So Tunisians have some understanding and tolerance for the numerous military checkpoints that they now have to go through to get from one side of Tunis to the other. The army is trying to limit the inevitable crimewave that follows on the heels of a government collapse. There is looting, theft and general abuse happening everywhere. As we were driving into Tunis after a journey to Hamamet we saw dozens of youths carrying boxes of yoghurt across the motorway. They were stealing from a dairy that had been abandoned in the turmoil. Soldiers had just arrived and were firing in the air to persuade the thieves to stop. Tanks have been parked outside the state television headquarters, next to government buildings and at many main road intersections. 'We have made history' Despite the fear and uncertainty, there is a powerful sense of achievement and rejoicing - particularly among the young. At the start of the wave of protests in the country which began four weeks ago, few would have expected to topple a government and a president who had been in power for 23 years so quickly. Mr Ben Ali has become so much a part of national consciousness that some fear there is still a risk he might come back, that he hasn't been written out of Tunisia's story completely. All I spoke to were determined not to let him. I spoke to a young man, Alaedine Derbala, one of a group who were standing armed with sticks and stones to protect their homes. "We have made history," he said, "January the fourteenth will go down as a great day for Tunisia, the day we changed the country for ever. "We got rid of a hated man and his hated family. Now we have the possibility of creating a new country. "We have martyrs who have died for this and we can't let them down. So we cannot allow this to falter." Alaedine expressed a view I have heard everywhere: too much has been sacrificed and too much blood has been spilt to let the hope of a democratic future fail.
Answer:
|
Tunisia revolt: Fear and rejoicing in Tunis
| 8
|
NIv2
|
task1356_xlsum_title_generation
|
fs_opt
|
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] |
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: religious or non-political religious on the topic.
Problem:থুর চোতমারানী মাগী তুই জীতিয় বেইমান
Solution:
|
non-religious
| 8
|
NIv2
|
task1492_bengali_religious_hate_speech_binary_classification
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Problem:(A) not wanting to drive my friend to the store
(B) refusing to share a bed with a coworker at a mandatory conference
Solution:
|
A
| 8
|
NIv2
|
task106_scruples_ethical_judgment
|
zs_opt
|
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] |
Teacher:You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? Solve this instance: Statement: അറബി കവിതകളിൽ നിന്നുമാണ് ഗസലിന്റെ ഉത്ഭവം. <MASK> നിന്നും പത്താം ശതകത്തിൽ പേർഷ്യ സ്വീകരിച്ച കവിതാരൂപമാണ് ഖസീദ. ഖസീദയിൽ നിന്നുമാണ് ഗസൽ വളർന്നത്. ഏതാണ്ട് പന്ത്രണ്ടാം നൂറ്റാണ്ടിലാണ് ഭാരതത്തിൽ ഗസലിന്റെ പ്രവേശം. ഈ ശാഖയ്ക്ക് സംഭാവനകൾ നൽകിയതിൽ പ്രമുഖൻ അമീർ ഖുസ്രു ആണ്. ശോകപ്രണയത്തിനാണ് ഇതിൽ മുൻതൂക്കം. ഭാരതത്തിൽ ഉറുദുവിലും കശ്മീരി ഭാഷയിലും ഗസൽ രചന നടന്നിട്ടുണ്ട്. ഗസൽ കവിതാരൂപത്തിൽ നിന്നും മാറി ഒരു സംഗീതമെന നിലയിൽ വളരുന്നത് 18,19 നൂറ്റാണ്ടുകളിലാണ്. ഈരടികളിൽ പാടുന്നവയാണ് ഗസലുകൾ. ആദ്യത്തെ ഈരടിയ്ക്ക് മത്ല എന്ന് പറയുന്നു. അവസാന ഈരടിയ്ക്ക് മഖ്ത എന്നും. ഹിന്ദി ചലച്ചിത്ര ഗാനശാഖ ഗസലിനു ജനങ്ങൾക്കിടയിൽ പ്രചരിയ്ക്കാനുള്ള അവസരം നൽകി. കെ.എൽ. സൈഗാൾ, മുഹമ്മദ് റഫി ഇവർ പ്രമുഖരാണ്.
Option A: ഇറാനിൽ
Option B: ഇന്ത്യയുടെ
Option C: ബംഗ്ലാദേശ്
Option D: പാകിസ്താൻ
Student:
|
ഇറാനിൽ
| 6
|
NIv2
|
task949_wiki_cloze_ml_multiple_choice_question_answering
|
zs_opt
|
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] |
Teacher:We would like you to classify each of the following sets of argument pairs (discussing Gay Marriage) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FACET is a low level issue that often reoccurs in many arguments in support of the author's stance or in attacking the other author's position.
Teacher: Now, understand the problem? Solve this instance: Sent1: And that debate also settled on "No, BEING gay isn't wrong", thus the act of gay marriage for gay people should also be considered a net win for society, and in no occurrences a wrong thing.
Sent2: Homosexual marriage is something that religious people disagree with by drawing a false line between right and wrong.
Student:
|
Similar
| 6
|
NIv2
|
task147_afs_argument_similarity_gay_marriage
|
zs_opt
|
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1.2595977783203125
] |
You will be given a definition of a task first, then some input of the task.
