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Q: In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
Kadhi pakoda
A:
|
vegetarian
|
task1191_food_veg_nonveg
|
NIv2
|
zs_opt
| 7
|
train
|
Detailed Instructions: In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
Problem:Prawn malai curry
Solution:
|
non vegetarian
|
task1191_food_veg_nonveg
|
NIv2
|
zs_opt
| 8
|
train
|
In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
Q: Alu Pitika
A: non vegetarian
****
Q: Kadai paneer
A: vegetarian
****
Q: Vindaloo
A:
|
non vegetarian
****
|
task1191_food_veg_nonveg
|
NIv2
|
fs_opt
| 4
|
train
|
In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
Dharwad pedha
|
vegetarian
|
task1191_food_veg_nonveg
|
NIv2
|
zs_opt
| 0
|
train
|
In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
One example: Balu shahi
Solution is here: vegetarian
Explanation: Balu shahi is a vegetarian dish.
Now, solve this: Kheer sagar
Solution:
|
vegetarian
|
task1191_food_veg_nonveg
|
NIv2
|
fs_opt
| 6
|
train
|
instruction:
In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
question:
Sohan papdi
answer:
vegetarian
question:
Singori
answer:
vegetarian
question:
Dhondas
answer:
|
vegetarian
|
task1191_food_veg_nonveg
|
NIv2
|
fs_opt
| 9
|
train
|
Q: In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
Daal puri
A:
|
vegetarian
|
task1191_food_veg_nonveg
|
NIv2
|
zs_opt
| 7
|
train
|
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 the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
Balu shahi
Solution: vegetarian
Why? Balu shahi is a vegetarian dish.
New input: Poha
Solution:
|
vegetarian
|
task1191_food_veg_nonveg
|
NIv2
|
fs_opt
| 0
|
train
|
Given the task definition and input, reply with output. In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
Doodhpak
|
vegetarian
|
task1191_food_veg_nonveg
|
NIv2
|
zs_opt
| 5
|
test
|
instruction:
In this task, you are given the name of an Indian food dish. You need to return whether the dish is "non vegetarian" or "vegetarian". Do not answer with any words other than those two.
question:
Koldil Chicken
answer:
non vegetarian
question:
Aloo shimla mirch
answer:
vegetarian
question:
Sutar feni
answer:
|
vegetarian
|
task1191_food_veg_nonveg
|
NIv2
|
fs_opt
| 9
|
validation
|
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Q: Twenty-three-year-old Bree Kotomah almost gave up on a burgeoning career in fashion design when hackers compromised her business's Instagram account in November 2018.
A:
|
'My Instagram got hacked and I lost my business'
|
task1358_xlsum_title_generation
|
NIv2
|
zs_opt
| 4
|
train
|
Detailed Instructions: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Q: A US touring production of Jesus Christ Superstar starring former Sex Pistols frontman John Lydon has been cancelled 10 days before it was due to start.
A:
|
Jesus Christ Superstar US tour axed
|
task1358_xlsum_title_generation
|
NIv2
|
zs_opt
| 9
|
train
|
You will be given a definition of a task first, then some input of the task.
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Another strike over pensions is planned for AstraZeneca's Macclesfield factory on Thursday 23 September.
Output:
|
Third AstraZeneca pension strike goes ahead
|
task1358_xlsum_title_generation
|
NIv2
|
zs_opt
| 1
|
train
|
TASK DEFINITION: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
PROBLEM: July's hot weather failed to boost consumer spending in the UK which fell to a new low amid Brexit uncertainty and slow real wage growth.
SOLUTION: UK consumer spending growth 'falls to record low'
PROBLEM: Energy company Npower is to raise gas prices by 15.7% and electricity prices by 7.2% from 1 October, it has said.
SOLUTION: Npower to increase gas and electricity prices
PROBLEM: A 3D printing shop in Kuwait has reportedly been shut down by authorities following pressure from an Islamist cleric.
SOLUTION:
|
3D printing shop closes after accusations of idolatry
|
task1358_xlsum_title_generation
|
NIv2
|
fs_opt
| 8
|
train
|
Detailed Instructions: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Q: Lego products are becoming increasingly violent as toymakers engage in an "arms race" to catch children's attention in the digital age, a new study says.
A:
|
Lego 'arms race': Bricks growing more violent, study says
|
task1358_xlsum_title_generation
|
NIv2
|
zs_opt
| 9
|
train
|
Definition: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Input: Suzanne Evans and Paul Nuttall have announced they are to run for the leadership of UKIP, with both promising to unite the troubled party.
Output:
|
Suzanne Evans and Paul Nuttall run for UKIP leadership
|
task1358_xlsum_title_generation
|
NIv2
|
zs_opt
| 2
|
train
|
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
[EX Q]: Tens of thousands of Malians, mainly ethnic Tuaregs, fled into Mauritania last year after a mixture of separatists and jihadi groups seized control of their home towns. The militants have since been ousted by a French-led campaign and the refugees are starting to plan their return home, as the BBC's Thomas Fessy reports from Mberra camp.
[EX A]: Mali refugees seek exit from Mauritania camp life
[EX Q]: High Street lenders are now starting to offer mortgages to borrowers offering a deposit of just 5% under a new government guarantee scheme.
[EX A]: Mortgage scheme launched for 5% deposits
[EX Q]: A total of 27 coronavirus cases, most of them adult staff, have now been linked to a school in Dundee.
[EX A]:
|
Coronavirus: Kingspark School cluster rises to 27
|
task1358_xlsum_title_generation
|
NIv2
|
fs_opt
| 6
|
train
|
instruction:
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
question:
More than 60 young people were sexually abused or exploited after going missing from unregulated homes, the BBC has learned.
answer:
Care children sexually abused or exploited while missing from homes
question:
Firefighters are helping out their emergency service colleagues during the coronavirus pandemic by becoming drivers for the ambulance service.
answer:
Coronavirus: Firefighters become ambulance service drivers
question:
Supermarket giant Tesco says about 4,500 staff in 153 Tesco Metro stores are set to lose their jobs in the latest round of redundancies.
answer:
|
Tesco to cut 4,500 jobs across 153 Metro stores
|
task1358_xlsum_title_generation
|
NIv2
|
fs_opt
| 9
|
train
|
Detailed Instructions: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Q: Prosecutors intend to proceed with legal action involving a veteran republican charged over the murder of Jean McConville more than 40 years ago.
A:
|
Case to proceed against Ivor Bell over McConville murder
|
task1358_xlsum_title_generation
|
NIv2
|
zs_opt
| 9
|
test
|
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Example input: For many Brazilians, Michel Temer's ascension to president was surprising. But as the first Brazilian president to have charges brought against him while in office, his arrest is less unexpected.
Example output: Michel Temer: Brazil's arrested former president
Example explanation: The output is a relevant title for the given passage as it highlights the main crux of the given text.
Q: An angry driver whose path was blocked by an ambulance repeatedly honked his horn and verbally abused a paramedic who was treating a patient.
A:
|
Paramedic abused by driver in Leicester for blocking road
|
task1358_xlsum_title_generation
|
NIv2
|
fs_opt
| 3
|
validation
|
Detailed Instructions: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
See one example below:
Problem: [[5, 3], [2, 9, 8], [3, 3], [5, 2, 7, 1]]
Solution: [5, 9, 3, 7]
Explanation: Input of this example is a list containing four inner lists. The maximum value of the first inner list is 5, the maximum value of the second list is 9, the maximum value of the third list is 3, and the maximum value of the fourth list is 7. So the output should be [5, 9, 3, 7], and this is a good example.
Problem: [[59, 77], [-135, -38], [-115, -30, -126], [-192, 20, 100, 43, 40], [-193, -159, -9, -50], [2, -174, 23, -97, -37]]
Solution:
|
[77, -38, -30, 100, -9, 23]
|
task207_max_element_lists
|
NIv2
|
fs_opt
| 4
|
train
|
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Ex Input:
[[-45, 39, 37, 4], [68, -44, 26, 94], [-98, -15, -9, -140], [-73, 23, -72], [20, 53, -23, -25, -81], [92, -5, 57], [72, 39, -80], [-75, -120, 15], [13, 38, -63, -164]]
Ex Output:
[39, 94, -9, 23, 53, 92, 72, 15, 38]
Ex Input:
[[-21, -17, -178, 61, -92, -68], [-171, 1, -185, 17, -19, 4, -95]]
Ex Output:
[61, 17]
Ex Input:
[[8, 3, 1, -59, 0, -48, -67], [-170, 5, -72], [-8, 27, -72, -149, -16], [48, -76, -180, 45, -92, 39, -159], [-96, -66, 49, -88, 82], [-72, -165, 99], [-145, -43, -127, 53]]
Ex Output:
|
[8, 5, 27, 48, 82, 99, 53]
|
task207_max_element_lists
|
NIv2
|
fs_opt
| 1
|
train
|
Part 1. Definition
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Part 2. Example
[[5, 3], [2, 9, 8], [3, 3], [5, 2, 7, 1]]
Answer: [5, 9, 3, 7]
Explanation: Input of this example is a list containing four inner lists. The maximum value of the first inner list is 5, the maximum value of the second list is 9, the maximum value of the third list is 3, and the maximum value of the fourth list is 7. So the output should be [5, 9, 3, 7], and this is a good example.
