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In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Example input: 10 sottrazione 7
Example output: 3
Example explanation: Here, 'sottrazione' represents the subtraction operation. So, the answer is 3 (10-7=3).
Q: 5459 sottrazione 6284 sottrazione 8566 aggiunta 5059
A:
|
-4332
|
task086_translated_symbol_arithmetic
|
NIv2
|
fs_opt
| 3
|
train
|
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
2487 aggiunta 8939 sottrazione 8387 sottrazione 2162 sottrazione 7992 sottrazione 8136 aggiunta 9572 sottrazione 2522 sottrazione 3159
|
-11360
|
task086_translated_symbol_arithmetic
|
NIv2
|
zs_opt
| 0
|
train
|
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Let me give you an example: 10 sottrazione 7
The answer to this example can be: 3
Here is why: Here, 'sottrazione' represents the subtraction operation. So, the answer is 3 (10-7=3).
OK. solve this:
2669 sottrazione 9564 aggiunta 7550 aggiunta 9504 aggiunta 9773 aggiunta 6310 sottrazione 2189
Answer:
|
24053
|
task086_translated_symbol_arithmetic
|
NIv2
|
fs_opt
| 8
|
train
|
Instructions: In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Input: 9064 aggiunta 3408 aggiunta 5735 sottrazione 6537 aggiunta 6471 sottrazione 7952 sottrazione 5494 sottrazione 5523 aggiunta 4164
Output:
|
3336
|
task086_translated_symbol_arithmetic
|
NIv2
|
zs_opt
| 3
|
train
|
Detailed Instructions: In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Problem:5921 sottrazione 3965 sottrazione 8836 aggiunta 5281 sottrazione 8087 sottrazione 3411 aggiunta 8621
Solution:
|
-4476
|
task086_translated_symbol_arithmetic
|
NIv2
|
zs_opt
| 8
|
train
|
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
5001 sottrazione 931 sottrazione 6554 aggiunta 4767 sottrazione 7802 aggiunta 6819 sottrazione 7518
-6218
6106 sottrazione 4732 sottrazione 3166 sottrazione 4030 sottrazione 7370 sottrazione 1889 aggiunta 527 aggiunta 4758 aggiunta 3386
-6410
5079 aggiunta 8146 sottrazione 5584 aggiunta 2517 sottrazione 7034 sottrazione 1114 sottrazione 3708 aggiunta 3456
|
1758
|
task086_translated_symbol_arithmetic
|
NIv2
|
fs_opt
| 0
|
train
|
Detailed Instructions: In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Problem:146 aggiunta 1678 aggiunta 5244 sottrazione 1053
Solution:
|
6015
|
task086_translated_symbol_arithmetic
|
NIv2
|
zs_opt
| 8
|
train
|
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
[Q]: 6399 aggiunta 4709 aggiunta 3467 sottrazione 2405 aggiunta 3093 aggiunta 1590 aggiunta 6023 aggiunta 1330
[A]: 24206
[Q]: 3536 aggiunta 30 aggiunta 7929 sottrazione 8644 sottrazione 8945 aggiunta 8257 aggiunta 5289 aggiunta 9823
[A]: 17275
[Q]: 2208 aggiunta 5213 sottrazione 5061 sottrazione 7620 aggiunta 5461 sottrazione 428 aggiunta 7988 aggiunta 6895
[A]:
|
14656
|
task086_translated_symbol_arithmetic
|
NIv2
|
fs_opt
| 5
|
train
|
Definition: In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Input: 5646 aggiunta 8923 aggiunta 1418 aggiunta 2168 aggiunta 976 aggiunta 6980 sottrazione 3040 aggiunta 7335 aggiunta 6528
Output:
|
36934
|
task086_translated_symbol_arithmetic
|
NIv2
|
zs_opt
| 2
|
test
|
Teacher:In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Teacher: Now, understand the problem? Solve this instance: 318 sottrazione 6068 aggiunta 5970 sottrazione 3587 aggiunta 3240
Student:
|
-127
|
task086_translated_symbol_arithmetic
|
NIv2
|
zs_opt
| 6
|
validation
|
Teacher: Find the movie name from the given conversation. If the movie name is not found give output as "unknown"
Teacher: Now, understand the problem? If you are still confused, see the following example:
ASSISTANT: What kind of movies are you drawn to? , USER: I am drawn to romances. , ASSISTANT: Have you seen Fifty Shade of Grey?
Solution: Fifty Shade of Grey
Reason: Based on the given conversation the "ASSISTANT" asks user for the movie along with the 'Fifty Shade of Grey' title provided into it. We can then classify this title and store it inside the output
Now, solve this instance: ASSISTANT: Hello. What kind of movies do you like? , USER: Hello. I like horror movies. , ASSISTANT: can you give two reasons why you like horror movies , USER: I like to feel that inside of you that scares you to death, but you still want to continue watching the movie. I like when I feel goosies all over my arms, you know? That's the reason why I like it. , ASSISTANT: Can you name a particular movie that you like? , USER: Saw
Student:
|
Saw
|
task926_coached_conv_pref_word_generation
|
NIv2
|
fs_opt
| 2
|
train
|
Find the movie name from the given conversation. If the movie name is not found give output as "unknown"
[Q]: ASSISTANT: What type of movies do you enjoy? , USER: I enjoy comedies, I enjoy fantasy, action, and dramas. , ASSISTANT: What appeals to you with these type of movies? , USER: I like when I'm able to laugh and find humor in a movie, but I also like movies that will touch me on my emotional side or keep me on the edge of my seat. I recently watched A Quiet Place, which I found to be a great movie.
[A]: Quiet Place
[Q]: ASSISTANT: What kind of movies do you like? , USER: I like action movies. , ASSISTANT: Any other types? , USER: I like romance movies. , ASSISTANT: Is there a movie you really liked? , USER: Let's see. I like The Terminator.
[A]: The Terminator
[Q]: ASSISTANT: What type of movies do you enjoy? , USER: From time to time, I really like to watch some indie films. , ASSISTANT: What appeals to you with these type of movies? , USER: They usually have off pitch stories and interesting characters. So, it's kind of off the beaten path. , ASSISTANT: Is there a specific movie you enjoy from this genre? , USER: One that comes to mind is Oldboy.
[A]:
|
Oldboy
|
task926_coached_conv_pref_word_generation
|
NIv2
|
fs_opt
| 5
|
train
|
Teacher: Find the movie name from the given conversation. If the movie name is not found give output as "unknown"
Teacher: Now, understand the problem? If you are still confused, see the following example:
ASSISTANT: What kind of movies are you drawn to? , USER: I am drawn to romances. , ASSISTANT: Have you seen Fifty Shade of Grey?
Solution: Fifty Shade of Grey
Reason: Based on the given conversation the "ASSISTANT" asks user for the movie along with the 'Fifty Shade of Grey' title provided into it. We can then classify this title and store it inside the output
Now, solve this instance: ASSISTANT: Could you tell me the type of movies you prefer? , USER: I love action movies. , ASSISTANT: Perfect! Now, what would be one of your favorite movies? , USER: I love Mr. and Mrs. Smith. That's a great one.
Student:
|
Mr. and Mrs. Smith
|
task926_coached_conv_pref_word_generation
|
NIv2
|
fs_opt
| 2
|
train
|
Teacher: Find the movie name from the given conversation. If the movie name is not found give output as "unknown"
Teacher: Now, understand the problem? If you are still confused, see the following example:
ASSISTANT: What kind of movies are you drawn to? , USER: I am drawn to romances. , ASSISTANT: Have you seen Fifty Shade of Grey?
Solution: Fifty Shade of Grey
Reason: Based on the given conversation the "ASSISTANT" asks user for the movie along with the 'Fifty Shade of Grey' title provided into it. We can then classify this title and store it inside the output
Now, solve this instance: ASSISTANT: What kind of movies do you like? Any specific genre? , USER: I like science fiction movies. , ASSISTANT: Is there a movie you can name that you really like? , USER: Yes. I love the , USER: I think it was called The Last Jedi.
Student:
|
The Last Jedi
|
task926_coached_conv_pref_word_generation
|
NIv2
|
fs_opt
| 2
|
train
|
Detailed Instructions: Find the movie name from the given conversation. If the movie name is not found give output as "unknown"
See one example below:
Problem: ASSISTANT: What kind of movies are you drawn to? , USER: I am drawn to romances. , ASSISTANT: Have you seen Fifty Shade of Grey?
Solution: Fifty Shade of Grey
Explanation: Based on the given conversation the "ASSISTANT" asks user for the movie along with the 'Fifty Shade of Grey' title provided into it. We can then classify this title and store it inside the output
Problem: ASSISTANT: what are the certain types of features you look for in movies? , USER: I like action, and I like dialog, and I like the quality of actors. , USER: If that means anything. , ASSISTANT: does the ending impact how much you like a film , USER: Well, no, cuz I like a surprise ending, so the ending doesn't have any impact on me. , ASSISTANT: Why do you like those genres? , USER: because , USER: That's what I like. I don't know. It's just my taste, I guess. , ASSISTANT: What's one of your favorite movies? , USER: I'd have to say the one who flew over the cuckoo's nest. Have you ever watched it? It's very good.
Solution:
|
the one who flew over the cuckoo's nest
|
task926_coached_conv_pref_word_generation
|
NIv2
|
fs_opt
| 4
|
train
|
Find the movie name from the given conversation. If the movie name is not found give output as "unknown"
[EX Q]: ASSISTANT: What kind of movies do you like? , USER: I like action movies. , ASSISTANT: What is it about action movies do you like? , USER: They're fun and interesting to watch. , ASSISTANT: Is there an action movie that you like? , USER: Yes. I like the Harry Potter movies.