This task is about translating a given Yoruba language sentence to English.
Àì-mọwọ́-ọ́-wẹ̀ ni àì-bágbà-jẹ; ọmọ tó mọwọ́ọ́ wẹ̀ á bágbà jẹ.
Output:
|
Not-knowing-how-to-wash-one's-hands is not-eating-with-elders; a person who knows how to wash his hands will eat with elders.
| 1
|
NIv2
|
task1686_menyo20k_translation
|
zs_opt
|
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] |
instruction:
Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
question:
Bạn có thể tìm thấy một chiếc máy ảnh trong một chiếc mũ.
answer:
Rất có thể bạn sẽ tìm thấy một sân chơi trong một thành phố.
question:
Rất có thể bạn sẽ tìm thấy một tấm séc trong sổ ngân phiếu.
answer:
Rất có thể bạn ngửi thấy mùi cá voi trong một cuốn sách vật lý.
question:
Nếu anh muốn đi câu cá thì anh nên mua một con cá.
answer:
|
Nếu anh muốn đi câu cá thì anh nên mua một chiếc tàu đánh cá.
| 9
|
NIv2
|
task411_mickey_vi_sentence_perturbation_generation
|
fs_opt
|
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] |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Citește mai mult: Nu ai întâlnit niciodată pe cineva care să fie pro-avort?
|
Read More: You have never met anyone that is Pro-Abortion?
| 5
|
NIv2
|
task1435_ro_sts_parallel_language_translation_ro_to_en
|
zs_opt
|
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] |
In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
One example: Sentence: 'as a guy jumps over the snow with his snowboard people riding on the lift behind him look on'. Reverse all words of length '6' in the given sentence.
Solution is here: as a guy jumps over the snow with his snowboard elpoep gnidir on the lift dniheb him look on
Explanation: Words 'people', 'riding', 'behind' are of length 6. Reversing these words results in 'elpoep', 'gnidir', and 'dniheb' respectively. So this is a correct answer.
Now, solve this: Sentence: 'a person cross country skiing on a sunny day'. Reverse all words of length '7' in the given sentence.
Solution:
|
a person cross yrtnuoc skiing on a sunny day
| 6
|
NIv2
|
task378_reverse_words_of_given_length
|
fs_opt
|
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] |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expressions abbreviated. Questions regarding human beings, description of a person, and a group or organization of persons are categorized as Human. Quantity questions are asking about numeric values and Location questions ask about locations, cities, and countries. Answer with "Description", "Entity", "Abbreviation", "Person", "Quantity", and "Location".
Input: Consider Input: In what ways did Ivan IV support Russian expansion ?
Output: Entity
Input: Consider Input: What is the name of the gulf between Sweden and Finland ?
Output: Location
Input: Consider Input: What mountain range extends from the Gulf of St. Lawrence to Alabama ?
|
Output: Location
| 2
|
NIv2
|
task1289_trec_classification
|
fs_opt
|
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] |
Detailed Instructions: In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as 'a', 'b', 'c', or 'd'. If you think more than one option is plausible, choose the more probable option to help you answer the question.
Q: Question: When did Michael die? Passage:The fact that Byzantium in its dealings with the barbarians generally preferred diplomacy to war is not surprising. For the East Romans, faced with the ever-present necessity of having to battle on two fronts — in the east against Persians, Arabs and Turks, in the north against the Slavs and the steppe nomads — knew from personal experience how expensive war is both in money and manpower. The Byzantines were skilled at using diplomacy as a weapon of war. If the Bulgars threatened, subsidies could be given to the Kiev Rus. A Rus threat could be countered by subsidies to the Patzinaks. If the Patzinaks proved troublesome, the Cumans or Uzès could be contacted. There was always someone to the enemy’s rear in a position to appreciate the emperor's largesse. Another innovative principle of Byzantine diplomacy was effective interference in the internal affairs of other states. In 1282, Michael VIII sponsored a revolt in Sicily against Charles of Anjou called the Sicilian Vespers. Emperor Heraclius once intercepted a message from Persian rival Khosrau II which ordered the execution of a general. Heraclius added 400 names to the message and diverted the messenger, provoking a rebellion by those on the list. The emperor maintained a stable of pretenders to almost every foreign throne. These could be given funds and released to wreak havoc if their homeland threatened attack.
Links: a. Kievan Rus' b. Sicilian Vespers c. Charles I of Anjou d. Michael VIII Palaiologos
A:
|
d
| 9
|
NIv2
|
task231_iirc_link_classification
|
zs_opt
|
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] |
Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given paragraph.
Q: Paragraph- Sent 1: Have you ever seen an egg?
Sent 2: Some animals do not have live births.
Sent 3: Instead, they lay eggs.
Sent 4: The eggs contain the embryo.
Sent 5: The embryo matures in the egg.
Sent 6: With time, it will hatch.
Sent 7: Some animals hatch and do not need care from their parents.
Sent 8: They are ready to live on their own.
Sent 9: Other animals will still need the care of their parents.
Sent 10: Sea turtles break out of their shells.
Sent 11: They immediately walk to the ocean.
Sent 12: They do this with no help from an adult.