Part 3. Exercise
[[39, -179, 55, -3, -167], [-89, -47, -96], [-156, -90, 69]]
Answer:
|
[55, -47, 69]
|
task207_max_element_lists
|
NIv2
|
fs_opt
| 7
|
train
|
instruction:
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
question:
[[97, -135, -83, -157, 30], [-24, 59, 42, -84, 64, -74], [6, 50, -174], [-170, 93, -66, -136]]
answer:
[97, 64, 50, 93]
question:
[[77, -129, -165, -23, -25, 84], [-148, -184, -130, -48, 66], [12, -10, -184, -198, -76], [-15, -102, 62, 49], [32, -91]]
answer:
[84, 66, 12, 62, 32]
question:
[[-57, -21, 14, 51], [-114, -132, -190, -37, -14, -199], [29, -15, -37, -134, -178, 96]]
answer:
|
[51, -14, 96]
|
task207_max_element_lists
|
NIv2
|
fs_opt
| 9
|
train
|
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Q: [[-104, -62, -183, -191, -33, 76, 51], [-187, -154], [9, -108, -103, -112, 86, -16], [60, -146, 8, -125, 90, -18], [-61, -35, -111, 62, -94, 39], [-117, -168], [42, 49, -8, -152, 99]]
A:
|
[76, -154, 86, 90, 62, -117, 99]
|
task207_max_element_lists
|
NIv2
|
zs_opt
| 4
|
train
|
Given the task definition and input, reply with output. In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
[[17, 90, -172, 49, -153, 61], [-65, 7, -73, -117], [82, -60]]
|
[90, 7, 82]
|
task207_max_element_lists
|
NIv2
|
zs_opt
| 5
|
train
|
Detailed Instructions: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Problem:[[1, 31, -69, -197, -111, 42], [31, 97, -1, -200, -185, -55], [-53, -154, 36], [-40, 96, -166, -144, -86]]
Solution:
|
[42, 97, 36, 96]
|
task207_max_element_lists
|
NIv2
|
zs_opt
| 8
|
train
|
Instructions: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Input: [[39, -63, 21], [-134, -14, 12, 64, 37, -16], [92, -73, -100, -162, -9], [80, 21]]
Output:
|
[39, 64, 92, 80]
|
task207_max_element_lists
|
NIv2
|
zs_opt
| 3
|
train
|
Detailed Instructions: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
See one example below:
Problem: [[5, 3], [2, 9, 8], [3, 3], [5, 2, 7, 1]]
Solution: [5, 9, 3, 7]
Explanation: Input of this example is a list containing four inner lists. The maximum value of the first inner list is 5, the maximum value of the second list is 9, the maximum value of the third list is 3, and the maximum value of the fourth list is 7. So the output should be [5, 9, 3, 7], and this is a good example.
Problem: [[-135, -5], [47, -184, 46, -192, -14, -27, 54]]
Solution:
|
[-5, 54]
|
task207_max_element_lists
|
NIv2
|
fs_opt
| 4
|
test
|
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Let me give you an example: [[5, 3], [2, 9, 8], [3, 3], [5, 2, 7, 1]]
The answer to this example can be: [5, 9, 3, 7]
Here is why: Input of this example is a list containing four inner lists. The maximum value of the first inner list is 5, the maximum value of the second list is 9, the maximum value of the third list is 3, and the maximum value of the fourth list is 7. So the output should be [5, 9, 3, 7], and this is a good example.
OK. solve this:
[[-170, 31, 66, 89, -93], [-16, -170, 51, 60, -36, 56], [-49, 63], [41, 84, -60, 70, 63, -128, 30], [26, -111, -160, -171, -37], [12, -182, -77, -137], [-146, -37, 96, -168, -128, 35], [18, 34, -26, 30], [-24, -59, -2, -125, -156, -107, -8]]
Answer:
|
[89, 60, 63, 84, 26, 12, 96, 34, -2]
|
task207_max_element_lists
|
NIv2
|
fs_opt
| 8
|
validation
|
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Ex Input:
This movie is S-L-O-W. Spent most of the movie actually waiting for it to 'begin'.The setting was bleak, the script was bleak, the cinematography was bleak, the plot was bleak, the budget was low (not that all low budget movies are bad, but this one had no redeeming features).The plot was more consumed with a vengeful, slightly deranged hunter than the actual Wendigo which made a very brief appearance toward the end of the movie. This in itself was disappointing as this 'Wendigo' was just a bizarre mix of a tree and a stag. Everything about the movie was uninspiring.The parents of the little boy appeared to be rather aloof and at times seemed completely detached from their son. Whether this was down to bad acting or a bad script I'm not sure, but it only heightened my disappointment and boredom levels.There was no food for thought, nothing to pique an interest. With no real intrigue or chill factor, this movie creaked along so painfully, you just couldn't care less what happened by the end.Wendigo's ambiance reminds me of the dull movie shown at the awards ceremony toward the end of 'Mr Bean's Holiday': a movie which is artistic and nonsensical, trying too hard to to be deep and meaningful, but coming across as pretentious and boring.I would never want to watch this again. I only watched it to the end in the vain hope that something interesting might happen ... but it didn't.
Ex Output:
negative
Ex Input:
Normally when I go on a raid of the local Hollywood Video I head towards the B-Horror movies. To me the basic principals behind a B-Horror movie is it's camp value, Heavy Gore, Lots of needless Nudity, and special effects that anyone can put together with a pack of corn syrup and latex. I rented Cradle of Fear strictly because I've been a fan of the band since they released they're first Demo in 1995. The movie started off on an interesting note and then when I saw Dani Filth stomp on an extremely obvious latex mask I LAUGHED. When I saw the Lesbian sex scene for the sake of a Lesbian sex scene I LAUGHED EVEN HARDER. I spent pretty much the entire movie laughing and when I wasn't laughing I was shaking my head thinking about how a multi-million dollar rock star would want to make a movie that seemed like it was on a budget of multi-hundreds of dollars. The whole point of this movie to me seemed to attract the "Hardcore Goth kids who think death, destruction, sex, blood, and Satan are the greatest things invented since Lava Lamps. That was really it. To me this movie seemed like 80.5% of the things that happened in this movie just happened for the sake of being Satanic. This movie had a lot of potential and really could have been a real good movie but in the end this "Movie" really is just an extended Cradle of Filth Video.
Ex Output:
negative
Ex Input:
John Carpenter's career is over if this sad excuse for a movie is any indication. His excuse is that he only produced it. Jon Bon Jovi looks like a girl. In fact, Bon Jovi and the two Vampire girls, Natasha Wagner and Arly Jover probably all fit in the same clothes. In short, it was hard to tell which one was cuter in an anorexic ramp-model sort of way. Bon Jovi has the most charisma. At least he looks happy when he is smiling. The two Vampire Girls on the other hand are all cramps and complaints. At one point they are about to give each other a wet kiss, but stop. Amazing how each Vampire movie has some set of morays for the respective vampires. At one point, Arly Jover is providing fellatio to a very dumb Vampire Hunter and then she sucks his blood while doing the sex act. It would have been an erotic moment except that it was filmed like a total goof, and the male actor looked mildly amused as he watched Arly Jover move her head to mimic something that was very obviously not happening. As far as gore is concerned, a few heads are ripped off, and the blood spurts profusely. These scenes have so little suspense or build-up that when they happen it is almost funny, and there is no "horror" pay-off from the scene. All you get as a member of the audience is a feeling of "Wow, that sure was a lot of red paint splattering on the walls. I wonder who has to clean it up." Throughout the movie, these Vampire Hunters who are obviously trying to kill Arly Jover (the top vampire in the world??) keep reaching out to her. At one point, Bon Jovi goes into the abandoned Church and after he just shot her with an arrow (and has done so on other occasions), he says "I am not trying to hurt you. I just want to talk to you. I want to get to know you." HUH?? Of course, the dumb vampire Arly jumps out to say hello and Bon Jovi sticks her again with another impaling device. "Why Can't We Be Friends" the 1970s hit song by WAR should have been the theme song for this movie. Aside from all of the other silly moments, there is a transfusion sequence when Natasha Wagner has all her Vampire blood removed, and the town people all line up to donate blood for her transfusion. I guess Blood Type is not important? Anyhow, all her Vampire blood is removed. Bon Jovi then decides that if that blood is transfused into him, he can beat Arly by becoming a vampire also. Of course, as the vampire blood is transfused into him, none of his healthy blood is removed. So apparently Bon Jovi is walking around with twice as much blood as any human can have in his body. And just like the first VAMPIRES, this one also has the vampires-bursting-into-flames special effect.