[EX A]: Harry Potter
[EX Q]: ASSISTANT: What kind of movies do you like? , USER: I like comedy movies. , ASSISTANT: what do you like about them? , USER: I like the I like comedy movies because they're funny. They make me laugh. The plot and dialog is interesting. It makes me really attentive to the movie , USER: Movies such as Adam Sandler type of movies or Jim Carrey type of movies. , ASSISTANT: What's your favorite comedy? , USER: favorite comedy, uh... Billy Madison
[EX A]: Billy Madison
[EX Q]: ASSISTANT: What kind of movies do you like? Any specific genre? , USER: I like science fiction movies for the most part. , ASSISTANT: Sci fi, awesome. Is there a movie you can name that you really liked? , USER: I really enjoyed watching Blade Runner 2049 in theaters.
[EX A]:
|
Blade Runner 2049
|
task926_coached_conv_pref_word_generation
|
NIv2
|
fs_opt
| 6
|
train
|
Find the movie name from the given conversation. If the movie name is not found give output as "unknown"
Q: ASSISTANT: What type of movies do you enjoy? , USER: I like dramas and thrillers. , ASSISTANT: What appeals to you with these type of movies? , USER: They're just They usually have interesting stories and they keep you guessing as to what's going to happen. It's They're usually not very boring. So, you're never finding yourself like falling asleep or thinking about other stuff during the movie. You're constantly engaged with it. , ASSISTANT: Is there a specific movie you enjoy from this genre? , USER: Reservoir Dogs is kind of a drama/thriller, so I would consider that one.
A:
|
Reservoir Dogs
|
task926_coached_conv_pref_word_generation
|
NIv2
|
zs_opt
| 4
|
train
|
Given the task definition and input, reply with output. Find the movie name from the given conversation. If the movie name is not found give output as "unknown"
ASSISTANT: What kinds of movies do you like? , USER: I like , USER: I like romance movies. , ASSISTANT: Well, tell me why do you like romance movies? , USER: I like romance movies because they're fun, interactive, and fun to watch. , ASSISTANT: cool, what is your favorite movie? , USER: My favorite movie is Deadpool 2.
|
Deadpool 2
|
task926_coached_conv_pref_word_generation
|
NIv2
|
zs_opt
| 5
|
train
|
Find the movie name from the given conversation. If the movie name is not found give output as "unknown"
One example is below.
Q: ASSISTANT: What kind of movies are you drawn to? , USER: I am drawn to romances. , ASSISTANT: Have you seen Fifty Shade of Grey?
A: Fifty Shade of Grey
Rationale: Based on the given conversation the "ASSISTANT" asks user for the movie along with the 'Fifty Shade of Grey' title provided into it. We can then classify this title and store it inside the output
Q: ASSISTANT: can you tell me what types of movies you like? , USER: I like comedies a lot. , ASSISTANT: ok, why do you like comedies? , USER: They're just entertaining. They're funny and just makes you feel usually in a better mood, even if you're feeling down. Unless they're terrible but , ASSISTANT: got it, can you name a specific movie you enjoyed? , USER: And I really like Caddyshack a lot. It's one of my favorite comedies.
A:
|
Caddyshack
|
task926_coached_conv_pref_word_generation
|
NIv2
|
fs_opt
| 9
|
test
|
Find the movie name from the given conversation. If the movie name is not found give output as "unknown"
Example Input: ASSISTANT: What type of movies do you enjoy? , USER: I like sci-fi movies quite a bit. , ASSISTANT: What do you enjoy about them? , USER: It's an interesting take on the future and kind of seeing what people think the future will be like and it's just neat to see how people's brains were able to come up with ideas that might be realistic. , ASSISTANT: I can definitely see why people would be interested in that especially with that imaginative aspect , ASSISTANT: What movie from that genre do you enjoy? , USER: I haven't seen it in a while but I really liked Gattaca.
Example Output: Gattaca
Example Input: ASSISTANT: What kinds of movies do you typically enjoy? , USER: Mostly, I enjoy action movies and science fiction movies. , ASSISTANT: what draws you to that kind of movie? , ASSISTANT: I see. and what kinds of movies do you tend to dislike or avoid? , USER: I tend to avoid any type of romance movies or movies with a big boring story. , ASSISTANT: Why do you avoid those kinds of movies? , USER: They just don't interest me, I feel like they're boring and they're not fun to watch. They just don't speak to me. , ASSISTANT: I see. So what's a movie you've seen that you really enjoyed? , USER: Oh, boy. , USER: I really like the Back to the Future series, I think that's a great series with a good plot, science fiction, has a great story I have re-watched it many times and I still I can watch it 10 more times and not be bored.
Example Output: Back to the Future series
Example Input: ASSISTANT: What movies do you like? , USER: I like dramas. , ASSISTANT: what makes you interested in drama films , USER: I like how real life it is and the accuracy and just like the truthfulness of the moments. , ASSISTANT: is there a specific title that you enjoy , USER: I like , USER: Let's start with Moonlight.
Example Output:
|
Moonlight
|
task926_coached_conv_pref_word_generation
|
NIv2
|
fs_opt
| 3
|
validation
|
Teacher:In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,...
priceRange: cheap, expensive,...
customerRating: 1 of 5 (low), 4 of 5 (high)
area: riverside, city center, ...
familyFriendly: Yes / No
near: Panda Express,...
The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.
Teacher: Now, understand the problem? Solve this instance: Alimentum is a kid friendly restaurant in Riverside which offers Japanese food for £20-£25.
Student:
|
name[Alimentum], food[Japanese], priceRange[£20-25], area[riverside], familyFriendly[yes]
|
task958_e2e_nlg_text_generation_parse
|
NIv2
|
zs_opt
| 6
|
train
|
Detailed Instructions: In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,...
priceRange: cheap, expensive,...
customerRating: 1 of 5 (low), 4 of 5 (high)
area: riverside, city center, ...
familyFriendly: Yes / No
near: Panda Express,...
The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.
Q: Browns Cambridge is rated high by its customers and has a price range of more than £30.
A:
|
name[Browns Cambridge], priceRange[more than £30], customer rating[high]
|
task958_e2e_nlg_text_generation_parse
|
NIv2
|
zs_opt
| 9
|
train
|
In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,...
priceRange: cheap, expensive,...
customerRating: 1 of 5 (low), 4 of 5 (high)
area: riverside, city center, ...
familyFriendly: Yes / No
near: Panda Express,...
The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.
Blue Spice allows children, is in the city centre and costs more than £30.
|
name[Blue Spice], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[yes]
|
task958_e2e_nlg_text_generation_parse
|
NIv2
|
zs_opt
| 0
|
train
|
In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,...
priceRange: cheap, expensive,...
customerRating: 1 of 5 (low), 4 of 5 (high)
area: riverside, city center, ...
familyFriendly: Yes / No
near: Panda Express,...
The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.
Ex Input:
A kid friendly coffee shop is Cocum, offering high customer ratings and £30 dining options.
Ex Output:
name[Cocum], eatType[coffee shop], food[English], priceRange[more than £30], customer rating[high], familyFriendly[yes]
Ex Input:
The moderately priced, kids friendly establishment The Punter can be found near The Portland Arms in the riverside area.
Ex Output:
name[The Punter], priceRange[moderate], area[riverside], familyFriendly[yes], near[The Portland Arms]
Ex Input:
Fitzbillies is a coffee shop that serves Indian food within a high price range but it is not children friendly and has a customer rating of 1 out of 5. It is in the riverside area.
Ex Output:
|
name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[no]
|
task958_e2e_nlg_text_generation_parse
|
NIv2
|
fs_opt
| 1
|
train
|
In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,...
priceRange: cheap, expensive,...
customerRating: 1 of 5 (low), 4 of 5 (high)
area: riverside, city center, ...
familyFriendly: Yes / No
near: Panda Express,...
The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.
Q: The Cricketers is a coffee shop that offers Fast food to its customers. It is located near The Portland Arms, has a rating of 1 out 5 stars, and is child-friendly.
A: name[The Cricketers], eatType[coffee shop], food[Fast food], customer rating[1 out of 5], familyFriendly[yes], near[The Portland Arms]
****
Q: Serving French cuisine, The Waterman is in city centre with a low customer rating. Not children friendly.
A: name[The Waterman], food[French], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no]
****
Q: Aromi is a coffee shop providing Indian food It is located in the riverside. Its customer rating is 5 out of 5.
A:
|
name[Aromi], eatType[coffee shop], food[Indian], customer rating[5 out of 5], area[riverside], familyFriendly[no]
****
|
task958_e2e_nlg_text_generation_parse
|
NIv2
|
fs_opt
| 4
|
train
|
Given the task definition and input, reply with output. In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,...
priceRange: cheap, expensive,...
customerRating: 1 of 5 (low), 4 of 5 (high)
area: riverside, city center, ...
familyFriendly: Yes / No
near: Panda Express,...
The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.
Strada is a five-star restaurant located near Rainbow Vegetarian Café.
|
name[Strada], food[French], priceRange[cheap], customer rating[5 out of 5], familyFriendly[yes], near[Rainbow Vegetarian Café]
|
task958_e2e_nlg_text_generation_parse
|
NIv2
|
zs_opt
| 5
|
train
|
In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,...
priceRange: cheap, expensive,...
customerRating: 1 of 5 (low), 4 of 5 (high)
area: riverside, city center, ...
familyFriendly: Yes / No
near: Panda Express,...
The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.
Example Input: Loch Fyne is a Italian restaurant that does not cater to families.
Example Output: name[Loch Fyne], eatType[restaurant], food[Italian], familyFriendly[no]
Example Input: The Rice Boat is not family-friendly. They have a customer rating 5 out of 5. They serve Japanese food. They are located in the riverside area near Express by Holiday Inn. There price range is cheap.
Example Output: name[The Rice Boat], food[Japanese], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[no], near[Express by Holiday Inn]
Example Input: There is a pub located in the city centre area. It is called Clowns and it has a customer rating of 5 out of 5 and a price range of more than £30.