Sent 13: Birds stay in the nest for many weeks.
Sent 14: They are cared for by their parents.
Sent 15: They leave the nest when they are strong enough to fly.
Sent 16: Some animals give birth to live offspring.
Sent 17: Animals like horses, cows, and whales give live birth.
Sent 18: Their offspring are born looking like mini adults.
Question: Do Sea Turtles need help from their families?.
A:
|
No.
| 4
|
NIv2
|
task054_multirc_write_correct_answer
|
zs_opt
|
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] |
Detailed Instructions: 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.
Problem:اثبات طهارت در کتاب مقدس چیست؟
Solution:
|
کاتولیک ها: اثبات پاکدامنی در کتاب مقدس چیست؟
| 8
|
NIv2
|
task466_parsinlu_qqp_text_modification
|
zs_opt
|
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] |
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
[EX Q]: When the sun (with its spacious light) is folded up;
[EX A]: هنگامی که خورشید را به هم درپیچند
[EX Q]: And Allah will not mislead a people after He hath guided them, in order that He may make clear to them what to fear (and avoid)- for Allah hath knowledge of all things.
[EX A]: و خدا بر آن نیست که قومی را پس از آنکه هدایت کرد، گمراه سازد، مگر آنکه اموری را که باید از آن بپرهیزند برای آنان بیان کند [و آنان مخالفت ورزند]؛ مسلما خدا به همه چیز داناست.
[EX Q]: They said: "Ah! woe to us! We were indeed wrong-doers!"
[EX A]:
|
[با دیدن عذاب فریاد برداشتند و] گفتند: ای وای بر ما که ما قطعا ستمکار بودیم!
| 6
|
NIv2
|
task656_quran_en_fa_translation
|
fs_opt
|
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Context: Our prayers are with the students, educators & families at Independence High School & all the first responders on the scene. #PatriotPride— Doug Ducey (@dougducey) February 12, 2016 Question: at which school were first responders on the scene for? Answer: independence high school
Solution: yes
Why? Here, the generated label is 'yes' because the given answer is right for the question.
New input: Context: God bless BB King peace and love to his family Ringo and Barbarax😎✌️🌟💖— Ringo Starr (@ringostarrmusic) May 15, 2015 Question: who is wishing bb's family peace and love? Answer: true blood
Solution:
|
no
| 0
|
NIv2
|
task241_tweetqa_classification
|
fs_opt
|
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] |
In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
One example is below.
Q: Preheat oven to 325F and grease and flour a 10" tube pan.,Soak the nutmeg in the whiskey for ten minutes.,______,Cream butter and sugar together until fluffy.,Add eggs, one at a time until well incorporated.,Fold in remaining 1 1/4 cups flour, cream of tartar, baking soda, salt, soaked nutmeg and pecan/raisin mixture until well combined.,Spoon into prepared pan.,Bake for 1 hour and 15 minutes or until cake pulls away slightly from the edge of the pan.,Let stand in the pan for 30 minutes, then turn out onto cooling rack for complete cooling.,Store in an airtight container.
A: Stir together pecans, raisins, and 1/4 cup flour; set aside.
Rationale: This is a good example, as we see the missing step is generated correctly from the available directions.
Q: ______,Slice them in half crosswise.,Remove seeds and juice by squeezing.,Chop and drain in colander.
A:
|
Peel tomatoes.
| 9
|
NIv2
|
task572_recipe_nlg_text_generation
|
fs_opt
|
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] |
Instructions: Given a sentence in Bulgarian, generate a new Bulgarian 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.
Input: Можете да използвате PET, за да знаете, че тялото ви е повреден.
Output:
|
Можете да използвате лаптоп, за да знаете, че тялото ви е да бъдат повредени.
| 3
|
NIv2
|
task415_mickey_bg_sentence_perturbation_generation
|
zs_opt
|
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] |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: L'any 1944, Frida Kahlo va començar a escriure el seu diari personal. En una senzilla llibreta, les paraules s'hi alternaven amb dibuixos o s'alineaven per donar lloc a poemes que parlaven sobretot de Diego Rivera i del patiment.[44] Comentava també tota la seva infància i la seva joventut, la sexualitat, la fertilitat, i els seus dolors físics, tota la seva forma de pensar i sentir. Va realitzar dibuixos a l'aquarel·la i amb tintes. Va escriure el que per a ella representaven els colors que emprava en les seves pintures:[45]
Student:
|
Quan va començar Frida Kahlo a escriure el seu diari personal?
| 6
|
NIv2
|
task836_viquiquad_question_generation
|
zs_opt
|
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] |
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
he swung in the forest from tree to tree
he swung in the cinema from tree to tree
second
A moment is a lifetime
A moment can feel like a lifetime
first
She rode her bike to school.
She rode her bike to the moon.
|
second
| 0
|
NIv2
|
task291_semeval_2020_task4_commonsense_validation
|
fs_opt
|
[
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] |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: tiña que facer transbordo na parada da rúa 53 onde están esas escaleiras mecánicas enormes.