Ex Output:
|
negative
|
task284_imdb_classification
|
NIv2
|
fs_opt
| 1
|
train
|
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! Maureen Stapleton is a scene stealer. The Moroni character is an absolute scream. Watch for Alan The Skipper Hale jr. as a police Sgt.
The answer to this example can be: positive
Here is why: There is an expression of appreciation in this movie review, hence we can say it's positive.
OK. solve this:
This is one of my favorite family movies. Loved it when I was little and it still holds up with me now that I'm older. I still laugh at all the same old jokes and might even shed a tear a times. I never have much cared for animals talking, or at least UN-animated ones but this one I'll stand up for. It's a pretty old movie but it will always hold a place in my heart.There aren't any other live animal movies that I can think of at the moment that I even could compare with, let alone like as much as this one. I might be giving too much praise to this movie but I don't think show. I really holds that great message that" Home is where the heart is." Or at least that's the message I gained from it. Definitely recommended for a good old family movie night.
Answer:
|
positive
|
task284_imdb_classification
|
NIv2
|
fs_opt
| 8
|
train
|
Part 1. Definition
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Part 2. Example
For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! Maureen Stapleton is a scene stealer. The Moroni character is an absolute scream. Watch for Alan The Skipper Hale jr. as a police Sgt.
Answer: positive
Explanation: There is an expression of appreciation in this movie review, hence we can say it's positive.
Part 3. Exercise
Mario Lewis of the Competitive Enterprise Institute has written a definitive 120-page point-by-point, line-by-line refutation of this mendacious film, which should be titled A CONVENIENT LIE. The website address where his debunking report, which is titled "A SKEPTIC'S GUIDE TO AN INCONVENIENT TRUTH" can be found at is :www.cei.org. A shorter 10-page version can be found at: www.cei.org/pdf/5539.pdf Once you read those demolitions, you'll realize that alleged "global warming" is no more real or dangerous than the Y2K scare of 1999, which Gore also endorsed, as he did the pseudo-scientific film THE DAY AFTER TOMORROW, which was based on a book written by alleged UFO abductee Whitley Strieber. As James "The Amazing" Randi does to psychics, and Philip Klass does to UFOs, and Gerald Posner does to JFK conspir-idiocy theories, so does Mario Lewis does to Al Gore's movie and the whole "global warming" scam.
Answer:
|
negative
|
task284_imdb_classification
|
NIv2
|
fs_opt
| 7
|
train
|
Given the task definition and input, reply with output. In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
but Thomas Ian Griffith just doesn't have the polish that a big bucks actor has, granted this was made 5+ years ago. Some of the humorous lines could have been timed to make this not only action, but comedy. And how do you get KC out of Katia Koslovska anyhow? Plummer's character was so corny, he would have fit better in a Bullwinkle toon. Personally, if action flicks are going to show skin -- I'd have liked to have seen equal time between female/male, otherwise don't show any.
|
negative
|
task284_imdb_classification
|
NIv2
|
zs_opt
| 5
|
train
|
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 review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! Maureen Stapleton is a scene stealer. The Moroni character is an absolute scream. Watch for Alan The Skipper Hale jr. as a police Sgt.
Solution: positive
Why? There is an expression of appreciation in this movie review, hence we can say it's positive.
New input: A scientist (John Carradine--sadly) finds out how to bring the dead back to life. However they come back with faces of marble. Eventually this all leads to disaster.Boring, totally predictable 1940s outing. This scared me silly when I was a kid but just bores me now. I had to struggle to stay awake! With one exception, the acting is horrible. Such expressionless boring actors! Hopeless.There are some good things about this: Carradine, despite the script, actually gives a very good performance. And there are a few mildly creepy moments involving a ghost of a Great Dane walking through walls. There's also one of the worst-looking knockouts in cinema history. Still, none of this is fun enough to sit through this. Avoid.
Solution:
|
negative
|
task284_imdb_classification
|
NIv2
|
fs_opt
| 0
|
train
|
Teacher:In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? Solve this instance: "La Furia del Hombre Lobo" forms a completely stand-alone storyline which doesn't seem to fit in at all with the previous Waldemar Daninsky movies. Some have commented that this movie is supposed to take place before the events of "Werewolf Shadow", although it was released afterwards ... they may be right, I'm not sure. Anyway, in this movie Waldemar Daninsky is bitten by a yeti-like creature in Tibet (great dialogue here -- "It was a yeti. But that's impossible. I'm a scientist and these things don't exist. It was a hallucination. That's all.") and although marked with the sign of the pentagram, he is able to prevent the change into a werewolf until he discovers that his wife has been cheating on him. Changing into the beast one night, he kills both her and her lover before running out into a storm and being electrocuted. It's not long before he's resurrected by a dominatrix university professor who is conducting some kind of unfathomable experiments with mind control. He is taken to the underground cellar of a castle where the subjects of these experiments live like chained animals.First of all -- Jacinto Molina, Paul Naschy, whatever you want to call him, he's a fine actor and cared passionately about his work. No matter how flawed these movies are, you can always rely on him for a decent performance. The rest of the cast seem good enough, but it's hard to tell when they have a half-assed voice-over dubbed over all their lines. And that was really the main problem for me ... many of the voice-over artists they used were just awful, awful, awful. Whenever I chuckled during the movie it was at the inept way that they delivered their lines (they seem to constantly refer to the hero as "Waldeman"). But unfortunately it's almost impossible to find subtitled copies of Naschy movies, although they're sometimes available in the original language without subtitles.The directing of Jose Maria Zabalza seems sort of hit-and-miss ... there are some great visual ideas in some scenes, while others are badly constructed and poorly edited, particularly in the final scenes when it really counts. The reason for this, was that Zabalza was apparently drunk most of the time while on set. He allowed his fourteen year old nephew to rewrite Molina's dialogue, used extras without his permission, and spliced several shots from Molina's earlier movies. All of this pretty much ruined any chance this movie had of being one of Molina's best works, and it's no surprise that the two of them never worked together again.But it's not all bad news, as there are some good ideas here. Some aspects of the storyline make an interesting psychological drama with the werewolf as a metaphor for jealousy and rage. The 'werewolf as a yeti' idea is one that returned in Molina's later work. Some pretty horrific and surreal stuff goes on down in the cellar, and there's also a very memorable sequence about half way through the film where Daninsky runs from house to house through a village, slaughtering or molesting innocents as he goes -- one scene is particularly intense, but it's actually lifted straight from Molina's first movie, "La Marca del Hombre-lobo" along with a few other shots. I actually found the movie on the whole to be very entertaining, although there are some problems with the Front Row Entertainment version, such as pretty obvious cuts (although some of it may simply be due to the director's lack of continuity). Gods knows what omissions there are -- I'll probably try to get my hands on the uncut version at some stage in the future.This is a overall a decent piece of vintage Naschy which experienced fans might enjoy, but it could have been much better and so probably wouldn't make a great introduction.
Student:
|
negative
|
task284_imdb_classification
|
NIv2
|
zs_opt
| 6
|
train
|
Q: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
A slight, charming little movie to be sure, but a superbly-crafted one. Gwyneth Paltrow shines in this early showcase for her British accent, and the cast assembled around her all lap up the dialogue. This came out around the time of Sense and Sensibility, and I'm sure I don't know why that one garnered all the Oscar attention. Emma is Jane Austen's most accessible and least stuffy story, told well.
A:
|
positive
|
task284_imdb_classification
|
NIv2
|
zs_opt
| 7
|
train
|
Detailed Instructions: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
See one example below:
Problem: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! Maureen Stapleton is a scene stealer. The Moroni character is an absolute scream. Watch for Alan The Skipper Hale jr. as a police Sgt.