Example Output:
|
name[Clowns], eatType[pub], priceRange[more than £30], customer rating[5 out of 5], area[city centre]
|
task958_e2e_nlg_text_generation_parse
|
NIv2
|
fs_opt
| 3
|
train
|
TASK DEFINITION: In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,...
priceRange: cheap, expensive,...
customerRating: 1 of 5 (low), 4 of 5 (high)
area: riverside, city center, ...
familyFriendly: Yes / No
near: Panda Express,...
The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.
PROBLEM: There is an Indian food restaurant called The Cambridge Blue. Although, they do have a low customer rating.
SOLUTION: name[The Cambridge Blue], eatType[restaurant], food[Indian], customer rating[low]
PROBLEM: Moderately priced, The Phoenix Sushi restaurant sits next to the river.
SOLUTION: name[The Phoenix], food[Japanese], priceRange[£20-25], customer rating[3 out of 5], area[riverside]
PROBLEM: The Phoenix on the riverside serves cheap fast food with a rating of 5 out of 5 by customers.
SOLUTION:
|
name[The Phoenix], food[Fast food], priceRange[cheap], customer rating[5 out of 5], area[riverside]
|
task958_e2e_nlg_text_generation_parse
|
NIv2
|
fs_opt
| 8
|
train
|
Q: In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,...
priceRange: cheap, expensive,...
customerRating: 1 of 5 (low), 4 of 5 (high)
area: riverside, city center, ...
familyFriendly: Yes / No
near: Panda Express,...
The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.
Located near Café Rouge, in the city centre, The Green Man pub serves English food.
A:
|
name[Green Man], eatType[pub], food[English], area[city centre], near[Café Rouge]
|
task958_e2e_nlg_text_generation_parse
|
NIv2
|
zs_opt
| 7
|
test
|
In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,...
priceRange: cheap, expensive,...
customerRating: 1 of 5 (low), 4 of 5 (high)
area: riverside, city center, ...
familyFriendly: Yes / No
near: Panda Express,...
The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.
Q: Although not family-friendly, The Golden Curry which serves Italian cuisine has a customer rating of 5 out of 5.
A:
|
name[The Golden Curry], food[Italian], customer rating[5 out of 5], familyFriendly[no]
|
task958_e2e_nlg_text_generation_parse
|
NIv2
|
zs_opt
| 4
|
validation
|
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 the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Solution: against
Why? Here, argument is against the given topic, three gorges dam. Hence, the answer is "against".
New input: Topic: European Union Expansion
Argument: New entrants into EU suffer from increased tax burdens.
Solution:
|
against
|
task209_stancedetection_classification
|
NIv2
|
fs_opt
| 0
|
train
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Input: Topic: Vehicle fuel economy standards
Argument: Fuel economy standards do not directly reduce emissions.
Output:
|
against
|
task209_stancedetection_classification
|
NIv2
|
zs_opt
| 2
|
train
|
Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Topic: Algae biofuel
Argument: Algae from coal ties the biofuel to fossil fuels.
neutral
Topic: DREAM Act
Argument: University leaders almost universally support DREAM Act.
in favor
Topic: Medical marijuana dispensaries
Argument: Legalizing medical marijuana does not increase use and abuse.
|
in favor
|
task209_stancedetection_classification
|
NIv2
|
fs_opt
| 0
|
train
|
Definition: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Input: Topic: Comprehensive Nuclear-Test-Ban Treaty
Argument: Comprehensive Test Ban Treaty still relevant after Cold War.
Output:
|
in favor
|
task209_stancedetection_classification
|
NIv2
|
zs_opt
| 2
|
train
|
Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Let me give you an example: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
The answer to this example can be: against
Here is why: Here, argument is against the given topic, three gorges dam. Hence, the answer is "against".
OK. solve this:
Topic: Osama Bin Laden Sea Burial
Argument: No country would accept his body; sea burial appropriate.
Answer:
|
in favor
|
task209_stancedetection_classification
|
NIv2
|
fs_opt
| 8
|
train
|
Part 1. Definition
Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Part 2. Example
Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Answer: against
Explanation: Here, argument is against the given topic, three gorges dam. Hence, the answer is "against".
Part 3. Exercise
Topic: 700 mile US Mexico border fence
Argument: The 700 wall cannot be compared to the Berlin wall.
Answer:
|
neutral
|
task209_stancedetection_classification
|
NIv2
|
fs_opt
| 7
|
train
|
Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
[Q]: Topic: Fairness Doctrine
Argument: Balanced left/right broadcasting exist w/o Fairness Doctrine.
[A]: against
[Q]: Topic: Israeli military assault in Gaza
Argument: Israel strikes were intended to further dispirit Palestinians.
[A]: against
[Q]: Topic: Bullfighting
Argument: Unfair fight; bull is severely injured before matador.
[A]:
|
against
|
task209_stancedetection_classification
|
NIv2
|
fs_opt
| 5
|
train
|
Instructions: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Input: Topic: 2010 US bank tax
Argument: Bank tax is not too great of a burden on banks.
Output:
|
in favor
|
task209_stancedetection_classification
|
NIv2
|
zs_opt
| 3
|
train
|
Detailed Instructions: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Q: Topic: Catholic Church contraception policy
Argument: If people followed Christian principles; they would not contract HIV/AIDS.
A:
|
in favor
|
task209_stancedetection_classification
|
NIv2
|
zs_opt
| 9
|
test
|
Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Example: Topic: Three Gorges Dam
Argument: The Three Gorges Dam is a cause of corruption.
Example solution: against
Example explanation: Here, argument is against the given topic, three gorges dam. Hence, the answer is "against".
Problem: Topic: UN Security Council veto
Argument: The hidden threat of the UN veto is a major concern.
|
Solution: against
|
task209_stancedetection_classification
|
NIv2
|
fs_opt
| 5
|
validation
|
Instructions: Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D.
Input: Prompt: Tina is shy. Tina
Completion A: doesn't like nuts.
Completion B: doesn't talk to strangers.
Completion C: likes giving a speech to a group of people.
Completion D: sings in the crowd.
Output:
|
Completion B
|
task156_codah_classification_adversarial
|
NIv2
|
zs_opt
| 3
|
train
|
Part 1. Definition
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D.
Part 2. Example
Prompt: A clown is fashioning animals from long balloons. He
Completion A: releases the animals into their natural habitat.
Completion B: makes a giraffe and hands it to a child.
Completion C: yells out for his second in command to pilot the battleship around the obstacle.
Completion D: releases the balloon and it flies high into the air.
Answer: Completion B
Explanation: The clown is an entertainer and is twisting balloons to resemble an animal. There are no live animals, and these types of twistable balloons are not able to fly or float up.
Part 3. Exercise
Prompt: Dan was a sitting duck in this scenario. Dan
Completion A: was a duck that was sitting
Completion B: decided to become a duck and sit on the ground
Completion C: quacked sometimes
Completion D: was in danger
Answer:
|
Completion D
|
task156_codah_classification_adversarial
|
NIv2
|
fs_opt
| 7
|
train
|
Definition: Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D.
Input: Prompt: Buster was so anti-Semitic that he
Completion A: believed he was not a racist.
Completion B: was not known as a bigot.
Completion C: developed a reputation for being kind-hearted.
Completion D: discriminated against the Jews.
Output:
|
Completion D
|
task156_codah_classification_adversarial
|
NIv2
|
zs_opt
| 2
|
train
|
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D.
Q: Prompt: George hates to be alone. Tonight he decides to
Completion A: binge a TV series at home.
Completion B: watch a movie alone.
Completion C: study in his room.
Completion D: go to a party.
A:
|
Completion D
|
task156_codah_classification_adversarial
|
NIv2
|
zs_opt
| 4
|
train
|
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D.
[Q]: Prompt: Joseph bought three tickets to the game, but he lost one on his way home. He
Completion A: has four tickets.
Completion B: only has two tickets now.
Completion C: only has one ticket now.
Completion D: has all three tickets.
[A]: Completion B
[Q]: Prompt: The woman is now blow drying the dog. The dog
Completion A: is live tweeting the action.
Completion B: seems increasingly happy as his sogginess decreases.
Completion C: is preparing to take the GRE.
Completion D: isn't necessarily a professor of neuroscience.
[A]: Completion B
[Q]: Prompt: The girl drops a bowl on the floor. Her parents
Completion A: make a new bowl out of food.
Completion B: put the bowl back together using peanut butter as glue.
Completion C: yell at her.
Completion D: eat the bowl for dinner.
[A]:
|
Completion C
|
task156_codah_classification_adversarial
|
NIv2
|
fs_opt
| 5
|
train
|
Part 1. Definition
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D.
Part 2. Example
Prompt: A clown is fashioning animals from long balloons. He
Completion A: releases the animals into their natural habitat.
Completion B: makes a giraffe and hands it to a child.
Completion C: yells out for his second in command to pilot the battleship around the obstacle.
Completion D: releases the balloon and it flies high into the air.
Answer: Completion B
Explanation: The clown is an entertainer and is twisting balloons to resemble an animal. There are no live animals, and these types of twistable balloons are not able to fly or float up.
Part 3. Exercise
Prompt: A dog is leashed to a pole outside. The dog is
Completion A: tied waiting for the owner
Completion B: probably mad
Completion C: probably a girl
Completion D: at the north pole
Answer:
|
Completion A
|
task156_codah_classification_adversarial
|
NIv2
|
fs_opt
| 7
|
train
|
TASK DEFINITION: Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D.
PROBLEM: Prompt: Thomas did not like looking in the mirror, because
Completion A: Saturday is the last day of the week.
Completion B: he believed himself to be ugly.
Completion C: Thomas has a mirror in his house.
Completion D: Thomas is a coward.
SOLUTION: Completion B
PROBLEM: Prompt: A woman is walking two dogs and carrying a cat on her way to her car. She
Completion A: puts all three animals in the back seat before driving off.
Completion B: puts all four animals in the back seat before driving off.
Completion C: puts both animals in the back seat before driving off.