Student:
|
Tenía que hacer un cambio en la parada de la calle 53 en la que hay estas dos escaleras gigantes.
| 6
|
NIv2
|
task1240_ted_translation_gl_es
|
zs_opt
|
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0.12118347734212875,
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0.8049029111862183
] |
Given the task definition and input, reply with output. In this task, you are given a conversation between a flight agent and the customer. You are given 4 options and you need to select the goal of the conversation. It is provided as part of customer's context, which has to be one of the following: `book`: Make a new reservation, `cancel`: Cancel an existing reservation, `no_flight`: No flight found for the customer's preference, `no_reservation`: No reservation / No change / No cancellation was made in the conversation, mostly enquiring details
customer: Hi.
agent: Hello, how can I aid you?
customer: Can you please help me with booking a flight ticket from IAH to MSP?
agent: Sure, may I know your travel dates?
customer: My travel dates are Apr 17 and 19.
agent: Do you have any specifications?
customer: I need a direct flight.
agent: May I know your name?
customer: My name is Anthony Harris.
agent: Ok, please wait a minute.
customer: Ok.
agent: Sorry, there were no flights found on your route.
customer: Ok, no issues. Thank you.
agent: Thank you.
|
no_flight
| 5
|
NIv2
|
task573_air_dialogue_classification
|
zs_opt
|
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] |
Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Example input: Sie verwenden den Behälter, um Kohlenstoff zur Anlage zu transportieren.
Example output: Sie arrangieren den Behälter, um Wasser an die Anlage zu versenden.
Example explanation: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about giving water/carbon to a plant and the changes in the sentence follows the commonsense knowledge.
Q: Menschen, die nicht viel lernen, haben inaktive Partner.
A:
|
Menschen, die nicht überspringen viel haben inaktive Spieler.
| 3
|
NIv2
|
task416_mickey_de_sentence_perturbation_generation
|
fs_opt
|
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Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Example input: Problem: a multiple choice test consists of 4 questions, and each question has 5 answer choices. in how many r ways can the test be completed if every question is unanswered ?
Options: a. 24, b. 120, c. 625, d. 720, e. 1024
Example output: c
Example explanation: 5 choices for each of the 4 questions, thus total r of 5 * 5 * 5 * 5 = 5 ^ 4 = 625 ways to answer all of them. Hence, the answer is c.
Q: Problem: 50 % of a number is more than 40 % of 120 by 180. find the number ?
Options: a. 456, b. 480, c. 420, d. 445, e. 320
A:
|
a
| 3
|
NIv2
|
task1678_mathqa_answer_selection
|
fs_opt
|
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Part 1. Definition
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Part 2. Example
Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. He is one of the first American composers of international renown, though his music was largely ignored during his life, and many of his works went unperformed for many years. Over time, he came to be regarded as an "American original". He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Context_2 : Daniel Evan Freeman (born 27 April 1959) is an American musicologist who specializes in European art music of the eighteenth century, in particular the musical culture of eighteenth-century Prague and the Bohemian lands. He is also active as a pianist and music editor. Context_3 : Art music (also known as Western classical music, cultivated music, serious music, canonic music, and more flippantly, real music or normal music) is an umbrella term that refers to musical traditions, implying advanced structural and theoretical considerations and a written musical tradition. "Serious" or "cultivated" music are terms frequently used as a contrast for ordinary, everyday music (popular and folk music, also called "vernacular music"). After the 20th century, art music was divided into two extensions: "serious music" and "light music". Context_4 : In the history of European art music, the term "common practice period" refers to the era between the formation and the dissolution of the tonal system. Though there are no exact dates for this phenomenon, most features of the common-practice period persisted from the mid to late baroque period, through the Classical and Romantic periods, or roughly from around 1650 to 1900. While certain prevailing patterns and conventions characterize the music of this period, the time period also saw considerable stylistic evolution. Some conventions evolved during this period that were rarely employed at other times during what may still be labeled "common practice" (for example, Sonata Form). Thus, the dates 1650–1900 are necessarily nebulous and arbitrary borders that depend on context. The most important unifying feature through this time period concerns a harmonic language to which modern music theorists can apply Roman numeral analysis. Context_5 : The Festival Oude Muziek Utrecht ("Utrecht Early Music Festival") is an annual music festival that showcases and celebrates early European art music. The ten-day festival takes place in the Dutch city of Utrecht, and begins in August. The programme comprises concerts, activities, lectures, exhibitions, and a symposium. Context_6 : Assaf Shelleg (Hebrew: אסף שלג ), is a musicologist and pianist, a senior lecturer of musicology at The Hebrew University of Jerusalem. He was previously the Schusterman Visiting Assistant Professor of Musicology and Jewish Studies in the Department of Religious Studies at the University of Virginia (2011–14), and had taught prior to that as the visiting Efroymson Scholar in the Jewish, Islamic & Near Eastern Languages and Cultures Department at Washington University in St. Louis (2009–11). Shelleg specializes in twentieth-century Jewish and Israeli art music and has published in some of the leading journals in both musicology and Israel Studies on topics ranging from the historiography