Solution: positive
Explanation: There is an expression of appreciation in this movie review, hence we can say it's positive.
Problem: A series of painfully unfunny skits that seem to go on forever and a day. Not as mind-numbingly awful as say "Freddy Got Fingered" or "Lost Reality", but that in NO way is an endorsement in ANY way, sense or form. Features the worst rhyming clown ever. Any most if it isn't offensive to anybody but the most prudish or politically correct. It also has the worst song parody EVER put on film, the WORST Arnold impersonation EVER (not just the worst put on film, literally the worst EVER). I have NO clue why Karen Black, Micheal Clarke Duncan, or Slash would star in this (the reasons I watched this in the first place) The only thing mildly amusing was Dickman. In conclusion I would't recommend this film to ANYONE, but the people who are making it their mission in life to get this in the Bottom 250 on this site are pathetic. Do something notable with you lives people. Plus if it's true the Church of Scientalogy hates him, he can't be ALL bad.My Grade: D
Solution:
|
negative
|
task284_imdb_classification
|
NIv2
|
fs_opt
| 4
|
train
|
Detailed Instructions: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Problem:This movie is a great way for the series to finally end. Peter (the boy from Puppet Master III) is all grown up and is now the Puppet Master. Well, this girl comes to destroy the puppets and learn Toulon's secrets but instead she listens to the story about the puppets. Most of this movie is footage from Puppet Master II, Puppet Master III, Puppet Master 4, Puppet Master 5, Curse of the Puppet Master, and Retro Puppet Master (sorry... But I guess Paramount wouldn't let them use scenes from 1). Personally I wish Puppet Master Vs. Demonic Toys would finally be made but the way this movie ends they basically say "This is THE final movie in the series..."
Solution:
|
positive
|
task284_imdb_classification
|
NIv2
|
zs_opt
| 8
|
test
|
Teacher: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? If you are still confused, see the following example:
For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! Maureen Stapleton is a scene stealer. The Moroni character is an absolute scream. Watch for Alan The Skipper Hale jr. as a police Sgt.
Solution: positive
Reason: There is an expression of appreciation in this movie review, hence we can say it's positive.
Now, solve this instance: I was adopted at birth and certainly did NOT have the problems Antwone fisher had in the movie, but I still share some of the emotions and this movie really helped to bring them out and force me to deal with them. It even caused me to realize that I do have a "missing piece" and I am going to seek out my birthparents now.I cried for almost a day after I saw this the first time. Antwone's confrontation with his birthmother juxtaposed with his father's family's reaction to his sudden appearance are powerful for those of us who don't know what will happen if we find our birth parents. And his self-confidence and self affirmations to his mother and against the abusers of his past were so powerful. I could really identify with this and my need to tell people "yeah, I was put aside by my parents when I was born. BUT another set of parents picked me up and loved me. And now I am a success!"It also helped my wife understand me and our adopted children, who did go through tragic experiences before they came to our home. And it helped me to realize just how messed up our social system is. If you remember reading the story last year about the foster kid in Florida who was "lost" AND then the "Miranda & Ashley" story in Oregon City where SCF ignored multiple sexual abuse complaints about the man who ultimately killed them AND the week this movie was released, yet another story in New Jersey of three kids who were ignored by the system. One died. The state apparently thought the home they were in was ok because the guardian was employed (as a stripper) and "only occasionally" used heroin!There are just so many issues that are brought out in this movie - and they are dealt with so well by the script and by the acting that Antwone Fisher should be a "Best Picture" nominee for sure. No matter if you are adopted or not, it is a heart-tugger that can't be ignored by anyone concerned about children in our society.
Student:
|
positive
|
task284_imdb_classification
|
NIv2
|
fs_opt
| 2
|
validation
|
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
--------
Question: Head: PersonX bakes bread<sep>Tail: fresh homemade bread
Answer: No
Question: Head: PersonX flails PersonY's arms<sep>Tail: to cry
Answer: Yes
Question: Head: PersonX gives ___ a pep talk<sep>Tail: to kiss person y on the cheek
Answer:
|
Yes
|
task1214_atomic_classification_xwant
|
NIv2
|
fs_opt
| 7
|
train
|
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
See one example below:
Problem: Head: PersonX arranges a date<sep>Tail: to find a nice restaurant.
Solution: Yes
Explanation: This is a good example. As a result of the Head, PersonX wants to find a nice restaurant.
Problem: Head: PersonX gets PersonX's grades up<sep>Tail: to get the first place
Solution:
|
Yes
|
task1214_atomic_classification_xwant
|
NIv2
|
fs_opt
| 4
|
train
|
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Problem:Head: PersonX adopts PersonY attitude<sep>Tail: make the decision to adopt it
Solution:
|
No
|
task1214_atomic_classification_xwant
|
NIv2
|
zs_opt
| 8
|
train
|
Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Teacher: Now, understand the problem? Solve this instance: Head: PersonX connects the ___ together<sep>Tail: to finish another project
Student:
|
Yes
|
task1214_atomic_classification_xwant
|
NIv2
|
zs_opt
| 6
|
train
|
Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Teacher: Now, understand the problem? Solve this instance: Head: PersonX always wore ___<sep>Tail: to hang it on his bike
Student:
|
No
|
task1214_atomic_classification_xwant
|
NIv2
|
zs_opt
| 6
|
train
|
Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Teacher: Now, understand the problem? Solve this instance: Head: PersonX gives PersonY a sense<sep>Tail: to make PersonY understand
Student:
|
Yes
|
task1214_atomic_classification_xwant
|
NIv2
|
zs_opt
| 6
|
train
|
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX acts weird<sep>Tail: to avoid making eye contact
Output:
|
No
|
task1214_atomic_classification_xwant
|
NIv2
|
zs_opt
| 3
|
train
|
Definition: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX gives the reader some ___<sep>Tail: show his intelligence
Output:
|
Yes
|
task1214_atomic_classification_xwant
|
NIv2
|
zs_opt
| 2
|
train
|
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX improves PersonX's grade<sep>Tail: keep studying
Output:
|
Yes
|
task1214_atomic_classification_xwant
|
NIv2
|
zs_opt
| 1
|
test
|
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Consider Input: Head: PersonX gets it removed<sep>Tail: to feel better
Output: Yes
Input: Consider Input: Head: PersonX finally gave in<sep>Tail: to stop being a push over
Output: Yes
Input: Consider Input: Head: PersonX is much better<sep>Tail: to relax
|
Output: Yes
|
task1214_atomic_classification_xwant
|
NIv2
|
fs_opt
| 2
|
validation
|
Q: What's the answer to that question: what college did steve nash play basketball for?
A: Santa Clara University
Q: What's the answer to that question: what jersey will the packers wear in the super bowl?
A: Dark green
Q: What's the answer to that question: which country does south africa border 2 the north?
A: Lesotho
Q: What's the answer to that question: where does the jordan river end?
A:
|
Dead Sea
|
web_questions_whats_the_answer
|
P3
|
fs_opt
| 2
|
train
|
Question: What's the answer to that question: who was the vice president during george w bush?
Answer: Dick Cheney
Question: What's the answer to that question: where was martin cooper from?
Answer: Chicago
Question: What's the answer to that question: who does danneel harris play on one tree hill?
Answer:
|
Rachel Gatina
|
web_questions_whats_the_answer
|
P3
|
fs_opt
| 3
|
train
|
What's the answer to that question: which countries use euro money?
Answer:
|
Italy
|
web_questions_whats_the_answer
|
P3
|
zs_noopt
| 1
|
train
|
What's the answer to that question: who is samantha gibb?
A:
|
Singer
|
web_questions_whats_the_answer
|
P3
|
zs_noopt
| 2
|
train
|
Answer the following question: What's the answer to that question: what was walt disney's first cartoon called?
Answer:
|
Steamboat Willie
|
web_questions_whats_the_answer
|
P3
|
zs_noopt
| 5
|
train
|
Question: What's the answer to that question: what year did dwayne wade came to the nba?
Answer: 2003 NBA Draft
[Q]: What's the answer to that question: which country does irish language come from?
****
[A]: Irish
input: Please answer the following: What's the answer to that question: where did the roma people come from?
++++++++++
output: Romani people
Please answer this: What's the answer to that question: what is the government of spain today?
++++++++
Answer: Constitutional monarchy
Problem: What's the answer to that question: what airport fly into for maui?