Completion D: puts all nine animals in the back seat before driving off.
SOLUTION: Completion A
PROBLEM: Prompt: A cowboy is riding his horse. He
Completion A: ties his lasso, aims towards Jupiter, and flies away on his horse.
Completion B: robs a train, eats his hat, and then says sorry to his horse.
Completion C: is traveling to the nearest town.
Completion D: polishes his revolver, saves fifteen percent on car insurance, and sells his horse.
SOLUTION:
|
Completion C
|
task156_codah_classification_adversarial
|
NIv2
|
fs_opt
| 8
|
train
|
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D.
Prompt: Tom was crossing the street. He
Completion A: was in danger.
Completion B: was sent to the hospital after hit by the plane.
Completion C: is the street.
Completion D: was caught because he saw the green light.
|
Completion A
|
task156_codah_classification_adversarial
|
NIv2
|
zs_opt
| 0
|
train
|
Detailed Instructions: Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D.
Q: Prompt: I think I want some sushi tonight. I
Completion A: will go spear dive for some fish.
Completion B: am going to hunt for some fish tonight in the Maldives.
Completion C: will jump into a cage with a chef and shark and ask him to make a meal for me.
Completion D: like tuna rolls.
A:
|
Completion D
|
task156_codah_classification_adversarial
|
NIv2
|
zs_opt
| 9
|
test
|
Part 1. Definition
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D.
Part 2. Example
Prompt: A clown is fashioning animals from long balloons. He
Completion A: releases the animals into their natural habitat.
Completion B: makes a giraffe and hands it to a child.
Completion C: yells out for his second in command to pilot the battleship around the obstacle.
Completion D: releases the balloon and it flies high into the air.
Answer: Completion B
Explanation: The clown is an entertainer and is twisting balloons to resemble an animal. There are no live animals, and these types of twistable balloons are not able to fly or float up.
Part 3. Exercise
Prompt: I got a papercut. I
Completion A: bled on my friend.
Completion B: threw away the paper.
Completion C: blamed my friend.
Completion D: gasped.
Answer:
|
Completion D
|
task156_codah_classification_adversarial
|
NIv2
|
fs_opt
| 7
|
validation
|
Q: In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
PersonX fights PersonX's ___ alone
A:
|
bear
|
task1217_atomic_answer_generation
|
NIv2
|
zs_opt
| 7
|
train
|
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Ex Input:
PersonX puts ___ in the way
Ex Output:
a chair
Ex Input:
PersonX gives ___ money
Ex Output:
the vending machine
Ex Input:
PersonX handles every ___
Ex Output:
|
apple
|
task1217_atomic_answer_generation
|
NIv2
|
fs_opt
| 1
|
train
|
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Q: PersonX pries open ___
A:
|
locks
|
task1217_atomic_answer_generation
|
NIv2
|
zs_opt
| 4
|
train
|
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
One example is below.
Q: PersonX sees ___ in the wild
A: tiger
Rationale: This is a good example. The output is a correct answer for this question.
Q: PersonX helps ___ along
A:
|
dog
|
task1217_atomic_answer_generation
|
NIv2
|
fs_opt
| 9
|
train
|
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Example Input: PersonX sells PersonY's ___ for money
Example Output: car
Example Input: PersonX writes home about ___
Example Output: airplane
Example Input: PersonX classifies ___ into categories
Example Output:
|
jobs
|
task1217_atomic_answer_generation
|
NIv2
|
fs_opt
| 3
|
train
|
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Example: PersonX sees ___ in the wild
Example solution: tiger
Example explanation: This is a good example. The output is a correct answer for this question.
Problem: PersonX does ___ without consulting
|
Solution: homework
|
task1217_atomic_answer_generation
|
NIv2
|
fs_opt
| 5
|
train
|
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
PersonX believes every ___
Output:
|
one
|
task1217_atomic_answer_generation
|
NIv2
|
zs_opt
| 1
|
train
|
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
--------
Question: PersonX lit another ___
Answer: cigar
Question: PersonX encourages PersonY's ___ hither
Answer: jump rope
Question: PersonX never made ___
Answer:
|
meatloaf
|
task1217_atomic_answer_generation
|
NIv2
|
fs_opt
| 7
|
train
|
Detailed Instructions: In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Q: PersonX works ___ in hand
A:
|
screws
|
task1217_atomic_answer_generation
|
NIv2
|
zs_opt
| 9
|
test
|
Instructions: In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Input: PersonX links ___ together
Output:
|
chains
|
task1217_atomic_answer_generation
|
NIv2
|
zs_opt
| 3
|
validation
|
Question: Found the following article online, use it to answer the question: What is the unifying musical device employed that most noticeably occurs in the first two notes of "I know that my Redeemer liveth"? Handel's music for Messiah is distinguished from most of his other oratorios by an orchestral restraint—a quality which the musicologist Percy M. Young observes was not adopted by Mozart and other later arrangers of the music. The work begins quietly, with instrumental and solo movements preceding the first appearance of the chorus, whose entry in the low alto register is muted. A particular aspect of Handel's restraint is his limited use of trumpets throughout the work. After their introduction in the Part I chorus "Glory to God", apart from the solo in "The trumpet shall sound" they are heard only in "Hallelujah" and the final chorus "Worthy is the Lamb". It is this rarity, says Young, that makes these brass interpolations particularly effective: "Increase them and the thrill is diminished". In "Glory to God", Handel marked the entry of the trumpets as da lontano e un poco piano, meaning "quietly, from afar"; his original intention had been to place the brass offstage (in disparte) at this point, to highlight the effect of distance. In this initial appearance the trumpets lack the expected drum accompaniment, "a deliberate withholding of effect, leaving something in reserve for Parts II and III" according to Luckett.Although Messiah is not in any particular key, Handel's tonal scheme has been summarised by the musicologist Anthony Hicks as "an aspiration towards D major", the key musically associated with light and glory. As the oratorio moves forward with various shifts in key to reflect changes in mood, D major emerges at significant points, primarily the "trumpet" movements with their uplifting messages. It is the key in which the work reaches its triumphant ending. In the absence of a predominant key, other integrating elements have been proposed. For example, the musicologist Rudolf Steglich has suggested that Handel used the device of the "ascending fourth" as a unifying motif; this device most noticeably occurs in the first two notes of "I know that my Redeemer liveth" and on numerous other...
Answer: ascending fourth
Question: Found the following article online, use it to answer the question: What is the first name of the person who, along with Denise, cannot pick out the attacker from a police lineup? Terry asks his boss's wife Sylvia to his apartment after an office party and the two go to bed. Later, while he is in the bathroom, she hears screams outside and goes naked to the window. Seeing a man attacking a young woman, she opens the window and the assailant runs away. When the media report the murder of a young woman near Terry's flat that night, he thinks the police should know what Sylvia saw but, to protect her, claims he was at the bedroom window. At a police lineup, neither he nor the victim Denise is able to pick out the attacker Carl. Despite the feeble evidence against him, Carl is put on trial for the assault and during the proceedings his lawyer proves that since Terry is short-sighted he could not have witnessed the incident. Carl goes free, leaving not only the police and the prosecution but also Denise and Sylvia aghast at Terry's ineptness. In the courtroom, Carl recognised Sylvia as the woman at the window. Desperate to warn her, Terry finds her at a ballet performance and tells her she must go to the police, but she refuses all further involvement. As he leaves, he sees Carl's distinctive truck parked outside and rushes in again. He is too late, however, for in the dark she has been stabbed fatally and dies in Terry's arms. He takes refuge with Denise, who first seduces him and then offers him a chance to redeem himself. She wants revenge, and with him devises a plot to provoke Carl into another attack. Disguising herself, she goes to a bar where Carl is drinking and signals her availability. Terry follows her as she leaves to go home and, when Carl attacks, the two are able to repel him. He escapes, only to be caught by the police who Terry forewarned.
Answer: Terry
Question: Found the following article online, use it to answer the question: What are the names of the two people who the genre of Chinese travel literature became popular with? The visual arts during the Song dynasty were heightened by new developments such as advances in landscape and portrait painting. The gentry elite engaged in the arts as accepted pastimes of the cultured scholar-official, including painting, composing poetry, and writing calligraphy. The poet and statesman Su Shi and his associate Mi Fu (1051–1107) enjoyed antiquarian affairs, often borrowing or buying art pieces to study and copy. Poetry and literature profited from the rising popularity and development of the ci poetry form. Enormous encyclopedic volumes were compiled, such as works of historiography and dozens of treatises on technical subjects. This included the universal history text of the Zizhi Tongjian, compiled into 1000 volumes of 9.4 million written Chinese characters. The genre of Chinese travel literature also became popular with the writings of the geographer Fan Chengda (1126–1193) and Su Shi, the latter of whom wrote the 'daytrip essay' known as Record of Stone Bell Mountain that used persuasive writing to argue for a philosophical point. Although an early form of the local geographic gazetteer existed in China since the 1st century, the matured form known as "treatise on a place", or fangzhi, replaced the old "map guide", or tujing, during the Song dynasty.The imperial courts of the emperor's palace were filled with his entourage of court painters, calligraphers, poets, and storytellers. Emperor Huizong was a renowned artist as well as a patron of the arts. A prime example of a highly venerated court painter was Zhang Zeduan (1085–1145) who painted an enormous panoramic painting, Along the River During the Qingming Festival. Emperor Gaozong of Song initiated a massive art project during his reign, known as the Eighteen Songs of a Nomad Flute from the life story of Cai Wenji (b. 177). This art project was a diplomatic gesture to the Jin dynasty while he negotiated for the release of his mother from Jurchen captivity in the north.