of modern Jewish art music to the theological networks of Israeli art music. Shelleg's book, "Jewish Contiguities and the Soundtrack of Israeli History", appeared in November 2014 with Oxford University Press. The book studies the emergence of modern Jewish art music in central and Western Europe (1910s-1930s) and its translocation to Palestine/Israel (1930s-1970s), exposing the legacies of European antisemitism and religious Judaism in the making of Israeli art music. Moving to consider the dislocation of modern Jewish art music the book examines the paradoxes embedded in a Zionist national culture whose rhetoric negated its pasts, only to mask process of hybridizations enchained by older legacies. "Jewish Contiguities" has won the 2015 Engle Prize for the study of Hebrew Music, and the 2016 Jordan Schnitzer Book Award. Context_7 : Vocal harmony is a style of vocal music in which a consonant note or notes are simultaneously sung as a main melody in a predominantly homophonic texture. Vocal harmonies are used in many subgenres of European art music, including Classical choral music and opera and in the popular styles from many Western cultures ranging from folk songs and musical theater pieces to rock ballads. In the simplest style of vocal harmony, the main vocal melody is supported by a single backup vocal line, either at a pitch which is above or below the main vocal line, often in thirds or sixths which fit in with the chord progression used in the song. In more complex vocal harmony arrangements, different backup singers may sing two or even three other notes at the same time as each of the main melody notes, mostly with consonant, pleasing-sounding thirds, sixths, and fifths (although dissonant notes may be used as short passing notes). Context_8 : David Wallis Reeves (February 14, 1838 – March 8, 1900), also known as D. W. Reeves or Wally Reeves, was an American composer, cornetist, and bandleader. He developed the American march style, later made famous by the likes of John Philip Sousa, and his innovations include adding a countermelody to the American march form in 1876. Sousa called Reeves "The Father of Band Music in America", and stated he wished he himself had written Reeves' "Second Regiment Connecticut National Guard March". Charles Ives also borrowed from the "Second Connecticut" on four occasions. Context_9 : "Indian classical music is one of many forms of art music that have their roots in particular regional cultures. For other "classical" and art music traditions, see List of classical and art music traditions." Context_10 : Progressive music is music that subverts genre and expands stylistic boundaries outwards. Rooted in the idea of a cultural alternative, musical progressiveness embodies a continuous move between explicit and implicit references to genres and strategies derived from various cultural domains, such as European art music, Celtic folk, West Indian, or African. The word "progressive" comes from the basic concept of "progress", which refers to development and growth by accumulation, and is often deployed in numerous music genres such as progressive country, progressive folk, progressive jazz, and (most significantly) progressive rock. fact_1 : Charles Ives also borrowed from the "Second Connecticut" on four occasions. fact_2 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. fact_3 : He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Question: What is the birthyear of the American composer that borrowed from "Second Connecticut" on four occasions and combined American popular and church-music traditions with European art music?
Answer: 1874May
Explanation: From the fact_1 from context _8, and fact _2 and fact _3 from context _1, we can arrive at 1874 May which is accurate answer of given question.
Part 3. Exercise
Context_1 : Shia Saide LaBeouf ( ; born June 11, 1986) is an American actor, performance artist, and filmmaker. He became known among younger audiences as Louis Stevens in the Disney Channel series "Even Stevens", a role for which LaBeouf received a Young Artist Award nomination in 2001 and won a Daytime Emmy Award in 2003. He made his film debut in "The Christmas Path" (1998). In 2004, he made his directorial debut with the short film "Let's Love Hate" and later directed a short film titled "Maniac" (2011), starring American rappers Cage and Kid Cudi. Context_2 : Kalpen Suresh Modi (born April 23, 1977) is an American actor, producer, chef, and civil servant best known by his stage name Kal Penn. As an actor, he is known for his role portraying Lawrence Kutner on the television program "House", as well as the character Kumar Patel in the "Harold & Kumar" film series. He is also recognized for his performance in the critically acclaimed film "The Namesake". Penn has taught at the University of Pennsylvania in the Cinema Studies Program as a visiting lecturer. Context_3 : Tracie Laymon is a screenwriter, producer and film director. Laymon was raised in Houston, Texas, and studied film at the University of Texas at Austin. She began her film career with work in the Texas area, and several of her music videos and short films were recognized with film festival awards. She served in film production capacities in multiple movies, including "Matchstick Men" in 2003 and "The Alamo" in 2004. Laymon moved to California in 2005, and continued film production work there, serving as production assistant on films "The Ringer" in 2005 and "Blades of Glory" in 2007. Her short film "Inside" premiered in 2009 at the Milan International Film Festival in Milan, Italy, and won the award in "Best Short Film" from the Women's Image Network. She also directed the first ever half-hour comedy for the internet entitled "Goodnight Burbank", which premiered on Hulu.com in April 2011 and was personally acquired by Mark Cuban that same day. The shows then aired on Cuban's HDNet in the fall of 2011. Her most recent short film "A Hidden Agender" premiered at the Dallas International Film Festival and received the Jury Award for Best Dark Comedy at the Houston International Film Festival (also known as Worldfest