A: Hana Airport
input: Please answer the following: What's the answer to that question: what government did japan have?
++++++++++
output:
|
Constitutional monarchy
|
web_questions_whats_the_answer
|
P3
|
fs_opt
| 4
|
train
|
What's the answer to that question: what time is in san diego california?
A:
|
Pacific Time Zone
|
web_questions_whats_the_answer
|
P3
|
zs_opt
| 2
|
train
|
What's the answer to that question: who is steve nash married to?
|
Alejandra Amarilla
|
web_questions_whats_the_answer
|
P3
|
zs_opt
| 0
|
train
|
What's the answer to that question: where did harriet tubman live after the civil war?
A:
|
Auburn
|
web_questions_whats_the_answer
|
P3
|
zs_opt
| 2
|
test
|
Q:What's the answer to that question: what is the economy of china?
A:
|
Socialist state
|
web_questions_whats_the_answer
|
P3
|
zs_opt
| 3
|
validation
|
In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
--------
Question: Cincin di jariku tersangkut.
Jariku bengkak.
Answer: cause
Question: Saya menusuk tanganku dengan sebuah pin.
Setetes darah jatuh dari jari saya.
Answer: effect
Question: Gadis itu tercebur dalam kolam renang.
Dia melompat dari papan loncat.
Answer:
|
cause
|
task1171_xcopa_commonsense_cause_effect_id
|
NIv2
|
fs_opt
| 7
|
train
|
Detailed Instructions: In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Problem:Anak muda itu mendapatkan sebuah tato.
Ia ingin memborontak.
Solution:
|
cause
|
task1171_xcopa_commonsense_cause_effect_id
|
NIv2
|
zs_opt
| 8
|
train
|
Definition: In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Input: Anak lelaki itu pindah dari rumahnya.
Dia akan kuliah.
Output:
|
cause
|
task1171_xcopa_commonsense_cause_effect_id
|
NIv2
|
zs_opt
| 2
|
train
|
In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Example input: Barang itu dikemas dalam bungkus gelembung.
Barang itu rapuh.
Example output: cause
Example explanation: The object being delicate is the cause of wrapping it in bubble wrap.
Q: Aku meremas sebuah irisan lemon.
Lemon itu menyemprot.
A:
|
effect
|
task1171_xcopa_commonsense_cause_effect_id
|
NIv2
|
fs_opt
| 3
|
train
|
In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Example input: Barang itu dikemas dalam bungkus gelembung.
Barang itu rapuh.
Example output: cause
Example explanation: The object being delicate is the cause of wrapping it in bubble wrap.
Q: Pria itu menatap ke langit malam.
Ia berpikir bahwa langit itu sangat indah.
A:
|
cause
|
task1171_xcopa_commonsense_cause_effect_id
|
NIv2
|
fs_opt
| 3
|
train
|
In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: Bocah itu tersesat di hutan.
Dia berteriak untuk pertolongan.
A:
|
effect
|
task1171_xcopa_commonsense_cause_effect_id
|
NIv2
|
zs_opt
| 4
|
train
|
Given the task definition and input, reply with output. In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Lelaki itu memakai setelan baju terbagusnya.
Ia memiliki rapat dengan klien yang penting.
|
cause
|
task1171_xcopa_commonsense_cause_effect_id
|
NIv2
|
zs_opt
| 5
|
train
|
Part 1. Definition
In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Part 2. Example
Barang itu dikemas dalam bungkus gelembung.
Barang itu rapuh.
Answer: cause
Explanation: The object being delicate is the cause of wrapping it in bubble wrap.
Part 3. Exercise
Bangunan itu didedikasikan untuk seorang jutawan.
Ia telah mendonasikan uang untuk membuat gedung itu.
Answer:
|
cause
|
task1171_xcopa_commonsense_cause_effect_id
|
NIv2
|
fs_opt
| 7
|
train
|
Part 1. Definition
In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Part 2. Example
Barang itu dikemas dalam bungkus gelembung.
Barang itu rapuh.
Answer: cause
Explanation: The object being delicate is the cause of wrapping it in bubble wrap.
Part 3. Exercise
Kekerasan politik telah memecahkan di negara ini.
Banyak warga lain telah mengungsi ke wilayah lain.
Answer:
|
effect
|
task1171_xcopa_commonsense_cause_effect_id
|
NIv2
|
fs_opt
| 7
|
test
|
Part 1. Definition
In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Part 2. Example
Barang itu dikemas dalam bungkus gelembung.
Barang itu rapuh.
Answer: cause
Explanation: The object being delicate is the cause of wrapping it in bubble wrap.
Part 3. Exercise
Saya terus tidur meskipun alarm saya bunyi.
Saya kelewatan sarapan.
Answer:
|
effect
|
task1171_xcopa_commonsense_cause_effect_id
|
NIv2
|
fs_opt
| 7
|
validation
|
Given the task definition and input, reply with output. In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
ヨハネス・ワルターの音色は、ソリストとしては失格！美しいオーボエを聴くべきCD . ひなびた優雅な音色、こけ脅しのない真っ正直な解釈で知られる、ドレスデン・シュターツカペレの首席フルート奏者、ヨハネス・ワルター。国内盤では、フルート四重奏曲とフルートとハープの協奏曲、輸入版ではバッハのフルートソナタや、イベールのフランスものなど録音も多い。 しかし、この録音は問題だ。以前の輸入版も国内盤も、フルートの録音がこもって冴えず、オケも低調。今回のリマスタリングに期待したが、結局のところ、録音が悪いのではなく、演奏者自体の出している音の問題であると判明した。 なぜなら、フルート協奏曲の二日前に録音されたカップリングのオーボエ協奏曲は、オケも冴え渡り、録音も優秀。オーボエも大きめに録られているが、鮮明なのである。これは、まさしくドレスデンの音であり、ちょっとテクニック的にギクシャクする部分はあっても、クルト・マーンのオーボエも最高なのである。 どうして、二日間でこんなに違うのだろうか？ 私の推測では、このオーボエ協奏曲の録音で、ベストのマイクセッティングを決め、オーケストラも最高の状態にあったので、そのまま翌々日に録音を行ったことが、裏目に出たと思っている。 特に、皆さんもご存知のように、フルート協奏曲第2番二長調K314とオーボエ協奏曲ハ長調は、調が違う以外全く同じ曲（もちろん細かい違いは多数あるが）なので、これをいくら熟練したプロのオケとは言え、連日演奏することは、音程等微妙に混乱する可能性が高く、実際、後に録音されたフルート協奏曲は、音が雑になってなってしまったと考えられる。 もう一つは、オーボエとフルートでは、発音機構も、音の出る位置（楽器の構え）も当然違うので、同じマイクセッティングでは、うまくいかないと考えられる。その結果、3年後のフルート・ハープコンチェルトでは、少し遠目の録り方で、フルートの音色がオケのソロのように、柔らかく聴こえるようになっているのに対し、この録音はフルートの近接音（直接音）がよく聞こえ、その結果、図らずも名オーケストラプレイヤーワルターの、ソリストとしての弱点が顕わになってしまっている。（序に言えば、それでもフルートハープでのフルートも、よーく聴くと、結局は、後述の弱点が見えてしまうのだが、ちょっと聴いただけではわからないので、フルートのソノリテにこだわらなければ、スウィトナー率いるオケも好調なので1、2を争う名演である。） つまり、もともと大きな音量でないのに無理に大きな音を出そうとするためにか、あるいは体調不良なのか、小さく細かなヴィブラートや外に漏れる息の音があまりに目立つし、テンポも速いのでそれについていくだけで精一杯、細かいニュアンス・表情付けや強弱が少なく、結果として、音に伸びがなく、表情もこじんまりとしており、冴えない演奏となった。 しかも、上述の理由からか、オケに精彩を欠き、残念ながら、名盤となるチャンスを逃してしまったのである。 さらに言えば、指揮者もオケも、二日前の名演奏で満足してしまい（慢心があった、今日もうまくいくだろう・・と）、気乗りせず、練習もルーティンワークになってしまったのではないだろうか？ あるいは、ベテラン奏者マーンに対する協力の姿勢とまだ新しいメンバーワルターに対するオケの信頼の差、マーンの演奏・音色と不調ワルターの出来の違いが著しく、オケのやる気に差が出た結果ではないだろうか・・そう邪推したくなるほどの違いである。 指揮者ブロムシュテットにも、それをそのままに録音を続けた責任があると思う。