Answer:
|
Fan Chengda
|
quoref_Found_Context_Online
|
P3
|
fs_opt
| 3
|
train
|
Found the following article online, use it to answer the question: What march was invoked when unemployment became a political issue in the 1980s? Before the start of the Second World War, and the establishment of war-based industries, Jarvis's initiatives brought modest relief to Jarrow. By 1939, about 100 men were employed in a small furniture factory and up to a further 500 in various metal-based industries set up on the Palmer's site. Jarvis had acquired the obsolete liners Olympic and Berengaria, to be broken up at the yard. However, after their triumphant homecoming many of the marchers felt that their endeavour had failed. Con Whalen, who at his death in 2003 was the last survivor of those who marched the full distance, said that the march was "a waste of time", but added that he had enjoyed every step. His fellow marcher Guy Waller, on the 40th anniversary of the march in 1976, said that "[t]he march produced no immediate startling upsurge in employment in the town. It took the war to do that". These views are shared by most commentators and historians. The Daily Mirror columnist Kevin Maguire calls the march "a heroic failure", while Matt Dobson, in The Socialist, writes that "out of all the hunger marches its aims were the most diluted and it made the most modest gains". The historians Malcolm Pearce and Geoffrey Stewart provide a positive perspective, arguing that the Jarrow March "helped to shape [post-Second World War] perceptions of the 1930s", and thus paved the way to social reform.Perry observes that "the passage of time has transformed the Jarrow Crusade ... into a potent talisman with which many apparently seek association". Thus the Labour Party, which in 1936 shunned the march, later adopted it as "a badge of credibility". In 1950 the party featured the Jarrow banners on its election posters; the march then disappeared from view in an era of high employment, only to be invoked again when unemployment again became a political issue in the 1980s. In the late 20th century and beyond, Labour leaders—Michael Foot, Neil Kinnock, Tony Blair—have all associated themselves with the march. In October 1986, on the 50th anniversary, a group...
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Jarrow March
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Please answer this: Found the following article online, use it to answer the question: Who do not believe that Arthur died by suicide? At his country estate, Arthur Hilton is regaling his dinner guests of his exploits as a police officer decades earlier in Africa. He keys in a case where he had to track down a gang of three men who were suspected of a series of murders. He does stumble on them, but they actually end up capturing him. Fortunately, he was able to talk his way out of that predicament, and later on tracked them down again and captured them. One was hanged for his crimes, while the other two were sentenced to twenty years in prison. Little does Hilton know that two of his dinner guests, Edward Laverick and Edward Carter, are the two men who he sent to prison. They have vowed revenge, and prior to dinner, they exact it, killing Hilton. However, they have planned it to look like a suicide on the part of the elderly aristocrat. Initially, their plot seems successful, as the local constables who arrive to investigate the incident buy into the suicide scenario. Hilton's nephew, Jimmy Hilton, and his girlfriend Mollie, who also happens to be the ward of the elder Hilton, become suspicious of the story told by the two men, and begin their own investigation. Their questioning leads them to arrive at the truth, and the two murderers are apprehended.
++++++++
Answer: Mollie
Problem: Found the following article online, use it to answer the question: What is the full name of the person who added a provision to the hospital charter stipulating that the Mass for the Dead be offered twice daily? Nicolas Rolin was appointed Chancellor of Burgundy by Philip the Good in 1422, a position he held for the next 33 years. His tenure with the duke made him a wealthy man, and he donated a large portion of his fortune for the foundation of the Hôtel-Dieu in Beaune. It is not known why he decided to build in Beaune rather than in his birthplace of Autun. He may have chosen Beaune because it lacked a hospital and an outbreak of the plague decimated the population between 1438 and 1440. Furthermore, when in 1435 the Treaty of Arras failed to bring a cessation to the longstanding hostility and animosity between Burgundy and France, the town suffered brutal ravages and famine from écorcheurs (marauding bands) who roamed the countryside during the late 1430s and early 1440s. The hospice was built after Rolin gained permission from Pope Eugene IV in 1441, and it was eventually consecrated on 31 December 1452. In conjunction, Rolin established the religious order of "Les sœurs hospitalières de Beaune". Rolin dedicated the hospice to St Anthony Abbot, who was commonly associated with sickness and healing during the Middle Ages. In the hospice's founding charter, signed in August 1443, Rolin wrote that "disregarding all human concerns and in the interest of my salvation, desiring by a favourable trade to exchange for celestial goods temporal ones, that I might from divine goodness render those goods which are perishable for ones which are eternal ... in gratitude for the goods which the Lord, source of all wealth, has heaped upon me, from now on and for always, I found a hospital." In the late 1450s, only a few years before he died, he added a provision to the hospital charter stipulating that the Mass for the Dead be offered twice daily. Rolin's wife, Guigone de Salins, played a major role in the foundation, as probably did his nephew Jan Rolin. De Salins lived and served at the hospice until her own death in 1470.Documents regarding the artwork's commissioning survive and, unusually for a Netherlandish altarpiece,...
A: Nicolas Rolin
Q: Found the following article online, use it to answer the question: What are the first names of the people who purchased a complete set of prints, over which they drew and pasted demonic clown and puppy heads? Despite being one of the most significant anti-war works of art, The Disasters of War had no impact on the European consciousness for two generations, as it was not seen outside a small circle in Spain until it was published by Madrid's Royal Academy of San Fernando in 1863. Since then, interpretations in successive eras have reflected the sensibilities of the time. Goya was seen as a proto-Romantic in the early 19th century, and the series' graphically rendered dismembered carcasses were a direct influence on Théodore Géricault, best known for the politically charged Raft of the Medusa (1818–19). Luis Buñuel identified with Goya's sense of the absurd, and referenced his works in such films as the 1930 L'Âge d'Or, on which he collaborated with Salvador Dalí, and his 1962 The Exterminating Angel.The series' impact on Dalí is evident in Soft Construction with Boiled Beans (Premonition of Civil War), painted in 1936 in response to events leading to the Spanish Civil War. Here, the distorted limbs, brutal suppression, agonised expressions and ominous clouds are reminiscent of plate 39, Grande hazaña! Con muertos! (A heroic feat! With dead men!), in which mutilated bodies are shown against a backdrop barren landscape.In 1993, Jake and Dinos Chapman of the Young British Artists movement created 82 miniature, toy-like sculptures modelled on The Disasters of War. The works were widely acclaimed and purchased that year by the Tate gallery. For decades, Goya's series of etching served as a constant point of reference for the Chapman brothers; in particular, they created a number of variations based on the plate Grande hazaña! Con muertos!. In 2003, the Chapman brothers exhibited an altered version of The Disasters of War. They purchased a complete set of prints, over which they drew and pasted demonic clown and puppy heads. The Chapmans described their "rectified" images as making a connection between Napoleon's supposed introduction of Enlightenment ideals to early-19th-century Spain and Tony Blair and George W. Bush...
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Jake
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fs_opt
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Please answer this: Found the following article online, use it to answer the question: What is the last name of the person who starts a sexual relationship with a widow? Dr. Lawrence Angelo works for Virtual Space Industries, running experiments in increasing the intelligence of chimpanzees using drugs and virtual reality. One of the chimps escapes using the warfare tactics for which he was being trained. Dr. Angelo is generally a pacifist, who would rather explore the intelligence-enhancing potential of his research without applying it for military purposes. His wife Caroline is unhappy with the way he is ignoring her to focus on this project. Jobe Smith, a local greenskeeper with an intellectual disability, lives in the garden shed owned by the local priest, Father Francis McKeen. McKeen's brother, Terry, is a local landscape gardener and employs Jobe to help him with odd jobs. Father McKeen punishes the challenged Jobe with a belt and "Hail Marys" whenever he fails to complete his chores. Dr. Angelo realizes he needs a human subject to work with, and he spots Jobe mowing his lawn. Peter Parkette, Dr. Angelo's young neighbor, is friends with Jobe. Dr. Angelo invites both of them over to play some virtual reality games. Learning more about Jobe, Angelo persuades him to participate in his experiments, letting him know it will make him smarter. Jobe agrees and begins the program. Dr. Angelo makes it a point to redesign all the intelligence-boosting treatments without the "aggression factors" used in the chimpanzee experiments. Jobe soon becomes smarter, for example, learning Latin in only two hours. Meanwhile, Jobe also begins a sexual relationship with a young rich widow, Marnie. However, Jobe begins to display telepathic abilities and has hallucinations. He continues training at the lab, until an accident makes Dr. Angelo shut the program down. The project director, Sebastian Timms, employed by a mysterious agency known as The Shop, keeps tabs on the progress of the experiment, and discreetly swaps Dr. Angelo's new medications with the old Project 5 supply (reintroducing the "aggression factors" into the treatment).
++++++++
Answer: Smith
Problem: Found the following article online, use it to answer the question: What is the first name of the person who used a Pepper's ghost illusion? Peter Hall directed the Bayreuth Ring after Chéreau. His version, staged 1983–86, portrayed the natural innocence of the Rhinemaidens in the simplest of ways; they were naked. Keith Warner adapted this feature in his Ring production for the Royal Opera House Covent Garden, first staged 2004–06. A Covent Garden spokesman explained "The maidens are children of innocence, a vision of nature – and as soon as someone appears they hastily throw on some clothes to protect their modesty." While Warner relies on lighting to achieve an underwater effect, Hall used a Pepper's ghost illusion: mirrors at a 45° angle made the Rhinemaidens appear to swim vertically when the performers were in fact swimming horizontally in a shallow basin.Although the roles of the Rhinemaidens are relatively small, they have been sung by notable singers better known for performing major roles in Wagnerian and other repertoire. The first person to sing the part of Woglinde in full was Lilli Lehmann at Bayreuth in 1876. In 1951, when the Bayreuth Festival re-opened after the Second World War, the same part was taken by Elisabeth Schwarzkopf. Other Bayreuth Rhinemaidens include Helga Dernesch who sang Wellgunde there between 1965 and 1967. Lotte Lehmann played Wellgunde at the Hamburg State Opera between 1912 and 1914 and the Vienna State Opera in 1916. Recorded Rhinemaidens have included Sena Jurinac for Furtwängler and RAI, Lucia Popp and Gwyneth Jones for Georg Solti, and Helen Donath and Edda Moser for Karajan.