Houston) in 2012. Laymon was also named to the Independent Film Channel's list of emerging "Icons" and "Film Innovators". She is currently in development of her first feature film, which she also wrote. The original screenplay received the Jury Award for Best Screenplay at the LA Comedy Festival in December 2013. Laymon is in development of this feature film and plans to direct it in Texas in 2017. Context_4 : Express: Aisle to Glory is a 1998 comedy short film written and directed by Jonathan Buss. It is notable as the film debut of the actor Kal Penn. Context_5 : Paperman is a 2012 American black-and-white computer-cel animated romantic comedy short film produced by Walt Disney Animation Studios and directed by John Kahrs. The short blends traditional animation and computer animation, and won both the Academy Award for Best Animated Short Film at the 85th Academy Awards and the Annie Award for Best Animated Short Subject at the 40th Annie Awards. "Paperman" was the first animated short film produced by Walt Disney Animation Studios to win an Academy Award since "It's Tough to Be a Bird" in 1970. Context_6 : Brooke Elizabeth Burns ( ; born March 16, 1978 ) is an American fashion model, actress and television personality. Burns began her television career in 1995, portraying the supporting character Peg, in the Spanish-American teen sitcom "Out of the Blue" (1995–96), appearing in all episodes but gaining little notoriety. However, Burns won recognition in 1998, when she joined the cast of the action drama series "Baywatch" alongside David Hasselhoff, Pamela Anderson and Carmen Electra, in her breakthrough role portraying the character Jessie Owens. Burns subsequently starred in "Baywatch's" second rendition, "Baywatch: Hawaii", alongside Simmone Jade Mackinnon, Stacy Kamano and again David Hasselhoff, until she left the show due to her first pregnancy. She appeared in 46 episodes. Context_7 : Joe Rosario (born January 6, 1959) is an American actor, writer and director. His appearances in television series include "Ed", "", and "The Sopranos". Rosario produced the short film "Together". He received an award of excellence from the Accolade film festival and the New York International Film Festival award for comedy short film Context_8 : My Brother Cicero is a 1998 comedy short film written by Louis Mandylor and Tony Nittoli starring Louis Mandylor, Costas Mandylor and Tony Nittoli. Filmed in Hollywood, it garnered two independent film awards and generated mostly positive reviews from critics. Context_9 : Arjay L. Smith (born November 27, 1983) is an American actor best known for his teenage role portraying the title character of the Nickelodeon children's television series, "The Journey of Allen Strange". Smith portrayed terrorist Laurent Dubaku during Season 7 of the FOX thriller/drama "24". Smith also portrayed Max Lewicki on the TNT television series, "Perception". Context_10 : Road to Victory is a 1944 short film notable for the appearance of Bing Crosby, a major singing and movie star, Cary Grant, a major actor in motion pictures, and Frank Sinatra, a young singer who would soon become a movie star himself. The short also featured Benny Goodman and Harry James. The movie was an edited and truncated re-release of "The Shining Future" from the same year. fact_1 : Express: Aisle to Glory is a 1998 comedy short film written and directed by Jonathan Buss. fact_2 : It is notable as the film debut of the actor Kal Penn. fact_3 : Kalpen Suresh Modi (born April 23, 1977) is an American actor, producer, chef, and civil servant best known by his stage name Kal Penn. fact_4 : As an actor, he is known for his role portraying Lawrence Kutner on the television program "House", as well as the character Kumar Patel in the "Harold & Kumar" film series. Question: Express: Aisle to Glory is a 1998 comedy short film notable as the film debut of an American actor who is known for his role portraying Lawrence Kutner on what television program?
Answer:
|
House
| 7
|
NIv2
|
task170_hotpotqa_answer_generation
|
fs_opt
|
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] |
Q: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Beginning: Ann's boss asked her to stay over. Middle 1: Ann really wanted to go home and needed the sleep. Middle 2: Ann really wanted to go home but needed the extra money. Ending: Ann decided she was glad she'd stayed over after all!
A:
|
1
| 7
|
NIv2
|
task070_abductivenli_incorrect_classification
|
zs_opt
|
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] |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
One example: Text: Cheval de soins pour les enfants de 3 ans!
Solution is here: French
Explanation: The given text is in French language
Now, solve this: Text: Hayaan maging isang malalang-angled tatsulok, at ipaalam sa at ay dalawang puntos sa kanyang tabi . Makagawa ng isang punto sa paraan na ang matambok may apat na gilid ay paikot,, At ang mga puntos sa at kasinungalingan sa kabaligtaran panig ng linya . Makagawa ng isang punto sa paraan na ang matambok may apat na gilid ay paikot,, At ang mga puntos sa at kasinungalingan sa kabaligtaran panig ng linya .
Solution:
|
Tagalog
| 6
|
NIv2
|
task447_opus_paracrawl_classification
|
fs_opt
|
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] |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
--------
Question: Possiamo tornare alla struttura di sistema delle idee per farlo.
Answer: Bueno, podemos volver á rede de estrutura das ideas para iso.
Question: Dovreste sapere che quando scegliamo qualcuno per il Premio Ig Nobel, contattiamo quella persona in modo molto discreto.
Answer: Debedes saber que cando escollemos unha persoa para gañar un Ig Nobel, contactamos con ela discretamente,
Question: Questa foto è stata scattata l'anno scorso.
Answer:
|
Esta foto é do ano pasado.
| 7
|
NIv2
|
task1252_ted_translation_it_gl
|
fs_opt
|
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] |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Problem:Comment: Kill the 2nd Amendment and you kill the constitution. Or, at the very least, enable those who would do the job.