|
NEG
|
task487_cls_japanese_music_classification
|
NIv2
|
zs_opt
| 5
|
train
|
In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
[EX Q]: 心地よいです . クラシックは初心者です。でも聞いたことがある曲ばかりで、心が穏やかになります。静かな喫茶店にいるような気分で、コーヒー片手に読書に没頭できましたよ。
[EX A]: POS
[EX Q]: コレも名盤なの？！ . 『ブロウ・バイ・ブロウ』は私にとって駄作でした。 が、もう一つの名盤と言われるコレを聴いてみたんですが、 やっぱ何が凄いのか、何所が素晴らしいのかサッパリ解りませんでした。 ギターよりもベースやキーボードが前面に出てる感じ。 楽曲自体がつまらないので、コレも私にとっては駄作でした。 ベックフリーク達よ…すまない。
[EX A]: NEG
[EX Q]: 意味ない . 12週連続リリースとか言って、後でベスト出すなら12週で出さなくても良いような気がする。 12枚買った人が損するだけだし、あんま良い曲ないし…
[EX A]:
|
NEG
|
task487_cls_japanese_music_classification
|
NIv2
|
fs_opt
| 6
|
train
|
In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Ex Input:
タイトルにハラハラドキドキ . だが、、、、エロいを突詰めると哲学的になるという歌詞。 曲もロックしてて、大好きな歌の上位を占める。
Ex Output:
POS
Ex Input:
以前の盤はそんなに音が悪かったのか。 . こちらのレビューで以前発売されていたものの音が悪く、それがリミックス リマスターで相当向上したような評価を読ませて頂きました。 わたしはこれが初めてだったのですが、スピーカーから音が出た途端、 「これで良くなったのなら以前はどんだけ悪かったのか？」 と思いました。まぁブートよりは全然いいですけれどね。 音はすぐ慣れますが、演奏はやっぱり荒いですね。何本もステージこなしている バンドに毎回最高の演奏をしろ、というのも酷ですが、少なくとも「録音して それが発売される」前提の演奏では無いと思いました。 デイヴィッドもグレンも、メロディを崩したときに微妙な音程のことが多い 感じがします。（特にカム・テイスト・ザ・バンド以外の楽曲） 「やっぱりやる気が無かったのかな。」 これが正直な感想ですね。
Ex Output:
NEG
Ex Input:
確かに人気はあるけどね . 最近のEXILEは調子に乗りすぎ。Ti Amoはいい曲だと思う、だがそれだけ。うたい直しによって昔のEXILEが好きだった私でも最近の曲を聴いてもふーんという風にしか感じない。まぁそろそろ歌い直す曲のレパートリーもなくなってきたので来年に期待します。
Ex Output:
|
NEG
|
task487_cls_japanese_music_classification
|
NIv2
|
fs_opt
| 1
|
train
|
In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Example: アルトゥール・ルービンシュタインの豪華ボックス・セット . 今世紀を代表する大物ピアニストの一人、アルトゥール・ルービンシュタインの残した正規の録音をCD92枚に集大成した豪華ボックス・セット。装丁の立派さはもちろんのこと、なんと言っても素晴らしいのは高水準な内容の演奏が多いことで、ルービンシュタインに関心のある方にはたまらないボックス・セットだといえるでしょう。半世紀に及ぶルービンシュタインの録音活動のすべてをカバーしています。初ＣＤ化も多数。装丁ももちろん豪華。各ＣＤはルービンシュタインの様々な写真をデザインしたデジパック仕様のジャケットに収められ、また、全380ページに及ぶハードカバー＆カラーの大型欧文解説書には、未発表のものを含む写真220枚以上と便利な作品インデックスが掲載されています。さらに、それら全ＣＤと解説書を収めるコレクターズ・ナンバー入り美麗豪華収納ボックスも付いてくるというのですから、言うことがありません。2000年度レコード・アカデミー賞受賞の名盤でもあります。
Example solution: POS
Example explanation: The overall sentiment of the review is positive as the reviewer refers to the music piece with positive expressions such as '今世紀を代表する大物ピアニスト'. Hence, the label is 'POS'.
Problem: 祝15周年 . 毎回L’Arc~en~Cielが作品を出す度、とても感謝しています。 だってこれほどまでに新鮮な楽曲を、リスナーを飽きさせずいつも提供してくれているのですから。 今回のアルバム評価は星４つです。あえて５つではありません。彼らは常に進化している為不用意に５つをつけてしまうとそれ以上が今後ないような気がして・・・期待を込めて常に４つです。しかし、今回のＫＩＳＳ正直インパクトが強いです。 横揺れを誘うSEVENTH HEAVEN。過去の曲Caress of Venusとは一味違います。メロディーの組み立てが斬新です。 激しく気持ちいいPretty girlは大御所ロックバンドの曲です。もはやラルクもB'zのように殿堂入りすべきです。 MY HEART DRAWS A DREAMのメロディーはkenちゃんのセンスが光った「ラルクらしい名曲」です。 砂時計は洋楽を聴いているようなアレンジ。 spiralは世界に通用するロックでしょうし ALONE EN LA VIDAは異国情緒たっぷりで、もはや本当に日本の中だけでは勿体無いアーティストの曲です。 それでいてTHE BLACK ROSEのようなインディーズ時代＋ハードボイルドな面を見せたり 雪の足跡のような名バラードもこなす・・・ 〆のHurry Xmasはラルクお得意のジャズ＋ロックなクリスマスソングと 本当にどれをとっても古さとか感じさせず、第一線を突っ走ってくれます。 今後２０周年、３０周年と彼らはますます突っ走ってくれるでしょう。 全ては４人のメロディーメイク、プレイの才能があっての物ですね。
|
Solution: POS
|
task487_cls_japanese_music_classification
|
NIv2
|
fs_opt
| 5
|
train
|
In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
どこへ行くDRAGON ASH . 売れることを意識したようなアルバム。運命共同体や繋がりSUNSETなどのように「誰かと一緒」であることを歌詞にしている。LILY OF DA VALLYやViva la Revolution時代のような孤高なミュージシャンではなくなってしまった。代々木でビデオコンテストを行った時は失望した。そういうことはしないと思っていたのに・・・
NEG
野蛮人 . 発光体含め全曲いいけど，個人的にゆらゆら帝国中最愛の必殺チューン「彼女のサソリ」はこの盤でしか聴けないから買って損無し． 一見珍妙な語のコラージュで退廃やら切なさやらを同居させるお得意の技が遺憾なく発揮された詩は1000%の出来．トレモロの効いたギター，抑制された気だるい女声，ファットで時に奔放なベース，単調だが的を射たドラムが紡ぐサイケなボッサとのマッチングは極上．結果，極彩のようなモノクロのような儚い映像を脳内に浮かび上がらせ，総計2000%の満足感． "パーティーはやらない"，"うそが本当に"，"ボーンズ"あたりのユルめで寂しい曲が好きな自分としてはどうしてもこういう曲を推してしまう．
POS
back hornじゃない気がする・・・ . 私は「何処へ行く」のときから聞いていましたが。もうバックホーンじゃないですね・・・ 今までの曲はバックホーンじゃなきゃいけない、山田がボーカルじゃなかきゃいけないという曲だったのに、いまのでは誰が演奏して誰が歌ってもたいした変わらないような感じです アーティストは心が不安定なほうがいい作品が作れるとか聞きますが、バックホーンも売れ出して心が安定してしまったのでしょうか？ 私の中では「人間プログラム」か「心臓オーケストラ」が好きだったのですがあのころのようなエネルギーが感じられなくなって残念で仕方ないです。
|
NEG
|
task487_cls_japanese_music_classification
|
NIv2
|
fs_opt
| 0
|
train
|
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 music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
アルトゥール・ルービンシュタインの豪華ボックス・セット . 今世紀を代表する大物ピアニストの一人、アルトゥール・ルービンシュタインの残した正規の録音をCD92枚に集大成した豪華ボックス・セット。装丁の立派さはもちろんのこと、なんと言っても素晴らしいのは高水準な内容の演奏が多いことで、ルービンシュタインに関心のある方にはたまらないボックス・セットだといえるでしょう。半世紀に及ぶルービンシュタインの録音活動のすべてをカバーしています。初ＣＤ化も多数。装丁ももちろん豪華。各ＣＤはルービンシュタインの様々な写真をデザインしたデジパック仕様のジャケットに収められ、また、全380ページに及ぶハードカバー＆カラーの大型欧文解説書には、未発表のものを含む写真220枚以上と便利な作品インデックスが掲載されています。さらに、それら全ＣＤと解説書を収めるコレクターズ・ナンバー入り美麗豪華収納ボックスも付いてくるというのですから、言うことがありません。2000年度レコード・アカデミー賞受賞の名盤でもあります。
Solution: POS
Why? The overall sentiment of the review is positive as the reviewer refers to the music piece with positive expressions such as '今世紀を代表する大物ピアニスト'. Hence, the label is 'POS'.