A: Peter
Q: Found the following article online, use it to answer the question: What is the first name of the person who said Of Human Feelings was one of the few albums that helped him both become a better listener of rock music and learn how to enjoy jazz? Coleman received $25,000 for the publishing rights to Of Human Feelings but said his managers sold it for less than the recording costs and that he did not receive any of its royalties. According to Stan Bernstein, Coleman had financial expectations that were "unrealistic in this business unless you're Michael Jackson". Antilles label executive Ron Goldstein felt the $25,000 Coleman received was neither a great nor a fair amount for someone in jazz. After he had gone over budget to record a follow-up album, Island did not release it nor pick up their option on him, and in 1983, he left the Bernstein Agency. He chose Denardo Coleman to manage his career while overcoming his reticence of public performance, which had been rooted in his distrust of doing business with a predominantly White music industry. According to Nicholson, "the man once accused of standing on the throat of jazz was welcomed back to the touring circuits with both curiosity and affection" during the 1980s. Coleman did not record another album for six years and instead performed internationally with Prime Time.In a 1986 article for The New York Times on Coleman's work with Prime Time, Robert Palmer said Of Human Feelings was still innovative and radical by the standards of other music in 1982, three years after it was recorded. Because writers and musicians had heard its test pressing in 1979, the album's mix of jazz improvisation and gritty, punk and funk-derived energy sounded "prophetic" when it was released, Palmer explained. "The album is clearly the progenitor of much that has sounded radically new in the ongoing fusion of punk rock, black dance rhythms, and free jazz." AllMusic critic Scott Yanow said although Coleman's compositions never achieved popularity, they succeeded within the context of an album that showcased his distinctive saxophone style, which was high-brow yet catchy. Joshua Klein from The A.V. Club recommended Of Human Feelings as the best album for new listeners of Coleman's harmolodics-based music, while Chicago...
A:
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Greg
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fs_opt
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train
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Found the following article online, use it to answer the question: What is the last name of the person that taught Knud Jeppesen? From 1916, Nielsen taught at the Royal Academy where he became director in 1931, shortly before his death. He also had private students in his earlier days in order to supplement his income. As a result of his teaching, Nielsen has exerted considerable influence on classical music in Denmark. Among his most successful pupils were the composers Thorvald Aagaard, remembered in particular for his songs, Harald Agersnap, both a conductor and orchestral composer, and Jørgen Bentzon who composed choral and chamber music mainly for his folk music school (Københavns Folkemusikskole). Among his other students were the musicologist Knud Jeppesen, the pianist Herman Koppel, the academy professor and symphony composer Poul Schierbeck, the organist Emilius Bangert who played at Roskilde Cathedral, and Nancy Dalberg, one of Nielsen's private students who helped with the orchestration of Aladdin. Nielsen also instructed the conductor and choirmaster Mogens Wöldike, remembered for his interpretations of Baroque music, and Rudolph Simonsen, the pianist and composer who became director of the Academy after Nielsen's death.The Carl Nielsen Society maintains a listing of performances of Nielsen's works, classified by region (Denmark, Scandinavia, Europe apart from Scandinavia and outside Europe) which demonstrates that his music is regularly performed throughout the world. The concerti and symphonies feature frequently in these listings. The Carl Nielsen International Competition commenced in the 1970s under the auspices of the Odense Symphony Orchestra. A four-yearly violin competition has been held there since 1980. Flute and clarinet competitions were later added, but these have now been discontinued. An international Organ Competition, founded by the city of Odense, became associated with the Nielsen competition in 2009, but from 2015 will be organized separately, based in Odense Cathedral.
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Nielsen
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Answer the following question: Found the following article online, use it to answer the question: What was the full name of the person who dies in 1927? In 1861, Rossier was in Siam, where he assisted the French zoologist Firmin Bocourt by taking ethnographic portraits for the latter's scientific expedition of 1861–1862, and in 1863, Negretti and Zambra issued a series of 30 stereographic portraits and landscapes taken in Siam that are almost certainly the work of Rossier. In February 1862, Rossier was again in Shanghai, where he sold his cameras and other photographic equipment before embarking for Europe. During his time in Asia it is possible that Rossier photographed in India; Negretti and Zambra issued a series of views of India at about the same time as Rossier's China views.Rossier returned to Switzerland in early 1862 and, in October 1865, married Catharine Barbe Kaelin (1843–1867). The couple had a son, Christophe Marie Pierre Joseph, who was born on 30 July 1866. Catharine died on 4 April 1867. Rossier maintained a photographic studio in Fribourg until at least 1876 and he also had a studio in Einsiedeln. During the 1860s and 1870s, he produced a number of stereographs and cartes-de-visite comprising portraits and views of Fribourg, Einsiedeln and other places in Switzerland. An 1871 advertisement in the French-language Fribourg newspaper La Liberté offered photographs by Rossier of religious paintings by the artist Melchior Paul von Deschwanden. In 1872, Rossier applied for a passport to travel to France where he may have produced photographs. At some point between 1871 and 1884, he married again. His second wife, Marie Virginie Overney, was employed as a household servant by the landlords of his studio. They had a son, Joseph Louis, who was born in Paris on 16 March 1884, and who went on to own a café in Vevey, Switzerland. He died in 1927. Pierre Rossier died in Paris some time between 1883 and 1898.Examples of Rossier's views of Switzerland are held in several institutions and private collections in that country. Rossier took the first commercial photographs of China and Japan, and they are now quite rare. He complained at times of the adverse...
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Joseph Louis
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quoref_Found_Context_Online
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P3
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zs_opt
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train
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Q:Found the following article online, use it to answer the question: What was the name of the concert that was recorded and released in December 2004? The duo were disappointed with their performance, particularly Garfunkel, who felt that he sang poorly. Simon said that he did not immediately realize the magnitude of the event: "I didn't get what had happened – how big it was – until I went home, turned on the television and saw it on all the news ... and later that night on the front pages of all the newspapers. Then I got it."In May 1982, Simon & Garfunkel went on a world tour with stops in Japan, Germany, Denmark, Sweden, Switzerland, the Netherlands, Ireland, France, Great Britain, New Zealand, the US and Canada. The European leg of their tour began on May 28, 1982, at the Stadion am Bieberer Berg in Offenbach am Main. This was their first performance in Germany, and had an attendance of around 40,000 spectators.When they were not on the road, the duo went into the studio to work on what was to be a reunion Simon & Garfunkel album, tentatively entitled Think Too Much, with Garfunkel adding harmony vocals to a bunch of new songs for which Simon had already laid down some backing tracks. They set a release date of spring 1983 to coincide with their planned North American tour, but after increasingly acrimonious delays and disagreements, Simon told Warner Brothers he could no longer work with Garfunkel and that the project as an S&G album was cancelled. Thus Garfunkel dropped out of the project, which then became Simon's November 1983 solo album Hearts and Bones.Several years would pass before Simon & Garfunkel worked together again. Their next joint public appearance was in 1990, when they performed for their induction into the Rock and Roll Hall of Fame. When Simon gave another free concert in Central Park on August 15, 1991, he rejected Garfunkel's offer to participate. However, they agreed to perform together in 1993 for 21 sold out concerts in New York, with half of the show being Paul Simon solo with a band and the other half Simon and Garfunkel. Later the same year, they did some charity concerts, including the Bridge School Benefit concerts and a...
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Old Friends Tour
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quoref_Found_Context_Online
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P3
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zs_opt
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train
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Found the following article online, use it to answer the question: What is the name of the person who was married to Claire Delbos? In the autumn of 1927, Messiaen joined Dupré's organ course. Dupré later wrote that Messiaen, having never seen an organ console, sat quietly for an hour while Dupré explained and demonstrated the instrument, and then came back a week later to play Johann Sebastian Bach's Fantasia in C minor to an impressive standard. From 1929, Messiaen regularly deputised at the Église de la Sainte-Trinité, Paris, for the organist Charles Quef, who was ill at the time. The post became vacant in 1931 when Quef died, and Dupré, Charles Tournemire and Widor among others supported Messiaen's candidacy. His formal application included a letter of recommendation from Widor. The appointment was confirmed in 1931, and he remained the organist at the church for more than sixty years. He also assumed a post at the Schola Cantorum de Paris in the early 1930s. In 1932, he composed the Apparition de l'église éternelle for organ. He married the violinist and composer Claire Delbos also in 1932. Their marriage inspired him to both compose works for her to play (Thème et variations for violin and piano in the year they were married) and to write pieces to celebrate their domestic happiness, including the song cycle Poèmes pour Mi in 1936, which he orchestrated in 1937. Mi was Messiaen's affectionate nickname for his wife. In 1937 their son Pascal was born. The marriage turned to tragedy when Delbos lost her memory after an operation towards the end of World War II. She spent the rest of her life in mental institutions.In 1936, along with André Jolivet, Daniel-Lesur and Yves Baudrier, Messiaen formed the group La jeune France ("Young France"). Their manifesto implicitly attacked the frivolity predominant in contemporary Parisian music and rejected Jean Cocteau's 1918 Le coq et l'arlequin in favour of a "living music, having the impetus of sincerity, generosity and artistic conscientiousness". Messiaen's career soon departed from this polemical phase.