Solution:
|
Non-identity-attack
| 8
|
NIv2
|
task325_jigsaw_classification_identity_attack
|
zs_opt
|
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] |
Given the task definition, example input & output, solve the new input case.
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Example: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more.
Output: ten
Snakes give birth to minimum ten young ones so ten is a correct answer.
New input case for you: Ladybugs have ____ ocelli, or simple eyes.
Output:
|
two
| 1
|
NIv2
|
task1359_numer_sense_answer_generation
|
fs_opt
|
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] |
Detailed Instructions: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
Q: English sentence: Such results as [those in the paper]... marks the greatest advance in the theory of indeterminate equations of the 3rd and 4th degrees since the time of Fermat; and it is all the more remarkable that it can be proved by quite elementary methods.
A:
|
Tulad ng mga resulta ng bilang [ang mga sa papel]... marka ang pinakamataas na isulong sa teorya ng walang katiyakan equation ng 3 rd at 4 th degree mula sa panahon ng Fermat; at ito ay ang lahat ng mga mas kapuna-puna na ito ay maaaring proved sa pamamagitan ng ganap na pamamaraan elementarya.
| 9
|
NIv2
|
task448_opus_paracrawl_en_tl_translation
|
zs_opt
|
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] |
Q: Given a scientific question, generate a correct answer to it.
What is used to measure air pressure?
A:
|
barometer
| 7
|
NIv2
|
task591_sciq_answer_generation
|
zs_opt
|
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] |
In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish.
Q: The ECDC cooperates with them in all its missions, and particularly on preparatory work for scientific opinions, scientific and technical assistance, collection of data, identification of emerging health threat and with regard to public information campaigns.
A:
|
ECDC samarbetar med de behöriga organen i alla sina uppdrag och särskilt när det gäller förberedelser inför vetenskapliga yttranden, vetenskapligt och tekniskt bistånd, insamling av uppgifter och kartläggning av nya hälsorisker samt informationskampanjer riktade till allmänheten.
| 4
|
NIv2
|
task1395_europa_ecdc_tm_en_sv_translation
|
zs_opt
|
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In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
This cable was fine for about 2 years using the cable with my genuine Apple wall charger. After that my iPhone 6s would start discharging while connected! Then it started to quickly cycle between charge - not charge - charge - discharge. If I look closely I can see dark spots on the gold plates or tabs. (See picture.) I will stick to reliable UL certified vendors like Apple or Belkin or Griffin. Because now my iPhone won’t hold a proper charge.... Luckily it has not blown up or burned as in other reviews. The newer model seems to have been updated to avoid the weak flex point near the lightning head, but I don’t see any more coating for the connection tabs.
Connection plates wear out and cause charge cycling
Worked at first, but now won't even turn on. Got maybe two uses with it.
Worked at first, but now won't even turn on. Got maybe two uses with it.
It fits the cargo area perfectly, however it is hard plastic so things slide around on it. I thought it was going to be rubberized. Will be looking for an alternative.
|
It fits the cargo area perfectly, however it is ...
| 0
|
NIv2
|
task618_amazonreview_summary_text_generation
|
fs_opt
|
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] |
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Example Input: Context: The Sirețel River is a tributary of the Siret River in Romania.
Question: The document can be classified to which topic?
Options: 1)Company, 2)Film, 3)NaturalPlace, 4)MeanOfTransportation
Example Output: 3
Example Input: Context: G. B. Pant University of Agriculture and Technology (GBPUA&T Pantnagar University or simply Pantnagar) is the first agricultural university of India. It was inaugurated by Jawahar Lal Nehru on 17 November 1960 as the Uttar Pradesh Agricultural University (UPAU). Later the name was changed to Govind Ballabh Pant University of Agriculture and Technology in 1972 in memory of the great freedom fighter Govind Ballabh Pant.
Question: The document can be classified to which topic?
Options: 1)OfficeHolder, 2)WrittenWork, 3)Film, 4)EducationalInstitution, 5)Album
Example Output: 4
Example Input: Context: Coleophora guttella is a moth of the Coleophoridae family. It is found in Turkestan and Uzbekistan.The larvae feed on Artemisia turanica and Artemisia fragrans. They feed on the leaves of their host plant.
Question: The document can be classified to which topic?
Options: 1)Athlete, 2)Animal, 3)Film, 4)EducationalInstitution, 5)Plant
Example Output:
|
2
| 3
|
NIv2
|
task633_dbpedia_14_answer_generation
|
fs_opt
|
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] |
Definition: Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Input: noncrystalline
Output:
|
crystalline
| 2
|
NIv2
|
task1508_wordnet_antonyms
|
zs_opt
|
[
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] |
Given the task definition and input, reply with output. In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
BACKGROUND Good-quality artemisinin drugs are essential for malaria treatment, but increasing prevalence of poor-quality artemisinin drugs in many endemic countries hinders effective management of malaria cases.