New input: 大いなる脱皮 . これはいわばビートルズの「サージャント・ペッパーズ・ロンリー・ハーツ・クラブ・バンド」みたいなもんだと僕は思ってます。それぞれのグループの歴史の中で殻を破った作品といえる。自分の殻を破って次に行かないと大きくならない。ただそのことがそれまでのファンを引きづれて行くことが出来たかがポイントになると思う。ビートルズはそれまでのファンも巻き込んだと思っているが、メタリカは果たしてどうであったのか？？個人的には１枚目と５枚目のこれが好きですね。両方とも素晴らしい革命的アルバムだと思っている。
Solution:
|
POS
|
task487_cls_japanese_music_classification
|
NIv2
|
fs_opt
| 0
|
train
|
Instructions: In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: CDは味気ない 旧A面をまずは一気に聴かないと . リボルバーは随分と実験的なアルバムでしたが、その次のこのサージェント･ペパーズは息を呑む完成度のアルバムです。当時はもちろんアナログ･レコードでしたが、私はレコードに針を落とした瞬間からA面が終わるまでの間、息をするのも苦しいほどでした。それくらい緊張感のあるサウンドなのです。ビートルズと同時代のミュージシャンがショックを受けたというのはよく分かる気がします。ビートルズはライブ活動をやめたことで、「ステージ演奏」「バンド」という枠組みから解き放たれたわけですが、その創造的な自由度をこれほどまでに謳歌できる才能には心から喝采です。当時の録音機材でこの偉業を成し遂げたエンジニアはまさに神の手です。その頃、アルバムからのシングル･カットの習慣はありません!でしたが、たとえあったとしても、シングル･カットはしなかったでしょう。まずは旧A面を一気に聴いて御覧なさい。体が硬直します。
Output:
|
POS
|
task487_cls_japanese_music_classification
|
NIv2
|
zs_opt
| 3
|
train
|
Instructions: In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: 安易に作って失敗したリミックスの典型 . パッケージと曲の内容につられて買いましたが、失敗でした。 吉宗ではリミックス版も出来が良かったのですが、 今回は変なメタルやトランス、ボサノバのリミックス。 どの曲も原曲の良さを台無しにするリミックスになっています。 安いからと言って買うと痛い目にあいます。 かうなら裏番ミックスだけで良い。
Output:
|
NEG
|
task487_cls_japanese_music_classification
|
NIv2
|
zs_opt
| 3
|
train
|
instruction:
In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
question:
キースのギターを聴くなら・・・ . レビューでの評価が高くて意外ですが、ドラッグ漬けから立ち直ったキースがストーンズでギターを弾きたくてたまらないのにも関わらずミックがソロワークへと走ってしまった頃のいわばキースのストレス発散的な要素の強いアルバムです。レコーデイングに集中できなかったのかミックの投げやりな歌い方は正直耳障りですし、まとまりという点ではかなり厳しい点数を付けざるを得ません。が、ギターを聴くだけならこのアルバムはうってつけです。ワンヒットでのロニーーのアコギは最高のかっこいいし、2曲目のファイトではキースの切れ味の凄まじいカッティングワークを堪能できます。他にもいい曲が多いだけにもう少し丁寧な仕上がりにしていたら･･･と思わずにいられない作品です。
answer:
POS
question:
圧倒的歌唱力，，，，？ . 部分部分は良いと思うのですが，アルバム全体として聞くと ハスキーボイスでぼそぼそ歌っているように聞こえてしまいます．
answer:
NEG
question:
これは . 正直言ってこの曲は売るためだけに作られた曲だとしか思えない。 オリコンでも初登場1位で売り上げ枚数が約25万枚となっていましたが 正直言ってこのCDがなぜそれだけ売れたのかが全く理解できないです。 まあ考えられるのは彼らはMr.childrenやBzといった一流アーティストのようにいつまでも音楽界のトップに君臨し続けられるアーティストではなく ただの流行者なんだとおもいます。 彼らの音楽を聴いているといつの時代でも聴き続けられる様な曲が一つもないのです。 つまり飽きやすい、印象が薄いなどがあげられると思います。 もっと心に残る曲を聴きたいです。
answer:
|
NEG
|
task487_cls_japanese_music_classification
|
NIv2
|
fs_opt
| 9
|
test
|
Teacher: In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Teacher: Now, understand the problem? If you are still confused, see the following example:
アルトゥール・ルービンシュタインの豪華ボックス・セット . 今世紀を代表する大物ピアニストの一人、アルトゥール・ルービンシュタインの残した正規の録音をCD92枚に集大成した豪華ボックス・セット。装丁の立派さはもちろんのこと、なんと言っても素晴らしいのは高水準な内容の演奏が多いことで、ルービンシュタインに関心のある方にはたまらないボックス・セットだといえるでしょう。半世紀に及ぶルービンシュタインの録音活動のすべてをカバーしています。初ＣＤ化も多数。装丁ももちろん豪華。各ＣＤはルービンシュタインの様々な写真をデザインしたデジパック仕様のジャケットに収められ、また、全380ページに及ぶハードカバー＆カラーの大型欧文解説書には、未発表のものを含む写真220枚以上と便利な作品インデックスが掲載されています。さらに、それら全ＣＤと解説書を収めるコレクターズ・ナンバー入り美麗豪華収納ボックスも付いてくるというのですから、言うことがありません。2000年度レコード・アカデミー賞受賞の名盤でもあります。
Solution: POS
Reason: The overall sentiment of the review is positive as the reviewer refers to the music piece with positive expressions such as '今世紀を代表する大物ピアニスト'. Hence, the label is 'POS'.
Now, solve this instance: 失敗? . Juelz Santanaは大好きなんですが、このアルバムは失敗なのかなぁ USで初登場142位 売上は4240枚… 未だにLil WayneのTha Carter 3は7090枚売れてるのに(x_x;) まぁとりあえず今年の6月23日発売予定の3rdアルバムは期待しときます。
Student:
|
NEG
|
task487_cls_japanese_music_classification
|
NIv2
|
fs_opt
| 2
|
validation
|
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
[EX Q]: עכביש נוחת עליכם, ואתם עוברים התקפה גדולה בגלל שעכבישים מפחידים.
[EX A]: だからクモが落ちて来たら体が反射的にビクッとしますクモは怖いからです
[EX Q]: אנו רק בני 60, אך רוצים לחיות לעד כעיר, לחיות בשלום.
[EX A]: 私たちの街にはわずか60年の歴史しかありませんが平和の中での恒久的な繁栄を願っています
[EX Q]: רובכם גם כנראה יודעים שהוא היה חרש, או כמעט חרש לחלוטין, כשהוא חיבר את זה.
[EX A]:
|
彼はこの交響曲を書いた時耳がほとんど聞こえない深刻な状況にありました
|
task1235_ted_translation_he_ja
|
NIv2
|
fs_opt
| 6
|
train
|
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
מה מייחד את המוח האנושי?
Solution: 人の脳の何がそんなに特別なのでしょうか ？
Why? The Hebrew sentence is correctly translated into Japanese. They both refer to the human brain.
New input: יש לנו אחד בקטמנדו, נפאל; דרמסאלה, הודו; טקנגו, קניה — טקנגו היא שליש נוצרית, שליש מוסלמית ושליש אנימיסטית, הקהילה היא — אולנטיימבו, פרו, והכפר הארקטי, אלסקה.
Solution:
|
ネパールのカトマンズインドのダラムサラケニヤのタカウングにも ― タカウングはキリスト信者イスラム信者精霊信仰者が 3分の1ずつで構成されている社会ですペルーのオリャンタイタンボアラスカのアークティック・ビレッジ
|
task1235_ted_translation_he_ja
|
NIv2
|
fs_opt
| 0
|
train
|
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
לכן הייתי מרגיש הרבה יותר טוב בכל הנושא הזה אם היינו יכולים להראות איכשהו שגם עצם רגיל מציית למכניקה קוונטית.
A:
|
もし通常の物体も量子力学に従うことを何とか証明できれば全てが納得できると考えました
|
task1235_ted_translation_he_ja
|
NIv2
|
zs_opt
| 7
|
train
|
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Input: וגם, ולא במקרה, עברנו עידן של המצאות אדירות, חברתיות ופוליטיות.