The answer to this question is:
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Messiaen
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quoref_Found_Context_Online
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P3
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zs_noopt
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train
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Found the following article online, use it to answer the question: What failed to reach its reserve price at auction? On 7 May 1896, Sir Humphrey Francis de Trafford put the 1,183-acre (4,790,000 m2) estate up for auction, but it failed to reach its reported reserve price of £300,000 (£34.1 million as of 2019). There was much public debate, before and after the abortive sale, as to whether Manchester Corporation ought to buy Trafford Park, but the corporation could not agree terms quickly enough, and so on 23 June Ernest Terah Hooley became the new owner of Trafford Park, for the sum of £360,000 (£40.9 million as of 2019).On 17 August, Hooley formed Trafford Park Estates Ltd, transferring his ownership of the park to the new company – of which he was the chairman and a significant shareholder – at a substantial profit. The initial plans for the estate included a racetrack, exclusive housing and a cycle works, along with the development of the ship canal frontage for "all types of trade including timber". By that time the ship canal had been open for two years, but the predicted traffic had yet to materialise. Hooley met with Marshall Stevens, the general manager of the Ship Canal Company, and both men recognised the benefit that the industrial development of Trafford Park could offer to the ship canal, and the ship canal to the estate. In January 1897 Stevens became the managing director of Trafford Park Estates. He remained with the company, latterly as its joint chairman and managing director, until 1930. The company initially chose not to construct buildings for letting, and instead leased land for development. But by the end of June 1897 less than one per cent of the park had been leased, and so the park's existing assets were put to use until more tenants could be found. Trafford Hall was opened as a hotel in 1899, to serve prospective industrialists considering a move to the park, along with their key employees. It had 40 bedrooms, available to "Gentlemen only". The hall's stables and some other outbuildings were used for stock auctions and the sale of horses, from 1900 to 1902, and the ornamental lake was leased to...
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Trafford Park
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quoref_Found_Context_Online
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P3
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[Q]: Found the following article online, use it to answer the question: Who plans to infiltrate Area 51? Reid, Darrin, and Ben are three close friends who attend a party together one evening. During the party, Reid inexplicably vanishes. Unable to find him, Darrin and Ben leave. While driving home on a dark, secluded road, they suddenly find Reid standing in the middle of the road, leading to them nearly running him over. Once in the car, Reid seems detached and in a daze, though nothing is made of his odd behavior. The incident causes Reid to become obsessed with aliens and, in particular, Area 51. He spends the next three months devising a plan to infiltrate Area 51 and uncover the base's secrets. However, Reid's obsession with extraterrestrial research leaves him detached from his family and even causes him to lose his job. He is joined by Darrin, Ben, and Jelena, another conspiracy theorist whose father worked at Area 51. They plan on infiltrating the military base by using signal jammers, night vision goggles, Freon-laced jumpsuits, and pills to mask their ammonia levels.Per the advice of Jelena's father, the group stalks a man they suspect is an important figure at Area 51. Reid and Darrin sneak into the man's house and steal his security badge. Ben drops the three off in the middle of the desert and waits for them to return. Reid, Darrin and Jelena successfully bypass the base's perimeter defenses and enter the complex using the security badge they had previously acquired. The three venture deeper into the base where they discover a lab containing a life-like liquid substance and anti-gravity material. They also encounter an alien spacecraft in a hangar, which only Reid can enter and interact with.
****
[A]: Reid
input: Please answer the following: Found the following article online, use it to answer the question: What group was compared to Devo? "R U Professional" was made available on YouTube and MediaFire on February 3, 2009. The video description on YouTube by the group stated, "Song By The Mae Shi celebrating the life and work of Xtian Bale. Bale's performance as John Connor in the upcoming Terminator 4 'Redemption' Film will no doubt be one of the greatest of all time. He will win every Oscar for his performance, even the special effects and animation ones." The Independent reported that the band would appear at a music festival, "The Fans Strike Back", and requested they perform "R U Professional".Several media outlets attempted to place the work within a particular genre. MTV compared the song's style to the group Devo and new wave music. El País described the piece as an electropop song that contributed to the viral spread of the Christian Bale rant after its release on the Internet. Dose described it as an electro jam session which made adept use of sampling from the audio of Bale's rhetoric. The Los Angeles Times called the piece a lively pop music tribute to the actor. USA Today called the song fun dance music and creatively motivated. The Toronto Sun praised its original lyrics and use of audio from the incident, and described the piece as a fusion of electro-pop styles and a good song for dancing. New Musical Express recommended the piece, and described it as electro-rock which astutely sampled Bale throughout the song. The St. Louis Post-Dispatch described the piece as a form of new wave music which used the most spasmodic segments of the incident, and commented that the end product was comedic. The Arizona Daily Star described the piece as a pop music dance song.Multiple sources remarked upon the speed with which The Mae Shi were able to put the song together and release it. The A.V. Club highlighted the song among Internet memes inspired by the Bale melee, and wrote that though the piece was put together quickly it was quite entertaining and inventive. The Irish Independent was surprised at the speed multiple different satirical...
++++++++++
output: The Mae Shi
Problem: Found the following article online, use it to answer the question: What were the names of the two songs Saint-Saëns wrote during his career? From the age of six and for the rest of his life Saint-Saëns composed mélodies, writing more than 140. He regarded his songs as thoroughly and typically French, denying any influence from Schubert or other German composers of Lieder. Unlike his protégé Fauré, or his rival Massenet, he was not drawn to the song cycle, writing only two during his long career – Mélodies persanes ("Persian Songs", 1870) and Le Cendre rouge ("The Red Ash Tree", 1914, dedicated to Fauré). The poet whose works he set most often was Victor Hugo; others included Alphonse de Lamartine, Pierre Corneille, Amable Tastu, and, in eight songs, Saint-Saëns himself: among his many non-musical talents he was an amateur poet. He was highly sensitive to word setting, and told the young composer Lili Boulanger that to write songs effectively musical talent was not enough: "you must study the French language in depth; it is indispensable." Most of the mélodies are written for piano accompaniment, but a few, including "Le lever du soleil sur le Nil" ("Sunrise over the Nile", 1898) and "Hymne à la paix" ("Hymn to Peace", 1919), are for voice and orchestra. His settings, and chosen verses, are generally traditional in form, contrasting with the free verse and less structured forms of a later generation of French composers, including Debussy.Saint-Saëns composed more than sixty sacred vocal works, ranging from motets to masses and oratorios. Among the larger-scale compositions are the Requiem (1878) and the oratorios Le déluge (1875) and The Promised Land (1913) with an English text by Herman Klein. He was proud of his connection with British choirs, commenting, "One likes to be appreciated in the home, par excellence, of oratorio." He wrote a smaller number of secular choral works, some for unaccompanied choir, some with piano accompaniment and some with full orchestra. In his choral works, Saint-Saëns drew heavily on tradition, feeling that his models should be Handel, Mendelssohn and other earlier masters of the genre. In Klein's view, this approach...
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Le Cendre rouge
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In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
One example: Sometimes, you have to smile, pretend everything is okay, and just walk away.
Solution is here: Not happy
Explanation: The tweet author isn't happy.
Now, solve this: ,, The solar eclipse was really cool.. #inspiring!
Solution:
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Happy
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task398_semeval_2018_task1_tweet_joy_detection
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NIv2
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fs_opt
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In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
[EX Q]: Mind if I tag along?' She asked cheerfully, sweeping a lock of hair behind her ear. 'I want to see if you've really got • @DitheringWizard
[EX A]: Not happy
[EX Q]: When your rewatching glee and break down in tears all over again. 😭😢
[EX A]: Not happy
[EX Q]: Ain't nothing like a good leg workout to start of the day 🤘
[EX A]:
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Happy
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task398_semeval_2018_task1_tweet_joy_detection
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Q: In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
@amstrado_CPC @ShittySUFanart the single tear is him being joyous that he's deleted the monster that has brought generations of despair
A:
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Not happy
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task398_semeval_2018_task1_tweet_joy_detection
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NIv2
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instruction:
In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
question:
@actor_nithiin Happy birthday Manisharma sirr............... Have a great year head
answer:
Happy
question:
MOMS - NO Dancing at the bus stop... you might embarrass your kid 😂😂#luckytohaveme\n#momonfire #giggles
answer:
Happy
question:
Instead of asking #blessing from GOD the Father, remain #engaged on #pilgrimage of remembrance. Never get #tired on spiritual pilgrimage.
answer:
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Happy
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task398_semeval_2018_task1_tweet_joy_detection
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NIv2
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fs_opt
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Part 1. Definition
In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Part 2. Example
Sometimes, you have to smile, pretend everything is okay, and just walk away.
Answer: Not happy
Explanation: The tweet author isn't happy.
Part 3. Exercise
@israelradioguy @WearingWelcome @SkipBaylessSux U blocking doesnt diminish the hilarity of his observation.Or your child-like response to it
Answer:
|
Not happy
|
task398_semeval_2018_task1_tweet_joy_detection
|
NIv2
|
fs_opt
| 7
|
train
|
Detailed Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Problem:@KOlusola @CurlineO Just look at those happy smiles! Beautiful! 💛
Solution:
|
Happy
|
task398_semeval_2018_task1_tweet_joy_detection
|
NIv2
|
zs_opt
| 8
|
train
|
Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Input: @ShadGandel i'm glad that despite my weeks of being MIA we can still talk about the most idiotic shit\n\nTURN AROUND BRIGHT EYES
Output:
|
Not happy
|
task398_semeval_2018_task1_tweet_joy_detection
|
NIv2
|
zs_opt
| 3
|
train
|
In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Ex Input:
Going to bed with dry and clean hair. #blessing
Ex Output:
Happy
Ex Input:
@tootaehyung omggg i'll be bloated then ;;-;; but it's a wonderful idea i'll start doing it tomorrow!!
Ex Output:
Happy
Ex Input:
@SueLeibman Just got an audition for a lead role in a #SAGFilm #actor #moviestar #awesome #happy @IMDb #Me #RT
Ex Output:
|
Happy
|
task398_semeval_2018_task1_tweet_joy_detection
|
NIv2
|
fs_opt
| 1
|
train
|
In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
One example is below.
Q: Sometimes, you have to smile, pretend everything is okay, and just walk away.
A: Not happy
Rationale: The tweet author isn't happy.
Q: y'all shabazz's name in my phone is 'easy breezy beautiful' & I will not apologize.