METHODS To develop a point-of-care assay for rapid identification of counterfeit and substandard artemisinin drugs for resource-limited areas, we used specific monoclonal antibodies against artesunate and artemether, and developed prototypes of lateral flow dipstick assays. In this pilot test, we evaluated the feasibility of these dipsticks under different endemic settings and their performance in the hands of untrained personnel.
RESULTS The results showed that the dipstick tests can be successfully performed by different investigators with the included instruction sheet. None of the artemether and artesunate drugs collected from public pharmacies in different endemic countries failed the test.
CONCLUSION It is possible that the simple dipstick assays, with future optimization of test conditions and sensitivity, can be used as a qualitative and semi-quantitative assay for rapid screening of counterfeit artemisinin drugs in endemic settings.
|
Pilot testing of dipsticks as point-of-care assays for rapid diagnosis of poor-quality artemisinin drugs in endemic settings
| 5
|
NIv2
|
task1586_scifact_title_generation
|
zs_opt
|
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] |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Q: E para eles, o autismo era arrasador.
A:
|
And for them, autism was devastating.
| 4
|
NIv2
|
task1274_ted_translation_pt_en
|
zs_opt
|
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] |
Detailed Instructions: Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the same as the answer to the original question.
See one example below:
Problem: Question: what places in africa do people speak french?
Solution: where in africa do people speak french?
Explanation: The generated question means the same as the input question and the answer is the same, so this is a good answer.
Problem: Question: what gulf is between lower california and mexico?
Solution:
|
what gulf lies between california and mexico?
| 4
|
NIv2
|
task442_com_qa_paraphrase_question_generation
|
fs_opt
|
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] |
Detailed Instructions: Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Q: Poster: LONDON LONDON LONDON LONDON LONDON!!!!!! So excited to head to London tomorrow for our @thegivingkeys Ace Hotel event, as well as the Pure Trade Show. Friends, let your cool UK friends know about this & have them Rsvp to the email on this posted flier. Xoxo Responser: Liz Simmons Charlotte McDonnell
A:
|
Neutral
| 9
|
NIv2
|
task823_peixian-rtgender_sentiment_analysis
|
zs_opt
|
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] |
Detailed Instructions: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Q: But unto the tribe of Levi Moses gave not any inheritance: the LORD God of Israel was their inheritance, as he said unto them.
A:
|
من چهل ساله بودم وقتی که موسی، بنده خداوند، مرا از قادش برنیع برای جاسوسی زمین فرستاد، و برای او خبر بازآوردم چنانکه در دل من بود.
| 9
|
NIv2
|
task655_bible_en_fa_translation
|
zs_opt
|
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] |
Definition: In this task, you will be presented with a question having multiple possible answers in Italian language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Input: Question: In quale stato si trova la Shenandoah Valley?
Options: A terra B regione montuosa C montana D continente E west virginia
Output:
|
E
| 2
|
NIv2
|
task1143_xcsr_it_commonsense_mc_classification
|
zs_opt
|
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] |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Input: עשינו את זה כמה פעמים.
Output:
|
これを何度か繰り返しました
| 2
|
NIv2
|
task1235_ted_translation_he_ja
|
zs_opt
|
[
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] |
Detailed Instructions: 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"
Q: Review: Instructions are a little vague , and not very intuitive. Website for update very slow. Requires PC, no MAC. But once everything got updated and I figured out the instructions, the unit works great.
Rating: 2
A:
|
False
| 9
|
NIv2
|
task1311_amazonreview_rating_classification
|
zs_opt
|
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] |
TASK DEFINITION: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
PROBLEM: ['W', '8847', '7039', 'A', 'K', '4957', 'r', 'n', '3567', 'h', '4379', '9667', 'A']
SOLUTION: 1, 4, 5, 7, 8, 10, 13
PROBLEM: ['u', 'S', 't', '9713', 'N', '9273', '5143', '9393', 'w', 'x', '7055', '849', '1329', 'T', 'A', '2863', '9421', '1021', 'O', 'D', 'p', '2073', 'g', 'o', '8355', '8493', '7831', '4379', '5087', 'c', '1339', 'x', '6355', 'V']
SOLUTION: 1, 2, 3, 5, 9, 10, 14, 15, 19, 20, 21, 23, 24, 30, 32, 34
PROBLEM: ['T', 'f', '9639', 'Y', 'o', '2809', 'b', 'T', '5747', 'W', '5037', 'w', '4541', '3201', 'D', 'p', 'W', 'S', 'm', 'r', '5675', 'G', 't', '9317', '5913', '6103', '431', '2635', '3867', '7021', 'W', 'r', '7', '9389', 'X', 'g', 'X', 'F']
SOLUTION:
|
1, 2, 4, 5, 7, 8, 10, 12, 15, 16, 17, 18, 19, 20, 22, 23, 31, 32, 35, 36, 37, 38
| 8
|
NIv2
|
task506_position_of_all_alphabetical_elements_in_list
|
fs_opt
|
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] |
Given the task definition and input, reply with output. In this task you are given a premise and two alternatives in Indonesian. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Siswa itu coba melakukan perhitungan di kepalanya.
(1)Ia keluarkan sebuah kalkulator.(2)Ia bingung.
|
2
| 5
|
NIv2
|
task1170_xcopa_commonsense_reasoning_id
|
zs_opt
|
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