Output:
|
また意図的に社会政治的な改革も行ないました社会政治的な改革も行ないました
|
task1235_ted_translation_he_ja
|
NIv2
|
zs_opt
| 3
|
train
|
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Input: אך גם הייתי מרדנית.
Output:
|
でも人並みな暮らしに対する反抗心もあり
|
task1235_ted_translation_he_ja
|
NIv2
|
zs_opt
| 3
|
train
|
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
One example is below.
Q: מה מייחד את המוח האנושי?
A: 人の脳の何がそんなに特別なのでしょうか ？
Rationale: The Hebrew sentence is correctly translated into Japanese. They both refer to the human brain.
Q: אמי באקרה, אחותי התאומה בבוסטון, החברים הטובים ביותר בניו יורק: היחסים האלו הם בית בשבילי.
A:
|
アクラにいる母やボストンにいる双子の姉妹ニューヨークにいる親友彼らとの関係は私にとって故郷です
|
task1235_ted_translation_he_ja
|
NIv2
|
fs_opt
| 9
|
train
|
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: אבל זוהי רק חצי תוכנית,
Student:
|
しかしそれは計画の半分でしかありません
|
task1235_ted_translation_he_ja
|
NIv2
|
zs_opt
| 6
|
train
|
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Input: "" אני לא מבינה, פולי סויה?
Output:
|
「大豆ってどういうこと ？
|
task1235_ted_translation_he_ja
|
NIv2
|
zs_opt
| 2
|
train
|
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Input: אז אתם רואים, לא משנה כמה פופולארי ומוצלח יכול להיות מרחב ציבורי, לעולם לא ניתן לקחת אותו כמובן מאליו.
Output:
|
公共空間がどれほど人気があって成功していてもそれは当たり前だと思われるべきではありません
|
task1235_ted_translation_he_ja
|
NIv2
|
zs_opt
| 2
|
test
|
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Ex Input:
אז אני הולך להראות לכם, אני הולך, במקרה זה, ולהעביר אותו - וזה לא יותר מפוטושופ, לא דוגמנות — הזקן על האובייקט.
Ex Output:
髭を移してみましょうモデリングではなく単なる画像加工です被験者の髭をコピーします
Ex Input:
ילדים חיים על דברים. הם חיים מתחת לדברים.
Ex Output:
子供達はものの上でも下でも過ごします
Ex Input:
עכשיו, אני לא אומר שהחתול שומע את החצוצרה כפי שאנחנו שומעים אותה.
Ex Output:
|
これはネコが私たちと同じようにトランペットの音を聞いていることを示しているわけではありません
|
task1235_ted_translation_he_ja
|
NIv2
|
fs_opt
| 1
|
validation
|
TASK DEFINITION: Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
PROBLEM: Er wurde 1949 in die New Yorker Anwaltskammer aufgenommen und begann seine Praxis in New York City.
SOLUTION: In 1949 , he was admitted to the New York City Bar Association and began practice in New York .
PROBLEM: Ich habe Francis Bacon-Figuren in einer Landschaft von Sidney Nolan geschaffen, die von Jean Cocteau-Stunts inspiriert wurde.
SOLUTION: I created Francis Bacon figures in a Sidney Nolan landscape , with stunts inspired by Jean Cocteau. "
PROBLEM: Während ihrer Beziehung lebte das Paar in Los Angeles, obwohl Seymour für ihre Arbeit mehr Zeit in London und Los Angeles verbrachte.
SOLUTION:
|
Throughout her relationship , the couple lived in Los Angeles , though Seymour spent more time in London and Los Angeles for their work .
|
task801_pawsx_german_english_translation
|
NIv2
|
fs_opt
| 8
|
train
|
Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Ex Input:
Am 7. Juli 2011 wurde Russell für Kris Russell an den Columbus Blue Jackets gehandelt und schloss sich seinem Bruder Michael Blunden der Blue Jackets-Organisation an.
Ex Output:
On July 7 , 2011 , Russell was traded to the Columbus Blue Jackets for Kris Russell . He joined his brother Michael Blunden with the Blue Jackets organization .
Ex Input:
"Bonne Citoyenne" hatte das Unglück, bei einem Sturm beschädigt zu werden und vom Rest der französischen Staffel getrennt zu werden.
Ex Output:
" Bonne Citoyenne " had the misfortune to be damaged in a storm and separated from the rest of the French squadron .
Ex Input:
Es wurden auch mehrere animatronische Figuren geschaffen ... eine riesige Gans (Galaga) und ein animatronischer Kopf für den Puppenspieler Cernos.
Ex Output:
|
There were also several animatronic characters created ... a giant goose ( Galaga ) and an animatronic head for the doll 's cernos .
|
task801_pawsx_german_english_translation
|
NIv2
|
fs_opt
| 1
|
train
|
Given the task definition and input, reply with output. Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Darüber hinaus sind viele Angika-Sprecher in den Persischen Golf, die Vereinigten Staaten, Kanada, das Vereinigte Königreich und andere Länder ausgewandert.
|
Moreover , many Angika speakers in the Persian Gulf have emigrated to the United Kingdom , the United States , Canada , and other countries .
|
task801_pawsx_german_english_translation
|
NIv2
|
zs_opt
| 5
|
train
|
Teacher:Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? Solve this instance: Andrea Bocelli nannte ihre Probeaufführung "sehr schön" und David Foster bezeichnete ihre Stimme als spektakulär.
Student:
|
Andrea Andrea Bocelli called her sample performance " very nice " , and David Foster called her voice spectacular .
|
task801_pawsx_german_english_translation
|
NIv2
|
zs_opt
| 6
|
train
|
Q: Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Ich habe Francis Bacon-Figuren in einer Landschaft von Sidney Nolan geschaffen, die von Jean Cocteau-Stunts inspiriert wurde.
A:
|
I created Francis Bacon figures in a Sidney Nolan landscape , with stunts inspired by Jean Cocteau. "
|
task801_pawsx_german_english_translation
|
NIv2
|
zs_opt
| 7
|
train
|
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Die NBA-Saison 1975 - 76 war die 30. Saison der National Basketball Association.
Solution: The 1975 -- 76 season of the National Basketball Association was the 30th season of the NBA .
Why? This is a correct and accurate translation from German to English because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.
New input: Die Schlussfolgerungen sind, dass wir alle vollkommene spirituelle Vorstellungen des einen göttlichen Geistes und des manifestierten Geistes sind, nicht eines materiellen Körpers.
Solution:
|
The conclusions are that we are all perfect spiritual notions of one divine spirit and manifest the spirit , not a material body .
|
task801_pawsx_german_english_translation
|
NIv2
|
fs_opt
| 0
|
train
|
Given the task definition and input, reply with output. Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Eine mittelgroße mazedonische jüdische Gemeinde ist an der Mittelmeerküste, vor allem in Nordisrael und im Gush Dan, sehr lange präsent.
|
A small-medium Macedonian Jewish community has a very long presence on the Mediterranean coast , especially in Gush Dan and northern Israel .
|
task801_pawsx_german_english_translation
|
NIv2
|
zs_opt
| 5
|
train
|
Definition: Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Input: Diese entsprechen geografisch den traditionellen Bezirken Glasgow District, South, Edinburgh District sowie North und Midlands.
Output:
|
These geographically roughly correspond to the traditional districts of Glasgow District , South , Edinburgh District and North and Midlands .
|
task801_pawsx_german_english_translation
|
NIv2
|
zs_opt
| 2
|
train
|
Teacher:Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? Solve this instance: Im Jahr 1406 hatte er den Juliana Anicia Codex of Dioscurides hinzugefügt, Rebound und ein Inhaltsverzeichnis sowie Minuskel scholia im byzantinischen Griechisch umfangreich restauriert.
Student:
|
In 1406 he had the Juliana Anicia Codex of Dioscurides added , rebound , and a table of contents and minuscule scholia restored in Byzantine Greek extensive .
|
task801_pawsx_german_english_translation
|
NIv2
|
zs_opt
| 6
|
test
|
Teacher:Given a sentence in German, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? Solve this instance: Diese Serie war exklusiv für Wal-Mart Canada, wurde jedoch online im Spawn Store verkauft.
Student:
|
This series was exclusive to Wal-Mart Canada but was eventually sold in the Spawn Store online .
|
task801_pawsx_german_english_translation
|
NIv2
|
zs_opt
| 6
|
validation
|
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