A:
|
Not happy
|
task398_semeval_2018_task1_tweet_joy_detection
|
NIv2
|
fs_opt
| 9
|
test
|
instruction:
In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
question:
Heading to PNC today to get the ball going for my MA! #goingforit #nervous #excited
answer:
Happy
question:
Pinterest one dessert... Next thing you know your pinning how to make 27 different visually pleasing mouth watering never gonna make sweets.
answer:
Not happy
question:
This morning, watched a hummingbird, two cardinals, a bunch of finches, a large bunny, and a baby bunny all feasting in the backyard. #happy
answer:
|
Happy
|
task398_semeval_2018_task1_tweet_joy_detection
|
NIv2
|
fs_opt
| 9
|
validation
|
Detailed Instructions: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Q: Hypothesis: It's good to tell others things that might interest them about others.
Update: You are gossiping about others.
A:
|
weakener
|
task937_defeasible_nli_social_classification
|
NIv2
|
zs_opt
| 9
|
train
|
Given the task definition and input, reply with output. In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Hypothesis: It's wrong not to buy a wedding gift for someone you're close to.
Update: Especially if they're just starting out and you can afford to.
|
strengthener
|
task937_defeasible_nli_social_classification
|
NIv2
|
zs_opt
| 5
|
train
|
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
One example: Hypothesis: You should help your family with funeral expenses.
Update: They have asked you to chip in
Solution is here: strengthener
Explanation: If your family has asked you to chip in for the funeral expenses, you should help them.
Now, solve this: Hypothesis: Parents are expected to share the duty of raising their children.
Update: Both parents are home the same amount of time.
Solution:
|
strengthener
|
task937_defeasible_nli_social_classification
|
NIv2
|
fs_opt
| 6
|
train
|
Detailed Instructions: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Problem:Hypothesis: It's expected that you tell your significant other why you are breaking up with them.
Update: It is nothing they have done it is your own growth or unhappiness that causes it.
Solution:
|
strengthener
|
task937_defeasible_nli_social_classification
|
NIv2
|
zs_opt
| 8
|
train
|
Detailed Instructions: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
See one example below:
Problem: Hypothesis: You should help your family with funeral expenses.
Update: They have asked you to chip in
Solution: strengthener
Explanation: If your family has asked you to chip in for the funeral expenses, you should help them.
Problem: Hypothesis: You shouldn't be expected to drop everything you're doing for your partner.
Update: You are just laying on the couch watching tv.
Solution:
|
weakener
|
task937_defeasible_nli_social_classification
|
NIv2
|
fs_opt
| 4
|
train
|
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Q: Hypothesis: It's expected that your family will welcome you to their holiday gathering.
Update: you still live in the same town they do
A:
|
strengthener
|
task937_defeasible_nli_social_classification
|
NIv2
|
zs_opt
| 4
|
train
|
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Q: Hypothesis: It's fine to stop being friends with people who have disrespected you.
Update: You disrespected them first, and they are only trying to teach you a lesson.
A:
|
weakener
|
task937_defeasible_nli_social_classification
|
NIv2
|
zs_opt
| 4
|
train
|
Teacher: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Teacher: Now, understand the problem? If you are still confused, see the following example:
Hypothesis: You should help your family with funeral expenses.
Update: They have asked you to chip in
Solution: strengthener
Reason: If your family has asked you to chip in for the funeral expenses, you should help them.
Now, solve this instance: Hypothesis: It is expected that employment sometimes takes you away from home.
Update: you work from home.
Student:
|
weakener
|
task937_defeasible_nli_social_classification
|
NIv2
|
fs_opt
| 2
|
train
|
Detailed Instructions: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Q: Hypothesis: It is rude to ask friends for free things.
Update: they own their own business.
A:
|
strengthener
|
task937_defeasible_nli_social_classification
|
NIv2
|
zs_opt
| 9
|
test
|
Teacher:In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Teacher: Now, understand the problem? Solve this instance: Hypothesis: Being there to support your best friend on an important day is expected.
Update: you have the flu
Student:
|
weakener
|
task937_defeasible_nli_social_classification
|
NIv2
|
zs_opt
| 6
|
validation
|
Given the fact that: The farther the object is stretched or compressed, the greater its elastic potential energy is. Answer the question: Donna contracts a rubber band further and further. The elastic potential energy of the rubber band will be greater or less?
Answer:
|
less
|
quartz_given_the_fact_answer_the_q
|
P3
|
zs_noopt
| 1
|
train
|
Given the question: Given the fact that: Smaller sediments are dropped as the slope becomes less steep. Answer the question: When looking at a hill, Shane sees that the sand on the steep slopes is finer or thicker?
The answer is:
|
finer
|
quartz_given_the_fact_answer_the_q
|
P3
|
zs_noopt
| 6
|
train
|
Ques:Given the fact that: A decrease in greenhouse gas levels decreases global temperature and an increase raises global temperature. Answer the question: John's company committed to decrease greenhouse gas production worldwide. What likely happens to the global temperature in the future as a result it will increase or it will decrease?
Ans:it will decrease
-----
Ques:Given the fact that: If the gas is heated, the particles will move faster as they gain more energy. Answer the question: Bob heats up some gas at the plant. When he does this, the gas particles move faster and gain energy or lose energy.?
Ans:gain energy
-----
Ques:Given the fact that: The closer objects are, the stronger the gravitational pull between them. Answer the question: If Milo is holding two oranges 5 feet apart and he moves them so they are 2 feet apart, what happens to the gravitational pull between the objects decreases or increases?
Ans:increases
-----
Ques:Given the fact that: The farther the object is stretched or compressed, the greater its elastic potential energy is. Answer the question: Decker pulls some taffy as far as he can. The elastic potential energy of the candy would increase or decrease?
Ans:
|
increase
-----
|
quartz_given_the_fact_answer_the_q
|
P3
|
fs_opt
| 9
|
train
|
Q:Given the fact that: Bigger stars produce more energy, so their surfaces are hotter. Answer the question: Would a big star be hotter or colder?
A:
|
hotter
|
quartz_given_the_fact_answer_the_q
|
P3
|
zs_noopt
| 3
|
train
|
Please answer the following question: Given the fact that: Bigger stars produce more energy, so their surfaces are hotter. Answer the question: Annette took temperature readings of two different stars far off in the Milky Way galaxy. Star B produced twice the energy of Star A, so Star A or Star B was seen to have the higher temperature?
Answer:
|
Star B
|
quartz_given_the_fact_answer_the_q
|
P3
|
zs_opt
| 9
|
train
|
Given the fact that: In the larger container we will still have the same number of gas particles, but now they are filling a much larger space. Answer the question: Eric adds gas to a 20ml container and Rita adds gas to a 10ml container. Which container holds more gas particles Rita or Eric?
Eric
Given the fact that: Temperature increases with depth inside the Earth, so melting of rocks is more likely to occur at greater depths. Answer the question: Mona is excavating a deep tunnel as part of an exploratory committee. As she travels upwards back from the Earth, what can she expect will happen to the temperature increase or decrease?
decrease
Given the fact that: Energy levels farther from the nucleus of an atom have more orbitals. Answer the question: Dana is trying to see how far the energy levels are from the nucleus in an atom. Since the energy levels are very close the nucleus, the atom has less orbitals or more orbitals?
less orbitals
Given the fact that: The farther the object is stretched or compressed, the greater its elastic potential energy is. Answer the question: If Mona is playing with a rubber band and she decides to stretch it out very far, what happens to the elastic potential energy of the rubber band increases or decreases?
|
increases
|
quartz_given_the_fact_answer_the_q
|
P3
|
fs_opt
| 0
|
train
|
Ques:Given the fact that: Objects with greater mass have greater inertia. Answer the question: When something is very lightweight what does it need to move more inertia or less inertia?
Ans:less inertia
-----
Ques:Given the fact that: With higher levels of dissolved carbon dioxide in ocean water, the water becomes more acidic. Answer the question: If Jim adds more carbon dioxide to the ocean, the level of acidity in the ocean becomes greater or smaller?
Ans:greater
-----
Ques:Given the fact that: The sooner cancer is treated, the greater the chances of a cure. Answer the question: Don is getting screened for cancer. Because his cancer is caught late, after it had metastasized, the chance of a cure is greater or lesser?
Ans:lesser
-----
Ques:Given the fact that: At higher elevations, there is less air to press on a given area. Answer the question: When we get to the bottom of a mountain the air is more dense or less dense?
Ans:
|
more dense
-----
|
quartz_given_the_fact_answer_the_q
|
P3
|
fs_opt
| 9
|
train
|
Please answer the following question: Given the fact that: In bigger atoms, valence electrons are farther from the nucleus. Answer the question: In small atoms valence electrons are usually closer or farther?
Answer:
|
closer
|
quartz_given_the_fact_answer_the_q
|
P3
|
zs_noopt
| 9
|
train
|
Question: Given the fact that: The glaciers on Earth are getting smaller and smaller as Earths temperature rises. Answer the question: If Earth's temperature were to plummet, there would be more or less glaciers?
Answer: more
Question: Given the fact that: If the gas is heated, the particles will move faster as they gain more energy. Answer the question: Dana wants the gas to move with as little energy as possible so the particles can move slowly. Dana will then do this to the gas cool or heat?
Answer: cool
Question: Given the fact that: The more mass a moving object has or the faster its moving, the greater its momentum. Answer the question: Between a marble and a cannon ball, both travelling at the same speed, the object with the least momentum would be the cannon ball or the marble??
Answer:
|
the marble?
|
quartz_given_the_fact_answer_the_q
|
P3
|
fs_opt
| 3
|
test
|
Given the fact that: As more resistors are added in series, the total resistance of the circuit increases. Answer the question: John was building a circuit in the electrical room when he noticed something. The more resistors he removed, the level of resistance would Decrease or Increase?
Answer:
|
Decrease
|
quartz_given_the_fact_answer_the_q
|
P3
|
zs_opt
| 1
|
validation
|
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